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1 scientific content
Большой англо-русский и русско-английский словарь > scientific content
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2 scientific content
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3 scientific content
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4 scientific content
Англо-русский словарь по исследованиям и ноу-хау > scientific content
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5 content
1) доля, процент, содержание ( чего-л. в чём-л.)2) объём, величина, вместимость, ёмкость3) содержание, смысл4) информационное наполнение, контент•table of contents — содержание, оглавление
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6 content
1) сокосодержание
2) запас
3) содержимый
4) емкость
– ash content
– content function
– content of polynomial
– cubic content
– dust content
– energy content
– gas content
– heat content
– information content
– mass content
– moisture content
– scientific content
– table of content
absolute moisture content — <engin.> влажность абсолютная
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7 scientific
1) научный
2) умелый
3) искусный
– scientific and technical
– scientific brainpower
– scientific community
– scientific content
– scientific documentation
– scientific facility
– scientific payload
– scientific sensor
scientific production association — объединение научно-производственное
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8 SCA
1) Компьютерная техника: Shared Control Array, Single Connector Assembly, satellite channel assignment3) Медицина: Sudden Cardiac Arrest4) Американизм: Senate Constitutional Amendment, Subsidiary Carrier Authorization5) Военный термин: Satellite Communications Agency, Service Contract Act, Service Cryptologic Agency, Southern communications area, Strategic Competitiveness Agency, seacoast artillery, senior class adviser, service cryptologic agencies, ship cost adjustment, small caliber ammunitions, stabilization control amplifier, storage, checkout and assembly, supersonic cruising aircraft6) Техника: Subsidiary Communication Authorization, secondary control assembly, simulated core assembly, single-channel analyzer, site characterization analysis, small component autoclave, sneak circuit analysis, subchannel adapter, superconducting accelerator7) Шутливое выражение: Skinned Character Animation, Society For Creative Anarchy8) Религия: Satanic Church Of America9) Юридический термин: Sexual Child Abuse, Steel Cage Asylum10) Автомобильный термин: Supplemental Coolant Additive (охлаждающие средства дизельных двигателей)11) Телекоммуникации: Software Communications Architecture12) Сокращение: Scientific Content Analysis (linguistic lie detector technique), Section Chief Assembly (Part of gun display unit), Senior Citizens of America, Shuttle Carrier Aircraft, Signal Communication in the Army (UK), Simulation Control Area, Special Committee on Agriculture, subcarrier authorization13) Университет: Student Career Assistant, Student Christian Association, Student Conservation Association, Student Cooperative Association14) Электроника: Single Channel Analyzer, Stereo Control Amplifier, Surface Charge Analysis15) Вычислительная техника: Scalable Cooperative Architecture, Synchronous Clock Adjustment, single connector attachment, Software Corporation of America (Hersteller, USA), Shuttle Carrier Aircraft (Space)16) Нефть: Safety and Control Area17) Иммунология: Serum Complement Antibody18) Биотехнология: СКВ, стволовые клетки взрослых19) Транспорт: Supplemental Coolant Additive20) Фирменный знак: Smith Clark Associates, Southwest Counseling Associates21) Образование: Student Community Action, Student Council Association22) Сетевые технологии: Send Configure Ack, System Communication Architecture, Systems Communication Architecture, архитектура системной связи23) Программирование: Сервис-компонентная архитектура (сокр. от Service Component Architecture)24) Сахалин Р: Structural Consequence Assessment25) Химическое оружие: Subcontract administrator26) Расширение файла: SCA Datafile, Scalable Computing Architecture (HP)27) Электротехника: short-circuit ampere, silicon-controlled assembly, solar cell array28) Снабжение: supplier corrective action29) Должность: Sensitive Civil Activist30) НАСА: Special Camera Adapter31) Международная торговля: Sustainable Competitive Advantage -
9 sca
