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Some mathematical

Толкование Перевод

1 выражение

. входить в выражение; выводить выражение; соотношение

•
Some mathematical relations (or expressions) are helpful.

* * *
Выражение-- This expression indicates that in applications where the start weight is an important consideration, it is beneficial to design for maximum specific power.
— аппроксимироваться выражением

— аппроксимироваться линейным выражением

— входить в выражение для

— выражение в квадратных скобках

— выражение в фигурных скобках

— вышеприведенное выражение

— использование выражения для... оправдано, потому что

— находить корреляционное выражение для

— неопределённые выражения

— описывать экспериментальные данные выражением

— подынтегральное выражение

— последнее выражение можно упростить до вида

— приведем теперь выражения для расчёта

— уравнения можно объединить и получить следующее выражение

— хорошо описываться приближенным выражением

— читать с выражением

— эмпирическое выражение

Русско-английский научно-технический словарь переводчика > выражение
2 выражение

. входить в выражение; выводить выражение; соотношение

•
Some mathematical relations (or expressions) are helpful.

Русско-английский научно-технический словарь переводчика > выражение
3 являться предметом исследований

•
This has been the subject of some mathematical studies.

Русско-английский научно-технический словарь переводчика > являться предметом исследований
4 являться предметом математических исследований

Mathematics: be the subject of some mathematical studies

Универсальный русско-английский словарь > являться предметом математических исследований
5 error

m.

1 mistake, error.

cometer un error to make a mistake

estar en un error to be mistaken

por error by mistake

salvo error u omisión errors and omissions excepted

error de bulto huge o big mistake

error de cálculo miscalculation

error humano human error

error de imprenta misprint

error judicial miscarriage of justice

2 delusion, false impression.

3 lapsus.

* * *

error

► nombre masculino

1 error, mistake

■ cometió varios errores he made a number of mistakes

■ el artículo estaba lleno de errores the article was full of mistakes

\

FRASEOLOGÍA

caer en un error to make a mistake

estar en un error to be mistaken

por error by mistake, in error

error de imprenta misprint

error judicial miscarriage of justice

* * *

noun m.

error, mistake

* * *

SM mistake, error más frm

fue un error contárselo a Luisa — it was a mistake to tell Luisa

salvo error u omisión — errors and omissions excepted

• caer en un error — to make a mistake

si piensas que lo hizo por tu bien, estás cayendo en un error — if you think that he did it for your good you're making a mistake

• cometer un error — to make a mistake

cometí muchos errores en el examen — I made a lot of mistakes in the exam

• estar en un error — to be mistaken, be wrong

estás en un error si piensas que voy a transigir — you're mistaken o wrong if you think that I'll give in

• inducir a error — to be misleading

estas cifras pueden inducir a error — these figures could be misleading

• por error — by mistake

error de cálculo — miscalculation

error de copia — clerical error

error de derecho — legal error

error de hecho — factual error, error of fact

error de imprenta — misprint

error judicial — miscarriage of justice

error tipográfico — misprint

* * *

masculino mistake

cometer un error — to make a mistake o an error

craso error! — (that was a) big o bad mistake!

estás en un error — you're wrong o mistaken

¿quién lo va a sacar de su error? — who's going to put him right?

error de ortografía — spelling mistake

error de cálculo — miscalculation

salvo error u omisión — (fr hecha) errors and omissions excepted

por error — by mistake, in error (frml)

- error de imprenta

* * *

= error, failure, fault, mistake, pitfall, bug, stumble, delusion, goof, blooper, bobble.

Ex. Computers are reliable, and less prone to error provided they are instructed or programmed appropriately and correctly.

Ex. DBMS systems aim to cope with system failure and generate restart procedures.

Ex. Documents and information can be lost forever by faults in inputting.

Ex. A mistake, say, in trasncribing Fergusson as Ferguson may cause some problems, copying Davinson as Davison will cause even more!.

Ex. Nevertheless, it is worth drawing a comparison between them so that menu-based information retrieval systems might avoid some of the pitfalls of traditional classification.

Ex. A bug is an error in a program or an equipment malfunction.

Ex. His stumbles and missed opportunities were made up for by his signing of the agreement in 1990.

Ex. The article 'Illusions, delusions, conclusions' reminds searchers that the most important issue when looking at search results is to make sure that all information is reliable and true.

Ex. The film's supple structure, surprisingly light touch, and bravura performances make it perhaps the most fully formed, half-hearted goof ever.

Ex. Throughout the year we collect bloopers, funny things that happen while we are producing the program.

Ex. Gary's back pass took a bobble from a divot and in that moment Robinson suddenly found himself the subject of ridicule.

----

* a base de cometer errores = the hard way.

* a base de errores = the hard way.

* a fuerza de cometer errores = the hard way.

* a fuerza de errores = the hard way.

* análisis de errores = error analysis.

* aprender a fuerza de errores = learn by + trial and error.

* aprender Algo a base de cometer errores = learn + Nombre + the hard way.

* aprender Algo a fuerza de errores = learn + Nombre + the hard way.

* aprender de errores = learn from + errors.

* aprender por el método de ensayo y error = learn by + trial and error.

* caer en el error de = fall into + the error of, blunder into.

* cometer el error de = fall into + the error of, blunder into.

* cometer errores por despiste = bump into + lampposts.

* cometer un error = commit + error, make + mistake, make + error, be caught out, slip up.

* cometer un error garrafal = commit + blunder, make + a bloomer, make + a blunder, drop + a clanger, drop + a bollock, blunder.

* con errores = flawed.

* con errores gramaticales = grammatically challenged, grammatically incorrect.

* corregir errores = debug.

* corregir un error = correct + error, amend + mistake, correct + a wrong, correct + Posesivo + mistake.

* deshacer los errores cometidos = turn + the clock back.

* detección de errores = error identification.

* detectar un error = detect + error, spot + mistake, spot + error.

* eliminar un error = remove + error.

* error administrativo = clerical mistake, clerical error.

* error craso = gross mistake, crass mistake, crass error, blunder, monumental mistake, monumental error.

* error de cálculo = miscalculation, mathematical mistake, mathematical error, calculation error, calculation mistake.

* error de communicación = miscommunication.

* error de contenido = factual error.

* error de copia = clerical error, clerical mistake.

* error de diagnóstico = misdiagnosis [misdiagnoses, -pl.].

* error de entendimiento = misunderstanding.

* error de escritura = mistyping.

* error de estilo = stylistic error.

* error de juicio = misunderstanding, error of judgement.

* error de la muestra = sampling error.

* error de la naturaleza = freak of nature.

* error de lectura = misreading.

* error del original = sic, sic.

* error de medición = error of measurement.

* error de muestreo = sampling error.

* error de percepción = misperception.

* error de probabilidad = probability of error.

* error de pronunciación = mispronunciation.

* error de transposición = transposition error.

* errores = floundering.

* error estilístico = stylistic error.

* error fatal = fatal mistake.

* error garrafal = blunder, cock-up, crass mistake, crass error, gross mistake, monumental mistake, monumental error, clanger.

* error gramatical = grammatical error.

* error humano = human error.

* error matemático = mathematical mistake, mathematical error.

* error mecánico = machine error.

* error mecanográfico = keying error.

* error óptico = optical error.

* error ortográfico = misspelling [mis-spelling], orthographic error, spelling mistake, spelling error.

* error por omisión = omission failure.

* error tipográfico = typing error, typing mistake, typographical error, typographical mistake, typo.

* evitar un error = avoid + error.

* gramática con errores = poor grammar.

* identificación de errores = error identification.

* lista de errores = error report.

* lleno de errores = buggy [buggier -comp., buggiest -sup.].

* margen de error = margin of error.

* mensaje de error = error message.

* no tener errores = be error-free.

* nótese el error = sic.

* patrón de errores = error pattern.

* plagado de errores = buggy [buggier -comp., buggiest -sup.].

* plagar de errores = litter with + failure.

* por el método de ensayo y error = by trial and error, trial and error.

* por error = by mistake.

* propenso a errores = error prone, prone to error.

* rectificar un error = rectify + failure.

* sin errores = error-free.

* subsanar un error = extirpate + error.

* sujeto a errores = prone to error.

* susceptible de error = susceptible to error, susceptible to mistake.

* tasa de error = error rate.

* tener errores = be flawed.

* tolerancia al error = error tolerance, fault tolerance.

* tolerante al error = fault tolerant, error tolerant.

* * *

masculino mistake

cometer un error — to make a mistake o an error

craso error! — (that was a) big o bad mistake!

estás en un error — you're wrong o mistaken

¿quién lo va a sacar de su error? — who's going to put him right?

error de ortografía — spelling mistake

error de cálculo — miscalculation

salvo error u omisión — (fr hecha) errors and omissions excepted

por error — by mistake, in error (frml)

- error de imprenta

* * *

= error, failure, fault, mistake, pitfall, bug, stumble, delusion, goof, blooper, bobble.

Ex: Computers are reliable, and less prone to error provided they are instructed or programmed appropriately and correctly.

Ex: DBMS systems aim to cope with system failure and generate restart procedures.

Ex: Documents and information can be lost forever by faults in inputting.

Ex: A mistake, say, in trasncribing Fergusson as Ferguson may cause some problems, copying Davinson as Davison will cause even more!.

Ex: Nevertheless, it is worth drawing a comparison between them so that menu-based information retrieval systems might avoid some of the pitfalls of traditional classification.

Ex: A bug is an error in a program or an equipment malfunction.

Ex: His stumbles and missed opportunities were made up for by his signing of the agreement in 1990.

Ex: The article 'Illusions, delusions, conclusions' reminds searchers that the most important issue when looking at search results is to make sure that all information is reliable and true.

Ex: The film's supple structure, surprisingly light touch, and bravura performances make it perhaps the most fully formed, half-hearted goof ever.

Ex: Throughout the year we collect bloopers, funny things that happen while we are producing the program.

Ex: Gary's back pass took a bobble from a divot and in that moment Robinson suddenly found himself the subject of ridicule.

* a base de cometer errores = the hard way.

* a base de errores = the hard way.

* a fuerza de cometer errores = the hard way.

* a fuerza de errores = the hard way.

* análisis de errores = error analysis.

* aprender a fuerza de errores = learn by + trial and error.

* aprender Algo a base de cometer errores = learn + Nombre + the hard way.

* aprender Algo a fuerza de errores = learn + Nombre + the hard way.

* aprender de errores = learn from + errors.

* aprender por el método de ensayo y error = learn by + trial and error.

* caer en el error de = fall into + the error of, blunder into.

* cometer el error de = fall into + the error of, blunder into.

* cometer errores por despiste = bump into + lampposts.

* cometer un error = commit + error, make + mistake, make + error, be caught out, slip up.

* cometer un error garrafal = commit + blunder, make + a bloomer, make + a blunder, drop + a clanger, drop + a bollock, blunder.

* con errores = flawed.

* con errores gramaticales = grammatically challenged, grammatically incorrect.

* corregir errores = debug.

* corregir un error = correct + error, amend + mistake, correct + a wrong, correct + Posesivo + mistake.

* deshacer los errores cometidos = turn + the clock back.

* detección de errores = error identification.

* detectar un error = detect + error, spot + mistake, spot + error.

* eliminar un error = remove + error.

* error administrativo = clerical mistake, clerical error.

* error craso = gross mistake, crass mistake, crass error, blunder, monumental mistake, monumental error.

* error de cálculo = miscalculation, mathematical mistake, mathematical error, calculation error, calculation mistake.

* error de communicación = miscommunication.

* error de contenido = factual error.

* error de copia = clerical error, clerical mistake.

* error de diagnóstico = misdiagnosis [misdiagnoses, -pl.].

* error de entendimiento = misunderstanding.

* error de escritura = mistyping.

* error de estilo = stylistic error.

* error de juicio = misunderstanding, error of judgement.

* error de la muestra = sampling error.

* error de la naturaleza = freak of nature.

* error de lectura = misreading.

* error del original = sic, sic.

* error de medición = error of measurement.

* error de muestreo = sampling error.

* error de percepción = misperception.

* error de probabilidad = probability of error.

* error de pronunciación = mispronunciation.

* error de transposición = transposition error.

* errores = floundering.

* error estilístico = stylistic error.

* error fatal = fatal mistake.

* error garrafal = blunder, cock-up, crass mistake, crass error, gross mistake, monumental mistake, monumental error, clanger.

* error gramatical = grammatical error.

* error humano = human error.

* error matemático = mathematical mistake, mathematical error.

* error mecánico = machine error.

* error mecanográfico = keying error.

* error óptico = optical error.

* error ortográfico = misspelling [mis-spelling], orthographic error, spelling mistake, spelling error.

* error por omisión = omission failure.

* error tipográfico = typing error, typing mistake, typographical error, typographical mistake, typo.

* evitar un error = avoid + error.

* gramática con errores = poor grammar.

* identificación de errores = error identification.

* lista de errores = error report.

* lleno de errores = buggy [buggier -comp., buggiest -sup.].

* margen de error = margin of error.

* mensaje de error = error message.

* no tener errores = be error-free.

* nótese el error = sic.

* patrón de errores = error pattern.

* plagado de errores = buggy [buggier -comp., buggiest -sup.].

* plagar de errores = litter with + failure.

* por el método de ensayo y error = by trial and error, trial and error.

* por error = by mistake.

* propenso a errores = error prone, prone to error.

* rectificar un error = rectify + failure.

* sin errores = error-free.

* subsanar un error = extirpate + error.

* sujeto a errores = prone to error.

* susceptible de error = susceptible to error, susceptible to mistake.

* tasa de error = error rate.

* tener errores = be flawed.

* tolerancia al error = error tolerance, fault tolerance.

* tolerante al error = fault tolerant, error tolerant.

* * *

error

masculine

mistake

fue un error decírselo it was a mistake to tell him

cometió varios errores importantes she made several serious mistakes o errors

firmé el documento — ¡craso error! I signed the document — (that was a) big o bad mistake!

estás en un error you're wrong o mistaken

¿quién lo va a sacar de su error? who's going to put him right? o ( BrE) set him straight?

un grave error de cálculo a serious miscalculation

un error de ortografía a spelling mistake

salvo error u omisión ( fr hecha); errors and omissions excepted

por error by mistake, in error ( frml)

Compuestos:

● error absoluto

absolute error

● error aleatorio

random error

● error de derecho

legal error

● error de hecho

factual error

● error de imprenta

misprint, printer's error

● error del sistema

system error

● error relativo

relative error

● error sintáctico

syntax error

● error tipográfico

error de imprenta

* * *

error sustantivo masculino
mistake;
◊ cometer un error to make a mistake o an error;

error de ortografía spelling mistake;
error de cálculo miscalculation;
error de imprenta misprint, printer's error;
por error by mistake, in error (frml)
error sustantivo masculino
1 error, mistake
cometimos el error de escucharle, we made the mistake of listening to him
inducir a error, to lead into error
2 (de un cálculo) error
3 (fallo técnico) error: se lo enviamos por error, we sent it to him by mistake
Impr error de imprenta/ tipográfico, misprint
En general, mistake se refiere a errores causados por falta de conocimiento, capacidad o comprensión, mientras que error describe más bien errores causados por fallos en la producción o mal comportamiento. A menudo, la diferencia es mínima y se puede usar cualquiera de los dos términos: Cometió un error y fue a la cárcel. He made a mistake and went to prison. El accidente se debió a un error humano. The accident was due to human error.

