-
41 The problem is hard to solve
Употребление прилагательных в конструкции со сложным подлежащимПрилагательные agreeable - приятный, amusing - забавный, boring - скучный, difficult - трудный, good - хороший, hard - трудный, easy - легкий, impossible - невозможный, nice - приятный, ready - готовый употребляются в конструкции со сложным подлежащим (Complex subject). Сложное подлежащее представляет собой оборот, состоящий из двух частей. Первая часть - это именная группа, включающая существительное либо местоимение в общем падеже, а вторая часть - инфинитив. Именная группа является логическим дополнением инфинитива.Например, сложным подлежащим предложения The book is easy to read - Эту книгу легко читать является оборот the book to read (Что является легким? Чтение книги является легким). В обороте the book to read именная группа the book является логическим дополнением инфинитива to read.Сложным подлежащим предложения The car is hard to get - Машину трудно достать является оборот the car to get (Что является трудным? Трудно достать машину). В обороте the car to get именная группа the car является логическим дополнением инфинитива to get.This game is amusing to play — В эту игру занятно играть
These apples are good to eat — Эти яблоки хороши на вкус
He is impossible to deal with — С ним невозможно иметь дело
English-Russian grammar dictionary > The problem is hard to solve
-
42 sexual complex
sexuellt komplex (problem att relatera till det andra könet, fixering i oidipusstadiet) -
43 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
-
44 hard
A adj1 [consistency, object, surface, skin, muscle, snow, butter, bread, ground, bed, pencil lead] dur ; [paint, wax, mud, glue] dur, durci ; to go ou grow ou become hard durcir ; to set hard [concrete, plaster etc] durcir complètement ; a hard frost une forte gelée ; frozen hard complètement gelé ; ⇒ hard lens ;2 (difficult, complex) [problem, question, puzzle] dur, difficile ; [choice] difficile, dur à faire ; [decision] difficile, dur à prendre ; (arduous, demanding) [task, study, training, climb] dur, difficile ; [bargaining, negotiations, fight] dur, serré ; I've had a hard day j'ai eu une dure journée ; a hard day's work/filming une dure journée de travail/de tournage ; to be hard to open/cut/find/read être dur or difficile à ouvrir/couper/trouver/lire ; it's a hard poem to translate c'est un poème difficile à traduire ; to be hard to please être exigeant ; it's hard to do c'est dur or difficile à faire ; it was hard not to laugh il était dur or difficile de ne pas rire ; his decision was hard for us to understand il était dur or difficile de comprendre sa décision, nous avions du mal à comprendre sa décision ; it is hard for sb to do sth il est difficile à or pour qn de faire qch ; it was hard for us to understand his decision il nous était difficile de comprendre sa décision, nous avions du mal à comprendre sa décision ; it's hard for old people to change their ways il est difficile pour les personnes âgées de changer leurs habitudes ; to find it hard to do sth avoir du mal à faire qch, trouver dur or difficile de faire qch ; to find sth hard to do trouver qch dur or difficile à faire ; it's hard to accept/believe on a du mal à accepter/croire (that que) ; I'm not afraid of hard work le travail ne me fait pas peur ; it was hard work ou going ça a été dur or difficile ; it's hard work doing sth c'est difficile or dur de faire qch ; it was hard work persuading her to sell c'était difficile or dur de la persuader de vendre ; I found the article rather hard going j'ai trouvé l'article plutôt ardu or difficile ; he made hard work of moving the table il a fait tout un plat ○ pour déplacer la table ; hard work never hurt ou killed anybody! le travail n'a jamais fait de mal à personne! ; it's too much like hard work c'est trop fatigant ; to be a hard worker [student, pupil, employee] être travailleur/-euse ; [manual worker] être dur à la tâche ; to do things the hard way se compliquer la tâche ; he got the job the hard way il a beaucoup travaillé pour en arriver là ; to find sth out ou learn sth the hard way apprendre qch à ses dépens ;3 (harsh, unpleasant) [life, childhood, year] difficile ; [blow, knock] fig dur, terrible ; [climate, winter] rude ; he has to learn to take the hard knocks il faut qu'il apprenne à encaisser ○ ; this is a hard world nous vivons dans un monde cruel or sans pitié ; to be hard on sb [person, court] être dur envers qn ; don't be so hard on yourself! ne sois pas si dur avec toi-même! ; this tax is very hard on the unemployed cet impôt frappe durement les chômeurs ; this print is hard on the eyes ces caractères ne ménagent pas la vue ; hard luck ou lines ○ GB! ( sympathetic) pas de chance! ; hard luck ou lines ○ GB ou cheese ○ GB! ( unsympathetic) tant pis pour toi!, manque de pot ○ ! ; to take a hard line adopter une attitude ferme (on sth à propos de qch ; with sb envers qn) ; it's a hard life gen, hum, iron la vie est dure ; it's a hard life being a millionaire iron c'est dur d'être (un) millionnaire ; no hard feelings! sans rancune! ; I bear her no hard feelings je ne lui en veux pas, je ne lui en tiens pas rancune ; these are hard times les temps sont durs ; to fall on hard times connaître des revers de fortune ; he's having a hard time (of it) il traverse une période difficile ; to have a hard time (of it) doing sth avoir du mal à faire qch ; to give sb a hard time ○ ( make things difficult) rendre la vie impossible à qn ; ( tell off) passer un savon ○ à qn ;4 (stern, cold) [person, voice, look, words] dur, sévère ; their hearts are hard ils ont le cœur dur ;5 ( forceful) [shove, push, knock] bon/bonne (before n) ; I gave the door a hard push j'ai poussé fortement la porte ;6 ( concrete) [evidence, proof] solide ; [facts] concret/-ète, solide ; [news] sérieux/-ieuse ; the paper that brings you the hard news le journal qui vous donne des nouvelles sérieuses ; the hard facts about sth la vérité sur qch ;8 ( strong) [drink, liquor] fort ; [drug] dur ; [pornography] hard ; to be a hard drinker boire des alcools forts ; a drop of the hard stuff ○ une goutte d'alcool (fort) ;9 Pol the hard left/right la gauche/droite (pure et) dure ;10 Chem [water] dur, calcaire ;11 Ling [consonant] dur ;B adv1 (strongly, energetically) [push, pull, punch, laugh, cry] fort ; [work] dur ; [study, think] sérieusement ; [rain] fort, à verse ; [snow] abondamment ; [look, listen] attentivement ; to hit sb/sth hard lit frapper qn/qch fort ; fig frapper qn/qch durement ; to be hard hit fig être durement frappé (by par) ; think hard! réfléchissez bien or sérieusement! ; to try hard ( intellectually) faire beaucoup d'efforts ; ( physically) essayer de toutes ses forces ; as hard as one can [run, try, push, pull, work] de toutes ses forces ; no matter how hard I try/work, I… j'ai beau essayer/travailler, je… ; to be hard at it ○ ou at work être en plein boulot ○ or travail ; she works ou drives her students very hard elle fait travailler très dur ses étudiants ; to take sth (very) hard prendre (très) mal qch ;2 ( with directions) turn hard left at the traffic lights aux feux tournez tout de suite à gauche ; go hard astern Naut machine arrière toute ; hard a-port/a-starboard Naut à babord/à tribord toute ;3 ( indicating proximity) hard behind juste derrière ; hard by† sth tout près de qch ; hard (up)on sth juste sur qch ; ⇒ heel.to play hard to get se faire désirer ; to be hard put to do avoir du mal à faire ; to be/feel hard done by être/se sentir brimé. -
45 Bibliography
■ Aitchison, J. (1987). Noam Chomsky: Consensus and controversy. New York: Falmer Press.■ Anderson, J. R. (1980). Cognitive psychology and its implications. San Francisco: W. H. Freeman.■ Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.■ Anderson, J. R. (1995). Cognitive psychology and its implications (4th ed.). New York: W. H. Freeman.■ Archilochus (1971). In M. L. West (Ed.), Iambi et elegi graeci (Vol. 1). Oxford: Oxford University Press.■ Armstrong, D. M. (1990). The causal theory of the mind. In W. G. Lycan (Ed.), Mind and cognition: A reader (pp. 37-47). Cambridge, MA: Basil Blackwell. (Originally published in 1981 in The nature of mind and other essays, Ithaca, NY: University Press).■ Atkins, P. W. (1992). Creation revisited. Oxford: W. H. Freeman & Company.■ Austin, J. L. (1962). How to do things with words. Cambridge, MA: Harvard University Press.■ Bacon, F. (1878). Of the proficience and advancement of learning divine and human. In The works of Francis Bacon (Vol. 1). Cambridge, MA: Hurd & Houghton.■ Bacon, R. (1928). Opus majus (Vol. 2). R. B. Burke (Trans.). Philadelphia, PA: University of Pennsylvania Press.■ Bar-Hillel, Y. (1960). The present status of automatic translation of languages. In F. L. Alt (Ed.), Advances in computers (Vol. 1). New York: Academic Press.■ Barr, A., & E. A. Feigenbaum (Eds.) (1981). The handbook of artificial intelligence (Vol. 1). Reading, MA: Addison-Wesley.■ Barr, A., & E. A. Feigenbaum (Eds.) (1982). The handbook of artificial intelligence (Vol. 2). Los Altos, CA: William Kaufman.■ Barron, F. X. (1963). The needs for order and for disorder as motives in creative activity. In C. W. Taylor & F. X. Barron (Eds.), Scientific creativity: Its rec ognition and development (pp. 153-160). New York: Wiley.■ Bartlett, F. C. (1932). Remembering: A study in experimental and social psychology. Cambridge: Cambridge University Press.■ Bartley, S. H. (1969). Principles of perception. London: Harper & Row.■ Barzun, J. (1959). The house of intellect. New York: Harper & Row.■ Beach, F. A., D. O. Hebb, C. T. Morgan & H. W. Nissen (Eds.) (1960). The neu ropsychology of Lashley. New York: McGraw-Hill.■ Berkeley, G. (1996). Principles of human knowledge: Three Dialogues. Oxford: Oxford University Press. (Originally published in 1710.)■ Berlin, I. (1953). The hedgehog and the fox: An essay on Tolstoy's view of history. NY: Simon & Schuster.■ Bierwisch, J. (1970). Semantics. In J. Lyons (Ed.), New horizons in linguistics. Baltimore: Penguin Books.■ Black, H. C. (1951). Black's law dictionary. St. Paul, MN: West Publishing.■ Bloom, A. (1981). The linguistic shaping of thought: A study in the impact of language on thinking in China and the West. Hillsdale, NJ: Erlbaum.■ Bobrow, D. G., & D. A. Norman (1975). Some principles of memory schemata. In D. G. Bobrow & A. Collins (Eds.), Representation and understanding: Stud ies in Cognitive Science (pp. 131-149). New York: Academic Press.■ Boden, M. A. (1977). Artificial intelligence and natural man. New York: Basic Books.■ Boden, M. A. (1981). Minds and mechanisms. Ithaca, NY: Cornell University Press.■ Boden, M. A. (1990a). The creative mind: Myths and mechanisms. London: Cardinal.■ Boden, M. A. (1990b). The philosophy of artificial intelligence. Oxford: Oxford University Press.■ Boden, M. A. (1994). Precis of The creative mind: Myths and mechanisms. Behavioral and brain sciences 17, 519-570.■ Boden, M. (1996). Creativity. In M. Boden (Ed.), Artificial Intelligence (2nd ed.). San Diego: Academic Press.■ Bolter, J. D. (1984). Turing's man: Western culture in the computer age. Chapel Hill, NC: University of North Carolina Press.■ Bolton, N. (1972). The psychology of thinking. London: Methuen.