-
1 matemaattinen arvo
• mathematical value -
2 математическая величина
Русско-английский словарь по экономии > математическая величина
-
3 расчетная величина
mathematical valueРусско-английский словарь по страхованию > расчетная величина
-
4 matematicka vrijednost
-
5 расчётная величина
1) Computers: design center2) Engineering: computed value, rated quantity3) Construction: calculation value4) Insurance: mathematical value5) Automobile industry: specified rate6) Mining: ratings7) Telecommunications: rated value8) Information technology: design value, rating9) Oil: estimated value10) Astronautics: calculated value11) Drilling: rating value12) Aviation medicine: predicted rate, predicted value13) Cement: estimated amountУниверсальный русско-английский словарь > расчётная величина
-
6 математическая величина
1) Engineering: mathematical quantity2) Mathematics: mathematical variable3) Business: mathematical valueУниверсальный русско-английский словарь > математическая величина
-
7 닢
n. number, mathematical value or its symbol; identifying numeral, indefinite amount, quantity of; sum, tally, the value of coins -
8 adet
n. number, mathematical value or its symbol; numeral, courses, sum; menses; total, custom, tradition, convention, groove, consuetude, the usual thing, routine, habit, praxis, usage, use, wont, fashion, menstruation, period, flow, bleeding* * *1. catamenia 2. menses 3. observance -
9 âdet
n. number, mathematical value or its symbol; numeral, courses, sum; menses; total, custom, tradition, convention, groove, consuetude, the usual thing, routine, habit, praxis, usage, use, wont, fashion, menstruation, period, flow, bleeding* * *1. custom 2. usage -
10 수
n. male, animal of the male gender; hand, part of the body at the end of the arm; help, skill, trick, means; possibility, capability; age, longevity, long life; number, mathematical value or its symbol--------n. water, colorless transparent fluid, H2O; body of water (sea, river, lake, etc.); sea level; solution or form of water (rainwater, rose water, etc.); water supply; transparency of a precious gem; liquids in or passing out of the body -
11 getal
n. number, mathematical value or its symbol -
12 nummer
n. number, mathematical value or its symbol; identifying numeral (e.g. of a house); short performance, act -
13 Hodgkinson, Eaton
[br]b. 26 February 1789 Anderton, Cheshire, Englandd. 18 June 1861 near Manchester, England[br]English engineer who devised d new form of cast-iron girder.[br]Eaton Hodgkinson's father, a farmer, died when he was 6 years old, but his mother was a resourceful woman who set up a business in Salford and ensured that her son received a sound schooling. Most important for his education, however, was his friendship with the Manchester scientific luminary Dr. Dalton, who instructed him in practical mathematics. These studies led Hodgkinson to devise a new form of cast-iron girder, carefully tested by experiments and which was widely adopted for fire-proof structures in the nineteenth century. Following Dalton, Hodgkinson became an active member of the Manchester Philosophical Society, of which he was elected President in 1848. He also became an active member of the British Association for the Advancement of Science. Hodgkinson's work on cast-iron girders secured him a Fellowship of the Royal Society, and the Royal Medal of the Society, in 1841. It was Hodgkinson also who verified the mathematical value of the pioneering experiments carried out by William Fairbairn for Robert Stephenson's proposed wrought-iron tube structure which, in 1849, became the Britannia Bridge over the Menai Straits. He received a Silver Medal for this work at the Paris Exhibition of 1858. Hodgkinson served as a member of the Royal Commission appointed to enquire into the application of iron to railway structures. In 1847 he was appointed Professor of the Mechanical Principles of Engineering at University College, London, but his health began to fail shortly after. He was elected an Honorary Member of the Institution of Civil Engineers in 1851. Described as "singularly simple and guileless", he was widely admired and respected.[br]Principal Honours and DistinctionsPresident, Manchester Philosophical Society 1848. FRS 1841. Royal Society Medal 1841.Further ReadingDictionary of National Biography, London.Proceedings of the Institution of Civil Engineers 21:542–5.AB -
14 матэматычнае спадзяванне
mathematical mean valueБеларуска-ангельскі слоўнік матэматычных тэрмінаў і тэрміналагічных словазлучэнняў > матэматычнае спадзяванне
-
15 rechnerisch
I Adj. mathematical, arithmetical; rechnerische Lösung mathematical solution; ein rechnerisches Beispiel geben give an example with some figuresII Adv. mathematically, arithmetically; (durch Berechnung) by way of calculation; rechnerisch richtig mathematically correct; rein rechnerisch gesehen purely in terms of figures; rechnerisch ist es zwar in Ordnung, aber... it’s OK as far as the figures go ( oder the numbers look good) but...* * *rẹch|ne|risch1. adjarithmetical; (POL ) Mehrheit numericalein rechnerisches Beispiel — an example with some figures
2. adv1)(= kalkulatorisch)
rechnerisch falsch sein — to be wrongly calculatedrein rechnerisch — just on the basis of the figures
ich bin rein rechnerisch überzeugt, aber... — I'm convinced as far as the figures go but...
2) (= durch Rechnen) by or through calculation* * *rech·ne·rischI. adj arithmetic[al]\rechnerischer Gewinn paper profitII. adv1. (kalkulatorisch) arithmetically\rechnerisch richtig arithmetically correct2. (durch Rechnen) by calculationrein \rechnerisch purely arithmetically, as far as the figures go* * *1. 2.* * *A. adj mathematical, arithmetical;rechnerische Lösung mathematical solution;ein rechnerisches Beispiel geben give an example with some figuresrechnerisch richtig mathematically correct;rein rechnerisch gesehen purely in terms of figures;rechnerisch ist es zwar in Ordnung, aber… it’s OK as far as the figures go ( oder the numbers look good) but …* * *1. 2.* * *adj.arithmetical n.mathematical n. adv.arithmetically n.by way of calculation n.mathematically n. -
16 lógica
f.logic, method, logicality.* * *1 logic\lógica matemática mathematical logic* * *1. noun f. 2. f., (m. - lógico)* * *SF logiclógicológica borrosa, lógica difusa — fuzzy logic
* * *a) ( coherencia) logicb) (Fil) logic* * *= logic, ratio decidendi, reasonability.Ex. For example, class R Philosophy is first divided into such canonical divisions as Logic, Epistemology, Metaphysics, Ethics and Aesthetics.Ex. An online search of the WESTLAW and LEXIS databases, and examination of numerous cases with potential precedential value found the many dicta in judicial opinions to differ among jurisdictions, and found no ratio decidendi at all.Ex. A major objective of this project was also to demonstrate both the possibility and the reasonability of using handheld technology = Además, uno de los principales objetivos de este proyecto fue demostrar la posibilidad y la conveniencia de utilizar tecnología portátil para simplificar y normalizar el proceso de recogida de datos.----* base de datos de lógica difusa = fuzzy database.* conjunto aleatorio de lógica difusa = random fuzzy set.* conjunto de lógica difusa = fuzzy set.* conjuntos de lógica difusa = fuzzy clustering.* especialista en la lógica = logician.* lógica booleana = Boolean logic.* lógica borrosa = fuzzy logic.* lógica contextual = contextual logic.* lógica de búsqueda = search logic.* lógica de búsqueda por ponderación = weighted-term search logic.* lógica de términos ponderados = weighted term logic.* lógica difusa = fuzzy logic.* lógica imprecisa = fuzzy logic.* lógica matemática = mathematical logic.* lógica modal = modal logic.* lógica simbólica = symbolic logic.* modelo de lógica difusa = fuzzy model.* operador de lógica booleana = Boolean logic operator.* procesador de lógica difusa = fuzzy query processor.* recuperación de información de lógica difusa = fuzzy data retrieval.* señal lógica = logical signal.* sin lógica ni explicación = without rhyme or reason.* sistema de lógica difusa = fuzzy system.* suma lógica = logical sum.* técnica de recuperación por medio de la lógica difusa = fuzzy IR technique.* variable aleatoria de lógica difusa = fuzzy random variable.* * *a) ( coherencia) logicb) (Fil) logic* * *= logic, ratio decidendi, reasonability.Ex: For example, class R Philosophy is first divided into such canonical divisions as Logic, Epistemology, Metaphysics, Ethics and Aesthetics.
