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1 theoretical mind
1) Общая лексика: аналитический ум2) Психология: теоретический ум -
2 theoretical mind
теоретический ум, аналитический ум -
3 theoretical mind
Англо-русский словарь по исследованиям и ноу-хау > theoretical mind
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4 theoretical
adj1) теоретичний2) ідеальний; абсолютний; гіпотетичний3) схильний до теоретизування; аналітичний* * *a1) теоретичнийtheoretical sciences — теоретичні науки (у противоп. емпіричним)
a purely theoretical definition — чисто теоретичне визначення; ідеальний; абсолютний; гіпотетичний
theoretical ceiling — aв. розрахункова стеля; спекулятивний
2) схильний до теоретизування; аналітичний -
5 theoretical
1. a теоретическийtheoretical frequency — теоретическая частота; вероятность
2. a идеальный; абсолютный; гипотетический3. a умозрительный, спекулятивный4. a склонный к теоретизированию; аналитическийСинонимический ряд:abstract (adj.) abstract; academic; closet; conceptual; conjectural; hypothetical; ideal; ideational; ideological; postulated; pure; speculative; theoretic; transcendent; transcendental; unapplied; unpracticalАнтонимический ряд:actual; applied -
6 theoretical
[θıəʹretık(ə)l] a1. 1) теоретическийtheoretical sciences - теоретические науки (в противоп. эмпирическим)
theoretical physics [chemistry] - теоретическая физика [химия]
theoretical model [approach, courses] - теоретическая модель [-ий подход, -ие курсы]
2) идеальный; абсолютный; гипотетическийtheoretical ceiling - ав. расчётный потолок
3) умозрительный, спекулятивный2. склонный к теоретизированию; аналитический -
7 theoretical
a1) теоретичнийtheoretical sciences — теоретичні науки (у противоп. емпіричним)
a purely theoretical definition — чисто теоретичне визначення; ідеальний; абсолютний; гіпотетичний
theoretical ceiling — aв. розрахункова стеля; спекулятивний
2) схильний до теоретизування; аналітичний -
8 theoretical
θɪəˈretɪkəl прил.
1) теоретический Syn: abstract
2) абстрактный, отвлеченный, спекулятивный, умозрительный;
созерцательный Syn: abstract, speculative теоретический - * sciences теоретические науки( в противоп. эмпирическим) - * physics теоретическая физика - * arithmetic теорния чисел - * model теоретическая модель - a purely * definition чисто теоретическое определение - * learning теоретические (по) знания идеальный;
абсолютный;
гипотетический - * ceiling (авиация) расчетный потолок умозрительный, спекулятивный - it's only * это всего лишь умозрительный вывод склонный к теоретизированию;
аналитический - * mind аналитический умБольшой англо-русский и русско-английский словарь > theoretical
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9 Bibliography
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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
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10 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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11 теоретический
прил. theoreticalтеоретическ|ий - theoretical;
~ие исследования theoretical research sg. ;
~ ум theoretical/speculative mind;
~ая физика theoretical physics;
~ие расчёты theoretical calculations.Большой англо-русский и русско-английский словарь > теоретический
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12 practical
adjective1) praktisch2) (inclined to action) praktisch veranlagt [Person]have a practical approach/mind — praktisch an die Dinge herangehen
3) (virtual) tatsächlich [Freiheit, Organisator]4) (feasible) möglich [Alternative]; praktikabel [Alternative, Möglichkeit]* * *['præktikəl]1) (concerned with the doing of something: practical difficulties; His knowledge is practical rather than theoretical.) tatsächlich, praktisch2) ((of a thing, idea etc) useful; effective: You must try to find a practical answer to the problem.) durchführbar3) ((negative unpractical) (of a person) able to do or deal with things well or efficiently: He can look after himself - he's a very practical child.) geschickt•- academic.ru/57272/practicality">practicality- practically
- practical joke* * *prac·ti·cal[ˈpræktɪkəl]I. adj1. (not theoretical) praktischwhat does his decision mean in \practical terms? was soll diese Entscheidung denn nun konkret bedeuten?\practical experience praktische Erfahrung, Praxiserfahrung fto offer \practical advice praktische [o realisierbare] Vorschläge anbieten\practical use/application praktischer Nutzen/praktische Anwendungfor all \practical purposes de facto, tatsächlich, in Wirklichkeitthe \practical side of things die Praxis2. (suitable) praktisch\practical clothing/equipment praktische Kleidung/Ausrüstung\practical footwear praktisches Schuhwerkshe has a lot of interesting ideas, but she's not very \practical sie hat eine Menge interessanter Ideen, kann sie aber in der Praxis nicht so richtig umsetzenwe need someone \practical who... wir brauchen einen Praktiker, der...to have a \practical attitude praxisorientiert sein4. (possible) realisierbar, praktikabel\practical method/technique [in der Praxis] anwendbare Methode/Technikit's a \practical certainty that... es ist praktisch sicher, dass...the car was a \practical write-off der Wagen sah so ziemlich nach Totalschaden ausII. n praktische Prüfungbiology/chemistry \practical praktische Biologie-/Chemieprüfung* * *['prktIkəl]adj1) praktisch; person praktisch (veranlagt)to have a practical mind —
his ideas have no practical application — seine Ideen sind nicht praxisnah or sind praktisch nicht anwendbar
2) (= handy) praktischthey are both very practical about the house — sie sind beide sehr geschickt or praktisch in allem, was in einem Haus anfällt
3)(= virtual)