■ Bourne, L. E. (1973). Some forms of cognition: A critical analysis of several papers. In R. Solso (Ed.), Contemporary issues in cognitive psychology (pp. 313324). Loyola Symposium on Cognitive Psychology (Chicago 1972). Washington, DC: Winston.■ Bransford, J. D., N. S. McCarrell, J. J. Franks & K. E. Nitsch (1977). Toward unexplaining memory. In R. Shaw & J. D. Bransford (Eds.), Perceiving, acting, and knowing (pp. 431-466). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Breger, L. (1981). Freud's unfinished journey. London: Routledge & Kegan Paul.■ Brehmer, B. (1986). In one word: Not from experience. In H. R. Arkes & K. Hammond (Eds.), Judgment and decision making: An interdisciplinary reader (pp. 705-719). Cambridge: Cambridge University Press.■ Bresnan, J. (1978). A realistic transformational grammar. In M. Halle, J. Bresnan & G. A. Miller (Eds.), Linguistic theory and psychological reality (pp. 1-59). Cambridge, MA: MIT Press.■ Brislin, R. W., W. J. Lonner & R. M. Thorndike (Eds.) (1973). Cross- cultural research methods. New York: Wiley.■ Bronowski, J. (1977). A sense of the future: Essays in natural philosophy. P. E. Ariotti with R. Bronowski (Eds.). Cambridge, MA: MIT Press.■ Bronowski, J. (1978). The origins of knowledge and imagination. New Haven, CT: Yale University Press.■ Brown, R. O. (1973). A first language: The early stages. Cambridge, MA: Harvard University Press.■ Brown, T. (1970). Lectures on the philosophy of the human mind. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 330-387). New York: Random House/Modern Library.■ Bruner, J. S., J. Goodnow & G. Austin (1956). A study of thinking. New York: Wiley.■ Calvin, W. H. (1990). The cerebral symphony: Seashore reflections on the structure of consciousness. New York: Bantam.■ Campbell, J. (1982). Grammatical man: Information, entropy, language, and life. New York: Simon & Schuster.■ Campbell, J. (1989). The improbable machine. New York: Simon & Schuster.■ Carlyle, T. (1966). On heroes, hero- worship and the heroic in history. Lincoln: University of Nebraska Press. (Originally published in 1841.)■ Carnap, R. (1959). The elimination of metaphysics through logical analysis of language [Ueberwindung der Metaphysik durch logische Analyse der Sprache]. In A. J. Ayer (Ed.), Logical positivism (pp. 60-81) A. Pap (Trans). New York: Free Press. (Originally published in 1932.)■ Cassirer, E. (1946). Language and myth. New York: Harper and Brothers. Reprinted. New York: Dover Publications, 1953.■ Cattell, R. B., & H. J. Butcher (1970). Creativity and personality. In P. E. Vernon (Ed.), Creativity. Harmondsworth, England: Penguin Books.■ Caudill, M., & C. Butler (1990). Naturally intelligent systems. Cambridge, MA: MIT Press/Bradford Books.■ Chandrasekaran, B. (1990). What kind of information processing is intelligence? A perspective on AI paradigms and a proposal. In D. Partridge & R. Wilks (Eds.), The foundations of artificial intelligence: A sourcebook (pp. 14-46). Cambridge: Cambridge University Press.■ Charniak, E., & McDermott, D. (1985). Introduction to artificial intelligence. Reading, MA: Addison-Wesley.■ Chase, W. G., & H. A. Simon (1988). The mind's eye in chess. In A. Collins & E. E. Smith (Eds.), Readings in cognitive science: A perspective from psychology and artificial intelligence (pp. 461-493). San Mateo, CA: Kaufmann.■ Cheney, D. L., & R. M. Seyfarth (1990). How monkeys see the world: Inside the mind of another species. Chicago: University of Chicago Press.■ Chi, M.T.H., R. Glaser & E. Rees (1982). Expertise in problem solving. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (pp. 7-73). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Chomsky, N. (1957). Syntactic structures. The Hague: Mouton. Janua Linguarum.■ Chomsky, N. (1964). A transformational approach to syntax. In J. A. Fodor & J. J. Katz (Eds.), The structure of language: Readings in the philosophy of lan guage (pp. 211-245). Englewood Cliffs, NJ: Prentice-Hall.■ Chomsky, N. (1965). Aspects of the theory of syntax. Cambridge, MA: MIT Press.■ Chomsky, N. (1972). Language and mind (enlarged ed.). New York: Harcourt Brace Jovanovich.■ Chomsky, N. (1979). Language and responsibility. New York: Pantheon.■ Chomsky, N. (1986). Knowledge of language: Its nature, origin and use. New York: Praeger Special Studies.■ Churchland, P. (1979). Scientific realism and the plasticity of mind. New York: Cambridge University Press.■ Churchland, P. M. (1989). A neurocomputational perspective: The nature of mind and the structure of science. Cambridge, MA: MIT Press.■ Churchland, P. S. (1986). Neurophilosophy. Cambridge, MA: MIT Press/Bradford Books.■ Clark, A. (1996). Philosophical Foundations. In M. A. Boden (Ed.), Artificial in telligence (2nd ed.). San Diego: Academic Press.■ Clark, H. H., & T. B. Carlson (1981). Context for comprehension. In J. Long & A. Baddeley (Eds.), Attention and performance (Vol. 9, pp. 313-330). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Clarke, A. C. (1984). Profiles of the future: An inquiry into the limits of the possible. New York: Holt, Rinehart & Winston.■ Claxton, G. (1980). Cognitive psychology: A suitable case for what sort of treatment? In G. Claxton (Ed.), Cognitive psychology: New directions (pp. 1-25). London: Routledge & Kegan Paul.■ Code, M. (1985). Order and organism. Albany, NY: State University of New York Press.■ Collingwood, R. G. (1972). The idea of history. New York: Oxford University Press.■ Coopersmith, S. (1967). The antecedents of self- esteem. San Francisco: W. H. Freeman.■ Copland, A. (1952). Music and imagination. London: Oxford University Press.■ Coren, S. (1994). The intelligence of dogs. New York: Bantam Books.■ Cottingham, J. (Ed.) (1996). Western philosophy: An anthology. Oxford: Blackwell Publishers.■ Cox, C. (1926). The early mental traits of three hundred geniuses. Stanford, CA: Stanford University Press.■ Craik, K.J.W. (1943). The nature of explanation. Cambridge: Cambridge University Press.■ Cronbach, L. J. (1990). Essentials of psychological testing (5th ed.). New York: HarperCollins.■ Cronbach, L. J., & R. E. Snow (1977). Aptitudes and instructional methods. New York: Irvington. Paperback edition, 1981.■ Csikszentmihalyi, M. (1993). The evolving self. New York: Harper Perennial.■ Culler, J. (1976). Ferdinand de Saussure. New York: Penguin Books.■ Curtius, E. R. (1973). European literature and the Latin Middle Ages. W. R. Trask (Trans.). Princeton, NJ: Princeton University Press.■ D'Alembert, J.L.R. (1963). Preliminary discourse to the encyclopedia of Diderot. R. N. Schwab (Trans.). Indianapolis: Bobbs-Merrill.■ Dampier, W. C. (1966). A history of modern science. Cambridge: Cambridge University Press.■ Darwin, C. (1911). The life and letters of Charles Darwin (Vol. 1). Francis Darwin (Ed.). New York: Appleton.■ Davidson, D. (1970) Mental events. In L. Foster & J. W. Swanson (Eds.), Experience and theory (pp. 79-101). Amherst: University of Massachussetts Press.■ Davies, P. (1995). About time: Einstein's unfinished revolution. New York: Simon & Schuster/Touchstone.■ Davis, R., & J. J. King (1977). An overview of production systems. In E. Elcock & D. Michie (Eds.), Machine intelligence 8. Chichester, England: Ellis Horwood.■ Davis, R., & D. B. Lenat (1982). Knowledge- based systems in artificial intelligence. New York: McGraw-Hill.■ Dawkins, R. (1982). The extended phenotype: The gene as the unit of selection. Oxford: W. H. Freeman.■ deKleer, J., & J. S. Brown (1983). Assumptions and ambiguities in mechanistic mental models (1983). In D. Gentner & A. L. Stevens (Eds.), Mental modes (pp. 155-190). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Dennett, D. C. (1978a). Brainstorms: Philosophical essays on mind and psychology. Montgomery, VT: Bradford Books.■ Dennett, D. C. (1978b). Toward a cognitive theory of consciousness. In D. C. Dennett, Brainstorms: Philosophical Essays on Mind and Psychology. Montgomery, VT: Bradford Books.■ Dennett, D. C. (1995). Darwin's dangerous idea: Evolution and the meanings of life. New York: Simon & Schuster/Touchstone.■ Descartes, R. (1897-1910). Traite de l'homme. In Oeuvres de Descartes (Vol. 11, pp. 119-215). Paris: Charles Adam & Paul Tannery. (Originally published in 1634.)■ Descartes, R. (1950). Discourse on method. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1637.)■ Descartes, R. (1951). Meditation on first philosophy. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1641.)■ Descartes, R. (1955). The philosophical works of Descartes. E. S. Haldane and G.R.T. Ross (Trans.). New York: Dover. (Originally published in 1911 by Cambridge University Press.)■ Descartes, R. (1967). Discourse on method (Pt. V). In E. S. Haldane and G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 106-118). Cambridge: Cambridge University Press. (Originally published in 1637.)■ Descartes, R. (1970a). Discourse on method. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 181-200). Cambridge: Cambridge University Press. (Originally published in 1637.)■ Descartes, R. (1970b). Principles of philosophy. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 178-291). Cambridge: Cambridge University Press. (Originally published in 1644.)■ Descartes, R. (1984). Meditations on first philosophy. In J. Cottingham, R. Stoothoff & D. Murduch (Trans.), The philosophical works of Descartes (Vol. 2). Cambridge: Cambridge University Press. (Originally published in 1641.)■ Descartes, R. (1986). Meditations on first philosophy. J. Cottingham (Trans.). Cambridge: Cambridge University Press. (Originally published in 1641 as Med itationes de prima philosophia.)■ deWulf, M. (1956). An introduction to scholastic philosophy. Mineola, NY: Dover Books.■ Dixon, N. F. (1981). Preconscious processing. London: Wiley.■ Doyle, A. C. (1986). The Boscombe Valley mystery. In Sherlock Holmes: The com plete novels and stories (Vol. 1). New York: Bantam.■ Dreyfus, H., & S. Dreyfus (1986). Mind over machine. New York: Free Press.■ Dreyfus, H. L. (1972). What computers can't do: The limits of artificial intelligence (revised ed.). New York: Harper & Row.■ Dreyfus, H. L., & S. E. Dreyfus (1986). Mind over machine: The power of human intuition and expertise in the era of the computer. New York: Free Press.■ Edelman, G. M. (1992). Bright air, brilliant fire: On the matter of the mind. New York: Basic Books.■ Ehrenzweig, A. (1967). The hidden order of art. London: Weidenfeld & Nicolson.■ Einstein, A., & L. Infeld (1938). The evolution of physics. New York: Simon & Schuster.■ Eisenstein, S. (1947). Film sense. New York: Harcourt, Brace & World.■ Everdell, W. R. (1997). The first moderns. Chicago: University of Chicago Press.■ Eysenck, M. W. (1977). Human memory: Theory, research and individual difference. Oxford: Pergamon.■ Eysenck, M. W. (1982). Attention and arousal: Cognition and performance. Berlin: Springer.■ Eysenck, M. W. (1984). A handbook of cognitive psychology. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Fancher, R. E. (1979). Pioneers of psychology. New York: W. W. Norton.■ Farrell, B. A. (1981). The standing of psychoanalysis. New York: Oxford University Press.■ Feldman, D. H. (1980). Beyond universals in cognitive development. Norwood, NJ: Ablex.■ Fetzer, J. H. (1996). Philosophy and cognitive science (2nd ed.). New York: Paragon House.