Перевод: со всех языков на английский

с английского на все языки

knowledge-based program

  • 1 conocimiento

    m.
    1 knowledge.
    hablar/actuar con conocimiento de causa to know what one is talking about/doing
    poner algo en conocimiento de alguien to bring something to somebody's attention, to inform somebody of something
    tener conocimiento de algo to be aware of something
    ha llegado a mi conocimiento que estás insatisfecho it has come to my attention that you are not happy
    2 consciousness (sentido, conciencia).
    perder/recobrar el conocimiento to lose/regain consciousness
    estaba tumbado en el suelo, sin conocimiento he was lying unconscious on the floor
    3 awareness, consciousness, cognizance.
    * * *
    1 (In 1, also used in plural with the same meaning) (saber) knowledge
    2 (sensatez) good sense
    3 (conciencia) consciousness
    \
    con conocimiento de causa with full knowledge of the facts
    perder el conocimiento to lose consciousness
    poner algo en conocimiento de alguien to make something known to somebody, inform somebody of something
    recobrar el conocimiento to regain consciousness, come round
    tener conocimiento de algo to know about something
    * * *
    noun m.
    * * *
    SM
    1) (=saber) knowledge

    conocimientos — (=nociones) knowledge sing

    mis pocos conocimientos de filosofía/cocina — my limited knowledge of philosophy/cookery

    2) (=información) knowledge

    • dar conocimiento de algo, dimos conocimiento del robo a la policía — we informed the police about the robbery

    • llegar a conocimiento de algn — to come to sb's attention o notice

    • tener conocimiento de algo, aún no tenemos conocimiento de su detención — we still do not know that he has been arrested

    desea ponerlo en conocimiento público — he wants it brought to the public's attention, he wishes it to be made public

    conocimiento de causa, hacer algo con conocimiento de causa — to be fully aware of what one is doing

    3) (=consciencia) consciousness

    recobrar o recuperar el conocimiento — to regain consciousness

    4) (=sentido común) common sense
    5) (Jur) cognizance frm
    6) (Com)
    * * *
    1)
    a) ( saber) knowledge
    b) conocimientos masculino plural ( nociones) knowledge
    2) (frml) ( información)

    dar conocimiento de algo a alguien — to inform o (frml) apprise somebody of something

    pongo en su conocimiento que... — (Corresp) I am writing to inform you that...

    con conocimiento de causa: obró con conocimiento de causa (frml) he took this step, fully aware of what the consequences would be; hablo con conocimiento de causa — I know what I'm talking about

    3) ( sentido) consciousness

    perder/recobrar el conocimiento — to lose/regain consciousness

    aún es pequeño, no tiene todavía conocimiento — he's not old enough to understand

    * * *
    = cognition, competency, enlightenment, expertise, familiarisation [familiarization, -USA], familiarity, insight, knowledge, learning, acquaintance, understanding, cognisance [cognizance, -USA], connoisseurship, consciousness.
    Ex. The information-processing model of cognition, and developments in artificial intelligence encourage such comparisons = El modelo de la cognición sobre el procesamiento de la información de y los avances de la inteligencia artificial fomentan este tipo de comparaciones.
    Ex. SLIS programmes intended to 'produce' librarians with competency in the use of IT have to be designed.
    Ex. Considered as necessary work in the interest of humanity and general enlightenment, bibliography gains ground as the years pass.
    Ex. Its primary function is to provide a centre for software and hardware expertise for its members.
    Ex. Step 1 Familiarisation: This first step involves the indexer in becoming conversant with the subject content of the document to be indexed.
    Ex. The most effective searchers are those who have both system experience and some familiarity with the subject area in which they are searching.
    Ex. The human indexer works mechanically and rapidly; he should require no insight into the document content.
    Ex. These factors form the basis of the problems in identifying a satisfactory subject approach, and start to explain the vast array of different tolls used in the subject approach to knowledge.
    Ex. It is the responsibility of educators to stretch their student's intellects, hone their skills of intuitive judgment and synthesis, and build a love of learning that will sustain them beyond the level of formal education.
    Ex. It is only with accumulating experience and many years of close study and acquaintance with bibliographic works that a really substantial body of knowledge of the potential of bibliographic sources is acquired.
    Ex. We librarians ought to have a clearer understanding of our stock-in-trade (books) and their function of social mechanism.
    Ex. The passive cognisance of growth causes considerable difficulties = El conocimiento pasivo del crecimiento causa dificultades importantes.
    Ex. This book explores the underlying institutional factors that help museum-based connoisseurship and aestheticism and university-based critical theory and revisionist scholarship exist.
    Ex. For example, the latter are unlikely to engage themselves in conservation issues as these now press upon the professional consciousness of librarians.
    ----
    * actualizar los conocimientos = upgrade + Posesivo + skills.
    * adquirir conocimiento = gain + knowledge, glean + knowledge, acquire + knowledge, build up + knowledge.
    * ampliar el conocimiento = expand + Posesivo + knowledge, expand + Posesivo + knowledge, widen + knowledge, broaden + knowledge, deepen + understanding.
    * ampliar las fronteras del conocimiento = push back + the frontiers of knowledge.
    * análisis de áreas del conocimiento = domain analysis.
    * análisis de dominios del conocimiento = domain analysis.
    * aprendizaje rico en conocimiento = knowledge-rich learning.
    * área de conocimiento = area of study.
    * área del conocimiento = area of knowledge, discipline, subject field, field of activity, knowledge domain, discipline of knowledge.
    * aumentar el conocimiento = expand + Posesivo + knowledge, deepen + awareness.
    * aumento del conocimiento = knowledge building.
    * bannco de conocimiento = knowledge bank.
    * basado en el conocimiento = knowledge-based.
    * basado en las disciplinas del conocimiento = discipline-based.
    * bibliotecario con conocimientos de medicina = informationist.
    * búsqueda del conocimiento = quest for/of knowledge.
    * campo del conocimiento = field of knowledge.
    * centrado en el conocimiento = knowledge-centric.
    * ciencia del conocimiento = cognitive science.
    * compartir el conocimiento = knowledge sharing, pool + knowledge.
    * con conocimiento = authoritatively.
    * con conocimiento básico en el manejo de la información = information literate [information-literate].
    * con conocimiento básico en el uso de la biblioteca = library literate [library-literate].
    * con conocimiento de = appreciative of, conversant with.
    * con conocimiento de causa = knowingly, knowingly.
    * con conocimiento de informática = computer literate [computer-literate].
    * con conocimiento en el uso de Internet = Internet-savvy.
    * con conocimientos en = versed in.
    * con conocimientos sobre el correo electrónico = e-mail literate.
    * con el conocimiento de que = on the understanding that.
    * conjunto de conocimientos = body of knowledge.
    * conocimiento académico = academic knowledge.
    * conocimiento acumulado sobre un tema = lore.
    * conocimiento básico = working familiarity, working knowledge.
    * conocimiento científico = scientific knowledge.
    * conocimiento compartido = knowledge sharing.
    * conocimiento de base = foundation study.
    * conocimiento de cómo sobrevivir en el bosque = woodcraft.
    * conocimiento de embarque = bill of lading.
    * conocimiento de la existencia = awareness.
    * conocimiento de lengua = language skill.
    * conocimiento del objeto = object knowledge.
    * conocimiento de los diferentes soportes = media competency.
    * conocimiento detallado = intimate knowledge.
    * conocimiento de un área temática = area knowledge.
    * conocimiento documentado = recorded knowledge.
    * conocimiento enciclopédico = factual knowledge.
    * conocimiento en tecnología = technological skill.
    * conocimiento específico = expert knowledge.
    * conocimiento experto = expert knowledge, expertise.
    * conocimiento explícito = explicit knowledge.
    * conocimiento factual = declarative knowledge.
    * conocimiento humano = human consciousness.
    * conocimiento humano, el = human record, the.
    * conocimiento indígena = indigenous knowledge.
    * conocimiento lingüístico = language skill.
    * conocimiento mutuo = mutual knowledge.
    * conocimiento pasivo = nodding acquaintance.
    * conocimiento pleno = awareness.
    * conocimiento práctico = working knowledge, procedural knowledge.
    * conocimiento previo = foreknowledge.
    * conocimientos = knowledge base [knowledge-base].
    * conocimientos básicos = literacy.
    * conocimientos básicos de búsqueda, recuperación y organización de informació = information literacy.
    * conocimientos básicos de documentación = information literacy.
    * conocimientos básicos de informática = computer literacy.
    * conocimientos básicos en tecnología = technical literacy.
    * conocimientos básicos sobre el uso de las bibliotecas = library skills.
    * conocimientos de tecnología = techno-savvy, tech-savvy.
    * conocimientos en el manejo de la información = info-savvy.
    * conocimiento sobre una materia = subject knowledge.
    * conocimientos requeridos = job specs.
    * conocimiento tácito = tacit knowledge, tacit knowledge, tacit knowledge.
    * conocimiento técnico = know-how, technical knowledge.
    * conocimiento teórico = declarative knowledge.
    * con poco conocimiento de las nuevas tecnologías = technologically challenged.
    * corpus de conocimiento = corpus of knowledge.
    * crear un fondo común de conocimientos = pool + knowledge.
    * cúmulo de conocimiento = repository of knowledge, knowledge repository.
    * decisión con conocimiento de causa = informed decision.
    * difundir el conocimiento = spread + knowledge.
    * director ejecutivo de la gestión del conocimiento = knowledge executive.
    * dominio del conocimiento = knowledge domain.
    * economía basada en el conocimiento = knowledge driven economy.
    * economía del conocimiento = knowledge economy.
    * Era del Conocimiento, la = Knowledge Age, the.
    * estructuración del conocimiento = knowledge structuring.
    * examinar los conocimientos = test + knowledge.
    * falta de conocimiento = unfamiliarity.
    * filtro del conocimiento = knowledge filter.
    * fomentar el conocimiento = advance + knowledge.
    * fondo común de conocimientos = pool of knowledge, pool of expertise.
    * frontera del conocimiento = frontier of knowledge.
    * fundamentos del conocimiento, los = foundations of knowledge, the.
    * gestión del conocimiento = knowledge management (KM).
    * gestor del conocimiento = knowledge worker, knowledge manager.
    * hacer avanzar el conocimiento = push back + the frontiers of knowledge.
    * hacer gala del conocimiento que uno tiene = air + knowledge.
    * hacer perder el conocimiento = knock + Nombre + out, knock + Nombre + unconscious.
    * hacer uso de un conocimiento = draw on/upon + knowledge.
    * impartir conocimiento = impart + knowledge.
    * inculcar conocimiento = instil + knowledge.
    * ingeniería del conocimiento = knowledge engineering.
    * ingeniero del conocimiento = knowledge engineer.
    * institucion del conocimiento = institution of learning.
    * intercambio de conocimientos = learning exchange, cross-fertilisation [cross-fertilization, -USA], cross-fertilisation of knowledge.
    * jefe de los servicios de gestión del conocimiento = chief knowledge officer (CKO).
    * metaconocimiento = meta-knowledge.
    * navegación por el conocimiento = knowledge navigation.
    * navegador del conocimiento = knowledge navigator.
    * obtener conocimiento = gain + an understanding.
    * ofrecer conocimiento = package + knowledge.
    * perder el conocimiento = lose + Posesivo + senses, pass out, lose + Posesivo + consciousness.
    * pérdida del conocimiento = unconsciousness, fainting, fainting fit, loss of consciousness.
    * personas sin conocimientos técnicos, las = non-technical, the.
    * presentar conocimiento = package + knowledge.
    * producto del conocimiento = knowledge record.
    * profundizar en el conocimiento = deepen + knowledge.
    * propagar el conocimiento = propagate + knowledge.
    * proporcionar conocimientos técnicos = supply + know-how.
    * quedarse sin conocimiento = lose + Posesivo + consciousness, pass out.
    * rama del conocimiento = branch of learning.
    * recobrar el conocimiento = regain + Posesivo + consciousness.
    * recuperar el conocimiento = regain + Posesivo + consciousness.
    * red de conocimiento = knowledge network.
    * servidor del conocimiento = knowledge server.
    * sin conocimiento = unconscious.
    * sin conocimiento de causa = unbeknown to, unbeknownst to.
    * sintetizar el conocimiento = synthesise + knowledge.
    * sistema basado en el conocimiento = knowledge-base system.
    * sistema de gestión del conocimiento = knowledge management system (KMS).
    * sociedad basada en el conocimiento = knowledge based society.
    * sociedad del conocimiento = knowledge society.
    * Sociedad para el Conocimiento Global = Global Knowledge Partnership.
    * suministrar conocimientos técnicos = supply + know-how.
    * tener conocimiento de = be privy to, be aware of.
    * toma de decisiones con conocimiento de causa = informed decision making.
    * tomar decisiones con conocimiento de causa = make + informed decisions.
    * transferencia de conocimiento = transfer of knowledge, knowledge transfer.
    * utilizar los conocimientos de Uno = put + Posesivo + knowledge to work.
    * * *
    1)
    a) ( saber) knowledge
    b) conocimientos masculino plural ( nociones) knowledge
    2) (frml) ( información)

    dar conocimiento de algo a alguien — to inform o (frml) apprise somebody of something

    pongo en su conocimiento que... — (Corresp) I am writing to inform you that...

    con conocimiento de causa: obró con conocimiento de causa (frml) he took this step, fully aware of what the consequences would be; hablo con conocimiento de causa — I know what I'm talking about

    3) ( sentido) consciousness

    perder/recobrar el conocimiento — to lose/regain consciousness

    aún es pequeño, no tiene todavía conocimiento — he's not old enough to understand

    * * *
    = cognition, competency, enlightenment, expertise, familiarisation [familiarization, -USA], familiarity, insight, knowledge, learning, acquaintance, understanding, cognisance [cognizance, -USA], connoisseurship, consciousness.

    Ex: The information-processing model of cognition, and developments in artificial intelligence encourage such comparisons = El modelo de la cognición sobre el procesamiento de la información de y los avances de la inteligencia artificial fomentan este tipo de comparaciones.

    Ex: SLIS programmes intended to 'produce' librarians with competency in the use of IT have to be designed.
    Ex: Considered as necessary work in the interest of humanity and general enlightenment, bibliography gains ground as the years pass.
    Ex: Its primary function is to provide a centre for software and hardware expertise for its members.
    Ex: Step 1 Familiarisation: This first step involves the indexer in becoming conversant with the subject content of the document to be indexed.
    Ex: The most effective searchers are those who have both system experience and some familiarity with the subject area in which they are searching.
    Ex: The human indexer works mechanically and rapidly; he should require no insight into the document content.
    Ex: These factors form the basis of the problems in identifying a satisfactory subject approach, and start to explain the vast array of different tolls used in the subject approach to knowledge.
    Ex: It is the responsibility of educators to stretch their student's intellects, hone their skills of intuitive judgment and synthesis, and build a love of learning that will sustain them beyond the level of formal education.
    Ex: It is only with accumulating experience and many years of close study and acquaintance with bibliographic works that a really substantial body of knowledge of the potential of bibliographic sources is acquired.
    Ex: We librarians ought to have a clearer understanding of our stock-in-trade (books) and their function of social mechanism.
    Ex: The passive cognisance of growth causes considerable difficulties = El conocimiento pasivo del crecimiento causa dificultades importantes.
    Ex: This book explores the underlying institutional factors that help museum-based connoisseurship and aestheticism and university-based critical theory and revisionist scholarship exist.
    Ex: For example, the latter are unlikely to engage themselves in conservation issues as these now press upon the professional consciousness of librarians.
    * actualizar los conocimientos = upgrade + Posesivo + skills.
    * adquirir conocimiento = gain + knowledge, glean + knowledge, acquire + knowledge, build up + knowledge.
    * ampliar el conocimiento = expand + Posesivo + knowledge, expand + Posesivo + knowledge, widen + knowledge, broaden + knowledge, deepen + understanding.
    * ampliar las fronteras del conocimiento = push back + the frontiers of knowledge.
    * análisis de áreas del conocimiento = domain analysis.
    * análisis de dominios del conocimiento = domain analysis.
    * aprendizaje rico en conocimiento = knowledge-rich learning.
    * área de conocimiento = area of study.
    * área del conocimiento = area of knowledge, discipline, subject field, field of activity, knowledge domain, discipline of knowledge.
    * aumentar el conocimiento = expand + Posesivo + knowledge, deepen + awareness.
    * aumento del conocimiento = knowledge building.
    * bannco de conocimiento = knowledge bank.
    * basado en el conocimiento = knowledge-based.
    * basado en las disciplinas del conocimiento = discipline-based.
    * bibliotecario con conocimientos de medicina = informationist.
    * búsqueda del conocimiento = quest for/of knowledge.
    * campo del conocimiento = field of knowledge.
    * centrado en el conocimiento = knowledge-centric.
    * ciencia del conocimiento = cognitive science.
    * compartir el conocimiento = knowledge sharing, pool + knowledge.
    * con conocimiento = authoritatively.
    * con conocimiento básico en el manejo de la información = information literate [information-literate].
    * con conocimiento básico en el uso de la biblioteca = library literate [library-literate].
    * con conocimiento de = appreciative of, conversant with.
    * con conocimiento de causa = knowingly, knowingly.
    * con conocimiento de informática = computer literate [computer-literate].
    * con conocimiento en el uso de Internet = Internet-savvy.
    * con conocimientos en = versed in.
    * con conocimientos sobre el correo electrónico = e-mail literate.
    * con el conocimiento de que = on the understanding that.
    * conjunto de conocimientos = body of knowledge.
    * conocimiento académico = academic knowledge.
    * conocimiento acumulado sobre un tema = lore.
    * conocimiento básico = working familiarity, working knowledge.
    * conocimiento científico = scientific knowledge.
    * conocimiento compartido = knowledge sharing.
    * conocimiento de base = foundation study.
    * conocimiento de cómo sobrevivir en el bosque = woodcraft.
    * conocimiento de embarque = bill of lading.
    * conocimiento de la existencia = awareness.
    * conocimiento de lengua = language skill.
    * conocimiento del objeto = object knowledge.
    * conocimiento de los diferentes soportes = media competency.
    * conocimiento detallado = intimate knowledge.
    * conocimiento de un área temática = area knowledge.
    * conocimiento documentado = recorded knowledge.
    * conocimiento enciclopédico = factual knowledge.
    * conocimiento en tecnología = technological skill.
    * conocimiento específico = expert knowledge.
    * conocimiento experto = expert knowledge, expertise.
    * conocimiento explícito = explicit knowledge.
    * conocimiento factual = declarative knowledge.
    * conocimiento humano = human consciousness.
    * conocimiento humano, el = human record, the.
    * conocimiento indígena = indigenous knowledge.
    * conocimiento lingüístico = language skill.
    * conocimiento mutuo = mutual knowledge.
    * conocimiento pasivo = nodding acquaintance.
    * conocimiento pleno = awareness.
    * conocimiento práctico = working knowledge, procedural knowledge.
    * conocimiento previo = foreknowledge.
    * conocimientos = knowledge base [knowledge-base].
    * conocimientos básicos = literacy.
    * conocimientos básicos de búsqueda, recuperación y organización de informació = information literacy.
    * conocimientos básicos de documentación = information literacy.
    * conocimientos básicos de informática = computer literacy.
    * conocimientos básicos en tecnología = technical literacy.
    * conocimientos básicos sobre el uso de las bibliotecas = library skills.
    * conocimientos de tecnología = techno-savvy, tech-savvy.
    * conocimientos en el manejo de la información = info-savvy.
    * conocimiento sobre una materia = subject knowledge.
    * conocimientos requeridos = job specs.
    * conocimiento tácito = tacit knowledge, tacit knowledge, tacit knowledge.
    * conocimiento técnico = know-how, technical knowledge.
    * conocimiento teórico = declarative knowledge.
    * con poco conocimiento de las nuevas tecnologías = technologically challenged.
    * corpus de conocimiento = corpus of knowledge.
    * crear un fondo común de conocimientos = pool + knowledge.
    * cúmulo de conocimiento = repository of knowledge, knowledge repository.
    * decisión con conocimiento de causa = informed decision.
    * difundir el conocimiento = spread + knowledge.
    * director ejecutivo de la gestión del conocimiento = knowledge executive.
    * dominio del conocimiento = knowledge domain.
    * economía basada en el conocimiento = knowledge driven economy.
    * economía del conocimiento = knowledge economy.
    * Era del Conocimiento, la = Knowledge Age, the.
    * estructuración del conocimiento = knowledge structuring.
    * examinar los conocimientos = test + knowledge.
    * falta de conocimiento = unfamiliarity.
    * filtro del conocimiento = knowledge filter.
    * fomentar el conocimiento = advance + knowledge.
    * fondo común de conocimientos = pool of knowledge, pool of expertise.
    * frontera del conocimiento = frontier of knowledge.
    * fundamentos del conocimiento, los = foundations of knowledge, the.
    * gestión del conocimiento = knowledge management (KM).
    * gestor del conocimiento = knowledge worker, knowledge manager.
    * hacer avanzar el conocimiento = push back + the frontiers of knowledge.
    * hacer gala del conocimiento que uno tiene = air + knowledge.
    * hacer perder el conocimiento = knock + Nombre + out, knock + Nombre + unconscious.
    * hacer uso de un conocimiento = draw on/upon + knowledge.
    * impartir conocimiento = impart + knowledge.
    * inculcar conocimiento = instil + knowledge.
    * ingeniería del conocimiento = knowledge engineering.
    * ingeniero del conocimiento = knowledge engineer.
    * institucion del conocimiento = institution of learning.
    * intercambio de conocimientos = learning exchange, cross-fertilisation [cross-fertilization, -USA], cross-fertilisation of knowledge.
    * jefe de los servicios de gestión del conocimiento = chief knowledge officer (CKO).
    * metaconocimiento = meta-knowledge.
    * navegación por el conocimiento = knowledge navigation.
    * navegador del conocimiento = knowledge navigator.
    * obtener conocimiento = gain + an understanding.
    * ofrecer conocimiento = package + knowledge.
    * perder el conocimiento = lose + Posesivo + senses, pass out, lose + Posesivo + consciousness.
    * pérdida del conocimiento = unconsciousness, fainting, fainting fit, loss of consciousness.
    * personas sin conocimientos técnicos, las = non-technical, the.
    * presentar conocimiento = package + knowledge.
    * producto del conocimiento = knowledge record.
    * profundizar en el conocimiento = deepen + knowledge.
    * propagar el conocimiento = propagate + knowledge.
    * proporcionar conocimientos técnicos = supply + know-how.
    * quedarse sin conocimiento = lose + Posesivo + consciousness, pass out.
    * rama del conocimiento = branch of learning.
    * recobrar el conocimiento = regain + Posesivo + consciousness.
    * recuperar el conocimiento = regain + Posesivo + consciousness.
    * red de conocimiento = knowledge network.
    * servidor del conocimiento = knowledge server.
    * sin conocimiento = unconscious.
    * sin conocimiento de causa = unbeknown to, unbeknownst to.
    * sintetizar el conocimiento = synthesise + knowledge.
    * sistema basado en el conocimiento = knowledge-base system.
    * sistema de gestión del conocimiento = knowledge management system (KMS).
    * sociedad basada en el conocimiento = knowledge based society.
    * sociedad del conocimiento = knowledge society.
    * Sociedad para el Conocimiento Global = Global Knowledge Partnership.
    * suministrar conocimientos técnicos = supply + know-how.
    * tener conocimiento de = be privy to, be aware of.
    * toma de decisiones con conocimiento de causa = informed decision making.
    * tomar decisiones con conocimiento de causa = make + informed decisions.
    * transferencia de conocimiento = transfer of knowledge, knowledge transfer.
    * utilizar los conocimientos de Uno = put + Posesivo + knowledge to work.