it was a practical certainty — es war praktisch eine Gewissheit* * *1. praktisch, angewandt (Ggs theoretisch):practical agriculture praktische Landwirtschaft;the practical application of a rule die praktische Anwendung einer Regel;practical chemistry angewandte Chemie;practical knowledge praktisches Wissen, praktische Kenntnisse pl;2. praktisch, zweckmäßig, nützlich, brauchbar (Methode, Vorschlag etc)3. praktisch, in der Praxis tätig:a practical man ein Mann der Praxis4. praktisch:b) aufs Praktische gerichtet (Denken)5. praktisch, faktisch, tatsächlich:he is a practical atheist er ist praktisch ein Atheist;he has practical control of er hat praktisch die Kontrolle über (akk)6. sachlich7. praktisch ausgebildet (nicht staatlich geprüft):8. handgreiflich, grob:practical joke Streich m;play a practical joke on sb jemandem einen Streich spielen;practical joker Witzbold m* * *adjective1) praktisch2) (inclined to action) praktisch veranlagt [Person]have a practical approach/mind — praktisch an die Dinge herangehen
3) (virtual) tatsächlich [Freiheit, Organisator]4) (feasible) möglich [Alternative]; praktikabel [Alternative, Möglichkeit]* * *adj.brauchbar adj.erfahren adj.geeignet adj.praktisch adj. -
13 Creativity
Put in this bald way, these aims sound utopian. How utopian they areor rather, how imminent their realization-depends on how broadly or narrowly we interpret the term "creative." If we are willing to regard all human complex problem solving as creative, then-as we will point out-successful programs for problem solving mechanisms that simulate human problem solvers already exist, and a number of their general characteristics are known. If we reserve the term "creative" for activities like discovery of the special theory of relativity or the composition of Beethoven's Seventh Symphony, then no example of a creative mechanism exists at the present time. (Simon, 1979, pp. 144-145)Among the questions that can now be given preliminary answers in computational terms are the following: how can ideas from very different sources be spontaneously thought of together? how can two ideas be merged to produce a new structure, which shows the influence of both ancestor ideas without being a mere "cut-and-paste" combination? how can the mind be "primed," so that one will more easily notice serendipitous ideas? why may someone notice-and remember-something fairly uninteresting, if it occurs in an interesting context? how can a brief phrase conjure up an entire melody from memory? and how can we accept two ideas as similar ("love" and "prove" as rhyming, for instance) in respect of a feature not identical in both? The features of connectionist AI models that suggest answers to these questions are their powers of pattern completion, graceful degradation, sensitization, multiple constraint satisfaction, and "best-fit" equilibration.... Here, the important point is that the unconscious, "insightful," associative aspects of creativity can be explained-in outline, at least-by AI methods. (Boden, 1996, p. 273)There thus appears to be an underlying similarity in the process involved in creative innovation and social independence, with common traits and postures required for expression of both behaviors. The difference is one of product-literary, musical, artistic, theoretical products on the one hand, opinions on the other-rather than one of process. In both instances the individual must believe that his perceptions are meaningful and valid and be willing to rely upon his own interpretations. He must trust himself sufficiently that even when persons express opinions counter to his own he can proceed on the basis of his own perceptions and convictions. (Coopersmith, 1967, p. 58)he average level of ego strength and emotional stability is noticeably higher among creative geniuses than among the general population, though it is possibly lower than among men of comparable intelligence and education who go into administrative and similar positions. High anxiety and excitability appear common (e.g. Priestley, Darwin, Kepler) but full-blown neurosis is quite rare. (Cattell & Butcher, 1970, p. 315)he insight that is supposed to be required for such work as discovery turns out to be synonymous with the familiar process of recognition; and other terms commonly used in the discussion of creative work-such terms as "judgment," "creativity," or even "genius"-appear to be wholly dispensable or to be definable, as insight is, in terms of mundane and well-understood concepts. (Simon, 1989, p. 376)From the sketch material still in existence, from the condition of the fragments, and from the autographs themselves we can draw definite conclusions about Mozart's creative process. To invent musical ideas he did not need any stimulation; they came to his mind "ready-made" and in polished form. In contrast to Beethoven, who made numerous attempts at shaping his musical ideas until he found the definitive formulation of a theme, Mozart's first inspiration has the stamp of finality. Any Mozart theme has completeness and unity; as a phenomenon it is a Gestalt. (Herzmann, 1964, p. 28)Great artists enlarge the limits of one's perception. Looking at the world through the eyes of Rembrandt or Tolstoy makes one able to perceive aspects of truth about the world which one could not have achieved without their aid. Freud believed that science was adaptive because it facilitated mastery of the external world; but was it not the case that many scientific theories, like works of art, also originated in phantasy? Certainly, reading accounts of scientific discovery by men of the calibre of Einstein compelled me to conclude that phantasy was not merely escapist, but a way of reaching new insights concerning the nature of reality. Scientific hypotheses require proof; works of art do not. Both are concerned with creating order, with making sense out of the world and our experience of it. (Storr, 1993, p. xii)The importance of self-esteem for creative expression appears to be almost beyond disproof. Without a high regard for himself the individual who is working in the frontiers of his field cannot trust himself to discriminate between the trivial and the significant. Without trust in his own powers the person seeking improved solutions or alternative theories has no basis