■ Finke, R. A. (1990). Creative imagery: Discoveries and inventions in visualization. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Flanagan, O. (1991). The science of the mind. Cambridge MA: MIT Press/Bradford Books.■ Fodor, J. (1983). The modularity of mind. Cambridge, MA: MIT Press/Bradford Books.■ Frege, G. (1972). Conceptual notation. T. W. Bynum (Trans.). Oxford: Clarendon Press. (Originally published in 1879.)■ Frege, G. (1979). Logic. In H. Hermes, F. Kambartel & F. Kaulbach (Eds.), Gottlob Frege: Posthumous writings. Chicago: University of Chicago Press. (Originally published in 1879-1891.)■ Freud, S. (1959). Creative writers and day-dreaming. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 9, pp. 143-153). London: Hogarth Press.■ Freud, S. (1966). Project for a scientific psychology. In J. Strachey (Ed.), The stan dard edition of the complete psychological works of Sigmund Freud (Vol. 1, pp. 295-398). London: Hogarth Press. (Originally published in 1950 as Aus den AnfaЁngen der Psychoanalyse, in London by Imago Publishing.)■ Freud, S. (1976). Lecture 18-Fixation to traumas-the unconscious. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 16, p. 285). London: Hogarth Press.■ Galileo, G. (1990). Il saggiatore [The assayer]. In S. Drake (Ed.), Discoveries and opinions of Galileo. New York: Anchor Books. (Originally published in 1623.)■ Gassendi, P. (1970). Letter to Descartes. In "Objections and replies." In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 2, pp. 179-240). Cambridge: Cambridge University Press. (Originally published in 1641.)■ Gazzaniga, M. S. (1988). Mind matters: How mind and brain interact to create our conscious lives. Boston: Houghton Mifflin in association with MIT Press/Bradford Books.■ Genesereth, M. R., & N. J. Nilsson (1987). Logical foundations of artificial intelligence. Palo Alto, CA: Morgan Kaufmann.■ Ghiselin, B. (1952). The creative process. New York: Mentor.■ Ghiselin, B. (1985). The creative process. Berkeley, CA: University of California Press. (Originally published in 1952.)■ Gilhooly, K. J. (1996). Thinking: Directed, undirected and creative (3rd ed.). London: Academic Press.■ Glass, A. L., K. J. Holyoak & J. L. Santa (1979). Cognition. Reading, MA: AddisonWesley.■ Goody, J. (1977). The domestication of the savage mind. Cambridge: Cambridge University Press.■ Gruber, H. E. (1980). Darwin on man: A psychological study of scientific creativity (2nd ed.). Chicago: University of Chicago Press.■ Gruber, H. E., & S. Davis (1988). Inching our way up Mount Olympus: The evolving systems approach to creative thinking. In R. J. Sternberg (Ed.), The nature of creativity: Contemporary psychological perspectives. Cambridge: Cambridge University Press.■ Guthrie, E. R. (1972). The psychology of learning. New York: Harper. (Originally published in 1935.)■ Habermas, J. (1972). Knowledge and human interests. Boston: Beacon Press.■ Hadamard, J. (1945). The psychology of invention in the mathematical field. Princeton, NJ: Princeton University Press.■ Hand, D. J. (1985). Artificial intelligence and psychiatry. Cambridge: Cambridge University Press.■ Harris, M. (1981). The language myth. London: Duckworth.■ Haugeland, J. (Ed.) (1981). Mind design: Philosophy, psychology, artificial intelligence. Cambridge, MA: MIT Press/Bradford Books.■ Haugeland, J. (1981a). The nature and plausibility of cognitivism. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 243-281). Cambridge, MA: MIT Press.■ Haugeland, J. (1981b). Semantic engines: An introduction to mind design. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 1-34). Cambridge, MA: MIT Press/Bradford Books.■ Haugeland, J. (1985). Artificial intelligence: The very idea. Cambridge, MA: MIT Press.■ Hawkes, T. (1977). Structuralism and semiotics. Berkeley: University of California Press.■ Hebb, D. O. (1949). The organisation of behaviour. New York: Wiley.■ Hebb, D. O. (1958). A textbook of psychology. Philadelphia: Saunders.■ Hegel, G.W.F. (1910). The phenomenology of mind. J. B. Baille (Trans.). London: Sonnenschein. (Originally published as Phaenomenologie des Geistes, 1807.)■ Heisenberg, W. (1958). Physics and philosophy. New York: Harper & Row.■ Hempel, C. G. (1966). Philosophy of natural science. Englewood Cliffs, NJ: PrenticeHall.■ Herman, A. (1997). The idea of decline in Western history. New York: Free Press.■ Herrnstein, R. J., & E. G. Boring (Eds.) (1965). A source book in the history of psy chology. Cambridge, MA: Harvard University Press.■ Herzmann, E. (1964). Mozart's creative process. In P. H. Lang (Ed.), The creative world of Mozart (pp. 17-30). London: Oldbourne Press.■ Hilgard, E. R. (1957). Introduction to psychology. London: Methuen.■ Hobbes, T. (1651). Leviathan. London: Crooke.■ Holliday, S. G., & M. J. Chandler (1986). Wisdom: Explorations in adult competence. Basel, Switzerland: Karger.■ Horn, J. L. (1986). In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 3). Hillsdale, NJ: Erlbaum.■ Hull, C. (1943). Principles of behavior. New York: Appleton-Century-Crofts.■ Hume, D. (1955). An inquiry concerning human understanding. New York: Liberal Arts Press. (Originally published in 1748.)■ Hume, D. (1975). An enquiry concerning human understanding. In L. A. SelbyBigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (Spelling and punctuation revised.) (Originally published in 1748.)■ Hume, D. (1978). A treatise of human nature. L. A. Selby-Bigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (With some modifications of spelling and punctuation.) (Originally published in 1690.)■ Hunt, E. (1973). The memory we must have. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language. (pp. 343-371) San Francisco: W. H. Freeman.■ Husserl, E. (1960). Cartesian meditations. The Hague: Martinus Nijhoff.■ Inhelder, B., & J. Piaget (1958). The growth of logical thinking from childhood to adolescence. New York: Basic Books. (Originally published in 1955 as De la logique de l'enfant a` la logique de l'adolescent. [Paris: Presses Universitaire de France])■ James, W. (1890a). The principles of psychology (Vol. 1). New York: Dover Books.■ James, W. (1890b). The principles of psychology. New York: Henry Holt.■ Jevons, W. S. (1900). The principles of science (2nd ed.). London: Macmillan.■ Johnson, G. (1986). Machinery of the mind: Inside the new science of artificial intelli gence. New York: Random House.■ Johnson-Laird, P. N. (1983). Mental models: Toward a cognitive science of language, inference, and consciousness. Cambridge, MA: Harvard University Press.■ Johnson-Laird, P. N. (1988). The computer and the mind: An introduction to cognitive science. Cambridge, MA: Harvard University Press.■ Jones, E. (1961). The life and work of Sigmund Freud. L. Trilling & S. Marcus (Eds.). London: Hogarth.■ Jones, R. V. (1985). Complementarity as a way of life. In A. P. French & P. J. Kennedy (Eds.), Niels Bohr: A centenary volume. Cambridge, MA: Harvard University Press.■ Kant, I. (1933). Critique of Pure Reason (2nd ed.). N. K. Smith (Trans.). London: Macmillan. (Originally published in 1781 as Kritik der reinen Vernunft.)■ Kant, I. (1891). Solution of the general problems of the Prolegomena. In E. Belfort (Trans.), Kant's Prolegomena. London: Bell. (With minor modifications.) (Originally published in 1783.)■ Katona, G. (1940). Organizing and memorizing: Studies in the psychology of learning and teaching. New York: Columbia University Press.■ Kaufman, A. S. (1979). Intelligent testing with the WISC-R. New York: Wiley.■ Koestler, A. (1964). The act of creation. New York: Arkana (Penguin).■ Kohlberg, L. (1971). From is to ought. In T. Mischel (Ed.), Cognitive development and epistemology. (pp. 151-235) New York: Academic Press.■ KoЁhler, W. (1925). The mentality of apes. New York: Liveright.■ KoЁhler, W. (1927). The mentality of apes (2nd ed.). Ella Winter (Trans.). London: Routledge & Kegan Paul.■ KoЁhler, W. (1930). Gestalt psychology. London: G. Bell.■ KoЁhler, W. (1947). Gestalt psychology. New York: Liveright.■ KoЁhler, W. (1969). The task of Gestalt psychology. Princeton, NJ: Princeton University Press.■ Kuhn, T. (1970). The structure of scientific revolutions (2nd ed.). Chicago: University of Chicago Press.■ Langer, E. J. (1989). Mindfulness. Reading, MA: Addison-Wesley.■ Langer, S. (1962). Philosophical sketches. Baltimore: Johns Hopkins University Press.■ Langley, P., H. A. Simon, G. L. Bradshaw & J. M. Zytkow (1987). Scientific dis covery: Computational explorations of the creative process. Cambridge, MA: MIT Press.■ Lashley, K. S. (1951). The problem of serial order in behavior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior, the Hixon Symposium (pp. 112-146) New York: Wiley.■ LeDoux, J. E., & W. Hirst (1986). Mind and brain: Dialogues in cognitive neuroscience. Cambridge: Cambridge University Press.■ Lehnert, W. (1978). The process of question answering. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Leiber, J. (1991). Invitation to cognitive science. Oxford: Blackwell.■ Lenat, D. B., & G. Harris (1978). Designing a rule system that searches for scientific discoveries. In D. A. Waterman & F. Hayes-Roth (Eds.), Pattern directed inference systems (pp. 25-52) New York: Academic Press.■ Levenson, T. (1995). Measure for measure: A musical history of science. New York: Touchstone. (Originally published in 1994.)■ Leґvi-Strauss, C. (1963). Structural anthropology. C. Jacobson & B. Grundfest Schoepf (Trans.). New York: Basic Books. (Originally published in 1958.)■ Levine, M. W., & J. M. Schefner (1981). Fundamentals of sensation and perception. London: Addison-Wesley.■ Lewis, C. I. (1946). An analysis of knowledge and valuation. LaSalle, IL: Open Court.■ Lighthill, J. (1972). A report on artificial intelligence. Unpublished manuscript, Science Research Council.■ Lipman, M., A. M. Sharp & F. S. Oscanyan (1980). Philosophy in the classroom. Philadelphia: Temple University Press.■ Lippmann, W. (1965). Public opinion. New York: Free Press. (Originally published in 1922.)■ Locke, J. (1956). An essay concerning human understanding. Chicago: Henry Regnery Co. (Originally published in 1690.)■ Locke, J. (1975). An essay concerning human understanding. P. H. Nidditch (Ed.). Oxford: Clarendon. (Originally published in 1690.) (With spelling and punctuation modernized and some minor modifications of phrasing.)■ Lopate, P. (1994). The art of the personal essay. New York: Doubleday/Anchor Books.■ Lorimer, F. (1929). The growth of reason. London: Kegan Paul. Machlup, F., & U. Mansfield (Eds.) (1983). The study of information. New York: Wiley.■ Manguel, A. (1996). A history of reading. New York: Viking.■ Markey, J. F. (1928). The symbolic process. London: Kegan Paul.■ Martin, R. M. (1969). On Ziff's "Natural and formal languages." In S. Hook (Ed.), Language and philosophy: A symposium (pp. 249-263). New York: New York University Press.■ Mazlish, B. (1993). The fourth discontinuity: the co- evolution of humans and machines. New Haven, CT: Yale University Press.■ McCarthy, J., & P. J. Hayes (1969). Some philosophical problems from the standpoint of artificial intelligence. In B. Meltzer & D. Michie (Eds.), Machine intelligence 4. Edinburgh: Edinburgh University Press.