    * * *
    A
    1 (saber) knowledge
    tiene algunos conocimientos de inglés he has some knowledge of English, he knows some English
    B ( frml)
    (información): dio conocimiento del suceso a las autoridades he informed o ( frml) apprised the authorities of the incident
    puso el hecho en conocimiento de la policía she informed the police of the incident, she reported the incident to the police
    pongo en su conocimiento que … ( Corresp) I am writing to inform you that …
    al tener conocimiento del suceso upon learning of the incident ( frml)
    a esas horas no se tenía todavía conocimiento de la noticia at that time we/they still had not heard the news
    ciertas personas tienen conocimiento de sus actividades certain people are aware of her activities
    llegar a conocimiento de algn to come to sb's attention o notice ( frml)
    con conocimiento de causa: obró con conocimiento de causa ( frml); he took this step, fully aware of what the consequences would be
    te lo digo con conocimiento de causa I know what I'm talking about
    Compuesto:
    bill of lading, waybill
    C (sentido) consciousness
    perder el conocimiento to lose consciousness
    cuando recobró el conocimiento when he regained consciousness, when he came to o round
    estar sin conocimiento to be unconscious
    D
    (entendimiento): aún es pequeño, no tiene todavía conocimiento he's not old enough to understand
    * * *

     

    conocimiento sustantivo masculino


    poner algo en conocimiento de algn to inform sb of sth;
    tener conocimiento de algo to be aware of sth

    ◊ perder/recobrar el conocimiento to lose/regain consciousness;

    estar sin conocimiento to be unconscious
    conocimiento sustantivo masculino
    1 knowledge
    2 (conciencia) consciousness
    3 conocimientos, knowledge
    ♦ Locuciones: perder/recobrar el conocimiento, to lose/regain consciousness
    con conocimiento de causa, with full knowledge of the facts
    ' conocimiento' also found in these entries:
    Spanish:
    braga
    - ciencia
    - conciencia
    - desfallecer
    - desvanecerse
    - dominio
    - error
    - orientación
    - parcela
    - revelar
    - sentida
    - sentido
    - experiencia
    - perder
    - pérdida
    - reanimar
    - recobrar
    - saber
    English:
    acquaintance
    - air
    - black out
    - blackout
    - cognizance
    - come to
    - comprehensive
    - consciousness
    - familiarity
    - grounding
    - improve
    - knock out
    - knowledge
    - notice
    - privy
    - recover
    - self-awareness
    - sketchy
    - superficial
    - thorough
    - unconsciousness
    - black
    - knock
    - know
    - pass
    * * *
    1. [saber] knowledge;
    hablar/actuar con conocimiento de causa to know what one is talking about/doing;
    puso el robo en conocimiento de la policía she informed the police of the burglary;
    ponemos en su conocimiento que se ha detectado un error en el programa this is to inform you that an error has been detected in the program;
    no teníamos conocimiento de su dimisión we were not aware that he had resigned;
    al tener conocimiento del accidente, acudió inmediatamente al hospital when she found out about the accident she immediately went to the hospital;
    ha llegado a mi conocimiento que estás insatisfecho it has come to my attention that you are not happy
    2.
    conocimientos [nociones] knowledge;
    tengo algunos conocimientos de informática I have some knowledge of computers, I know a bit about computers;
    nuestros conocimientos acerca de la enfermedad son muy limitados our knowledge of the disease is very limited, we know very little about the disease
    3. [sentido, conciencia] consciousness;
    perder el conocimiento to lose consciousness;
    recobrar el conocimiento to regain consciousness;
    estaba tumbado en el suelo, sin conocimiento he was lying unconscious on the floor
    4. [juicio] (common) sense;
    5. Com conocimiento de embarque bill of lading
    * * *
    m
    1 knowledge;
    con conocimiento de causa hacer algo fully aware of the consequences;
    para su conocimiento for your information;
    conocimientos pl ( nociones) knowledge sg
    2 MED consciousness;
    perder el conocimiento lose consciousness;
    sin conocimiento unconscious;
    recobrar el conocimiento regain consciousness
    * * *
    1) : knowledge
    2) sentido: consciousness
    * * *
    1. (en general) knowledge
    2. (sentido) consciousness

    Spanish-English dictionary > conocimiento

  • 2 Bibliography

     ■ Aitchison, J. (1987). Noam Chomsky: Consensus and controversy. New York: Falmer Press.
     ■ Anderson, J. R. (1980). Cognitive psychology and its implications. San Francisco: W. H. Freeman.
     ■ Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.
     ■ Anderson, J. R. (1995). Cognitive psychology and its implications (4th ed.). New York: W. H. Freeman.
     ■ Archilochus (1971). In M. L. West (Ed.), Iambi et elegi graeci (Vol. 1). Oxford: Oxford University Press.
     ■ Armstrong, D. M. (1990). The causal theory of the mind. In W. G. Lycan (Ed.), Mind and cognition: A reader (pp. 37-47). Cambridge, MA: Basil Blackwell. (Originally published in 1981 in The nature of mind and other essays, Ithaca, NY: University Press).
     ■ Atkins, P. W. (1992). Creation revisited. Oxford: W. H. Freeman & Company.
     ■ Austin, J. L. (1962). How to do things with words. Cambridge, MA: Harvard University Press.
     ■ Bacon, F. (1878). Of the proficience and advancement of learning divine and human. In The works of Francis Bacon (Vol. 1). Cambridge, MA: Hurd & Houghton.
     ■ Bacon, R. (1928). Opus majus (Vol. 2). R. B. Burke (Trans.). Philadelphia, PA: University of Pennsylvania Press.
     ■ Bar-Hillel, Y. (1960). The present status of automatic translation of languages. In F. L. Alt (Ed.), Advances in computers (Vol. 1). New York: Academic Press.
     ■ Barr, A., & E. A. Feigenbaum (Eds.) (1981). The handbook of artificial intelligence (Vol. 1). Reading, MA: Addison-Wesley.
     ■ Barr, A., & E. A. Feigenbaum (Eds.) (1982). The handbook of artificial intelligence (Vol. 2). Los Altos, CA: William Kaufman.
     ■ Barron, F. X. (1963). The needs for order and for disorder as motives in creative activity. In C. W. Taylor & F. X. Barron (Eds.), Scientific creativity: Its rec ognition and development (pp. 153-160). New York: Wiley.
     ■ Bartlett, F. C. (1932). Remembering: A study in experimental and social psychology. Cambridge: Cambridge University Press.
     ■ Bartley, S. H. (1969). Principles of perception. London: Harper & Row.
     ■ Barzun, J. (1959). The house of intellect. New York: Harper & Row.
     ■ Beach, F. A., D. O. Hebb, C. T. Morgan & H. W. Nissen (Eds.) (1960). The neu ropsychology of Lashley. New York: McGraw-Hill.
     ■ Berkeley, G. (1996). Principles of human knowledge: Three Dialogues. Oxford: Oxford University Press. (Originally published in 1710.)
     ■ Berlin, I. (1953). The hedgehog and the fox: An essay on Tolstoy's view of history. NY: Simon & Schuster.
     ■ Bierwisch, J. (1970). Semantics. In J. Lyons (Ed.), New horizons in linguistics. Baltimore: Penguin Books.
     ■ Black, H. C. (1951). Black's law dictionary. St. Paul, MN: West Publishing.
     ■ Bobrow, D. G., & D. A. Norman (1975). Some principles of memory schemata. In D. G. Bobrow & A. Collins (Eds.), Representation and understanding: Stud ies in Cognitive Science (pp. 131-149). New York: Academic Press.
     ■ Boden, M. A. (1977). Artificial intelligence and natural man. New York: Basic Books.
     ■ Boden, M. A. (1981). Minds and mechanisms. Ithaca, NY: Cornell University Press.
     ■ Boden, M. A. (1990a). The creative mind: Myths and mechanisms. London: Cardinal.
     ■ Boden, M. A. (1990b). The philosophy of artificial intelligence. Oxford: Oxford University Press.
     ■ Boden, M. A. (1994). Precis of The creative mind: Myths and mechanisms. Behavioral and brain sciences 17, 519-570.
     ■ Boden, M. (1996). Creativity. In M. Boden (Ed.), Artificial Intelligence (2nd ed.). San Diego: Academic Press.
     ■ Bolter, J. D. (1984). Turing's man: Western culture in the computer age. Chapel Hill, NC: University of North Carolina Press.
     ■ Bolton, N. (1972). The psychology of thinking. London: Methuen.
     ■ Bourne, L. E. (1973). Some forms of cognition: A critical analysis of several papers. In R. Solso (Ed.), Contemporary issues in cognitive psychology (pp. 313324). Loyola Symposium on Cognitive Psychology (Chicago 1972). Washington, DC: Winston.
     ■ Bransford, J. D., N. S. McCarrell, J. J. Franks & K. E. Nitsch (1977). Toward unexplaining memory. In R. Shaw & J. D. Bransford (Eds.), Perceiving, acting, and knowing (pp. 431-466). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Breger, L. (1981). Freud's unfinished journey. London: Routledge & Kegan Paul.
     ■ Brehmer, B. (1986). In one word: Not from experience. In H. R. Arkes & K. Hammond (Eds.), Judgment and decision making: An interdisciplinary reader (pp. 705-719). Cambridge: Cambridge University Press.
     ■ Bresnan, J. (1978). A realistic transformational grammar. In M. Halle, J. Bresnan & G. A. Miller (Eds.), Linguistic theory and psychological reality (pp. 1-59). Cambridge, MA: MIT Press.
     ■ Brislin, R. W., W. J. Lonner & R. M. Thorndike (Eds.) (1973). Cross- cultural research methods. New York: Wiley.
     ■ Bronowski, J. (1977). A sense of the future: Essays in natural philosophy. P. E. Ariotti with R. Bronowski (Eds.). Cambridge, MA: MIT Press.
     ■ Bronowski, J. (1978). The origins of knowledge and imagination. New Haven, CT: Yale University Press.
     ■ Brown, R. O. (1973). A first language: The early stages. Cambridge, MA: Harvard University Press.
     ■ Brown, T. (1970). Lectures on the philosophy of the human mind. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 330-387). New York: Random House/Modern Library.
     ■ Bruner, J. S., J. Goodnow & G. Austin (1956). A study of thinking. New York: Wiley.
     ■ Campbell, J. (1982). Grammatical man: Information, entropy, language, and life. New York: Simon & Schuster.
     ■ Campbell, J. (1989). The improbable machine. New York: Simon & Schuster.
     ■ Carlyle, T. (1966). On heroes, hero- worship and the heroic in history. Lincoln: University of Nebraska Press. (Originally published in 1841.)
     ■ Carnap, R. (1959). The elimination of metaphysics through logical analysis of language [Ueberwindung der Metaphysik durch logische Analyse der Sprache]. In A. J. Ayer (Ed.), Logical positivism (pp. 60-81) A. Pap (Trans). New York: Free Press. (Originally published in 1932.)
     ■ Cassirer, E. (1946). Language and myth. New York: Harper and Brothers. Reprinted. New York: Dover Publications, 1953.
     ■ Cattell, R. B., & H. J. Butcher (1970). Creativity and personality. In P. E. Vernon (Ed.), Creativity. Harmondsworth, England: Penguin Books.
     ■ Caudill, M., & C. Butler (1990). Naturally intelligent systems. Cambridge, MA: MIT Press/Bradford Books.
     ■ Chandrasekaran, B. (1990). What kind of information processing is intelligence? A perspective on AI paradigms and a proposal. In D. Partridge & R. Wilks (Eds.), The foundations of artificial intelligence: A sourcebook (pp. 14-46). Cambridge: Cambridge University Press.
     ■ Charniak, E., & McDermott, D. (1985). Introduction to artificial intelligence. Reading, MA: Addison-Wesley.
     ■ Chase, W. G., & H. A. Simon (1988). The mind's eye in chess. In A. Collins & E. E. Smith (Eds.), Readings in cognitive science: A perspective from psychology and artificial intelligence (pp. 461-493). San Mateo, CA: Kaufmann.
     ■ Cheney, D. L., & R. M. Seyfarth (1990). How monkeys see the world: Inside the mind of another species. Chicago: University of Chicago Press.
     ■ Chi, M.T.H., R. Glaser & E. Rees (1982). Expertise in problem solving. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (pp. 7-73). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Chomsky, N. (1957). Syntactic structures. The Hague: Mouton. Janua Linguarum.
     ■ Chomsky, N. (1964). A transformational approach to syntax. In J. A. Fodor & J. J. Katz (Eds.), The structure of language: Readings in the philosophy of lan guage (pp. 211-245). Englewood Cliffs, NJ: Prentice-Hall.
     ■ Chomsky, N. (1965). Aspects of the theory of syntax. Cambridge, MA: MIT Press.
     ■ Chomsky, N. (1972). Language and mind (enlarged ed.). New York: Harcourt Brace Jovanovich.
     ■ Chomsky, N. (1979). Language and responsibility. New York: Pantheon.
     ■ Chomsky, N. (1986). Knowledge of language: Its nature, origin and use. New York: Praeger Special Studies.
     ■ Churchland, P. (1979). Scientific realism and the plasticity of mind. New York: Cambridge University Press.
     ■ Churchland, P. M. (1989). A neurocomputational perspective: The nature of mind and the structure of science. Cambridge, MA: MIT Press.
     ■ Churchland, P. S. (1986). Neurophilosophy. Cambridge, MA: MIT Press/Bradford Books.
     ■ Clark, A. (1996). Philosophical Foundations. In M. A. Boden (Ed.), Artificial in telligence (2nd ed.). San Diego: Academic Press.
     ■ Clark, H. H., & T. B. Carlson (1981). Context for comprehension. In J. Long & A. Baddeley (Eds.), Attention and performance (Vol. 9, pp. 313-330). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Clarke, A. C. (1984). Profiles of the future: An inquiry into the limits of the possible. New York: Holt, Rinehart & Winston.
     ■ Claxton, G. (1980). Cognitive psychology: A suitable case for what sort of treatment? In G. Claxton (Ed.), Cognitive psychology: New directions (pp. 1-25). London: Routledge & Kegan Paul.
     ■ Code, M. (1985). Order and organism. Albany, NY: State University of New York Press.
     ■ Collingwood, R. G. (1972). The idea of history. New York: Oxford University Press.
     ■ Coopersmith, S. (1967). The antecedents of self- esteem. San Francisco: W. H. Freeman.
     ■ Copland, A. (1952). Music and imagination. London: Oxford University Press.
     ■ Coren, S. (1994). The intelligence of dogs. New York: Bantam Books.
     ■ Cottingham, J. (Ed.) (1996). Western philosophy: An anthology. Oxford: Blackwell Publishers.
     ■ Cox, C. (1926). The early mental traits of three hundred geniuses. Stanford, CA: Stanford University Press.
     ■ Craik, K.J.W. (1943). The nature of explanation. Cambridge: Cambridge University Press.
     ■ Cronbach, L. J. (1990). Essentials of psychological testing (5th ed.). New York: HarperCollins.
     ■ Cronbach, L. J., & R. E. Snow (1977). Aptitudes and instructional methods. New York: Irvington. Paperback edition, 1981.
     ■ Csikszentmihalyi, M. (1993). The evolving self. New York: Harper Perennial.
     ■ Culler, J. (1976). Ferdinand de Saussure. New York: Penguin Books.
     ■ Curtius, E. R. (1973). European literature and the Latin Middle Ages. W. R. Trask (Trans.). Princeton, NJ: Princeton University Press.
     ■ D'Alembert, J.L.R. (1963). Preliminary discourse to the encyclopedia of Diderot. R. N. Schwab (Trans.). Indianapolis: Bobbs-Merrill.
     ■ Damasio, A. (1994). Descartes' error: Emotion, reason, and the human brain. New York: Avon.
     ■ Dampier, W. C. (1966). A history of modern science. Cambridge: Cambridge University Press.
     ■ Darwin, C. (1911). The life and letters of Charles Darwin (Vol. 1). Francis Darwin (Ed.). New York: Appleton.
     ■ Davidson, D. (1970) Mental events. In L. Foster & J. W. Swanson (Eds.), Experience and theory (pp. 79-101). Amherst: University of Massachussetts Press.
     ■ Davies, P. (1995). About time: Einstein's unfinished revolution. New York: Simon & Schuster/Touchstone.
     ■ Davis, R., & J. J. King (1977). An overview of production systems. In E. Elcock & D. Michie (Eds.), Machine intelligence 8. Chichester, England: Ellis Horwood.
     ■ Davis, R., & D. B. Lenat (1982). Knowledge- based systems in artificial intelligence. New York: McGraw-Hill.
     ■ Dawkins, R. (1982). The extended phenotype: The gene as the unit of selection. Oxford: W. H. Freeman.
     ■ deKleer, J., & J. S. Brown (1983). Assumptions and ambiguities in mechanistic mental models (1983). In D. Gentner & A. L. Stevens (Eds.), Mental modes (pp. 155-190). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Dennett, D. C. (1978a). Brainstorms: Philosophical essays on mind and psychology. Montgomery, VT: Bradford Books.
     ■ Dennett, D. C. (1978b). Toward a cognitive theory of consciousness. In D. C. Dennett, Brainstorms: Philosophical Essays on Mind and Psychology. Montgomery, VT: Bradford Books.
     ■ Dennett, D. C. (1995). Darwin's dangerous idea: Evolution and the meanings of life. New York: Simon & Schuster/Touchstone.
     ■ Descartes, R. (1897-1910). Traite de l'homme. In Oeuvres de Descartes (Vol. 11, pp. 119-215). Paris: Charles Adam & Paul Tannery. (Originally published in 1634.)
     ■ Descartes, R. (1950). Discourse on method. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1637.)
     ■ Descartes, R. (1951). Meditation on first philosophy. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1641.)
     ■ Descartes, R. (1955). The philosophical works of Descartes. E. S. Haldane and G.R.T. Ross (Trans.). New York: Dover. (Originally published in 1911 by Cambridge University Press.)
     ■ Descartes, R. (1967). Discourse on method (Pt. V). In E. S. Haldane and G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 106-118). Cambridge: Cambridge University Press. (Originally published in 1637.)
     ■ Descartes, R. (1970a). Discourse on method. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 181-200). Cambridge: Cambridge University Press. (Originally published in 1637.)
     ■ Descartes, R. (1970b). Principles of philosophy. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 178-291). Cambridge: Cambridge University Press. (Originally published in 1644.)
     ■ Descartes, R. (1984). Meditations on first philosophy. In J. Cottingham, R. Stoothoff & D. Murduch (Trans.), The philosophical works of Descartes (Vol. 2). Cambridge: Cambridge University Press. (Originally published in 1641.)
     ■ Descartes, R. (1986). Meditations on first philosophy. J. Cottingham (Trans.). Cambridge: Cambridge University Press. (Originally published in 1641 as Med itationes de prima philosophia.)
     ■ deWulf, M. (1956). An introduction to scholastic philosophy. Mineola, NY: Dover Books.
     ■ Dixon, N. F. (1981). Preconscious processing. London: Wiley.
     ■ Doyle, A. C. (1986). The Boscombe Valley mystery. In Sherlock Holmes: The com plete novels and stories (Vol. 1). New York: Bantam.
     ■ Dreyfus, H., & S. Dreyfus (1986). Mind over machine. New York: Free Press.
     ■ Dreyfus, H. L. (1972). What computers can't do: The limits of artificial intelligence (revised ed.). New York: Harper & Row.
     ■ Dreyfus, H. L., & S. E. Dreyfus (1986). Mind over machine: The power of human intuition and expertise in the era of the computer. New York: Free Press.
     ■ Edelman, G. M. (1992). Bright air, brilliant fire: On the matter of the mind. New York: Basic Books.
     ■ Ehrenzweig, A. (1967). The hidden order of art. London: Weidenfeld & Nicolson.
     ■ Einstein, A., & L. Infeld (1938). The evolution of physics. New York: Simon & Schuster.
     ■ Eisenstein, S. (1947). Film sense. New York: Harcourt, Brace & World.
     ■ Everdell, W. R. (1997). The first moderns. Chicago: University of Chicago Press.
     ■ Eysenck, M. W. (1977). Human memory: Theory, research and individual difference. Oxford: Pergamon.
     ■ Eysenck, M. W. (1982). Attention and arousal: Cognition and performance. Berlin: Springer.
     ■ Eysenck, M. W. (1984). A handbook of cognitive psychology. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Fancher, R. E. (1979). Pioneers of psychology. New York: W. W. Norton.
     ■ Farrell, B. A. (1981). The standing of psychoanalysis. New York: Oxford University Press.
     ■ Feldman, D. H. (1980). Beyond universals in cognitive development. Norwood, NJ: Ablex.
     ■ Fetzer, J. H. (1996). Philosophy and cognitive science (2nd ed.). New York: Paragon House.
     ■ Finke, R. A. (1990). Creative imagery: Discoveries and inventions in visualization. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Flanagan, O. (1991). The science of the mind. Cambridge MA: MIT Press/Bradford Books.
     ■ Fodor, J. (1983). The modularity of mind. Cambridge, MA: MIT Press/Bradford Books.
     ■ Frege, G. (1972). Conceptual notation. T. W. Bynum (Trans.). Oxford: Clarendon Press. (Originally published in 1879.)
     ■ Frege, G. (1979). Logic. In H. Hermes, F. Kambartel & F. Kaulbach (Eds.), Gottlob Frege: Posthumous writings. Chicago: University of Chicago Press. (Originally published in 1879-1891.)
     ■ Freud, S. (1959). Creative writers and day-dreaming. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 9, pp. 143-153). London: Hogarth Press.
     ■ Freud, S. (1966). Project for a scientific psychology. In J. Strachey (Ed.), The stan dard edition of the complete psychological works of Sigmund Freud (Vol. 1, pp. 295-398). London: Hogarth Press. (Originally published in 1950 as Aus den AnfaЁngen der Psychoanalyse, in London by Imago Publishing.)
     ■ Freud, S. (1976). Lecture 18-Fixation to traumas-the unconscious. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 16, p. 285). London: Hogarth Press.
     ■ Galileo, G. (1990). Il saggiatore [The assayer]. In S. Drake (Ed.), Discoveries and opinions of Galileo. New York: Anchor Books. (Originally published in 1623.)
     ■ Gassendi, P. (1970). Letter to Descartes. In "Objections and replies." In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 2, pp. 179-240). Cambridge: Cambridge University Press. (Originally published in 1641.)
     ■ Gazzaniga, M. S. (1988). Mind matters: How mind and brain interact to create our conscious lives. Boston: Houghton Mifflin in association with MIT Press/Bradford Books.
     ■ Genesereth, M. R., & N. J. Nilsson (1987). Logical foundations of artificial intelligence. Palo Alto, CA: Morgan Kaufmann.
     ■ Ghiselin, B. (1952). The creative process. New York: Mentor.
     ■ Ghiselin, B. (1985). The creative process. Berkeley, CA: University of California Press. (Originally published in 1952.)
     ■ Gilhooly, K. J. (1996). Thinking: Directed, undirected and creative (3rd ed.). London: Academic Press.
     ■ Glass, A. L., K. J. Holyoak & J. L. Santa (1979). Cognition. Reading, MA: AddisonWesley.
     ■ Goody, J. (1977). The domestication of the savage mind. Cambridge: Cambridge University Press.
     ■ Gruber, H. E. (1980). Darwin on man: A psychological study of scientific creativity (2nd ed.). Chicago: University of Chicago Press.
     ■ Gruber, H. E., & S. Davis (1988). Inching our way up Mount Olympus: The evolving systems approach to creative thinking. In R. J. Sternberg (Ed.), The nature of creativity: Contemporary psychological perspectives. Cambridge: Cambridge University Press.
     ■ Guthrie, E. R. (1972). The psychology of learning. New York: Harper. (Originally published in 1935.)
     ■ Habermas, J. (1972). Knowledge and human interests. Boston: Beacon Press.
     ■ Hadamard, J. (1945). The psychology of invention in the mathematical field. Princeton, NJ: Princeton University Press.
     ■ Hand, D. J. (1985). Artificial intelligence and psychiatry. Cambridge: Cambridge University Press.
     ■ Harris, M. (1981). The language myth. London: Duckworth.
     ■ Haugeland, J. (Ed.) (1981). Mind design: Philosophy, psychology, artificial intelligence. Cambridge, MA: MIT Press/Bradford Books.
     ■ Haugeland, J. (1981a). The nature and plausibility of cognitivism. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 243-281). Cambridge, MA: MIT Press.
     ■ Haugeland, J. (1981b). Semantic engines: An introduction to mind design. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 1-34). Cambridge, MA: MIT Press/Bradford Books.
     ■ Haugeland, J. (1985). Artificial intelligence: The very idea. Cambridge, MA: MIT Press.
     ■ Hawkes, T. (1977). Structuralism and semiotics. Berkeley: University of California Press.
     ■ Hebb, D. O. (1949). The organisation of behaviour. New York: Wiley.
     ■ Hebb, D. O. (1958). A textbook of psychology. Philadelphia: Saunders.
     ■ Hegel, G.W.F. (1910). The phenomenology of mind. J. B. Baille (Trans.). London: Sonnenschein. (Originally published as Phaenomenologie des Geistes, 1807.)
     ■ Heisenberg, W. (1958). Physics and philosophy. New York: Harper & Row.
     ■ Hempel, C. G. (1966). Philosophy of natural science. Englewood Cliffs, NJ: PrenticeHall.
     ■ Herman, A. (1997). The idea of decline in Western history. New York: Free Press.
     ■ Herrnstein, R. J., & E. G. Boring (Eds.) (1965). A source book in the history of psy chology. Cambridge, MA: Harvard University Press.
     ■ Herzmann, E. (1964). Mozart's creative process. In P. H. Lang (Ed.), The creative world of Mozart (pp. 17-30). London: Oldbourne Press.
     ■ Hilgard, E. R. (1957). Introduction to psychology. London: Methuen.
     ■ Hobbes, T. (1651). Leviathan. London: Crooke.
     ■ Hofstadter, D. R. (1979). Goedel, Escher, Bach: An eternal golden braid. New York: Basic Books.
     ■ Holliday, S. G., & M. J. Chandler (1986). Wisdom: Explorations in adult competence. Basel, Switzerland: Karger.
     ■ Horn, J. L. (1986). In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 3). Hillsdale, NJ: Erlbaum.
     ■ Hull, C. (1943). Principles of behavior. New York: Appleton-Century-Crofts.
     ■ Hume, D. (1955). An inquiry concerning human understanding. New York: Liberal Arts Press. (Originally published in 1748.)
     ■ Hume, D. (1975). An enquiry concerning human understanding. In L. A. SelbyBigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (Spelling and punctuation revised.) (Originally published in 1748.)
     ■ Hume, D. (1978). A treatise of human nature. L. A. Selby-Bigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (With some modifications of spelling and punctuation.) (Originally published in 1690.)
     ■ Hunt, E. (1973). The memory we must have. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language. (pp. 343-371) San Francisco: W. H. Freeman.
     ■ Husserl, E. (1960). Cartesian meditations. The Hague: Martinus Nijhoff.
     ■ Inhelder, B., & J. Piaget (1958). The growth of logical thinking from childhood to adolescence. New York: Basic Books. (Originally published in 1955 as De la logique de l'enfant a` la logique de l'adolescent. [Paris: Presses Universitaire de France])
     ■ James, W. (1890a). The principles of psychology (Vol. 1). New York: Dover Books.
     ■ James, W. (1890b). The principles of psychology. New York: Henry Holt.
     ■ Jevons, W. S. (1900). The principles of science (2nd ed.). London: Macmillan.
     ■ Johnson, G. (1986). Machinery of the mind: Inside the new science of artificial intelli gence. New York: Random House.
     ■ Johnson, M. L. (1988). Mind, language, machine. New York: St. Martin's Press.
     ■ Johnson-Laird, P. N. (1983). Mental models: Toward a cognitive science of language, inference, and consciousness. Cambridge, MA: Harvard University Press.
     ■ Johnson-Laird, P. N. (1988). The computer and the mind: An introduction to cognitive science. Cambridge, MA: Harvard University Press.
     ■ Jones, E. (1961). The life and work of Sigmund Freud. L. Trilling & S. Marcus (Eds.). London: Hogarth.
     ■ Jones, R. V. (1985). Complementarity as a way of life. In A. P. French & P. J. Kennedy (Eds.), Niels Bohr: A centenary volume. Cambridge, MA: Harvard University Press.
     ■ Kant, I. (1933). Critique of Pure Reason (2nd ed.). N. K. Smith (Trans.). London: Macmillan. (Originally published in 1781 as Kritik der reinen Vernunft.)
     ■ Kant, I. (1891). Solution of the general problems of the Prolegomena. In E. Belfort (Trans.), Kant's Prolegomena. London: Bell. (With minor modifications.) (Originally published in 1783.)
     ■ Katona, G. (1940). Organizing and memorizing: Studies in the psychology of learning and teaching. New York: Columbia University Press.
     ■ Kaufman, A. S. (1979). Intelligent testing with the WISC-R. New York: Wiley.
     ■ Koestler, A. (1964). The act of creation. New York: Arkana (Penguin).
     ■ Kohlberg, L. (1971). From is to ought. In T. Mischel (Ed.), Cognitive development and epistemology. (pp. 151-235) New York: Academic Press.
     ■ KoЁhler, W. (1925). The mentality of apes. New York: Liveright.
     ■ KoЁhler, W. (1927). The mentality of apes (2nd ed.). Ella Winter (Trans.). London: Routledge & Kegan Paul.
     ■ KoЁhler, W. (1930). Gestalt psychology. London: G. Bell.
     ■ KoЁhler, W. (1947). Gestalt psychology. New York: Liveright.
     ■ KoЁhler, W. (1969). The task of Gestalt psychology. Princeton, NJ: Princeton University Press.
     ■ Kuhn, T. (1970). The structure of scientific revolutions (2nd ed.). Chicago: University of Chicago Press.
     ■ Langer, E. J. (1989). Mindfulness. Reading, MA: Addison-Wesley.
     ■ Langer, S. (1962). Philosophical sketches. Baltimore: Johns Hopkins University Press.
     ■ Langley, P., H. A. Simon, G. L. Bradshaw & J. M. Zytkow (1987). Scientific dis covery: Computational explorations of the creative process. Cambridge, MA: MIT Press.
     ■ Lashley, K. S. (1951). The problem of serial order in behavior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior, the Hixon Symposium (pp. 112-146) New York: Wiley.
     ■ LeDoux, J. E., & W. Hirst (1986). Mind and brain: Dialogues in cognitive neuroscience. Cambridge: Cambridge University Press.
     ■ Lehnert, W. (1978). The process of question answering. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Leiber, J. (1991). Invitation to cognitive science. Oxford: Blackwell.
     ■ Lenat, D. B., & G. Harris (1978). Designing a rule system that searches for scientific discoveries. In D. A. Waterman & F. Hayes-Roth (Eds.), Pattern directed inference systems (pp. 25-52) New York: Academic Press.
     ■ Levenson, T. (1995). Measure for measure: A musical history of science. New York: Touchstone. (Originally published in 1994.)
     ■ Leґvi-Strauss, C. (1963). Structural anthropology. C. Jacobson & B. Grundfest Schoepf (Trans.). New York: Basic Books. (Originally published in 1958.)
     ■ Levine, M. W., & J. M. Schefner (1981). Fundamentals of sensation and perception. London: Addison-Wesley.
     ■ Lewis, C. I. (1946). An analysis of knowledge and valuation. LaSalle, IL: Open Court.
     ■ Lighthill, J. (1972). A report on artificial intelligence. Unpublished manuscript, Science Research Council.
     ■ Lipman, M., A. M. Sharp & F. S. Oscanyan (1980). Philosophy in the classroom. Philadelphia: Temple University Press.
     ■ Lippmann, W. (1965). Public opinion. New York: Free Press. (Originally published in 1922.)
     ■ Locke, J. (1956). An essay concerning human understanding. Chicago: Henry Regnery Co. (Originally published in 1690.)
     ■ Locke, J. (1975). An essay concerning human understanding. P. H. Nidditch (Ed.). Oxford: Clarendon. (Originally published in 1690.) (With spelling and punctuation modernized and some minor modifications of phrasing.)
     ■ Lopate, P. (1994). The art of the personal essay. New York: Doubleday/Anchor Books.
     ■ Lorimer, F. (1929). The growth of reason. London: Kegan Paul. Machlup, F., & U. Mansfield (Eds.) (1983). The study of information. New York: Wiley.
     ■ Manguel, A. (1996). A history of reading. New York: Viking.
     ■ Margolis, H. (1987). Patterns, thinking, and cognition. Chicago: University of Chicago Press.
     ■ Markey, J. F. (1928). The symbolic process. London: Kegan Paul.
     ■ Martin, R. M. (1969). On Ziff's "Natural and formal languages." In S. Hook (Ed.), Language and philosophy: A symposium (pp. 249-263). New York: New York University Press.
     ■ Mazlish, B. (1993). The fourth discontinuity: the co- evolution of humans and machines. New Haven, CT: Yale University Press.
     ■ McCarthy, J., & P. J. Hayes (1969). Some philosophical problems from the standpoint of artificial intelligence. In B. Meltzer & D. Michie (Eds.), Machine intelligence 4. Edinburgh: Edinburgh University Press.
     ■ McClelland, J. L., D. E. Rumelhart & G. E. Hinton (1986). The appeal of parallel distributed processing. In D. E. Rumelhart, J. L. McClelland & the PDP Research Group (Eds.), Parallel distributed processing: Explorations in the mi crostructure of cognition (Vol. 1, pp. 3-40). Cambridge, MA: MIT Press/ Bradford Books.
     ■ McCorduck, P. (1979). Machines who think. San Francisco: W. H. Freeman.
     ■ McLaughlin, T. (1970). Music and communication. London: Faber & Faber.
     ■ Mednick, S. A. (1962). The associative basis of the creative process. Psychological Review 69, 431-436.
     ■ Meehl, P. E., & C. J. Golden (1982). Taxometric methods. In Kendall, P. C., & Butcher, J. N. (Eds.), Handbook of research methods in clinical psychology (pp. 127-182). New York: Wiley.
     ■ Mehler, J., E.C.T. Walker & M. Garrett (Eds.) (1982). Perspectives on mental rep resentation: Experimental and theoretical studies of cognitive processes and ca pacities. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Mill, J. S. (1900). A system of logic, ratiocinative and inductive: Being a connected view of the principles of evidence and the methods of scientific investigation. London: Longmans, Green.
     ■ Miller, G. A. (1979, June). A very personal history. Talk to the Cognitive Science Workshop, Cambridge, MA.
     ■ Miller, J. (1983). States of mind. New York: Pantheon Books.
     ■ Minsky, M. (1975). A framework for representing knowledge. In P. H. Winston (Ed.), The psychology of computer vision (pp. 211-277). New York: McGrawHill.
     ■ Minsky, M., & S. Papert (1973). Artificial intelligence. Condon Lectures, Oregon State System of Higher Education, Eugene, Oregon.
     ■ Minsky, M. L. (1986). The society of mind. New York: Simon & Schuster.
     ■ Mischel, T. (1976). Psychological explanations and their vicissitudes. In J. K. Cole & W. J. Arnold (Eds.), Nebraska Symposium on motivation (Vol. 23). Lincoln, NB: University of Nebraska Press.
     ■ Morford, M.P.O., & R. J. Lenardon (1995). Classical mythology (5th ed.). New York: Longman.
     ■ Murdoch, I. (1954). Under the net. New York: Penguin.
     ■ Nagel, E. (1959). Methodological issues in psychoanalytic theory. In S. Hook (Ed.), Psychoanalysis, scientific method, and philosophy: A symposium. New York: New York University Press.
     ■ Nagel, T. (1979). Mortal questions. London: Cambridge University Press.
     ■ Nagel, T. (1986). The view from nowhere. Oxford: Oxford University Press.
     ■ Neisser, U. (1967). Cognitive psychology. New York: Appleton-Century-Crofts.
     ■ Neisser, U. (1972). Changing conceptions of imagery. In P. W. Sheehan (Ed.), The function and nature of imagery (pp. 233-251). London: Academic Press.
     ■ Neisser, U. (1976). Cognition and reality. San Francisco: W. H. Freeman.
     ■ Neisser, U. (1978). Memory: What are the important questions? In M. M. Gruneberg, P. E. Morris & R. N. Sykes (Eds.), Practical aspects of memory (pp. 3-24). London: Academic Press.
     ■ Neisser, U. (1979). The concept of intelligence. In R. J. Sternberg & D. K. Detterman (Eds.), Human intelligence: Perspectives on its theory and measurement (pp. 179-190). Norwood, NJ: Ablex.
     ■ Nersessian, N. (1992). How do scientists think? Capturing the dynamics of conceptual change in science. In R. N. Giere (Ed.), Cognitive models of science (pp. 3-44). Minneapolis: University of Minnesota Press.
     ■ Newell, A. (1973a). Artificial intelligence and the concept of mind. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 1-60). San Francisco: W. H. Freeman.
     ■ Newell, A. (1973b). You can't play 20 questions with nature and win. In W. G. Chase (Ed.), Visual information processing (pp. 283-310). New York: Academic Press.
     ■ Newell, A., & H. A. Simon (1963). GPS: A program that simulates human thought. In E. A. Feigenbaum & J. Feldman (Eds.), Computers and thought (pp. 279-293). New York & McGraw-Hill.
     ■ Newell, A., & H. A. Simon (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.
     ■ Nietzsche, F. (1966). Beyond good and evil. W. Kaufmann (Trans.). New York: Vintage. (Originally published in 1885.)
     ■ Nilsson, N. J. (1971). Problem- solving methods in artificial intelligence. New York: McGraw-Hill.
     ■ Nussbaum, M. C. (1978). Aristotle's Princeton University Press. De Motu Anamalium. Princeton, NJ:
     ■ Oersted, H. C. (1920). Thermo-electricity. In Kirstine Meyer (Ed.), H. C. Oersted, Natuurvidenskabelige Skrifter (Vol. 2). Copenhagen: n.p. (Originally published in 1830 in The Edinburgh encyclopaedia.)
     ■ Ong, W. J. (1982). Orality and literacy: The technologizing of the word. London: Methuen.
     ■ Onians, R. B. (1954). The origins of European thought. Cambridge, MA: Cambridge University Press.
     ■ Osgood, C. E. (1960). Method and theory in experimental psychology. New York: Oxford University Press. (Originally published in 1953.)
     ■ Osgood, C. E. (1966). Language universals and psycholinguistics. In J. H. Greenberg (Ed.), Universals of language (2nd ed., pp. 299-322). Cambridge, MA: MIT Press.
     ■ Palmer, R. E. (1969). Hermeneutics. Evanston, IL: Northwestern University Press.
     ■ Peirce, C. S. (1934). Some consequences of four incapacities-Man, a sign. In C. Hartsborne & P. Weiss (Eds.), Collected papers of Charles Saunders Peirce (Vol. 5, pp. 185-189). Cambridge, MA: Harvard University Press.
     ■ Penfield, W. (1959). In W. Penfield & L. Roberts, Speech and brain mechanisms. Princeton, NJ: Princeton University Press.
     ■ Penrose, R. (1994). Shadows of the mind: A search for the missing science of conscious ness. Oxford: Oxford University Press.
     ■ Perkins, D. N. (1981). The mind's best work. Cambridge, MA: Harvard University Press.
     ■ Peterfreund, E. (1986). The heuristic approach to psychoanalytic therapy. In
     ■ J. Reppen (Ed.), Analysts at work, (pp. 127-144). Hillsdale, NJ: Analytic Press.
     ■ Piaget, J. (1952). The origin of intelligence in children. New York: International Universities Press. (Originally published in 1936.)
     ■ Piaget, J. (1954). Le langage et les opeґrations intellectuelles. Proble` mes de psycho linguistique. Symposium de l'Association de Psychologie Scientifique de Langue Francёaise. Paris: Presses Universitaires de France.
     ■ Piaget, J. (1977). Problems of equilibration. In H. E. Gruber & J. J. Voneche (Eds.), The essential Piaget (pp. 838-841). London: Routlege & Kegan Paul. (Originally published in 1975 as L'eґquilibration des structures cognitives [Paris: Presses Universitaires de France].)
     ■ Piaget, J., & B. Inhelder. (1973). Memory and intelligence. New York: Basic Books.
     ■ Pinker, S. (1994). The language instinct. New York: Morrow.
     ■ Pinker, S. (1996). Facts about human language relevant to its evolution. In J.-P. Changeux & J. Chavaillon (Eds.), Origins of the human brain. A symposium of the Fyssen foundation (pp. 262-283). Oxford: Clarendon Press. Planck, M. (1949). Scientific autobiography and other papers. F. Gaynor (Trans.). New York: Philosophical Library.
     ■ Planck, M. (1990). Wissenschaftliche Selbstbiographie. W. Berg (Ed.). Halle, Germany: Deutsche Akademie der Naturforscher Leopoldina.
     ■ Plato (1892). Meno. In The Dialogues of Plato (B. Jowett, Trans.; Vol. 2). New York: Clarendon. (Originally published circa 380 B.C.)
     ■ Poincareґ, H. (1913). Mathematical creation. In The foundations of science. G. B. Halsted (Trans.). New York: Science Press.
     ■ Poincareґ, H. (1921). The foundations of science: Science and hypothesis, the value of science, science and method. G. B. Halstead (Trans.). New York: Science Press.
     ■ Poincareґ, H. (1929). The foundations of science: Science and hypothesis, the value of science, science and method. New York: Science Press.
     ■ Poincareґ, H. (1952). Science and method. F. Maitland (Trans.) New York: Dover.
     ■ Polya, G. (1945). How to solve it. Princeton, NJ: Princeton University Press.
     ■ Polanyi, M. (1958). Personal knowledge. London: Routledge & Kegan Paul.
     ■ Popper, K. (1968). Conjectures and refutations: The growth of scientific knowledge. New York: Harper & Row/Basic Books.
     ■ Popper, K., & J. Eccles (1977). The self and its brain. New York: Springer-Verlag.
     ■ Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.
     ■ Putnam, H. (1975). Mind, language and reality: Philosophical papers (Vol. 2). Cambridge: Cambridge University Press.
     ■ Putnam, H. (1987). The faces of realism. LaSalle, IL: Open Court.
     ■ Pylyshyn, Z. W. (1981). The imagery debate: Analog media versus tacit knowledge. In N. Block (Ed.), Imagery (pp. 151-206). Cambridge, MA: MIT Press.
     ■ Pylyshyn, Z. W. (1984). Computation and cognition: Towards a foundation for cog nitive science. Cambridge, MA: MIT Press/Bradford Books.
     ■ Quillian, M. R. (1968). Semantic memory. In M. Minsky (Ed.), Semantic information processing (pp. 216-260). Cambridge, MA: MIT Press.
     ■ Quine, W.V.O. (1960). Word and object. Cambridge, MA: Harvard University Press.
     ■ Rabbitt, P.M.A., & S. Dornic (Eds.). Attention and performance (Vol. 5). London: Academic Press.
     ■ Rawlins, G.J.E. (1997). Slaves of the Machine: The quickening of computer technology. Cambridge, MA: MIT Press/Bradford Books.
     ■ Reid, T. (1970). An inquiry into the human mind on the principles of common sense. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 151-178). New York: Random House/Modern Library.
     ■ Reitman, W. (1970). What does it take to remember? In D. A. Norman (Ed.), Models of human memory (pp. 470-510). London: Academic Press.
     ■ Ricoeur, P. (1974). Structure and hermeneutics. In D. I. Ihde (Ed.), The conflict of interpretations: Essays in hermeneutics (pp. 27-61). Evanston, IL: Northwestern University Press.
     ■ Robinson, D. N. (1986). An intellectual history of psychology. Madison: University of Wisconsin Press.
     ■ Rorty, R. (1979). Philosophy and the mirror of nature. Princeton, NJ: Princeton University Press.
     ■ Rosch, E. (1977). Human categorization. In N. Warren (Ed.), Studies in cross cultural psychology (Vol. 1, pp. 1-49) London: Academic Press.
     ■ Rosch, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 27-48). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Rosch, E., & B. B. Lloyd (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Rose, S. (1970). The chemistry of life. Baltimore: Penguin Books.
     ■ Rose, S. (1976). The conscious brain (updated ed.). New York: Random House.
     ■ Rose, S. (1993). The making of memory: From molecules to mind. New York: Anchor Books. (Originally published in 1992)
     ■ Roszak, T. (1994). The cult of information: A neo- Luddite treatise on high- tech, artificial intelligence, and the true art of thinking (2nd ed.). Berkeley: University of California Press.
     ■ Royce, J. R., & W. W. Rozeboom (Eds.) (1972). The psychology of knowing. New York: Gordon & Breach.
     ■ Rumelhart, D. E. (1977). Introduction to human information processing. New York: Wiley.
     ■ Rumelhart, D. E. (1980). Schemata: The building blocks of cognition. In R. J. Spiro, B. Bruce & W. F. Brewer (Eds.), Theoretical issues in reading comprehension. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Rumelhart, D. E., & J. L. McClelland (1986). On learning the past tenses of English verbs. In J. L. McClelland & D. E. Rumelhart (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 2). Cambridge, MA: MIT Press.
     ■ Rumelhart, D. E., P. Smolensky, J. L. McClelland & G. E. Hinton (1986). Schemata and sequential thought processes in PDP models. In J. L. McClelland, D. E. Rumelhart & the PDP Research Group (Eds.), Parallel Distributed Processing (Vol. 2, pp. 7-57). Cambridge, MA: MIT Press.
     ■ Russell, B. (1927). An outline of philosophy. London: G. Allen & Unwin.
     ■ Russell, B. (1961). History of Western philosophy. London: George Allen & Unwin.
     ■ Russell, B. (1965). How I write. In Portraits from memory and other essays. London: Allen & Unwin.
     ■ Russell, B. (1992). In N. Griffin (Ed.), The selected letters of Bertrand Russell (Vol. 1), The private years, 1884- 1914. Boston: Houghton Mifflin. Ryecroft, C. (1966). Psychoanalysis observed. London: Constable.
     ■ Sagan, C. (1978). The dragons of Eden: Speculations on the evolution of human intel ligence. New York: Ballantine Books.
     ■ Salthouse, T. A. (1992). Expertise as the circumvention of human processing limitations. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.
     ■ Sanford, A. J. (1987). The mind of man: Models of human understanding. New Haven, CT: Yale University Press.
     ■ Sapir, E. (1921). Language. New York: Harcourt, Brace, and World.
     ■ Sapir, E. (1964). Culture, language, and personality. Berkeley: University of California Press. (Originally published in 1941.)
     ■ Sapir, E. (1985). The status of linguistics as a science. In D. G. Mandelbaum (Ed.), Selected writings of Edward Sapir in language, culture and personality (pp. 160166). Berkeley: University of California Press. (Originally published in 1929).
     ■ Scardmalia, M., & C. Bereiter (1992). Literate expertise. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.
     ■ Schafer, R. (1954). Psychoanalytic interpretation in Rorschach testing. New York: Grune & Stratten.
     ■ Schank, R. C. (1973). Identification of conceptualizations underlying natural language. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 187-248). San Francisco: W. H. Freeman.
     ■ Schank, R. C. (1976). The role of memory in language processing. In C. N. Cofer (Ed.), The structure of human memory. (pp. 162-189) San Francisco: W. H. Freeman.
     ■ Schank, R. C. (1986). Explanation patterns: Understanding mechanically and creatively. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Schank, R. C., & R. P. Abelson (1977). Scripts, plans, goals, and understanding. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ SchroЁdinger, E. (1951). Science and humanism. Cambridge: Cambridge University Press.
     ■ Searle, J. R. (1981a). Minds, brains, and programs. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 282-306). Cambridge, MA: MIT Press.
     ■ Searle, J. R. (1981b). Minds, brains and programs. In D. Hofstadter & D. Dennett (Eds.), The mind's I (pp. 353-373). New York: Basic Books.
     ■ Searle, J. R. (1983). Intentionality. New York: Cambridge University Press.
     ■ Serres, M. (1982). The origin of language: Biology, information theory, and thermodynamics. M. Anderson (Trans.). In J. V. Harari & D. F. Bell (Eds.), Hermes: Literature, science, philosophy (pp. 71-83). Baltimore: Johns Hopkins University Press.
     ■ Simon, H. A. (1966). Scientific discovery and the psychology of problem solving. In R. G. Colodny (Ed.), Mind and cosmos: Essays in contemporary science and philosophy (pp. 22-40). Pittsburgh: University of Pittsburgh Press.
     ■ Simon, H. A. (1979). Models of thought. New Haven, CT: Yale University Press.
     ■ Simon, H. A. (1989). The scientist as a problem solver. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert Simon. Hillsdale, N.J.: Lawrence Erlbaum Associates.
     ■ Simon, H. A., & C. Kaplan (1989). Foundations of cognitive science. In M. Posner (Ed.), Foundations of cognitive science (pp. 1-47). Cambridge, MA: MIT Press.
     ■ Simonton, D. K. (1988). Creativity, leadership and chance. In R. J. Sternberg (Ed.), The nature of creativity. Cambridge: Cambridge University Press.
     ■ Skinner, B. F. (1974). About behaviorism. New York: Knopf.
     ■ Smith, E. E. (1988). Concepts and thought. In J. Sternberg & E. E. Smith (Eds.), The psychology of human thought (pp. 19-49). Cambridge: Cambridge University Press.
     ■ Smith, E. E. (1990). Thinking: Introduction. In D. N. Osherson & E. E. Smith (Eds.), Thinking. An invitation to cognitive science. (Vol. 3, pp. 1-2). Cambridge, MA: MIT Press.
     ■ Socrates. (1958). Meno. In E. H. Warmington & P. O. Rouse (Eds.), Great dialogues of Plato W.H.D. Rouse (Trans.). New York: New American Library. (Original publication date unknown.)
     ■ Solso, R. L. (1974). Theories of retrieval. In R. L. Solso (Ed.), Theories in cognitive psychology. Potomac, MD: Lawrence Erlbaum Associates.
     ■ Spencer, H. (1896). The principles of psychology. New York: Appleton-CenturyCrofts.
     ■ Steiner, G. (1975). After Babel: Aspects of language and translation. New York: Oxford University Press.
     ■ Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Sternberg, R. J. (1994). Intelligence. In R. J. Sternberg, Thinking and problem solving. San Diego: Academic Press.
     ■ Sternberg, R. J., & J. E. Davidson (1985). Cognitive development in gifted and talented. In F. D. Horowitz & M. O'Brien (Eds.), The gifted and talented (pp. 103-135). Washington, DC: American Psychological Association.
     ■ Storr, A. (1993). The dynamics of creation. New York: Ballantine Books. (Originally published in 1972.)
     ■ Stumpf, S. E. (1994). Philosophy: History and problems (5th ed.). New York: McGraw-Hill.
     ■ Sulloway, F. J. (1996). Born to rebel: Birth order, family dynamics, and creative lives. New York: Random House/Vintage Books.
     ■ Thorndike, E. L. (1906). Principles of teaching. New York: A. G. Seiler.
     ■ Thorndike, E. L. (1970). Animal intelligence: Experimental studies. Darien, CT: Hafner Publishing Co. (Originally published in 1911.)
     ■ Titchener, E. B. (1910). A textbook of psychology. New York: Macmillan.
     ■ Titchener, E. B. (1914). A primer of psychology. New York: Macmillan.
     ■ Toulmin, S. (1957). The philosophy of science. London: Hutchinson.
     ■ Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organisation of memory. London: Academic Press.
     ■ Turing, A. (1946). In B. E. Carpenter & R. W. Doran (Eds.), ACE reports of 1946 and other papers. Cambridge, MA: MIT Press.
     ■ Turkle, S. (1984). Computers and the second self: Computers and the human spirit. New York: Simon & Schuster.
     ■ Tyler, S. A. (1978). The said and the unsaid: Mind, meaning, and culture. New York: Academic Press.
     ■ van Heijenoort (Ed.) (1967). From Frege to Goedel. Cambridge: Harvard University Press.
     ■ Varela, F. J. (1984). The creative circle: Sketches on the natural history of circularity. In P. Watzlawick (Ed.), The invented reality (pp. 309-324). New York: W. W. Norton.
     ■ Voltaire (1961). On the Penseґs of M. Pascal. In Philosophical letters (pp. 119-146). E. Dilworth (Trans.). Indianapolis: Bobbs-Merrill.
     ■ Wagman, M. (1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.
     ■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.
     ■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.
     ■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.
     ■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.
     ■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.
     ■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.
     ■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.
     ■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.
     ■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.
     ■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.
     ■ Weisberg, R. W. (1986). Creativity: Genius and other myths. New York: W. H. Freeman.
     ■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.
     ■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.
     ■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.
     ■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.
     ■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.
     ■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifflin.
     ■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.
     ■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.
     ■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.
     ■ Winston, P. H. (Ed.) (1975). The psychology of computer vision. New York: McGrawHill.
     ■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.
     ■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.
     ■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.
     ■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).
     ■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.
     ■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.
     ■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.
     ■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.