for distinguishing the significant and profound innovation from the one that is merely different.... An essential component of the creative process, whether it be analysis, synthesis, or the development of a new perspective or more comprehensive theory, is the conviction that one's judgment in interpreting the events is to be trusted. (Coopersmith, 1967, p. 59)In the daily stream of thought these four different stages [preparation; incubation; illumination or inspiration; and verification] constantly overlap each other as we explore different problems. An economist reading a Blue Book, a physiologist watching an experiment, or a business man going through his morning's letters, may at the same time be "incubating" on a problem which he proposed to himself a few days ago, be accumulating knowledge in "preparation" for a second problem, and be "verifying" his conclusions to a third problem. Even in exploring the same problem, the mind may be unconsciously incubating on one aspect of it, while it is consciously employed in preparing for or verifying another aspect. (Wallas, 1926, p. 81)he basic, bisociative pattern of the creative synthesis [is] the sudden interlocking of two previously unrelated skills, or matrices of thought. (Koestler, 1964, p. 121)11) The Earliest Stages in the Creative Process Involve a Commerce with DisorderEven to the creator himself, the earliest effort may seem to involve a commerce with disorder. For the creative order, which is an extension of life, is not an elaboration of the established, but a movement beyond the established, or at least a reorganization of it and often of elements not included in it. The first need is therefore to transcend the old order. Before any new order can be defined, the absolute power of the established, the hold upon us of what we know and are, must be broken. New life comes always from outside our world, as we commonly conceive that world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." (Ghiselin, 1985, p. 4)New life comes always from outside our world, as we commonly conceive our world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." Chaos and disorder are perhaps the wrong terms for that indeterminate fullness and activity of the inner life. For it is organic, dynamic, full of tension and tendency. What is absent from it, except in the decisive act of creation, is determination, fixity, and commitment to one resolution or another of the whole complex of its tensions. (Ghiselin, 1952, p. 13)[P]sychoanalysts have principally been concerned with the content of creative products, and with explaining content in terms of the artist's infantile past. They have paid less attention to examining why the artist chooses his particular activity to express, abreact or sublimate his emotions. In short, they have not made much distinction between art and neurosis; and, since the former is one of the blessings of mankind, whereas the latter is one of the curses, it seems a pity that they should not be better differentiated....Psychoanalysis, being fundamentally concerned with drive and motive, might have been expected to throw more light upon what impels the creative person that in fact it has. (Storr, 1993, pp. xvii, 3)A number of theoretical approaches were considered. Associative theory, as developed by Mednick (1962), gained some empirical support from the apparent validity of the Remote Associates Test, which was constructed on the basis of the theory.... Koestler's (1964) bisociative theory allows more complexity to mental organization than Mednick's associative theory, and postulates "associative contexts" or "frames of reference." He proposed that normal, non-creative, thought proceeds within particular contexts or frames and that the creative act involves linking together previously unconnected frames.... Simonton (1988) has developed associative notions further and explored the mathematical consequences of chance permutation of ideas....Like Koestler, Gruber (1980; Gruber and Davis, 1988) has based his analysis on case studies. He has focused especially on Darwin's development of the theory of evolution. Using piagetian notions, such as assimilation and accommodation, Gruber shows how Darwin's system of ideas changed very slowly over a period of many years. "Moments of insight," in Gruber's analysis, were the culminations of slow long-term processes.... Finally, the information-processing approach, as represented by Simon (1966) and Langley et al. (1987), was considered.... [Simon] points out the importance of good problem representations, both to ensure search is in an appropriate problem space and to aid in developing heuristic evaluations of possible research directions.... The work of Langley et al. (1987) demonstrates how such search processes, realized in computer programs, can indeed discover many basic laws of science from tables of raw data.... Boden (1990a, 1994) has stressed the importance of restructuring the problem space in creative work to develop new genres and paradigms in the arts and sciences. (Gilhooly, 1996, pp. 243-244; emphasis in original)Historical dictionary of quotations in cognitive science > Creativity
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14 idea
[aɪ'dɪə]n1) мысль, идеяWe are all for the idea. — Мы все за эту идею.
A good idea came to my mind. — Мне в голову пришла хорошая идея.
An idea crossed my mind. — У меня промелькнула мысль.
The idea never occurred to me. /The idea never entered my head/mind. — Мне такая мысль никогда не приходила в голову.
It is a poor idea. — Это неудачный план.
What is the big/great idea? — Это еще зачем? /Что это вам взбрело в голову?
Once this key idea had been found the plan was rapidly developed. — План получил быстрое развитие, как только была определена ключевая идея.
They caught up the idea of the club. — Они подхватили идею создания клуба.
After the European war the idea of a League of Nations was born. — Идея об организации Лиги Наций родилась после войны.