' error' also found in these entries:
Spanish:
aberración
- bestial
- bestialidad
- bulto
- columpiarse
- cometer
- confusión
- desacierto
- desatino
- desliz
- despiste
- enmendar
- enorme
- equivocación
- equivocarse
- falla
- fallo
- fatal
- garrafal
- gazapo
- guardagujas
- incidir
- incorrección
- incurrir
- lectura
- novatada
- originar
- patinazo
- reconocer
- rectificar
- reparar
- responder
- subsanar
- tipográfica
- tipográfico
- traspié
- vista
- yerro
- caer
- cálculo
- calibre
- caro
- clásico
- confesar
- confundir
- corriente
- costoso
- creces
- descuido
- desengañar
English:
allow for
- amend
- blunder
- bug
- commission
- commit
- crass
- deny
- error
- expensive
- fault
- faux pas
- goof
- grievous
- judgement
- judgment
- justice
- lapse
- make
- margin
- message
- miscalculation
- miscarriage
- misprint
- mistake
- prove
- retrieval
- right
- slip
- spelling error
- trial
- wrong
- admit
- cost
- cover
- delusion
- detection
- disabuse
- flaw
- fundamental
- genuine
- glaring
- grave
- misconception
- mislead
- pay
- same
- spelling
- spot
- typing

* * *

error nm

1. [falta, equivocación] mistake, error;

fue un error invitarla a la fiesta it was a mistake to invite her to the party;

debe de haber un error there must be a mistake;

cometer un error to make a mistake;

estar en un error to be mistaken;

por error by mistake;

me enviaron la carta por error they sent me the letter by mistake;

sacar a alguien del error o [m5] de su error to put sb right;

salvo error u omisión errors and omissions excepted

Comp
error absoluto absolute error;
error de bulto huge o big mistake;

error de cálculo miscalculation;

error de copia clerical error;

error no forzado [en tenis] unforced error;

error humano human error;

error de imprenta misprint;

error judicial miscarriage of justice;

error mecanográfico typing error;

error de muestreo sampling error;

error relativo relative error;
Informát error de sintaxis syntax error; Informát error del sistema system error;
error típico standard error;

error tipográfico typo, typographical error;

error de traducción translation error

2. Informát [en un programa] bug

* * *

error

m mistake, error;

por error by mistake;

caer en un error make a mistake;

estar en un error be wrong o mistaken

* * *

error nm

equivocación: error, mistake

* * *

error n mistake / error

Spanish-English dictionary > error
6 error de cálculo

(n.) = miscalculation, mathematical mistake, mathematical error, calculation error, calculation mistake

Ex. This article notes the brief and troubled history of this area of inquiry, which was prone to miscalculation, misinterpretation, and politicisation.

Ex. Compared to the first group, the second group had significantly fewer errors, with careless mathematical and clerical mistakes almost eliminated.

Ex. Some of the confusion encountered in electrochemistry due to misunderstandings of sign conventions and simple mathematical errors.

Ex. This was important before computers were invented, when calculations were all done by hand, and also were done repeatedly to check for calculation errors.

Ex. The author made some calculation mistakes in the comparison table.

* * *

(n.) = miscalculation, mathematical mistake, mathematical error, calculation error, calculation mistake

Ex: This article notes the brief and troubled history of this area of inquiry, which was prone to miscalculation, misinterpretation, and politicisation.

Ex: Compared to the first group, the second group had significantly fewer errors, with careless mathematical and clerical mistakes almost eliminated.

Ex: Some of the confusion encountered in electrochemistry due to misunderstandings of sign conventions and simple mathematical errors.

Ex: This was important before computers were invented, when calculations were all done by hand, and also were done repeatedly to check for calculation errors.

Ex: The author made some calculation mistakes in the comparison table.

* * *

error de cálculo

error of judg(e)ment

Spanish-English dictionary > error de cálculo
7 error matemático

(n.) = mathematical mistake, mathematical error

Ex. Compared to the first group, the second group had significantly fewer errors, with careless mathematical and clerical mistakes almost eliminated.

Ex. Some of the confusion encountered in electrochemistry due to misunderstandings of sign conventions and simple mathematical errors.

* * *

(n.) = mathematical mistake, mathematical error

Ex: Compared to the first group, the second group had significantly fewer errors, with careless mathematical and clerical mistakes almost eliminated.

Ex: Some of the confusion encountered in electrochemistry due to misunderstandings of sign conventions and simple mathematical errors.

Spanish-English dictionary > error matemático
8 rechnerisch

I Adj. mathematical, arithmetical; rechnerische Lösung mathematical solution; ein rechnerisches Beispiel geben give an example with some figures

II 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|risch
1. adj
arithmetical; (POL ) Mehrheit numerical
ein rechnerisches Beispiel — an example with some figures

2. adv

1)

(= kalkulatorisch) rechnerisch falsch sein — to be wrongly calculated

rechnerisch richtig — correctly calculated

rein 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·risch

I. adj arithmetic[al]

\rechnerischer Gewinn paper profit

II. adv

1. (kalkulatorisch) arithmetically

\rechnerisch richtig arithmetically correct

2. (durch Rechnen) by calculation

rein \rechnerisch purely arithmetically, as far as the figures go

* * *
1.
Adjektiv arithmetical; < value> in figures
2.
adverbial < determine> by calculation, mathematically

* * *

rechnerisch

A. adj mathematical, arithmetical;

rechnerische Lösung mathematical solution;

ein rechnerisches Beispiel geben give an example with some figures

B. 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 …

* * *
1.
Adjektiv arithmetical; < value> in figures
2.
adverbial < determine> by calculation, mathematically

* * *

adj.

arithmetical n.

mathematical n. adv.

arithmetically n.

by way of calculation n.

mathematically n.

Deutsch-Englisch Wörterbuch > rechnerisch
9 Artificial Intelligence

   1) Programs and the Complexity of Human Mental Processes

   In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)

   2) Artificial Intelligence Is an Engineering Discipline

   Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)

   3) A Sceptical View of Artificial Intelligence

   Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inﬂated predictions....

   When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)

   4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, Eventually

   Just as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)

   5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the Program

   Many problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)

   6) The Meaning of a Symbolic Description

   What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)

   7) The Principle of Artificial Intelligence

   [AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)

   8) Artificial Intelligence Recognizes the Need for Knowledge in Its Systems

   The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)

   9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract Form

   The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)

    10) There Are Many Types of Reasoning

   There are many different kinds of reasoning one might imagine:

    Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins ﬂy? the system might reason that "robins are like sparrows, and I know that sparrows can ﬂy, so robins probably can ﬂy."

    Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)

    11) Programs Are Beginning to Do Things That Critics Have Asserted to Be Impossible

   Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)

    12) The Synthesis of Man and Machine

   Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)

    13) The Thesis of Good Old-Fashioned Artificial Intelligence (GOFAI)

   The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)

    14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory Formation

   It is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)

    15) Four Kinds of Artificial Intelligence

   We might distinguish among four kinds of AI.

   ♦ Nonpsychological AI

   Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.

   ♦ Weak Psychological AI

   Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.

   ♦ Strong Psychological AI

... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)

   ♦ Suprapsychological AI

   Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)

    16) Determination of Relevance of Rules in Particular Contexts

   Even if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)

    17) Form and Content Are Not Fundamentally Different

   Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)

    18) The Assumption That the Mind Is a Formal System

   Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)

    19) A Statement of the Primary and Secondary Purposes of Artificial Intelligence

   The primary goal of Artificial Intelligence is to make machines smarter.

   The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)

    20) Mathematical Logic Provides the Basis for Theory in AI

   The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....

   AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)

    21) Perceptual Structures Can Be Represented as Lists of Elementary Propositions

   In artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)

    22) Definitions of Artificial Intelligence

   Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)

    23) The Computer Can Not Be a Model of the Mind

   Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)

    24) Computers Will Not Always Be Inferior to Human Brains

   The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)

Historical dictionary of quotations in cognitive science > Artificial Intelligence
10 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.

■ Damasio, A. (1994). Descartes' error: Emotion, reason, and the human brain. New York: Avon.

■ Dampier, W. C. (1966). A history of modern science. Cambridge: Cambridge University Press.

■ Darwin, C. (1911). The life and letters of Charles Darwin (Vol. 1). Francis Darwin (Ed.). New York: Appleton.

■ Davidson, D. (1970) Mental events. In L. Foster & J. W. Swanson (Eds.), Experience and theory (pp. 79-101). Amherst: University of Massachussetts Press.

■ Davies, P. (1995). About time: Einstein's unfinished revolution. New York: Simon & Schuster/Touchstone.

■ Davis, R., & J. J. King (1977). An overview of production systems. In E. Elcock & D. Michie (Eds.), Machine intelligence 8. Chichester, England: Ellis Horwood.

■ Davis, R., & D. B. Lenat (1982). Knowledge- based systems in artificial intelligence. New York: McGraw-Hill.

■ Dawkins, R. (1982). The extended phenotype: The gene as the unit of selection. Oxford: W. H. Freeman.

■ deKleer, J., & J. S. Brown (1983). Assumptions and ambiguities in mechanistic mental models (1983). In D. Gentner & A. L. Stevens (Eds.), Mental modes (pp. 155-190). Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Dennett, D. C. (1978a). Brainstorms: Philosophical essays on mind and psychology. Montgomery, VT: Bradford Books.

■ Dennett, D. C. (1978b). Toward a cognitive theory of consciousness. In D. C. Dennett, Brainstorms: Philosophical Essays on Mind and Psychology. Montgomery, VT: Bradford Books.

■ Dennett, D. C. (1995). Darwin's dangerous idea: Evolution and the meanings of life. New York: Simon & Schuster/Touchstone.

■ Descartes, R. (1897-1910). Traite de l'homme. In Oeuvres de Descartes (Vol. 11, pp. 119-215). Paris: Charles Adam & Paul Tannery. (Originally published in 1634.)

■ Descartes, R. (1950). Discourse on method. L. J. Laﬂeur (Trans.). New York: Liberal Arts Press. (Originally published in 1637.)

■ Descartes, R. (1951). Meditation on first philosophy. L. J. Laﬂeur (Trans.). New York: Liberal Arts Press. (Originally published in 1641.)

■ Descartes, R. (1955). The philosophical works of Descartes. E. S. Haldane and G.R.T. Ross (Trans.). New York: Dover. (Originally published in 1911 by Cambridge University Press.)

■ Descartes, R. (1967). Discourse on method (Pt. V). In E. S. Haldane and G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 106-118). Cambridge: Cambridge University Press. (Originally published in 1637.)

■ Descartes, R. (1970a). Discourse on method. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 181-200). Cambridge: Cambridge University Press. (Originally published in 1637.)

■ Descartes, R. (1970b). Principles of philosophy. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 178-291). Cambridge: Cambridge University Press. (Originally published in 1644.)

■ Descartes, R. (1984). Meditations on first philosophy. In J. Cottingham, R. Stoothoff & D. Murduch (Trans.), The philosophical works of Descartes (Vol. 2). Cambridge: Cambridge University Press. (Originally published in 1641.)

■ Descartes, R. (1986). Meditations on first philosophy. J. Cottingham (Trans.). Cambridge: Cambridge University Press. (Originally published in 1641 as Med itationes de prima philosophia.)

■ deWulf, M. (1956). An introduction to scholastic philosophy. Mineola, NY: Dover Books.

■ Dixon, N. F. (1981). Preconscious processing. London: Wiley.

■ Doyle, A. C. (1986). The Boscombe Valley mystery. In Sherlock Holmes: The com plete novels and stories (Vol. 1). New York: Bantam.

■ Dreyfus, H., & S. Dreyfus (1986). Mind over machine. New York: Free Press.

■ Dreyfus, H. L. (1972). What computers can't do: The limits of artificial intelligence (revised ed.). New York: Harper & Row.

■ Dreyfus, H. L., & S. E. Dreyfus (1986). Mind over machine: The power of human intuition and expertise in the era of the computer. New York: Free Press.

■ Edelman, G. M. (1992). Bright air, brilliant fire: On the matter of the mind. New York: Basic Books.

■ Ehrenzweig, A. (1967). The hidden order of art. London: Weidenfeld & Nicolson.

■ Einstein, A., & L. Infeld (1938). The evolution of physics. New York: Simon & Schuster.

■ Eisenstein, S. (1947). Film sense. New York: Harcourt, Brace & World.

■ Everdell, W. R. (1997). The first moderns. Chicago: University of Chicago Press.

■ Eysenck, M. W. (1977). Human memory: Theory, research and individual difference. Oxford: Pergamon.

■ Eysenck, M. W. (1982). Attention and arousal: Cognition and performance. Berlin: Springer.

■ Eysenck, M. W. (1984). A handbook of cognitive psychology. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Fancher, R. E. (1979). Pioneers of psychology. New York: W. W. Norton.

■ Farrell, B. A. (1981). The standing of psychoanalysis. New York: Oxford University Press.

■ Feldman, D. H. (1980). Beyond universals in cognitive development. Norwood, NJ: Ablex.

■ Fetzer, J. H. (1996). Philosophy and cognitive science (2nd ed.). New York: Paragon House.

■ Finke, R. A. (1990). Creative imagery: Discoveries and inventions in visualization. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Flanagan, O. (1991). The science of the mind. Cambridge MA: MIT Press/Bradford Books.

■ Fodor, J. (1983). The modularity of mind. Cambridge, MA: MIT Press/Bradford Books.

■ Frege, G. (1972). Conceptual notation. T. W. Bynum (Trans.). Oxford: Clarendon Press. (Originally published in 1879.)

■ Frege, G. (1979). Logic. In H. Hermes, F. Kambartel & F. Kaulbach (Eds.), Gottlob Frege: Posthumous writings. Chicago: University of Chicago Press. (Originally published in 1879-1891.)

■ Freud, S. (1959). Creative writers and day-dreaming. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 9, pp. 143-153). London: Hogarth Press.

■ Freud, S. (1966). Project for a scientific psychology. In J. Strachey (Ed.), The stan dard edition of the complete psychological works of Sigmund Freud (Vol. 1, pp. 295-398). London: Hogarth Press. (Originally published in 1950 as Aus den AnfaЁngen der Psychoanalyse, in London by Imago Publishing.)

■ Freud, S. (1976). Lecture 18-Fixation to traumas-the unconscious. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 16, p. 285). London: Hogarth Press.

■ Galileo, G. (1990). Il saggiatore [The assayer]. In S. Drake (Ed.), Discoveries and opinions of Galileo. New York: Anchor Books. (Originally published in 1623.)

■ Gassendi, P. (1970). Letter to Descartes. In "Objections and replies." In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 2, pp. 179-240). Cambridge: Cambridge University Press. (Originally published in 1641.)

■ Gazzaniga, M. S. (1988). Mind matters: How mind and brain interact to create our conscious lives. Boston: Houghton Mifﬂin in association with MIT Press/Bradford Books.

■ Genesereth, M. R., & N. J. Nilsson (1987). Logical foundations of artificial intelligence. Palo Alto, CA: Morgan Kaufmann.

■ Ghiselin, B. (1952). The creative process. New York: Mentor.

■ Ghiselin, B. (1985). The creative process. Berkeley, CA: University of California Press. (Originally published in 1952.)

■ Gilhooly, K. J. (1996). Thinking: Directed, undirected and creative (3rd ed.). London: Academic Press.

■ Glass, A. L., K. J. Holyoak & J. L. Santa (1979). Cognition. Reading, MA: AddisonWesley.

■ Goody, J. (1977). The domestication of the savage mind. Cambridge: Cambridge University Press.

■ Gruber, H. E. (1980). Darwin on man: A psychological study of scientific creativity (2nd ed.). Chicago: University of Chicago Press.

■ Gruber, H. E., & S. Davis (1988). Inching our way up Mount Olympus: The evolving systems approach to creative thinking. In R. J. Sternberg (Ed.), The nature of creativity: Contemporary psychological perspectives. Cambridge: Cambridge University Press.

■ Guthrie, E. R. (1972). The psychology of learning. New York: Harper. (Originally published in 1935.)

■ Habermas, J. (1972). Knowledge and human interests. Boston: Beacon Press.