1) Компьютерная техника: Shared Control Array, Single Connector Assembly, satellite channel assignment3) Медицина: Sudden Cardiac Arrest4) Американизм: Senate Constitutional Amendment, Subsidiary Carrier Authorization5) Военный термин: Satellite Communications Agency, Service Contract Act, Service Cryptologic Agency, Southern communications area, Strategic Competitiveness Agency, seacoast artillery, senior class adviser, service cryptologic agencies, ship cost adjustment, small caliber ammunitions, stabilization control amplifier, storage, checkout and assembly, supersonic cruising aircraft6) Техника: Subsidiary Communication Authorization, secondary control assembly, simulated core assembly, single-channel analyzer, site characterization analysis, small component autoclave, sneak circuit analysis, subchannel adapter, superconducting accelerator7) Шутливое выражение: Skinned Character Animation, Society For Creative Anarchy8) Религия: Satanic Church Of America9) Юридический термин: Sexual Child Abuse, Steel Cage Asylum10) Автомобильный термин: Supplemental Coolant Additive (охлаждающие средства дизельных двигателей)11) Телекоммуникации: Software Communications Architecture12) Сокращение: Scientific Content Analysis (linguistic lie detector technique), Section Chief Assembly (Part of gun display unit), Senior Citizens of America, Shuttle Carrier Aircraft, Signal Communication in the Army (UK), Simulation Control Area, Special Committee on Agriculture, subcarrier authorization13) Университет: Student Career Assistant, Student Christian Association, Student Conservation Association, Student Cooperative Association14) Электроника: Single Channel Analyzer, Stereo Control Amplifier, Surface Charge Analysis15) Вычислительная техника: Scalable Cooperative Architecture, Synchronous Clock Adjustment, single connector attachment, Software Corporation of America (Hersteller, USA), Shuttle Carrier Aircraft (Space)16) Нефть: Safety and Control Area17) Иммунология: Serum Complement Antibody18) Биотехнология: СКВ, стволовые клетки взрослых19) Транспорт: Supplemental Coolant Additive20) Фирменный знак: Smith Clark Associates, Southwest Counseling Associates21) Образование: Student Community Action, Student Council Association22) Сетевые технологии: Send Configure Ack, System Communication Architecture, Systems Communication Architecture, архитектура системной связи23) Программирование: Сервис-компонентная архитектура (сокр. от Service Component Architecture)24) Сахалин Р: Structural Consequence Assessment25) Химическое оружие: Subcontract administrator26) Расширение файла: SCA Datafile, Scalable Computing Architecture (HP)27) Электротехника: short-circuit ampere, silicon-controlled assembly, solar cell array28) Снабжение: supplier corrective action29) Должность: Sensitive Civil Activist30) НАСА: Special Camera Adapter31) Международная торговля: Sustainable Competitive Advantage -
10 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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11 Bibliography
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Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.■ Sanford, A. J. (1987). The mind of man: Models of human understanding. New Haven, CT: Yale University Press.■ Sapir, E. (1921). Language. New York: Harcourt, Brace, and World.■ Sapir, E. (1964). Culture, language, and personality. Berkeley: University of California Press. (Originally published in 1941.)■ Sapir, E. (1985). The status of linguistics as a science. In D. G. Mandelbaum (Ed.), Selected writings of Edward Sapir in language, culture and personality (pp. 160166). Berkeley: University of California Press. (Originally published in 1929).■ Scardmalia, M., & C. Bereiter (1992). Literate expertise. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.■ Schafer, R. (1954). Psychoanalytic interpretation in Rorschach testing. New York: Grune & Stratten.■ Schank, R. C. (1973). Identification of conceptualizations underlying natural language. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 187-248). San Francisco: W. H. Freeman.■ Schank, R. C. (1976). The role of memory in language processing. In C. N. Cofer (Ed.), The structure of human memory. (pp. 162-189) San Francisco: W. H. Freeman.■ Schank, R. C. (1986). Explanation patterns: Understanding mechanically and creatively. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Schank, R. C., & R. P. Abelson (1977). Scripts, plans, goals, and understanding. Hillsdale, NJ: Lawrence Erlbaum Associates.■ SchroЁdinger, E. (1951). Science and humanism. Cambridge: Cambridge University Press.■ Searle, J. R. (1981a). Minds, brains, and programs. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 282-306). Cambridge, MA: MIT Press.