- good idea- brilliant idea
- foolish idea
- not a bad idea
- vague ideas
- sound idea
- gloomy idea
- absurd idea
- excellent idea- fleeting idea- borrowed ideas
- same idea
- main idea of the book
- idea of becoming an engineer
- idea at the back of her mind
- idea of going into the mountains
- very idea of a possible accident
- exchange of ideas
- chain of ideas
- man of one idea
- man of ideas
- based on the idea
- under the influence of a fixed idea
- understand the idea
- strike up of a bright idea
- carry big ideas to a successful conclusion
- assimilate easily the ideas of others
- convey one's ideas
- learn to express one's ideas clearly
- express one's ideas in writing
- put one's ideas into writing
- collect one's ideas
- put one's ideas into practice
- carry out one's long-cherished idea
- be dominated by one idea
- suggest the idea
- oppose the idea
- reject the idea
- assimilate idea
- absorb idea
- give up drop the idea
- discredit idea
- grasp the idea
- follow smb's ideas
- entertain ideas
- interchange ideas
- fight for an idea
- start smb on an idea
- hit upon an idea
- grope for an idea
- turn over an idea in one's mind
- communicate ideas to one another
- conform to the idea
- carry an idea to absurdity
- lead ideas in another direction
- dismiss the idea from one's mind
- owe the idea to smb- idea meets with the lively approval- idea haunts smb's mind
- ideas crowded
- idea gets clearer
- ideas get confused2) представление, понимание, понятиеHave you any idea of the time? — Знаете ли вы, сколько сейчас времени? /У вас есть представление о том, сколько сейчас времени?
We have a very different idea of the country. — Мы себе совершенно иначе представляем эту страну.
That is not my idea of duty. — У меня совсем другое понятие о долге.
Some idea may be gathered from these facts. — По этим фактам можно составить некоторое представление.
- abstract ideasIt does not convey a correct idea. — Это не дает правильного представления/правильной картины.
- idea of freedom
- idea of democracy
- have an idea about smth
- have no idea about smth
- have a general idea
- have an idea where...
- give an idea of smth
- give a good idea of smth
- introduce new ideas
- give birth to a great number of new ideas
- have some idea of chemistry
- have a poor idea of smb's abilities
- have an exaggerated idea of one's own importance
- do smth with the idea of becoming an artist
- form an idea
- without any idea of the whole matter3) (обыкновенно pl) воззрения, мировоззрение, взгляды, концепция, убеждения, теория, мнениеHe was exiled for his political ideas. — Его сослали за его политические взгляды/убеждения.
- leading ideasI have strict ideas about smoking. — У меня вполне определенное мнение/отношение о курении.
- current ideas on raising children
- have of progressive ideas
- have old-fashioned ideas
- absorb Western ideas
- have definite ideas on every subject
- form a complete idea about smth
- enlarge man's ideas of the universe
- force one's ideas on smb
- contradict generally accepted ideas- arrange ideas for presentation- ideas have spread from West to East
- man with no ideas about politics
- tell me your ideas on the subject•USAGE: -
15 Introspection
1) Experimental Introspection Is the One Reliable Method of Knowing OurselvesWhen we are trying to understand the mental processes of a child or a dog or an insect as shown by conduct and action, the outward signs of mental processes,... we must always fall back upon experimental introspection... [;] we cannot imagine processes in another mind that we do not find in our own. Experimental introspection is thus our one reliable method of knowing ourselves; it is the sole gateway to psychology. (Titchener, 1914, p. 32)There is a somewhat misleading point of view that one's own experience provides a sufficient understanding of mental life for scientific purposes. Indeed, early in the history of experimental psychology, the main method for studying cognition was introspection. By observing one's own mind, the argument went, one could say how one carried out cognitive activities....Yet introspection failed to be a good technique for the elucidation of mental processes in general. There are two simple reasons for this. First, so many things which we can do seem to be quite unrelated to conscious experience. Someone asks you your name. You do not know how you retrieve it, yet obviously there is some process by which the retrieval occurs. In the same way, when someone speaks to you, you understand what they say, but you do not know how you came to understand. Yet somehow processes take place in which words are picked out from the jumble of sound waves which reach your ears, in-built knowledge of syntax and semantics gives it meaning, and the significance of the message comes to be appreciated. Clearly, introspection is not of much use here, but it is undeniable that understanding language is as much a part of mental life as is thinking.As if these arguments were not enough, it is also the case that introspective data are notoriously difficult to evaluate. Because it is private to the experiencer, and experience may be difficult to convey in words to somebody else. Many early introspective protocols were very confusing to read and, even worse, the kinds of introspection reported tended to conform to the theoretical categories used in different laboratories. Clearly, what was needed was both a change in experimental method and a different (non-subjective) theoretical framework to describe mental life. (Sanford, 1987, pp. 2-3)Historical dictionary of quotations in cognitive science > Introspection
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16 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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17 Cognitive Science