    Historical dictionary of quotations in cognitive science > Bibliography

  • 3 Artificial Intelligence

       In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)
       Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)
       Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....
       When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)
       4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, Eventually
       Just as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)
       Many problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)
       What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)
       [AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)
       The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)
       9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract Form
       The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)
       There are many different kinds of reasoning one might imagine:
        Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."
        Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)
       Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)
       Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)
       The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)
        14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory Formation
       It is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)
       We might distinguish among four kinds of AI.
       Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.
       Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.
    ... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)
       Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)
        16) Determination of Relevance of Rules in Particular Contexts
       Even if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)
       Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)
        18) The Assumption That the Mind Is a Formal System
       Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)
        19) A Statement of the Primary and Secondary Purposes of Artificial Intelligence
       The primary goal of Artificial Intelligence is to make machines smarter.
       The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)
       The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....
       AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)
        21) Perceptual Structures Can Be Represented as Lists of Elementary Propositions
       In artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)
       Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)
       Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)
       The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)

    Historical dictionary of quotations in cognitive science > Artificial Intelligence

  • 4 evidente

    adj.
    1 evident, obvious.
    2 sincere, plain, obvious, frank.
    * * *
    1 evident, obvious
    * * *
    adj.
    evident, obvious
    * * *
    ADJ obvious, clear, evident

    ¡evidente! — naturally!, obviously!

    * * *
    adjetivo obvious, clear
    * * *
    = apparent, evident, notable, noticeable, plain [plainer -comp., plainest -sup.], perceptible, axiomatic, glaring, flagrant, visible, manifest, patent.
    Ex. Menu-based information retrieval system have found favour because of their apparent simplicity.
    Ex. Complete agreement had not been possible, but the numbers of rules where divergent practices were evident is limited.
    Ex. There are notable differences in practice between the United States and the United Kingdom.
    Ex. The most noticeable effect the advent of Islam had on Arab names was not so much on structure as on choice.
    Ex. To reiterate, there are two main categories of relationship: the syntactic relationships referred to in the last paragraph and plain, for example, in a topic such as 'sugar and health'.
    Ex. The library was found to have inadequate lighting for the partially sighted and a lack of a fire warning perceptible to the deaf.
    Ex. It is axiomatic that backup copies of software are made and stored safely, so that, should anything happen to the cassette or disk, the program is not lost.
    Ex. The lack of storage and display space, a glaring deficiency in seating capacity and physical limitations of the building all meant that the library was not adequately serving its patrons.
    Ex. In the past teachers and lecturers have been the most flagrant violators of the author's copyright.
    Ex. Since a software package is to be sold it must be visible on the marketplace.
    Ex. A close knowledge of the institution is also needed to distinguish between professed objectives, the official and manifest ones which appear in organizational preambles, and the practiced ones which are often latent in the operating program.
    Ex. It was patent that they could not compete on equal terms with the economic and social forces of a complex civilization.
    ----
    * es evidente = clearly.
    * evidente en = in evidence in.
    * evidente por sí mismo = self-evident.
    * hacerse evidente = become + apparent, come through.
    * poco evidente = unnoted.
    * prueba evidente = living proof.
    * * *
    adjetivo obvious, clear
    * * *
    = apparent, evident, notable, noticeable, plain [plainer -comp., plainest -sup.], perceptible, axiomatic, glaring, flagrant, visible, manifest, patent.