Ex: An online search of the WESTLAW and LEXIS databases, and examination of numerous cases with potential precedential value found the many dicta in judicial opinions to differ among jurisdictions, and found no ratio decidendi at all.Ex: A major objective of this project was also to demonstrate both the possibility and the reasonability of using handheld technology = Además, uno de los principales objetivos de este proyecto fue demostrar la posibilidad y la conveniencia de utilizar tecnología portátil para simplificar y normalizar el proceso de recogida de datos.* base de datos de lógica difusa = fuzzy database.* conjunto aleatorio de lógica difusa = random fuzzy set.* conjunto de lógica difusa = fuzzy set.* conjuntos de lógica difusa = fuzzy clustering.* especialista en la lógica = logician.* lógica booleana = Boolean logic.* lógica borrosa = fuzzy logic.* lógica contextual = contextual logic.* lógica de búsqueda = search logic.* lógica de búsqueda por ponderación = weighted-term search logic.* lógica de términos ponderados = weighted term logic.* lógica difusa = fuzzy logic.* lógica imprecisa = fuzzy logic.* lógica matemática = mathematical logic.* lógica modal = modal logic.* lógica simbólica = symbolic logic.* modelo de lógica difusa = fuzzy model.* operador de lógica booleana = Boolean logic operator.* procesador de lógica difusa = fuzzy query processor.* recuperación de información de lógica difusa = fuzzy data retrieval.* señal lógica = logical signal.* sin lógica ni explicación = without rhyme or reason.* sistema de lógica difusa = fuzzy system.* suma lógica = logical sum.* técnica de recuperación por medio de la lógica difusa = fuzzy IR technique.* variable aleatoria de lógica difusa = fuzzy random variable.* * *1 (coherencia) logiclo que hizo carece de toda lógica there was no logic to what she did, what she did was completely illogical2 ( Fil) logicCompuestos:mathematical logicformal o symbolic logic* * *
lógica sustantivo femenino
logic
lógico,-a adjetivo logical: es lógico que te enfades, it's natural for you to get angry
lógica sustantivo femenino logic: está fuera de toda lógica, it's completely illogical
' lógica' also found in these entries:
Spanish:
sentida
- sentido
- aplastante
- encontrar
English:
add up
- logic
- rationale
- hold
* * *lógica nf1. [ciencia] logicInformát lógica booleana Boolean logic; Informát lógica borrosa fuzzy logic; Informát lógica difusa fuzzy logic;lógica matemática mathematical logic2. [coherencia] logic;por lógica obviously;tener lógica to make sense;eso no tiene lógica that doesn't make any sense* * *f logic* * *lógica nf: logic* * *lógica n logic -
17 математическое ожидание
1) Computers: expected utility2) Military: expectancy3) Engineering: average, expectation value4) Mathematics: ( mathematical) mean value, EV (expected value), ensemble expectation, expectation, expectation function, first moment, mathematical expectation, mean of distribution, moral expectation, population mean, statistical expectation, universe mean5) Economy: expected value, mean value, theoretical mean value6) Statistics: assembly average, average of distribution, mean, probabilistic average, probabilistic mean, stochastic average, theoretic average, theoretical average7) Physics: ensemble average8) Information technology: universal mean9) Quality control: ensembly average, grand mean, theoretical mean, true mean10) Makarov: expectanceУниверсальный русско-английский словарь > математическое ожидание
-
18 dato
m.1 piece of information, fact (hecho, cifra).datos (personales) (personal) details2 Dato.pres.indicat.1st person singular (yo) present indicative of spanish verb: datar.* * *1 (información) fact, piece of information, datum■ no pudimos resolver el problema por falta de datos we couldn't solve the problem due to lack of information\datos personales personal details* * *noun m.fact, piece of information- datos* * *SM1) (=información) piece of informationun dato interesante — an interesting fact o piece of information
otro dato que tener en cuenta es... — another thing to bear in mind is...