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.... [P]eople and intelligent computers turn out to be merely different manifestations of the same underlying phenomenon. (Haugeland, 1981b, p. 31)2) Experimental Psychology, Theoretical Linguistics, and Computational Simulation of Cognitive Processes Are All Components of Cognitive ScienceI went away from the Symposium with a strong conviction, more intuitive than rational, that human experimental psychology, theoretical linguistics, and computer simulation of cognitive processes were all pieces of a larger whole, and that the future would see progressive elaboration and coordination of their shared concerns.... I have been working toward a cognitive science for about twenty years beginning before I knew what to call it. (G. A. Miller, 1979, p. 9)Cognitive Science studies the nature of cognition in human beings, other animals, and inanimate machines (if such a thing is possible). While computers are helpful within cognitive science, they are not essential to its being. A science of cognition could still be pursued even without these machines.Computer Science studies various kinds of problems and the use of computers to solve them, without concern for the means by which we humans might otherwise resolve them. There could be no computer science if there were no machines of this kind, because they are indispensable to its being. Artificial Intelligence is a special branch of computer science that investigates the extent to which the mental powers of human beings can be captured by means of machines.There could be cognitive science without artificial intelligence but there could be no artificial intelligence without cognitive science. One final caveat: In the case of an emerging new discipline such as cognitive science there is an almost irresistible temptation to identify the discipline itself (as a field of inquiry) with one of the theories that inspired it (such as the computational conception...). This, however, is a mistake. The field of inquiry (or "domain") stands to specific theories as questions stand to possible answers. The computational conception should properly be viewed as a research program in cognitive science, where "research programs" are answers that continue to attract followers. (Fetzer, 1996, pp. xvi-xvii)What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.The psychologist who studies "knowledge systems" wants to know how concepts are structured in the human mind, how such concepts develop, and how they are used in understanding and behavior. The artificial intelligence researcher wants to know how to program a computer so that it can understand and interact with the outside world. The two orientations intersect when the psychologist and the computer scientist agree that the best way to approach the problem of building an intelligent machine is to emulate the human conceptual mechanisms that deal with language.... The name "cognitive science" has been used to refer to this convergence of interests in psychology and artificial intelligence....This working partnership in "cognitive science" does not mean that psychologists and computer scientists are developing a single comprehensive theory in which people are no different from machines. Psychology and artificial intelligence have many points of difference in methods and goals.... We simply want to work on an important area of overlapping interest, namely a theory of knowledge systems. As it turns out, this overlap is substantial. For both people and machines, each in their own way, there is a serious problem in common of making sense out of what they hear, see, or are told about the world. The conceptual apparatus necessary to perform even a partial feat of understanding is formidable and fascinating. (Schank & Abelson, 1977, pp. 1-2)Within the last dozen years a general change in scientific outlook has occurred, consonant with the point of view represented here. One can date the change roughly from 1956: in psychology, by the appearance of Bruner, Goodnow, and Austin's Study of Thinking and George Miller's "The Magical Number Seven"; in linguistics, by Noam Chomsky's "Three Models of Language"; and in computer science, by our own paper on the Logic Theory Machine. (Newell & Simon, 1972, p. 4)Historical dictionary of quotations in cognitive science > Cognitive Science
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18 Language
Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)[A list of language games, not meant to be exhaustive:]Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling itSolving a problem in practical arithmeticTranslating from one language into anotherLANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)We dissect nature along the lines laid down by our native languages.The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own LanguageThe forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)[It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)23) Language Is Inevitably Influenced by Specific Contexts of Human InteractionLanguage cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)Historical dictionary of quotations in cognitive science > Language
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19 mean
̈ɪmi:n I прил.
1) а) убогий, жалкий, захудалый, запущенный mean city streets ≈ захудалые городские улицы Syn: shabby б) ничтожный, не заслуживающий внимания no mean feat ≈ стоящее дело Syn: contemptible в) неприятный, противный mean weather ≈ отвратительная погода Syn: unpleasant, disagreeable
1. г) вульгарный, низкий( о литературном стиле и т. п.) He thrust in some mean and unimportant anecdote. ≈ Ни к селу ни к городу он рассказал пошлый и бездарный анекдот.
2) о человеке, его характере, способностях а) посредственный, недалекий no mean abilities ≈ хорошие способности Syn: dull
1., small-minded б) разг. придирчивый, недоброжелательный в) скаредный, скупой Syn: penurious, stingy г) низкий, подлый Syn: ignoble, base II
1.
3) амер.;
разг. а) скромный, смущающийся feel mean Syn: humble I
1. б) нездоровый, плохо себя чувствующий Syn: poorly
2.
4) амер. а) неподдающийся, трудный Syn: vexatious б) норовистый (о лошади) Syn: vicious
5) амер.;
разг. отменный, превосходный;
поражающий, бросающийся в глаза;
огромный Mr. Ronnie Scott plays a mean saxophone. ≈ Мистер Ронни Скотт блестяще играет на саксофоне. Syn: excellent, effective, formidable II
1. сущ.
1) середина golden mean, happy mean ≈ золотая середина Syn: middle
1., midst
1., medium
1.
2) мат. средняя величина, среднее число to find a mean ≈ найти среднее (значение) arithmetic mean ≈ среднее арифметическое harmonic mean ≈ среднее гармоническое
3) мн. способ, средство
4) мн. средства, достаток, состоятельность man of means ≈ человек со средствами means of living, means of subsistence ≈ средства к существованию
2. прил.