■ Hadamard, J. (1945). The psychology of invention in the mathematical field. Princeton, NJ: Princeton University Press.

■ Hand, D. J. (1985). Artificial intelligence and psychiatry. Cambridge: Cambridge University Press.

■ Harris, M. (1981). The language myth. London: Duckworth.

■ Haugeland, J. (Ed.) (1981). Mind design: Philosophy, psychology, artificial intelligence. Cambridge, MA: MIT Press/Bradford Books.

■ Haugeland, J. (1981a). The nature and plausibility of cognitivism. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 243-281). Cambridge, MA: MIT Press.

■ Haugeland, J. (1981b). Semantic engines: An introduction to mind design. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 1-34). Cambridge, MA: MIT Press/Bradford Books.

■ Haugeland, J. (1985). Artificial intelligence: The very idea. Cambridge, MA: MIT Press.

■ Hawkes, T. (1977). Structuralism and semiotics. Berkeley: University of California Press.

■ Hebb, D. O. (1949). The organisation of behaviour. New York: Wiley.

■ Hebb, D. O. (1958). A textbook of psychology. Philadelphia: Saunders.

■ Hegel, G.W.F. (1910). The phenomenology of mind. J. B. Baille (Trans.). London: Sonnenschein. (Originally published as Phaenomenologie des Geistes, 1807.)

■ Heisenberg, W. (1958). Physics and philosophy. New York: Harper & Row.

■ Hempel, C. G. (1966). Philosophy of natural science. Englewood Cliffs, NJ: PrenticeHall.

■ Herman, A. (1997). The idea of decline in Western history. New York: Free Press.

■ Herrnstein, R. J., & E. G. Boring (Eds.) (1965). A source book in the history of psy chology. Cambridge, MA: Harvard University Press.

■ Herzmann, E. (1964). Mozart's creative process. In P. H. Lang (Ed.), The creative world of Mozart (pp. 17-30). London: Oldbourne Press.

■ Hilgard, E. R. (1957). Introduction to psychology. London: Methuen.

■ Hobbes, T. (1651). Leviathan. London: Crooke.

■ Hofstadter, D. R. (1979). Goedel, Escher, Bach: An eternal golden braid. New York: Basic Books.

■ Holliday, S. G., & M. J. Chandler (1986). Wisdom: Explorations in adult competence. Basel, Switzerland: Karger.

■ Horn, J. L. (1986). In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 3). Hillsdale, NJ: Erlbaum.

■ Hull, C. (1943). Principles of behavior. New York: Appleton-Century-Crofts.

■ Hume, D. (1955). An inquiry concerning human understanding. New York: Liberal Arts Press. (Originally published in 1748.)

■ Hume, D. (1975). An enquiry concerning human understanding. In L. A. SelbyBigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (Spelling and punctuation revised.) (Originally published in 1748.)

■ Hume, D. (1978). A treatise of human nature. L. A. Selby-Bigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (With some modifications of spelling and punctuation.) (Originally published in 1690.)

■ Hunt, E. (1973). The memory we must have. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language. (pp. 343-371) San Francisco: W. H. Freeman.

■ Husserl, E. (1960). Cartesian meditations. The Hague: Martinus Nijhoff.

■ Inhelder, B., & J. Piaget (1958). The growth of logical thinking from childhood to adolescence. New York: Basic Books. (Originally published in 1955 as De la logique de l'enfant a` la logique de l'adolescent. [Paris: Presses Universitaire de France])

■ James, W. (1890a). The principles of psychology (Vol. 1). New York: Dover Books.

■ James, W. (1890b). The principles of psychology. New York: Henry Holt.

■ Jevons, W. S. (1900). The principles of science (2nd ed.). London: Macmillan.

■ Johnson, G. (1986). Machinery of the mind: Inside the new science of artificial intelli gence. New York: Random House.

■ Johnson, M. L. (1988). Mind, language, machine. New York: St. Martin's Press.

■ Johnson-Laird, P. N. (1983). Mental models: Toward a cognitive science of language, inference, and consciousness. Cambridge, MA: Harvard University Press.

■ Johnson-Laird, P. N. (1988). The computer and the mind: An introduction to cognitive science. Cambridge, MA: Harvard University Press.

■ Jones, E. (1961). The life and work of Sigmund Freud. L. Trilling & S. Marcus (Eds.). London: Hogarth.

■ Jones, R. V. (1985). Complementarity as a way of life. In A. P. French & P. J. Kennedy (Eds.), Niels Bohr: A centenary volume. Cambridge, MA: Harvard University Press.

■ Kant, I. (1933). Critique of Pure Reason (2nd ed.). N. K. Smith (Trans.). London: Macmillan. (Originally published in 1781 as Kritik der reinen Vernunft.)

■ Kant, I. (1891). Solution of the general problems of the Prolegomena. In E. Belfort (Trans.), Kant's Prolegomena. London: Bell. (With minor modifications.) (Originally published in 1783.)

■ Katona, G. (1940). Organizing and memorizing: Studies in the psychology of learning and teaching. New York: Columbia University Press.

■ Kaufman, A. S. (1979). Intelligent testing with the WISC-R. New York: Wiley.

■ Koestler, A. (1964). The act of creation. New York: Arkana (Penguin).

■ Kohlberg, L. (1971). From is to ought. In T. Mischel (Ed.), Cognitive development and epistemology. (pp. 151-235) New York: Academic Press.

■ KoЁhler, W. (1925). The mentality of apes. New York: Liveright.

■ KoЁhler, W. (1927). The mentality of apes (2nd ed.). Ella Winter (Trans.). London: Routledge & Kegan Paul.

■ KoЁhler, W. (1930). Gestalt psychology. London: G. Bell.

■ KoЁhler, W. (1947). Gestalt psychology. New York: Liveright.

■ KoЁhler, W. (1969). The task of Gestalt psychology. Princeton, NJ: Princeton University Press.

■ Kuhn, T. (1970). The structure of scientific revolutions (2nd ed.). Chicago: University of Chicago Press.

■ Langer, E. J. (1989). Mindfulness. Reading, MA: Addison-Wesley.

■ Langer, S. (1962). Philosophical sketches. Baltimore: Johns Hopkins University Press.

■ Langley, P., H. A. Simon, G. L. Bradshaw & J. M. Zytkow (1987). Scientific dis covery: Computational explorations of the creative process. Cambridge, MA: MIT Press.

■ Lashley, K. S. (1951). The problem of serial order in behavior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior, the Hixon Symposium (pp. 112-146) New York: Wiley.

■ LeDoux, J. E., & W. Hirst (1986). Mind and brain: Dialogues in cognitive neuroscience. Cambridge: Cambridge University Press.

■ Lehnert, W. (1978). The process of question answering. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Leiber, J. (1991). Invitation to cognitive science. Oxford: Blackwell.

■ Lenat, D. B., & G. Harris (1978). Designing a rule system that searches for scientific discoveries. In D. A. Waterman & F. Hayes-Roth (Eds.), Pattern directed inference systems (pp. 25-52) New York: Academic Press.

■ Levenson, T. (1995). Measure for measure: A musical history of science. New York: Touchstone. (Originally published in 1994.)

■ Leґvi-Strauss, C. (1963). Structural anthropology. C. Jacobson & B. Grundfest Schoepf (Trans.). New York: Basic Books. (Originally published in 1958.)

■ Levine, M. W., & J. M. Schefner (1981). Fundamentals of sensation and perception. London: Addison-Wesley.

■ Lewis, C. I. (1946). An analysis of knowledge and valuation. LaSalle, IL: Open Court.

■ Lighthill, J. (1972). A report on artificial intelligence. Unpublished manuscript, Science Research Council.

■ Lipman, M., A. M. Sharp & F. S. Oscanyan (1980). Philosophy in the classroom. Philadelphia: Temple University Press.

■ Lippmann, W. (1965). Public opinion. New York: Free Press. (Originally published in 1922.)

■ Locke, J. (1956). An essay concerning human understanding. Chicago: Henry Regnery Co. (Originally published in 1690.)

■ Locke, J. (1975). An essay concerning human understanding. P. H. Nidditch (Ed.). Oxford: Clarendon. (Originally published in 1690.) (With spelling and punctuation modernized and some minor modifications of phrasing.)

■ Lopate, P. (1994). The art of the personal essay. New York: Doubleday/Anchor Books.

■ Lorimer, F. (1929). The growth of reason. London: Kegan Paul. Machlup, F., & U. Mansfield (Eds.) (1983). The study of information. New York: Wiley.

■ Manguel, A. (1996). A history of reading. New York: Viking.

■ Margolis, H. (1987). Patterns, thinking, and cognition. Chicago: University of Chicago Press.

■ Markey, J. F. (1928). The symbolic process. London: Kegan Paul.

■ Martin, R. M. (1969). On Ziff's "Natural and formal languages." In S. Hook (Ed.), Language and philosophy: A symposium (pp. 249-263). New York: New York University Press.

■ Mazlish, B. (1993). The fourth discontinuity: the co- evolution of humans and machines. New Haven, CT: Yale University Press.

■ McCarthy, J., & P. J. Hayes (1969). Some philosophical problems from the standpoint of artificial intelligence. In B. Meltzer & D. Michie (Eds.), Machine intelligence 4. Edinburgh: Edinburgh University Press.

■ McClelland, J. L., D. E. Rumelhart & G. E. Hinton (1986). The appeal of parallel distributed processing. In D. E. Rumelhart, J. L. McClelland & the PDP Research Group (Eds.), Parallel distributed processing: Explorations in the mi crostructure of cognition (Vol. 1, pp. 3-40). Cambridge, MA: MIT Press/ Bradford Books.

■ McCorduck, P. (1979). Machines who think. San Francisco: W. H. Freeman.

■ McLaughlin, T. (1970). Music and communication. London: Faber & Faber.

■ Mednick, S. A. (1962). The associative basis of the creative process. Psychological Review 69, 431-436.

■ Meehl, P. E., & C. J. Golden (1982). Taxometric methods. In Kendall, P. C., & Butcher, J. N. (Eds.), Handbook of research methods in clinical psychology (pp. 127-182). New York: Wiley.

■ Mehler, J., E.C.T. Walker & M. Garrett (Eds.) (1982). Perspectives on mental rep resentation: Experimental and theoretical studies of cognitive processes and ca pacities. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Mill, J. S. (1900). A system of logic, ratiocinative and inductive: Being a connected view of the principles of evidence and the methods of scientific investigation. London: Longmans, Green.

■ Miller, G. A. (1979, June). A very personal history. Talk to the Cognitive Science Workshop, Cambridge, MA.

■ Miller, J. (1983). States of mind. New York: Pantheon Books.

■ Minsky, M. (1975). A framework for representing knowledge. In P. H. Winston (Ed.), The psychology of computer vision (pp. 211-277). New York: McGrawHill.

■ Minsky, M., & S. Papert (1973). Artificial intelligence. Condon Lectures, Oregon State System of Higher Education, Eugene, Oregon.

■ Minsky, M. L. (1986). The society of mind. New York: Simon & Schuster.

■ Mischel, T. (1976). Psychological explanations and their vicissitudes. In J. K. Cole & W. J. Arnold (Eds.), Nebraska Symposium on motivation (Vol. 23). Lincoln, NB: University of Nebraska Press.

■ Morford, M.P.O., & R. J. Lenardon (1995). Classical mythology (5th ed.). New York: Longman.

■ Murdoch, I. (1954). Under the net. New York: Penguin.

■ Nagel, E. (1959). Methodological issues in psychoanalytic theory. In S. Hook (Ed.), Psychoanalysis, scientific method, and philosophy: A symposium. New York: New York University Press.

■ Nagel, T. (1979). Mortal questions. London: Cambridge University Press.

■ Nagel, T. (1986). The view from nowhere. Oxford: Oxford University Press.

■ Neisser, U. (1967). Cognitive psychology. New York: Appleton-Century-Crofts.

■ Neisser, U. (1972). Changing conceptions of imagery. In P. W. Sheehan (Ed.), The function and nature of imagery (pp. 233-251). London: Academic Press.

■ Neisser, U. (1976). Cognition and reality. San Francisco: W. H. Freeman.

■ Neisser, U. (1978). Memory: What are the important questions? In M. M. Gruneberg, P. E. Morris & R. N. Sykes (Eds.), Practical aspects of memory (pp. 3-24). London: Academic Press.

■ Neisser, U. (1979). The concept of intelligence. In R. J. Sternberg & D. K. Detterman (Eds.), Human intelligence: Perspectives on its theory and measurement (pp. 179-190). Norwood, NJ: Ablex.

■ Nersessian, N. (1992). How do scientists think? Capturing the dynamics of conceptual change in science. In R. N. Giere (Ed.), Cognitive models of science (pp. 3-44). Minneapolis: University of Minnesota Press.

■ Newell, A. (1973a). Artificial intelligence and the concept of mind. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 1-60). San Francisco: W. H. Freeman.

■ Newell, A. (1973b). You can't play 20 questions with nature and win. In W. G. Chase (Ed.), Visual information processing (pp. 283-310). New York: Academic Press.

■ Newell, A., & H. A. Simon (1963). GPS: A program that simulates human thought. In E. A. Feigenbaum & J. Feldman (Eds.), Computers and thought (pp. 279-293). New York & McGraw-Hill.

■ Newell, A., & H. A. Simon (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.

■ Nietzsche, F. (1966). Beyond good and evil. W. Kaufmann (Trans.). New York: Vintage. (Originally published in 1885.)

■ Nilsson, N. J. (1971). Problem- solving methods in artificial intelligence. New York: McGraw-Hill.

■ Nussbaum, M. C. (1978). Aristotle's Princeton University Press. De Motu Anamalium. Princeton, NJ:

■ Oersted, H. C. (1920). Thermo-electricity. In Kirstine Meyer (Ed.), H. C. Oersted, Natuurvidenskabelige Skrifter (Vol. 2). Copenhagen: n.p. (Originally published in 1830 in The Edinburgh encyclopaedia.)

■ Ong, W. J. (1982). Orality and literacy: The technologizing of the word. London: Methuen.

■ Onians, R. B. (1954). The origins of European thought. Cambridge, MA: Cambridge University Press.

■ Osgood, C. E. (1960). Method and theory in experimental psychology. New York: Oxford University Press. (Originally published in 1953.)

■ Osgood, C. E. (1966). Language universals and psycholinguistics. In J. H. Greenberg (Ed.), Universals of language (2nd ed., pp. 299-322). Cambridge, MA: MIT Press.

■ Palmer, R. E. (1969). Hermeneutics. Evanston, IL: Northwestern University Press.

■ Peirce, C. S. (1934). Some consequences of four incapacities-Man, a sign. In C. Hartsborne & P. Weiss (Eds.), Collected papers of Charles Saunders Peirce (Vol. 5, pp. 185-189). Cambridge, MA: Harvard University Press.

■ Penfield, W. (1959). In W. Penfield & L. Roberts, Speech and brain mechanisms. Princeton, NJ: Princeton University Press.

■ Penrose, R. (1994). Shadows of the mind: A search for the missing science of conscious ness. Oxford: Oxford University Press.

■ Perkins, D. N. (1981). The mind's best work. Cambridge, MA: Harvard University Press.

■ Peterfreund, E. (1986). The heuristic approach to psychoanalytic therapy. In

■ J. Reppen (Ed.), Analysts at work, (pp. 127-144). Hillsdale, NJ: Analytic Press.

■ Piaget, J. (1952). The origin of intelligence in children. New York: International Universities Press. (Originally published in 1936.)

■ Piaget, J. (1954). Le langage et les opeґrations intellectuelles. Proble` mes de psycho linguistique. Symposium de l'Association de Psychologie Scientifique de Langue Francёaise. Paris: Presses Universitaires de France.