■ McClelland, J. L., D. E. Rumelhart & G. E. Hinton (1986). The appeal of parallel distributed processing. In D. E. Rumelhart, J. L. McClelland & the PDP Research Group (Eds.), Parallel distributed processing: Explorations in the mi crostructure of cognition (Vol. 1, pp. 3-40). Cambridge, MA: MIT Press/ Bradford Books.■ McCorduck, P. (1979). Machines who think. San Francisco: W. H. Freeman.■ McLaughlin, T. (1970). Music and communication. London: Faber & Faber.■ Mednick, S. A. (1962). The associative basis of the creative process. Psychological Review 69, 431-436.■ Meehl, P. E., & C. J. Golden (1982). Taxometric methods. In Kendall, P. C., & Butcher, J. N. (Eds.), Handbook of research methods in clinical psychology (pp. 127-182). New York: Wiley.■ Mehler, J., E.C.T. Walker & M. Garrett (Eds.) (1982). Perspectives on mental rep resentation: Experimental and theoretical studies of cognitive processes and ca pacities. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Mill, J. S. (1900). A system of logic, ratiocinative and inductive: Being a connected view of the principles of evidence and the methods of scientific investigation. London: Longmans, Green.■ Miller, G. A. (1979, June). A very personal history. Talk to the Cognitive Science Workshop, Cambridge, MA.■ Miller, J. (1983). States of mind. New York: Pantheon Books.■ Minsky, M. (1975). A framework for representing knowledge. In P. H. Winston (Ed.), The psychology of computer vision (pp. 211-277). New York: McGrawHill.■ Minsky, M., & S. Papert (1973). Artificial intelligence. Condon Lectures, Oregon State System of Higher Education, Eugene, Oregon.■ Minsky, M. L. (1986). The society of mind. New York: Simon & Schuster.■ Mischel, T. (1976). Psychological explanations and their vicissitudes. In J. K. Cole & W. J. Arnold (Eds.), Nebraska Symposium on motivation (Vol. 23). Lincoln, NB: University of Nebraska Press.■ Morford, M.P.O., & R. J. Lenardon (1995). Classical mythology (5th ed.). New York: Longman.■ Murdoch, I. (1954). Under the net. New York: Penguin.■ Nagel, E. (1959). Methodological issues in psychoanalytic theory. In S. Hook (Ed.), Psychoanalysis, scientific method, and philosophy: A symposium. New York: New York University Press.■ Nagel, T. (1979). Mortal questions. London: Cambridge University Press.■ Nagel, T. (1986). The view from nowhere. Oxford: Oxford University Press.■ Neisser, U. (1967). Cognitive psychology. New York: Appleton-Century-Crofts.■ Neisser, U. (1972). Changing conceptions of imagery. In P. W. Sheehan (Ed.), The function and nature of imagery (pp. 233-251). London: Academic Press.■ Neisser, U. (1976). Cognition and reality. San Francisco: W. H. Freeman.■ Neisser, U. (1978). Memory: What are the important questions? In M. M. Gruneberg, P. E. Morris & R. N. Sykes (Eds.), Practical aspects of memory (pp. 3-24). London: Academic Press.■ Neisser, U. (1979). The concept of intelligence. In R. J. Sternberg & D. K. Detterman (Eds.), Human intelligence: Perspectives on its theory and measurement (pp. 179-190). Norwood, NJ: Ablex.■ Nersessian, N. (1992). How do scientists think? Capturing the dynamics of conceptual change in science. In R. N. Giere (Ed.), Cognitive models of science (pp. 3-44). Minneapolis: University of Minnesota Press.■ Newell, A. (1973a). Artificial intelligence and the concept of mind. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 1-60). San Francisco: W. H. Freeman.■ Newell, A. (1973b). You can't play 20 questions with nature and win. In W. G. Chase (Ed.), Visual information processing (pp. 283-310). New York: Academic Press.■ Newell, A., & H. A. Simon (1963). GPS: A program that simulates human thought. In E. A. Feigenbaum & J. Feldman (Eds.), Computers and thought (pp. 279-293). New York & McGraw-Hill.■ Newell, A., & H. A. Simon (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.■ Nietzsche, F. (1966). Beyond good and evil. W. Kaufmann (Trans.). New York: Vintage. (Originally published in 1885.)■ Nilsson, N. J. (1971). Problem- solving methods in artificial intelligence. New York: McGraw-Hill.■ Nussbaum, M. C. (1978). Aristotle's Princeton University Press. De Motu Anamalium. Princeton, NJ:■ Oersted, H. C. (1920). Thermo-electricity. In Kirstine Meyer (Ed.), H. C. Oersted, Natuurvidenskabelige Skrifter (Vol. 2). Copenhagen: n.p. (Originally published in 1830 in The Edinburgh encyclopaedia.)■ Ong, W. J. (1982). Orality and literacy: The technologizing of the word. London: Methuen.■ Onians, R. B. (1954). The origins of European thought. Cambridge, MA: Cambridge University Press.■ Osgood, C. E. (1960). Method and theory in experimental psychology. New York: Oxford University Press. (Originally published in 1953.)■ Osgood, C. E. (1966). Language universals and psycholinguistics. In J. H. Greenberg (Ed.), Universals of language (2nd ed., pp. 299-322). Cambridge, MA: MIT Press.■ Palmer, R. E. (1969). Hermeneutics. Evanston, IL: Northwestern University Press.■ Peirce, C. S. (1934). Some consequences of four incapacities-Man, a sign. In C. Hartsborne & P. Weiss (Eds.), Collected papers of Charles Saunders Peirce (Vol. 5, pp. 185-189). Cambridge, MA: Harvard University Press.■ Penfield, W. (1959). In W. Penfield & L. Roberts, Speech and brain mechanisms. Princeton, NJ: Princeton University Press.■ Penrose, R. (1994). Shadows of the mind: A search for the missing science of conscious ness. Oxford: Oxford University Press.■ Perkins, D. N. (1981). The mind's best work. Cambridge, MA: Harvard University Press.■ Peterfreund, E. (1986). The heuristic approach to psychoanalytic therapy. In■ J. Reppen (Ed.), Analysts at work, (pp. 127-144). Hillsdale, NJ: Analytic Press.■ Piaget, J. (1952). The origin of intelligence in children. New York: International Universities Press. (Originally published in 1936.)■ Piaget, J. (1954). Le langage et les opeґrations intellectuelles. Proble` mes de psycho linguistique. Symposium de l'Association de Psychologie Scientifique de Langue Francёaise. Paris: Presses Universitaires de France.■ Piaget, J. (1977). Problems of equilibration. In H. E. Gruber & J. J. Voneche (Eds.), The essential Piaget (pp. 838-841). London: Routlege & Kegan Paul. (Originally published in 1975 as L'eґquilibration des structures cognitives [Paris: Presses Universitaires de France].)■ Piaget, J., & B. Inhelder. (1973). Memory and intelligence. New York: Basic Books.■ Pinker, S. (1994). The language instinct. New York: Morrow.■ Pinker, S. (1996). Facts about human language relevant to its evolution. In J.-P. Changeux & J. Chavaillon (Eds.), Origins of the human brain. A symposium of the Fyssen foundation (pp. 262-283). Oxford: Clarendon Press. Planck, M. (1949). Scientific autobiography and other papers. F. Gaynor (Trans.). New York: Philosophical Library.■ Planck, M. (1990). Wissenschaftliche Selbstbiographie. W. Berg (Ed.). Halle, Germany: Deutsche Akademie der Naturforscher Leopoldina.■ Plato (1892). Meno. In The Dialogues of Plato (B. Jowett, Trans.; Vol. 2). New York: Clarendon. (Originally published circa 380 B.C.)■ Poincareґ, H. (1913). Mathematical creation. In The foundations of science. G. B. Halsted (Trans.). New York: Science Press.■ Poincareґ, H. (1921). The foundations of science: Science and hypothesis, the value of science, science and method. G. B. Halstead (Trans.). New York: Science Press.■ Poincareґ, H. (1929). The foundations of science: Science and hypothesis, the value of science, science and method. New York: Science Press.■ Poincareґ, H. (1952). Science and method. F. Maitland (Trans.) New York: Dover.■ Polya, G. (1945). How to solve it. Princeton, NJ: Princeton University Press.■ Polanyi, M. (1958). Personal knowledge. London: Routledge & Kegan Paul.■ Popper, K. (1968). Conjectures and refutations: The growth of scientific knowledge. New York: Harper & Row/Basic Books.■ Popper, K., & J. Eccles (1977). The self and its brain. New York: Springer-Verlag.■ Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.■ Putnam, H. (1975). Mind, language and reality: Philosophical papers (Vol. 2). Cambridge: Cambridge University Press.■ Putnam, H. (1987). The faces of realism. LaSalle, IL: Open Court.■ Pylyshyn, Z. W. (1981). The imagery debate: Analog media versus tacit knowledge. In N. Block (Ed.), Imagery (pp. 151-206). Cambridge, MA: MIT Press.■ Pylyshyn, Z. W. (1984). Computation and cognition: Towards a foundation for cog nitive science. Cambridge, MA: MIT Press/Bradford Books.■ Quillian, M. R. (1968). Semantic memory. In M. Minsky (Ed.), Semantic information processing (pp. 216-260). Cambridge, MA: MIT Press.■ Quine, W.V.O. (1960). Word and object. Cambridge, MA: Harvard University Press.■ Rabbitt, P.M.A., & S. Dornic (Eds.). Attention and performance (Vol. 5). London: Academic Press.■ Rawlins, G.J.E. (1997). Slaves of the Machine: The quickening of computer technology. Cambridge, MA: MIT Press/Bradford Books.■ Reid, T. (1970). An inquiry into the human mind on the principles of common sense. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 151-178). New York: Random House/Modern Library.■ Reitman, W. (1970). What does it take to remember? In D. A. Norman (Ed.), Models of human memory (pp. 470-510). London: Academic Press.■ Ricoeur, P. (1974). Structure and hermeneutics. In D. I. Ihde (Ed.), The conflict of interpretations: Essays in hermeneutics (pp. 27-61). Evanston, IL: Northwestern University Press.■ Robinson, D. N. (1986). An intellectual history of psychology. Madison: University of Wisconsin Press.■ Rorty, R. (1979). Philosophy and the mirror of nature. Princeton, NJ: Princeton University Press.■ Rosch, E. (1977). Human categorization. In N. Warren (Ed.), Studies in cross cultural psychology (Vol. 1, pp. 1-49) London: Academic Press.■ Rosch, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 27-48). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Rosch, E., & B. B. Lloyd (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Rose, S. (1970). The chemistry of life. Baltimore: Penguin Books.■ Rose, S. (1976). The conscious brain (updated ed.). New York: Random House.■ Rose, S. (1993). The making of memory: From molecules to mind. New York: Anchor Books. (Originally published in 1992)■ Roszak, T. (1994). The cult of information: A neo- Luddite treatise on high- tech, artificial intelligence, and the true art of thinking (2nd ed.). Berkeley: University of California Press.■ Royce, J. R., & W. W. Rozeboom (Eds.) (1972). The psychology of knowing. New York: Gordon & Breach.■ Rumelhart, D. E. (1977). Introduction to human information processing. New York: Wiley.■ Rumelhart, D. E. (1980). Schemata: The building blocks of cognition. In R. J. Spiro, B. Bruce & W. F. Brewer (Eds.), Theoretical issues in reading comprehension. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Rumelhart, D. E., & J. L. McClelland (1986). On learning the past tenses of English verbs. In J. L. McClelland & D. E. Rumelhart (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 2). Cambridge, MA: MIT Press.■ Rumelhart, D. E., P. Smolensky, J. L. McClelland & G. E. Hinton (1986). Schemata and sequential thought processes in PDP models. In J. L. McClelland, D. E. Rumelhart & the PDP Research Group (Eds.), Parallel Distributed Processing (Vol. 2, pp. 7-57). Cambridge, MA: MIT Press.■ Russell, B. (1927). An outline of philosophy. London: G. Allen & Unwin.■ Russell, B. (1961). History of Western philosophy. London: George Allen & Unwin.