    Ex: Menu-based information retrieval system have found favour because of their apparent simplicity.

    Ex: Complete agreement had not been possible, but the numbers of rules where divergent practices were evident is limited.
    Ex: There are notable differences in practice between the United States and the United Kingdom.
    Ex: The most noticeable effect the advent of Islam had on Arab names was not so much on structure as on choice.
    Ex: To reiterate, there are two main categories of relationship: the syntactic relationships referred to in the last paragraph and plain, for example, in a topic such as 'sugar and health'.
    Ex: The library was found to have inadequate lighting for the partially sighted and a lack of a fire warning perceptible to the deaf.
    Ex: It is axiomatic that backup copies of software are made and stored safely, so that, should anything happen to the cassette or disk, the program is not lost.
    Ex: The lack of storage and display space, a glaring deficiency in seating capacity and physical limitations of the building all meant that the library was not adequately serving its patrons.
    Ex: In the past teachers and lecturers have been the most flagrant violators of the author's copyright.
    Ex: Since a software package is to be sold it must be visible on the marketplace.
    Ex: A close knowledge of the institution is also needed to distinguish between professed objectives, the official and manifest ones which appear in organizational preambles, and the practiced ones which are often latent in the operating program.
    Ex: It was patent that they could not compete on equal terms with the economic and social forces of a complex civilization.
    * es evidente = clearly.
    * evidente en = in evidence in.
    * evidente por sí mismo = self-evident.
    * hacerse evidente = become + apparent, come through.
    * poco evidente = unnoted.
    * prueba evidente = living proof.

    * * *
    obvious, clear
    resulta evidente que no tienen intención de aceptar la propuesta it is obvious o clear o ( frml) evident that they do not intend to accept the proposal, they clearly o obviously do not intend to accept the proposal
    si es muy caro no lo compres — ¡evidente! if it's very expensive, don't buy it — no, of course I won't o no, obviously!
    * * *

    evidente adjetivo
    obvious, clear
    evidente adjetivo obvious
    ' evidente' also found in these entries:
    Spanish:
    cantar
    - clara
    - claro
    - demostrar
    - meridiana
    - meridiano
    - notoria
    - notorio
    - patente
    - sensible
    - tres
    - visible
    - manifestar
    - palpable
    - visto
    English:
    apparent
    - blatant
    - conspicuous
    - consternation
    - crime
    - definite
    - dissatisfaction
    - evident
    - glaring
    - obvious
    - patent
    - perfectly
    - plain
    - self-evident
    - clear
    - obviously
    - self
    - visible
    * * *
    evident, obvious;
    es evidente que no les caemos bien it's obvious they don't like us;
    su enfado era evidente she was clearly o visibly angry;
    ¿te gustaría ganar más? – ¡evidente! would you like to earn more? – of course!
    * * *
    adj evident, clear
    * * *
    : evident, obvious, clear
    * * *
    evidente adj obvious

    Spanish-English dictionary > evidente

  • 5 adquisición

    f.
    acquisition, buy, purchase, acquirement.
    * * *
    1 acquisition (compra) buy, purchase
    * * *
    noun f.
    * * *
    SF
    1) (=compra) acquisition, purchase
    oferta
    2) (=artículo comprado) acquisition
    3) (=persona) acquisition

    la cocinera ha sido una auténtica adquisición — * the cook is a real find *

    4) [de conocimientos, datos] acquisition
    5) [de costumbres] adoption
    * * *
    a) (objeto, cosa) acquisition
    b) ( acción) acquisition
    * * *
    = accession, acquisition, acquisition, procurement, purchase, elicitation, buy-in, getting.
    Ex. Subject to local circumstances, the size of a reserve store should be limited to the accommodation required for about five years' accessions at current rates.
    Ex. Almost inevitably then, many libraries will have acquisitions for which records are not available in a centralised cataloguing service.
    Ex. Mergers and acquisitions are playing an increasing important part in corporate strategies, stimulated by the scramble for market position in the new Europe.
    Ex. In 1983 the EC funded contracts which entailed the procurement of goods and services amounting to 400 million pounds.
    Ex. These details are primarily useful as a record of expenditure or to organisations or individuals contemplating the purchase of a work.
    Ex. Procedures of knowledge elicitation are described.
    Ex. The seminar will deal with the processes of developing and ensuring corporate buy-in to a digital preservation policy.
    Ex. I am an associate director for collections development, and my responsibilities relate to the getting and keeping of collections = Soy subdirector encargado del desarrollo de la colección y mis responsabilidades están relaconadas con la adquisición y mantenimiento de las colecciones.
    ----
    * adquisición cooperativa = cooperative acquisition.
    * adquisición de libros = book supply, book purchasing.
    * adquisición en línea = online acquisition.
    * adquisición gratuita = free acquisition.
    * adquisición pendiente de examen y aceptación = on approval acquisition, sending on approbation, sending on approval.
    * adquisición por compra o intercambio = non-gratuitous acquisition.
    * adquisición por legado = bequest acquisition.
    * adquisición por ordenador = computerised acquisition.
    * área del número normalizado y de las condiciones de adquisición = International Standard Book Number and terms of availability area, standard number and terms of availability area.
    * Asociación Nacional para Adquisiciones (NAG) = National Acquisitions Group (NAG).
    * basado en la adquisición de contenidos teóricos = content based.
    * bibliotecario encargado de las adquisiciones = acquisitions librarian.
    * centro de adquisiciones = acquisition centre.
    * condiciones de adquisición = obtainability conditions.
    * condiciones de adquisición y = terms of availability and/or price.
    * control de adquisiciones = acquisition control.
    * departamento de adquisiciones = acquisitions department.
    * fichero de adquisiciones = acquisition(s) file.
    * lista de nuevas adquisiciones = acquisitions list.
    * lista de últimas adquisiciones = accessions list, list of current acquisitions, addition list.
    * módulo de adquisiciones = acquisitions system, acquisitions module.
    * Módulo de Adquisiciones y Pedidos = Acquisitions and Ordering System.
    * número de adquisiciones = acquisition rate.
    * plan de adquisición de material a vista = approval plan.
    * plan de adquisiciones = acquisitions plan.
    * política de adquisiciones = acquisition policy [acquisitions policy], collection development [collections development], selection policy, collection policy.
    * presupuesto de adquisiciones = acquisitions budget.
    * presupuesto para adquisición de material = capital budget.
    * Programa Nacional para las Adquisiciones y la Catalogación (NPAC) = National Program for Acquisitions and Cataloging (NPAC).
    * sección de adquisiciones = acquisitions department, order department.
    * servicio de adquisiciones = acquisition routines, acquisition(s) service.
    * * *
    a) (objeto, cosa) acquisition
    b) ( acción) acquisition
    * * *
    = accession, acquisition, acquisition, procurement, purchase, elicitation, buy-in, getting.

    Ex: Subject to local circumstances, the size of a reserve store should be limited to the accommodation required for about five years' accessions at current rates.

    Ex: Almost inevitably then, many libraries will have acquisitions for which records are not available in a centralised cataloguing service.
    Ex: Mergers and acquisitions are playing an increasing important part in corporate strategies, stimulated by the scramble for market position in the new Europe.
    Ex: In 1983 the EC funded contracts which entailed the procurement of goods and services amounting to 400 million pounds.
    Ex: These details are primarily useful as a record of expenditure or to organisations or individuals contemplating the purchase of a work.
    Ex: Procedures of knowledge elicitation are described.
    Ex: The seminar will deal with the processes of developing and ensuring corporate buy-in to a digital preservation policy.
    Ex: I am an associate director for collections development, and my responsibilities relate to the getting and keeping of collections = Soy subdirector encargado del desarrollo de la colección y mis responsabilidades están relaconadas con la adquisición y mantenimiento de las colecciones.
    * adquisición cooperativa = cooperative acquisition.
    * adquisición de libros = book supply, book purchasing.
    * adquisición en línea = online acquisition.
    * adquisición gratuita = free acquisition.
    * adquisición pendiente de examen y aceptación = on approval acquisition, sending on approbation, sending on approval.
    * adquisición por compra o intercambio = non-gratuitous acquisition.
    * adquisición por legado = bequest acquisition.
    * adquisición por ordenador = computerised acquisition.
    * área del número normalizado y de las condiciones de adquisición = International Standard Book Number and terms of availability area, standard number and terms of availability area.
    * Asociación Nacional para Adquisiciones (NAG) = National Acquisitions Group (NAG).
    * basado en la adquisición de contenidos teóricos = content based.
    * bibliotecario encargado de las adquisiciones = acquisitions librarian.
    * centro de adquisiciones = acquisition centre.
    * condiciones de adquisición = obtainability conditions.
    * condiciones de adquisición y = terms of availability and/or price.
    * control de adquisiciones = acquisition control.
    * departamento de adquisiciones = acquisitions department.
    * fichero de adquisiciones = acquisition(s) file.
    * lista de nuevas adquisiciones = acquisitions list.
    * lista de últimas adquisiciones = accessions list, list of current acquisitions, addition list.
    * módulo de adquisiciones = acquisitions system, acquisitions module.
    * Módulo de Adquisiciones y Pedidos = Acquisitions and Ordering System.
    * número de adquisiciones = acquisition rate.
    * plan de adquisición de material a vista = approval plan.
    * plan de adquisiciones = acquisitions plan.
    * política de adquisiciones = acquisition policy [acquisitions policy], collection development [collections development], selection policy, collection policy.
    * presupuesto de adquisiciones = acquisitions budget.
    * presupuesto para adquisición de material = capital budget.
    * Programa Nacional para las Adquisiciones y la Catalogación (NPAC) = National Program for Acquisitions and Cataloging (NPAC).
    * sección de adquisiciones = acquisitions department, order department.
    * servicio de adquisiciones = acquisition routines, acquisition(s) service.

    * * *
    1 (objeto, cosa) acquisition
    ¿has visto mi última adquisición? have you seen my latest acquisition o purchase?
    la última adquisición de los Lakers ( Dep) the Lakers' latest acquisition
    2
    (acción): la adquisición de la casa the purchase of the house
    la adquisición de la lengua materna acquisition of the mother tongue
    el Picasso es de reciente adquisición the Picasso is a recent acquisition o purchase
    Compuesto:
    leveraged buyout
    * * *

     

    adquisición sustantivo femenino
    acquisition;
    ( compra) purchase
    adquisición sustantivo femenino
    1 acquisition
    2 (compra) buy, purchase
    ' adquisición' also found in these entries:
    Spanish:
    OPA
    English:
    acquisition
    - takeover bid
    - accession
    - purchase
    - take
    * * *
    1. [compra] purchase;
    ayudas para la adquisición de viviendas financial assistance for house buyers
    2. [de empresa] takeover
    3. [cosa comprada] purchase;
    nuestra casa fue una excelente adquisición our house was an excellent buy
    4. [de hábito, cultura] acquisition;
    adquisición de conocimientos acquisition of knowledge
    Ling adquisición lingüística language acquisition
    5. Fam [persona]
    el nuevo secretario es toda una adquisición the new secretary is quite a find
    * * *
    f acquisition;
    hacer una buena adquisición make a good purchase;
    gastos de adquisición acquisition costs;
    adquisición de clientes client acquisition
    * * *
    1) : acquisition
    2) compra: purchase

    Spanish-English dictionary > adquisición

  • 6 presentar

    v.
    1 to present.
    Ella presenta soluciones She presents solutions.
    Ella le presenta a Ricardo un regalo She presents Richard a gift.
    Ellos presentan a los candidatos They present=field the candidates.
    2 to make (ofrecer) (disculpas, excusas).
    3 to introduce (person).
    me presentó a sus amigos she introduced me to her friends
    me parece que no nos han presentado I don't think we've been introduced
    Juan, te presento a Carmen Juan, this is Carmen
    permítame que le presente a nuestra directora allow me to introduce you to our manager, I'd like you to meet our manager
    Ella presenta a los invitados She introduces the guests.
    4 to have, to show (tener) (aspecto).
    presenta difícil solución it's going to be difficult to solve
    Ella le presenta al público una obra She shows the public a play.
    5 to host, to be the host of, to act as a compere for, to compere.
    Ella presenta el programa She hosts the program.
    * * *
    1 (gen) to present; (mostrar) to show
    2 (entregar) to hand in
    3 (sacar al mercado) to launch
    4 (personas) to introduce
    ■ ¿te han presentado ya? have you been introduced yet?
    5 TELEVISIÓN to present
    6 (ofrecer) to offer, show
    1 (comparecer) to turn up
    2 (para elección) to stand; (en un concurso) to enter
    \
    presentar una denuncia to lodge a complaint
    presentar una ponencia to present a paper
    * * *
    verb
    •
    * * *
    1. VT
    1) (=enseñar, exponer) [gen] to present; [+ moción, candidato] to propose, put forward; [+ pruebas, informe] to submit; [+ documento, pasaporte] to show

    presentar una propuesta — to make o present a proposal

    presentar algo al cobro o al pago — (Com) to present sth for payment

    2) (=entregar) to hand in

    presentó la dimisión — he handed in his resignation, he resigned

    3) (=mostrar) [+ señal, síntoma] to show
    4) (=exponer al público) [+ producto, disco, libro] to launch
    5) [en espectáculo] [+ obra] to perform; [+ actor, actriz] to present, feature
    6) (=ser presentador de) [+ programa televisivo] to present, host

    J. Pérez presenta el programa — the programme is presented o hosted by J. Pérez

    ¿quién presenta ahora las noticias de las nueve? — who presents o reads the nine o'clock news now?

    7) (=tener) to have
    8) [+ persona] to introduce

    a ver si te presento a mi amiga Jacinta — you must meet my friend Jacinta, I must introduce you to my friend Jacinta

    ser presentada en sociedad — to come out, make one's début

    9) (=ofrecer) [+ disculpa] to offer, make

    le presento mis consideraciones — [en carta] yours faithfully

    10) (Mil)

    presentar batalla — (lit) to draw up in battle array; (fig) to offer resistance

    2.
    See:
    * * *
    1.
    verbo transitivo
    1)
    a) ( mostrar) to present
    b) ( exponer por primera vez) <libro/disco> to launch; < obra de arte> to present; < colección de moda> to present, exhibit
    c) ( entregar) <informe/solicitud> to submit

    le presenté el pasaporte — I gave him my passport, I presented my passport to him

    d) ( enseñar) to show
    e) <disculpas/excusas> to make; < dimisión> to hand in, submit; < queja> to file, make

    presentaron una denuncia — they reported the matter (to the police), they made an official complaint

    f) (Mil)
    2) (TV) < programa> to present, introduce
    3) < persona> to introduce

    te presento a mi hermana — I'd like you to meet my sister, this is my sister

    4) <novedad/ventaja> to offer; < síntoma> to show
    2.
    presentarse v pron
    1)
    a) ( en lugar) to turn up, appear
    b) (a concurso, examen)

    se presentó al examen — she took o (BrE) sat the exam

    se presenta como candidato independiente — he's running (AmE) o (BrE) he's standing as an independent

    2) dificultad/problema to arise, come up, crop up (colloq)

    si se me presenta la oportunidad — if I get the opportunity, if the opportunity arises

    3) ( darse a conocer) to introduce oneself
    * * *
    = bring to + the attention, display, draw, exhibit, expose, feature, introduce, open up, pose, present, provide with, set out, subject, throw up, render, put before, produce, table, submit, unveil, showcase, surrender, lay out, roll out, construct, tender, come up with, report, bring forward, deliver.
    Ex. Many displays are changed from time to time (for example, once a week, or once a month) so that various sections of the stock may be brought to the attention of the library's public over a period of time.
    Ex. The command function 'DISPLAY' is used to display a list of alphabetically linked terms.
    Ex. For example, when setting up the format for records in a data base, the user can draw a form on the screen, complete with headings for each field, and then, the data is entered into the form.
    Ex. These headings, therefore, in addition to exhibiting a bias in favor of the majority, actively hinder access.
    Ex. The reputation of the information and its authority will be more exposed to examination.
    Ex. Other catalogues and bibliographies only feature added entries under title where it is deemed that the author main entry heading is not likely to be obvious to the users.
    Ex. The report introduced a range of ideas which have influenced subsequent code construction.
    Ex. Here is a key paper by a non librarian which opens up a new and constructive approach to library purpose.
    Ex. This illustrates the puzzle that differential policies pose for users.
    Ex. Informative abstract present as much as possible of the quantitative or qualitative information contained in a document.
    Ex. Many libraries provide users with photocopies of contents pages of selected journals.
    Ex. A short score is a sketch made by a composer for an ensemble work, with the main features of the composition set out on a few staves.
    Ex. Author abstracts are the abstracts prepared by authors of the document that has been subjected to abstracting.
    Ex. Demands from clients will often throw up an occurrence of similar problems, revealing perhaps the operation of an injustice, the lack of an amenity in the neighbourhood, or simply bureaucratic inefficiency.
    Ex. The eventuality is, admittedly, remote but it is also necessary to render the imprint statement in this amount of detail.
    Ex. The art of documentation is the process by which the documentalist is enabled to put before the creative specialist the existing literature bearing on the subject of his investigation.
    Ex. The perfect librarian may be defined as one who produces the information a reader requires as soon as the reader asks for it.
    Ex. This list indicates the dates the reports were tabled and any further action take.
    Ex. Most publications are probably free distribution material and whilst that does not absolve the publishers from the obligation of legal deposit it is probable that many local authorities do not submit their materials.
    Ex. Here is an institution which knows, neither rank nor wealth within its walls, which stops the ignorant peer or the ignorant monarch at its threshold, and declines to unveil to him its treasures, or to waste time upon him, and yet welcomes the workman according to his knowledge or thirst for knowledge.
    Ex. Officially known as SOLEX, this exhibition showcases mainly IT based products for the legal profession.
    Ex. The book's date label is stamped in the usual way, and the reader must surrender one token for each book he is borrowing.
    Ex. There should be plenty of space to lay out all the books attractively and for people to move about without feeling too crowded.
    Ex. I don't need to tell those of you from higher education institutions how course management systems are starting to really proliferate and roll out in higher education.
    Ex. It is argued that newspaper reporting of bigamy constructs bigamists as being a threat to the institution of marriage.
    Ex. This address was tendered at the State Library of Victoria, Nov 88, to mark the retirement of Professor Jean Whyte.
    Ex. Derfer corroborated her: 'I'd be very proud of you if you could come up with the means to draft a model collection development policy'.
    Ex. Criticism is not appropriate in a style which aims to report, but not comment upon the content of the original document.
    Ex. They also intend to bring forward legislation to provide that the maximum amount of compensation should be £500,000.
    Ex. The result could be termed a full-provision data base -- a data base including both text and reference, and delivering much more than the 2 added together.
    ----
    * argumento que presenta sólo un punto de vista = one-sided argument.
    * oportunidad + presentarse = opportunity + knock, opportunity + present + Reflexivo.
    * presentar Algo desde una nueva óptica = throw + Nombre + in a new light, throw + new light on.
    * presentar Algo desde un nuevo ángulo = throw + new light on.
    * presentar argumentos a favor = make + a case for.
    * presentar argumentos a favor de = present + arguments in favour of.
    * presentar como = make + Nombre + out to be.
    * presentar conclusiones = provide + conclusions.
    * presentar conocimiento = package + knowledge.
    * presentar deficiencias = fall + short.
    * presentar de manera esquemática = give + overview.
    * presentar dentro de = package.
    * presentar Algo desde una nueva perspectiva = shed + new light on, throw + new light on.
    * presentar detalladamente = spread out.
    * presentar dificultad = present + difficulty.
    * presentar en forma de tabla = tabulate.
    * presentar en pantalla = call up, print + online, bring up, screen.
    * presentar evidencia a favor de = present + case for.
    * presentar información = submit + information, package + information.
    * presentar información de varios modos = repackage + information.
    * presentar la evolución de Algo = chart + the history.
    * presentar la oportunidad = allow + the opportunity to.
    * presentar las pruebas ante = lay + evidence before.
    * presentar peligro = present + danger.
    * presentar + Posesivo + respetos = pay + Posesivo + respects.
    * presentar posibilidades = present + possibilities, open (up) + avenues.
    * presentar problemas = present + problems.
    * presentar pruebas = give + evidence.
    * presentar resultados = report + findings, report + results.
    * presentar reto = defy.
    * presentarse = come in, manifest + Reflexivo, turn up, show up, unfold, come forward, come with.
    * presentarse a = stand for.
    * presentarse a una elección = stand for + election, run for + election.
    * presentarse desde una nueva perspectiva = stand in + a new light.
    * presentar (según) = cast (in/into).
    * presentarse una ocasión = occasion + arise.
    * presentar similitudes = share + similarities.
    * presentar una amenaza = pose + threat.
    * presentar una comunicación = deliver + paper, give + paper, present + paper.
    * presentar una contribución = present + contribution.
    * presentar una demanda = file + suit against, file + lawsuit against.
    * presentar una demanda judicial = take + legal action, take + legal proceedings.
    * presentar una denuncia = file + police report.
    * presentar una factura = submit + bill.
    * presentar una idea = make + point, put forward + idea, offer + perspective, present + idea.
    * presentar una imagen = present + picture, paint + a picture, present + an image.
    * presentar una oportunidad = afford + opportunity.
    * presentar una petición = submit + petition.
    * presentar una ponencia = give + paper, read + paper.
    * presentar una propuesta = submit + proposal.
    * presentar una queja = register + complaint, lodge + complaint, file + complaint, file + grievance.
    * presentar una reclamación = enter + complaint, place + claim, file + complaint.
    * presentar un argumento = advance + argument.
    * presentar una solicitud = submit + application.
    * presentar un aspecto = present + a picture.
    * presentar un aspecto de = wear + a look of.
    * presentar una visión = present + a picture.
    * presentar una visión global = give + overview, present + an overview, present + an overall picture, give + an overall picture, overview.
    * presentar un buen aspecto = look + good.
    * presentar un dilema = present + dilemma.
    * presentar un frente común = present + common front.
    * presentar un informe = give + a report, present + report.
    * presentar un obstáculo = pose + obstacle.
    * presentar un peligro = pose + danger.
    * presentar un problema = pose + problem, air + problem.
    * presentar un programa = present + programme.
    * presentar un proyecto = submit + project, present + project.
    * presentar un resumen = give + summary.
    * presentar un reto = present + challenge, provide + challenge.
    * presentar un riesgo = pose + risk.
    * presentar vestigios de = bear + traces of.
    * seleccionar y presentar en un documento = package.
    * volver a presentar = resubmit [re-submit].
    * * *
    1.
    verbo transitivo
    1)
    a) ( mostrar) to present
    b) ( exponer por primera vez) <libro/disco> to launch; < obra de arte> to present; < colección de moda> to present, exhibit
    c) ( entregar) <informe/solicitud> to submit

    le presenté el pasaporte — I gave him my passport, I presented my passport to him

    d) ( enseñar) to show
    e) <disculpas/excusas> to make; < dimisión> to hand in, submit; < queja> to file, make

    presentaron una denuncia — they reported the matter (to the police), they made an official complaint

    f) (Mil)
    2) (TV) < programa> to present, introduce
    3) < persona> to introduce

    te presento a mi hermana — I'd like you to meet my sister, this is my sister

    4) <novedad/ventaja> to offer; < síntoma> to show
    2.
    presentarse v pron
    1)
    a) ( en lugar) to turn up, appear
    b) (a concurso, examen)

    se presentó al examen — she took o (BrE) sat the exam

    se presenta como candidato independiente — he's running (AmE) o (BrE) he's standing as an independent

    2) dificultad/problema to arise, come up, crop up (colloq)

    si se me presenta la oportunidad — if I get the opportunity, if the opportunity arises

    3) ( darse a conocer) to introduce oneself
    * * *
    presentar (según)
    (v.) = cast (in/into)

    Ex: Which of the following subject analyses is cast in the citation order PMEST?.

    = bring to + the attention, display, draw, exhibit, expose, feature, introduce, open up, pose, present, provide with, set out, subject, throw up, render, put before, produce, table, submit, unveil, showcase, surrender, lay out, roll out, construct, tender, come up with, report, bring forward, deliver.

    Ex: Many displays are changed from time to time (for example, once a week, or once a month) so that various sections of the stock may be brought to the attention of the library's public over a period of time.