■ Piaget, J. (1977). Problems of equilibration. In H. E. Gruber & J. J. Voneche (Eds.), The essential Piaget (pp. 838-841). London: Routlege & Kegan Paul. (Originally published in 1975 as L'eґquilibration des structures cognitives [Paris: Presses Universitaires de France].)

■ Piaget, J., & B. Inhelder. (1973). Memory and intelligence. New York: Basic Books.

■ Pinker, S. (1994). The language instinct. New York: Morrow.

■ Pinker, S. (1996). Facts about human language relevant to its evolution. In J.-P. Changeux & J. Chavaillon (Eds.), Origins of the human brain. A symposium of the Fyssen foundation (pp. 262-283). Oxford: Clarendon Press. Planck, M. (1949). Scientific autobiography and other papers. F. Gaynor (Trans.). New York: Philosophical Library.

■ Planck, M. (1990). Wissenschaftliche Selbstbiographie. W. Berg (Ed.). Halle, Germany: Deutsche Akademie der Naturforscher Leopoldina.

■ Plato (1892). Meno. In The Dialogues of Plato (B. Jowett, Trans.; Vol. 2). New York: Clarendon. (Originally published circa 380 B.C.)

■ Poincareґ, H. (1913). Mathematical creation. In The foundations of science. G. B. Halsted (Trans.). New York: Science Press.

■ Poincareґ, H. (1921). The foundations of science: Science and hypothesis, the value of science, science and method. G. B. Halstead (Trans.). New York: Science Press.

■ Poincareґ, H. (1929). The foundations of science: Science and hypothesis, the value of science, science and method. New York: Science Press.

■ Poincareґ, H. (1952). Science and method. F. Maitland (Trans.) New York: Dover.

■ Polya, G. (1945). How to solve it. Princeton, NJ: Princeton University Press.

■ Polanyi, M. (1958). Personal knowledge. London: Routledge & Kegan Paul.

■ Popper, K. (1968). Conjectures and refutations: The growth of scientific knowledge. New York: Harper & Row/Basic Books.

■ Popper, K., & J. Eccles (1977). The self and its brain. New York: Springer-Verlag.

■ Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.

■ Putnam, H. (1975). Mind, language and reality: Philosophical papers (Vol. 2). Cambridge: Cambridge University Press.

■ Putnam, H. (1987). The faces of realism. LaSalle, IL: Open Court.

■ Pylyshyn, Z. W. (1981). The imagery debate: Analog media versus tacit knowledge. In N. Block (Ed.), Imagery (pp. 151-206). Cambridge, MA: MIT Press.

■ Pylyshyn, Z. W. (1984). Computation and cognition: Towards a foundation for cog nitive science. Cambridge, MA: MIT Press/Bradford Books.

■ Quillian, M. R. (1968). Semantic memory. In M. Minsky (Ed.), Semantic information processing (pp. 216-260). Cambridge, MA: MIT Press.

■ Quine, W.V.O. (1960). Word and object. Cambridge, MA: Harvard University Press.

■ Rabbitt, P.M.A., & S. Dornic (Eds.). Attention and performance (Vol. 5). London: Academic Press.

■ Rawlins, G.J.E. (1997). Slaves of the Machine: The quickening of computer technology. Cambridge, MA: MIT Press/Bradford Books.

■ Reid, T. (1970). An inquiry into the human mind on the principles of common sense. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 151-178). New York: Random House/Modern Library.

■ Reitman, W. (1970). What does it take to remember? In D. A. Norman (Ed.), Models of human memory (pp. 470-510). London: Academic Press.

■ Ricoeur, P. (1974). Structure and hermeneutics. In D. I. Ihde (Ed.), The conﬂict of interpretations: Essays in hermeneutics (pp. 27-61). Evanston, IL: Northwestern University Press.

■ Robinson, D. N. (1986). An intellectual history of psychology. Madison: University of Wisconsin Press.

■ Rorty, R. (1979). Philosophy and the mirror of nature. Princeton, NJ: Princeton University Press.

■ Rosch, E. (1977). Human categorization. In N. Warren (Ed.), Studies in cross cultural psychology (Vol. 1, pp. 1-49) London: Academic Press.

■ Rosch, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 27-48). Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Rosch, E., & B. B. Lloyd (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Rose, S. (1970). The chemistry of life. Baltimore: Penguin Books.

■ Rose, S. (1976). The conscious brain (updated ed.). New York: Random House.

■ Rose, S. (1993). The making of memory: From molecules to mind. New York: Anchor Books. (Originally published in 1992)

■ Roszak, T. (1994). The cult of information: A neo- Luddite treatise on high- tech, artificial intelligence, and the true art of thinking (2nd ed.). Berkeley: University of California Press.

■ Royce, J. R., & W. W. Rozeboom (Eds.) (1972). The psychology of knowing. New York: Gordon & Breach.

■ Rumelhart, D. E. (1977). Introduction to human information processing. New York: Wiley.

■ Rumelhart, D. E. (1980). Schemata: The building blocks of cognition. In R. J. Spiro, B. Bruce & W. F. Brewer (Eds.), Theoretical issues in reading comprehension. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Rumelhart, D. E., & J. L. McClelland (1986). On learning the past tenses of English verbs. In J. L. McClelland & D. E. Rumelhart (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 2). Cambridge, MA: MIT Press.

■ Rumelhart, D. E., P. Smolensky, J. L. McClelland & G. E. Hinton (1986). Schemata and sequential thought processes in PDP models. In J. L. McClelland, D. E. Rumelhart & the PDP Research Group (Eds.), Parallel Distributed Processing (Vol. 2, pp. 7-57). Cambridge, MA: MIT Press.

■ Russell, B. (1927). An outline of philosophy. London: G. Allen & Unwin.

■ Russell, B. (1961). History of Western philosophy. London: George Allen & Unwin.

■ Russell, B. (1965). How I write. In Portraits from memory and other essays. London: Allen & Unwin.

■ Russell, B. (1992). In N. Griffin (Ed.), The selected letters of Bertrand Russell (Vol. 1), The private years, 1884- 1914. Boston: Houghton Mifﬂin. Ryecroft, C. (1966). Psychoanalysis observed. London: Constable.

■ Sagan, C. (1978). The dragons of Eden: Speculations on the evolution of human intel ligence. New York: Ballantine Books.

■ Salthouse, T. A. (1992). Expertise as the circumvention of human processing limitations. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.

■ Sanford, A. J. (1987). The mind of man: Models of human understanding. New Haven, CT: Yale University Press.

■ Sapir, E. (1921). Language. New York: Harcourt, Brace, and World.

■ Sapir, E. (1964). Culture, language, and personality. Berkeley: University of California Press. (Originally published in 1941.)

■ Sapir, E. (1985). The status of linguistics as a science. In D. G. Mandelbaum (Ed.), Selected writings of Edward Sapir in language, culture and personality (pp. 160166). Berkeley: University of California Press. (Originally published in 1929).

■ Scardmalia, M., & C. Bereiter (1992). Literate expertise. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.

■ Schafer, R. (1954). Psychoanalytic interpretation in Rorschach testing. New York: Grune & Stratten.

■ Schank, R. C. (1973). Identification of conceptualizations underlying natural language. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 187-248). San Francisco: W. H. Freeman.

■ Schank, R. C. (1976). The role of memory in language processing. In C. N. Cofer (Ed.), The structure of human memory. (pp. 162-189) San Francisco: W. H. Freeman.

■ Schank, R. C. (1986). Explanation patterns: Understanding mechanically and creatively. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Schank, R. C., & R. P. Abelson (1977). Scripts, plans, goals, and understanding. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ SchroЁdinger, E. (1951). Science and humanism. Cambridge: Cambridge University Press.

■ Searle, J. R. (1981a). Minds, brains, and programs. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 282-306). Cambridge, MA: MIT Press.

■ Searle, J. R. (1981b). Minds, brains and programs. In D. Hofstadter & D. Dennett (Eds.), The mind's I (pp. 353-373). New York: Basic Books.

■ Searle, J. R. (1983). Intentionality. New York: Cambridge University Press.

■ Serres, M. (1982). The origin of language: Biology, information theory, and thermodynamics. M. Anderson (Trans.). In J. V. Harari & D. F. Bell (Eds.), Hermes: Literature, science, philosophy (pp. 71-83). Baltimore: Johns Hopkins University Press.

■ Simon, H. A. (1966). Scientific discovery and the psychology of problem solving. In R. G. Colodny (Ed.), Mind and cosmos: Essays in contemporary science and philosophy (pp. 22-40). Pittsburgh: University of Pittsburgh Press.

■ Simon, H. A. (1979). Models of thought. New Haven, CT: Yale University Press.

■ Simon, H. A. (1989). The scientist as a problem solver. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert Simon. Hillsdale, N.J.: Lawrence Erlbaum Associates.

■ Simon, H. A., & C. Kaplan (1989). Foundations of cognitive science. In M. Posner (Ed.), Foundations of cognitive science (pp. 1-47). Cambridge, MA: MIT Press.

■ Simonton, D. K. (1988). Creativity, leadership and chance. In R. J. Sternberg (Ed.), The nature of creativity. Cambridge: Cambridge University Press.

■ Skinner, B. F. (1974). About behaviorism. New York: Knopf.

■ Smith, E. E. (1988). Concepts and thought. In J. Sternberg & E. E. Smith (Eds.), The psychology of human thought (pp. 19-49). Cambridge: Cambridge University Press.

■ Smith, E. E. (1990). Thinking: Introduction. In D. N. Osherson & E. E. Smith (Eds.), Thinking. An invitation to cognitive science. (Vol. 3, pp. 1-2). Cambridge, MA: MIT Press.

■ Socrates. (1958). Meno. In E. H. Warmington & P. O. Rouse (Eds.), Great dialogues of Plato W.H.D. Rouse (Trans.). New York: New American Library. (Original publication date unknown.)

■ Solso, R. L. (1974). Theories of retrieval. In R. L. Solso (Ed.), Theories in cognitive psychology. Potomac, MD: Lawrence Erlbaum Associates.

■ Spencer, H. (1896). The principles of psychology. New York: Appleton-CenturyCrofts.

■ Steiner, G. (1975). After Babel: Aspects of language and translation. New York: Oxford University Press.

■ Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning. Hillsdale, NJ: Lawrence Erlbaum Associates.

■ Sternberg, R. J. (1994). Intelligence. In R. J. Sternberg, Thinking and problem solving. San Diego: Academic Press.

■ Sternberg, R. J., & J. E. Davidson (1985). Cognitive development in gifted and talented. In F. D. Horowitz & M. O'Brien (Eds.), The gifted and talented (pp. 103-135). Washington, DC: American Psychological Association.

■ Storr, A. (1993). The dynamics of creation. New York: Ballantine Books. (Originally published in 1972.)

■ Stumpf, S. E. (1994). Philosophy: History and problems (5th ed.). New York: McGraw-Hill.

■ Sulloway, F. J. (1996). Born to rebel: Birth order, family dynamics, and creative lives. New York: Random House/Vintage Books.

■ Thorndike, E. L. (1906). Principles of teaching. New York: A. G. Seiler.

■ Thorndike, E. L. (1970). Animal intelligence: Experimental studies. Darien, CT: Hafner Publishing Co. (Originally published in 1911.)

■ Titchener, E. B. (1910). A textbook of psychology. New York: Macmillan.

■ Titchener, E. B. (1914). A primer of psychology. New York: Macmillan.

■ Toulmin, S. (1957). The philosophy of science. London: Hutchinson.

■ Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organisation of memory. London: Academic Press.

■ Turing, A. (1946). In B. E. Carpenter & R. W. Doran (Eds.), ACE reports of 1946 and other papers. Cambridge, MA: MIT Press.

■ Turkle, S. (1984). Computers and the second self: Computers and the human spirit. New York: Simon & Schuster.

■ Tyler, S. A. (1978). The said and the unsaid: Mind, meaning, and culture. New York: Academic Press.

■ van Heijenoort (Ed.) (1967). From Frege to Goedel. Cambridge: Harvard University Press.

■ Varela, F. J. (1984). The creative circle: Sketches on the natural history of circularity. In P. Watzlawick (Ed.), The invented reality (pp. 309-324). New York: W. W. Norton.

■ Voltaire (1961). On the Penseґs of M. Pascal. In Philosophical letters (pp. 119-146). E. Dilworth (Trans.). Indianapolis: Bobbs-Merrill.

■ Wagman, M. (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
11 modelo

adj.

model.

f. & m.

model (person).

m.

1 model.

tengo una bicicleta último modelo I have the latest-model bicycle

modelo económico economic model

modelo a escala scale model

modelo matemático mathematical model

modelo reducido scale model

2 number.

3 fashion model, mannequin, model.

4 benchmark.

5 item of clothing.

6 template.

pres.indicat.

1^st person singular (yo) present indicative of spanish verb: modelar.

* * *

modelo

► adjetivo

1 model

■ un estudiante modelo a model student

► nombre masulino o femenino

1 (persona) (fashion) model

► nombre masculino

1 (patrón) model

■ esto te puede servir de modelo you can use this as a model

2 (diseño) model

■ este modelo es más económico this is a more economical model

3 (traje) number

\

FRASEOLOGÍA

desfile de modelos fashion show

* * *
1. noun m.
example, model, pattern
2. noun mf.
model

* * *

1. SM

1) (=tipo) model

se fabrica en varios modelos — it comes in several models

un coche último modelo — the latest-model car

2) (=ejemplo)

presentar algo como modelo — to hold sth up as a model

servir de modelo — to serve as a model

tomar por modelo — to take as a model

modelo de maridos — model husband

modelo de vida — lifestyle, way of life

modelo a escala — scale model

modelo estándar — standard model

3) (=patrón) pattern; [para hacer punto] pattern

4) (=prenda) model, design

un modelo de Valentino — a Valentino model o design

2.

SMF (Arte, Fot, Moda) model

desfile de modelos — fashion show

servir de modelo a un pintor — to sit o pose for a painter

modelo de alta costura — fashion model, haute couture model

modelo de portada — cover girl

3.

ADJ INV (=ejemplar) model, exemplary

cárcel modelo — model prison

niño modelo — model child

* * *
I
adjetivo invariable

a) <niño/estudiante> model (before n); <comportamiento/carácter> exemplary

b) ( de muestra)

visité la casa modelo — I visited the model home (AmE) o (BrE) the showhouse
II
masculino

1)

a) ( ejemplo) model

copiaron el modelo cubano — they copied the Cuban model

su conducta es un modelo para todos — her conduct is an example to us all

tomar/utilizar algo como modelo — to take/use something as a model

tomó a su padre como modelo — he followed his father's example

b) (muestra, prototipo) model

modelo en or a escala — scale model

2) (tipo, diseño) model

el modelo de lujo — the deluxe model

3) (Indum) design

un modelo de Franelli — a Franelli (design)

llegó con un nuevo modelito — (fam) she arrived wearing a new little number

un sombrero último modelo — the (very) latest in hats
III
masculino y femenino model

desfile de modelos — fashion show

* * *

= mock-up, model, pattern, specimen, template, paragon, setter, standard setter, style sheet, beacon, exemplary, benchmark, benchmark.

Nota: Pruebas a las que se somete un producto para determinar sus tiempos de respuesta con respecto a ciertas operaciones.

Ex. A mock-up is a representation of a device or process that may be modified for training or analysis to emphasize a particular part or function; it usually has movable parts that can be manipulated.

Ex. The most satisfactory solution is to use an author abstract as a model, but to submit any author abstracts to thorough editing and checking.

Ex. In the same way that citation orders may have more or less theoretical foundations, equally reference generation may follow a predetermined pattern.

Ex. An object is a tree-dimensional artefact (or replica of an artefact) or a specimen of a naturally occurring entity.

