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1 first-order
первопорядковый first-order phase transition ≈ физ. переход фазовый первого рода - first-order accuracy - first-order derivative - first-order design - first-order difference - first-order equation - first-order estimation - first-order filter - first-order hierarchy - first-order infinitesimal - first-order interaction - first-order jackknife - first-order language - first-order logic - first-order model - first-order oblateness - first-order predicate - first-order reaction - first-order sentence - first-order smoothing - first-order theor первого порядкаБольшой англо-русский и русско-английский словарь > first-order
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2 Logic
My initial step... was to attempt to reduce the concept of ordering in a sequence to that of logical consequence, so as to proceed from there to the concept of number. To prevent anything intuitive from penetrating here unnoticed, I had to bend every effort to keep the chain of inference free of gaps. In attempting to comply with this requirement in the strictest possible way, I found the inadequacy of language to be an obstacle. (Frege, 1972, p. 104)I believe I can make the relation of my 'conceptual notation' to ordinary language clearest if I compare it to the relation of the microscope to the eye. The latter, because of the range of its applicability and because of the ease with which it can adapt itself to the most varied circumstances, has a great superiority over the microscope. Of course, viewed as an optical instrument it reveals many imperfections, which usually remain unnoticed only because of its intimate connection with mental life. But as soon as scientific purposes place strong requirements upon sharpness of resolution, the eye proves to be inadequate.... Similarly, this 'conceptual notation' is devised for particular scientific purposes; and therefore one may not condemn it because it is useless for other purposes. (Frege, 1972, pp. 104-105)To sum up briefly, it is the business of the logician to conduct an unceasing struggle against psychology and those parts of language and grammar which fail to give untrammeled expression to what is logical. He does not have to answer the question: How does thinking normally take place in human beings? What course does it naturally follow in the human mind? What is natural to one person may well be unnatural to another. (Frege, 1979, pp. 6-7)We are very dependent on external aids in our thinking, and there is no doubt that the language of everyday life-so far, at least, as a certain area of discourse is concerned-had first to be replaced by a more sophisticated instrument, before certain distinctions could be noticed. But so far the academic world has, for the most part, disdained to master this instrument. (Frege, 1979, pp. 6-7)There is no reproach the logician need fear less than the reproach that his way of formulating things is unnatural.... If we were to heed those who object that logic is unnatural, we would run the risk of becoming embroiled in interminable disputes about what is natural, disputes which are quite incapable of being resolved within the province of logic. (Frege, 1979, p. 128)[L]inguists will be forced, internally as it were, to come to grips with the results of modern logic. Indeed, this is apparently already happening to some extent. By "logic" is not meant here recursive function-theory, California model-theory, constructive proof-theory, or even axiomatic settheory. Such areas may or may not be useful for linguistics. Rather under "logic" are included our good old friends, the homely locutions "and," "or," "if-then," "if and only if," "not," "for all x," "for some x," and "is identical with," plus the calculus of individuals, event-logic, syntax, denotational semantics, and... various parts of pragmatics.... It is to these that the linguist can most profitably turn for help. These are his tools. And they are "clean tools," to borrow a phrase of the late J. L. Austin in another context, in fact, the only really clean ones we have, so that we might as well use them as much as we can. But they constitute only what may be called "baby logic." Baby logic is to the linguist what "baby mathematics" (in the phrase of Murray Gell-Mann) is to the theoretical physicist-very elementary but indispensable domains of theory in both cases. (Martin, 1969, pp. 261-262)There appears to be no branch of deductive inference that requires us to assume the existence of a mental logic in order to do justice to the psychological phenomena. To be logical, an individual requires, not formal rules of inference, but a tacit knowledge of the fundamental semantic principle governing any inference; a deduction is valid provided that there is no way of interpreting the premises correctly that is inconsistent with the conclusion. Logic provides a systematic method for searching for such counter-examples. The empirical evidence suggests that ordinary individuals possess no such methods. (Johnson-Laird, quoted in Mehler, Walker & Garrett, 1982, p. 130)The fundamental paradox of logic [that "there is no class (as a totality) of those classes which, each taken as a totality, do not belong to themselves" (Russell to Frege, 16 June 1902, in van Heijenoort, 1967, p. 125)] is with us still, bequeathed by Russell-by way of philosophy, mathematics, and even computer science-to the whole of twentieth-century thought. Twentieth-century philosophy would begin not with a foundation for logic, as Russell had hoped in 1900, but with the discovery in 1901 that no such foundation can be laid. (Everdell, 1997, p. 184)Historical dictionary of quotations in cognitive science > Logic
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3 language
1) языка) естественный язык, средство человеческого общенияб) система знаков, жестов или сигналов для передачи или хранения информациив) стильг) речь2) языкознание, лингвистика•- actor language
- agent communication language
- a-hardware programming language - application-oriented language