datos personales — personal details, particulars
2) (Mat) datum* * *a) ( elemento de información) piece of informationalguien le pasó el dato a la policía — (CS) somebody informed o (colloq) tipped off the police
darle un dato a alguien — (CS) to give somebody a tip
b) datos masculino plural (Inf) data (pl), information* * *= attribute value, data element, data item, datum [data, -pl.], fact, value, piece of information.Ex. Others have used possibility distributions for representing fuzzily known or incompletely known attribute values.Ex. The Working Group undertook to determine from the data available what data elements should be included for each type of authority.Ex. Information is held in files or databases, which are comprise of records, which in turn are comprised of fields or data items, which again may be comprised of subfields or data elements.Ex. Thus, having entered the authority datum correctly once, we could be sure that no matter how many bibliographic records used it they would all do so with mechanical consistency.Ex. Other data bases, which may be described as non-bibliographic, and are sometimes known as data banks, store actual facts and figures and text.Ex. A good initial value for this field will start the system off with a good guess so that claims for missing issues are not unreasonable at the beginning.Ex. On other occasions a user wants every document or piece of information on a topic traced, and then high recall must be sought, to the detriment of precision.----* alimentar datos = populate.* almacenamiento de datos = data storage.* añadir datos = make + additions.* archivo de datos = database [data base].* área de datos específicos de la clase de documento = material (or type of publication) specific details area.* área de datos matemáticos = mathematical data area.* auditoría de datos = data auditing, data audit.* banco de datos = data bank [databank], factual data bank.* banco de datos factual = factual data bank.* banco de datos terminológico = terminological data bank.* basado en los datos = data-driven.* basado en un gestor de bases de datos = DBMS-based.* base de datos = data bank [databank], database [data base], database software.* base de datos automatizada = computer database, computer-held database, computerised database, machine-readable database.* base de datos bibliográfica = bibliographic database.* base de datos bibliográfica de resúmenes = abstracts based bibliographic database.* base de datos catalográfica = catalogue database.* base de datos completa = full-provision database.* base de datos con información confidencial = intelligence database.* base de datos cruzada = cross database.* base de datos de acceso mediante suscripción = subscription database.* base de datos de autoridades = authority database.* base de datos de carburantes = TULSA.* base de datos de documentos primarios = source database.* base de datos de documentos secundarios = reference database.* base de datos de dominio público = public domain database.* base de datos de educación = ERIC.* base de datos de imágenes = image database, image bank.* base de datos de investigación = research database.* base de datos del gobierno de USA = CRECORD, FEDREG.* base de datos de lógica difusa = fuzzy database.* base de datos de medicina = MEDLINE.* base de datos de negocios = business database.* base de datos de pago = subscription database.* base de datos de patentes = WPI.* base de datos de propiedades = properties database.* base de datos de referencia = reference database.* base de datos de referencia a especialistas = referral database.* base de datos de registros de catálogo = catalogue record database.* base de datos de texto = text-oriented database, text database.* base de datos de texto completo = full text database.* base de datos de texto libre = free text database.* base de datos dirigida a un mercado específico = niche database.* base de datos distribuida = distributed database.* base de datos en CD-ROM = CD-ROM database.* base de datos en disco óptico = optical disc database.* base de datos en estado original = raw database.* base de datos en línea = online database.* base de datos estadística = statistical database.* base de datos externa = external database.* base de datos factual = factual database.* base de datos interna = in-house database.* base de datos jurídica = legal database.* base de datos multimedia = multimedia database.* base de datos no bibliográfica = non-bibliographic database.* base de datos numérica = numeric database, numerical database.* base de datos relacional = relational database.* base de datos residente = resident database.* base de datos terminológica = terminology database.* bloque de datos = data bloc.* bloque funcional de datos codificados = coded information block.* búfer de datos = data buffer.* bus de datos = databus.* búsqueda de datos = fact-finding.* campo de datos = datafield.* capturar datos = capture + data.* centro de datos = data centre.* codificación de datos = data-coding [data coding].* con datos no pertinentes = dirty [dirtier -comp., dirtiest -sup.].* conjunto de datos = data set [dataset].* contaminación de datos = data contamination.* corrupción de datos = data corruption.* creación de depósitos de datos = data warehousing.* creador de bases de datos = database producer.* dar datos de = give + details of.* dato concreto = hard fact.* datos = data [datum, -sing.], details, figure.* datos bibliográficos = bibliographic data, bibliodata.* datos biográficos = biodata.* datos concretos = specifics, the.* datos concretos y reales = hard data.* datos de contacto = contact details.* datos de entrada = input data.* datos de la tarjeta de crédito = credit card details.* datos demográficos = demographics.* datos desagregados por sexo = gender-disaggregated data.* datos empíricos = empirical data.* datos en bruto = raw data.* datos en estado bruto = raw facts.* datos en propiedad = property data.* datos erróneos = dirty data.* datos estadísticos = statistics, statistical data.* datos estadísticos de la biblioteca = library records, library statistics.* datos factuales = factual data.* datos legibles por máquina = machine-readable data.* datos numéricos = numerical data.* datos personales = personal details.* datos privados = property data.* de lectura de datos = data-capture.* depósito de datos = data warehouse.* depuración de datos = data cleaning.* descubrimiento de datos = data mining.* descubrimiento de información en las bases de datos = knowledge discovery in databases (KDD).* directorio de empresas en base de datos = company directory database.* dispositivo de almacenamiento de datos = store.* distribuidor de bases de datos = host system.* distribuidor de bases de datos en línea = online vendor.* EDI (Intercambio Electrónico de Datos) = EDI (Electronic Data Interchange).* entrada de datos = data entry, input, inputting.* entrada de datos sólo una vez = one-time entry.* estructura de datos = data structure.* extracción inteligente de datos = data mining.* fichero de salida de datos = communication output file.* gestión de bases de datos = database management.* gestión de datos = data handling.* gestor de bases de datos = DBMS system.* gestor de bases de datos relacionales = relational database management system.* grupo de datos = data set [dataset].* hoja con los datos básicos para Hacer Algo = data sheet [datasheet].* hoja de toma de datos = checklist [check-list], data sheet [datasheet].* impreso de recogida de datos = enquiry form, inquiry form.* industria de las bases de datos = database industry.* inserción de datos = input.* instrumento de recogida de datos = data collection instrument.* introducción de datos utilizando un teclado = keypunching.* introducir datos = key + data.* introducir datos en el ordenador = input.* introducir datos partiendo de cero = enter from + scratch.* introductor de datos en un ordenador = inputter.* limpieza de datos = data cleaning.* lista de datos = fact finder.* localización de datos = addressing.* manipulación de datos = data manipulation.* memoria intermedia de datos = data buffer.* memorizar datos = memorise + facts.* meta base de datos = meta-database.* migración de datos = data migration.* minería de datos = data mining.* modo de introducción de datos = input mode.* montar una base de datos = mount + database.* norma de entrada de datos = input standard.* operación sobre datos = data manipulation.* operario de entrada de datos = data entry operator.* paquete de entrada y comprobación de datos = data entry and validation package.* pérdida de datos = data loss.* personal de proceso de datos = operation staff.* preparación de los datos = data preparation.* procesamiento de datos = data processing.* procesamiento de datos numéricos = number-crunching.* proceso de datos = data processing, transaction processing.* productor de bases de datos = database producer.* programa de gestión de bases de datos = database management software.* protección de datos = data protection.* prototipo para el proceso de datos = data modelling.* proveedor de bases de datos = database provider.* recabar datos = solicit + data.* recoger datos = collect + data.* recoger datos para hacer estadísticas = collect + statistics.* recogida de datos = data collection, data gathering [data-gathering], fact-gathering, reporting, data collecting.* salida de datos = output.* sistema de proceso de datos = data processing system.* Sistema Internacional de Datos sobre Publicaciones Seriadas (ISDS) = ISDS (International Serials Data System).* suministrar datos = furnish + details.* suministro de datos = reporting.* tecla de borrado de datos = ERASE INPUT key.* tecla de introducción de datos = ENTER key.* técnico encargado del proceso de datos = data-processing professional.* tiempo de descarga de datos = download time, latency.* tráfico de datos de un modo intermitente = bursty traffic.* transformación de datos = data transformation.* transmisión de datos = data-flow, data transfer, data transmission.* tratamiento de datos = transaction processing.* unidad de datos = unit of data.* verificación de los datos = fact checking.* vía de transmisión de datos = data pathway, pathway.* * *a) ( elemento de información) piece of informationalguien le pasó el dato a la policía — (CS) somebody informed o (colloq) tipped off the police
darle un dato a alguien — (CS) to give somebody a tip
b) datos masculino plural (Inf) data (pl), information* * *= attribute value, data element, data item, datum [data, -pl.], fact, value, piece of information.Ex: Others have used possibility distributions for representing fuzzily known or incompletely known attribute values.