Ex. The <F5> Original Input function provides an empty MARC record template for the creation of an original record.

Ex. Endowed with the gift of being able to both listen and question, this paragon always is ready to meet the public without losing balance or a sense of humor.

Ex. Accordingly, the role of librarian as pointer and setter must be tagged as obsolete.

Ex. Some producers of media materials are emerging as familiar and reliable names -- market leaders and standard setters -- with products as well known as those of the major book publishers = Están surgiendo algunos productores de material multimedia que se han convertido en nombres familiares y de confianza (líderes y modelos del mercado) con productos tan bien conocidos como los de los principales editores de libros.

Ex. A style sheet is essentially a template that can be used to create a consistent appearance across documents.

Ex. The British Library has recently been described as a ' beacon of excellence'.

Ex. PRECIS provides an exemplary illustration of the association and common ground between alphabetical indexing and classification.

Ex. Existing wireline networks, with their ubiquity, seamless operations, and ease of use, have provided clear benchmarks for satisfying customers' basic personal communications needs.

Ex. Benchmarks are the times taken to carry out a set of standard operations and they are comparable to the government fuel consumption figures for cars.

----

* adoptar un modelo = embrace + model.

* carta modelo = model letter.

* confeccionar utilizando un modelo = model.

* conjunto de modelos = model base.

* creación de modelos = modelling [modeling, -USA].

* desfile de modelos = designer ramp show, fashion show, catwalk show.

* ejemplos modelo = lessons learned [lessons learnt].

* el registro modelo = record-of-record.

* ficha modelo = form.

* método basado en modelos = modelling approach [modeling approach, -USA].

* modelo a imitar = role modelling, role model.

* modelo de análisis de costes = cost model.

* modelo de citación = citation behaviour.

* modelo de distribución probabilística = probability distribution model.

* modelo de funcionamiento = business model.

* modelo de lógica difusa = fuzzy model.

* modelo de organización = organisational scheme.

* modelo de predicción = prediction model.

* modelo de recuperación de información por coincidencia óptima = best match model.

* modelo de referencia = reference model.

* modelo de test = test design.

* modelo de topless = topless model.

* modelo de trabajo = working model, business model.

* modelo económico = economic model.

* modelo ejemplar = exemplar, exemplary model, exemplary model.

* modelo empresarial = business model.

* modelo en su clase = showpiece.

* modelo en su género = showpiece.

* modelo estocástico = stochastic model.

* modelo informático = computer model.

* modelo matemático = mathematical model.

* modelo organizativo = organisational model.

* modelo por ordenador = computer model.

* modelo probabilístico = probabilistic model.

* modelos = modelling approach [modeling approach, -USA].

* modelos a seguir = best practices, lessons learned [lessons learnt].

* modelo teórico para la toma de decisiones = decision-theoretic model.

* número de modelo = model number.

* pase de modelos = designer ramp show.

* reconocimiento de modelos = pattern recognition.

* seguir como modelo = pattern.

* seguir un modelo = embrace + model, conform to + image.

* servir de modelo = serve as + a model.

* simulación mediante modelos = simulation modelling.

* tomar como modelo = pattern.

* usar como modelo = use + as a model.

* * *
I
adjetivo invariable

a) <niño/estudiante> model (before n); <comportamiento/carácter> exemplary

b) ( de muestra)

visité la casa modelo — I visited the model home (AmE) o (BrE) the showhouse
II
masculino

1)

a) ( ejemplo) model

copiaron el modelo cubano — they copied the Cuban model

su conducta es un modelo para todos — her conduct is an example to us all

tomar/utilizar algo como modelo — to take/use something as a model

tomó a su padre como modelo — he followed his father's example

b) (muestra, prototipo) model

modelo en or a escala — scale model

2) (tipo, diseño) model

el modelo de lujo — the deluxe model

3) (Indum) design

un modelo de Franelli — a Franelli (design)

llegó con un nuevo modelito — (fam) she arrived wearing a new little number

un sombrero último modelo — the (very) latest in hats
III
masculino y femenino model

desfile de modelos — fashion show

* * *

= mock-up, model, pattern, specimen, template, paragon, setter, standard setter, style sheet, beacon, exemplary, benchmark, benchmark.

Nota: Pruebas a las que se somete un producto para determinar sus tiempos de respuesta con respecto a ciertas operaciones.

Ex: A mock-up is a representation of a device or process that may be modified for training or analysis to emphasize a particular part or function; it usually has movable parts that can be manipulated.

Ex: The most satisfactory solution is to use an author abstract as a model, but to submit any author abstracts to thorough editing and checking.

Ex: In the same way that citation orders may have more or less theoretical foundations, equally reference generation may follow a predetermined pattern.

Ex: An object is a tree-dimensional artefact (or replica of an artefact) or a specimen of a naturally occurring entity.

Ex: The <F5> Original Input function provides an empty MARC record template for the creation of an original record.

Ex: Endowed with the gift of being able to both listen and question, this paragon always is ready to meet the public without losing balance or a sense of humor.

Ex: Accordingly, the role of librarian as pointer and setter must be tagged as obsolete.

Ex: Some producers of media materials are emerging as familiar and reliable names -- market leaders and standard setters -- with products as well known as those of the major book publishers = Están surgiendo algunos productores de material multimedia que se han convertido en nombres familiares y de confianza (líderes y modelos del mercado) con productos tan bien conocidos como los de los principales editores de libros.

Ex: A style sheet is essentially a template that can be used to create a consistent appearance across documents.

Ex: The British Library has recently been described as a ' beacon of excellence'.

Ex: PRECIS provides an exemplary illustration of the association and common ground between alphabetical indexing and classification.

Ex: Existing wireline networks, with their ubiquity, seamless operations, and ease of use, have provided clear benchmarks for satisfying customers' basic personal communications needs.

Ex: Benchmarks are the times taken to carry out a set of standard operations and they are comparable to the government fuel consumption figures for cars.

* adoptar un modelo = embrace + model.

* carta modelo = model letter.

* confeccionar utilizando un modelo = model.

* conjunto de modelos = model base.

* creación de modelos = modelling [modeling, -USA].

* desfile de modelos = designer ramp show, fashion show, catwalk show.

* ejemplos modelo = lessons learned [lessons learnt].

* el registro modelo = record-of-record.

* ficha modelo = form.

* método basado en modelos = modelling approach [modeling approach, -USA].

* modelo a imitar = role modelling, role model.

* modelo de análisis de costes = cost model.

* modelo de citación = citation behaviour.

* modelo de distribución probabilística = probability distribution model.

* modelo de funcionamiento = business model.

* modelo de lógica difusa = fuzzy model.

* modelo de organización = organisational scheme.

* modelo de predicción = prediction model.

* modelo de recuperación de información por coincidencia óptima = best match model.

* modelo de referencia = reference model.

* modelo de test = test design.

* modelo de topless = topless model.

* modelo de trabajo = working model, business model.

* modelo económico = economic model.

* modelo ejemplar = exemplar, exemplary model, exemplary model.

* modelo empresarial = business model.

* modelo en su clase = showpiece.

* modelo en su género = showpiece.

* modelo estocástico = stochastic model.

* modelo informático = computer model.

* modelo matemático = mathematical model.

* modelo organizativo = organisational model.

* modelo por ordenador = computer model.

* modelo probabilístico = probabilistic model.

* modelos = modelling approach [modeling approach, -USA].

* modelos a seguir = best practices, lessons learned [lessons learnt].

* modelo teórico para la toma de decisiones = decision-theoretic model.

* número de modelo = model number.

* pase de modelos = designer ramp show.

* reconocimiento de modelos = pattern recognition.

* seguir como modelo = pattern.

* seguir un modelo = embrace + model, conform to + image.

* servir de modelo = serve as + a model.

* simulación mediante modelos = simulation modelling.

* tomar como modelo = pattern.

* usar como modelo = use + as a model.

* * *

modelo¹

adj inv

model ( before n)

un marido/estudiante modelo a model husband/student

visitaron la casa modelo they visited the showhouse

modelo²

masculine

A

1 (ejemplo) model

su conducta es un modelo para todos her conduct is an example to us all

tomaron el sistema francés como modelo they used the French system as a model, they modeled their system on the French one

copiaron el modelo cubano they copied the Cuban model

2 (muestra, prototipo) model

el modelo se reproducirá en bronce the model will be reproduced in bronze

modelo en or a escala scale model

Compuestos:

● modelo económico

economic model

● modelo matemático

mathematical model

B (tipo, diseño) model

el modelo de lujo the deluxe model

C ( Indum) model

modelos exclusivos de las mejores boutiques exclusive designs from the best boutiques

hoy se ha venido con un nuevo modelito ( fam); she arrived wearing a new little number today

un sombrero último modelo the (very) latest in hats

un modelo de Franelli a Franelli, a Franelli design

Gloria luce un modelo de talle bajo realizado en lino Gloria is wearing a drop-waisted design in linen

modelo³

masculine and feminine

1 (maniquí) model

modelo de alta costura an haute couture model

desfile de modelos fashion show

2 (de publicidad) model

3 (de un artista) model

* * *

Del verbo modelar: ( conjugate modelar)

modelo es:

1ª persona singular (yo) presente indicativo

modeló es:

3ª persona singular (él/ella/usted) pretérito indicativo

Multiple Entries:
modelar
modelo
modelar ( conjugate modelar) verbo transitivo (Art) ‹ arcilla› to model;
‹estatua/figura› to model, sculpt;
‹ carácter› to mold^{( conjugate mold)}
verbo intransitivo
1 (Art) to model
2 (Andes) (para fotos, desfiles) to model
modelo adjetivo invariable
a) ‹niño/estudiante› model ( before n);

‹comportamiento/carácter› exemplary
b) ( de muestra):

◊ visité la casa modelo I visited the model home (AmE) o (BrE) the showhouse

■ sustantivo masculino
1 ( en general) model;
◊ tomar/utilizar algo como modelo to take/use sth as a model;

tomó a su padre como modelo he followed his father's example;
modelo en or a escala scale model
2 (Indum) design;
◊ un modelo de Franelli a Franelli (design);

llegó con un nuevo modelito (fam) she arrived wearing a new little number
■ sustantivo masculino y femenino
model;
◊ desfile de modelos fashion show

modelar verbo transitivo to model, shape
modelo
I adj inv & sustantivo masculino model
II mf (fashion) model

' modelo' also found in these entries:
Spanish:
cara
- desarrollar
- ideal
- maqueta
- mod.
- patrón
- patrona
- plantilla
- prototipo
- representar
- sacar
- tipo
- común
- desfilar
- hechura
- lucir
- velocidad
- versión
English:
employ
- fashion model
- full-scale
- mark
- model
- pattern
- pose
- regular
- role model
- style
- design
- liable
- role
- state

* * *

modelo

♦ adj

model;

es un estudiante modelo he is a model student

♦ nmf

1. [de moda] model;

desfile de modelos fashion show o parade

2. [de artista] model

♦ nm

1. [diseño] model;

tengo un modelo anterior I have an older model;

tengo una bicicleta último modelo I have the latest-model bicycle

2. [representación a escala] model

Comp
modelo a escala scale model;
modelo reducido scale model

3. [prenda de vestir] outfit;

llevaba un modelo de Versace she was wearing a Versace outfit

4. [patrón, referencia] model;

servir de modelo to serve as a model;

usaré tu carta como modelo I'll use your letter as a model

5. [teórico] model

Comp
modelo económico economic model;
modelo matemático mathematical model

* * *

modelo

I m

1 ( maqueta) model

2 ( ejemplo) model, example

II m/f persona model

* * *

modelo adj

: model

una casa modelo: a model home

modelo nm

: model, example, pattern

modelo nmf

: model, mannequin

* * *

modelo adj n model

le gustaría ser modelo she'd like to be a model

un niño modelo a model child

Spanish-English dictionary > modelo
12 ecuación matemática

(n.) = mathematical expression

Ex. Guidelines can be expected to discuss some or all of the following: list of standard abbreviations, including those of journal titles and standard forms of quoting chemical nomenclature and mathematical expressions.

* * *

(n.) = mathematical expression

Ex: Guidelines can be expected to discuss some or all of the following: list of standard abbreviations, including those of journal titles and standard forms of quoting chemical nomenclature and mathematical expressions.

Spanish-English dictionary > ecuación matemática
13 mencionar

v.

to mention.

Ella nombra razones She names reasons.

* * *

mencionar

► verbo transitivo

1 to mention, cite

* * *

verb

to mention

* * *

VT to mention

sin mencionar... — not to mention..., let alone...

dejar de mencionar — to fail to mention

* * *

verbo transitivo to mention

el tema mencionado anteriormente — the aforementioned o abovementioned matter (frml)

no quiero oír mencionar ese nombre — I don't want to hear that name mentioned

* * *

= give, make + mention of, mention, name, note, quote, record, refer to, reference, touch on/upon, broach, bring + Nombre + up, speak to, make + reference to.

Ex. An abstract of a bibliography can be expected to note whether author affiliations are given = Es de esperar que el resumen de una bibliografía indique si se incluyen los lugares de trabajo de los autores.

Ex. The LC cataloging made no mention of the fact that this book had been severely censored.

Ex. Some of these codes have been mentioned in chapter 4.

Ex. The author statement may, for example, name all of a string of authors, or just the first named.

Ex. In the future, a number of further developments can be fairly confidently predicted in addition to the expansion of those noted above.

Ex. Guidelines can be expected to discuss standard forms of quoting chemical nomenclature and mathematical expressions.

Ex. Editors and compilers of editions of works are recorded together with the edition statement in the edition area = En en área de edición se incluyen los editores y compiladores de las ediciones de trabajos junto con la mención de edición.

Ex. A bibliographic data base comprises a set of records which refer to documents (such as books, films, periodical articles or reports).

Ex. Only a single copy of the name, subject heading, etc., would be maintained in the system and referenced by every bibliographic record using that heading.

Ex. A cataloguing code also touches on the subject of bibliographic description.

Ex. Some of the consequences of this conclusion are broached in this article.

Ex. The reason I didn't bring this up in my paper is that I've learned from bitter experience that it's well to be radical about one thing at a time.

Ex. Numerous articles in the library literature speak to this phenomenon but most deal with the experience of larger libraries.

Ex. Discuss the advantages and disadvantages of asexual reproduction by making reference to different types of asexual reproduction in plants and animals.

----

* ahora que lo menciono = speaking of which.

* mencionar de nuevo = restate [re-state].

* mencionar de nuevo innecesariamente = belabour [belabor, -USA].

* mencionar de pasada = make + passing mention.

* mencionarse = appear.

* mencionarse en conversación = come up + discussion.

* mencionar una cuestión = bring up + matter, bring up + point.

* mencionar una idea = bring up + idea.

* mencionar un problema = bring + problem up.

* mencionar un punto = touch on + a point.

* mencionar un tema = broach + subject, broach + topic, touch on + a point.

* no poder dejar de mencionar = cannot but notice.

* no poder evitar mencionar = cannot but notice.

* por mencionar sólo algunos = to mention but a few of, to mention only a few.

* por mencionar sólo unos cuantos = to mention but a few of, to mention only a few.

* por mencionar sólo unos pocos = to name but a few.

* por mencionar uno pocos = just to name a few.

* por mencionar unos pocos = just to name a few.

* por no mencionar = not to mention.

* (que se menciona) a continuación = below.

* sin mencionar = not to mention, not to say, not to speak of.

* * *

verbo transitivo to mention

el tema mencionado anteriormente — the aforementioned o abovementioned matter (frml)

no quiero oír mencionar ese nombre — I don't want to hear that name mentioned

* * *

= give, make + mention of, mention, name, note, quote, record, refer to, reference, touch on/upon, broach, bring + Nombre + up, speak to, make + reference to.