- applicative language
- a-programming language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language - business-oriented programming language
- categorical language - configuration language
- constraint language
- combined programming language
- command language
- common language
- common business-oriented language
- compiled language
- compiler language
- computer language
- computer-dependent language - computer-oriented language
- computer-sensitive language
- concurrent language - context- sensitive language
- conversational language
- coordinate language
- database language
- database query language - data structure language
- digital system design language
- declarative language
- declarative markup language
- definitional language
- definitional constraint language
- design language
- device media control language - dynamically scoped language - elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible language - formalized language - functional language
- functional programming language - graph-oriented language - high-order language
- host language - hypersymbol language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language - interpreted language - Java programming language - lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language - meta language
- mnemonic language
- musical language - native-mode language
- natural language - nonprocedural language
- object language
- object-oriented language - physical language
- picture query language
- portable language
- portable standard language
- polymorphic language - print control language
- problem-oriented language
- problem statement language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robot-level language
- robotic control language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language - sign language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification language - stratified language
- stream language
- string-handling language - strongly-typed language - symbolic language - thing language - tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language - well-structured programming language -
4 language
1) языка) естественный язык, средство человеческого общенияб) система знаков, жестов или сигналов для передачи или хранения информациив) стильг) речь2) языкознание, лингвистика•- a programming language
- abstract machine language
- actor language
- agent communication language
- algebraic logic functional language
- algorithmic language
- amorhic language
- application-oriented language
- applicative language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language
- axiomatic architecture description language
- basic combined programming language
- block-structured language
- boundary scan description language
- business-oriented language
- business-oriented programming language
- categorical abstract machine language
- categorical language
- cellular language
- combined programming language
- command language
- common business-oriented language
- common language
- compiled language
- compiler language
- computer hardware description language
- computer language
- computer-dependent language
- computer-independent language
- computer-oriented language
- computer-sensitive language
- concurrent language
- configuration language
- constraint language
- context-free language
- context-sensitive language
- conversational language
- coordinate language
- data definition language
- data description language
- data manipulation language
- data structure language
- database language
- database query language
- declarative language
- declarative markup language
- definitional constraint language
- definitional language
- design language
- device media control language
- digital system design language
- document style semantics and specification language
- domain-specific language
- dynamic hypertext markup language
- dynamic simulation language
- dynamically scoped language
- elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible hypertext markup language
- extensible language
- extensible markup language
- fabricated language
- fifth-generation language
- first-generation language
- formal language
- formalized language
- fourth-generation language
- frame language
- function graph language
- functional language
- functional programming language
- geometrical layout description language
- graphics language
- graph-oriented language
- hardware description language
- Hewlett-Packard graphics language
- Hewlett-Packard printer control language
- high-level language
- high-order language
- host language
- hypersymbol language
- hypertext markup language plus
- hypertext markup language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language
- interactive set language
- intermediate language
- interpreted language
- Java interface definition language
- Java language
- Java programming language
- job control language
- Jules' own version of the international algorithmic language
- knowledge query and manipulation language
- left-associative language
- lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language
- man-machine language
- mathematical markup language
- matrix-based programming language
- meta language
- mnemonic language
- musical language
- my favorite toy language
- native language
- native-mode language
- natural language
- network control language
- network description language
- noninteractive language
- nonprocedural language
- object language
- object-oriented language
- page description language
- parallel object-oriented language
- partial differential equation language
- pattern-matching language
- physical language
- picture query language
- polymorphic language
- portable language
- portable standard language
- practical extraction and report language
- prescriptive language
- print control language
- problem statement language
- problem-oriented language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robotic control language
- robot-level language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language