    Ex: The command function 'DISPLAY' is used to display a list of alphabetically linked terms.
    Ex: For example, when setting up the format for records in a data base, the user can draw a form on the screen, complete with headings for each field, and then, the data is entered into the form.
    Ex: These headings, therefore, in addition to exhibiting a bias in favor of the majority, actively hinder access.
    Ex: The reputation of the information and its authority will be more exposed to examination.
    Ex: Other catalogues and bibliographies only feature added entries under title where it is deemed that the author main entry heading is not likely to be obvious to the users.
    Ex: The report introduced a range of ideas which have influenced subsequent code construction.
    Ex: Here is a key paper by a non librarian which opens up a new and constructive approach to library purpose.
    Ex: This illustrates the puzzle that differential policies pose for users.
    Ex: Informative abstract present as much as possible of the quantitative or qualitative information contained in a document.
    Ex: Many libraries provide users with photocopies of contents pages of selected journals.
    Ex: A short score is a sketch made by a composer for an ensemble work, with the main features of the composition set out on a few staves.
    Ex: Author abstracts are the abstracts prepared by authors of the document that has been subjected to abstracting.
    Ex: Demands from clients will often throw up an occurrence of similar problems, revealing perhaps the operation of an injustice, the lack of an amenity in the neighbourhood, or simply bureaucratic inefficiency.
    Ex: The eventuality is, admittedly, remote but it is also necessary to render the imprint statement in this amount of detail.
    Ex: The art of documentation is the process by which the documentalist is enabled to put before the creative specialist the existing literature bearing on the subject of his investigation.
    Ex: The perfect librarian may be defined as one who produces the information a reader requires as soon as the reader asks for it.
    Ex: This list indicates the dates the reports were tabled and any further action take.
    Ex: Most publications are probably free distribution material and whilst that does not absolve the publishers from the obligation of legal deposit it is probable that many local authorities do not submit their materials.
    Ex: Here is an institution which knows, neither rank nor wealth within its walls, which stops the ignorant peer or the ignorant monarch at its threshold, and declines to unveil to him its treasures, or to waste time upon him, and yet welcomes the workman according to his knowledge or thirst for knowledge.
    Ex: Officially known as SOLEX, this exhibition showcases mainly IT based products for the legal profession.
    Ex: The book's date label is stamped in the usual way, and the reader must surrender one token for each book he is borrowing.
    Ex: There should be plenty of space to lay out all the books attractively and for people to move about without feeling too crowded.
    Ex: I don't need to tell those of you from higher education institutions how course management systems are starting to really proliferate and roll out in higher education.
    Ex: It is argued that newspaper reporting of bigamy constructs bigamists as being a threat to the institution of marriage.
    Ex: This address was tendered at the State Library of Victoria, Nov 88, to mark the retirement of Professor Jean Whyte.
    Ex: Derfer corroborated her: 'I'd be very proud of you if you could come up with the means to draft a model collection development policy'.
    Ex: Criticism is not appropriate in a style which aims to report, but not comment upon the content of the original document.
    Ex: They also intend to bring forward legislation to provide that the maximum amount of compensation should be £500,000.
    Ex: The result could be termed a full-provision data base -- a data base including both text and reference, and delivering much more than the 2 added together.
    * argumento que presenta sólo un punto de vista = one-sided argument.
    * oportunidad + presentarse = opportunity + knock, opportunity + present + Reflexivo.
    * presentar Algo desde una nueva óptica = throw + Nombre + in a new light, throw + new light on.
    * presentar Algo desde un nuevo ángulo = throw + new light on.
    * presentar argumentos a favor = make + a case for.
    * presentar argumentos a favor de = present + arguments in favour of.
    * presentar como = make + Nombre + out to be.
    * presentar conclusiones = provide + conclusions.
    * presentar conocimiento = package + knowledge.
    * presentar deficiencias = fall + short.
    * presentar de manera esquemática = give + overview.
    * presentar dentro de = package.
    * presentar Algo desde una nueva perspectiva = shed + new light on, throw + new light on.
    * presentar detalladamente = spread out.
    * presentar dificultad = present + difficulty.
    * presentar en forma de tabla = tabulate.
    * presentar en pantalla = call up, print + online, bring up, screen.
    * presentar evidencia a favor de = present + case for.
    * presentar información = submit + information, package + information.
    * presentar información de varios modos = repackage + information.
    * presentar la evolución de Algo = chart + the history.
    * presentar la oportunidad = allow + the opportunity to.
    * presentar las pruebas ante = lay + evidence before.
    * presentar peligro = present + danger.
    * presentar + Posesivo + respetos = pay + Posesivo + respects.
    * presentar posibilidades = present + possibilities, open (up) + avenues.
    * presentar problemas = present + problems.
    * presentar pruebas = give + evidence.
    * presentar resultados = report + findings, report + results.
    * presentar reto = defy.
    * presentarse = come in, manifest + Reflexivo, turn up, show up, unfold, come forward, come with.
    * presentarse a = stand for.
    * presentarse a una elección = stand for + election, run for + election.
    * presentarse desde una nueva perspectiva = stand in + a new light.
    * presentar (según) = cast (in/into).
    * presentarse una ocasión = occasion + arise.
    * presentar similitudes = share + similarities.
    * presentar una amenaza = pose + threat.
    * presentar una comunicación = deliver + paper, give + paper, present + paper.
    * presentar una contribución = present + contribution.
    * presentar una demanda = file + suit against, file + lawsuit against.
    * presentar una demanda judicial = take + legal action, take + legal proceedings.
    * presentar una denuncia = file + police report.
    * presentar una factura = submit + bill.
    * presentar una idea = make + point, put forward + idea, offer + perspective, present + idea.
    * presentar una imagen = present + picture, paint + a picture, present + an image.
    * presentar una oportunidad = afford + opportunity.
    * presentar una petición = submit + petition.
    * presentar una ponencia = give + paper, read + paper.
    * presentar una propuesta = submit + proposal.
    * presentar una queja = register + complaint, lodge + complaint, file + complaint, file + grievance.
    * presentar una reclamación = enter + complaint, place + claim, file + complaint.
    * presentar un argumento = advance + argument.
    * presentar una solicitud = submit + application.
    * presentar un aspecto = present + a picture.
    * presentar un aspecto de = wear + a look of.
    * presentar una visión = present + a picture.
    * presentar una visión global = give + overview, present + an overview, present + an overall picture, give + an overall picture, overview.
    * presentar un buen aspecto = look + good.
    * presentar un dilema = present + dilemma.
    * presentar un frente común = present + common front.
    * presentar un informe = give + a report, present + report.
    * presentar un obstáculo = pose + obstacle.
    * presentar un peligro = pose + danger.
    * presentar un problema = pose + problem, air + problem.
    * presentar un programa = present + programme.
    * presentar un proyecto = submit + project, present + project.
    * presentar un resumen = give + summary.
    * presentar un reto = present + challenge, provide + challenge.
    * presentar un riesgo = pose + risk.
    * presentar vestigios de = bear + traces of.
    * seleccionar y presentar en un documento = package.
    * volver a presentar = resubmit [re-submit].

    * * *
    presentar [A1 ]
    vt
    A
    1 (mostrar) to present
    un producto bien presentado a well-presented product
    2 (exponer por primera vez) ‹libro/disco› to launch
    presentó sus nuevos cuadros she presented her new paintings
    presentará su colección de otoño en Londres he will present o exhibit his autumn collection in London
    el nuevo XS34 se presentará al público en el salón de Turín the new XS34 will be on display (to the public) for the first time at the Turin show
    3 (entregar) ‹informe/solicitud› to submit
    le presenté el pasaporte para que me lo sellara I gave him my passport for stamping, I presented my passport to him for stamping
    tengo que presentar los planes mañana I have to submit o present the plans tomorrow
    4 (enseñar) to show
    hay que presentar el carné para entrar you have to show your membership card to get in
    5 ‹disculpas/excusas› to make
    fui a presentar mis respetos I went to pay my respects
    presentó su dimisión she handed in o submitted her resignation, she resigned
    pienso presentar una queja I intend filing o making a complaint
    presentaron una denuncia they reported the matter (to the police), they made an official complaint
    presentar pruebas to present evidence
    presentar cargos to bring charges
    presentar una demanda to bring a lawsuit
    6 ( Mil):
    presentar armas to present arms
    B (TV) ‹programa› to present, introduce
    C [ Vocabulary notes (Spanish) ] ‹persona› to introduce
    el director presentó al conferenciante the director introduced the speaker
    me presentó a su familia he introduced me to his family
    te presento a mi hermana I'd like you to meet my sister/this is my sister
    D
    (mostrar, ofrecer): el nuevo modelo presenta algunas novedades the latest model has o offers some new features
    presenta muchas ventajas para el consumidor it offers the consumer many advantages
    el paciente no presentaba síntomas de intoxicación the patient showed no signs of food poisoning
    el cadáver presenta un impacto de bala en el costado ( frml); there is a bullet wound in the side of the body, the body has a bullet wound in the side
    A
    1 (en un lugar) to turn up, appear
    se presentó en casa sin avisar he turned up o showed up o appeared at the house unexpectedly
    se presentó voluntariamente a la policía he turned himself in to the police
    tendrá que presentarse ante el juez he will have to appear before the judge
    2
    (a un concurso, examen): se presentó al examen she took o ( BrE) sat the exam
    me presenté al concurso I entered the competition
    se presenta como candidato independiente he's an independent candidate, he's running as an independent ( AmE), he's standing as an independent ( BrE)
    se presentó para el cargo de director he applied for the post of director
    B «dificultad/problema» to arise, come up, crop up ( colloq)
    estaré allí salvo que se presente algún impedimento I'll be there unless something crops up o comes up
    si se me presenta la oportunidad if I get the opportunity, if the opportunity arises
    el futuro se presenta prometedor the future looks promising
    el asunto se presenta muy mal things are looking very bad
    C (darse a conocer) to introduce oneself
    permítame que me presente allow me to introduce myself
    presentarse en sociedad to make one's debut (in society)
    * * *

     

    presentar ( conjugate presentar) verbo transitivo
    1

    b) ( exponer por primera vez) ‹libro/disco› to launch;

    ‹ obra de arte› to present;
    ‹ colección de moda› to present, exhibit
    c) ( entregar) ‹informe/solicitud› to submit;

    ‹ trabajo› to hand in;
    ‹ renuncia› to hand in, submit
    d) ( enseñar) ‹carnet/pasaporte› to show

    e) ‹disculpas/excusas› to make;

    ‹ queja› to file, make;
    ‹ cargos› to bring;

    presentar pruebas to present evidence
    f) (Mil):


    2 (TV) ‹ programa› to present, introduce
    3 ‹ persona› to introduce;

    4 ‹novedad/ventaja› to offer;
    ‹ síntoma› to show
    presentarse verbo pronominal
    1


    b) presentarse a algo ‹ a examen› to take sth;

    ‹ a concurso› to enter sth;
    ‹ a elecciones› to take part in sth;
    ◊ se presenta como candidato independiente he's running (AmE) o (BrE) he's standing as an independent;

    presentarse para un cargo to apply for a post
    2 [dificultad/problema] to arise, come up;
    [ oportunidad] to arise
    3 ( darse a conocer) to introduce oneself
    presentar verbo transitivo
    1 (un programa, pruebas, etc) to present
    2 (un producto) to launch
    3 (a una persona) to introduce
    4 (síntomas, características, etc) to have, show
    5 (disculpas) to give, present
    (condolencias) to give, pay
    6 (la dimisión) to hand in
    7 (una queja) to file, make
    ' presentar' also found in these entries:
    Spanish:
    alegar
    - compeler
    - convenir
    - dimisión
    - esquema
    - revestir
    - dar
    - demanda
    - denuncia
    - introducir
    - licitar
    - moción
    - queja
    - querella
    - renuncia
    English:
    bring forward
    - charge
    - claim
    - field
    - file
    - hand in
    - host
    - introduce
    - lay
    - lodge
    - make out
    - model
    - pay
    - present
    - press
    - produce
    - put in
    - put on
    - put up
    - register
    - render
    - replay
    - report
    - represent
    - rerun
    - respect
    - serve up
    - set out
    - show
    - slant
    - star
    - submit
    - table
    - this
    - bring
    - come
    - display
    - enter
    - exhibit
    - float
    - hand
    - notice
    - propose
    - put
    - retake
    - sponsor
    - tender
    * * *
    ♦ vt
    1. [mostrar, entregar] to present;
    [dimisión] to tender, to hand in; [tesis] to hand in, to submit; [pruebas, propuesta] to submit; [recurso, denuncia] to lodge; [solicitud] to make; [moción] to propose;
    presente su pasaporte en la ventanilla show your passport at the window;
    presentar cargos/una demanda contra alguien to bring charges/an action against sb;
    ¡presenten armas! [en ejército] present arms!;
    es un trabajo muy bien presentado it is a very well presented piece of work
    2. [dar a conocer] to introduce;
    me presentó a sus amigos she introduced me to her friends;
    Juan, te presento a Carmen Juan, this is Carmen;
    me parece que no nos han presentado I don't think we've been introduced;
    permítame que le presente a nuestra directora allow me to introduce you to our manager, I'd like you to meet our manager;
    no se conocían, pero yo los presenté they didn't know each other, but I introduced them (to each other)
    3. [anunciar] [programa de radio o televisión] to present;
    [espectáculo] to compere;
    la mujer que presenta el telediario the woman who reads the news on TV
    4. [proponer para competición] [obra] to enter;
    presentar una novela a un premio literario to enter a novel for a literary prize;
    presentar una película a concurso to enter a film at a film festival;
    presentar a alguien para algo to propose sb for sth, to put sb forward for sth;
    el partido presentará a la señora Cruz para la alcaldía the party is putting Mrs Cruz forward for the office of mayor, Mrs Cruz will be the party's candidate for the office of mayor
    5. [exhibir por primera vez] [planes, presupuestos] to present;
    [película] to premiere; [libro, disco] to launch;
    el club presentó a su último fichaje ante la prensa the club introduced its new signing to the press
    6. [ofrecer] [disculpas, excusas] to make;
    [respetos] to pay;
    nos presentó (sus) disculpas he made his excuses to us
    7. [tener] [aspecto, características, novedades] to have;
    este fondo de inversión presenta grandes ventajas this investment fund offers o has big advantages;
    la playa presenta un aspecto deplorable the beach is in a terrible state;
    presenta difícil solución it's going to be difficult to solve;
    el paciente presentaba síntomas de deshidratación the patient presented symptoms of dehydration
    * * *
    v/t
    1 TV present
    2 a alguien introduce
    3 producto launch
    4 solicitud submit
    * * *
    1) : to present, to show
    2) : to offer, to give
    3) : to submit (a document), to launch (a product)
    4) : to introduce (a person)
    * * *
    1. (personas) to introduce
    te presento a Iván this is Iván / meet Iván
    2. (programa, idea, propuesta) to present
    3. (un producto) to launch
    4. (señales, aspecto) to have / to show [pt. showed; pp. shown]

    Spanish-English dictionary > presentar

  • 7 модульный центр обработки данных (ЦОД)

    1. modular data center

     

    модульный центр обработки данных (ЦОД)
    -
    [Интент]

    Параллельные тексты EN-RU

    [ http://loosebolts.wordpress.com/2008/12/02/our-vision-for-generation-4-modular-data-centers-one-way-of-getting-it-just-right/]

    [ http://dcnt.ru/?p=9299#more-9299]

    Data Centers are a hot topic these days. No matter where you look, this once obscure aspect of infrastructure is getting a lot of attention. For years, there have been cost pressures on IT operations and this, when the need for modern capacity is greater than ever, has thrust data centers into the spotlight. Server and rack density continues to rise, placing DC professionals and businesses in tighter and tougher situations while they struggle to manage their IT environments. And now hyper-scale cloud infrastructure is taking traditional technologies to limits never explored before and focusing the imagination of the IT industry on new possibilities.

    В настоящее время центры обработки данных являются широко обсуждаемой темой. Куда ни посмотришь, этот некогда малоизвестный аспект инфраструктуры привлекает все больше внимания. Годами ИТ-отделы испытывали нехватку средств и это выдвинуло ЦОДы в центр внимания, в то время, когда необходимость в современных ЦОДах стала как никогда высокой. Плотность серверов и стоек продолжают расти, все больше усложняя ситуацию для специалистов в области охлаждения и организаций в их попытках управлять своими ИТ-средами. И теперь гипермасштабируемая облачная инфраструктура подвергает традиционные технологии невиданным ранее нагрузкам, и заставляет ИТ-индустрию искать новые возможности.

    At Microsoft, we have focused a lot of thought and research around how to best operate and maintain our global infrastructure and we want to share those learnings. While obviously there are some aspects that we keep to ourselves, we have shared how we operate facilities daily, our technologies and methodologies, and, most importantly, how we monitor and manage our facilities. Whether it’s speaking at industry events, inviting customers to our “Microsoft data center conferences” held in our data centers, or through other media like blogging and white papers, we believe sharing best practices is paramount and will drive the industry forward. So in that vein, we have some interesting news to share.

    В компании MicroSoft уделяют большое внимание изучению наилучших методов эксплуатации и технического обслуживания своей глобальной инфраструктуры и делятся результатами своих исследований. И хотя мы, конечно, не раскрываем некоторые аспекты своих исследований, мы делимся повседневным опытом эксплуатации дата-центров, своими технологиями и методологиями и, что важнее всего, методами контроля и управления своими объектами. Будь то доклады на отраслевых событиях, приглашение клиентов на наши конференции, которые посвящены центрам обработки данных MicroSoft, и проводятся в этих самых дата-центрах, или использование других средств, например, блоги и спецификации, мы уверены, что обмен передовым опытом имеет первостепенное значение и будет продвигать отрасль вперед.

    Today we are sharing our Generation 4 Modular Data Center plan. This is our vision and will be the foundation of our cloud data center infrastructure in the next five years. We believe it is one of the most revolutionary changes to happen to data centers in the last 30 years. Joining me, in writing this blog are Daniel Costello, my director of Data Center Research and Engineering and Christian Belady, principal power and cooling architect. I feel their voices will add significant value to driving understanding around the many benefits included in this new design paradigm.

    Сейчас мы хотим поделиться своим планом модульного дата-центра четвертого поколения. Это наше видение и оно будет основанием для инфраструктуры наших облачных дата-центров в ближайшие пять лет. Мы считаем, что это одно из самых революционных изменений в дата-центрах за последние 30 лет. Вместе со мной в написании этого блога участвовали Дэниел Костелло, директор по исследованиям и инжинирингу дата-центров, и Кристиан Белади, главный архитектор систем энергоснабжения и охлаждения. Мне кажется, что их авторитет придаст больше веса большому количеству преимуществ, включенных в эту новую парадигму проектирования.

    Our “Gen 4” modular data centers will take the flexibility of containerized servers—like those in our Chicago data center—and apply it across the entire facility. So what do we mean by modular? Think of it like “building blocks”, where the data center will be composed of modular units of prefabricated mechanical, electrical, security components, etc., in addition to containerized servers.

    Was there a key driver for the Generation 4 Data Center?

    Наши модульные дата-центры “Gen 4” будут гибкими с контейнерами серверов – как серверы в нашем чикагском дата-центре. И гибкость будет применяться ко всему ЦОД. Итак, что мы подразумеваем под модульностью? Мы думаем о ней как о “строительных блоках”, где дата-центр будет состоять из модульных блоков изготовленных в заводских условиях электрических систем и систем охлаждения, а также систем безопасности и т.п., в дополнение к контейнеризованным серверам.
    Был ли ключевой стимул для разработки дата-центра четвертого поколения?


    If we were to summarize the promise of our Gen 4 design into a single sentence it would be something like this: “A highly modular, scalable, efficient, just-in-time data center capacity program that can be delivered anywhere in the world very quickly and cheaply, while allowing for continued growth as required.” Sounds too good to be true, doesn’t it? Well, keep in mind that these concepts have been in initial development and prototyping for over a year and are based on cumulative knowledge of previous facility generations and the advances we have made since we began our investments in earnest on this new design.

    Если бы нам нужно было обобщить достоинства нашего проекта Gen 4 в одном предложении, это выглядело бы следующим образом: “Центр обработки данных с высоким уровнем модульности, расширяемости, и энергетической эффективности, а также возможностью постоянного расширения, в случае необходимости, который можно очень быстро и дешево развертывать в любом месте мира”. Звучит слишком хорошо для того чтобы быть правдой, не так ли? Ну, не забывайте, что эти концепции находились в процессе начальной разработки и создания опытного образца в течение более одного года и основываются на опыте, накопленном в ходе развития предыдущих поколений ЦОД, а также успехах, сделанных нами со времени, когда мы начали вкладывать серьезные средства в этот новый проект.

    One of the biggest challenges we’ve had at Microsoft is something Mike likes to call the ‘Goldilock’s Problem’. In a nutshell, the problem can be stated as:

    The worst thing we can do in delivering facilities for the business is not have enough capacity online, thus limiting the growth of our products and services.

    Одну из самых больших проблем, с которыми приходилось сталкиваться Майкрософт, Майк любит называть ‘Проблемой Лютика’. Вкратце, эту проблему можно выразить следующим образом:

    Самое худшее, что может быть при строительстве ЦОД для бизнеса, это не располагать достаточными производственными мощностями, и тем самым ограничивать рост наших продуктов и сервисов.

    The second worst thing we can do in delivering facilities for the business is to have too much capacity online.

    А вторым самым худшим моментом в этой сфере может слишком большое количество производственных мощностей.

    This has led to a focus on smart, intelligent growth for the business — refining our overall demand picture. It can’t be too hot. It can’t be too cold. It has to be ‘Just Right!’ The capital dollars of investment are too large to make without long term planning. As we struggled to master these interesting challenges, we had to ensure that our technological plan also included solutions for the business and operational challenges we faced as well.
    So let’s take a high level look at our Generation 4 design

    Это заставило нас сосредоточиваться на интеллектуальном росте для бизнеса — refining our overall demand picture. Это не должно быть слишком горячим. И это не должно быть слишком холодным. Это должно быть ‘как раз, таким как надо!’ Нельзя делать такие большие капиталовложения без долгосрочного планирования. Пока мы старались решить эти интересные проблемы, мы должны были гарантировать, что наш технологический план будет также включать решения для коммерческих и эксплуатационных проблем, с которыми нам также приходилось сталкиваться.
    Давайте рассмотрим наш проект дата-центра четвертого поколения

    Are you ready for some great visuals? Check out this video at Soapbox. Click here for the Microsoft 4th Gen Video.

    It’s a concept video that came out of my Data Center Research and Engineering team, under Daniel Costello, that will give you a view into what we think is the future.

    From a configuration, construct-ability and time to market perspective, our primary goals and objectives are to modularize the whole data center. Not just the server side (like the Chicago facility), but the mechanical and electrical space as well. This means using the same kind of parts in pre-manufactured modules, the ability to use containers, skids, or rack-based deployments and the ability to tailor the Redundancy and Reliability requirements to the application at a very specific level.


    Посмотрите это видео, перейдите по ссылке для просмотра видео о Microsoft 4th Gen:

    Это концептуальное видео, созданное командой отдела Data Center Research and Engineering, возглавляемого Дэниелом Костелло, которое даст вам наше представление о будущем.

    С точки зрения конфигурации, строительной технологичности и времени вывода на рынок, нашими главными целями и задачами агрегатирование всего дата-центра. Не только серверную часть, как дата-центр в Чикаго, но также системы охлаждения и электрические системы. Это означает применение деталей одного типа в сборных модулях, возможность использования контейнеров, салазок, или стоечных систем, а также возможность подстраивать требования избыточности и надежности для данного приложения на очень специфичном уровне.

    Our goals from a cost perspective were simple in concept but tough to deliver. First and foremost, we had to reduce the capital cost per critical Mega Watt by the class of use. Some applications can run with N-level redundancy in the infrastructure, others require a little more infrastructure for support. These different classes of infrastructure requirements meant that optimizing for all cost classes was paramount. At Microsoft, we are not a one trick pony and have many Online products and services (240+) that require different levels of operational support. We understand that and ensured that we addressed it in our design which will allow us to reduce capital costs by 20%-40% or greater depending upon class.


    Нашими целями в области затрат были концептуально простыми, но трудно реализуемыми. В первую очередь мы должны были снизить капитальные затраты в пересчете на один мегаватт, в зависимости от класса резервирования. Некоторые приложения могут вполне работать на базе инфраструктуры с резервированием на уровне N, то есть без резервирования, а для работы других приложений требуется больше инфраструктуры. Эти разные классы требований инфраструктуры подразумевали, что оптимизация всех классов затрат имеет преобладающее значение. В Майкрософт мы не ограничиваемся одним решением и располагаем большим количеством интерактивных продуктов и сервисов (240+), которым требуются разные уровни эксплуатационной поддержки. Мы понимаем это, и учитываем это в своем проекте, который позволит нам сокращать капитальные затраты на 20%-40% или более в зависимости от класса.

    For example, non-critical or geo redundant applications have low hardware reliability requirements on a location basis. As a result, Gen 4 can be configured to provide stripped down, low-cost infrastructure with little or no redundancy and/or temperature control. Let’s say an Online service team decides that due to the dramatically lower cost, they will simply use uncontrolled outside air with temperatures ranging 10-35 C and 20-80% RH. The reality is we are already spec-ing this for all of our servers today and working with server vendors to broaden that range even further as Gen 4 becomes a reality. For this class of infrastructure, we eliminate generators, chillers, UPSs, and possibly lower costs relative to traditional infrastructure.

    Например, некритичные или гео-избыточные системы имеют низкие требования к аппаратной надежности на основе местоположения. В результате этого, Gen 4 можно конфигурировать для упрощенной, недорогой инфраструктуры с низким уровнем (или вообще без резервирования) резервирования и / или температурного контроля. Скажем, команда интерактивного сервиса решает, что, в связи с намного меньшими затратами, они будут просто использовать некондиционированный наружный воздух с температурой 10-35°C и влажностью 20-80% RH. В реальности мы уже сегодня предъявляем эти требования к своим серверам и работаем с поставщиками серверов над еще большим расширением диапазона температур, так как наш модуль и подход Gen 4 становится реальностью. Для подобного класса инфраструктуры мы удаляем генераторы, чиллеры, ИБП, и, возможно, будем предлагать более низкие затраты, по сравнению с традиционной инфраструктурой.

    Applications that demand higher level of redundancy or temperature control will use configurations of Gen 4 to meet those needs, however, they will also cost more (but still less than traditional data centers). We see this cost difference driving engineering behavioral change in that we predict more applications will drive towards Geo redundancy to lower costs.

    Системы, которым требуется более высокий уровень резервирования или температурного контроля, будут использовать конфигурации Gen 4, отвечающие этим требованиям, однако, они будут также стоить больше. Но все равно они будут стоить меньше, чем традиционные дата-центры. Мы предвидим, что эти различия в затратах будут вызывать изменения в методах инжиниринга, и по нашим прогнозам, это будет выражаться в переходе все большего числа систем на гео-избыточность и меньшие затраты.

    Another cool thing about Gen 4 is that it allows us to deploy capacity when our demand dictates it. Once finalized, we will no longer need to make large upfront investments. Imagine driving capital costs more closely in-line with actual demand, thus greatly reducing time-to-market and adding the capacity Online inherent in the design. Also reduced is the amount of construction labor required to put these “building blocks” together. Since the entire platform requires pre-manufacture of its core components, on-site construction costs are lowered. This allows us to maximize our return on invested capital.

    Еще одно достоинство Gen 4 состоит в том, что он позволяет нам разворачивать дополнительные мощности, когда нам это необходимо. Как только мы закончим проект, нам больше не нужно будет делать большие начальные капиталовложения. Представьте себе возможность более точного согласования капитальных затрат с реальными требованиями, и тем самым значительного снижения времени вывода на рынок и интерактивного добавления мощностей, предусматриваемого проектом. Также снижен объем строительных работ, требуемых для сборки этих “строительных блоков”. Поскольку вся платформа требует предварительного изготовления ее базовых компонентов, затраты на сборку также снижены. Это позволит нам увеличить до максимума окупаемость своих капиталовложений.
    Мы все подвергаем сомнению

    In our design process, we questioned everything. You may notice there is no roof and some might be uncomfortable with this. We explored the need of one and throughout our research we got some surprising (positive) results that showed one wasn’t needed.

    В своем процессе проектирования мы все подвергаем сомнению. Вы, наверное, обратили внимание на отсутствие крыши, и некоторым специалистам это могло не понравиться. Мы изучили необходимость в крыше и в ходе своих исследований получили удивительные результаты, которые показали, что крыша не нужна.
    Серийное производство дата центров


    In short, we are striving to bring Henry Ford’s Model T factory to the data center. http://en.wikipedia.org/wiki/Henry_Ford#Model_T. Gen 4 will move data centers from a custom design and build model to a commoditized manufacturing approach. We intend to have our components built in factories and then assemble them in one location (the data center site) very quickly. Think about how a computer, car or plane is built today. Components are manufactured by different companies all over the world to a predefined spec and then integrated in one location based on demands and feature requirements. And just like Henry Ford’s assembly line drove the cost of building and the time-to-market down dramatically for the automobile industry, we expect Gen 4 to do the same for data centers. Everything will be pre-manufactured and assembled on the pad.