■ Searle, J. R. (1981b). Minds, brains and programs. In D. Hofstadter & D. Dennett (Eds.), The mind's I (pp. 353-373). New York: Basic Books.■ Searle, J. R. (1983). Intentionality. New York: Cambridge University Press.■ Serres, M. (1982). The origin of language: Biology, information theory, and thermodynamics. M. Anderson (Trans.). In J. V. Harari & D. F. Bell (Eds.), Hermes: Literature, science, philosophy (pp. 71-83). Baltimore: Johns Hopkins University Press.■ Simon, H. A. (1966). Scientific discovery and the psychology of problem solving. In R. G. Colodny (Ed.), Mind and cosmos: Essays in contemporary science and philosophy (pp. 22-40). Pittsburgh: University of Pittsburgh Press.■ Simon, H. A. (1979). Models of thought. New Haven, CT: Yale University Press.■ Simon, H. A. (1989). The scientist as a problem solver. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert Simon. Hillsdale, N.J.: Lawrence Erlbaum Associates.■ Simon, H. A., & C. Kaplan (1989). Foundations of cognitive science. In M. Posner (Ed.), Foundations of cognitive science (pp. 1-47). Cambridge, MA: MIT Press.■ Simonton, D. K. (1988). Creativity, leadership and chance. In R. J. Sternberg (Ed.), The nature of creativity. Cambridge: Cambridge University Press.■ Skinner, B. F. (1974). About behaviorism. New York: Knopf.■ Smith, E. E. (1988). Concepts and thought. In J. Sternberg & E. E. Smith (Eds.), The psychology of human thought (pp. 19-49). Cambridge: Cambridge University Press.■ Smith, E. E. (1990). Thinking: Introduction. In D. N. Osherson & E. E. Smith (Eds.), Thinking. An invitation to cognitive science. (Vol. 3, pp. 1-2). Cambridge, MA: MIT Press.■ Socrates. (1958). Meno. In E. H. Warmington & P. O. Rouse (Eds.), Great dialogues of Plato W.H.D. Rouse (Trans.). New York: New American Library. (Original publication date unknown.)■ Solso, R. L. (1974). Theories of retrieval. In R. L. Solso (Ed.), Theories in cognitive psychology. Potomac, MD: Lawrence Erlbaum Associates.■ Spencer, H. (1896). The principles of psychology. New York: Appleton-CenturyCrofts.■ Steiner, G. (1975). After Babel: Aspects of language and translation. New York: Oxford University Press.■ Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Sternberg, R. J. (1994). Intelligence. In R. J. Sternberg, Thinking and problem solving. San Diego: Academic Press.■ Sternberg, R. J., & J. E. Davidson (1985). Cognitive development in gifted and talented. In F. D. Horowitz & M. O'Brien (Eds.), The gifted and talented (pp. 103-135). Washington, DC: American Psychological Association.■ Storr, A. (1993). The dynamics of creation. New York: Ballantine Books. (Originally published in 1972.)■ Stumpf, S. E. (1994). Philosophy: History and problems (5th ed.). New York: McGraw-Hill.■ Sulloway, F. J. (1996). Born to rebel: Birth order, family dynamics, and creative lives. New York: Random House/Vintage Books.■ Thorndike, E. L. (1906). Principles of teaching. New York: A. G. Seiler.■ Thorndike, E. L. (1970). Animal intelligence: Experimental studies. Darien, CT: Hafner Publishing Co. (Originally published in 1911.)■ Titchener, E. B. (1910). A textbook of psychology. New York: Macmillan.■ Titchener, E. B. (1914). A primer of psychology. New York: Macmillan.■ Toulmin, S. (1957). The philosophy of science. London: Hutchinson.■ Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organisation of memory. London: Academic Press.■ Turing, A. (1946). In B. E. Carpenter & R. W. Doran (Eds.), ACE reports of 1946 and other papers. Cambridge, MA: MIT Press.■ Turkle, S. (1984). Computers and the second self: Computers and the human spirit. New York: Simon & Schuster.■ Tyler, S. A. (1978). The said and the unsaid: Mind, meaning, and culture. New York: Academic Press.■ van Heijenoort (Ed.) (1967). From Frege to Goedel. Cambridge: Harvard University Press.■ Varela, F. J. (1984). The creative circle: Sketches on the natural history of circularity. In P. Watzlawick (Ed.), The invented reality (pp. 309-324). New York: W. W. Norton.■ Voltaire (1961). On the Penseґs of M. Pascal. In Philosophical letters (pp. 119-146). E. Dilworth (Trans.). Indianapolis: Bobbs-Merrill.■ Wagman, M. (1991a). Artificial intelligence and human cognition: A theoretical inter comparison of two realms of intellect. Westport, CT: Praeger.■ Wagman, M. (1991b). Cognitive science and concepts of mind: Toward a general theory of human and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1993). Cognitive psychology and artificial intelligence: Theory and re search in cognitive science. Westport, CT: Praeger.