- second-generation language
- sense language
- server-parsed hypertext markup language
- set language
- sign language
- simulation language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification and assertion language
- specification language
- stack-based language
- standard generalized markup language
- statically scoped language
- stratified language
- stream language
- string-handling language
- string-oriented symbolic language
- string-processing language
- strongly-typed language
- structural design language
- structured query language
- subset language
- symbolic language
- symbolic layout description language
- synchronized multimedia integration language
- target language
- thing language
- third-generation language
- threaded language
- tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language
- very-high-speed integrated circuit hardware description language
- Vienna definition language
- virtual reality modeling language
- visual language
- well-structured programming language
- wireless markup languageThe New English-Russian Dictionary of Radio-electronics > language
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5 FOLL
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6 Foll-Prolog
first-order logic language Prolog — язык логического проектирования первого порядка, язык ФОЛЛ-прологАнгло-русский словарь промышленной и научной лексики > Foll-Prolog
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7 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust 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 ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)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 IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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8 Bibliography
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Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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9 término
m.1 term, word, definition, expression.2 end, completion, termination, tag end.3 fixed period of time, term.4 end of the line, end of the road.5 terminus.* * *1 (fin) end, finish2 (estación) terminus, terminal4 (plazo) term, time, period5 (palabra) term, word6 (estado) condition, state7 (lugar, posición) place8 (en matemáticas, gramática) term1 (condiciones) conditions, terms\dar término a algo to conclude somethingen otros términos in other wordsen términos de in terms ofen términos generales generally speakingen último término figurado as a last resortinvertir los términos to get it the wrong way roundllevar algo a buen término to carry something through successfullyponer término a algo to put an end to somethingpor término medio on averageprimer término ARTE foregroundtérmino mayor/medio/menor major/middle/minor termtérmino medio middle ground, area of compromisetérmino municipal districttérminos de un contrato DERECHO terms of a contract* * *noun m.1) term2) end* * *SM1) (=fin) end, conclusion frm•
al término del partido/del debate — at the end o frm conclusion of the match/of the debatedio término a la obra que su antecesor dejó sin concluir — he completed the work that his predecessor had left unfinished
•
llegar a término — [negociación, proyecto] to be completed, come to a conclusion; [embarazo] to go to (full) term•
llevar algo a término — to bring sth to a conclusionllevar algo a buen o feliz término — to bring sth to a successful conclusion
llevar a término un embarazo — to go to (full) term, carry a pregnancy to full term
•
poner término a algo — to put an end to sth2) (=lugar)en primer término podemos contemplar la torre — in the foreground, we can see the tower
de ahí se deduce, en primer término, que... — thus we may deduce, firstly, that...
•
segundo término — middle distancecon la recesión el problema pasó a un segundo término — with the recession the problem took second place
la decisión, en último término, es suya — ultimately, the decision is his
la causa fue, en último término, la crisis económica de los 70 — the cause was, in the final o last analysis, the economic crisis of the 70s
en último término puedes dormir en el sofá — if the worst comes to the worst, you can always sleep on the sofa
término medio — (=punto medio) happy medium; (=solución intermedia) compromise, middle way
ni mucho ni poco, queremos un término medio — neither too much nor too little, we want a happy medium
como o por término medio — on average
3) (Ling) (=palabra, expresión) termera una revolucionaria, en el buen sentido del término — she was a revolutionary in the good sense of the word
4) pl términosa) (=palabras) termshan perdido unos 10.000 millones de dólares en términos de productividad — they have lost some 10,000 million dollars in terms of productivity
•
en términos generales — in general terms, generally speaking•
(dicho) en otros términos,... — in other words...b) (=condiciones) [de contrato, acuerdo, tregua] terms•
estar en buenos términos con algn — to be on good terms with sb5) (Mat, Fil) [de fracción, ecuación] term6) (=límite) [de terreno] boundary, limit; (=en carretera) boundary stonetérmino municipal — municipal district, municipal area
7) (=plazo) period, term frmen el término de diez días — within a period o frm term of ten days
-¿qué término quiere la carne? -término medio, por favor — "how would you like the meat?" - "medium, please"
9) (Ferro) terminus* * *1) (frml) ( final) end, conclusion (frml)2) ( plazo) perioda término fijo — (Col) <contrato/inversión> fixed-term (before n)
en el término de la distancia — (Col fam) in the time it takes me/him to get there
3) (posición, instancia)en primer término — first o first of all
4) (Ling) term5) (Fil, Mat) terminvertir los términos — (Mat) to invert the terms
invirtió los términos de manera que... — he twisted the facts in such a way that...
6) términos masculino plural (condiciones, especificaciones) terms (pl)estar en buenos/malos términos con alguien — to be on good/bad terms with somebody
7) (Col, Méx, Ven) (Coc)¿qué término quiere la carne? — how would you like your meat (done)?