    Мы хотим применить модель автомобильной фабрики Генри Форда к дата-центру. Проект Gen 4 будет способствовать переходу от модели специализированного проектирования и строительства к товарно-производственному, серийному подходу. Мы намерены изготавливать свои компоненты на заводах, а затем очень быстро собирать их в одном месте, в месте строительства дата-центра. Подумайте о том, как сегодня изготавливается компьютер, автомобиль или самолет. Компоненты изготавливаются по заранее определенным спецификациям разными компаниями во всем мире, затем собираются в одном месте на основе спроса и требуемых характеристик. И точно так же как сборочный конвейер Генри Форда привел к значительному уменьшению затрат на производство и времени вывода на рынок в автомобильной промышленности, мы надеемся, что Gen 4 сделает то же самое для дата-центров. Все будет предварительно изготавливаться и собираться на месте.
    Невероятно энергоэффективный ЦОД


    And did we mention that this platform will be, overall, incredibly energy efficient? From a total energy perspective not only will we have remarkable PUE values, but the total cost of energy going into the facility will be greatly reduced as well. How much energy goes into making concrete? Will we need as much of it? How much energy goes into the fuel of the construction vehicles? This will also be greatly reduced! A key driver is our goal to achieve an average PUE at or below 1.125 by 2012 across our data centers. More than that, we are on a mission to reduce the overall amount of copper and water used in these facilities. We believe these will be the next areas of industry attention when and if the energy problem is solved. So we are asking today…“how can we build a data center with less building”?

    А мы упоминали, что эта платформа будет, в общем, невероятно энергоэффективной? С точки зрения общей энергии, мы получим не только поразительные значения PUE, но общая стоимость энергии, затраченной на объект будет также значительно снижена. Сколько энергии идет на производство бетона? Нам нужно будет столько энергии? Сколько энергии идет на питание инженерных строительных машин? Это тоже будет значительно снижено! Главным стимулом является достижение среднего PUE не больше 1.125 для всех наших дата-центров к 2012 году. Более того, у нас есть задача сокращения общего количества меди и воды в дата-центрах. Мы думаем, что эти задачи станут следующей заботой отрасли после того как будет решена энергетическая проблема. Итак, сегодня мы спрашиваем себя…“как можно построить дата-центр с меньшим объемом строительных работ”?
    Строительство дата центров без чиллеров

    We have talked openly and publicly about building chiller-less data centers and running our facilities using aggressive outside economization. Our sincerest hope is that Gen 4 will completely eliminate the use of water. Today’s data centers use massive amounts of water and we see water as the next scarce resource and have decided to take a proactive stance on making water conservation part of our plan.

    Мы открыто и публично говорили о строительстве дата-центров без чиллеров и активном использовании в наших центрах обработки данных технологий свободного охлаждения или фрикулинга. Мы искренне надеемся, что Gen 4 позволит полностью отказаться от использования воды. Современные дата-центры расходуют большие объемы воды и так как мы считаем воду следующим редким ресурсом, мы решили принять упреждающие меры и включить экономию воды в свой план.

    By sharing this with the industry, we believe everyone can benefit from our methodology. While this concept and approach may be intimidating (or downright frightening) to some in the industry, disclosure ultimately is better for all of us.

    Делясь этим опытом с отраслью, мы считаем, что каждый сможет извлечь выгоду из нашей методологией. Хотя эта концепция и подход могут показаться пугающими (или откровенно страшными) для некоторых отраслевых специалистов, раскрывая свои планы мы, в конечном счете, делаем лучше для всех нас.

    Gen 4 design (even more than just containers), could reduce the ‘religious’ debates in our industry. With the central spine infrastructure in place, containers or pre-manufactured server halls can be either AC or DC, air-side economized or water-side economized, or not economized at all (though the sanity of that might be questioned). Gen 4 will allow us to decommission, repair and upgrade quickly because everything is modular. No longer will we be governed by the initial decisions made when constructing the facility. We will have almost unlimited use and re-use of the facility and site. We will also be able to use power in an ultra-fluid fashion moving load from critical to non-critical as use and capacity requirements dictate.

    Проект Gen 4 позволит уменьшить ‘религиозные’ споры в нашей отрасли. Располагая базовой инфраструктурой, контейнеры или сборные серверные могут оборудоваться системами переменного или постоянного тока, воздушными или водяными экономайзерами, или вообще не использовать экономайзеры. Хотя можно подвергать сомнению разумность такого решения. Gen 4 позволит нам быстро выполнять работы по выводу из эксплуатации, ремонту и модернизации, поскольку все будет модульным. Мы больше не будем руководствоваться начальными решениями, принятыми во время строительства дата-центра. Мы сможем использовать этот дата-центр и инфраструктуру в течение почти неограниченного периода времени. Мы также сможем применять сверхгибкие методы использования электрической энергии, переводя оборудование в режимы критической или некритической нагрузки в соответствии с требуемой мощностью.
    Gen 4 – это стандартная платформа

    Finally, we believe this is a big game changer. Gen 4 will provide a standard platform that our industry can innovate around. For example, all modules in our Gen 4 will have common interfaces clearly defined by our specs and any vendor that meets these specifications will be able to plug into our infrastructure. Whether you are a computer vendor, UPS vendor, generator vendor, etc., you will be able to plug and play into our infrastructure. This means we can also source anyone, anywhere on the globe to minimize costs and maximize performance. We want to help motivate the industry to further innovate—with innovations from which everyone can reap the benefits.

    Наконец, мы уверены, что это будет фактором, который значительно изменит ситуацию. Gen 4 будет представлять собой стандартную платформу, которую отрасль сможет обновлять. Например, все модули в нашем Gen 4 будут иметь общепринятые интерфейсы, четко определяемые нашими спецификациями, и оборудование любого поставщика, которое отвечает этим спецификациям можно будет включать в нашу инфраструктуру. Независимо от того производите вы компьютеры, ИБП, генераторы и т.п., вы сможете включать свое оборудование нашу инфраструктуру. Это означает, что мы также сможем обеспечивать всех, в любом месте земного шара, тем самым сводя до минимума затраты и максимальной увеличивая производительность. Мы хотим создать в отрасли мотивацию для дальнейших инноваций – инноваций, от которых каждый сможет получать выгоду.
    Главные характеристики дата-центров четвертого поколения Gen4

    To summarize, the key characteristics of our Generation 4 data centers are:

    Scalable
    Plug-and-play spine infrastructure
    Factory pre-assembled: Pre-Assembled Containers (PACs) & Pre-Manufactured Buildings (PMBs)
    Rapid deployment
    De-mountable
    Reduce TTM
    Reduced construction
    Sustainable measures

    Ниже приведены главные характеристики дата-центров четвертого поколения Gen 4:

    Расширяемость;
    Готовая к использованию базовая инфраструктура;
    Изготовление в заводских условиях: сборные контейнеры (PAC) и сборные здания (PMB);
    Быстрота развертывания;
    Возможность демонтажа;
    Снижение времени вывода на рынок (TTM);
    Сокращение сроков строительства;
    Экологичность;

    Map applications to DC Class

    We hope you join us on this incredible journey of change and innovation!

    Long hours of research and engineering time are invested into this process. There are still some long days and nights ahead, but the vision is clear. Rest assured however, that we as refine Generation 4, the team will soon be looking to Generation 5 (even if it is a bit farther out). There is always room to get better.


    Использование систем электропитания постоянного тока.

    Мы надеемся, что вы присоединитесь к нам в этом невероятном путешествии по миру изменений и инноваций!

    На этот проект уже потрачены долгие часы исследований и проектирования. И еще предстоит потратить много дней и ночей, но мы имеем четкое представление о конечной цели. Однако будьте уверены, что как только мы доведем до конца проект модульного дата-центра четвертого поколения, мы вскоре начнем думать о проекте дата-центра пятого поколения. Всегда есть возможность для улучшений.

    So if you happen to come across Goldilocks in the forest, and you are curious as to why she is smiling you will know that she feels very good about getting very close to ‘JUST RIGHT’.

    Generations of Evolution – some background on our data center designs

    Так что, если вы встретите в лесу девочку по имени Лютик, и вам станет любопытно, почему она улыбается, вы будете знать, что она очень довольна тем, что очень близко подошла к ‘ОПИМАЛЬНОМУ РЕШЕНИЮ’.
    Поколения эволюции – история развития наших дата-центров

    We thought you might be interested in understanding what happened in the first three generations of our data center designs. When Ray Ozzie wrote his Software plus Services memo it posed a very interesting challenge to us. The winds of change were at ‘tornado’ proportions. That “plus Services” tag had some significant (and unstated) challenges inherent to it. The first was that Microsoft was going to evolve even further into an operations company. While we had been running large scale Internet services since 1995, this development lead us to an entirely new level. Additionally, these “services” would span across both Internet and Enterprise businesses. To those of you who have to operate “stuff”, you know that these are two very different worlds in operational models and challenges. It also meant that, to achieve the same level of reliability and performance required our infrastructure was going to have to scale globally and in a significant way.

    Мы подумали, что может быть вам будет интересно узнать историю первых трех поколений наших центров обработки данных. Когда Рэй Оззи написал свою памятную записку Software plus Services, он поставил перед нами очень интересную задачу. Ветра перемен двигались с ураганной скоростью. Это окончание “plus Services” скрывало в себе какие-то значительные и неопределенные задачи. Первая заключалась в том, что Майкрософт собиралась в еще большей степени стать операционной компанией. Несмотря на то, что мы управляли большими интернет-сервисами, начиная с 1995 г., эта разработка подняла нас на абсолютно новый уровень. Кроме того, эти “сервисы” охватывали интернет-компании и корпорации. Тем, кому приходится всем этим управлять, известно, что есть два очень разных мира в области операционных моделей и задач. Это также означало, что для достижения такого же уровня надежности и производительности требовалось, чтобы наша инфраструктура располагала значительными возможностями расширения в глобальных масштабах.

    It was that intense atmosphere of change that we first started re-evaluating data center technology and processes in general and our ideas began to reach farther than what was accepted by the industry at large. This was the era of Generation 1. As we look at where most of the world’s data centers are today (and where our facilities were), it represented all the known learning and design requirements that had been in place since IBM built the first purpose-built computer room. These facilities focused more around uptime, reliability and redundancy. Big infrastructure was held accountable to solve all potential environmental shortfalls. This is where the majority of infrastructure in the industry still is today.

    Именно в этой атмосфере серьезных изменений мы впервые начали переоценку ЦОД-технологий и технологий вообще, и наши идеи начали выходить за пределы общепринятых в отрасли представлений. Это была эпоха ЦОД первого поколения. Когда мы узнали, где сегодня располагается большинство мировых дата-центров и где находятся наши предприятия, это представляло весь опыт и навыки проектирования, накопленные со времени, когда IBM построила первую серверную. В этих ЦОД больше внимания уделялось бесперебойной работе, надежности и резервированию. Большая инфраструктура была призвана решать все потенциальные экологические проблемы. Сегодня большая часть инфраструктуры все еще находится на этом этапе своего развития.

    We soon realized that traditional data centers were quickly becoming outdated. They were not keeping up with the demands of what was happening technologically and environmentally. That’s when we kicked off our Generation 2 design. Gen 2 facilities started taking into account sustainability, energy efficiency, and really looking at the total cost of energy and operations.

    Очень быстро мы поняли, что стандартные дата-центры очень быстро становятся устаревшими. Они не поспевали за темпами изменений технологических и экологических требований. Именно тогда мы стали разрабатывать ЦОД второго поколения. В этих дата-центрах Gen 2 стали принимать во внимание такие факторы как устойчивое развитие, энергетическая эффективность, а также общие энергетические и эксплуатационные.

    No longer did we view data centers just for the upfront capital costs, but we took a hard look at the facility over the course of its life. Our Quincy, Washington and San Antonio, Texas facilities are examples of our Gen 2 data centers where we explored and implemented new ways to lessen the impact on the environment. These facilities are considered two leading industry examples, based on their energy efficiency and ability to run and operate at new levels of scale and performance by leveraging clean hydro power (Quincy) and recycled waste water (San Antonio) to cool the facility during peak cooling months.

    Мы больше не рассматривали дата-центры только с точки зрения начальных капитальных затрат, а внимательно следили за работой ЦОД на протяжении его срока службы. Наши объекты в Куинси, Вашингтоне, и Сан-Антонио, Техас, являются образцами наших ЦОД второго поколения, в которых мы изучали и применяли на практике новые способы снижения воздействия на окружающую среду. Эти объекты считаются двумя ведущими отраслевыми примерами, исходя из их энергетической эффективности и способности работать на новых уровнях производительности, основанных на использовании чистой энергии воды (Куинси) и рециклирования отработанной воды (Сан-Антонио) для охлаждения объекта в самых жарких месяцах.

    As we were delivering our Gen 2 facilities into steel and concrete, our Generation 3 facilities were rapidly driving the evolution of the program. The key concepts for our Gen 3 design are increased modularity and greater concentration around energy efficiency and scale. The Gen 3 facility will be best represented by the Chicago, Illinois facility currently under construction. This facility will seem very foreign compared to the traditional data center concepts most of the industry is comfortable with. In fact, if you ever sit around in our container hanger in Chicago it will look incredibly different from a traditional raised-floor data center. We anticipate this modularization will drive huge efficiencies in terms of cost and operations for our business. We will also introduce significant changes in the environmental systems used to run our facilities. These concepts and processes (where applicable) will help us gain even greater efficiencies in our existing footprint, allowing us to further maximize infrastructure investments.

    Так как наши ЦОД второго поколения строились из стали и бетона, наши центры обработки данных третьего поколения начали их быстро вытеснять. Главными концептуальными особенностями ЦОД третьего поколения Gen 3 являются повышенная модульность и большее внимание к энергетической эффективности и масштабированию. Дата-центры третьего поколения лучше всего представлены объектом, который в настоящее время строится в Чикаго, Иллинойс. Этот ЦОД будет выглядеть очень необычно, по сравнению с общепринятыми в отрасли представлениями о дата-центре. Действительно, если вам когда-либо удастся побывать в нашем контейнерном ангаре в Чикаго, он покажется вам совершенно непохожим на обычный дата-центр с фальшполом. Мы предполагаем, что этот модульный подход будет способствовать значительному повышению эффективности нашего бизнеса в отношении затрат и операций. Мы также внесем существенные изменения в климатические системы, используемые в наших ЦОД. Эти концепции и технологии, если применимо, позволят нам добиться еще большей эффективности наших существующих дата-центров, и тем самым еще больше увеличивать капиталовложения в инфраструктуру.

    This is definitely a journey, not a destination industry. In fact, our Generation 4 design has been under heavy engineering for viability and cost for over a year. While the demand of our commercial growth required us to make investments as we grew, we treated each step in the learning as a process for further innovation in data centers. The design for our future Gen 4 facilities enabled us to make visionary advances that addressed the challenges of building, running, and operating facilities all in one concerted effort.

    Это определенно путешествие, а не конечный пункт назначения. На самом деле, наш проект ЦОД четвертого поколения подвергался серьезным испытаниям на жизнеспособность и затраты на протяжении целого года. Хотя необходимость в коммерческом росте требовала от нас постоянных капиталовложений, мы рассматривали каждый этап своего развития как шаг к будущим инновациям в области дата-центров. Проект наших будущих ЦОД четвертого поколения Gen 4 позволил нам делать фантастические предположения, которые касались задач строительства, управления и эксплуатации объектов как единого упорядоченного процесса.


    Тематики

    Синонимы

    EN

    Русско-английский словарь нормативно-технической терминологии > модульный центр обработки данных (ЦОД)

  • 8 navegación

    f.
    navigation, sailing, shipping.
    * * *
    1 (arte) navigation
    2 (tráfico) shipping
    3 (viaje por mar) sea journey, voyage
    \
    instrumento de navegación instrument of navigation
    navegación aérea air navigation, flying
    navegación fluvial river navigation
    * * *
    noun f.
    * * *
    SF (=arte) navigation; (=buques) ships pl, shipping; (=viaje) sea voyage

    navegación aérea — (=acción) aerial navigation; (=tráfico) air traffic

    navegación por satélite — satnav *, satellite navigation

    * * *
    a) ( acción de navegar) navigation; ( tráfico) shipping
    b) (arc) ( viaje) voyage
    * * *
    = navigation, navigation, sailing, piloting.
    Ex. The function of the index is examined both technically and philosophically as a tool for navigation and spatial orientation in large textual data bases.
    Ex. Satellite-based communication systems are being used for surveillance and navigation purposes.
    Ex. Some people read Homer in the original, some build boats and read about sailing = Lo mismo que algunas personas leen a Homero en su versión original, otros construyen barcos y leen sobre navegación.
    Ex. When the weather is as clear as a bell, finding a runway is easy, even with relatively little piloting experience.
    ----
    * canal de navegación = shipping canal.
    * carta de navegación = aeronautical chart, navigational chart.
    * ciencias de la navegación = nautical science.
    * diario de navegación = logbook [log book].
    * herramienta de navegación = navigation tool.
    * herramientas de navegación = navigation facilities.
    * libro de navegación = book of navigation.
    * mapa de navegación marítima = sea chart.
    * navegación a vela = yachting, sailing.
    * navegación costera = coastal navigation.
    * navegación por el conocimiento = knowledge navigation.
    * navegación por Internet = surfing.
    * programa de navegación por las redes = network navigator.
    * relativo a la navegación por un entorno gráfico = navigational.
    * técnica de navegación = navigational technique.
    * * *
    a) ( acción de navegar) navigation; ( tráfico) shipping
    b) (arc) ( viaje) voyage
    * * *
    = navigation, navigation, sailing, piloting.

    Ex: The function of the index is examined both technically and philosophically as a tool for navigation and spatial orientation in large textual data bases.

    Ex: Satellite-based communication systems are being used for surveillance and navigation purposes.
    Ex: Some people read Homer in the original, some build boats and read about sailing = Lo mismo que algunas personas leen a Homero en su versión original, otros construyen barcos y leen sobre navegación.
    Ex: When the weather is as clear as a bell, finding a runway is easy, even with relatively little piloting experience.
    * canal de navegación = shipping canal.
    * carta de navegación = aeronautical chart, navigational chart.
    * ciencias de la navegación = nautical science.
    * diario de navegación = logbook [log book].
    * herramienta de navegación = navigation tool.
    * herramientas de navegación = navigation facilities.
    * libro de navegación = book of navigation.
    * mapa de navegación marítima = sea chart.
    * navegación a vela = yachting, sailing.
    * navegación costera = coastal navigation.
    * navegación por el conocimiento = knowledge navigation.
    * navegación por Internet = surfing.
    * programa de navegación por las redes = network navigator.
    * relativo a la navegación por un entorno gráfico = navigational.
    * técnica de navegación = navigational technique.

    * * *
    1 (acción de navegar) navigation; (tráfico) shipping
    3 ( arc) (viaje) voyage
    4
    ( Inf) tb navegación por or en Internet or la Red or la web surfing the Internet o the Web, netsurfing
    programa/software de navegación navigation program/software
    Compuestos:
    (vuelo) flight; (determinación del rumbo) aerial navigation
    celestial navigation, astronavigation
    sailing
    (acción de navegar) coasting; (tráfico) coastal shipping; (determinación del rumbo) coastal navigation
    coastal navigation
    space travel
    river navigation
    ● navegación inercial or por inercia
    inertial navigation
    submarine o underwater navigation
    * * *

    navegación sustantivo femenino ( acción de navegar) navigation;
    ( tráfico) shipping;

    navegación fluvial river navigation
    navegación sustantivo femenino navigation

    ' navegación' also found in these entries:
    English:
    chart
    - navigation
    - sailing
    - shipping
    - shipping lane
    - yachting
    - log
    * * *
    1. [en río, mar, aire] navigation
    navegación aérea air navigation;
    navegación de altura ocean navigation;
    navegación de cabotaje coastal navigation;
    navegación fluvial river navigation;
    navegación marítima sea navigation;
    navegación por satélite satellite navigation;
    2. Informát [en página web] browsing;
    una página de fácil navegación a page that is easy to navigate;
    * * *
    f navigation
    * * *
    navegación nf, pl - ciones : navigation
    * * *

    Spanish-English dictionary > navegación

  • 9 aplicación

    f.
    1 application, program, software, application software.
    2 application, utilization, use, implementation.
    3 administration, application, dosification, dosing.
    4 application form, form, application.
    5 diligence, attention, studiousness, application.
    6 appliqué, decoration, trimming.
    7 application, use of a physical means.
    * * *
    1 (gen) application
    2 (adorno) appliqué
    * * *
    noun f.
    2) diligence, dedication
    * * *
    SF
    1) (=uso externo) (tb Med) use, application frm
    2) (=puesta en práctica) [de acuerdo, impuesto, medida] implementation, application; [de método] implementation; [de sanción, castigo] imposition

    en aplicación de la ley 9/1968 — in accordance with law 9/1968

    3) (=dedicación) application

    le falta aplicación en el estudio — he doesn't apply himself enough to his studies, le lacks application in his studies frm

    4) (=aplique) (Cos) appliqué

    una puerta con hermosas aplicaciones de metal — (Téc) a door with beautiful metalwork overlay

    5) pl aplicaciones (=usos) (Téc) uses, applications; (Com, Inform) applications
    6) Bol, Col, Ven (=solicitud) application
    * * *
    1)
    a) (frml) ( de crema) application (frml); (de pintura, barniz) coat, application (frml)
    b) (frml) ( de sanción) imposition; (de técnica, método) application; (de plan, medida) implementation

    en este caso será de aplicación el artículo 12 — (frml) in this case article 12 shall apply (frml)

    2) ( uso práctico) application, use
    3) (esfuerzo, dedicación) application
    4) (Andes) ( solicitud) application
    * * *
    1)
    a) (frml) ( de crema) application (frml); (de pintura, barniz) coat, application (frml)
    b) (frml) ( de sanción) imposition; (de técnica, método) application; (de plan, medida) implementation

    en este caso será de aplicación el artículo 12 — (frml) in this case article 12 shall apply (frml)

    2) ( uso práctico) application, use
    3) (esfuerzo, dedicación) application
    4) (Andes) ( solicitud) application
    * * *
    aplicación1
    1 = application, enforcement, take-up, uptake, operationalisation [operationalization, -USA], enablement.

    Ex: The most appropriate type of abstract must be chosen in accordance with the requirements of each individual application.

    Ex: These are less tangible, more dependent upon personal motivation and inclination, and not amenable to enforcement through institutional policies.
    Ex: One of the reasons for the relatively slow take-up of microcomputers in libraries in the Philippines is the problem caused by the multitude of languages used in the island group.
    Ex: The project is investigating the factors which promote or inhibit the uptake of computers in primary schools.
    Ex: Theories and models from the behavioural sciences offer a sound basis for understanding the problems with conceptualization and operationalization of user satisfaction.
    Ex: The aim was that the edge would come from leveraging its knowledge assets, ie the leadership and expertise of its worldwide work force, through information technology enablement.
    * adaptar a una aplicación concreta = harness.
    * adaptarse a una aplicación = suit + application.
    * ámbito de aplicación = field of application.
    * aplicación a tareas bibliotecarias = library application.
    * aplicación práctica = application, practical application.
    * área de aplicación comercial = niche.
    * campo de aplicación = field of application, scope of application, field of practice, area of application.
    * de aplicación específica a un equipo de ordenador = hardware-based.
    * de aplicación general = general-purpose, of general application.
    * encontrar aplicación práctica = find + application.
    * hacerse a medida de una aplicación práctica concreta = tailor to + application.
    * mala aplicación = misapplication.
    * orientado hacia una aplicación práctica concreta = application-oriented.
    * relación de aplicación = bias relation.
    * según la aplicación de reglas = rule-governed.

    aplicación2
    2 = industry, diligence.

    Ex: In fact, the terms of the contrast are highly ambivalent: order vs. anarchy, liberty vs. despotism, or industry vs. sloth, and also dissimulation vs. honesty.

    Ex: If these guidelines are not adhered to with due care and diligence, financial damage to the library can result = Si no se siguen estas directrices con el debido cuidado y atención, el resultado puede ser que la biblioteca sufra daños económicos.
    * con aplicación = industriously, studiously.

    aplicación3
    3 = software system, software program, app [application].

    Ex: READS is a software system designed to run on a local area network (LAN) file server and accessed by multiple workstation.

    Ex: In the Internet, a client is a software program that is used to contact and obtain data from a server software program on another computer, often across a great distance.
    Ex: I am sick and tired of how Win 2000 runs DOS apps, but I need Windows for other reasons.
    * aplicación comercial = commercial application, business application.
    * aplicación de código abierto = open source software.
    * aplicación didáctica = courseware.
    * aplicaciones = toolbox [tool box].
    * aplicaciones comerciales = proprietary software, commercial software.
    * aplicaciones ofimáticas = office software.
    * aplicaciones para la información = information solutions.
    * aplicación filtro = filtering software.
    * aplicación informática = application(s) program(me), application(s) software, computer application.
    * aplicación multimedia = multimedia application.
    * aplicación web = Web application.
    * apoyo técnico de aplicaciones informáticas = software support.
    * dedicado a una aplicación específica = dedicated.
    * desarrollo de aplicaciones = software development, application development.
    * productor de aplicaciones informáticas = application(s) developer.
    * programa de montaje de aplicaciones = software packager.
    * programador de aplicaciones bibliotecarias = library software developer.