Ex: The Working Group undertook to determine from the data available what data elements should be included for each type of authority.Ex: Information is held in files or databases, which are comprise of records, which in turn are comprised of fields or data items, which again may be comprised of subfields or data elements.Ex: Thus, having entered the authority datum correctly once, we could be sure that no matter how many bibliographic records used it they would all do so with mechanical consistency.Ex: Other data bases, which may be described as non-bibliographic, and are sometimes known as data banks, store actual facts and figures and text.Ex: A good initial value for this field will start the system off with a good guess so that claims for missing issues are not unreasonable at the beginning.Ex: On other occasions a user wants every document or piece of information on a topic traced, and then high recall must be sought, to the detriment of precision.* alimentar datos = populate.* almacenamiento de datos = data storage.* añadir datos = make + additions.* archivo de datos = database [data base].* área de datos específicos de la clase de documento = material (or type of publication) specific details area.* área de datos matemáticos = mathematical data area.* auditoría de datos = data auditing, data audit.* banco de datos = data bank [databank], factual data bank.* banco de datos factual = factual data bank.* banco de datos terminológico = terminological data bank.* basado en los datos = data-driven.* basado en un gestor de bases de datos = DBMS-based.* base de datos = data bank [databank], database [data base], database software.* base de datos automatizada = computer database, computer-held database, computerised database, machine-readable database.* base de datos bibliográfica = bibliographic database.* base de datos bibliográfica de resúmenes = abstracts based bibliographic database.* base de datos catalográfica = catalogue database.* base de datos completa = full-provision database.* base de datos con información confidencial = intelligence database.* base de datos cruzada = cross database.* base de datos de acceso mediante suscripción = subscription database.* base de datos de autoridades = authority database.* base de datos de carburantes = TULSA.* base de datos de documentos primarios = source database.* base de datos de documentos secundarios = reference database.* base de datos de dominio público = public domain database.* base de datos de educación = ERIC.* base de datos de imágenes = image database, image bank.* base de datos de investigación = research database.* base de datos del gobierno de USA = CRECORD, FEDREG.* base de datos de lógica difusa = fuzzy database.* base de datos de medicina = MEDLINE.* base de datos de negocios = business database.* base de datos de pago = subscription database.* base de datos de patentes = WPI.* base de datos de propiedades = properties database.* base de datos de referencia = reference database.* base de datos de referencia a especialistas = referral database.* base de datos de registros de catálogo = catalogue record database.* base de datos de texto = text-oriented database, text database.* base de datos de texto completo = full text database.* base de datos de texto libre = free text database.* base de datos dirigida a un mercado específico = niche database.* base de datos distribuida = distributed database.* base de datos en CD-ROM = CD-ROM database.* base de datos en disco óptico = optical disc database.* base de datos en estado original = raw database.* base de datos en línea = online database.* base de datos estadística = statistical database.* base de datos externa = external database.* base de datos factual = factual database.* base de datos interna = in-house database.* base de datos jurídica = legal database.* base de datos multimedia = multimedia database.* base de datos no bibliográfica = non-bibliographic database.* base de datos numérica = numeric database, numerical database.* base de datos relacional = relational database.* base de datos residente = resident database.* base de datos terminológica = terminology database.* bloque de datos = data bloc.* bloque funcional de datos codificados = coded information block.* búfer de datos = data buffer.* bus de datos = databus.* búsqueda de datos = fact-finding.* campo de datos = datafield.* capturar datos = capture + data.* centro de datos = data centre.* codificación de datos = data-coding [data coding].* con datos no pertinentes = dirty [dirtier -comp., dirtiest -sup.].* conjunto de datos = data set [dataset].* contaminación de datos = data contamination.* corrupción de datos = data corruption.* creación de depósitos de datos = data warehousing.* creador de bases de datos = database producer.* dar datos de = give + details of.* dato concreto = hard fact.* datos = data [datum, -sing.], details, figure.* datos bibliográficos = bibliographic data, bibliodata.* datos biográficos = biodata.* datos concretos = specifics, the.* datos concretos y reales = hard data.* datos de contacto = contact details.* datos de entrada = input data.* datos de la tarjeta de crédito = credit card details.* datos demográficos = demographics.* datos desagregados por sexo = gender-disaggregated data.* datos empíricos = empirical data.* datos en bruto = raw data.* datos en estado bruto = raw facts.* datos en propiedad = property data.* datos erróneos = dirty data.* datos estadísticos = statistics, statistical data.* datos estadísticos de la biblioteca = library records, library statistics.* datos factuales = factual data.* datos legibles por máquina = machine-readable data.* datos numéricos = numerical data.* datos personales = personal details.* datos privados = property data.* de lectura de datos = data-capture.* depósito de datos = data warehouse.* depuración de datos = data cleaning.* descubrimiento de datos = data mining.* descubrimiento de información en las bases de datos = knowledge discovery in databases (KDD).* directorio de empresas en base de datos = company directory database.* dispositivo de almacenamiento de datos = store.* distribuidor de bases de datos = host system.* distribuidor de bases de datos en línea = online vendor.* EDI (Intercambio Electrónico de Datos) = EDI (Electronic Data Interchange).* entrada de datos = data entry, input, inputting.* entrada de datos sólo una vez = one-time entry.* estructura de datos = data structure.* extracción inteligente de datos = data mining.* fichero de salida de datos = communication output file.* gestión de bases de datos = database management.* gestión de datos = data handling.* gestor de bases de datos = DBMS system.* gestor de bases de datos relacionales = relational database management system.* grupo de datos = data set [dataset].