■ Wagman, M. (1995). The sciences of cognition: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1996). Human intellect and cognitive science: Toward a general unified theory of intelligence. Westport, CT: Praeger.■ Wagman, M. (1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.■ Wagman, M. (1998b). Language and thought in humans and computers: Theory and research in psychology, artificial intelligence, and neural science. Westport, CT: Praeger.■ Wagman, M. (1998c). The ultimate objectives of artificial intelligence: Theoretical and research foundations, philosophical and psychological implications. Westport, CT: Praeger.■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.■ Wagman, M. (2000). Scientific discovery processes in humans and computers: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.■ Weisberg, R. W. (1986). Creativity: Genius and other myths. New York: W. H. Freeman.■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifflin.■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.■ Winston, P. H. (Ed.) (1975). 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Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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12 Psychoanalysis
[Psychoanalysis] seeks to prove to the ego that it is not even master in its own house, but must content itself with scanty information of what is going on unconsciously in the mind. (Freud, 1953-1974, Vol. 16, pp. 284-285)Although in the interview the analyst is supposedly a "passive" auditor of the "free association" narration by the subject, in point of fact the analyst does direct the course of the narrative. This by itself does not necessarily impair the evidential worth of the outcome, for even in the most meticulously conducted laboratory experiment the experimenter intervenes to obtain the data he is after. There is nevertheless the difficulty that in the nature of the case the full extent of the analyst's intervention is not a matter that is open to public scrutiny, so that by and large one has only his own testimony as to what transpires in the consulting room. It is perhaps unnecessary to say that this is not a question about the personal integrity of psychoanalytic practitioners. The point is the fundamental one that no matter how firmly we may resolve to make explicit our biases, no human being is aware of all of them, and that objectivity in science is achieved through the criticism of publicly accessible material by a community of independent inquirers.... Moreover, unless data are obtained under carefully standardized circumstances, or under different circumstances whose dependence on known variables is nevertheless established, even an extensive collection of data is an unreliable basis for inference. To be sure, analysts apparently do attempt to institute standard conditions for the conduct of interviews. But there is not much information available on the extent to which the standardization is actually enforced, or whether it relates to more than what may be superficial matters. (E. Nagel, 1959, pp. 49-50)3) No Necessary Incompatibility between Psychoanalysis and Certain Religious Formulationshere would seem to be no necessary incompatibility between psychoanalysis and those religious formulations which locate God within the self. One could, indeed, argue that Freud's Id (and even more Groddeck's It), the impersonal force within which is both the core of oneself and yet not oneself, and from which in illness one become[s] alienated, is a secular formation of the insight which makes religious people believe in an immanent God. (Ryecroft, 1966, p. 22)Freudian analysts emphasized that their theories were constantly verified by their "clinical observations."... It was precisely this fact-that they always fitted, that they were always confirmed-which in the eyes of their admirers constituted the strongest argument in favour of these theories. It began to dawn on me that this apparent strength was in fact their weakness.... It is easy to obtain confirmations or verifications, for nearly every theory-if we look for confirmation. (Popper, 1968, pp. 3435)5) Psychoanalysis Is Not a Science But Rather the Interpretation of a Narrated HistoryPsychoanalysis does not satisfy the standards of the sciences of observation, and the "facts" it deals with are not verifiable by multiple, independent observers.... There are no "facts" nor any observation of "facts" in psychoanalysis but rather the interpretation of a narrated history. (Ricoeur, 1974, p. 186)6) Some of the Qualities of a Scientific Approach Are Possessed by PsychoanalysisIn sum: psychoanalysis is not a science, but it shares some of the qualities associated with a scientific approach-the search for truth, understanding, honesty, openness to the import of the observation and evidence, and a skeptical stance toward authority. (Breger, 1981, p. 50)[Attributes of Psychoanalysis:]1. Psychic Determinism. No item in mental life and in conduct and behavior is "accidental"; it is the outcome of antecedent conditions.2. Much mental activity and behavior is purposive or goal-directed in character.3. Much of mental activity and behavior, and its determinants, is unconscious in character. 