1) средний the mean temperature ≈ средняя температура mean line ≈ биссектриса mean yield ≈ средний урожай in the mean time Syn: average
2., moderate
2.
2) посреднический Syn: intermediary
2. III гл.;
прош. вр. и прич. прош. вр. - meant
1) намереваться, иметь в виду She means to win. ≈ Она собирается выиграть. to mean business разг. ≈ быть готовым серьезно, а не на словах взяться за дело mean well ≈ иметь добрые намерения mean mischief ≈ иметь дурные намерения Syn: intend
2) предназначать I was meant to teach. ≈ Я должен был стать учителем. Is this valuable painting meant for me? ≈ Эта прекрасная картина предназначена для меня?
3) думать, подразумевать What do you mean by that? ≈ Что вы этим хотите сказать? I wasn't serious - I meant it. ≈ Я не думал этого - это была просто шутка. I didn't mean you to read the letter. ≈ Я не предполагал, чтобы ты прочел письмо. I'm sorry if I hurt your feelings - I didn't mean to. ≈ Простите, если я обидел Вас, я не хотел этого. Syn: have in mind
4) а) значить, означать The dictionary tries to tell you what words mean. ≈ Словарь пытается показать вам, что значат слова. б) предвещать, предполагать A red sky means rain. ≈ Красное небо к дождю. в) иметь значение( для кого-л.) Health means everything. ≈ Здоровье - это все. ∙ Syn: denote, imply, indicate, signify, suggest, symbolize середина the golden /happy/ * золотая середина (математика) среднее число, средняя величина the * of 3, 5 and 7 is 5 среднее между 3, 5 и 7 равно 5 (устаревшее) умеренность средний - * time среднее (солнечное) время - Greenwich * time среднее время по Гринвичу - * solar day средние солнечные сутки - the * yearly rainfall средняя годовая норма осадков - * concentration( химическое) средняя концентрация - * line (математика) биссектрисса - * line of fire (военное) директриса стрельбы - * proportional( математика) среднее геометрическое - * life (- time) (физическое) среднее время жизни( частицы) - * course( морское) генеральный курс - * observed range( военное) средняя дальность наблюдения - * water нормальный уровень воды;
межень - * yield средний урожай - * part (музыкальное) средний голос, теноровая или альтовая партия посредственный, плохой;
слабый - * abilities посредственные /плохие, слабые/ способности - * orator плохой оратор - no * abilities незаурядные способности - he is no * scholar он большой ученый - it is clear to the *est intelligence это даже дураку понятно - to have the *est opinion of smb. быть о ком-л. самого дурного мнения - he has no * opinion of himself он о себе высокого мнения скупой, скаредный - to be * over /about/ money (matters) быть скупым в денежных делах /вопросах/ скудный, бедный, жалкий, убогий;
нищенский - * fare скудная пища - * appearance жалкий /убогий/ вид - * abode убогое жилище - a * house in a * street убогий домишко на бедной /убогой/ улочке низкий, подлый, нечестный, презренный - * remark подлое замечание - * trick низкая /подлая, нечестная/ проделка - that was a * trick это низко /нечестно/ - it is a * creature он низкий /подлый/ человек, он низкое /подлое/ существо - it is * of him это низко с его стороны низкого происхождения - of * birth /parentage/ низкого происхождения - man of the *er sort люди более низкого сорта (разговорное) мелочный, придирчивый;
неприветливый;
злобный - to be * to smb. мелочно придираться к кому-л.;
плохо относиться к кому-л. - don't be so * to me относись ко мне подобрее;
не будь таким злым со мной predic (американизм) (разговорное) совестливый, смущающийся - to feel * стыдиться, смущаться, чувствовать себя неловко - it made me feel rather * это меня несколько смутило;
я почувствовал себя неловко нездоровый, чувствующий недомогание - to feel * быть нездоровым, чувствовать недомогание норовистый (о лошади) (американизм) (разговорное) трудный, неподдающийся (американизм) (разговорное) злой( о собаке) - be careful, that's a * dog осторожно, это злая собака намереваться, иметь ввиду - to * to do smth. намереваться что-л. сделать - I * succeed я намереваюсь добиться успеха - he *s to go он намеревается /хочет/ уйти - I * to go tomorrow я хочу уйти завтра - I meant to write я намеревался /собирался/ писать - what do you * to do? что вы собираетесь /предполагаете/ делать? - do you * to stay long? вы намереваетесь пробыть здесь долго? - I did not * to do it я не хотел этого делать - I did not * to offend you, I meant you no offence я не хотел вас обидеть - I don't * to put up with it я не собираюсь с этим мириться - without *ing it не имея этого в виду;
не желая того - to * mischef иметь дурные намерения - to * well (by /to/ smb.) иметь добрые намерения (в отношении кого-л.) - he *s (you) no harm он не желает вам зла подразумевать, иметь в виду;
думать - do you * him? вы подразумеваете его? вы имеете в виду его? - what do you * by that /by it/? что вы этим хотите сказать?;
почему вы поступаете так? - what do you * by laughing at me? в чем дело, почему ты смеешься надо мной? - what exactly do you * ? что вы, собственно говоря, имеете в виду? - this is what I * вот что я имею в виду, вот что я хочу сказать - I did not * that это не то, что я имел в виду;