* * *= term, rubric, output stage, end point [endpoint].Ex. Many other terms are used to denote a regurgitation or abbreviation of document content.Ex. And, as another instance, it's not fair to employ rubrics for ethnic groups that are not their own, preferred names.Ex. To rephrase this in terms already used, they involve effort at the input stage in order to reduce effort at the output stage = Expresando esto con términos ya usados, suponen un esfuerzo en la etapa inicial con objeto de reducir el esfuerzo en la etapa final.Ex. The process reaches its end point when information is gathered, indexed and compiled into a useful format for public and library staff use.----* aceptar los términos de un acuerdo = enter into + agreement.* acuñar un término = coin + term.* agrupar los términos sinónimos = merge + synonyms.* análisis de coocurrencia de términos = co-word analysis.* búsqueda por términos ponderados = weighted term search.* como término medio = on average.* coocurrencia de términos = co-word [coword].* encontrar un término medio entre... y = tread + a middle path between... and.* en otros términos = in other words.* en términos absolutos = in absolute terms.* en términos actuales = in today's terms.* en términos claros = in simple terms.* en términos de = in terms of.* en términos generales = in broad terms, generally speaking.* en términos reales = in real terms, in actual practice.* en términos relativos = in relative terms.* en último término = in the last analysis, in the final analysis.* expresar en términos = couch + in terms.* ficha de término = term card.* fichero de registro por término = term record file.* hablando en términos generales = loosely speaking.* hablando en términos muy generales = crudely put.* incluir en la búsqueda los términos relacionados = explode.* índice de registro por término = term record index.* índice de términos permutados = Permuterm index.* intentar encontrar un término medio entre... y... = tread + a delicate line between... and.* llevar a buen término = bring to + a close.* lógica de términos ponderados = weighted term logic.* método de la coocurrencia de términos = co-word method.* mostrar los términos relacionados = expand.* negociar los términos de un contrato = negotiate + terms.* orden de ampliar la búsqueda a los términos relaci = explode command.* orden de mostrar los términos relacionados = expand command.* ponderación de los términos de la ecuación de búsqueda = query term weighting.* ponderación de términos = term weight, term weighting.* poner término a = put + paid to.* por término medio = on average.* presentación gráfica de términos permutados = permuted display.* que no se puede identificar con un término = unnameable.* que se puede identificar con un término = nameable.* referencias laterales a términos de igual especificidad = sideways link.* resolución de la ambigüedad entre términos = term disambiguation, word sense disambiguation.* seguro de vida a término = term life insurance.* selección de términos = extraction of terms, term selection.* tener por término medio = average.* término admitido = preferred term.* término al que se envía = target term.* término asociado = related term.* Término Asociado (TA) = AT (Associated Term).* término buscado = sought term.* término colectivo = collective term.* término compuesto = multi-word term.* término compuesto de conceptos múltiples = multiple-concept term.* término coordinado (TC) = CT (co-ordinate term).* término de acción = action term.* término de búsqueda = search term, search word.* término de indización = indexing term.* término de indización controlado = controlled index term, controlled indexing term.* término de la búsqueda = query term.* término del índice = index term.* término del lenguaje controlado = controlled-language term.* término del lenguaje de indización controlado = controlled index-language term.* término del lenguaje natural = natural-language term.* término del que se envía = referred-from term.* término de origen = referred-from term.* término equivalente = equivalent term.* término específico = specific term, subordinate term.* término específico genérico (NTG) = narrower term generic (NTG).* término específico partitivo (NTP) = narrower term partitive (NTP).* término general = superordinate term.* término genérico (TG) = GT (generic term).* término global = umbrella, umbrella term.* término impreciso = fuzzy term.* término inicial = lead-in term, leading term.* termino inicial de un encabezamiento compuesto = lead term, main heading.* término invertido = inverted term.* término más específico = narrower term.* término más general = broader term, wider term.* término más genérico = broader term.* término medio = compromise, happy medium, balance.* término no admitido = non-preferred term, unused term.* término no buscado = unsought term.* término oculto = hidden term.* término partitivo = partitive term.* término ponderado = weighted term.* término principal = main term.* término que representa un único concepto = one concept term.* término que solapa a otro en el significado (TX) = XT (overlapping term).* término referenciado = target term.* términos = wording.* términos controlados = controlled terms.* términos de un contrato = contract stipulations.* término secundario = qualifying term.* término sinónimo = ST, synonymous term.* término sin ponderar = unweighted term.* término superior = top term, TT.* términos y condiciones = terms and conditions.* términos y condiciones de la licencia = licence terms and conditions, licence terms.* tomar por término medio = average.* TR (término relacionado) = RT (related term).* * *1) (frml) ( final) end, conclusion (frml)2) ( plazo) perioda término fijo — (Col) <contrato/inversión> fixed-term (before n)
en el término de la distancia — (Col fam) in the time it takes me/him to get there
3) (posición, instancia)en primer término — first o first of all
4) (Ling) term5) (Fil, Mat) terminvertir los términos — (Mat) to invert the terms
invirtió los términos de manera que... — he twisted the facts in such a way that...