Ex: An abstract of a bibliography can be expected to note whether author affiliations are given = Es de esperar que el resumen de una bibliografía indique si se incluyen los lugares de trabajo de los autores.

Ex: The LC cataloging made no mention of the fact that this book had been severely censored.

Ex: Some of these codes have been mentioned in chapter 4.

Ex: The author statement may, for example, name all of a string of authors, or just the first named.

Ex: In the future, a number of further developments can be fairly confidently predicted in addition to the expansion of those noted above.

Ex: Guidelines can be expected to discuss standard forms of quoting chemical nomenclature and mathematical expressions.

Ex: Editors and compilers of editions of works are recorded together with the edition statement in the edition area = En en área de edición se incluyen los editores y compiladores de las ediciones de trabajos junto con la mención de edición.

Ex: A bibliographic data base comprises a set of records which refer to documents (such as books, films, periodical articles or reports).

Ex: Only a single copy of the name, subject heading, etc., would be maintained in the system and referenced by every bibliographic record using that heading.

Ex: A cataloguing code also touches on the subject of bibliographic description.

Ex: Some of the consequences of this conclusion are broached in this article.

Ex: The reason I didn't bring this up in my paper is that I've learned from bitter experience that it's well to be radical about one thing at a time.

Ex: Numerous articles in the library literature speak to this phenomenon but most deal with the experience of larger libraries.

Ex: Discuss the advantages and disadvantages of asexual reproduction by making reference to different types of asexual reproduction in plants and animals.

* ahora que lo menciono = speaking of which.

* mencionar de nuevo = restate [re-state].

* mencionar de nuevo innecesariamente = belabour [belabor, -USA].

* mencionar de pasada = make + passing mention.

* mencionarse = appear.

* mencionarse en conversación = come up + discussion.

* mencionar una cuestión = bring up + matter, bring up + point.

* mencionar una idea = bring up + idea.

* mencionar un problema = bring + problem up.

* mencionar un punto = touch on + a point.

* mencionar un tema = broach + subject, broach + topic, touch on + a point.

* no poder dejar de mencionar = cannot but notice.

* no poder evitar mencionar = cannot but notice.

* por mencionar sólo algunos = to mention but a few of, to mention only a few.

* por mencionar sólo unos cuantos = to mention but a few of, to mention only a few.

* por mencionar sólo unos pocos = to name but a few.

* por mencionar uno pocos = just to name a few.

* por mencionar unos pocos = just to name a few.

* por no mencionar = not to mention.

* (que se menciona) a continuación = below.

* sin mencionar = not to mention, not to say, not to speak of.

* * *

mencionar [A1 ]

vt

to mention

con referencia al tema mencionado anteriormente with reference to the aforementioned o abovementioned matter ( frml)

no quiero oír mencionar ese nombre I don't want to hear that name mentioned

* * *

mencionar ( conjugate mencionar) verbo transitivo
to mention;
◊ no quiero oír mencionar ese nombre I don't want to hear that name mentioned

mencionar verbo transitivo to mention ➣ Ver nota en mention

' mencionar' also found in these entries:
Spanish:
citar
- comentar
- nombrar
- aludir
- omitir
- señor
- señorita
English:
mention
- name-dropping
- rake up
- touch
- touch on
- you-know-who
- broach
- name
- wrong

* * *

mencionar vt

to mention;

en el mencionado estudio se afirma que… in the above-mentioned study it is stated that…

* * *

mencionar

v/t mention

* * *

mencionar vt

: to mention, to refer to

* * *

mencionar vb to mention

Spanish-English dictionary > mencionar
14 pensamiento

m.

1 thought.

leer el pensamiento a alguien to read somebody's mind o thoughts

2 pansy (botany).

3 thinking, ability to think.

* * *

pensamiento

► nombre masculino

1 (idea) thought

2 (mente) mind

3 BOTÁNICA pansy

* * *

noun m.

thought

* * *

SM

1) (=facultad) thought

- como el pensamiento

2) (=mente) mind

acudir o venir al pensamiento de algn — to come to sb's mind

no le pasó por el pensamiento — it never occurred to him, it never entered his mind

envenenar el pensamiento de algn — to poison sb's mind ( contra against)

ni por pensamiento — I wouldn't dream of it

3) (=cosa pensada) thought

mal pensamiento — nasty thought

el pensamiento de Quevedo — Quevedo's thought

adivinar los pensamientos de algn — to read sb's thoughts, guess what sb is thinking

nuestro pensamiento sobre este tema — our thinking on this subject

pensamiento único — (Pol) single system of values

4) (=propósito) idea, intention

mi pensamiento es hacer algo — my idea o intention is to do sth

5) (Bot) pansy

* * *

masculino

1)

a) ( facultad) thought

b) ( cosa pensada) thought

me adivinó el pensamiento — she read my mind o my thoughts

c) ( doctrina) thinking

d) ( máxima) thought

- pensamiento lateral

2) (Bot) pansy

* * *

= mind, thinking, thought, rationality, strands of thought.

Ex. Titles present filing problems (particularly in the minds of users).

Ex. Let us attempt to examine first the thinking and philosophy behind the arrangement of libraries designed in this period.

Ex. Amongst these are numbered: some specific legal and governmental works, such as laws, decrees, treaties; works that record the collective thought of a body, for example, reports of commissions and committees; and various cartographic materials.

Ex. A model of how librarians may actually go about book selection is presented in three ways: rationality; tacit knowledge; and symbolic content.

Ex. By looking at the work of some cyberfeminists, the author attempts to give a clearer picture of key debates and strands of thought in cyberfeminism.

----

* adivinar el pensamiento = read + Posesivo + mind, read + Posesivo + thoughts.

* corriente de pensamiento = trend of thought, stream of consciousness.

* de pensamiento liberal = liberal-minded.

* escuela de pensamiento = school of thought.

* expresar + Posesivo + pensamientos = find + Posesivo + (own) voice, find + voice, find + a voice.

* leer el pensamiento = read + Posesivo + mind, read + Posesivo + thoughts.

* libertad de pensamiento = freedom of thought, freedom to think, free thought.

* líder del pensamiento = leader of thought.

* línea de pensamiento = line of thought.

* método de pensamiento en voz alta = thinking aloud method.

* pensamiento abstracto = abstract thought.

* pensamiento analítico = analytic thinking.

* pensamiento científico = scientific thought.

* pensamiento creativo = creative thinking.

* pensamiento crítico = critical thinking.

* pensamiento deductivo = deductive thought.

* pensamiento de grupo = groupthink.

* pensamiento de orden superior = higher-order thinking.

* pensamiento errante = meandering thought.

* pensamiento errático = meandering thought.

* pensamiento grupal = groupthink.

* pensamiento humano = human thought.

* pensamiento intelectual = intellectual thought.

* pensamiento lateral = lateral thinking.

* pensamiento liberal = liberal thought.

* pensamiento libre = free thought.

* pensamiento matemático = mathematical thinking.

* pensamiento original = creative thinking.

* pensamiento que ronda la cabeza de uno = thought + run through + Posesivo + head.

* pensamiento racional = rational thought.

* serie de pensamientos encadenados = chain of thoughts.

* * *

masculino

1)

a) ( facultad) thought

b) ( cosa pensada) thought

me adivinó el pensamiento — she read my mind o my thoughts

c) ( doctrina) thinking

d) ( máxima) thought

- pensamiento lateral

2) (Bot) pansy

* * *

= mind, thinking, thought, rationality, strands of thought.

Ex: Titles present filing problems (particularly in the minds of users).

Ex: Let us attempt to examine first the thinking and philosophy behind the arrangement of libraries designed in this period.

Ex: Amongst these are numbered: some specific legal and governmental works, such as laws, decrees, treaties; works that record the collective thought of a body, for example, reports of commissions and committees; and various cartographic materials.

Ex: A model of how librarians may actually go about book selection is presented in three ways: rationality; tacit knowledge; and symbolic content.

Ex: By looking at the work of some cyberfeminists, the author attempts to give a clearer picture of key debates and strands of thought in cyberfeminism.

* adivinar el pensamiento = read + Posesivo + mind, read + Posesivo + thoughts.

* corriente de pensamiento = trend of thought, stream of consciousness.

* de pensamiento liberal = liberal-minded.

* escuela de pensamiento = school of thought.

* expresar + Posesivo + pensamientos = find + Posesivo + (own) voice, find + voice, find + a voice.

* leer el pensamiento = read + Posesivo + mind, read + Posesivo + thoughts.

* libertad de pensamiento = freedom of thought, freedom to think, free thought.

* líder del pensamiento = leader of thought.

* línea de pensamiento = line of thought.

* método de pensamiento en voz alta = thinking aloud method.

* pensamiento abstracto = abstract thought.

* pensamiento analítico = analytic thinking.

* pensamiento científico = scientific thought.

* pensamiento creativo = creative thinking.

* pensamiento crítico = critical thinking.

* pensamiento deductivo = deductive thought.

* pensamiento de grupo = groupthink.

* pensamiento de orden superior = higher-order thinking.

* pensamiento errante = meandering thought.

* pensamiento errático = meandering thought.

* pensamiento grupal = groupthink.

* pensamiento humano = human thought.

* pensamiento intelectual = intellectual thought.

* pensamiento lateral = lateral thinking.

* pensamiento liberal = liberal thought.

* pensamiento libre = free thought.

* pensamiento matemático = mathematical thinking.

* pensamiento original = creative thinking.

* pensamiento que ronda la cabeza de uno = thought + run through + Posesivo + head.

* pensamiento racional = rational thought.

* serie de pensamientos encadenados = chain of thoughts.

* * *

pensamiento

masculine

A

1 (facultad) thought

2 (cosa pensada) thought

siempre me adivina el pensamiento she always knows what I'm thinking, she can always read my mind o my thoughts

3 (doctrina) thinking

el pensamiento político de la época the political thinking of the time

4 (máxima, sentencia) thought

estas citas son pensamientos de autores célebres these quotes are the thoughts of famous writers

Compuesto:

pensamiento lateral

lateral thinking

B ( Bot) pansy

* * *

pensamiento sustantivo masculino
1
a) ( facultad) thought

b) ( cosa pensada) thought

c) ( doctrina) thinking

d) ( máxima) thought

2 (Bot) pansy
pensamiento sustantivo masculino
1 (una idea) thought
2 (un conjunto de ideas) thinking
3 Bot pansy
♦ Locuciones: leer el pensamiento, to read sb's mind
pasársele a uno por el pensamiento, to come to one's mind
' pensamiento' also found in these entries:
Spanish:
adivinar
- antípodas
- asaltar
- desterrar
- espina
- hilo
- manifestar
- vacía
- vacío
- abstraerse
- agilizar
- ánimo
- leer
- profundo
- rondar
- transmisión
English:
avert
- deep
- destructive
- impure
- impurity
- pansy
- private
- reflection
- run
- thinking
- thought
- train
- unvoiced
- mind

* * *

pensamiento nm

1. [facultad] thought;
[mente] mind;
se debe potenciar la capacidad de pensamiento en los alumnos pupils should be encouraged to think;

sumido en sus pensamientos deep in thought;

no me pasó por el pensamiento it never crossed my mind;

leer el pensamiento a alguien to read sb's mind o thoughts

Comp
pensamiento lateral lateral thinking
2. [idea] idea, thought;

el pensamiento socialdemócrata social democratic thought o thinking

Comp
Pol el pensamiento único:
según el pensamiento único… according to the current free-market liberal-democratic consensus…

3. [sentencia] maxim, saying

4. [flor] pansy

* * *

pensamiento

m

1 ( reflexión) thought

2 BOT pansy

* * *

pensamiento nm

1) : thought

2) : thinking

3) : pansy

* * *

pensamiento n thought

Spanish-English dictionary > pensamiento
15 cálculo

m.

1 calculation, figuring, computation, estimate.

2 calculation, guess, conjecture.

3 calculus.

4 calculus, stone.

* * *

cálculo

► nombre masculino

1 calculation, estimate

2 (conjetura) conjecture, reckoning

■ según sus cálculos by her reckoning

3 MATEMÁTICAS calculus

4 MEDICINA gallstone

\

FRASEOLOGÍA

cálculo biliar bile stone

cálculo mental mental arithmetic

* * *

noun m.

1) calculation

2) reckoning, estimate

3) stone

* * *

SM

1) [gen] calculation, reckoning; (=conjetura) estimate, conjecture; (Mat) calculus

según mis cálculos — by my reckoning, by my calculations

obrar con mucho cálculo — to act cautiously

hoja de cálculo — spreadsheet

libro de cálculos hechos — ready reckoner

cálculo de costo — costing, pricing (EEUU)

cálculo de probabilidades — theory of probability

cálculo diferencial — differential calculus

cálculo mental — mental arithmetic

2) (Med) stone

cálculo biliar — gallstone

* * *

masculino

1) (Mat)

a) ( operación) calculation

según mis cálculos — according to my calculations

hizo un cálculo aproximado — she made a rough estimate

b) ( disciplina) calculus

- cálculo mental

2) (plan, conjetura)

eso no entraba en mis cálculos — I hadn't allowed for that in my plans o calculations

le fallaron los cálculos — things didn't work out as he had planned

superó los cálculos más optimistas — it exceeded even the most optimistic estimates

fue un error de cálculo — I/he/they misjudged o miscalculated

3) (Med) stone, calculus (tech)

•

- cálculo biliar

- cálculo renal

* * *

masculino

1) (Mat)

a) ( operación) calculation

según mis cálculos — according to my calculations

hizo un cálculo aproximado — she made a rough estimate

b) ( disciplina) calculus

- cálculo mental

2) (plan, conjetura)

eso no entraba en mis cálculos — I hadn't allowed for that in my plans o calculations

le fallaron los cálculos — things didn't work out as he had planned

superó los cálculos más optimistas — it exceeded even the most optimistic estimates

fue un error de cálculo — I/he/they misjudged o miscalculated

3) (Med) stone, calculus (tech)

•

- cálculo biliar

- cálculo renal

* * *

cálculo¹

¹ = arithmetic, calculation, calculus [calculuses, -pl.], computation, counting, estimation, calculability, reckoning.

Ex: Since the system's arithmetic depends upon the way amounts of money are entered, standards for entry for the various currencies must be established.

Ex: For example, without scanning the entire index it is impossible to estimate the total number of relevant documents in the system, a figure that is required in the calculation of recall.

Ex: He is not even a man who can readily perform the transformations of equations by the use of calculus.

Ex: Frequently numeric data bases and the hosts which support them permit some computation and manipulation of the retrieved data.

Ex: Rapid electrical counting appeared soon after the physicists found it desirable to count cosmic rays.

Ex: Our estimation is that we have 845,000 nonunique names in the MARC data base.

Ex: According to George Ritzer's theory of McDonaldization, services and procedures once subject to the fluctuations of human interaction undergo a rationalization process that emphasizes efficiency, predictability, calculability, and control.

Ex: On the most superficial reckoning it is a matter of national concern.

* cálculo aproximado = estimate, ballpark estimate.

* cálculo matemático = mathematical calculation.

* centro de cálculo = computer centre, computing centre, central computing facility.

* error de cálculo = miscalculation, mathematical mistake, mathematical error, calculation error, calculation mistake.

* hoja de cálculo = spreadsheet.

* hoja de cálculo electrónica = electronic spreadsheet.

* procedimiento de cálculo = arithmetic.

* realizar un cálculo = carry out + calculation.

* regla de cálculo = slide rule.

* tabla de cálculo = reckoner, ready reckoner.

cálculo²

² = kidney stone, calculus [calculi, -pl.].

Ex: The author examines the relationship between tea consumption and oral health, bone health, thermogenesis, cognitive function, and kidney stones.

Ex: Nephritic colic only appears when a calculus obstructs the ureter, which runs from the kidney to the bladder.

* cálculo biliar = gallstone.