■ Russell, B. (1965). How I write. In Portraits from memory and other essays. London: Allen & Unwin.■ Russell, B. (1992). In N. Griffin (Ed.), The selected letters of Bertrand Russell (Vol. 1), The private years, 1884- 1914. Boston: Houghton Mifflin. Ryecroft, C. (1966). Psychoanalysis observed. London: Constable.■ Sagan, C. (1978). The dragons of Eden: Speculations on the evolution of human intel ligence. New York: Ballantine Books.■ Salthouse, T. A. (1992). Expertise as the circumvention of human processing limitations. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.■ Sanford, A. J. (1987). The mind of man: Models of human understanding. New Haven, CT: Yale University Press.■ Sapir, E. (1921). Language. New York: Harcourt, Brace, and World.■ Sapir, E. (1964). Culture, language, and personality. Berkeley: University of California Press. (Originally published in 1941.)■ Sapir, E. (1985). The status of linguistics as a science. In D. G. Mandelbaum (Ed.), Selected writings of Edward Sapir in language, culture and personality (pp. 160166). Berkeley: University of California Press. (Originally published in 1929).■ Scardmalia, M., & C. Bereiter (1992). Literate expertise. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.■ Schafer, R. (1954). Psychoanalytic interpretation in Rorschach testing. New York: Grune & Stratten.■ Schank, R. C. (1973). Identification of conceptualizations underlying natural language. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 187-248). San Francisco: W. H. Freeman.■ Schank, R. C. (1976). The role of memory in language processing. In C. N. Cofer (Ed.), The structure of human memory. (pp. 162-189) San Francisco: W. H. Freeman.■ Schank, R. C. (1986). Explanation patterns: Understanding mechanically and creatively. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Schank, R. C., & R. P. Abelson (1977). Scripts, plans, goals, and understanding. Hillsdale, NJ: Lawrence Erlbaum Associates.■ SchroЁdinger, E. (1951). Science and humanism. Cambridge: Cambridge University Press.■ Searle, J. R. (1981a). Minds, brains, and programs. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 282-306). Cambridge, MA: MIT Press.■ Searle, J. R. (1981b). Minds, brains and programs. In D. Hofstadter & D. Dennett (Eds.), The mind's I (pp. 353-373). New York: Basic Books.■ Searle, J. R. (1983). Intentionality. New York: Cambridge University Press.■ Serres, M. (1982). The origin of language: Biology, information theory, and thermodynamics. M. Anderson (Trans.). In J. V. Harari & D. F. Bell (Eds.), Hermes: Literature, science, philosophy (pp. 71-83). Baltimore: Johns Hopkins University Press.■ Simon, H. A. (1966). Scientific discovery and the psychology of problem solving. In R. G. Colodny (Ed.), Mind and cosmos: Essays in contemporary science and philosophy (pp. 22-40). Pittsburgh: University of Pittsburgh Press.■ Simon, H. A. (1979). Models of thought. New Haven, CT: Yale University Press.■ Simon, H. A. (1989). The scientist as a problem solver. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert Simon. Hillsdale, N.J.: Lawrence Erlbaum Associates.■ Simon, H. A., & C. Kaplan (1989). Foundations of cognitive science. In M. Posner (Ed.), Foundations of cognitive science (pp. 1-47). Cambridge, MA: MIT Press.■ Simonton, D. K. (1988). Creativity, leadership and chance. In R. J. Sternberg (Ed.), The nature of creativity. Cambridge: Cambridge University Press.■ Skinner, B. F. (1974). About behaviorism. New York: Knopf.■ Smith, E. E. (1988). Concepts and thought. In J. Sternberg & E. E. Smith (Eds.), The psychology of human thought (pp. 19-49). Cambridge: Cambridge University Press.■ Smith, E. E. (1990). Thinking: Introduction. In D. N. Osherson & E. E. Smith (Eds.), Thinking. An invitation to cognitive science. (Vol. 3, pp. 1-2). Cambridge, MA: MIT Press.■ Socrates. (1958). Meno. In E. H. Warmington & P. O. Rouse (Eds.), Great dialogues of Plato W.H.D. Rouse (Trans.). New York: New American Library. (Original publication date unknown.)■ Solso, R. L. (1974). Theories of retrieval. In R. L. Solso (Ed.), Theories in cognitive psychology. Potomac, MD: Lawrence Erlbaum Associates.■ Spencer, H. (1896). The principles of psychology. New York: Appleton-CenturyCrofts.■ Steiner, G. (1975). After Babel: Aspects of language and translation. New York: Oxford University Press.■ Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Sternberg, R. J. (1994). Intelligence. In R. J. Sternberg, Thinking and problem solving. San Diego: Academic Press.■ Sternberg, R. J., & J. E. Davidson (1985). Cognitive development in gifted and talented. In F. D. Horowitz & M. O'Brien (Eds.), The gifted and talented (pp. 103-135). Washington, DC: American Psychological Association.■ Storr, A. (1993). The dynamics of creation. New York: Ballantine Books. (Originally published in 1972.)■ Stumpf, S. E. (1994). Philosophy: History and problems (5th ed.). New York: McGraw-Hill.■ Sulloway, F. J. (1996). Born to rebel: Birth order, family dynamics, and creative lives. New York: Random House/Vintage Books.■ Thorndike, E. L. (1906). Principles of teaching. New York: A. G. Seiler.■ Thorndike, E. L. (1970). Animal intelligence: Experimental studies. Darien, CT: Hafner Publishing Co. (Originally published in 1911.)■ Titchener, E. B. (1910). A textbook of psychology. New York: Macmillan.■ Titchener, E. B. (1914). A primer of psychology. New York: Macmillan.■ Toulmin, S. (1957). The philosophy of science. London: Hutchinson.■ Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organisation of memory. London: Academic Press.■ Turing, A. (1946). In B. E. Carpenter & R. W. Doran (Eds.), ACE reports of 1946 and other papers. Cambridge, MA: MIT Press.■ Turkle, S. (1984). Computers and the second self: Computers and the human spirit. New York: Simon & Schuster.■ Tyler, S. A. (1978). The said and the unsaid: Mind, meaning, and culture. New York: Academic Press.■ van Heijenoort (Ed.) (1967). From Frege to Goedel. Cambridge: Harvard University Press.■ Varela, F. J. (1984). The creative circle: Sketches on the natural history of circularity. In P. Watzlawick (Ed.), The invented reality (pp. 309-324). New York: W. W. Norton.■ Voltaire (1961). On the Penseґs of M. Pascal. In Philosophical letters (pp. 119-146). E. Dilworth (Trans.). Indianapolis: Bobbs-Merrill.■ Wagman, M. (1991a). Artificial intelligence and human cognition: A theoretical inter comparison of two realms of intellect. Westport, CT: Praeger.■ Wagman, M. (1991b). Cognitive science and concepts of mind: Toward a general theory of human and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1993). Cognitive psychology and artificial intelligence: Theory and re search in cognitive science. Westport, CT: Praeger.■ Wagman, M. (1995). The sciences of cognition: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1996). Human intellect and cognitive science: Toward a general unified theory of intelligence. Westport, CT: Praeger.■ Wagman, M. (1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.■ Wagman, M. (1998b). Language and thought in humans and computers: Theory and research in psychology, artificial intelligence, and neural science. Westport, CT: Praeger.■ Wagman, M. (1998c). The ultimate objectives of artificial intelligence: Theoretical and research foundations, philosophical and psychological implications. Westport, CT: Praeger.■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.■ Wagman, M. (2000). Scientific discovery processes in humans and computers: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.■ Weisberg, R. W. (1986). Creativity: Genius and other myths. New York: W. H. Freeman.■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifflin.■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.■ Winston, P. H. (Ed.) (1975). The psychology of computer vision. New York: McGrawHill.■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
-
46 knotty
1) (containing knots.) nudoso2) ((of a problem etc) difficult: a knotty problem.) espinosotr['nɒtɪ]1 nudoso,-a2 (problem) difícil, espinoso,-a1) gnarled: nudoso2) complex: espinoso, enredado, complejoadj.• complicado, -a adj.• difícil adj.• nudoso, -a adj.'nɑːti, 'nɒtiadjective -tier, -tiesta) < problem> enredado, espinosob) < wood> nudoso['nɒtɪ]ADJ (compar knottier) (superl knottiest) [wood] nudoso; (fig) [problem] espinoso* * *['nɑːti, 'nɒti]adjective -tier, -tiesta) < problem> enredado, espinosob) < wood> nudoso -
47 complexity
noun* * *[kəm'pleksəti]1) (the quality of being complex.) die Vielfalt2) (something complex.) die Schwierigkeit* * *com·plex·ity[kəmˈpleksəti, AM -ət̬i]n* * *[kəm'pleksItɪ]nKomplexität f; (of person, mind, issue, question, problem, poem also) Vielschichtigkeit f; (of theory, task, system also, machine, pattern) Differenziertheit f, Kompliziertheit f* * *complexity [kəmˈpleksətı] scomplexity theory Komplexitätstheorie f2. (etwas) Komplexes* * *noun* * *n.Komplexität f.Umfang -¨e m. -
48 variable
1) переменная (величина) || переменный2) изменчивый3) изменяемый; варьируемый4) регулируемый•variable unrestricted in sign — переменная, не ограниченная в знаке
- absolutely integrable variable - anonymous free variable - complex free variable - complex random variable - discontinuous variable - discrete random variable - discrete variable variable - discrete variable - essentially free variable - excessive random variable - exchangeable random variables - generalized random variable - geometric random variable - infinitesimal random variable - jointly normal random variables - linguistic random variable - multinomial random variable - multinormal random variable - multiplicative random variable - mutually independent random variables - nonanticipative random variable - normed random variable - number variable - optimal stopping variable - orthonormal random variables - pairwise independent random variables - spatial variable - symmetrized random variable - two-state variable - two-valued variable - uniformly limited variableto separate variables — мат. разделять переменные
-
49 hang-up
-
50 difficult
adjective1) schwer; schwierigmake things difficult for somebody — es jemandem nicht leicht machen
2) (unaccommodating) schwierighe is being difficult — er macht Schwierigkeiten
he is difficult to get on with — es ist schwer, mit ihm auszukommen
* * *['difikəlt]1) (hard to do or understand; not easy: difficult sums; a difficult task; It is difficult to know what to do for the best.) schwierig2) (hard to deal with or needing to be treated etc in a special way: a difficult child.) schwierig•- academic.ru/20391/difficulty">difficulty* * *dif·fi·cult[ˈdɪfɪkəlt]1. (not easy) examination, language, task schwierig, schwer; case, problem, situation schwierig; choice, decision schwerthis problem is \difficult to deal with dieses Problem ist schwer in den Griff zu bekommenit was \difficult for her to say goodbye es fiel ihr schwer, sich zu verabschieden\difficult climb schwieriger Aufstieg\difficult labour schwere Geburtto find it \difficult to do sth es schwer finden, etw zu tun3. (not easy to please) schwierigthe manager is \difficult to deal with mit dem Manager ist nicht gut Kirschen essen fam* * *['dIfIkəlt]adjthere's nothing difficult about it — das ist doch gar nicht schwer
the difficult thing is that... — die Schwierigkeit liegt darin, dass...