6) términos masculino plural (condiciones, especificaciones) terms (pl)estar en buenos/malos términos con alguien — to be on good/bad terms with somebody
7) (Col, Méx, Ven) (Coc)¿qué término quiere la carne? — how would you like your meat (done)?
* * *= term, rubric, output stage, end point [endpoint].Ex: Many other terms are used to denote a regurgitation or abbreviation of document content.
Ex: And, as another instance, it's not fair to employ rubrics for ethnic groups that are not their own, preferred names.Ex: To rephrase this in terms already used, they involve effort at the input stage in order to reduce effort at the output stage = Expresando esto con términos ya usados, suponen un esfuerzo en la etapa inicial con objeto de reducir el esfuerzo en la etapa final.Ex: The process reaches its end point when information is gathered, indexed and compiled into a useful format for public and library staff use.* aceptar los términos de un acuerdo = enter into + agreement.* acuñar un término = coin + term.* agrupar los términos sinónimos = merge + synonyms.* análisis de coocurrencia de términos = co-word analysis.* búsqueda por términos ponderados = weighted term search.* como término medio = on average.* coocurrencia de términos = co-word [coword].* encontrar un término medio entre... y = tread + a middle path between... and.* en otros términos = in other words.* en términos absolutos = in absolute terms.* en términos actuales = in today's terms.* en términos claros = in simple terms.* en términos de = in terms of.* en términos generales = in broad terms, generally speaking.* en términos reales = in real terms, in actual practice.* en términos relativos = in relative terms.* en último término = in the last analysis, in the final analysis.* expresar en términos = couch + in terms.* ficha de término = term card.* fichero de registro por término = term record file.* hablando en términos generales = loosely speaking.* hablando en términos muy generales = crudely put.* incluir en la búsqueda los términos relacionados = explode.* índice de registro por término = term record index.* índice de términos permutados = Permuterm index.* intentar encontrar un término medio entre... y... = tread + a delicate line between... and.* llevar a buen término = bring to + a close.* lógica de términos ponderados = weighted term logic.* método de la coocurrencia de términos = co-word method.* mostrar los términos relacionados = expand.* negociar los términos de un contrato = negotiate + terms.* orden de ampliar la búsqueda a los términos relaci = explode command.* orden de mostrar los términos relacionados = expand command.* ponderación de los términos de la ecuación de búsqueda = query term weighting.* ponderación de términos = term weight, term weighting.* poner término a = put + paid to.* por término medio = on average.* presentación gráfica de términos permutados = permuted display.* que no se puede identificar con un término = unnameable.* que se puede identificar con un término = nameable.* referencias laterales a términos de igual especificidad = sideways link.* resolución de la ambigüedad entre términos = term disambiguation, word sense disambiguation.* seguro de vida a término = term life insurance.* selección de términos = extraction of terms, term selection.* tener por término medio = average.* término admitido = preferred term.* término al que se envía = target term.* término asociado = related term.* Término Asociado (TA) = AT (Associated Term).* término buscado = sought term.* término colectivo = collective term.* término compuesto = multi-word term.* término compuesto de conceptos múltiples = multiple-concept term.* término coordinado (TC) = CT (co-ordinate term).* término de acción = action term.* término de búsqueda = search term, search word.* término de indización = indexing term.* término de indización controlado = controlled index term, controlled indexing term.* término de la búsqueda = query term.* término del índice = index term.* término del lenguaje controlado = controlled-language term.* término del lenguaje de indización controlado = controlled index-language term.* término del lenguaje natural = natural-language term.* término del que se envía = referred-from term.* término de origen = referred-from term.* término equivalente = equivalent term.* término específico = specific term, subordinate term.* término específico genérico (NTG) = narrower term generic (NTG).* término específico partitivo (NTP) = narrower term partitive (NTP).* término general = superordinate term.* término genérico (TG) = GT (generic term).* término global = umbrella, umbrella term.