* hoja con los datos básicos para Hacer Algo = data sheet [datasheet].* hoja de toma de datos = checklist [check-list], data sheet [datasheet].* impreso de recogida de datos = enquiry form, inquiry form.* industria de las bases de datos = database industry.* inserción de datos = input.* instrumento de recogida de datos = data collection instrument.* introducción de datos utilizando un teclado = keypunching.* introducir datos = key + data.* introducir datos en el ordenador = input.* introducir datos partiendo de cero = enter from + scratch.* introductor de datos en un ordenador = inputter.* limpieza de datos = data cleaning.* lista de datos = fact finder.* localización de datos = addressing.* manipulación de datos = data manipulation.* memoria intermedia de datos = data buffer.* memorizar datos = memorise + facts.* meta base de datos = meta-database.* migración de datos = data migration.* minería de datos = data mining.* modo de introducción de datos = input mode.* montar una base de datos = mount + database.* norma de entrada de datos = input standard.* operación sobre datos = data manipulation.* operario de entrada de datos = data entry operator.* paquete de entrada y comprobación de datos = data entry and validation package.* pérdida de datos = data loss.* personal de proceso de datos = operation staff.* preparación de los datos = data preparation.* procesamiento de datos = data processing.* procesamiento de datos numéricos = number-crunching.* proceso de datos = data processing, transaction processing.* productor de bases de datos = database producer.* programa de gestión de bases de datos = database management software.* protección de datos = data protection.* prototipo para el proceso de datos = data modelling.* proveedor de bases de datos = database provider.* recabar datos = solicit + data.* recoger datos = collect + data.* recoger datos para hacer estadísticas = collect + statistics.* recogida de datos = data collection, data gathering [data-gathering], fact-gathering, reporting, data collecting.* salida de datos = output.* sistema de proceso de datos = data processing system.* Sistema Internacional de Datos sobre Publicaciones Seriadas (ISDS) = ISDS (International Serials Data System).* suministrar datos = furnish + details.* suministro de datos = reporting.* tecla de borrado de datos = ERASE INPUT key.* tecla de introducción de datos = ENTER key.* técnico encargado del proceso de datos = data-processing professional.* tiempo de descarga de datos = download time, latency.* tráfico de datos de un modo intermitente = bursty traffic.* transformación de datos = data transformation.* transmisión de datos = data-flow, data transfer, data transmission.* tratamiento de datos = transaction processing.* unidad de datos = unit of data.* verificación de los datos = fact checking.* vía de transmisión de datos = data pathway, pathway.* * *1 (elemento de información) piece of informationno tengo más datos que el título de la obra the only thing I know about the work is its title, the only information I have about the work is its titleno dispongo de todos los datos I don't have all the information o details o factsme han dado un dato muy interesante (CS); I've been given a very interesting piece of information o ( colloq) a hot tipte voy a dar un dato, si no lo enchufas no funciona (CS hum); let me give you a tip: it won't work unless you plug it inCompuesto:* * *
Del verbo datar: ( conjugate datar)
dato es:
1ª persona singular (yo) presente indicativo
dató es:
3ª persona singular (él/ella/usted) pretérito indicativo
Multiple Entries:
datar
dato
datar ( conjugate datar) verbo intransitivo
to date;
data de hace muchos años it goes back many years
dato sustantivo masculino
datos personales personal details (pl)b)
datar
I verbo transitivo to date, put a date on
II verbo intransitivo datar de, to date back to o from: este libro data de la Edad Media, this book dates back to the Middle Ages
dato sustantivo masculino
1 piece of information 2 datos, Inform data
(pormenores) information: no tengo más datos sobre este autor, I don't have any more details about his author
datos personales, personal details
La traducción de dato es datum, pero solo se usa en situaciones muy formales. La traducción de datos es data (plural irregular). El singular más común de data es a piece of information.
' dato' also found in these entries:
Spanish:
filtrar
- filtración
- informativa
- informativo
- relevante
- consignar
- consultar
- equivocado
- falso
English:
data
- information
- tip
* * *dato nm1. [hecho, cifra] piece of information, fact;lo que necesitamos son datos concretos what we need is hard facts;el alto desempleo es un dato que hay que tener en cuenta the high level of unemployment is a factor which has to be borne in mind;datos [información] information, data;si no me das más datos, no voy a poderte aconsejar unless you give me more information, I won't be able to advise you;el ministerio aún no cuenta con todos los datos the ministry does not yet have all the information at its disposal;datos (personales) (personal) details;déjenos sus datos y nos pondremos en contacto con usted leave us your details and we will get in touch with youdatos bancarios bank details;datos estadísticos statistical data* * *m piece of information;datos pl information sg, data sg* * *dato nm1) : fact, piece of information2) datos nmpl: data, information* * *dato n (información) piece of information -
19 importancia
f.importance.dar importancia a algo to attach importance to somethingdarse importancia to give oneself airsde importancia important, of importancesin importancia unimportantquitar importancia a algo to play something down* * *1 importance\dar importancia a algo to take something seriouslydarse importancia to give oneself airsno tiene importancia it's nothing, it doesn't matter, it's not importantquitar importancia a algo, restar importancia a algo to play something downsin importancia unimportanttener importancia to be important* * *noun f.* * *SF importancetu ayuda ha sido de gran importancia — your help has been very important o of great importance
¿y eso qué importancia tiene? — and how is that important o significant?, and what significance does that have?
no te preocupes, no tiene importancia — don't worry, it's not important
•
carecer de importancia — to be unimportantno quiero darle más importancia de la que tiene, pero... — I don't want to make an issue of this but...
•
darse importancia — to give o.s. airs* * *femenino importancedetalles sin importancia — minor o insignificant details
concederle or darle importancia a algo — to attach importance to something
quitarle or restarle importancia a algo — to play down the importance of something
¿y eso qué importancia tiene? — so what?