я не хотел этого;
это не то, что я хотел сказать - I never say what I don't * я никогда не говорю того, чего не думаю, я всегда говорю то, что думаю - do you think he *s what he says? вы думаете, что говорите серьезно? - he certainly meant what he said он сказал именно то, что думал;
он сказал это всерьез - you don't * it! вы шутите!;
неужели?!;
вы этого не думаете! - I * it! я серьезно говорю!;
я не шучу! - he *s business он берется за дело всерьез - this picture is meant for him предполагается, что это его портрет предназначать - to * smth. for smb. предназначать что-л. для кого-л. - I * this present for you я предназначаю этот подарок вам - I meant this remark for a joke я сказал это в шутку, я пошутил - this picture is meant for him эта картина была предназначена для него - this remark was meant for you это замечание относилось к вам - he was meant to be /for/ a teacher его прочили в учителя - they were meant for each other они были созданы друг для друга значить, иметь значения - this word *s... это слово значит... - "homely" *s something different in America слово "homely" имеет в американском варианте английского языка другое значение означать, значить, предвещать - the conflict probably *s war этот конфликт может привести к войне, этот конфликт чреват войной - it will * a lot of expence это повлечет за собой большие расходы - what does all this *? что все это значит? - I know what happiness *s я знаю, что значит счастье (to) значить, иметь значение (для кого-л.) - to * much to smb. много значить для кого-л. - your friendship *s great deal to me твоя дружба много для меня значит - money *s little to me деньги для меня не имеют значения - the name *s nothing to me это имя ничего мне не говорит - modern music *s nothing to me современная музыка мне совершенно непонятна a posteriori ~ апостериорное среднее arithmetic ~ арифметическое значение arithmetic ~ арифметическое среднее arithmetic ~ среднее арифметическое asymptotic ~ асимптотическое значение среднего asymptotical ~ асимптотическое значение среднего by all ~s конечно, пожалуйста;
by any means каким бы то ни было образом;
by means of... посредством... by all ~s любой ценой, во что бы то ни стало by all ~s любым способом by all ~s конечно, пожалуйста;
by any means каким бы то ни было образом;
by means of... посредством... by all ~s конечно, пожалуйста;
by any means каким бы то ни было образом;
by means of... посредством... by no ~s никоим образом;
ни в коем случае by no ~s нисколько, отнюдь не;
it is by no means cheap это отнюдь не дешево no: ~ two ways about it не может быть двух мнений насчет этого;
by no means никоим образом;
конечно, нет conditional ~ условное среднее estimated ~ оценка среднего to feel ~ чувствовать себя нездоровым to feel ~ чувствовать себя неловко geometric ~ среднее геометрическое geometrical ~ среднее геометрическое ~ середина;
the golden (или happy) mean золотая середина harmonic ~ гармоническое среднее harmonical ~ гармоническое среднее to ~ mischief предвещать дурное;
to mean well (ill) иметь добрые (дурные) намерения;
he means well by us он желает нам добра ~ (meant) намереваться;
иметь в виду;
I didn't mean to offend you я не хотел вас обидеть in the ~ time тем временем;
между тем by no ~s нисколько, отнюдь не;
it is by no means cheap это отнюдь не дешево limiting ~ предельное среднее long range ~ среднее по большому интервалу long time ~ среднее по большому интервалу mean бедный ~ думать, подразумевать ~ думать ~ значить, означать, иметь значение ~ значить ~ иметь в виду ~ иметь значение ~ стат. математическое ожидание ~ намереваться, иметь в виду ~ (meant) намереваться;
иметь в виду;
I didn't mean to offend you я не хотел вас обидеть ~ намереваться ~ нечестный ~ низкий, подлый, нечестный ~ нищенский ~ означать ~ плохой ~ подразумевать ~ посредственный;
плохой;
слабый;
no mean abilities хорошие способности ~ посредственный ~ предназначать(ся) ;
to mean it be used предназначать (что-л.) для пользования ~ разг. придирчивый;
недоброжелательный ~ середина;
the golden (или happy) mean золотая середина ~ разг. скромный, смущающийся ~ скудный ~ скупой, скаредный ~ слабый ~ среднее значение ~ мат. среднее число ~ средний;
mean line мат. биссектриса;
mean time среднее солнечное время;
mean water нормальный уровень воды;
межень ~ средний ~ средняя величина ~ pl средства, состояние, богатство;
means of subsistence средства к существованию;
a man of means человек со средствами, состоятельный человек ~ средства, состояние, богатство ~ средство, способ ~ pl (употр. как sing и как pl) средство;
способ;
the means of communication средства сообщения ~ амер. трудный, неподдающийся ~ in question искомое среднее ~ предназначать(ся) ;
to mean it be used предназначать (что-л.) для пользования ~ средний;
mean line мат. биссектриса;
mean time среднее солнечное время;
mean water нормальный уровень воды;
межень to ~ mischief иметь дурные намерения to ~ mischief предвещать дурное;