it was a difficult decision to make —
it is not difficult to imagine — es ist nicht schwer, sich (dat) das vorzustellen
it was difficult for him to leave her — es fiel ihm schwer, sie zu verlassen
it's difficult for youngsters or youngsters find it difficult to get a job — junge Leute haben Schwierigkeiten, eine Stelle zu finden
it's difficult to see what they could have done — es lässt sich schwer vorstellen, was sie hätten tun können
he's difficult to get on with —
it's difficult being a man today — es ist schwer, heute ein Mann zu sein
to make it difficult for sb (to do sth) — es jdm nicht leicht machen(, etw zu tun)
to have a difficult time ( doing sth) — Schwierigkeiten haben(, etw zu tun)
she's having a difficult time now she's on her own — jetzt, wo sie allein ist, hat sie es schwer
to put sb in a difficult position — jdn in eine schwierige Lage bringen
2) (= awkward) person, child schwierigto be difficult (about sth) —
he's just trying to be difficult — er will nur Schwierigkeiten machen
* * *1. schwierig, schwer ( beide:for für):it was quite difficult for me to ignore his rudeness es fiel mir schwer, seine Unverschämtheit zu ignorieren2. schwierig (Person)* * *adjective1) schwer; schwierighe finds it difficult to do something — ihm fällt es schwer, etwas zu tun
2) (unaccommodating) schwierighe is difficult to get on with — es ist schwer, mit ihm auszukommen
* * *adj.diffizil adj.schwer adj.schwierig adj. -
51 root cause analysis
Gen Mgta technique used in problem solving to identify the underlying reason why something has gone wrong or why a difficulty has arisen. The root cause of a problem may be identified by repeatedly asking the question “Why?”, by examining relationships of cause and effect, or by defining the distinctive features of the problem and developing a number of hypotheses that can be tested. Root cause analysis has been criticized on the grounds that it presupposes a single source for a problem, while in reality the situation may be more complex. -
52 structure
1) конструкция; строение; структура || структурировать2) сооружение, здание; строительная конструкция3) состав4) текстура5) геол. формация•- finitely generated structure - fish protection structure - locally convex structure - recursively presentable structure - redundant logical structure - strictly finer structure - strongly undecidable structure - weakly saturated structure -
53 Ideas
I never wrote or concluded that the mind required innate ideas which were in some sort different from its faculty of thinking; but when I observed the existence in me of certain thoughts which proceeded, not from extraneous objects nor from the determination of my will, but solely from the faculty of thinking which is within me, then... I termed [these] "innate." (Descartes, 1955, p. 442)[S]imple ideas are not fictions of our fancies, but the natural and regular productions of things without us really operating upon us.... Thus, the idea of whiteness or bitterness, as it is in the mind, exactly answering that power which is in any body to produce it there, has all the real conformity it can or ought to have with things without us.... [However], all our complex ideas except those of substances being archetypes of the mind's own making, not intended to be the copies of anything, as to their originals, cannot want any conformity necessary to real knowledge. For that which is not designed to represent anything but itself, can never be capable of a wrong representation, nor mislead us from the true apprehension of anything by its dislikeness to it; and such, excepting those of substances, are all our complex ideas: which... are combinations of ideas which the mind by its free choice puts together without considering any connection they have in nature. (Locke, 1956, B. IV, Chap. 4, Sec. 5)[O]ur moral ideas as well as mathematical, being archetypes themselves, and so adequate and complete ideas, all the agreement or disagreement which we shall find in them will produce real knowledge, as well as in mathematical figures. (Locke, 1956, B. IV, Chap. 4, Sec. 7)Ideas... are real things, or do really exist; this we do not deny, but we deny they can subsist without the minds which perceive them, or that they are resemblances of any archetypes existing without the mind; since the very being of a sensation or idea consists in being perceived, and an idea can be like nothing but an idea. (Berkeley, 1996, Pt. I, No. 90, pp. 63-64)The empiricists were right to believe that facts and ideas are significantly connected, but they inverted the relationship. Ideas create information, not the other way around. Every fact grows from an idea; it is the answer to a question we could not ask in the first place if an idea had not been invented which isolated some portion of the world, made it important, focused our attention, and stimulated inquiry. (Roszak, 1994, p. 105)Historical dictionary of quotations in cognitive science > Ideas
-
54 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
-
55 number
ˈnʌmbə
1. сущ.
1) а) мат. число;
сумма, цифра;
австрал. арифметика high number ≈ большое число low number ≈ небольшое число algebraic number complex number compound number decimal number even number imaginary number infinite number irrational number mass number mixed number natural number negative number odd number positive number prime number quantum number whole number science of numbers б) количество, число to decrease, reduce a number ≈ сокращать число, уменьшать количество to increase a number ≈ увеличивать число, увеличивать количество to reduce the number of traffic accidents ≈ сокращать число дорожно-транспортных происшествий large number ≈ большое число small number ≈ небольшое число in great numbers approximate number round number certain number enormous number untold number growing number a number of in numbers out of number without number Numbers Syn: quantity в) номер( какого-л. объекта;
также предмет, на котором написан, вырезан и т.д. номер) to call, dial a number ≈ набирать номер, звонить lucky number ≈ счастливый номер, счастливое число serial number( of a product) ≈ серийный номер (продукта) serial number (of a soldier) ≈ личный номер (солдата) telephone number ≈ телефонный номер unlisted number ≈ номер телефона, не внесенный в телефонную книгу winning number (of a lottery) ≈ выигрышный номер (в лотерее) get the wrong number call number motorcar's number Number 10
2) а) номер, пункт( в программе какого-л. действа) б) номер, выпуск, экземпляр( чего-л. периодического и т. п.) the daily number ≈ выпуск газеты, выходящий ежедневно back number в) разг. что-л. выделяющееся, могущее служить образцом г) элемент оглавления, списка;
часть музыкального произведения
3) а) грам. число б) грам. числительное cardinal number ordinal number Syn: numeral
4) редк. ритм, размер (стихотворный) ;
перен. мн. стихи ∙ his number goes up ≈ он умирает, его песенка спета, ему крышка number one number two get one's number take one's number have one's number
2. гл.
1) а) нумеровать;
считать, пересчитывать( о людях, реже о предметах) His days are numbered. ≈ Его дни сочтены. Mussulmans consider every attempt to number the people as a mark of great impiety. ≈ Мусульмане считают любую попытку пересчитать людей как признак нечестивости. Syn: enumerate;
count б) воен. рассчитываться to number off ≈ делать перекличку по номерам
2) а) числиться, быть в числе (among, in) I am proud to number her among my friends. ≈ Я горд, что я ее друг. Syn: count>, reckon, class б) зачислять, причислять be numbered with Syn: rank
3) насчитывать The crew and passengers numbered
33.. ≈ Команда плюс пассажиры, тридцать три человека. Syn: equal, amount
4) прожить столько-то лет число, количество - livestock *s поголовье скота - * of copies (полиграфия) тираж - in * численно, числом - they are twenty in * их двадцать - we were few in * нас было мало - to the * of 10,000 в добровольцы записалось до 10 000 человек - a large * много - a large * of people масса народу - a limited * of cars is available поступило в продажу некоторое количество автомашин - quite a * of people довольно многие (люди) - out of * бесчисленное множество;
несть числа - times without * бесчисленное множество раз - any * любое количество;
много - I have shown him any * of kindnesses я оказывал ему множество любезностей - many people, myself among the *, think that... многие люди, и я в том числе, думают, что... - he is not of our * он не принадлежит к нашему кругу - given equal *s we should be stronger при одинаковой численности мы должны быть сильнее некоторое количество, ряд - a * of people некоторые( люди) ;
кое-кто - a * of accidents always occur on slippery roadways на скользкой мостовой всегда происходят несчастные случаи - a * of books is missing from the library из библиотеки пропал ряд книг большое число, масса - in *s в большом количестве;
значительными силами - in superior *s (военное) превосходящей численностью - *s of people came to see the exhibition посмотреть выставку пришла масса народу - to win by *s победить благодаря численному превосходству - to be overpowered by *s, to yield to *s отступить перед превосходящими силами (военное) количество вооружений - actual * фактическое количество - aggregate * суммарное количетсво - agreed * согласованное количество (порядковый) номер - index * порядковый номер - registration * инвентарный номер - reference * (официальное) номер для ссылок;
номер заказа - code * (телефония) номер по телеграфному коду - wrond *! вы не туда попали! (ответ по телефону) - atomic * атомный номер( в таблице Менделеева) - call * шифр( карты, книги) - the * of a house номер дома - * of the piece crew (военное) номер орудийного расчета - to take the driver's * записать номер такси номер (дома) (употр. в сокр. форме No) - he lives at No. 18 он живет в доме N 18 - he lives in No. 4 он живет в четвертом номере (гостиницы) номер, выпуск (издания) - back * старый номер (газеты) ;
нечто устаревшее;
отсталый человек - to feel oneself a back * чувствовать, что отстал от жизни - the current * of a magazine последний номер журнала - a story issued in *s роман, выходящий отдельными выпусками номер программы, выступление - the first * on the program первый номер программы - she sang several *s from the opera она спела несколько арий из этой оперы (разговорное) что-л. выделяющееся, бросающееся в глаза - this hat is a smart * эта шляпка - верх изящества - he is a sly * он большой хитрец( разговорное) девушка, девчонка - blonde * блондиночка (американизм) ежедневная нелегальная лотерея (ставки делаются на цифры в статистических таблицах и т. п., помещаемых в газетах) (американизм) мошенничество, жульничество (сленг) наркотик - * 3 кокаин - * 8 героин - * 13 морфин позывные сумма, цифра;
число - binary * двоичное число - broken * дробь - intact * целое число - Roman *s римские цифры - artificial *s логарифмы - in round *s в круглых цифрах;
примерно;
короче говоря арифметика - he has skill in *s он силен в арифметике (грамматика) число - plural * множественное число( специальное) показатель, число - gloss * (текстильное) показатель блеска - acid * кислотное число, коэффициент кислотности - solubility * показатель растворимости - elevation * высотная отметка - scale * знаменатель масштаба - weight * весовой коэффициент (в статистике) - base * (информатика) основной индекс( классификации) - * of dimension размерность - * in a scale (метеорология) балл( силы ветра) (стихосложение) (музыкальное) метр, размер;
ритм стихи - mournful *s унылые строфы > No. 10 (Downing Street) резиденция премьер-министра Великобритании > smb.'s * goes up чье-л. дело плохо, кому-л. крышка, чья-л. песенка спета > to lose the * of one's mess (военное) (жаргон) "сняться с довольствия" (т. е. умереть) > to get smb.'s * (американизм) (сленг) раскусить кого-л > to do a * on smb. (американизм) (сленг) морочить, ловко обработать кого-л;
высмеивать кого-л.;
издеваться над кем-л;
заигрывать с кем-л > to do a * on smb.'s head заморочить кому-л. голову > to have smb.'s * on it (американизм) (сленг) быть специально предназначенным для кого-л. (о пуле) > opposite * (математика) противолежащий нумеровать - *ed copy нумерованный экземпляр (книги) - to * houses нумеровать дома - * the questins from 1 to 10 перенумеруйте вопросы от первого до десятого насчитывать - we *ed twenty in all всего нас было двадцать человек - the population *s 1000 население составляет 1000 человек - he *s fourscore years ему перевалило за восемьдесят - those present *ed fifty присутствующих насчитывалось пятьдесят человек - they * in hundreds их число доходит до нескольких сотен причислять, зачислять;