    * * *
    A
    1 ( frml) (de crema, pomada) application ( frml); (de pintura, barniz) coat, application ( frml)
    le hicieron aplicaciones de cobalto he was given o he had radiotherapy
    2 (de una pena, sanción) imposition; (de una técnica, un método) application; (de un plan, una medida) implementation
    en este caso será de aplicación el artículo 12 ( frml); in this case article 12 shall apply ( frml)
    la aplicación de los métodos audiovisuales en la enseñanza de idiomas the use of audiovisual techniques in language teaching
    B (uso práctico) application, use
    las aplicaciones pacíficas de la energía nuclear the applications o uses of nuclear energy for peaceful purposes
    C (esfuerzo, dedicación) application aplicación A algo application TO sth
    su aplicación al estudio the application she shows/has shown to her studies
    D ( Com, Inf) application
    paquete de aplicaciones applications package
    Compuesto:
    software application
    E ( Andes) (solicitud) application
    F aplicaciones fpl (en costura) appliqué work
    * * *

     

    aplicación sustantivo femenino
    1
    a) (frml) ( de crema) application (frml);

    (de pintura, barniz) coat, application (frml)

    (de técnica, método) application;
    (de plan, medida) implementation
    2 ( uso práctico) application, use
    3 (Col, Ven) ( solicitud) application
    4 (Inf) application
    aplicación sustantivo femenino application
    ' aplicación' also found in these entries:
    Spanish:
    práctica
    - uso
    - ámbito
    - diligencia
    English:
    app
    - application
    - enforcement
    - industry
    - studiously
    - studiousness
    * * *
    1. [de técnica, teoría] application;
    [de plan] implementation; [de sanciones] imposition;
    una ley de aplicación inmediata a law that will take immediate effect;
    exigen la aplicación del acuerdo de paz they are demanding that the peace agreement should be implemented
    2. [de pomada, vendaje, pintura] application
    3. [uso] application, use;
    las aplicaciones de la energía hidroeléctrica the different applications o uses of hydroelectric power
    4. [al estudio] application;
    su aplicación al trabajo the application she shows in her work
    5. [adorno] appliqué
    6. Informát application
    7. Mat map, function
    8. Andes [solicitud] application
    * * *
    f application
    * * *
    1) : application
    2) : diligence, dedication
    * * *
    aplicación n application

    Spanish-English dictionary > aplicación

  • 10 problema

    m.
    1 problem.
    el problema del terrorismo the terrorist problem, the problem of terrorism
    los niños no causan más que problemas children cause nothing but trouble o problems
    el problema es que no nos queda tiempo the problem o thing is that we don't have any time left
    2 glitch, bug.
    * * *
    1 problem
    \
    dar problemas to cause problems
    tener problemas con to have trouble with
    * * *
    noun m.
    * * *
    1. SM
    1) (=dificultad) problem

    ¿tienes problemas de dinero? — do you have any money worries o financial problems?

    2) (Mat) problem
    3) Méx (=accidente) accident, mishap
    2.
    ADJ INV (=problemático) problem antes de s
    * * *
    masculino problem

    resolver/solucionar un problema — to solve a problem

    si se enteran, vas a tener problemas — if they find out, you'll be in trouble

    no te hagas problema — (AmL) don't worry about it

    * * *
    = dilemma, issue, problem, rough spot, snag, bug, hitch, mischief, trouble spot, tyranny, catch, tribulation, show-stopper [showstopper], hassle, rub, kink, kicker.
    Ex. Unfortunately documents which present dilemmas in the selection of author headings are present in even the smallest library collections.
    Ex. These issues are reviewed more thoroughly in chapter 10.
    Ex. When the cataloguer turns to the description of a piece of music a common problem will be the absence of a title page to be used as the chief source of information.
    Ex. But despite the many catalog worlds, and herein lies the rub -- or at least a rough spot -- we have been proceeding on the assumption that the catalog exists in the form of the data distributed by the Library of Congress.
    Ex. Another snag was the existence of entrenched divergent cataloguing habits among the multinational staff, not to mention their fear of the unknown = Otro problema era la existencia de hábitos de catalogación divergentes y ya arraigados entre el personal multinacional, por no mencionar su miedo hacia lo desconocido.
    Ex. A bug is an error in a program or an equipment malfunction.
    Ex. Keeping pace with these changes may well mean more work than the seven year hitch experienced by DC users.
    Ex. The author discusses the characteristics of programs designed specifically to cause mischief to computer owners who download and run the programs = El autor analiza las características de los programas diseñados específicamente para causar problemas a los propietarios de ordenadores que los descargan y ejecutan.
    Ex. The statistics collected served as an early warning signal for trouble spots.
    Ex. Information access, such as satellites, overcomes the tyranny of distance for students, teachers and researchers in Australasia.
    Ex. Whilst these achievements are commendable, there is a catch in them -- there can be used to 'intensify' the economic exploitation of women.
    Ex. The author discusses the tribulations of equipment selection.
    Ex. In engineering use, a show-stopper is usually some aspect of a project that is so bad that it threatens to cancel the project unless it is corrected.
    Ex. The article is entitled 'How to implement electronic subscriptions replacing the routing list hassle'.
    Ex. But as elegant and efficient as this seems, this strategy has a rub - you've got to have technology to track shipments, since you're ultimately responsible for purchases, warranties and returns.
    Ex. However, like any emerging technology, there are still a few kinks in the system.
    Ex. The kicker is that this type of money transfer service is less convenient and no safer than many online money transfers.
    ----
    * abordar un problema = address + problem.
    * acción de averiguar y resolver problemas = troubleshooting [trouble shooting].
    * aclarar un problema = clear up + problem.
    * acometer un problema = attack + problem.
    * acosado por problemas = beset with + problems.
    * acotar un problema = delineate + problem.
    * acuciado por problemas = embattled.
    * acumular problemas = build up + problems.
    * afrontar los problemas cotidianos = grapple with + life's problems.
    * afrontar un problema = face + issue, confront + problem.
    * agobiado por problemas = beset with + problems.
    * agravar un problema = compound + problem.
    * ahí está el problema = herein lies the rub, there's the rub.
    * anticipar un problema = anticipate + problem.
    * aprendizaje a través de solución de problemas = problem based learning.
    * aquejado de problemas = troubled, ailing.
    * arreglar un problema = fix + problem.
    * asediado por problemas = embattled.
    * atajar un problema = grapple with + problem.
    * ausencia de problemas = smoothness.
    * averiguar un problema = investigate + problem.
    * buscar problemas = ask for + trouble, court + disaster, make + trouble.
    * capacidad de resolver problemas = problem-solving ability.
    * causar problemas = cause + problems, cause + trouble, make + trouble.
    * combatir un problema = combat + problem.
    * complicar un problema = compound + problem.
    * con problemas = in hot water.
    * con problemas de aprendizaje = learning disabled.
    * con problemas de lectura = print disabled.
    * con problemas de vista = vision impaired.
    * con problemas visuales = vision impaired.
    * considerar un problema = consider + problem.
    * convertirse en un gran problema = grow to + a crisis.
    * corregir un problema = correct + problem.
    * crear problemas = make + waves, build up + problems, make + trouble.
    * darle vueltas a un problema = puzzle over + problem.
    * dar lugar a problemas = give + rise to problems.
    * dar problemas = play up.
    * darse cuenta de un problema = alight on + problem.
    * debatir un problema = discuss + problem.
    * decisión precipitada ante un problema = crisis decision.
    * dedicar + Posesivo + atención a un problema = turn + Posesivo + attention to problem.
    * definición del problema = problem statement.
    * definir un problema = delineate + problem.
    * delimitar un problema = isolate + problem.
    * desarrollarse sin problemas = go + smoothly.
    * detectar un problema = spot + problem, spot + trouble.
    * diagnosticar el problema = diagnose + problem.
    * dirigir + Posesivo + atención a un problema = turn + Posesivo + attention to problem.
    * el final de los problemas = the light at the end of the tunnel.
    * eliminar un problema = sweep away + problem, work out + kink.
    * el problema no es el qué, sino el cómo = the devil (is/lives) in the details.
    * el problema obvio = the elephant in the room.
    * el único problema = a fly in the soup, the fly in the ointment.
    * el verdadero problema = the elephant in the room.
    * encontrar el modo de paliar un problema = find + way (a)round + problem.
    * encontrarse con problemas = run into + trouble.
    * encontrarse con un problema = encounter + problem, meet with + problem, run up against + issue, come across + problem.
    * enfrentarse a un problema = challenge + threat, confront + question, cope with + problem, face + issue, face + issue, face + problem, come up against + problem, struggle with + issue, wrestle with + problem, deal with + issue.
    * enfrentarse un problema = confront + problem, experience + problem.
    * enunciado del problema = problem statement.
    * esbozar un problema = outline + problem.
    * ese es el problema = herein lies the rub, there's the rub.
    * esquivar el problema = sidestep + the problem.
    * esquivar un problema = duck + issue.
    * estar lleno de problemas = bristle with + problems.
    * evitar problemas = stay out of + trouble.
    * evitar un problema = avoid + problem.
    * exarcerbar un problema = inflame + problem.
    * exteriorizar un problema = externalise + problem.
    * forma de evitar un problema = way round + problem.
    * franquear un problema = negotiate + problem.
    * hacer frente a un problema = attack + problem, combat + problem, wrestle with + problem.
    * identificar un problema = outline + problem, identify + problem, isolate + problem.
    * ilustrar un problema = illustrate + problem.
    * investigar un problema = investigate + problem.
    * libre de problemas = problem-free, trouble free [trouble-free].
    * lleno de problemas = plagued with problems, problem-ridden.
    * llevarse los problemas a casa = bring + problems home.
    * mencionar un problema = bring + problem up.
    * meterse en problemas = get into + trouble.
    * mitigar un problema = alleviate + problem.
    * no haber problemas = be fine.
    * no tener ningún problema con = be okay with.
    * no terminar nunca de tener problemas con = have + no end of problems with.
    * obtener el enunciado del problema = elicit + problem statement.
    * ocasionar problemas = cause + problems.
    * orientado hacia la resolución de problemas = problem-orientated, problem-oriented.
    * paliar problemas = minimise + problems.
    * paliar un problema = solve + problem.
    * percatarse de un problema = alight on + problem.
    * persona con problemas de aprendizaje = learning disabled person.
    * persona o mecanismo que resuelve problemas = solver.
    * persona que intenta averiguar y resolver problemas = troubleshooter.
    * personas con problemas de lectura = print handicapped people, print handicapped, the.
    * personas con problemas de lectura de la letra impresa = print disabled people.
    * personas con problemas de vista, las = visually impaired, the, visually disabled, the, visually handicapped, the, visually impaired people (VIPs), visually challenged, the.
    * personas con problemas mentales = disturbed people.
    * persona sin problemas de vista = sighted person.
    * plagado de problemas = plagued with problems, problem-wracked [problem-racked].
    * plagar de problemas = bedevil.
    * plantear un problema = pose + dilemma, pose + problem, raise + question, raise + concern, raise + issue, raise + problem, articulate + problem.
    * presentar problemas = present + problems.
    * presentar un problema = pose + problem, air + problem.
    * prestar + Posesivo + atención a un problema = turn + Posesivo + attention to problem.
    * problema + acosar = problem + dog.
    * problema acuciante = pressing problem.
    * problema + acuciar = problem + beset.
    * problema + afectar = problem + afflict, problem + plague.
    * problema + afligir = problem + afflict.
    * problema + agravar = problem + exacerbate.
    * problema alimenticio = eating problem.
    * problema asociado = attending problem.
    * problema auditivo = hearing problem.
    * problema + avecinarse = problem + lie ahead.
    * problema cada vez mayor = growing problem.
    * problema con el alcohol = drinking problem.
    * problema con los niños de la llave = latchkey problem.
    * problema cotidiano = daily problem.
    * problema de comportamiento = behaviour problem, behavioural problem.
    * problema de espacio = space problem.
    * problema de imagen = image problem.
    * problema de peso = weight problem.
    * problema de salud = health problem.
    * problema + desaparecer = problem + go away.
    * problema de seguridad = security problem.
    * problema diario = daily problem.
    * problema difícil = thorny problem, poser.
    * problema difícil de resolver = tough nut to crack, hard nut to crack, brain tickler.
    * problema doméstico = domestic problem.
    * problema económico = economic problem, financial problem.
    * problema + encontrarse = problem + lie.
    * problema en la escuela = school problem.
    * problema escolar = school problem.
    * problema espinoso = knotty problem, thorny problem, thorny issue, thorny question.
    * problema + estar = problem + lie, problem + come with.
    * problema familiar = family problem.
    * problema informático = computing problem.
    * problema inicial = startup problem.
    * problema insoluble = insoluble problem.
    * problema monetario = monetary problem.
    * problema motriz = motor disability.
    * problema peliagudo = thorny problem, thorny issue, thorny question.
    * problema + persistir = problem + persist.
    * problema personal = personal problem.
    * problema + plantearse = problem + come with.
    * problema práctico = practical problem.
    * problema racial = racial conflict, ethnic conflict.
    * problema + radicar = trouble + lie.
    * problema real = real problem.
    * problema + residir = problem + reside, problem + lie, problem + come with.
    * problemas = trouble, crisis [crises, -pl.], problem areas, trials and tribulations, trouble at mill.
    * problemas auditivos = impaired hearing, hearing impairment, hearing disability.
    * problemas cada vez mayores = mounting problems.
    * problemas con el alcohol = problem drinking.
    * problemas con la bebida = problem drinking.
    * problemas con la vista = poor eyesight.
    * problemas de la vida = life problems [life-problems].
    * problemas del crecimiento = growing pains.
    * problemas de lectura = reading difficulties.
    * problemas dentales = dental disease.
    * problemas de oído = poor hearing.
    * problema seguro = accident waiting to happen.
    * problemas familiares = family crisis.
    * problemas + girar en torno a = problems + turn on, problems + revolve around.
    * problemas inherentes al crecimiento = growing pains.
    * problemas iniciales = teething problems, teething troubles, growing pains.
    * problema siquiátrico = psychiatric problem.
    * problema social = societal problem, social problem.
    * problemas sociales = social crisis.
    * problema + surgir = problem + arise, problem + surface, problem + come with.
    * problemas visuales = visual impairment.
    * problema técnico = glitch, technical difficulty, technical problem.
    * problema técnico desconocido = gremlin.
    * quitar importancia a un problema = trivialise + trouble.
    * raíz del problema, la = root of the problem, the.
    * resolución de problemas = problem solving [problem-solving].
    * resolver los problemas = iron out + the bugs.
    * resolver un problema = resolve + issue, resolve + problem, solve + problem, work out + problem, unlock + problem, settle + problem, sort out + problem, clear up + problem, work + problem + through, address + limitation, straighten out + problem, iron out + problem, work out + kink.
    * sacar a colación un problema = bring + problem up.
    * salvar un problema = circumvent + problem, negotiate + problem.
    * ser un problema = be at issue.
    * sin meterse en problemas = keep out of + trouble.
    * sin problemas = smoothly, smooth [smoother -comp., smoothest -sup.], problem-free, trouble free [trouble-free], without a hitch, unproblematically, carefree, without difficulty, in good standing.
    * sin problemas de vista = sighted.
    * solución a problemas = problem solution.
    * solucionar los problemas = put + things right.
    * solucionar problemas = problem solving [problem-solving].
    * solucionar un problema = solve + problem, settle + problem, iron out + problem.
    * subproblema = sub-problem [subproblem].
    * subsanar un problema = remedy + problem.
    * superar el problema de credibilidad = overcome + credibility gap.
    * superar un problema = surmount + problem, conquer + problem, get over + problem.
    * surgir un problema de credibilidad = credibility gap + arise.
    * suscitar un problema = provoke + problem, raise + problem, raise + concern.
    * tener problema con Algo = experience + trouble with.
    * tener problemas = have + problems.
    * tener problemas con = fall + foul of, run + afoul of problems, run + afoul of, fall + afoul of.
    * tener problemas con la ley = fall + foul of the law, go + afoul of the law, fall + afoul of the law.
    * tener un problema = experience + problem.
    * tener un problema medio resuelto = have + problem half licked.
    * tocar un problema = touch on/upon + problem.
    * toparse con un problema = encounter + problem, come across + problem.
    * tratar un problema = address + problem, deal with + problem, handle + problem, tackle + problem, address + limitation, grapple with + problem, treat + problem, address + concern.
    * tratar un problema de pasada = touch on/upon + problem.
    * trivializar un problema = trivialise + trouble.
    * tropezar con problemas = run into + problems.
    * * *
    masculino problem

    resolver/solucionar un problema — to solve a problem

    si se enteran, vas a tener problemas — if they find out, you'll be in trouble

    no te hagas problema — (AmL) don't worry about it

    * * *
    = dilemma, issue, problem, rough spot, snag, bug, hitch, mischief, trouble spot, tyranny, catch, tribulation, show-stopper [showstopper], hassle, rub, kink, kicker.

    Ex: Unfortunately documents which present dilemmas in the selection of author headings are present in even the smallest library collections.

    Ex: These issues are reviewed more thoroughly in chapter 10.
    Ex: When the cataloguer turns to the description of a piece of music a common problem will be the absence of a title page to be used as the chief source of information.
    Ex: But despite the many catalog worlds, and herein lies the rub -- or at least a rough spot -- we have been proceeding on the assumption that the catalog exists in the form of the data distributed by the Library of Congress.
    Ex: Another snag was the existence of entrenched divergent cataloguing habits among the multinational staff, not to mention their fear of the unknown = Otro problema era la existencia de hábitos de catalogación divergentes y ya arraigados entre el personal multinacional, por no mencionar su miedo hacia lo desconocido.
    Ex: A bug is an error in a program or an equipment malfunction.
    Ex: Keeping pace with these changes may well mean more work than the seven year hitch experienced by DC users.
    Ex: The author discusses the characteristics of programs designed specifically to cause mischief to computer owners who download and run the programs = El autor analiza las características de los programas diseñados específicamente para causar problemas a los propietarios de ordenadores que los descargan y ejecutan.
    Ex: The statistics collected served as an early warning signal for trouble spots.
    Ex: Information access, such as satellites, overcomes the tyranny of distance for students, teachers and researchers in Australasia.
    Ex: Whilst these achievements are commendable, there is a catch in them -- there can be used to 'intensify' the economic exploitation of women.
    Ex: The author discusses the tribulations of equipment selection.
    Ex: In engineering use, a show-stopper is usually some aspect of a project that is so bad that it threatens to cancel the project unless it is corrected.
    Ex: The article is entitled 'How to implement electronic subscriptions replacing the routing list hassle'.
    Ex: But as elegant and efficient as this seems, this strategy has a rub - you've got to have technology to track shipments, since you're ultimately responsible for purchases, warranties and returns.
    Ex: However, like any emerging technology, there are still a few kinks in the system.
    Ex: The kicker is that this type of money transfer service is less convenient and no safer than many online money transfers.
    * abordar un problema = address + problem.
    * acción de averiguar y resolver problemas = troubleshooting [trouble shooting].
    * aclarar un problema = clear up + problem.
    * acometer un problema = attack + problem.
    * acosado por problemas = beset with + problems.
    * acotar un problema = delineate + problem.
    * acuciado por problemas = embattled.
    * acumular problemas = build up + problems.
    * afrontar los problemas cotidianos = grapple with + life's problems.
    * afrontar un problema = face + issue, confront + problem.
    * agobiado por problemas = beset with + problems.
    * agravar un problema = compound + problem.
    * ahí está el problema = herein lies the rub, there's the rub.
    * anticipar un problema = anticipate + problem.
    * aprendizaje a través de solución de problemas = problem based learning.
    * aquejado de problemas = troubled, ailing.
    * arreglar un problema = fix + problem.
    * asediado por problemas = embattled.
    * atajar un problema = grapple with + problem.
    * ausencia de problemas = smoothness.
    * averiguar un problema = investigate + problem.
    * buscar problemas = ask for + trouble, court + disaster, make + trouble.
    * capacidad de resolver problemas = problem-solving ability.
    * causar problemas = cause + problems, cause + trouble, make + trouble.
    * combatir un problema = combat + problem.
    * complicar un problema = compound + problem.
    * con problemas = in hot water.
    * con problemas de aprendizaje = learning disabled.
    * con problemas de lectura = print disabled.
    * con problemas de vista = vision impaired.
    * con problemas visuales = vision impaired.
    * considerar un problema = consider + problem.
    * convertirse en un gran problema = grow to + a crisis.
    * corregir un problema = correct + problem.
    * crear problemas = make + waves, build up + problems, make + trouble.
    * darle vueltas a un problema = puzzle over + problem.
    * dar lugar a problemas = give + rise to problems.
    * dar problemas = play up.
    * darse cuenta de un problema = alight on + problem.
    * debatir un problema = discuss + problem.
    * decisión precipitada ante un problema = crisis decision.
    * dedicar + Posesivo + atención a un problema = turn + Posesivo + attention to problem.
    * definición del problema = problem statement.
    * definir un problema = delineate + problem.
    * delimitar un problema = isolate + problem.
    * desarrollarse sin problemas = go + smoothly.
    * detectar un problema = spot + problem, spot + trouble.
    * diagnosticar el problema = diagnose + problem.
    * dirigir + Posesivo + atención a un problema = turn + Posesivo + attention to problem.
    * el final de los problemas = the light at the end of the tunnel.
    * eliminar un problema = sweep away + problem, work out + kink.
    * el problema no es el qué, sino el cómo = the devil (is/lives) in the details.
    * el problema obvio = the elephant in the room.
    * el único problema = a fly in the soup, the fly in the ointment.
    * el verdadero problema = the elephant in the room.
    * encontrar el modo de paliar un problema = find + way (a)round + problem.
    * encontrarse con problemas = run into + trouble.
    * encontrarse con un problema = encounter + problem, meet with + problem, run up against + issue, come across + problem.
    * enfrentarse a un problema = challenge + threat, confront + question, cope with + problem, face + issue, face + issue, face + problem, come up against + problem, struggle with + issue, wrestle with + problem, deal with + issue.
    * enfrentarse un problema = confront + problem, experience + problem.
    * enunciado del problema = problem statement.
    * esbozar un problema = outline + problem.
    * ese es el problema = herein lies the rub, there's the rub.
    * esquivar el problema = sidestep + the problem.
    * esquivar un problema = duck + issue.
    * estar lleno de problemas = bristle with + problems.
    * evitar problemas = stay out of + trouble.
    * evitar un problema = avoid + problem.
    * exarcerbar un problema = inflame + problem.
    * exteriorizar un problema = externalise + problem.
    * forma de evitar un problema = way round + problem.
    * franquear un problema = negotiate + problem.
    * hacer frente a un problema = attack + problem, combat + problem, wrestle with + problem.
    * identificar un problema = outline + problem, identify + problem, isolate + problem.
    * ilustrar un problema = illustrate + problem.
    * investigar un problema = investigate + problem.
    * libre de problemas = problem-free, trouble free [trouble-free].
    * lleno de problemas = plagued with problems, problem-ridden.
    * llevarse los problemas a casa = bring + problems home.
    * mencionar un problema = bring + problem up.
    * meterse en problemas = get into + trouble.
    * mitigar un problema = alleviate + problem.
    * no haber problemas = be fine.
    * no tener ningún problema con = be okay with.
    * no terminar nunca de tener problemas con = have + no end of problems with.
    * obtener el enunciado del problema = elicit + problem statement.
    * ocasionar problemas = cause + problems.
    * orientado hacia la resolución de problemas = problem-orientated, problem-oriented.
    * paliar problemas = minimise + problems.
    * paliar un problema = solve + problem.
    * percatarse de un problema = alight on + problem.
    * persona con problemas de aprendizaje = learning disabled person.
    * persona o mecanismo que resuelve problemas = solver.
    * persona que intenta averiguar y resolver problemas = troubleshooter.
    * personas con problemas de lectura = print handicapped people, print handicapped, the.
    * personas con problemas de lectura de la letra impresa = print disabled people.
    * personas con problemas de vista, las = visually impaired, the, visually disabled, the, visually handicapped, the, visually impaired people (VIPs), visually challenged, the.
    * personas con problemas mentales = disturbed people.
    * persona sin problemas de vista = sighted person.
    * plagado de problemas = plagued with problems, problem-wracked [problem-racked].
    * plagar de problemas = bedevil.
    * plantear un problema = pose + dilemma, pose + problem, raise + question, raise + concern, raise + issue, raise + problem, articulate + problem.
    * presentar problemas = present + problems.
    * presentar un problema = pose + problem, air + problem.
    * prestar + Posesivo + atención a un problema = turn + Posesivo + attention to problem.
    * problema + acosar = problem + dog.
    * problema acuciante = pressing problem.
    * problema + acuciar = problem + beset.
    * problema + afectar = problem + afflict, problem + plague.
    * problema + afligir = problem + afflict.
    * problema + agravar = problem + exacerbate.
    * problema alimenticio = eating problem.
    * problema asociado = attending problem.
    * problema auditivo = hearing problem.
    * problema + avecinarse = problem + lie ahead.
    * problema cada vez mayor = growing problem.
    * problema con el alcohol = drinking problem.
    * problema con los niños de la llave = latchkey problem.
    * problema cotidiano = daily problem.
    * problema de comportamiento = behaviour problem, behavioural problem.
    * problema de espacio = space problem.
    * problema de imagen = image problem.
    * problema de peso = weight problem.
    * problema de salud = health problem.
    * problema + desaparecer = problem + go away.
    * problema de seguridad = security problem.
    * problema diario = daily problem.
    * problema difícil = thorny problem, poser.
    * problema difícil de resolver = tough nut to crack, hard nut to crack, brain tickler.
    * problema doméstico = domestic problem.
    * problema económico = economic problem, financial problem.
    * problema + encontrarse = problem + lie.
    * problema en la escuela = school problem.
    * problema escolar = school problem.
    * problema espinoso = knotty problem, thorny problem, thorny issue, thorny question.
    * problema + estar = problem + lie, problem + come with.
    * problema familiar = family problem.
    * problema informático = computing problem.
    * problema inicial = startup problem.
    * problema insoluble = insoluble problem.
    * problema monetario = monetary problem.
    * problema motriz = motor disability.
    * problema peliagudo = thorny problem, thorny issue, thorny question.
    * problema pequeño = a cloud no bigger than a man's hand.
    * problema + persistir = problem + persist.
    * problema personal = personal problem.
    * problema + plantearse = problem + come with.
    * problema práctico = practical problem.
    * problema racial = racial conflict, ethnic conflict.
    * problema + radicar = trouble + lie.
    * problema real = real problem.
    * problema + residir = problem + reside, problem + lie, problem + come with.
    * problemas = trouble, crisis [crises, -pl.], problem areas, trials and tribulations, trouble at mill.
    * problemas auditivos = impaired hearing, hearing impairment, hearing disability.
    * problemas cada vez mayores = mounting problems.
    * problemas con el alcohol = problem drinking.
    * problemas con la bebida = problem drinking.
    * problemas con la vista = poor eyesight.
    * problemas de la vida = life problems [life-problems].
    * problemas del crecimiento = growing pains.
    * problemas de lectura = reading difficulties.
    * problemas dentales = dental disease.
    * problemas de oído = poor hearing.
    * problema seguro = accident waiting to happen.
    * problemas familiares = family crisis.
    * problemas + girar en torno a = problems + turn on, problems + revolve around.
    * problemas inherentes al crecimiento = growing pains.
    * problemas iniciales = teething problems, teething troubles, growing pains.
    * problema siquiátrico = psychiatric problem.
    * problema social = societal problem, social problem.
    * problemas sociales = social crisis.
    * problema + surgir = problem + arise, problem + surface, problem + come with.
    * problemas visuales = visual impairment.
    * problema técnico = glitch, technical difficulty, technical problem.
    * problema técnico desconocido = gremlin.
    * quitar importancia a un problema = trivialise + trouble.
    * raíz del problema, la = root of the problem, the.
    * resolución de problemas = problem solving [problem-solving].
    * resolver los problemas = iron out + the bugs.
    * resolver un problema = resolve + issue, resolve + problem, solve + problem, work out + problem, unlock + problem, settle + problem, sort out + problem, clear up + problem, work + problem + through, address + limitation, straighten out + problem, iron out + problem, work out + kink.
    * sacar a colación un problema = bring + problem up.
    * salvar un problema = circumvent + problem, negotiate + problem.
    * ser un problema = be at issue.
    * sin meterse en problemas = keep out of + trouble.
    * sin problemas = smoothly, smooth [smoother -comp., smoothest -sup.], problem-free, trouble free [trouble-free], without a hitch, unproblematically, carefree, without difficulty, in good standing.
    * sin problemas de vista = sighted.
    * solución a problemas = problem solution.
    * solucionar los problemas = put + things right.
    * solucionar problemas = problem solving [problem-solving].
    * solucionar un problema = solve + problem, settle + problem, iron out + problem.
    * subproblema = sub-problem [subproblem].
    * subsanar un problema = remedy + problem.
    * superar el problema de credibilidad = overcome + credibility gap.
    * superar un problema = surmount + problem, conquer + problem, get over + problem.
    * surgir un problema de credibilidad = credibility gap + arise.
    * suscitar un problema = provoke + problem, raise + problem, raise + concern.
    * tener problema con Algo = experience + trouble with.
    * tener problemas = have + problems.
    * tener problemas con = fall + foul of, run + afoul of problems, run + afoul of, fall + afoul of.
    * tener problemas con la ley = fall + foul of the law, go + afoul of the law, fall + afoul of the law.
    * tener un problema = experience + problem.
    * tener un problema medio resuelto = have + problem half licked.
    * tocar un problema = touch on/upon + problem.
    * toparse con un problema = encounter + problem, come across + problem.
    * tratar un problema = address + problem, deal with + problem, handle + problem, tackle + problem, address + limitation, grapple with + problem, treat + problem, address + concern.
    * tratar un problema de pasada = touch on/upon + problem.
    * trivializar un problema = trivialise + trouble.
    * tropezar con problemas = run into + problems.