darse importancia — to give oneself airs
* * *= importance, merit, notability, pre-eminence [preeminence], prominence, significance, standing, stature, value, distinction, visibility, centrality, meaningfulness, worthwhileness, profile, premium, import, fuse, consequence.Ex. This format is becoming common in new thesauri, partly because the recognition of the importance of viewing both relationships and subject terms in one tool.Ex. Much will be said later about the merits and drawbacks of the various types of index and approaches to indexing.Ex. Its notability is seen to lie in the fact that it has significantly broken the stranglehold upon postgraduate studentships in the gift of the Science and Engineering Research Council.Ex. Despite its pre-eminence, or possibly because of it, DC has its critics.Ex. Weights are a quantitative measure of the prominence of various index terms in the description of a subject and may form the basis of an alternative search logic.Ex. Whatever viewpoint is taken, it is difficult to dispute the significance of AACR1.Ex. Their sheer institutional standing and regard have had a bearing upon the creation of a situation which is a good deal better than it might otherwise have been.Ex. Merely having the materials available will not provide the desired boost to the library's stature unless the collection is exceptional.Ex. This stop list is input to the computer before indexing can commence, and is a list of the words which appear in text which have no value as access words in an index.Ex. Mystery and detective stories, love and romance fiction, adventure and western stories, recent novels widely publicized but of little literary distinction, popularizations of current affairs characterized by sensationalism and easy dogmatism rather than by dispassionate and qualified analysis -- these and similar books are widely circulated by the public library.Ex. The new director considers that there is need for recruitment of librarians from all backgrounds into the profession and that librarianship needs higher visibility within society.Ex. Gilman advocated the academic library's centrality to research.Ex. The author challenges the meaningfulness of precision and recall values as a measure of performance of a retrieval system.Ex. But it always assumes the importance, the worthwhileness, of human experience even when -- as in tragedy -- it finds much in that experience evil.Ex. There is also a further dilemma concerning formats such as film and audio which have tended to receive a lower profile in the library world (too awkward, too cluttered with copyright restrictions, too technically instable).Ex. To presuppose that clients will continue to travel to defined locations earmarked as libraries in search of information is to deny the premium on time prevalent in today's culture.Ex. A new set of conventions has had to be developed, using mathematical symbols mainly, which have international import.Ex. Accessibility is the most important factor in determining the level of fuse of an information source.Ex. I am looking for guidance on a potential digitization project of some consequence.----* adquirir importancia = assume + importance, attain + importance, come up, take on + added weight, gain + significance, move up + the agenda, gain + importance, gain in + importance.* adquirir importancia histórica = make + history, go down in + history.* asunto de importancia = matter of weight, matter of consequence.* asunto sin importancia = matter of no consequence.* aumentar de importancia = grow in + importance, grow in + significance.* clasificar en orden de importancia = rank + in order of importance.* cobrar importancia = assume + importance, take on + added weight, move up + the agenda, gain + importance, be on the agenda.* conceder importancia = accord + significance level, attach + importance, place + importance.* conceder mucha importancia a = lay + great store on.* concienciar a Alguien de la importancia de la información = raise + information awareness.* consciente de la importancia de la información = information conscious.* crecer en importancia = grow from + strength to strength, increase in + importance.* cuestión de importancia = matter of consequence.* cuestión sin importancia = matter of no consequence.* dar a Algo más importancia de la que tiene = oversell.* dar bastante importancia a = place + great store on.* dar importancia = attach + importance, give + prominence, stress, give + pre-eminence, give + relevance, place + importance, give + importance.* dar importancia a = give + weight to, place + emphasis on, attach + weight to, create + a high profile for, give + a high profile, place + weight on.* dar importancia a Algo = put + Algo + on the agenda, be on the agenda.* dar mayor importancia a = give + pride of place to.* dar mucha importancia = put + a premium on.* de capital importancia = momentous, of cardinal importance.* de crucial importancia = crucially important.* de especial importancia = of particular note.* de fundamental importancia = of prime importance, critically important.* de importancia = of note, of consequence.* de importancia creciente = of growing importance.* de importancia crucial = crucially important.* de importancia fundamental = critically important.* de importancia secundaria = incidental.* de mayor o menor importancia = great and small.* de menor importancia = fringe subject, of fringe interest.* de menor importancia para = on the fringe of.* de poca importancia = menial, small-time.* de primordial importancia = of prime importance, of paramount importance.* de segunda importancia = marginal, back burner, on the back burner, second in importance.* de segunda importancia en relación con = secondary to.* destacar la importa = underscore + importance.* destacar la importancia de = stress + the importance of, emphasise + the importance of, highlight + the importance of.* de suma importancia = of the utmost importance, of utmost importance.* de suprema importancia = of the highest significance.* de tercera importancia = tertiary.* de vital importancia = vitally important.* disminuir la importancia de = lessen + the importance of.* donde el tiempo es de suma importancia = time-critical.* en orden de importancia = in rank order, in order.* falta de importancia = worthlessness.* ganar cada vez más importancia = go from + strength to strength, grow from + strength to strength.* ganar importancia = grow in + importance, grow in + strength, gain + prominence, grow in + significance, gain + significance, gain in + importance.* gente de poca importancia = small fry, the.* importancia cada vez mayor = growing importance, growing significance.* importancia histórica = historical significance.* importancia primordial = key importance.* importancia + radicar = the importance of + Nombre + lie.* importancia + residir = the importance of + Nombre + lie.* importancia + yacer = the importance of + Nombre + lie.* minimizar la importancia = minimise + importance.* nada de importancia = nothing in particular.* no darle demasiada importancia a Algo = think + little of.* no darle demasiada importancia a + Infinitivo = think + nothing of + Gerundio.* no darle importancia a = think + very little about/of.* no percatarse de la importancia de Algo = have + no feeling for.* no poder dejar de recalcar la importancia de Algo = cannot + give + too much emphasis + to the importance of, the importance of + Nombre + cannot be stressed too strongly.* no se puede dejar de recalcar la importancia de Algo = the importance of + Nombre + cannot be overemphasised, the importance of + Nombre + cannot be overstressed, the importance of + Nombre + cannot be overstated.* no tener importancia = be of no importance, make + no difference, be of no consequence.* no tener la menor importancia = be of no particular concern.* ordenar por orden de importancia = rank + in order.* orden decreciente de importancia = decreasing order of importance.* orden de importancia = significance order of terms, pecking order, significance order.* pérdida de importancia = demise, swing away from.* poca importancia = unimportance, low profile.* poner de relieve la importancia = underscore + importance.* prestar importancia a = place + weight on.* que le presta gran importancia a la cultura = culture-conscious.* quitar importancia = de-emphasise [de-emphasize, -USA], understate, trivialise [trivialize, -USA], minimise + importance, downplay, gloss over, negate, soft-pedal.* quitar importancia a un problema = trivialise + trouble.* quitarle importancia a las cosas = make + light of things.* realzar la importancia = heighten + importance.* recalcar la importancia de = stress + the importance of.* recibir importancia = enjoy + prominence.* remarcar la importancia = underline + importance.* resaltar la importancia = underscore + importance.* resaltar la importancia de = stress + the importance of, emphasise + the importance of, highlight + the importance of.* restar importancia = minimise + importance, downplay, gloss over, negate, soft-pedal.* restarle importancia a las cosas = make + light of things.* ser de importancia primordial = be of key importance.* ser de importancia vital = lie at + the heart of.* sin darle importancia = airily.* sin importancia = negligible, unimportant, trifling, immaterial, of no consequence.* subrayar la importancia = underline + importance, underscore + importance.* tema de secundaria importancia = footnote.* tener gran importancia = be of high significance.* tener importancia = carry + weight, have + high profile, be of consequence.* tener la misma importancia = carry + equal weight.* * *femenino importancedetalles sin importancia — minor o insignificant details
concederle or darle importancia a algo — to attach importance to something
quitarle or restarle importancia a algo — to play down the importance of something
¿y eso qué importancia tiene? — so what?
darse importancia — to give oneself airs
* * *= importance, merit, notability, pre-eminence [preeminence], prominence, significance, standing, stature, value, distinction, visibility, centrality, meaningfulness, worthwhileness, profile, premium, import, fuse, consequence.Ex: This format is becoming common in new thesauri, partly because the recognition of the importance of viewing both relationships and subject terms in one tool.