* término impreciso = fuzzy term.* término inicial = lead-in term, leading term.* termino inicial de un encabezamiento compuesto = lead term, main heading.* término invertido = inverted term.* término más específico = narrower term.* término más general = broader term, wider term.* término más genérico = broader term.* término medio = compromise, happy medium, balance.* término no admitido = non-preferred term, unused term.* término no buscado = unsought term.* término oculto = hidden term.* término partitivo = partitive term.* término ponderado = weighted term.* término principal = main term.* término que representa un único concepto = one concept term.* término que solapa a otro en el significado (TX) = XT (overlapping term).* término referenciado = target term.* términos = wording.* términos controlados = controlled terms.* términos de un contrato = contract stipulations.* término secundario = qualifying term.* término sinónimo = ST, synonymous term.* término sin ponderar = unweighted term.* término superior = top term, TT.* términos y condiciones = terms and conditions.* términos y condiciones de la licencia = licence terms and conditions, licence terms.* tomar por término medio = average.* TR (término relacionado) = RT (related term).* * *al término de la reunión at the end o conclusion of the meetingllevar a buen término las negociaciones to bring the negotiations to a successful conclusiondio or pulso término a sus vacaciones he ended his vacationB (plazo) perioden el término de una semana within a weekC(posición, instancia): fue relegado a un segundo término he was relegated to second placeen último término as a last resorten primer término first o first of allCompuestos:happy mediumpara él no hay términos medios there's no happy medium o no in-between with himpor or como término medio on average( Esp) municipal areaen el término municipal de Alcobendas within the Alcobendas municipal area o ( AmE) city limitsD ( Ling) termglosario de términos científicos glossary of scientific termsse expresó en términos elogiosos she spoke in highly favorable termssoluciones eficientes en términos de costos y mantenimiento efficient solutions in terms of costs and maintenanceen términos generales no está mal generally speaking, it's not baden términos reales in real termsinvertir los términos ( Mat) to invert the termsinvirtió los términos de manera que yo parecía el culpable he twisted the facts in such a way that it looked as if I was to blamesegún los términos de este acuerdo according to the terms of this agreementestar en buenos/malos términos con algn to be on good/bad terms with sbnuestra relación sigue en buenos términos our relationship remains on a good footing o we are still on good termsG(Col, Méx) ( Coc): ¿qué término quiere la carne? how would you like your meat (done)?* * *
Del verbo terminar: ( conjugate terminar)
termino es:
1ª persona singular (yo) presente indicativo
terminó es:
3ª persona singular (él/ella/usted) pretérito indicativo
Multiple Entries:
terminar
término
terminar ( conjugate terminar) verbo transitivo ‹trabajo/estudio› to finish;
‹casa/obras› to finish, complete;
‹discusión/conflicto› to put an end to;
término la comida con un café to end the meal with a cup of coffee
verbo intransitivo
1 [ persona]
término de hacer algo to finish doing sth;
va a término mal he's going to come to a bad end;
terminó marchándose or por marcharse he ended up leaving
2
esto va a término mal this is going to turn out o end badlyb) ( rematar) término EN algo to end in sth;
c) ( llegar a):
no terminaba de gustarle she wasn't totally happy about it
3
‹con problema/abuso› to put an end to sthb) término con algn ( pelearse) to finish with sb;
( matar) to kill sb
terminarse verbo pronominal
1 [azúcar/pan] to run out;
2 [curso/reunión] to come to an end, be over
3 ( enf) ‹libro/comida› to finish, polish off
término sustantivo masculino
1 (posición, instancia):
término medio happy medium;
por término medio on average
2 (Ling) term;
3
4 (Col, Méx, Ven) (Coc):◊ ¿qué término quiere la carne? how would you like your meat (done)?
terminar
I verbo transitivo
1 (una tarea, objeto) to finish: ya terminó el jersey, she has already finished the pullover ➣ Ver nota en finish 2 (de comer, beber, gastar) to finish: te compraré otro cuando termines este frasco, I'll buy you another one when you finish this bottle
II verbo intransitivo
1 (cesar, poner fin) to finish, end: mi trabajo termina a las seis, I finish work at six o'clock
no termina de creérselo, he still can't believe it
(dejar de necesitar, utilizar) ¿has terminado con el ordenador?, have you finished with the computer?