* cálculo renal = calculus [calculi, -pl.].

* * *

cálculo

masculine

A ( Mat)

1 (operación) calculation

según mis cálculos debe faltar poco para llegar according to my calculations o by my reckoning we must be nearly there

hizo un cálculo aproximado de los gastos she made a rough estimate of the costs

regla

2 (disciplina) calculus

Compuestos:

● cálculo de probabilidades

calculation of probabilities

● cálculo diferencial

differential calculus

● cálculo integral

integral calculus

● cálculo mental

mental arithmetic

B

(plan, conjetura): eso no entraba en mis cálculos I hadn't allowed for that in my plans o calculations

le fallaron los cálculos things didn't work out as he had hoped o planned

superó los cálculos más optimistas it exceeded even the most optimistic estimates

fue un error de cálculo I/he/they misjudged o miscalculated

C ( Med) stone, calculus ( tech)

Compuestos:

● cálculo biliar

gallstone, bilestone

● cálculo renal

kidney stone, renal calculus ( tech)

* * *

Del verbo calcular: ( conjugate calcular)

calculo es:

1ª persona singular (yo) presente indicativo

calculó es:

3ª persona singular (él/ella/usted) pretérito indicativo

Multiple Entries:
calcular
cálculo
calcular ( conjugate calcular) verbo transitivo
1
a) (Mat) to calculate, work out;

◊ calculé mal la distancia I miscalculated the distance

b) ( evaluar) ‹pérdidas/gastas› to estimate

c) ( conjeturar) to reckon, to guess (esp AmE);

◊ yo le calculo unos sesenta años I reckon o guess he's about sixty

d) ( imaginar) to imagine

2 ( planear) to work out;
◊ lo tenía todo calculado he had it all worked out

cálculo sustantivo masculino
1 (Mat)
a) ( operación) calculation;

◊ según mis cálculos according to my calculations;

hizo un cálculo aproximado she made a rough estimate;
cálculo mental mental arithmetic
b) ( disciplina) calculus

2 ( plan):
◊ eso no entraba en mis cálculos I hadn't allowed for that in my plans o calculations;

le fallaron los cálculos things didn't work out as he had planned;
un error de cálculo a miscalculation
3 (Med) stone, calculus (tech)
calcular verbo transitivo
1 Mat to calculate
2 (evaluar, estimar) to (make an) estimate: no supe calcular los riesgos, I was not able to determine the risks
calculé mal la distancia y me caí, I failed to gauge the distance and I fell
3 (conjeturar) to reckon, guess: calculo que mañana podré ir al museo, I guess I'll be able to go to the museum tomorrow
cálculo sustantivo masculino
1 (operación matemática) calculation
2 (previsión, conjetura) reckoning
según mis cálculos, by my reckoning
3 Med gallstone
4 Mat (disciplina) calculus
' cálculo' also found in these entries:
Spanish:
antecesor
- antecesora
- calcular
- cuenta
- error
- estimativa
- estimativo
- exagerada
- exagerado
- hoja
- margen
- por
- presupuesto
- aproximado
- balance
- estimación
- expulsar
- piedra
- ponderar
- sacar
- vuelo
English:
assessment
- calculation
- computation
- computing
- estimate
- estimation
- gallstone
- miscalculation
- printout
- reckoning
- rough
- spreadsheet
- stone
- sum
- allow
- conservative
- gall
- judgment
- mark
- quantity
- slide
- spread

* * *

cálculo nm

1. [operación] calculation;

cálculo aproximado estimate;

hacer un cálculo aproximado to estimate, to make an estimate;

hacer cálculos to do some calculations;

estamos haciendo cálculos para saber cuánta gente vendrá we're trying to work out how many people are going to come

Comp
Com cálculo de costos costing;
cálculo mental: [m5] hacer cálculos mentales to do mental arithmetic

2. [ciencia] calculus

Comp
cálculo diferencial differential calculus;
cálculo infinitesimal infinitesimal calculus;

cálculo integral integral calculus

3. [evaluación] estimate;

si no me fallan los cálculos,… if my calculations are correct,…;

según mis cálculos, llegaremos a las cinco by my reckoning, we'll arrive at five o'clock

Comp
cálculo de probabilidades probability theory
4. Med stone, Espec calculus

Comp
cálculo biliar gallstone;
cálculo renal kidney stone

* * *

cálculo

m

1 calculation

2 MED stone

* * *

cálculo nm

1) : calculation, estimation

2) : calculus

3) : plan, scheme

4)

cálculo biliar : gallstone

5)

hoja de cálculo : spreadsheet

* * *

cálculo n calculation

Spanish-English dictionary > cálculo
16 importancia

f.

importance.

dar importancia a algo to attach importance to something

darse importancia to give oneself airs

de importancia important, of importance

no tiene importancia it's not important; (no es importante) it doesn't matter (no pasa nada)

sin importancia unimportant

quitar importancia a algo to play something down

* * *

importancia

► nombre femenino

1 importance

\

FRASEOLOGÍA

dar importancia a algo to take something seriously

darse importancia to give oneself airs

de importancia (gen) important 2 (herida, lesión) serious

no tiene importancia it's nothing, it doesn't matter, it's not important

quitar importancia a algo, restar importancia a algo to play something down

sin importancia unimportant

tener importancia to be important

* * *

noun f.

importance

* * *

SF importance

tu ayuda ha sido de gran importancia — your help has been very important o of great importance

un autor de importancia universal — an author of worldwide renown

¿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 unimportant

• de cierta importancia — [empresa, asunto] of some importance, important; [herida] serious

• conceder o dar mucha importancia a algo — to attach great importance to sth

no 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

• quitar o restar importancia a algo — to make light of sth, play down the importance of sth

• sin importancia — [herida, comentario] minor

son detalles sin importancia — these are minor details

* * *

femenino importance

detalles 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

no tiene importancia — it doesn't matter

¿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 importance

detalles 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

no tiene importancia — it doesn't matter

¿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.

* * *

importancia

feminine

importance

temas de gran importancia matters of great importance o significance o ( frml) of great import

ésos son detalles sin importancia those are minor o unimportant o insignificant details

trató de quitarle or restarle importancia al problema she tried to make light of the problem, she tried to play down the importance of the problem

no 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 matter

siento 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;
◊ darle importancia a algo to attach importance to sth;

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 nf

importance;

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;

adquirir o [m5] cobrar importancia to become important, to take on significance;

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;

quitar o [m5] restar importancia a algo to play sth down

* * *

importancia

f importance;

dar importancia a attach importance to;

quitar o

restar 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 importance

darse importancia to give yourself airs [pt. gave; pp. given]

tener importancia to be important / to matter

Spanish-English dictionary > importancia
17 almacén

m.

1 store, establishment, shop, department store.

2 storehouse, depository, warehouse, depot.

3 grocery, grocery store, grocery shop, bodega.

4 grocer, grocery, grocer's shop.

* * *

almacén

► nombre masculino

1 (local) warehouse, storehouse

2 (habitación) storeroom

► nombre masculino plural almacenes

1 department store sing

\

FRASEOLOGÍA

grandes almacenes department store sing

* * *

noun m.

1) store

2) warehouse

* * *

SM

1) [de mercancías] warehouse, store

tener algo en almacén — (=de reserva) to have sth in store; (Com) to stock sth

almacén de depósito — bonded warehouse

almacén depositario — (Com) depository

2) (Mec, Mil) magazine

3) (=tienda) shop, store

almacenes, grandes almacenes — department store sing

Almacenes Pérez — Pérez Department Store

almacén frigorífico — cold store

4) LAm (=tienda de comestibles) grocer's (shop)

* * *

masculino

a) ( depósito) warehouse

b) (CS) ( de comestibles) grocery store (AmE), grocer's (shop) (BrE)

c) (AmC, Col, Ven) (de ropa, etc) store (AmE), shop (BrE)

d) ( de mayorista) wholesaler's

e) almacenes masculino plural department store

* * *

= storehouse, warehouse, storeroom [store-room], storing room, depot, stockroom, storage facility, storage room.

Ex. The first alternative views the library as a storehouse for cultural materials, a reservoir of significant books.

Ex. Our warehouse shelter a 13 metre high, 60 ton ammonia retort and a 37 metre wingspan airliner.

Ex. Mathematical models are presented that describe the diffusion of gaseous pollutants from the air in a storeroom into protective containers and the reaction with the documents lying in them.

Ex. It is unlikely for libraries in poor countries to set up a special building or storing room and finance its maintenance.

Ex. The depot buys the books for the schools and passes on to them some of the discount it receives by buying direct from the publishers.

Ex. Among the causes of damage to archival records, temperature, moisture content, and pollution of the air in stockrooms play an important role.

Ex. Due to a seasonal demand, when the storage facility is full this product has to be dumped into the quarry using dumpers.

Ex. All storage rooms where flammable liquids are stored should have restricted access and be properly identified.

----

* almacén de libros = book-warehouse.

* almacén de maderas = lumberyard, timber yard.

* almacén de papelería = stationery store.

* almacén frigorífico = freezer warehouse.

* encargado del almacén = warehouse keeper, warehouseman [warehousemen, pl.].

* grandes almacenes = department store.

* * *

masculino

a) ( depósito) warehouse

b) (CS) ( de comestibles) grocery store (AmE), grocer's (shop) (BrE)

c) (AmC, Col, Ven) (de ropa, etc) store (AmE), shop (BrE)

d) ( de mayorista) wholesaler's

e) almacenes masculino plural department store

* * *

= storehouse, warehouse, storeroom [store-room], storing room, depot, stockroom, storage facility, storage room.

Ex: The first alternative views the library as a storehouse for cultural materials, a reservoir of significant books.

Ex: Our warehouse shelter a 13 metre high, 60 ton ammonia retort and a 37 metre wingspan airliner.

Ex: Mathematical models are presented that describe the diffusion of gaseous pollutants from the air in a storeroom into protective containers and the reaction with the documents lying in them.

Ex: It is unlikely for libraries in poor countries to set up a special building or storing room and finance its maintenance.

Ex: The depot buys the books for the schools and passes on to them some of the discount it receives by buying direct from the publishers.

Ex: Among the causes of damage to archival records, temperature, moisture content, and pollution of the air in stockrooms play an important role.

Ex: Due to a seasonal demand, when the storage facility is full this product has to be dumped into the quarry using dumpers.

Ex: All storage rooms where flammable liquids are stored should have restricted access and be properly identified.

* almacén de libros = book-warehouse.

* almacén de maderas = lumberyard, timber yard.

* almacén de papelería = stationery store.

* almacén frigorífico = freezer warehouse.

* encargado del almacén = warehouse keeper, warehouseman [warehousemen, pl.].

* grandes almacenes = department store.

* * *

almacén

masculine

1 (depósito) warehouse

2 (CS) (de comestibles) grocery store ( AmE), grocer's (shop) ( BrE)

3 (AmC, Col, Ven) (de ropa, etc) store ( AmE), shop ( BrE)

4 (de mayorista) wholesaler's

5 almacenes mpl department store grande¹ (↑ grande (1))

Compuesto:

almacén de ramos generales

(CS) general store

* * *

almacén sustantivo masculino
a) ( depósito) warehouse

b) (CS) ( de comestibles) grocery store (AmE), grocer's (shop) (BrE)

c) (AmC, Col, Ven) (de ropa, etc) store (AmE), shop (BrE)

d) ( de mayorista) wholesaler's

e)

◊ almacenes sustantivo masculino plural

department store
almacén sustantivo masculino
1 (depósito de mercancías) warehouse
2 (tienda de venta al por mayor) wholesaler's
3 LAm (tienda de comestibles) grocer's shop
4 Com (grandes) almacenes, department store sing
' almacén' also found in these entries:
Spanish:
nave
- pajar
- bodega
- depósito
- galpón
- polvorín
English:
arsenal
- bonded warehouse
- cash-and-carry
- depot
- ex
- repository
- stack
- store
- timber-yard
- warehouse
- woodshed
- general
- grocer
- grocery
- lumber
- stock

* * *

almacén nm

1. [para guardar] warehouse

Comp
almacén frigorífico refrigerated storehouse;
almacén de mercancías Br goods o US freight depot

2. [tienda] store, shop;

(grandes) almacenes department store

3. Andes, RP [de alimentos] grocer's (shop), grocery store

4. CAm [de ropa] clothes shop

* * *

almacén

m

1 warehouse

2 ( tienda) store, Br

shop;

grandes almacenes pl department store sg

3 Andes, Rpl

grocery store, Br

grocer’s

* * *

almacén nm, pl - cenes

1) bodega: warehouse, storehouse

2) tienda: shop, store

3)

gran almacén Spain : department store

* * *

almacén n

1. (edificio) warehouse

un almacén de muebles a furniture warehouse

2. (habitación) storeroom

grandes almacenes department store

Spanish-English dictionary > almacén
18 continuar

v.

1 to continue, to go on, to carry on with.

los peregrinos continuaron su camino the pilgrims went or continued on their way

continuar haciendo algo to continue doing o to do something

continúa lloviendo it's still raining

todavía continúa en la empresa she's still with o working for the company

continuará to be continued (historia, programa)

El suplicio continuó The torture continued.

María continuó el trabajo de Ricardo Mary continued John's work.

Me continúa el dolor My pain persists=continues.

2 to keep on, to continue to.

Yo continúo estudiando I keep on studying.

3 to continue to be.

* * *

continuar

Conjugation model [ ACTUAR], like link=actuar actuar

► verbo transitivo

1 (proseguir) to continue, carry on

■ continuó su camino she continued on her way

■ continuaron su viaje they continued their journey

► verbo intransitivo

1 (permanecer, durar) to continue, go on

■ el espectáculo continúa the show continues

■ continúa lloviendo it's still raining

■ Pablo continúa en Praga Pablo is still in Prague

► verbo pronominal continuarse

1 (extenderse) to extend, run

\

FRASEOLOGÍA

'Continuará' (capítulos, episodios, etc) "To be continued"

* * *

verb

to continue, go on

* * *

1.

VT to continue

el tren continuó su marcha — the train continued its journey

continuó sus estudios en Barcelona — she continued her studies in Barcelona

continuaremos la clase mañana — we will go on with o continue the lesson tomorrow

continuó su vida como antes — he went on with o continued with his life as before

2. VI

1) [historia, espectáculo, guerra] to continue, go on

la búsqueda continuó durante toda la noche — the search continued o went on all night

continúe, por favor — please continue, please go on

la serie continúa la semana que viene — the series continues next week

"continuará" — "to be continued"

pase lo que pase, la vida continúa — come what may, life goes on

2) [en una situación]

la puerta continúa cerrada — the door is still shut, the door remains shut frm

continúa muy grave — she is still in a critical condition, she remains in a critical condition frm

continúa en el mismo puesto de trabajo — she is still in the same post, she remains in the same post frm

continuaba en Noruega — he was still in Norway

• continuar con algo — to continue with sth, go on with sth

continuó con su trabajo — he continued with o went on with his work

Pablo continúa con Irene — Pablo is still (together) with Irene

continuar con salud — to be still in good health, remain in good health frm

• continuar haciendo algo, continuó leyendo — she continued to read o reading, she went on reading

la policía continuará investigando el caso — the police are to continue o go on investigating the case

a pesar de todo, continúa diciendo lo que piensa — in spite of everything, she continues to speak her mind o she still speaks her mind

continúa lloviendo — it's still raining

continuaba trabajando para ellos — he still worked for them

en cualquier caso continúo siendo optimista — in any case, I remain optimistic o I am still optimistic

3) [camino, carretera] to continue, go on, carry on

el camino continúa hasta la costa — the road continues o goes on o carries on (all the way) to the coast

* * *
1.
verbo transitivo to continue

continuemos la marcha — let's go on o carry on
2.
continuar vi

a) guerra/espectáculo/vida to continue

si las cosas continúan así — if things go on o continue like this

continuará — to be continued

la película continúa en cartelera — the movie is still showing

continuar con algo — to continue with something

continuar + ger: su estado continúa siendo delicado he is still in a weak condition; continúa negándose a declarar she is still refusing to make a statement; continuó diciendo que... — she went on to say that...

b) carretera to continue
3.
continuarse v pron (frml) to continue

el camino se continúa en un sendero — the road continues as a path

su obra se continuó en sus discípulos — his work was continued by his disciples

* * *

= continue, go on, linger on, move on, persevere, persist, wrap, keep + going, proceed, push on, press on, recommence, run over, move forward, hang on, carry forward, carry on, go ahead, carry through, soldier on, keep up, roll on, take it from here.