числить (кем-л, чем-л.) - to be *ed with the saints быть причисленным к лику святых - I * Thomas among my friends я причисляю Томаса к своим друзьям - Julius Caesar is *ed among the greatest captains of all ages Юлия Цезаря считают одним из величайших полководцев всех времен - this painting is *ed among the treasures of the gallery это полотно относится к числу сокровиц галереи (книжное) считать, пересчитывать - his days are *ed дни его сочтены - who can * the stars? кто сочтет звезды?;
кто знает, сколько на небе звезд? (военное) производить расчет - by twos, *! на первый-второй - рассчитайсь! (команда) - * (off) ! по порядку номеров - рассчитайсь! (команда) absolute ~ вчт. неименованное число abstract ~ вчт. неименованное число account ~ номер счета account ~ вчт. учетный номер actual ~ вчт. фактическое число application ~ пат. номер заявки arithmetic ~ вчт. арифметическое число assembly ~ вчт. шифр комплекта average sample ~ средний объем выборки base ~ вчт. основание системы счисления basic ~ базисная величина ~ причислять, зачислять;
to be numbered with быть причисленным к binary decimal ~ вчт. двоично-десятичное число binary ~ вчт. двоичное число binary-coded decimal ~ вчт. двоично-кодированное десятичное число binary-coded ~ вчт. двоично-кодированное число block ~ вчт. номер блока book ~ учетный номер книги ~ номер;
motorcar's number номер автомашины;
call number шифр (книги, пленки и т. п.) call ~ вызываемый номер call ~ вчт. вызывающий параметр cardinal ~ мат. кардинальное число cardinal ~ количественное числительное catalogue ~ каталожный номер check ~ вчт. контрольное число column ~ вчт. номер столбца commercial register ~ номер коммерческой фирмы в регистре register: commercial ~ number (for tax and VAT collection purposes) номер коммерческой фирмы в регистре (для налогообложения и сбора налога на добавленную стоимость) customer account ~ номер счета клиента cylinder ~ вчт. номер цилиндра danger ~ категория риска decimal ~ десятичное число device ~ вчт. номер устройства double-precision ~ вчт. число с двойной точностью error ~ вчт. номер ошибки extension ~ добавочный номер file ~ номер дела file ~ номер документа file ~ номер единицы хранения floating-point ~ вчт. число с плавающей запятой fractional ~ дробное число generation ~ вчт. номер версии giro account ~ номер жиросчета ~ первоклассный, самый главный;
problem No. 1 самая важная проблема;
his number goes up он умирает, его песенка спета, ему крышка identity ~ идентификационный номер identity ~ личный номер ~ число, количество;
a number of некоторое количество;
in number численно, количеством in (great) ~s в большом количестве in (great) ~s значительными силами;
out of (или without) number множество, без числа;
a number (или numbers) of people много народу index ~ вчт. индекс index ~ коэффициент index ~ числовой показатель insurance ~ номер страхового договора integer ~ вчт. целое число inverse ~ вчт. обратное число invoice ~ номер счета-фактуры item ~ номер изделия item ~ вчт. номер позиции item ~ вчт. номер элемента journal ~ номер журнала land register ~ номер кадастра licence ~ номерной знак автомобиля line ~ вчт. номер строки lot ~ номер лота lot ~ число изделий в партии magic ~ вчт. системный код mixed ~ вчт. смешанное число ~ номер;
motorcar's number номер автомашины;
call number шифр (книги, пленки и т. п.) natural ~ вчт. натуральное число natural ~ мат. натуральное число negative ~ вчт. отрицательное число number разг. (что-л.) выделяющееся, могущее служить образцом;
number one (или No. ~ выпуск, номер, экземпляр (журнала и т. п.) ~ выпуск ~ зачислять ~ количество ~ насчитывать;
the population numbers 5000 население составляет 5000 человек ~ насчитывать ~ номер (программы) ~ номер;
motorcar's number номер автомашины;
call number шифр (книги, пленки и т. п.) ~ номер ~ нумеровать ~ нумеровать ~ первоклассный, самый главный;
problem No. 1 самая важная проблема;
his number goes up он умирает, его песенка спета, ему крышка ~ пересчитывать ~ показатель ~ (No.) порядковый номер ~ предназначать ~ причислять, зачислять;
to be numbered with быть причисленным к ~ воен. рассчитываться;
to number off делать перекличку по номерам ~ прос. ритм, размер ~ свое "я";
собственная персона ~ pl прос. стихи ~ мат. сумма, число, цифра;
science of numbers арифметика ~ сумма ~ уст. считать, пересчитывать;
his days are numbered его дни сочтены ~ цифра ~ числиться, быть в числе (among, in) ~ грам. число ~ число, количество;
a number of некоторое количество;
in number численно, количеством ~ число ~ in succession нумеровать по порядку ~ in system вчт. число в системе ~ in the queue вчт. длина очереди ~ число, количество;
a number of некоторое количество;
in number численно, количеством ~ of allocation units количество голосов, на основании которых распределяются мандаты в парламенте ~ of claims число исков ~ of members число членов ~ of packages число мест груза in (great) ~s значительными силами;
out of (или without) number множество, без числа;
a number (или numbers) of people много народу ~ of persons employed число сотрудников ~ of respondents число опрошенных ~ of risks число рисков ~ of units waiting вчт. длина очереди ~ of votes число голосов ~ of years возраст ~ воен. рассчитываться;
to number off делать перекличку по номерам number разг. (что-л.) выделяющееся, могущее служить образцом;
number one (или No. odd ~ нечетное число opposite ~ лицо, занимающее такую же должность в другом учреждении opposite ~ партнер по переговорам opposite: ~ number лицо, занимающее такую же должность в другом учреждении, государстве и т. п.;
партнер, коллега order ~ номер заказа order ~ порядковый номер ordinal ~ вчт. порядковый номер ordinal ~ порядковый номер in (great) ~s значительными силами;
out of (или without) number множество, без числа;
a number (или numbers) of people много народу packed decimal ~ вчт. упакованное десятичное число page ~ вчт. номер страницы page ~ полигр. номер страницы parcel ~ номер земельного участка patent ~ номер патента personal identification ~ вчт. личный идентификационный номер personal ~ личный идентификационный номер phone ~ номер телефона physical block ~ вчт. физический номер блока policy ~ номер страхового полиса ~ насчитывать;
the population numbers 5000 население составляет 5000 человек positive ~ вчт. положительное число precedence ~ вчт. приоритетный номер prime ~ простое число prime: ~ mover тех. первичный двигатель;
перен. душа( какого-л.) дела;
prime number мат. простое число priority ~ вчт. показатель приоритета ~ первоклассный, самый главный;
problem No. 1 самая важная проблема;
his number goes up он умирает, его песенка спета, ему крышка pseudorandom ~ псевдослучайное число random ~ случайное число rational ~ рациональное число real ~ вещественное число real ~ действительное число reciprocal ~ обратное число reference ~ номер для ссылок reference ~ номер документа reference ~ шифр документа registration ~ номерной знак registration ~ регистрационный номер round ~ округленное число ~ мат. сумма, число, цифра;
science of numbers арифметика securities ~ номер ценной бумаги sequence ~ порядковый номер serial ~ номер в серии serial ~ порядковый номер serial ~ регистрационный номер serial ~ серийный номер serial: ~ последовательный;
serial number порядковый номер share serial ~ серийный номер акции shelf ~ doc. регистрационный номер shelf ~ doc. учетный номер signed ~ вчт. число со знаком simple ~ однозначное число special service ~ специальный служебный номер statement ~ вчт. номер оператора statistical code ~ статистический кодовый номер suffix ~ нижний индекс tag ~ вчт. кодовая метка tariff ~ позиция в таможенном тарифе tax identification ~ регистрационный номер фирмы в налоговом управлении (США) telephone ~ номер телефона three-figure ~ трехзначное число three-figure ~ трехзначный номер title ~ титульный номер track ~ вчт. номер дорожки two-digit ~ двузначное число unit ~ вчт. номер устройства unlisted ~ номер телефона, не внесенный в телефонный справочник unobtainable ~ номер телефона, не помещенный в телефонный справочник и не сообщаемый справочной службой unsigned ~ вчт. число без знака user identification ~ вчт. шифр пользователя user ~ вчт. код пользователя vacant ~ незанятый абонентский номер vacant ~ свободный абонентский номер version ~ вчт. номер версии virtual block ~ вчт. виртуальный номер блока wave ~ волновое число -
56 difficult
1) ( not easy) examination, language, task schwierig, schwer; case, problem, situation schwierig; choice, decision schwer;this problem is \difficult to deal with dieses Problem ist schwer in den Griff zu bekommen;it was \difficult for her to say goodbye es fiel ihr schwer, sich zu verabschieden;\difficult climb schwieriger Aufstieg;\difficult labour schwere Geburt;to find it \difficult to do sth es schwer finden, etw zu tun3) ( not easy to please) schwierig;the manager is \difficult to deal with mit dem Manager ist nicht gut Kirschen essen ( fam) -
57 hang-up
1. n амер. сл. причина нервозности, раздражения2. n амер. сл. жалоба3. n амер. сл. сл. «пунктик», идефикс4. n амер. сл. вчт. «зависание»Синонимический ряд:1. obsession (noun) complex; delusion; fixation; mania; neurosis; obsession; phobia; repression2. personal problem (noun) difficulty; disturbance; emotional problem; inhibition; personal problem; predicament; stumbling block; tic -
58 Mind
It becomes, therefore, no inconsiderable part of science... to know the different operations of the mind, to separate them from each other, to class them under their proper heads, and to correct all that seeming disorder in which they lie involved when made the object of reflection and inquiry.... It cannot be doubted that the mind is endowed with several powers and faculties, that these powers are distinct from one another, and that what is really distinct to the immediate perception may be distinguished by reflection and, consequently, that there is a truth and falsehood which lie not beyond the compass of human understanding. (Hume, 1955, p. 22)Let us then suppose the mind to be, as we say, white Paper, void of all Characters, without any Ideas: How comes it to be furnished? Whence comes it by that vast store, which the busy and boundless Fancy of Man has painted on it, with an almost endless variety? Whence has it all the materials of Reason and Knowledge? To this I answer, in one word, from Experience. (Locke, quoted in Herrnstein & Boring, 1965, p. 584)The kind of logic in mythical thought is as rigorous as that of modern science, and... the difference lies, not in the quality of the intellectual process, but in the nature of things to which it is applied.... Man has always been thinking equally well; the improvement lies, not in an alleged progress of man's mind, but in the discovery of new areas to which it may apply its unchanged and unchanging powers. (Leґvi-Strauss, 1963, p. 230)MIND. A mysterious form of matter secreted by the brain. Its chief activity consists in the endeavor to ascertain its own nature, the futility of the attempt being due to the fact that it has nothing but itself to know itself with. (Bierce, quoted in Minsky, 1986, p. 55)[Philosophy] understands the foundations of knowledge and it finds these foundations in a study of man-as-knower, of the "mental processes" or the "activity of representation" which make knowledge possible. To know is to represent accurately what is outside the mind, so to understand the possibility and nature of knowledge is to understand the way in which the mind is able to construct such representation.... We owe the notion of a "theory of knowledge" based on an understanding of "mental processes" to the seventeenth century, and especially to Locke. We owe the notion of "the mind" as a separate entity in which "processes" occur to the same period, and especially to Descartes. We owe the notion of philosophy as a tribunal of pure reason, upholding or denying the claims of the rest of culture, to the eighteenth century and especially to Kant, but this Kantian notion presupposed general assent to Lockean notions of mental processes and Cartesian notions of mental substance. (Rorty, 1979, pp. 3-4)Under pressure from the computer, the question of mind in relation to machine is becoming a central cultural preoccupation. It is becoming for us what sex was to Victorians-threat, obsession, taboo, and fascination. (Turkle, 1984, p. 313)7) Understanding the Mind Remains as Resistant to Neurological as to Cognitive AnalysesRecent years have been exciting for researchers in the brain and cognitive sciences. Both fields have flourished, each spurred on by methodological and conceptual developments, and