4. The early experience of the individual, as a child, is very potent, and tends to be pre-potent over later experience. (Farrell, 1981, p. 25)Our sceptic may be unwise enough... to maintain that, because analytic theory is unscientific on his criterion, it is not worth discussing. This step is unwise, because it presupposes that, if a study is not scientific on his criterion, it is not a rational enterprise... an elementary and egregious mistake. The scientific and the rational are not co-extensive. Scientific work is only one form that rational inquiry can take: there are many others. (Farrell, 1981, p. 46)Psychoanalysts have tended to write as though the term analysis spoke for itself, as if the statement "analysis revealed" or "it was analyzed as" preceding a clinical assertion was sufficient to establish the validity of what was being reported. An outsider might easily get the impression from reading the psychoanalytic literature that some standardized, generally accepted procedure existed for both inference and evidence. Instead, exactly the opposite has been true. Clinical material in the hands of one analyst can lead to totally different "findings" in the hands of another. (Peterfreund, 1986, p. 128)The analytic process-the means by which we arrive at psychoanalytic understanding-has been largely neglected and is poorly understood, and there has been comparatively little interest in the issues of inference and evidence. Indeed, psychoanalysts as a group have not recognized the importance of being bound by scientific constraints. They do not seem to understand that a possibility is only that-a possibility-and that innumerable ways may exist to explain the same data. Psychoanalysts all too often do not seem to distinguish hypotheses from facts, nor do they seem to understand that hypotheses must be tested in some way, that criteria for evidence must exist, and that any given test for any hypothesis must allow for the full range of substantiation/refutation. (Peterfreund, 1986, p. 129)Historical dictionary of quotations in cognitive science > Psychoanalysis
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13 substance
1) (a material: Rubber is a tough, stretchy substance obtained from the juice of certain plants.) sustancia2) (as a scientific term, an element, compound or mixture.) sustanciasubstance n sustanciatr['sʌbstəns]1 (matter) sustancia2 (real matter, solid content) sustancia, solidez nombre femenino■ matters of substance temas fundamentales/importantes■ there is no substance in the rumour el rumor no es fundado, el rumor carece de fundamento3 (essence, gist) esencia, sustancia4 (wealth) riquezasubstance ['sʌbstənts] n1) essence: sustancia f, esencia f2) : sustancia fa toxic substance: una sustancia tóxica3) wealth: riqueza fa woman of substance: una mujer acaudaladan.• alma s.f.• cuerpo s.m.• enjundia s.f.• esencia s.f.• jugo s.m.• miga s.f.• migajón s.m.• ser s.m.• substancia s.f.• suma s.f.• sustancia s.f.'sʌbstəns1) c ( type of matter) sustancia f2) ua) (solid quality, content) sustancia f; ( of book) enjundia f, sustancia fthe two main issues of substance — los dos puntos fundamentales or esenciales
b) ( foundation) fundamento mc) ( main points)['sʌbstǝns]the substance — la sustancia, lo esencial
1. N1) (physical)a) (=solution, chemical) sustancia fillegalb) (=solidity) corporeidad f ; [of fabric] cuerpo m2) (fig)the rumours are completely without substance — los rumores no tienen ninguna base or ningún fundamento
b) (=profundity) (to book, plot, argument) enjundia f, sustancia fthere wasn't much substance in or to his lectures — sus conferencias no tenían mucha enjundia or sustancia
issues of substance — asuntos fundamentales or de importancia
c) (=gist, essence) [of speech, writing] esencia fthe dispute was about style not substance — la discusión fue sobre forma, no sobre fondo
what he is saying in substance is that... — en esencia, lo que está diciendo es que...