(acabar la vida, carrera, etc) to end up: terminó amargada, she ended up being embittered
2 (eliminar, acabar) este niño terminará con mi paciencia, this boy is trying my patience
tenemos que terminar con esta situación, we have to put an end to this situation
3 (estar rematado) to end: termina en vocal, it ends with a vowel
terminaba en punta, it had a pointed end
término sustantivo masculino
1 (vocablo) term, word: respondió en términos muy corteses, he answered very politely
un término técnico, a technical term
2 (fin, extremo) end
3 (territorio) el término municipal de Arganda, Arganda municipal district
4 (plazo) contéstame en el término de una semana, give me an answer within a week
5 términos mpl (de un contrato, etc) terms
en términos generales, generally speaking 6 por término medio, on average
♦ Locuciones: figurado en último término, as a last resort
' término' also found in these entries:
Spanish:
abogada
- abogado
- distraerse
- fin
- índice
- infarto
- nariz
- radical
- tecnicismo
- terminar
- terminarse
- costa
- despectivo
- empate
- estación
- mico
- muela
English:
average
- baby
- culminate
- feud
- misnomer
- more
- on
- over
- rattle through
- Secretary of State
- term
- blow
- have
- liability
- medium
- next
- no
- note
- terminate
* * *término nm1. [fin] end;al término de la reunión se ofrecerá una rueda de prensa there will be a press conference at the conclusion of the meeting;dar término a algo [discurso, reunión, discusión] to bring sth to a close;[visita, vacaciones] to end;llegó a su término it came to an end;llevar algo a buen término to bring sth to a successful conclusion;poner término a algo [relación, amenazas] to put an end to sth;[discusión, debate] to bring sth to a closesu carrera como modelo ha quedado en un segundo término y ahora se dedica al cine her modelling career now takes second place to her acting;en último término [en cuadros, fotografías] in the background;[si es necesario] as a last resort; [en resumidas cuentas] in the final analysis3. [punto, situación] point;llegados a este término hay que tomar una decisión we have reached the point where we have to take a decisiontérmino medio [media] average; [arreglo] compromise, happy medium;por término medio on average4. [palabra] term;lo dijo, aunque no con o [m5] en esos términos that's what he said, although he didn't put it quite the same way;en términos generales generally speaking;en términos de Freud in Freud's words;los términos del acuerdo/contrato the terms of the agreement/contract6. [relaciones]estar en buenos/malos términos (con) to be on good/bad terms (with)8. [plazo] period;en el término de un mes within (the space of) a month9. [de línea férrea, de autobús] terminus10. [linde, límite] boundary* * *m1 end, conclusion;poner término a algo put an end to sth;llevar a término bring to an end2 ( palabra) term;en términos generales in general terms3:4:por término medio on average;en primer término in the foreground;en último término as a last resort5 ( periodo):en el término de in the period of, in the space of* * *término nm1) conclusión: end, conclusion2) : term, expression3) : period, term of office4)término medio : happy medium5) términos nmpl: terms, specificationslos términos del acuerdo: the terms of the agreement* * *término n1. (en general) term2. (fin) end -
10 Memory
To what extent can we lump together what goes on when you try to recall: (1) your name; (2) how you kick a football; and (3) the present location of your car keys? If we use introspective evidence as a guide, the first seems an immediate automatic response. The second may require constructive internal replay prior to our being able to produce a verbal description. The third... quite likely involves complex operational responses under the control of some general strategy system. Is any unitary search process, with a single set of characteristics and inputoutput relations, likely to cover all these cases? (Reitman, 1970, p. 485)[Semantic memory] Is a mental thesaurus, organized knowledge a person possesses about words and other verbal symbols, their meanings and referents, about relations among them, and about rules, formulas, and algorithms for the manipulation of these symbols, concepts, and relations. Semantic memory does not register perceptible properties of inputs, but rather cognitive referents of input signals. (Tulving, 1972, p. 386)The mnemonic code, far from being fixed and unchangeable, is structured and restructured along with general development. Such a restructuring of the code takes place in close dependence on the schemes of intelligence. The clearest indication of this is the observation of different types of memory organisation in accordance with the age level of a child so that a longer interval of retention without any new presentation, far from causing a deterioration of memory, may actually improve it. (Piaget & Inhelder, 1973, p. 36)4) The Logic of Some Memory Theorization Is of Dubious Worth in the History of PsychologyIf a cue was effective in memory retrieval, then one could infer it was encoded; if a cue was not effective, then it was not encoded. The logic of this theorization is "heads I win, tails you lose" and is of dubious worth in the history of psychology. We might ask how long scientists will puzzle over questions with no answers. (Solso, 1974, p. 28)We have iconic, echoic, active, working, acoustic, articulatory, primary, secondary, episodic, semantic, short-term, intermediate-term, and