Ex: Much will be said later about the merits and drawbacks of the various types of index and approaches to indexing.Ex: Its notability is seen to lie in the fact that it has significantly broken the stranglehold upon postgraduate studentships in the gift of the Science and Engineering Research Council.Ex: Despite its pre-eminence, or possibly because of it, DC has its critics.Ex: Weights are a quantitative measure of the prominence of various index terms in the description of a subject and may form the basis of an alternative search logic.Ex: Whatever viewpoint is taken, it is difficult to dispute the significance of AACR1.Ex: Their sheer institutional standing and regard have had a bearing upon the creation of a situation which is a good deal better than it might otherwise have been.Ex: Merely having the materials available will not provide the desired boost to the library's stature unless the collection is exceptional.Ex: This stop list is input to the computer before indexing can commence, and is a list of the words which appear in text which have no value as access words in an index.Ex: Mystery and detective stories, love and romance fiction, adventure and western stories, recent novels widely publicized but of little literary distinction, popularizations of current affairs characterized by sensationalism and easy dogmatism rather than by dispassionate and qualified analysis -- these and similar books are widely circulated by the public library.Ex: The new director considers that there is need for recruitment of librarians from all backgrounds into the profession and that librarianship needs higher visibility within society.Ex: Gilman advocated the academic library's centrality to research.Ex: The author challenges the meaningfulness of precision and recall values as a measure of performance of a retrieval system.Ex: But it always assumes the importance, the worthwhileness, of human experience even when -- as in tragedy -- it finds much in that experience evil.Ex: There is also a further dilemma concerning formats such as film and audio which have tended to receive a lower profile in the library world (too awkward, too cluttered with copyright restrictions, too technically instable).Ex: To presuppose that clients will continue to travel to defined locations earmarked as libraries in search of information is to deny the premium on time prevalent in today's culture.Ex: A new set of conventions has had to be developed, using mathematical symbols mainly, which have international import.Ex: Accessibility is the most important factor in determining the level of fuse of an information source.Ex: I am looking for guidance on a potential digitization project of some consequence.* adquirir importancia = assume + importance, attain + importance, come up, take on + added weight, gain + significance, move up + the agenda, gain + importance, gain in + importance.* adquirir importancia histórica = make + history, go down in + history.* asunto de importancia = matter of weight, matter of consequence.* asunto sin importancia = matter of no consequence.* aumentar de importancia = grow in + importance, grow in + significance.* clasificar en orden de importancia = rank + in order of importance.* cobrar importancia = assume + importance, take on + added weight, move up + the agenda, gain + importance, be on the agenda.* conceder importancia = accord + significance level, attach + importance, place + importance.* conceder mucha importancia a = lay + great store on.* concienciar a Alguien de la importancia de la información = raise + information awareness.* consciente de la importancia de la información = information conscious.* crecer en importancia = grow from + strength to strength, increase in + importance.* cuestión de importancia = matter of consequence.* cuestión sin importancia = matter of no consequence.* dar a Algo más importancia de la que tiene = oversell.* dar bastante importancia a = place + great store on.* dar importancia = attach + importance, give + prominence, stress, give + pre-eminence, give + relevance, place + importance, give + importance.* dar importancia a = give + weight to, place + emphasis on, attach + weight to, create + a high profile for, give + a high profile, place + weight on.* dar importancia a Algo = put + Algo + on the agenda, be on the agenda.* dar mayor importancia a = give + pride of place to.* dar mucha importancia = put + a premium on.* de capital importancia = momentous, of cardinal importance.* de crucial importancia = crucially important.* de especial importancia = of particular note.* de fundamental importancia = of prime importance, critically important.* de importancia = of note, of consequence.* de importancia creciente = of growing importance.* de importancia crucial = crucially important.* de importancia fundamental = critically important.* de importancia secundaria = incidental.* de mayor o menor importancia = great and small.* de menor importancia = fringe subject, of fringe interest.* de menor importancia para = on the fringe of.* de poca importancia = menial, small-time.* de primordial importancia = of prime importance, of paramount importance.* de segunda importancia = marginal, back burner, on the back burner, second in importance.* de segunda importancia en relación con = secondary to.* destacar la importa = underscore + importance.* destacar la importancia de = stress + the importance of, emphasise + the importance of, highlight + the importance of.* de suma importancia = of the utmost importance, of utmost importance.* de suprema importancia = of the highest significance.* de tercera importancia = tertiary.* de vital importancia = vitally important.* disminuir la importancia de = lessen + the importance of.* donde el tiempo es de suma importancia = time-critical.* en orden de importancia = in rank order, in order.* falta de importancia = worthlessness.* ganar cada vez más importancia = go from + strength to strength, grow from + strength to strength.* ganar importancia = grow in + importance, grow in + strength, gain + prominence, grow in + significance, gain + significance, gain in + importance.* gente de poca importancia = small fry, the.* importancia cada vez mayor = growing importance, growing significance.* importancia histórica = historical significance.* importancia primordial = key importance.* importancia + radicar = the importance of + Nombre + lie.* importancia + residir = the importance of + Nombre + lie.* importancia + yacer = the importance of + Nombre + lie.* minimizar la importancia = minimise + importance.* nada de importancia = nothing in particular.* no darle demasiada importancia a Algo = think + little of.* no darle demasiada importancia a + Infinitivo = think + nothing of + Gerundio.* no darle importancia a = think + very little about/of.* no percatarse de la importancia de Algo = have + no feeling for.* no poder dejar de recalcar la importancia de Algo = cannot + give + too much emphasis + to the importance of, the importance of + Nombre + cannot be stressed too strongly.* no se puede dejar de recalcar la importancia de Algo = the importance of + Nombre + cannot be overemphasised, the importance of + Nombre + cannot be overstressed, the importance of + Nombre + cannot be overstated.* no tener importancia = be of no importance, make + no difference, be of no consequence.* no tener la menor importancia = be of no particular concern.* ordenar por orden de importancia = rank + in order.* orden decreciente de importancia = decreasing order of importance.* orden de importancia = significance order of terms, pecking order, significance order.* pérdida de importancia = demise, swing away from.* poca importancia = unimportance, low profile.* poner de relieve la importancia = underscore + importance.* prestar importancia a = place + weight on.* que le presta gran importancia a la cultura = culture-conscious.* quitar importancia = de-emphasise [de-emphasize, -USA], understate, trivialise [trivialize, -USA], minimise + importance, downplay, gloss over, negate, soft-pedal.* quitar importancia a un problema = trivialise + trouble.* quitarle importancia a las cosas = make + light of things.* realzar la importancia = heighten + importance.* recalcar la importancia de = stress + the importance of.* recibir importancia = enjoy + prominence.* remarcar la importancia = underline + importance.* resaltar la importancia = underscore + importance.* resaltar la importancia de = stress + the importance of, emphasise + the importance of, highlight + the importance of.* restar importancia = minimise + importance, downplay, gloss over, negate, soft-pedal.* restarle importancia a las cosas = make + light of things.* ser de importancia primordial = be of key importance.* ser de importancia vital = lie at + the heart of.* sin darle importancia = airily.* sin importancia = negligible, unimportant, trifling, immaterial, of no consequence.* subrayar la importancia = underline + importance, underscore + importance.* tema de secundaria importancia = footnote.* tener gran importancia = be of high significance.* tener importancia = carry + weight, have + high profile, be of consequence.* tener la misma importancia = carry + equal weight.* * *importancetemas de gran importancia matters of great importance o significance o ( frml) of great importésos son detalles sin importancia those are minor o unimportant o insignificant detailstrató de quitarle or restarle importancia al problema she tried to make light of the problem, she tried to play down the importance of the problemno debemos darle tanta importancia a este tema we should not make so much of this matter, we should not attach too much importance to this mattersiento llegar tarde — no tiene importancia I'm sorry I'm late — it doesn't matter¿y eso qué importancia tiene? so what?darse importancia to give oneself airs* * *