the Court agreed in substance with this argument — el tribunal estuvo de acuerdo con este argumento en lo esencial
d)a man/woman of substance — (=wealthy person) un hombre/una mujer de fortuna
2.CPDsubstance abuse N — abuso m de estupefacientes, toxicomanía f
substance abuser N — toxicómano(-a) m / f
* * *['sʌbstəns]1) c ( type of matter) sustancia f2) ua) (solid quality, content) sustancia f; ( of book) enjundia f, sustancia fthe two main issues of substance — los dos puntos fundamentales or esenciales
b) ( foundation) fundamento mc) ( main points)the substance — la sustancia, lo esencial
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14 SIC
1) Общая лексика: Постоянный комитет по интерпретации стандартов2) Компьютерная техника: Supply Installation and Commissioning, spatial interference cancellation3) Медицина: small intestine content, sample injection cup4) Американизм: Standard Industrial Code5) Спорт: Serious Injury Clan, Specializing In Competition6) Военный термин: Score Information Criterion, Security Intelligence Corps, Special Industry Code, Standard Industry Classifications, System Integration Configuration, System Integration Contractor, satellite information center, scientific information center, second-in-command, signal intelligence center, sonar information center, standard inspection criteria, station identification code, survey information center, systems integration contract, Subject Indicator Code (NATO message code)7) Техника: sonar intelligence center, station-identification code8) Шутливое выражение: Society Of Indigent Cattle9) Религия: Sisters In Christ, Soldiers In Christ10) Бухгалтерия: Severely Indebted Category11) Страхование: Standard Industry Code12) Биржевой термин: Securities Investment Company13) Оптика: semiconductor integrated circuit14) Сокращение: Senior Intelligence Committee (USA), Sno Info Conference, Standard Industrial Classification (a United States government system for classifying industries by a four-digit code which since 1997 is gradually being replaced by the 6 digit North American Industry Classification System, NAICS), Stepwise Improvement Classification (training method in Siemens OCR Adaptive Read system)15) Вычислительная техника: Subject Indicator Code, silicon integrated circuit17) Транспорт: Seat In Coach18) СМИ: Said In Context, Shared Image Creator, Stand In Context19) Аудит: Standing Interpretations Committee20) Образование: Spelled In Correctly, Spelling Is Correct21) Сетевые технологии: Standard Industrial Classification22) Полимеры: specific inductive capacity23) Программирование: Symbolic Instruction Code24) Автоматика: standard industry classification25) Безопасность: Secure Identification Chip26) Военно-политический термин: Special International Council27) Электротехника: simultaneous interchange capability28) Чат: Said In Content30) НАСА: Spacecraft Identification Code31) Библиотечное дело: Spelling In Context -
15 SiC
1) Общая лексика: Постоянный комитет по интерпретации стандартов2) Компьютерная техника: Supply Installation and Commissioning, spatial interference cancellation3) Медицина: small intestine content, sample injection cup4) Американизм: Standard Industrial Code5) Спорт: Serious Injury Clan, Specializing In Competition6) Военный термин: Score Information Criterion, Security Intelligence Corps, Special Industry Code, Standard Industry Classifications, System Integration Configuration, System Integration Contractor, satellite information center, scientific information center, second-in-command, signal intelligence center, sonar information center, standard inspection criteria, station identification code, survey information center, systems integration contract, Subject Indicator Code (NATO message code)7) Техника: sonar intelligence center, station-identification code8) Шутливое выражение: Society Of Indigent Cattle9) Религия: Sisters In Christ, Soldiers In Christ10) Бухгалтерия: Severely Indebted Category11) Страхование: Standard Industry Code12) Биржевой термин: Securities Investment Company13) Оптика: semiconductor integrated circuit14) Сокращение: Senior Intelligence Committee (USA), Sno Info Conference, Standard Industrial Classification (a United States government system for classifying industries by a four-digit code which since 1997 is gradually being replaced by the 6 digit North American Industry Classification System, NAICS), Stepwise Improvement Classification (training method in Siemens OCR Adaptive Read system)15) Вычислительная техника: Subject Indicator Code, silicon integrated circuit17) Транспорт: Seat In Coach18) СМИ: Said In Context, Shared Image Creator, Stand In Context19) Аудит: Standing Interpretations Committee20) Образование: Spelled In Correctly, Spelling Is Correct21) Сетевые технологии: Standard Industrial Classification22) Полимеры: specific inductive capacity23) Программирование: Symbolic Instruction Code24) Автоматика: standard industry classification25) Безопасность: Secure Identification Chip26) Военно-политический термин: Special International Council27) Электротехника: simultaneous interchange capability28) Чат: Said In Content30) НАСА: Spacecraft Identification Code31) Библиотечное дело: Spelling In Context -
16 sic
1) Общая лексика: Постоянный комитет по интерпретации стандартов2) Компьютерная техника: Supply Installation and Commissioning, spatial interference cancellation3) Медицина: small intestine content, sample injection cup4) Американизм: Standard Industrial Code5) Спорт: Serious Injury Clan, Specializing In Competition6) Военный термин: Score Information Criterion, Security Intelligence Corps, Special Industry Code, Standard Industry Classifications, System Integration Configuration, System Integration Contractor, satellite information center, scientific information center, second-in-command, signal intelligence center, sonar information center, standard inspection criteria, station identification code, survey information center, systems integration contract, Subject Indicator Code (NATO message code)7) Техника: sonar intelligence center, station-identification code8) Шутливое выражение: Society Of Indigent Cattle9) Религия: Sisters In Christ, Soldiers In Christ10) Бухгалтерия: Severely Indebted Category11) Страхование: Standard Industry Code12) Биржевой