to mean well (ill) иметь добрые (дурные) намерения;
he means well by us он желает нам добра ~ средний;
mean line мат. биссектриса;
mean time среднее солнечное время;
mean water нормальный уровень воды;
межень time: mean ~ вчт. среднее время ~ value theorem теорема о среднем ~ средний;
mean line мат. биссектриса;
mean time среднее солнечное время;
mean water нормальный уровень воды;
межень to ~ mischief предвещать дурное;
to mean well (ill) иметь добрые (дурные) намерения;
he means well by us он желает нам добра ~ yield средний урожай the means of payment эк. платежные средства;
the means and instruments of production орудия и средства производства the means of circulation эк. средства обращения ~ pl (употр. как sing и как pl) средство;
способ;
the means of communication средства сообщения means: ~ of communication средства коммуникации ~ of communication средства связи ~ of communication средства сообщения means of employment средства обеспечения занятости the means of payment эк. платежные средства;
the means and instruments of production орудия и средства производства means: ~ of payment способ платежа ~ of payment средства платежа ~ of payment средства расчетов ~ of payment средство платежа ~ pl средства, состояние, богатство;
means of subsistence средства к существованию;
a man of means человек со средствами, состоятельный человек means: ~ of subsistence средства к существованию means test проверка нуждаемости test: means ~ проверка нуждаемости means ~ проверка обеспеченности следствами к существованию means ~ тест на бедность means ~ тест на отсутствие средств к существованию moving ~ скользящее среднее ~ посредственный;
плохой;
слабый;
no mean abilities хорошие способности overall ~ общее среднее probabilistic ~ математическое ожидание quadratic ~ среднее квадратическое sample ~ выборочное среднее simple ~ среднее арифметическое single sample ~ среднее по одной выборке theoretical ~ value математическое ожидание trending ~ изменяющееся среднее true ~ истинное среднее unweighted ~ невзвешенное среднее weighted ~ взвешенное среднее weighted ~ стат. взвешенное среднее what do you ~ by that? почему вы поступаете так?;
what did you mean by looking at me like that? в чем дело? Почему ты на меня так посмотрел? what do you ~ by that? почему вы поступаете так?;
what did you mean by looking at me like that? в чем дело? Почему ты на меня так посмотрел? what do you ~ by that? что вы этим хотите сказать? -
20 pure
'pjuə1) (not mixed with anything especially dirty or less valuable: pure gold.) puro2) (clean, especially morally: pure thoughts.) puro3) (complete; absolute: a pure accident.) puro, completo4) ((of sounds) clear; keeping in tune: She sang in a high pure tone.) límpido•- purely- pureness
- purity
- purify
- purification
- pure-blooded
- pure-bred
- pure and simple
pure adj puro
puré sustantivo masculino: puré de tomates tomato purée o paste; puré de papas or (Esp) patatas mashed o creamed potatoes
puré m Culin purée, thick soup
puré de patatas, mashed potatoes Locuciones: estar hecho puré, to be exhausted o familiar to be knackered ' puré' also found in these entries: Spanish: candorosa - candoroso - castiza - castizo - comerse - grumosa - grumoso - impoluta - impoluto - lana - ley - liofilizar - mera - mero - pura - puro - simple - aplastar - carambola - conjetura - mancha English: banger - cream - crisps - mash - potato chips - pure - soup - conjecture - croquette - puree - racially - sheer - solidtr['pjʊəSMALLr/SMALL]1 (gen) puro,-a\SMALLIDIOMATIC EXPRESSION/SMALLpure and simple puro,-a y simplepure new wool pura lana virgenadj.• acendrado, -a adj.• castizo, -a adj.• casto, -a adj.• fino, -a adj.• genuino, -a adj.• honesto, -a adj.• incorrupto, -a adj.• limpio, -a adj.• lirondo, -a adj.• mondo, -a adj.• neto, -a adj.• puro, -a adj.• terso, -a adj.pjʊr, pjʊə(r)a) ( unmixed) puroit's negligence pure and simple — se trata de negligencia, lisa or simple y llanamente
b) ( not applied) (before n) <science/mathematics> puro[pjʊǝ(r)]1. ADJ(compar purer) (superl purest)1) (=unadulterated) [wool, alcohol, substance] puro; [silk] naturalit's blackmail, pure and simple — esto es chantaje, lisa y llanamente
2) (=clean, clear) [air, water, sound, light] puro3) (=sheer) [pleasure, luck, coincidence, speculation] puro4) (=theoretical) puro5) (=virgin, blameless) puropure in or of heart — liter limpio de corazón
2.CPDPUREpure vowel N — vocal f simple
Position of "puro"
You should generally put p uro after the noun when you mean pure in the sense of "uncontaminated" or "unadulterated" and before the noun in the sense of "sheer" or "plain":
... pure olive oil...... aceite puro de oliva...
It's pure coincidence Es pura coincidencia For further uses and examples, see main entry* * *[pjʊr, pjʊə(r)]a) ( unmixed) puroit's negligence pure and simple — se trata de negligencia, lisa or simple y llanamente
b) ( not applied) (before n) <science/mathematics> puro
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