importancia sustantivo femenino
importance;
quitarle importancia a algo to play down the importance of sth;
detalles sin importancia minor o insignificant details;
no tiene importancia it doesn't matter;
darse importancia to give oneself airs
importancia sustantivo femenino importance, significance: no te preocupes, no tiene importancia, don't worry, it's nothing
el accidente fue de cierta importancia, the accident was quite serious
dar importancia a, to attach importance to
quitarle importancia a algo, to play down the importance of sthg
sin importancia, unimportant
♦ Locuciones: darse importancia, to give oneself airs
' importancia' also found in these entries:
Spanish:
acento
- acentuar
- alta
- alto
- bagatela
- calibre
- cobrar
- conceder
- dimensión
- énfasis
- entidad
- envergadura
- escatológico
- fallo
- ignorar
- incidir
- insignificancia
- insistir
- interés
- levedad
- marcar
- minúscula
- minúsculo
- niñería
- palidecer
- pequeña
- pequeño
- primera
- primero
- primordial
- protagonismo
- quitar
- recalcar
- relativa
- relativo
- relieve
- representar
- restar
- revestir
- subrayar
- suceso
- suma
- sumo
- talla
- tontería
- valor
- vital
- vuelo
- alguno
- capital
English:
account
- attach
- count
- emphasize
- importance
- incidental
- irrelevant
- issue
- light
- little
- major
- matter
- mind
- minimize
- minor
- moment
- momentous
- override
- paramount
- play down
- primary
- prime
- prominence
- read
- ride
- shrug off
- significance
- smooth over
- store
- thrust forward
- unimportant
- vital
- vitally
- all
- all right
- consideration
- descend
- detail
- emphasis
- gloss
- hot
- import
- magistrate
- menial
- play
- small
- trifling
- utmost
* * *importancia nfimportance;de importancia important, of importance;un tratamiento médico reservado a los casos de importancia a treatment reserved for serious cases;un arquitecto de importancia an important architect;recibió un golpe de cierta importancia he took a fairly heavy knock;dar importancia a algo to attach importance to sth;darse importancia to give oneself airs;no tiene importancia [no es importante] it's not important;[no pasa nada] it doesn't matter;sin importancia unimportant;ha sido un rasguño sin importancia it's only a little scratch;* * *f importance;dar importancia a attach importance to;quitar orestar importancia a algo make light of sth, play sth down;tener importancia be important;no tiene importancia it’s not important, it doesn’t matter;sin importancia unimportant;darse importancia give o.s. airs* * *importancia nf: importance* * *importancia n importancetener importancia to be important / to matter -
20 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.■ Bloom, A. (1981). The linguistic shaping of thought: A study in the impact of language on thinking in China and the West. Hillsdale, NJ: Erlbaum.■ 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.■ Calvin, W. H. (1990). The cerebral symphony: Seashore reflections on the structure of consciousness. New York: Bantam.■ 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.■ 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.■ 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-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.■ 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. (1991a). Artificial intelligence and human cognition: A theoretical inter comparison of two realms of intellect. Westport, CT: Praeger.■ Wagman, M. (1991b). Cognitive science and concepts of mind: Toward a general theory of human and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1993). Cognitive psychology and artificial intelligence: Theory and re search in cognitive science. Westport, CT: Praeger.■ Wagman, M. (1995). The sciences of cognition: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1996). Human intellect and cognitive science: Toward a general unified theory of intelligence. Westport, CT: Praeger.■ 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. (1998b). Language and thought in humans and computers: Theory and research in psychology, artificial intelligence, and neural science. Westport, CT: Praeger.■ Wagman, M. (1998c). The ultimate objectives of artificial intelligence: Theoretical and research foundations, philosophical and psychological implications. Westport, CT: Praeger.■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.■ Wagman, M. (2000). Scientific discovery processes in humans and computers: Theory and research in psychology and artificial intelligence. 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
Страницы
См. также в других словарях:
Mathematical finance — is a field of applied mathematics, concerned with financial markets. The subject has a close relationship with the discipline of financial economics, which is concerned with much of the underlying theory. Generally, mathematical finance will… … Wikipedia
Mathematical induction — can be informally illustrated by reference to the sequential effect of falling dominoes. Mathematical induction is a method of mathematical proof typically used to establish that a given statement is true of all natural numbers (positive… … Wikipedia
Mathematical and theoretical biology — is an interdisciplinary scientific research field with a range of applications in biology, medicine and biotechnology.[1] The field may be referred to as mathematical biology or biomathematics to stress the mathematical side, or as theoretical… … Wikipedia
Mathematical logic — (also known as symbolic logic) is a subfield of mathematics with close connections to foundations of mathematics, theoretical computer science and philosophical logic.[1] The field includes both the mathematical study of logic and the… … Wikipedia
Mathematical physics — refers to development of mathematical methods for application to problems in physics. The Journal of Mathematical Physics defines this area as: the application of mathematics to problems in physics and the development of mathematical methods… … Wikipedia
Mathematical anxiety — is anxiety about one s ability to do mathematics independent of skill. Contents 1 Math anxiety 2 Performance anxiety 3 Anxiety Rating Scale 4 Math and c … Wikipedia
Value at risk — (VaR) is a maximum tolerable loss that could occur with a given probability within a given period of time. VaR is a widely applied concept to measure and manage many types of risk, although it is most commonly used to measure and manage the… … Wikipedia
Value Line — Value Line, Inc.(NASDAQ|VALU), is a New York corporation founded in 1931 by Arnold Bernhard, best known for publishing the The Value Line Investment Survey , a stock analysis newsletter that s updated weekly and kept by subscribers in a large… … Wikipedia
Mathematical Alphanumeric Symbols — redirects here. This article is about the Unicode block. For standard meanings of algebraic letters, see List of letters used in mathematics and science. Mathematical Alphanumeric Symbols is a Unicode block of Latin and Greek letters and decimal… … Wikipedia
Value averaging — Value averaging, also known as dollar value averaging (DVA), is a technique of adding to an investment portfolio to provide greater return than similar methods such as dollar cost averaging and random investment. It was developed by former… … Wikipedia
Mathematical exposure modeling — is an indirect method of determining exposure, particularly for human exposure to environmental contaminants. It is useful when direct measurement of pollutant concentration is not feasible because direct measurement sometimes requires skilled… … Wikipedia