термин: Securities Investment Company13) Оптика: semiconductor integrated circuit14) Сокращение: Senior Intelligence Committee (USA), Sno Info Conference, Standard Industrial Classification (a United States government system for classifying industries by a four-digit code which since 1997 is gradually being replaced by the 6 digit North American Industry Classification System, NAICS), Stepwise Improvement Classification (training method in Siemens OCR Adaptive Read system)15) Вычислительная техника: Subject Indicator Code, silicon integrated circuit17) Транспорт: Seat In Coach18) СМИ: Said In Context, Shared Image Creator, Stand In Context19) Аудит: Standing Interpretations Committee20) Образование: Spelled In Correctly, Spelling Is Correct21) Сетевые технологии: Standard Industrial Classification22) Полимеры: specific inductive capacity23) Программирование: Symbolic Instruction Code24) Автоматика: standard industry classification25) Безопасность: Secure Identification Chip26) Военно-политический термин: Special International Council27) Электротехника: simultaneous interchange capability28) Чат: Said In Content30) НАСА: Spacecraft Identification Code31) Библиотечное дело: Spelling In Context -
17 substance
noun1) Stoff, der; Substanz, diethere is no substance in his claim/the rumour — seine Behauptung/das Gerücht entbehrt jeder Grundlage
in substance — im Wesentlichen
* * *1) (a material: Rubber is a tough, stretchy substance obtained from the juice of certain plants.) die Substanz2) (as a scientific term, an element, compound or mixture.) die Substanz* * *sub·stance[ˈsʌbstən(t)s]nchemical \substance Chemikalie forganic \substance organische Substanzpolluting \substances Umweltgifte pl2. (narcotic)\substance of a novel Gehalt m eines Romansthe book lacks \substance das Buch hat keine Substanzthere is no \substance in this allegation diese Behauptung entbehrt jeder Grundlagethe \substance of the conversation das Wesentliche der Unterhaltungin \substance im Wesentlichena man of \substance ein vermögender Mann* * *['sʌbstəns]n1) Substanz f, Materie f, Stoff mwhat is this substance? — was ist das für eine Substanz?
he rubbed a yellow substance on the wound — er strich eine gelbe Masse auf die Wunde
3) no pl (= weight, importance) Gewicht nt4) no pl* * *substance [ˈsʌbstəns] s1. Substanz f, Materie f, Stoff m, Masse f2. fig Substanz f:a) Wesen nc) Gehalt m:in substance im Wesentlichen;arguments of little substance wenig stichhaltige Argumente3. PHILa) Substanz f, Urgrund mb) Wesen n, Ding n4. Gegenständlichkeit f, Wirklichkeit f5. Vermögen n, Kapital n:a man of substance ein vermögender Mann* * *noun1) Stoff, der; Substanz, diethere is no substance in his claim/the rumour — seine Behauptung/das Gerücht entbehrt jeder Grundlage
* * *n.Inhalt -e m.Stoff -e m.Substanz -en f.Wesentliche n. -
18 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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19 processor
1) вчт. процессор4) метал. окалиноломатель5) кфт. проявочная машина6) вчт. программа обработки•-
airborn processor
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arithmetic processor
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array processor
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associative processor
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attached processor
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auxiliary processor
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back-end processor
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bit-slice processor
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central data processor
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central processor
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channel processor
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command processor
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communications processor
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communication processor
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compact processor
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console command processor
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content-addressable processor
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continuous processor
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control processor
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data processor
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database processor
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diagnostic processor
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diffusion transfer processor
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digital image processor
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digital signal processor
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digital video processor
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display processor
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Doppler processor
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dwell-time processor
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film processor
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fixed-point processor
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floating-point processor
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Fourier transform processor
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front-end processor
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gateway processor
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graphics processor
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graphic processor
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heat processor
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host processor
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image processor
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input/output processor
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instruction processor
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interface processor
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language processor
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macro processor