longterm memories, and these memories contain tags, traces, images, attributes, markers, concepts, cognitive maps, natural-language mediators, kernel sentences, relational rules, nodes, associations, propositions, higher-order memory units, and features. (Eysenck, 1977, p. 4)The problem with the memory metaphor is that storage and retrieval of traces only deals [ sic] with old, previously articulated information. Memory traces can perhaps provide a basis for dealing with the "sameness" of the present experience with previous experiences, but the memory metaphor has no mechanisms for dealing with novel information. (Bransford, McCarrell, Franks & Nitsch, 1977, p. 434)7) The Results of a Hundred Years of the Psychological Study of Memory Are Somewhat DiscouragingThe results of a hundred years of the psychological study of memory are somewhat discouraging. We have established firm empirical generalisations, but most of them are so obvious that every ten-year-old knows them anyway. We have made discoveries, but they are only marginally about memory; in many cases we don't know what to do with them, and wear them out with endless experimental variations. We have an intellectually impressive group of theories, but history offers little confidence that they will provide any meaningful insight into natural behavior. (Neisser, 1978, pp. 12-13)A schema, then is a data structure for representing the generic concepts stored in memory. There are schemata representing our knowledge about all concepts; those underlying objects, situations, events, sequences of events, actions and sequences of actions. A schema contains, as part of its specification, the network of interrelations that is believed to normally hold among the constituents of the concept in question. A schema theory embodies a prototype theory of meaning. That is, inasmuch as a schema underlying a concept stored in memory corresponds to the mean ing of that concept, meanings are encoded in terms of the typical or normal situations or events that instantiate that concept. (Rumelhart, 1980, p. 34)Memory appears to be constrained by a structure, a "syntax," perhaps at quite a low level, but it is free to be variable, deviant, even erratic at a higher level....Like the information system of language, memory can be explained in part by the abstract rules which underlie it, but only in part. The rules provide a basic competence, but they do not fully determine performance. (Campbell, 1982, pp. 228, 229)When people think about the mind, they often liken it to a physical space, with memories and ideas as objects contained within that space. Thus, we speak of ideas being in the dark corners or dim recesses of our minds, and of holding ideas in mind. Ideas may be in the front or back of our minds, or they may be difficult to grasp. With respect to the processes involved in memory, we talk about storing memories, of searching or looking for lost memories, and sometimes of finding them. An examination of common parlance, therefore, suggests that there is general adherence to what might be called the spatial metaphor. The basic assumptions of this metaphor are that memories are treated as objects stored in specific locations within the mind, and the retrieval process involves a search through the mind in order to find specific memories....However, while the spatial metaphor has shown extraordinary longevity, there have been some interesting changes over time in the precise form of analogy used. In particular, technological advances have influenced theoretical conceptualisations.... The original Greek analogies were based on wax tablets and aviaries; these were superseded by analogies involving switchboards, gramophones, tape recorders, libraries, conveyor belts, and underground maps. Most recently, the workings of human memory have been compared to computer functioning... and it has been suggested that the various memory stores found in computers have their counterparts in the human memory system. (Eysenck, 1984, pp. 79-80)Primary memory [as proposed by William James] relates to information that remains in consciousness after it has been perceived, and thus forms part of the psychological present, whereas secondary memory contains information about events that have left consciousness, and are therefore part of the psychological past. (Eysenck, 1984, p. 86)Once psychologists began to study long-term memory per se, they realized it may be divided into two main categories.... Semantic memories have to do with our general knowledge about the working of the world. We know what cars do, what stoves do, what the laws of gravity are, and so on. Episodic memories are largely events that took place at a time and place in our personal history. Remembering specific events about our own actions, about our family, and about our individual past falls into this category. With amnesia or in aging, what dims... is our personal episodic memories, save for those that are especially dear or painful to us. Our knowledge of how the world works remains pretty much intact. (Gazzaniga, 1988, p. 42)The nature of memory... provides a natural starting point for an analysis of thinking. Memory is the repository of many of the beliefs and representations that enter into thinking, and the retrievability of these representations can limit the quality of our thought. (Smith, 1990, p. 1)Historical dictionary of quotations in cognitive science > Memory
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