although understanding the mechanisms of mind is an objective shared by many workers in these areas, their theories and approaches to the problem are vastly different....Early experimental psychologists, such as Wundt and James, were as interested in and knowledgeable about the anatomy and physiology of the nervous system as about the young science of the mind. However, the experimental study of mental processes was short-lived, being eclipsed by the rise of behaviorism early in this century. It was not until the late 1950s that the signs of a new mentalism first appeared in scattered writings of linguists, philosophers, computer enthusiasts, and psychologists.In this new incarnation, the science of mind had a specific mission: to challenge and replace behaviorism. In the meantime, brain science had in many ways become allied with a behaviorist approach.... While behaviorism sought to reduce the mind to statements about bodily action, brain science seeks to explain the mind in terms of physiochemical events occurring in the nervous system. These approaches contrast with contemporary cognitive science, which tries to understand the mind as it is, without any reduction, a view sometimes described as functionalism.The cognitive revolution is now in place. Cognition is the subject of contemporary psychology. This was achieved with little or no talk of neurons, action potentials, and neurotransmitters. Similarly, neuroscience has risen to an esteemed position among the biological sciences without much talk of cognitive processes. Do the fields need each other?... [Y]es because the problem of understanding the mind, unlike the wouldbe problem solvers, respects no disciplinary boundaries. It remains as resistant to neurological as to cognitive analyses. (LeDoux & Hirst, 1986, pp. 1-2)Since the Second World War scientists from different disciplines have turned to the study of the human mind. Computer scientists have tried to emulate its capacity for visual perception. Linguists have struggled with the puzzle of how children acquire language. Ethologists have sought the innate roots of social behaviour. Neurophysiologists have begun to relate the function of nerve cells to complex perceptual and motor processes. Neurologists and neuropsychologists have used the pattern of competence and incompetence of their brain-damaged patients to elucidate the normal workings of the brain. Anthropologists have examined the conceptual structure of cultural practices to advance hypotheses about the basic principles of the mind. These days one meets engineers who work on speech perception, biologists who investigate the mental representation of spatial relations, and physicists who want to understand consciousness. And, of course, psychologists continue to study perception, memory, thought and action.... [W]orkers in many disciplines have converged on a number of central problems and explanatory ideas. They have realized that no single approach is likely to unravel the workings of the mind: it will not give up its secrets to psychology alone; nor is any other isolated discipline-artificial intelligence, linguistics, anthropology, neurophysiology, philosophy-going to have any greater success. (Johnson-Laird, 1988, p. 7)Historical dictionary of quotations in cognitive science > Mind
-
59 recursively
1) рекурсно
2) рекурсивно
3) рекуррентно ∙ completely recursively enumerable class ≈ вполне рекурсивно перечислимый класс general recursively inequal numbers ≈ общерекурсивно неравные числа general recursively irrational number ≈ общерекурсивно иррациональное число general recursively true ≈ общерекурсивно истинный general recursively true formula ≈ общерекурсивно истинная формула primitive recursively true ≈ примитивно-рекурсивно истинный recursively approximable set ≈ рекурсивно аппроксимируемое множество recursively axiomatizable theor ≈ рекурсивно аксиоматизируемая теория recursively axiomatized theor ≈ рекурсивно аксиоматизированная теория recursively bounded quantifier ≈ рекурсивно ограниченный квантор recursively calculable function ≈ рекурсивно вычислимая функция recursively complex number ≈ рекурсивно комплексное число recursively continuous function ≈ рекурсивно непрерывная функция recursively convergent function ≈ рекурсивно сходящаяся функция recursively convergent sequence ≈ рекурсивно сходящаяся последовательность recursively creative set ≈ рекурсивно креативное множество recursively defined function ≈ рекуррентно определенная функция recursively defined sequence ≈ рекурсивно определенная последовательность recursively differentiable function ≈ рекурсивно дифференцируемая функция recursively divergent function ≈ рекурсивно расходящаяся функция recursively divergent sequence ≈ рекурсивно расходящаяся последовательность recursively enumerable cylinder ≈ рекурсивно перечислимый цилиндр recursively enumerable degree ≈ рекурсивно перечислимая степень recursively enumerable index ≈ рекурсивно перечислимый индекс recursively enumerable ordinal ≈ рекурсивно перечислимое порядковое число recursively enumerable predicate ≈ рекурсивно перечислимый предикат recursively enumerable problem ≈ рекурсивно перечислимая проблема recursively enumerable relation ≈ рекурсивно перечислимое отношение recursively enumerable sequence ≈ рекурсивно перечислимая последовательность recursively enumerable set ≈ рекурсивное перечислимое множество recursively enumerable structure ≈ рекурсивно перечислимая структура recursively enumerable subclass ≈ рекурсивно перечислимый подкласс recursively enumerable subset ≈ рекурсивно перечислимое подмножество recursively enumerable theor ≈ рекурсивно перечислимая теория recursively equivalent sets ≈ рекурсивно эквивалентные множества recursively extensible function ≈ рекурсивно продолжаемая функция recursively incompletable theor ≈ рекурсивно непополнимая теория recursively indecomposable set ≈ рекурсивно неразложимое множество recursively inseparable sets ≈ рекурсивно неотделимые множества recursively invariant concept ≈ рекурсивно инвариантное понятие recursively invariant relation ≈ рекурсивно инвариантное отношение recursively isomorphic set ≈ рекурсивно изоморфное множество recursively presentable structure ≈ рекурсивно представимая структура recursively presented group ≈ рекурсивно определенная группа recursively productive set ≈ рекурсивно продуктивное множество recursively real number ≈ рекурсивно вещественное число recursively related system of notation ≈ рекурсивная по упорядочению система обозначений recursively representable operation ≈ рекурсивно представимая операция recursively representable relation ≈ рекурсивно представимое отношение recursively separable sets ≈ рекурсивно отделимые множества recursively solvable problem ≈ рекурсивно разрешимая проблема recursively undecidable theor ≈ рекурсивно неразрешимая теория recursively unequal numbers ≈ рекурсивно неравные числа - recursively axiomatized - recursively calculable - recursively closed - recursively computable - recursively conditional - recursively continuous - recursively convergent - recursively differentiable - recursively divergent - recursively enumerable - recursively equivalent - recursively expressible - recursively extensible - recursively inseparable - recursively isomorphic - recursively isotonic - recursively presentable - recursively projective - recursively realizable - recursively representable - recursively soluble - recursively true - recursively unsolvable РекурсивноБольшой англо-русский и русско-английский словарь > recursively
-
60 area
1. площадь, площадка, поверхность2. зона, район, область, территория, участокarea of influence of a well — площадь влияния [интерференции] скважины
— effective cross-sectional area— net area— oil area
* * *
место; площадкаreceipt, inspection and maintenance area — площадка для приёмки, осмотра и технического обслуживания
* * *
площадь; зона, область; поверхность
* * *
1) место; площадь; площадка; поверхность2) зона, район, область, территория, участок•- area of influence
- acquisition area
- closely drilled area
- contact area
- contaminated area
- corroded area
- corrosion area
- critical area of formation
- cross sectional area
- dead area
- difficult record area
- drainage area of well
- drilled area
- exhausted area
- exploration area
- flooding area
- flow area
- free area
- geologically complex area
- geophone base area
- infiltration area
- influence area of well
- initial productive area
- injection area
- interfacial area
- interstital surface area
- maintenance area
- mining area
- no-reflection area
- no-return area
- oil area
- oil-bearing area
- oil-producing area
- open area of screen
- original cross-sectional area
- pattern area
- payable area
- petroferous area
- plan area
- poor record area
- pore surface area
- potential area
- problem area
- producing area
- prospective area
- proved area
- receipt, inspection and maintenance area
- reflection exploration area
- refraction exploration area
- repair area
- rig deck area
- sectional area
- seismic area
- seismic survey area
- service area
- set back area
- slip area
- slot area
- soft rock area
- source area
- specialized repair area
- spread area
- surface area of structure
- swept reservoir area
- target area
- tongs area of pipe
- transit area
- unproductive area
- vulnerable area
- watered field area
- waterflood area
- water-to-oil area
- wave generation area
- wearout area
- welding area
- well-drainage area
- well-head area
- well-influence area
- well-pattern dead area
- wetted area
- wild-cat area
- wire-cloth area* * *• место• площадка• поле• район
Страницы
См. также в других словарях:
Problem solving — forms part of thinking. Considered the most complex of all intellectual functions, problem solving has been defined as higher order cognitive process that requires the modulation and control of more routine or fundamental skills (Goldstein Levin … Wikipedia
complex — 01. The issue is much too [complex] for me to discuss. 02. They have moved into a new housing [complex] near the ocean. 03. Using a computer seemed pretty [complex] to me at first, but now it seems very simple. 04. He has a [complex] about his… … Grammatical examples in English
complex — 1 adjective 1 consisting of many different parts or processes that are closely connected: There is a complex network of roads round the city. | Photosynthesis is a highly complex process. 2 difficult to understand or deal with: Mental illness is… … Longman dictionary of contemporary English
complex — complexly, adv. complexness, n. adj., v. /keuhm pleks , kom pleks/; n. /kom pleks/, adj. 1. composed of many interconnected parts; compound; composite: a complex highway system. 2. characterized by a very complicated or involved arrangement of… … Universalium
complex — com•plex adj., v. [[t]kəmˈplɛks, ˈkɒm plɛks[/t]] n. [[t]ˈkɒm plɛks[/t]] adj. 1) composed of many interconnected parts; compound; composite: a complex system[/ex] 2) characterized by a complicated or involved arrangement of parts, units, etc.:… … From formal English to slang
complex — n. & adj. n. 1 a building, a series of rooms, a network, etc. made up of related parts (the arts complex). 2 Psychol. a related group of usu. repressed feelings or thoughts which cause abnormal behaviour or mental states (see inferiority complex… … Useful english dictionary
problem solving — Process involved in finding a solution to a problem. Many animals routinely solve problems of locomotion, food finding, and shelter through trial and error. Some higher animals, such as apes and cetaceans, have demonstrated more complex problem… … Universalium
Complex and adaptive systems laboratory — Established 2006 Director David Coker Faculty 15 Staff 100 Location Dublin … Wikipedia
Complex post-traumatic stress disorder — (C PTSD) is a psychological injury that results from protracted exposure to prolonged social and/or interpersonal trauma with lack or loss of control, disempowerment, and in the context of either captivity or entrapment, i.e. the lack of a viable … Wikipedia
Complex system biology — Complex systems biology (CSB) is a branch or subfield of mathematical and theoretical biology concerned with complexity of both structure and function in biological organisms, as well as the emergence and evolution of organisms and species, with… … Wikipedia
Problem-based learning — (PBL) is a student centered instructional strategy in which students collaboratively solve problems and reflect on their experiences. It was pioneered and used extensively at McMaster University, Hamilton, Ontario, Canada. Characteristics of PBL… … Wikipedia