Ex. Thus our catalogs will continue to fail our readers until reconstructed on the basis of the AACR, which has remedied the situation by providing for the consistent use of uniform titles wherever required.

Ex. Several members of the group raised polite brows and implored him to go on.

Ex. The song may be forgotten but among library users the sentiment lingers on.

Ex. Rather readers grow by fits and starts now rushing ahead, now lying fallow, and now moving steadily on.

Ex. It would be uneconomic and foolish to persevere with human assignment of controlled-language terms.

Ex. Nevertheless, it cannot yet be said that all cataloguing is conducted with the use of a computer, and even some major library systems persist with manual cataloguing practices.

Ex. If the width of the report exceeds the line width of your printer, the information will wrap to the next line.

Ex. This article presents ideas which will help the librarian to keep going in the face of budget cuts.

Ex. Before we proceed to look at the operators in detail, a couple of examples may help to make the layout clearer.

Ex. I think we'd better push on to the next topic.

Ex. Hoping the gentler tone and the more relaxed manner meant that her anger was abating, the young man pressed on less apprehensively.

Ex. 'Well,' recommenced the young librarian, buoyed up by the director's interest, 'I believe that everybody is a good employee until they prove differently to me'.

Ex. An initiative for environmental education which will run over the next few years focuses on Victoria region by region.

Ex. This article argues the need to move forward with the infotech culture without abandoning the service culture.

Ex. In libraries, this life cycle may be interrupted because of staff reluctance to part with traditional services, and products may hang on long past the point of real effectiveness.

Ex. In order to carry forward the Chinese cultural heritage it is necessary to research the ancient books.

Ex. If a child detects that no very strong value is placed on reading then he feels no compulsion to develop his own reading skill beyond the minimal, functional level we all need simply to carry on our daily lives in our print-dominated society.

Ex. A plan for the construction and implementation phases will be drawn up, if it is decided to go ahead = Si se decide continuar, se elaborará un plan para las fases de construcción y puesta en práctica.

Ex. Any changes will produce a readjustment of text which will carry through to the end of the text.

Ex. Russell soldiered on in 'Principles of Mathematics', he pleaded a distinction between analysis by way of philosophical definitions and analysis by way of mathematical definitions.

Ex. He was told to ' keep up whatever it is he was doing' because he was doing great!.

Ex. But to make matters worse, and as the drought rolls on, it is very likely that it won't rain again until October or November.

Ex. I had intended to walk him to his classroom, but before I could follow him through the double doors, he said, 'I can take it from here, Papa'.

----

* batalla + continuar = battle + rage.

* continuando con la línea de = in the vein of.

* continuar al lado de = stand by.

* continuar así = keep + it up, keep up + the good work, keep up + the great work.

* continuar a trancas y barrancas = bash on.

* continuar avanzando = press on.

* continuar como antes = go on + as before.

* continuar con = go ahead with, proceed to, pursue, pursue + Nombre + further, stick to, build on/upon, go on with, maintain + continuity, maintain + momentum, stick with, stick at.

* continuar con Algo = take + Nombre + further.

* continuar con el buen hacer = keep up + the good work, keep up + the great work.

* continuar con la lectura de = carry on through.

* continuar con + Nombre + en = carry + Nombre + forward into.

* continuar diciendo = go on.

* continuar en = overflow on.

* continuar en esta dirección = proceed + along this way.

* continuar enviando + Nombre = keep + Nombre + coming.

* continuar + Gerundio = go on + Gerundio, keep + Gerundio, keep on + Gerundio.

* continuar haciendo Algo = get on with + Nombre.

* continuar implacablemente = march on.

* continuar inexorablemente = march on.

* continuar irreconciliable con = remain + unreconciled to.

* continuar la labor de otros = stand on + the shoulders of giants, stand on + the shoulders of giants, stand on + the shoulders of giants.

* continuar leyendo = read on.

* continuar opuesto a = remain + unreconciled to.

* continuar + Posesivo camino = continue on + Posesivo + way.

* continuar realizando una actividad = keep + going.

* continuar siendo = remain.

* continuar siendo importante = remain + big.

* continuar sin agraciarse con = remain + unreconciled to.

* continuar sin detenerse = go straight ahead.

* continuar sin reconciliarse son = remain + unreconciled to.

* continuar tratando = pursue + Nombre + further.

* continuar viviendo = live on.

* continuar vivo = live on.

* disputa + continuar = dispute + rage.

* estar decidido a continuar = be set to continue.

* la vida continúa = the show must go on.

* la vida + continuar = life + go on.

* polémica + continuar = controversy + rage, argument + rage.

* todo continúa como antes = life goes on as before.

* * *
1.
verbo transitivo to continue

continuemos la marcha — let's go on o carry on
2.
continuar vi

a) guerra/espectáculo/vida to continue

si las cosas continúan así — if things go on o continue like this

continuará — to be continued

la película continúa en cartelera — the movie is still showing

continuar con algo — to continue with something

continuar + ger: su estado continúa siendo delicado he is still in a weak condition; continúa negándose a declarar she is still refusing to make a statement; continuó diciendo que... — she went on to say that...

b) carretera to continue
3.
continuarse v pron (frml) to continue

el camino se continúa en un sendero — the road continues as a path

su obra se continuó en sus discípulos — his work was continued by his disciples

* * *

= continue, go on, linger on, move on, persevere, persist, wrap, keep + going, proceed, push on, press on, recommence, run over, move forward, hang on, carry forward, carry on, go ahead, carry through, soldier on, keep up, roll on, take it from here.

Ex: Thus our catalogs will continue to fail our readers until reconstructed on the basis of the AACR, which has remedied the situation by providing for the consistent use of uniform titles wherever required.

Ex: Several members of the group raised polite brows and implored him to go on.

Ex: The song may be forgotten but among library users the sentiment lingers on.

Ex: Rather readers grow by fits and starts now rushing ahead, now lying fallow, and now moving steadily on.

Ex: It would be uneconomic and foolish to persevere with human assignment of controlled-language terms.

Ex: Nevertheless, it cannot yet be said that all cataloguing is conducted with the use of a computer, and even some major library systems persist with manual cataloguing practices.

Ex: If the width of the report exceeds the line width of your printer, the information will wrap to the next line.

Ex: This article presents ideas which will help the librarian to keep going in the face of budget cuts.

Ex: Before we proceed to look at the operators in detail, a couple of examples may help to make the layout clearer.

Ex: I think we'd better push on to the next topic.

Ex: Hoping the gentler tone and the more relaxed manner meant that her anger was abating, the young man pressed on less apprehensively.

Ex: 'Well,' recommenced the young librarian, buoyed up by the director's interest, 'I believe that everybody is a good employee until they prove differently to me'.

Ex: An initiative for environmental education which will run over the next few years focuses on Victoria region by region.

Ex: This article argues the need to move forward with the infotech culture without abandoning the service culture.

Ex: In libraries, this life cycle may be interrupted because of staff reluctance to part with traditional services, and products may hang on long past the point of real effectiveness.

Ex: In order to carry forward the Chinese cultural heritage it is necessary to research the ancient books.

Ex: If a child detects that no very strong value is placed on reading then he feels no compulsion to develop his own reading skill beyond the minimal, functional level we all need simply to carry on our daily lives in our print-dominated society.

Ex: A plan for the construction and implementation phases will be drawn up, if it is decided to go ahead = Si se decide continuar, se elaborará un plan para las fases de construcción y puesta en práctica.

Ex: Any changes will produce a readjustment of text which will carry through to the end of the text.

Ex: Russell soldiered on in 'Principles of Mathematics', he pleaded a distinction between analysis by way of philosophical definitions and analysis by way of mathematical definitions.

Ex: He was told to ' keep up whatever it is he was doing' because he was doing great!.

Ex: But to make matters worse, and as the drought rolls on, it is very likely that it won't rain again until October or November.

Ex: I had intended to walk him to his classroom, but before I could follow him through the double doors, he said, 'I can take it from here, Papa'.

* batalla + continuar = battle + rage.

* continuando con la línea de = in the vein of.

* continuar al lado de = stand by.

* continuar así = keep + it up, keep up + the good work, keep up + the great work.

* continuar a trancas y barrancas = bash on.

* continuar avanzando = press on.

* continuar como antes = go on + as before.

* continuar con = go ahead with, proceed to, pursue, pursue + Nombre + further, stick to, build on/upon, go on with, maintain + continuity, maintain + momentum, stick with, stick at.

* continuar con Algo = take + Nombre + further.

* continuar con el buen hacer = keep up + the good work, keep up + the great work.

* continuar con la lectura de = carry on through.

* continuar con + Nombre + en = carry + Nombre + forward into.

* continuar diciendo = go on.

* continuar en = overflow on.

* continuar en esta dirección = proceed + along this way.

* continuar enviando + Nombre = keep + Nombre + coming.

* continuar + Gerundio = go on + Gerundio, keep + Gerundio, keep on + Gerundio.

* continuar haciendo Algo = get on with + Nombre.

* continuar implacablemente = march on.

* continuar inexorablemente = march on.

* continuar irreconciliable con = remain + unreconciled to.

* continuar la labor de otros = stand on + the shoulders of giants, stand on + the shoulders of giants, stand on + the shoulders of giants.

* continuar leyendo = read on.

* continuar opuesto a = remain + unreconciled to.

* continuar + Posesivo camino = continue on + Posesivo + way.

* continuar realizando una actividad = keep + going.

* continuar siendo = remain.

* continuar siendo importante = remain + big.

* continuar sin agraciarse con = remain + unreconciled to.

* continuar sin detenerse = go straight ahead.

* continuar sin reconciliarse son = remain + unreconciled to.

* continuar tratando = pursue + Nombre + further.

* continuar viviendo = live on.

* continuar vivo = live on.

* disputa + continuar = dispute + rage.

* estar decidido a continuar = be set to continue.

* la vida continúa = the show must go on.

* la vida + continuar = life + go on.

* polémica + continuar = controversy + rage, argument + rage.

* todo continúa como antes = life goes on as before.

* * *

continuar [ A18 ]

vt

to continue

va a continuar sus estudios en el extranjero she's going to continue her studies abroad

continuó su vida como si nada hubiera pasado he went on with o continued with his life as if nothing had happened

sus discípulos continuaron su obra her disciples carried on o continued her work

continuemos la marcha let's go on o carry on

—y eso sería un desastre —continuó and that would be catastrophic, he went on o continued

■ continuar

vi

1 «guerra/espectáculo/vida» to continue

si las cosas continúan así if things go on o continue like this

[ S ] continuará to be continued

la película continúa en cartelera the movie is still showing

continúe la defensa (counsel for) the defense may continue

continuar CON algo to continue WITH sth

no pudieron continuar con el trabajo they couldn't continue (with) o go on with the work

continuar + GER:

su estado continúa siendo delicado he is still in a weak condition

continúa negándose a declarar she is still refusing to make a statement

si continúas comportándote así if you continue to behave o go on behaving like this

continuó diciendo que … she went on to say that …, she continued by saying that …

2 «carretera» to continue

la carretera continúa hasta la parte alta de la montaña the road continues (on) to the top of the mountain, the road goes on up to the top of the mountain

■ continuarse

v pron

( frml); to continue

el camino se continúa en un angosto sendero the road continues as a narrow path

su obra se continuó en la labor de sus discípulos his work was continued in the labor of his disciples

* * *

continuar ( conjugate continuar) verbo transitivo
to continue
verbo intransitivo [guerra/espectáculo/vida] to continue;
◊ si las cosas continúan así if things go on o continue like this;

( on signs) continuará to be continued;
◊ la película continúa en cartelera the movie is still showing;

continuar con algo to continue with sth;
continuó diciendo que … she went on to say that …
continuar verbo transitivo & verbo intransitivo
1 to continue, carry on (with)
2 (seguir en un lugar) continúa viviendo en Brasil, he's still living in Brazil
3 (seguir sucediendo) continúa lloviendo, it is still raining
(una película) continuará, to be continued ➣ Ver nota en continue

' continuar' also found in these entries:
Spanish:
incapaz
- perdurar
- seguir
English:
carry on
- continue
- go ahead
- go on
- keep
- keep on
- keep up
- remain
- resume
- carry
- go
- hold
- move
- proceed
- pursue
- take
- wear

* * *

continuar

♦ vt

to continue, to carry on with;

los peregrinos continuaron su camino the pilgrims went o continued on their way;

continuarán el partido suspendido mañana the abandoned match will be continued tomorrow

♦ vi

to continue, to go on;

continuar haciendo algo to continue doing o to do sth;

continúa lloviendo it's still raining;

¿continúas viviendo en Brasil? are you still living in Brazil?, do you still live in Brazil?;

continuamos trabajando en el mismo proyecto we are still working on the same project;

continúan con el proyecto they are carrying on with o continuing with the project;

todavía continúa en la empresa she's still with o working for the company;

continúen en sus puestos hasta nueva orden stay at your posts until you receive fresh orders;

continuará [historia, programa] to be continued;

la finca continúa hasta el río the farm extends as far as the river;

el camino continúa por la costa the road continues o carries on along the coast

♦ See also the pronominal verb continuarse

* * *

continuar

I v/t continue

II v/i continue;

continuará to be continued;

continuar haciendo algo continue o carry on doing sth;

continuó nevando it kept on snowing

* * *

continuar {3} v

: to continue

* * *

continuar vb

1. to continue / to carry on [pt. & pp. carried]

continuaremos el debate después de comer we'll continue the discussion after lunch / we'll carry on with the discussion after lunch

continuó escribiendo hasta su muerte she carried on writing until she died

2. (estar todavía) to be still

el buen tiempo continúa the weather is still fine

mira a ver si continúa allí look and see is he's still there

Spanish-English dictionary > continuar
19 electroquímica

adj.&f.

feminine of ELECTROQUÍMICO.

f.

electrochemistry, electrochemy.

* * *

electroquímica

► nombre femenino

1 electrochemistry

* * *

= electrochemistry.

Ex. Some of the confusion encountered in electrochemistry due to misunderstandings of sign conventions and simple mathematical errors.

* * *

= electrochemistry.

Ex: Some of the confusion encountered in electrochemistry due to misunderstandings of sign conventions and simple mathematical errors.

* * *

electroquímica

feminine

electrochemistry

* * *

electroquímica nf

electrochemistry

Spanish-English dictionary > electroquímica
20 nomenclatura química

(n.) = chemical nomenclature

Ex. Guidelines can be expected to discuss some or all of the following: list of standard abbreviations, including those of journal titles and standard forms of quoting chemical nomenclature and mathematical expressions.

* * *

(n.) = chemical nomenclature

Ex: Guidelines can be expected to discuss some or all of the following: list of standard abbreviations, including those of journal titles and standard forms of quoting chemical nomenclature and mathematical expressions.

Spanish-English dictionary > nomenclatura química

Страницы

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Словари и энциклопедии на Академике

Перевод: со всех языков на английский

Some mathematical

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Словари и энциклопедии на Академике

Перевод: со всех языков на английский

Some mathematical

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