    * * *
    1 ( Mat) problem
    resolver un problema to solve a problem
    2 (dificultad, preocupación) problem
    nos está creando muchos problemas it is causing us a lot of problems o a lot of trouble
    problemas económicos financial difficulties o problems
    me gustaría ir, el problema es que no tengo dinero I'd like to go, the snag o trouble o problem o thing is I don't have any money
    los coches viejos siempre dan muchos problemas old cars always give a lot of trouble, old cars always play up a lot ( colloq)
    si se enteran, vas a tener problemas if they find out, you'll be in trouble
    no te hagas problema ( AmL); don't worry about it
    * * *

     

    problema sustantivo masculino
    problem;
    ◊ resolver/solucionar un problema to solve a problem;

    los coches viejos dan muchos problemas old cars give a lot of trouble;
    no te hagas problema (AmL) don't worry about it
    problema sustantivo masculino problem: les está dando muchos problemas, it is giving them a lot of trouble
    problemas económicos, financial difficulties

    ' problema' also found in these entries:
    Spanish:
    abordar
    - acotar
    - circunscribirse
    - comprensión
    - conciencia
    - concienciarse
    - conjuntamente
    - contingente
    - deforestación
    - desarrollo
    - desforestación
    - desmenuzar
    - diferente
    - drogodependencia
    - eficacia
    - encarar
    - endemoniada
    - endemoniado
    - enfocar
    - enfocada
    - enfocado
    - enfoque
    - enrevesada
    - enrevesado
    - enunciado
    - inconveniente
    - intrincada
    - intrincado
    - magnitud
    - mano
    - orden
    - plantear
    - presentarse
    - profundizar
    - profundidad
    - radicar
    - raíz
    - remediar
    - remontar
    - replantear
    - resolución
    - resolver
    - robar
    - rompecabezas
    - salida
    - sencilla
    - sencillez
    - sencillo
    - sensibilizar
    - sinsabor
    English:
    answer
    - appreciate
    - appreciation
    - approach
    - approachable
    - arithmetic
    - attack
    - avenue
    - awkward
    - bit
    - bypass
    - can
    - care
    - central
    - come up
    - compound
    - deal with
    - define
    - devil
    - difficulty
    - emerge
    - emotional
    - form
    - formidable
    - graft
    - grapple
    - growing
    - hard
    - hassle
    - ignore
    - issue
    - knotty
    - knowledge
    - land
    - lie
    - magnitude
    - major
    - matter
    - meditate
    - meet with
    - nut
    - object
    - outstanding
    - overcome
    - pin down
    - pose
    - present
    - problem
    - question
    - relation
    * * *
    1. [dificultad] problem;
    el problema del terrorismo the terrorist problem, the problem of terrorism;
    los niños no causan más que problemas children cause nothing but trouble o problems;
    no quiero más problemas I don't want any more trouble;
    el problema es que no nos queda tiempo the problem o thing is that we don't have any time left;
    Am
    no te hagas problema don't worry about it
    2. [matemático] problem;
    resolver un problema to solve a problem
    * * *
    m problem;
    sin problema without difficulty, without any problems
    * * *
    : problem
    * * *
    problema n problem

    Spanish-English dictionary > problema

  • 11 expert system

    Gen Mgt
    a computer program that emulates the reasoning and decision making of a human expert in a particular field. The main components of an expert system are the knowledge base, which consists of facts and rules about appropriate courses of action based on the knowledge and experience of human experts; the inference engine, which simulates the inductive reasoning of a human expert; and the user interface, which enables users to interact with the system. Expert systems may be used by nonexperts to solve well-defined problems when human expertise is unavailable or expensive, or by experts seeking to find solutions to complex questions. They are used for a wide variety of tasks including medical diagnostics and financial decision making, and are an application of artificial intelligence.

    The ultimate business dictionary > expert system

  • 12 empresa1

    1 = business [businesses, -pl.], commercial firm, company, corporation, firm, business enterprise, outfit, business interest, business firm, industrial firm, commercial enterprise, operating company.
    Ex. To a small or mid-sized business, information is critical for effective planning, growth and development.
    Ex. Difficulties over access to these can arise when research project has been financed by a scientific organization or commercial firm who have an interest in maintaining security.
    Ex. Among the companies offering 'Mice' are Microsoft, Vision and Apple, but more are anticipated.
    Ex. The main form of knowledge transfer and the basis for decision making within corporations has not been a paper, a document or a detailed report, but a set of overhead slides and the discussions around them.
    Ex. The European Development Fund finances projects in overseas countries for which European-based firms can supply equipment and know-how.
    Ex. The 'Books at work' project in Kalmar in southern Sweden is the result of collaboration between trade unions, business enterprises and the public library.
    Ex. The author compares the advantages and disadvantages of buying from the larger established companies and smaller outfits.
    Ex. As an example, the University of Hawaii libraries have installed an online catalogue on which they will hang a special assortment of databases that are needed by Hawaii and Pacific business interests.
    Ex. Collection and preservation of records is an expensive pursuit and the task of persuading cost conscious business firms that they ought to preserve their records is an unenviable one.
    Ex. In libraries serving industrial firms, for example, the cost of not finding information may be high; this is why 'hard headed businessmen' add to their overheads by paying for extensive library services.
    Ex. Some commercial enterprises subsidise satellite communications for academic institutions.
    Ex. In the future, these files will be made readily accessible to other Glaxo operating companies through the use of computers.
    ----
    * a cuenta de la empresa = at company expense.
    * administración de empresas = business administration.
    * admnistrador de empresa = firm administrator.
    * archivo de empresa = business archives.
    * biblioteca de empresa = commercial library, industrial library, corporate library, company library, business library.
    * bibliotecario de empresa = industrial librarian.
    * comida de empresa = company dinner.
    * como las empresas = business-like.
    * conglomerado de empresas = conglomerate.
    * contratación de personal cualificado de otras empresas = lateral hiring.
    * curso mixto de clases y práctica en la empresa = sandwich course.
    * dejar la empresa = jump + ship.
    * de la propia empresa = company-owned.
    * de toda la empresa = systemwide.
    * director de empresa = company director.
    * directorio de empresas en base de datos = corporate directory database, company directory database.
    * documentación de empresas = business record.
    * empresa afiliada = sister company.
    * empresa comercial = commercial agency, commercial vendor, commercial business, business firm.
    * empresa con solera = established player.
    * empresa consolidada = established player.
    * empresa constructora = property developer.
    * empresa consumada = established player.
    * empresa de búsqueda personalizada de ejecutivos = headhunter.
    * empresa de cobro de deudas = debt collection agency.
    * empresa de contabilidad = accounting firm.
    * empresa dedicada a la venta por correo = mail order company.
    * empresa dedicada al desarrollo de productos = product developer.
    * empresa dedicada a los sondeos de opinión = polling firm, polling agency.
    * empresa dedicada al proceso del cereal = corn processor.
    * empresa de grandes derroches = high roller.
    * empresa de investigación = research firm.
    * empresa de la limpieza = cleaning firm.
    * empresa de liempza = cleaning business.
    * empresa de limpieza = janitorial business.
    * empresa de medios de comunicación = media company.
    * empresa de mudanzas = mover.
    * empresa de nuestro grupo = sister company, sister organisation.
    * empresa de nueva creación = this sort of thing, startup [start-up].
    * empresa de ordenadores = computer company.
    * empresa de reparto de paquetes = package delivery company.
    * empresa de seguridad = security firm.
    * empresa de servicios = service organisation, service agency, service company.
    * empresa de servicios de información = information broker, broker, information broking.
    * empresa de servicio social = social utility.
    * empresa de servicios públicos = public utility, utility company.
    * empresa de solera = established player.
    * empresa de telecomunicaciones = computer bureau.
    * empresa de trabajo = industrial affiliation.
    * empresa de un grupo = operating company.
    * empresa de viajes = travel company.
    * empresa en la que sólo pueden trabajar empleados que pertenezcan a un sindic = close shop.
    * empresa farmacéutica = drug company.
    * empresa filial = subsidiary company.
    * empresa hipotecaria = mortgage company.
    * empresa industrial = industrial firm.
    * empresa organizadora de congresos = conference organiser.
    * empresa privada = private vendor, private company, private business, private firm.
    * empresa pública = civilian employer, public firm.
    * empresas americanas, las = corporate America.
    * empresa sindicada = union shop.
    * empresa televisiva = television company.
    * empresa transportadora = shipper, shipping agent.
    * en toda la empresa = company-wide, systemwide.
    * específico de las empresas = company-specific.
    * fusión de empresas = consolidation.
    * gasto de empresa = business expense.
    * gestión de empresas = business management.
    * grupo de empresas = business group.
    * guardería de la empresa = workplace crêche.
    * información sobre empresas = business intelligence.
    * intranet de empresa = corporate intranet.
    * libro de empresa = organisation manual.
    * mercado de la empresa = corporate market.
    * mundo de la empresa = business world.
    * mundo de la empresa, el = corporate world, the.
    * mundo de las empresas = business environment.
    * página web de empresa = business site, corporate site.
    * para toda la empresa = company-wide, enterprise-wide.
    * partícipe en la empresa = corporate insider.
    * patrocinado por la propia empresa = company-sponsored.
    * pequeña empresa = small business.
    * persona de la propia empresa = insider.
    * programa de prácticas en la empresa = internship program(me), internship.
    * programa mixto de clases y práctica en la empresa = sandwich programme.
    * propiedad de la empresa = company-owned.
    * PYME (Pequeña y Mediana Empresa) = SME (Small and Medium Sized Enterprise).
    * que afecta a toda la empresa = enterprise-wide.
    * sitio web de empresa = business site, corporate site.
    * trabajador cualificado contratado de otra empresa = lateral hire.
    * ya parte de la empresa = on board.

    Spanish-English dictionary > empresa1

  • 13 empresa

    f.
    1 company.
    pequeña y mediana empresa small and medium-sized business
    libre empresa free enterprise
    empresa conjunta joint venture
    empresa filial subsidiary
    empresa matriz parent company
    empresa privada private company
    la empresa privada the private sector
    empresa pública public sector firm
    la empresa pública the public sector
    2 enterprise, undertaking.
    se embarcó en una peligrosa empresa he embarked on a risky enterprise o undertaking
    * * *
    1 (compañía) firm, company
    2 (dirección) management
    3 (acción) undertaking, venture
    \
    empresa filial subsidiary company
    empresa matriz parent company
    empresa multinacional multinational company
    empresa naviera shipping company
    libre empresa free enterprise
    * * *
    noun f.
    1) company, corporation, firm, business
    2) undertaking, venture
    * * *
    SF
    1) (=tarea) enterprise
    2) (Com, Econ) (=compañía) firm, company

    empresa funeraria — undertaker's, mortician's (EEUU)

    3) (=dirección) management

    la empresa lamenta que... — the management regrets that...

    * * *
    1)
    a) ( compañía) company, firm (BrE)
    b) ( dirección) management
    2) (tarea, labor) venture, undertaking
    * * *
    1)
    a) ( compañía) company, firm (BrE)
    b) ( dirección) management
    2) (tarea, labor) venture, undertaking
    * * *
    empresa1
    1 = business [businesses, -pl.], commercial firm, company, corporation, firm, business enterprise, outfit, business interest, business firm, industrial firm, commercial enterprise, operating company.

    Ex: To a small or mid-sized business, information is critical for effective planning, growth and development.

    Ex: Difficulties over access to these can arise when research project has been financed by a scientific organization or commercial firm who have an interest in maintaining security.
    Ex: Among the companies offering 'Mice' are Microsoft, Vision and Apple, but more are anticipated.
    Ex: The main form of knowledge transfer and the basis for decision making within corporations has not been a paper, a document or a detailed report, but a set of overhead slides and the discussions around them.
    Ex: The European Development Fund finances projects in overseas countries for which European-based firms can supply equipment and know-how.
    Ex: The 'Books at work' project in Kalmar in southern Sweden is the result of collaboration between trade unions, business enterprises and the public library.
    Ex: The author compares the advantages and disadvantages of buying from the larger established companies and smaller outfits.
    Ex: As an example, the University of Hawaii libraries have installed an online catalogue on which they will hang a special assortment of databases that are needed by Hawaii and Pacific business interests.
    Ex: Collection and preservation of records is an expensive pursuit and the task of persuading cost conscious business firms that they ought to preserve their records is an unenviable one.
    Ex: In libraries serving industrial firms, for example, the cost of not finding information may be high; this is why 'hard headed businessmen' add to their overheads by paying for extensive library services.
    Ex: Some commercial enterprises subsidise satellite communications for academic institutions.
    Ex: In the future, these files will be made readily accessible to other Glaxo operating companies through the use of computers.
    * a cuenta de la empresa = at company expense.
    * administración de empresas = business administration.
    * admnistrador de empresa = firm administrator.
    * archivo de empresa = business archives.
    * biblioteca de empresa = commercial library, industrial library, corporate library, company library, business library.
    * bibliotecario de empresa = industrial librarian.
    * comida de empresa = company dinner.
    * como las empresas = business-like.
    * conglomerado de empresas = conglomerate.
    * contratación de personal cualificado de otras empresas = lateral hiring.
    * curso mixto de clases y práctica en la empresa = sandwich course.
    * dejar la empresa = jump + ship.
    * de la propia empresa = company-owned.
    * de toda la empresa = systemwide.
    * director de empresa = company director.
    * directorio de empresas en base de datos = corporate directory database, company directory database.
    * documentación de empresas = business record.
    * empresa afiliada = sister company.
    * empresa comercial = commercial agency, commercial vendor, commercial business, business firm.
    * empresa con solera = established player.
    * empresa consolidada = established player.
    * empresa constructora = property developer.
    * empresa consumada = established player.
    * empresa de búsqueda personalizada de ejecutivos = headhunter.
    * empresa de cobro de deudas = debt collection agency.
    * empresa de contabilidad = accounting firm.
    * empresa dedicada a la venta por correo = mail order company.
    * empresa dedicada al desarrollo de productos = product developer.
    * empresa dedicada a los sondeos de opinión = polling firm, polling agency.
    * empresa dedicada al proceso del cereal = corn processor.
    * empresa de grandes derroches = high roller.
    * empresa de investigación = research firm.
    * empresa de la limpieza = cleaning firm.
    * empresa de liempza = cleaning business.
    * empresa de limpieza = janitorial business.
    * empresa de medios de comunicación = media company.
    * empresa de mudanzas = mover.
    * empresa de nuestro grupo = sister company, sister organisation.
    * empresa de nueva creación = this sort of thing, startup [start-up].
    * empresa de ordenadores = computer company.
    * empresa de reparto de paquetes = package delivery company.
    * empresa de seguridad = security firm.
    * empresa de servicios = service organisation, service agency, service company.
    * empresa de servicios de información = information broker, broker, information broking.
    * empresa de servicio social = social utility.
    * empresa de servicios públicos = public utility, utility company.
    * empresa de solera = established player.
    * empresa de telecomunicaciones = computer bureau.
    * empresa de trabajo = industrial affiliation.
    * empresa de un grupo = operating company.
    * empresa de viajes = travel company.
    * empresa en la que sólo pueden trabajar empleados que pertenezcan a un sindic = close shop.
    * empresa farmacéutica = drug company.
    * empresa filial = subsidiary company.
    * empresa hipotecaria = mortgage company.
    * empresa industrial = industrial firm.
    * empresa organizadora de congresos = conference organiser.
    * empresa privada = private vendor, private company, private business, private firm.
    * empresa pública = civilian employer, public firm.
    * empresas americanas, las = corporate America.
    * empresa sindicada = union shop.
    * empresa televisiva = television company.
    * empresa transportadora = shipper, shipping agent.
    * en toda la empresa = company-wide, systemwide.
    * específico de las empresas = company-specific.
    * fusión de empresas = consolidation.
    * gasto de empresa = business expense.
    * gestión de empresas = business management.
    * grupo de empresas = business group.
    * guardería de la empresa = workplace crêche.
    * información sobre empresas = business intelligence.
    * intranet de empresa = corporate intranet.
    * libro de empresa = organisation manual.
    * mercado de la empresa = corporate market.
    * mundo de la empresa = business world.
    * mundo de la empresa, el = corporate world, the.
    * mundo de las empresas = business environment.
    * página web de empresa = business site, corporate site.
    * para toda la empresa = company-wide, enterprise-wide.
    * partícipe en la empresa = corporate insider.
    * patrocinado por la propia empresa = company-sponsored.
    * pequeña empresa = small business.
    * persona de la propia empresa = insider.
    * programa de prácticas en la empresa = internship program(me), internship.
    * programa mixto de clases y práctica en la empresa = sandwich programme.
    * propiedad de la empresa = company-owned.
    * PYME (Pequeña y Mediana Empresa) = SME (Small and Medium Sized Enterprise).
    * que afecta a toda la empresa = enterprise-wide.
    * sitio web de empresa = business site, corporate site.
    * trabajador cualificado contratado de otra empresa = lateral hire.
    * ya parte de la empresa = on board.

    empresa2
    2 = enterprise, scheme, venture, quest, operation, undertaking.

    Ex: Only those who have attempted to edit the proceedings of a conference can appreciate the magnitude and scope of such an enterprise.

    Ex: There are forty-six centres in twenty-five countries participating in the scheme.
    Ex: However rudimentary or advanced the system, and no matter what the age of the children involved, certain matters should be considered before setting out on the venture.
    Ex: It is a quest without a satisfactory conclusion - a holy grail of librarianship.
    Ex: When he was younger he really turned the library around, from a backwater, two-bit operation to the respected institution it is today.
    Ex: Since the file from 1966-1975 contains some 2,500,000 references, a search of the complete data base is a fairly large-scale undertaking.
    * empresa descabellada = fool's errand.
    * empresa próspera = success story.

    * * *
    A
    1 (compañía) company, firm ( BrE)
    empresa filial subsidiary company
    mediano, pequeño1 (↑ pequeño (1))
    2 (dirección) management
    la empresa no se hace responsable de … the management cannot accept liability for …
    libre1 (↑ libre (1))
    Compuestos:
    start-up
    public utility company, public utility
    sponsors (pl) ( of an artistic event)
    private sector company
    public sector company
    raider
    masculine and feminine (Ur) self-employed person, sole trader ( BrE)
    B (tarea, labor) venture, undertaking
    nos hemos embarcado en una arriesgada empresa we've undertaken a risky venture
    pereció en la empresa ( liter); she perished in the attempt ( liter)
    * * *

     

    empresa sustantivo femenino
    1 ( compañía) company, firm (BrE);

    2 (tarea, labor) venture, undertaking
    empresa sustantivo femenino
    1 Com Ind company, firm
    empresa pública, state-owned company
    2 (proyecto, tarea) undertaking, task: es una empresa muy arriesgada, it's a very risky venture
    ' empresa' also found in these entries:
    Spanish:
    administración
    - ámbito
    - amenaza
    - asegurar
    - bacalao
    - casa
    - CEPYME
    - compañía
    - constructor
    - constructora
    - contabilidad
    - contrata
    - dar
    - decorar
    - deficitaria
    - deficitario
    - definitivamente
    - departamento
    - depurar
    - dirección
    - dirigir
    - diversificarse
    - económica
    - económico
    - ejecutiva
    - ensalzar
    - entablar
    - escala
    - escáner
    - espaldarazo
    - estatal
    - estructuración
    - forjar
    - gestión
    - hipotecar
    - hostelería
    - imagen
    - imposición
    - inspección
    - juez
    - lanzamiento
    - ligarse
    - llevar
    - mecánica
    - nacional
    - negocio
    - negrera
    - negrero
    - patrón
    - patrona
    English:
    administration
    - amount to
    - association
    - audit
    - backbone
    - bankrupt
    - base
    - be
    - being
    - boss
    - branch out
    - builder
    - business
    - by-law
    - carrier
    - climb down
    - cock-up
    - collapse
    - come in
    - company
    - creativity
    - credit bureau
    - dark horse
    - deal with
    - department
    - developer
    - disorganized
    - division
    - do
    - down-market
    - effective
    - engineer
    - enter
    - enterprise
    - equal
    - established
    - exploit
    - firm
    - fixture
    - float
    - flourish
    - go down
    - go under
    - head
    - house
    - in-house
    - insider
    - intimidate
    - launch
    - launching
    * * *
    1. [sociedad] company;
    pequeña y mediana empresa small and medium-sized business;
    prohibido fijar carteles: responsable la empresa anunciadora [en letrero] post o stick no bills: advertisers will be held liable
    empresa común joint venture;
    empresa conjunta joint venture;
    empresa filial subsidiary;
    empresa funeraria undertaker's;
    empresa júnior junior enterprise, = firm set up and run by business studies students;
    empresa libre, libre empresa free enterprise;
    empresa matriz parent company;
    empresa mixta mixed company;
    empresa privada private company;
    empresa pública public sector firm;
    empresa punto com dot.com (company);
    empresa de seguridad security firm;
    empresa de servicio público public utility, US public service corporation;
    empresa de servicios service company;
    empresa de trabajo temporal Br temping o US temp agency;
    empresa de transportes Br haulage o US trucking firm;
    Urug empresa unipersonal sole trader, one person business
    2. [dirección] management;
    las negociaciones con la empresa the negotiations with management
    3. [acción] enterprise, undertaking;
    se embarcó en una peligrosa empresa he embarked on a risky enterprise o undertaking
    * * *
    f
    1 company;
    gran empresa large company;
    pequeña empresa small business;
    mediana empresa medium-sized business
    2 fig
    venture, undertaking
    * * *
    1) compañía, firma: company, corporation, firm
    2) : undertaking, venture
    * * *
    1. (entidad) company [pl. companies]
    2. (negocio) business [pl. businesses]

    Spanish-English dictionary > empresa

См. также в других словарях:

  • Knowledge-based engineering — (KBE) is a discipline with roots in computer aided design (CAD) and knowledge based systems but has several definitions and roles depending upon the context. An early role was support tool for a design engineer generally within the context of… …   Wikipedia

  • Knowledge-based systems — According to the Free On line Dictionary of Computing (FOLDOC), a knowledge based system is a program for extending and/or querying a knowledge base.The [http://www.computeruser.com/resources/dictionary/ Computer User High Tech Dictionary]… …   Wikipedia

  • Knowledge Management — (KM) comprises a range of practices used by organisations to identify, create, represent, distribute and enable adoption of what it knows, and how it knows it. It has been an established discipline since 1995 [Stankosky, 2005] with a body of… …   Wikipedia

  • Knowledge management — (KM) comprises a range of strategies and practices used in an organization to identify, create, represent, distribute, and enable adoption of insights and experiences. Such insights and experiences comprise knowledge, either embodied in… …   Wikipedia

  • Knowledge worker — Knowledge workers in today s workforce are individuals who are valued for their ability to act and communicate with knowledge within a specific subject area. They will often advance the overall understanding of that subject through focused… …   Wikipedia

  • Knowledge engineers — are computer systems experts who are trained in the field of expert systems. Receiving information from domain experts, the knowledge engineers interpret the presented information and relay it to computer programmers who code the information in… …   Wikipedia

  • Knowledge organization — NOTE: This page must be disambiguated. In some places, knowledge organization refers to an actual organization, that is a management company or institution. At other times, it refers to the act of organizing knowledge. The later concept,… …   Wikipedia

  • Knowledge economy — The knowledge economy is a term that refers either to an economy of knowledge focused on the production and management of knowledge in the frame of economic constraints, or to a knowledge based economy. In the second meaning, more frequently used …   Wikipedia

  • Knowledge level — In artificial intelligence, knowledge based agents draw on a pool of logical sentences to infer conclusions about the world. At the knowledge level, we only need to specify what the agent knows and what its goals are; a logical abstraction… …   Wikipedia

  • Knowledge base — A knowledge base (abbreviated KB, kb or Δ[1][2]) is a special kind of database for knowledge management, providing the means for the computerized collection, organization, and retrieval of knowledge. Also a collection of data representing related …   Wikipedia

  • Knowledge Query and Manipulation Language — The Knowledge Query and Manipulation Language, or KQML, is a languageand protocol for communication among software agents and knowledge based systems. It wasdeveloped in the early 1990s part of the DARPA knowledge Sharing Effort, which was aimed… …   Wikipedia

Поделиться ссылкой на выделенное

Прямая ссылка:
… Нажмите правой клавишей мыши и выберите «Копировать ссылку»