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maintenance processor
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master processor
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mathematical processor
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math processor
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matrix processor
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microblock part processor
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model processor
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network processor
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numerical processor
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off-line processor
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on-line processor
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outline processor
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page image processor
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peripheral processor
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photomask processor
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photopolymer plate processor
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pickle line processor
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picture processor
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pipelined processor
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pipeline processor
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plasma processor
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plate processor
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problem-oriented processor
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raster image processor
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scan-time processor
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scientific processor
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service processor
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signal processor
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simulation processor
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speech processor
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systolic processor
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target processor
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terminal processor
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text processor
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triple processor
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vector processor
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video processor
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virtual processor
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voice processor
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word processor
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word-oriented processor -
20 S
1) Общая лексика: воскресенье, имеющий форму буквы S, линия в виде буквы S (the river makes a great S - река прихотливо извивается), секция, суббота, улыбка, школа, юг, пика (масть в картах), S-образный3) Биология: Swedberg unit, serine4) Морской термин: Summer Seawater (летняя морская вода (отметка на борте судна))5) Медицина: Svedberg6) Спорт: Safe, Safety, Saved, Scrimmage, Senorita, Serve, Serving, Slant, Spoiler, Sport, Strike, Substitution7) Военный термин: Scenario, Shoot, Sir, South, Spineless, Submersible, Support, scout, seaman, seaplane, secret, security, sergeant, service, set, sharpshooter, shell, shelter, ship, squadron, staff, station, stock, submarine, survivability8) Техника: action, area, entropy, saturation degree, scattering coefficient, science, secondary electrode, sediment, sharp, shielded, signal, silicate, silt loam, simultaneous homing signal and/or voice, solenoid, solidus, sonar, sphere, spin quantum number, straight, sum of bases, supplementary, synchronism, synchronizer, гидравлический градиент, обозначение шестнадцатеричного кода, Ст ( стокс) (внесистемная единица вязкости, т.н. кинематическая вязкость 0,0001 м2/с)10) Шутливое выражение: Silly11) Химия: Saturating, сера12) Строительство: S-образная кривая, откос S-образного очертания13) Математика: Sin, значимый (significant), поверхность (surface), сторона (side)14) Религия: Sanctified, Sanctuary, Soul15) Метеорология: Sunshine17) Экономика: split18) Лингвистика: подлежащее, субъект19) Страхование: Shipping, Steamer, Summer freeboard mark, summer load line20) Биржевой термин: Sell, Shareholders21) Ветеринария: Snail23) Политика: South America24) Телекоммуникации: Subscriber, S reference point (ISDN)25) Сокращение: Saturday, Saxon, Scotland, Secret (security classification), Secret, Senate, September, Siemens (conductivity), Sierra (phonetic alphabet), Socialist, Sunday, Supplement, Time zone 82.5 W - 97.5 W (GMT +6), salinity, satellite, schilling, scientific, sea, search, section, senator, siemens, signor, silver, small, smiling, snow, soprano, sound, space, special, speed, stoke (viscosity), strategic, sulphur, supply, surplus27) Университет: Satisfactory, Scholarly, Student, Superior28) Физика: Short30) Вычислительная техника: switch31) Нефть: salite, saturation, shear wave, square, sulfur content, surface area32) Генетика: Единица Сведберга (характеризующая скорость седиментации частиц при центрифугировании), серин33) Картография: San, southern, spar, staging area, state34) Банковское дело: акционерный капитал (stock), акция (stock)39) Глоссарий компании Сахалин Энерджи: study41) Инвестиции: seal43) Полимеры: secondary, shearing force, side, silicone, soft, solid, solubility, soluble, solute, steric, sulfur, surface, symmetrical, unit stress45) Контроль качества: spare48) Макаров: См (единица электрической проводимости; сименс)50) Расширение файла: Assembly language source code file, Modula-3 Foreign assembly Source file, OS/2 Spreadsheet, Temporary sort file (Sprint)51) Электротехника: shunt-wound52) Имена и фамилии: Santa, Socrates, Superman55) NYSE. Sears, Roebuck, & Company56) Единицы измерений: Seconds, Slice, Sagans (Billions and Billions)57) СМС: These58) Международные перевозки: surcharge (rate classification)
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