Перевод: со всех языков на английский

с английского на все языки

logic-in-memory computer

  • 1 Memory

       To what extent can we lump together what goes on when you try to recall: (1) your name; (2) how you kick a football; and (3) the present location of your car keys? If we use introspective evidence as a guide, the first seems an immediate automatic response. The second may require constructive internal replay prior to our being able to produce a verbal description. The third... quite likely involves complex operational responses under the control of some general strategy system. Is any unitary search process, with a single set of characteristics and inputoutput relations, likely to cover all these cases? (Reitman, 1970, p. 485)
       [Semantic memory] Is a mental thesaurus, organized knowledge a person possesses about words and other verbal symbols, their meanings and referents, about relations among them, and about rules, formulas, and algorithms for the manipulation of these symbols, concepts, and relations. Semantic memory does not register perceptible properties of inputs, but rather cognitive referents of input signals. (Tulving, 1972, p. 386)
       The mnemonic code, far from being fixed and unchangeable, is structured and restructured along with general development. Such a restructuring of the code takes place in close dependence on the schemes of intelligence. The clearest indication of this is the observation of different types of memory organisation in accordance with the age level of a child so that a longer interval of retention without any new presentation, far from causing a deterioration of memory, may actually improve it. (Piaget & Inhelder, 1973, p. 36)
       4) The Logic of Some Memory Theorization Is of Dubious Worth in the History of Psychology
       If a cue was effective in memory retrieval, then one could infer it was encoded; if a cue was not effective, then it was not encoded. The logic of this theorization is "heads I win, tails you lose" and is of dubious worth in the history of psychology. We might ask how long scientists will puzzle over questions with no answers. (Solso, 1974, p. 28)
       We have iconic, echoic, active, working, acoustic, articulatory, primary, secondary, episodic, semantic, short-term, intermediate-term, and longterm memories, and these memories contain tags, traces, images, attributes, markers, concepts, cognitive maps, natural-language mediators, kernel sentences, relational rules, nodes, associations, propositions, higher-order memory units, and features. (Eysenck, 1977, p. 4)
       The problem with the memory metaphor is that storage and retrieval of traces only deals [ sic] with old, previously articulated information. Memory traces can perhaps provide a basis for dealing with the "sameness" of the present experience with previous experiences, but the memory metaphor has no mechanisms for dealing with novel information. (Bransford, McCarrell, Franks & Nitsch, 1977, p. 434)
       7) The Results of a Hundred Years of the Psychological Study of Memory Are Somewhat Discouraging
       The results of a hundred years of the psychological study of memory are somewhat discouraging. We have established firm empirical generalisations, but most of them are so obvious that every ten-year-old knows them anyway. We have made discoveries, but they are only marginally about memory; in many cases we don't know what to do with them, and wear them out with endless experimental variations. We have an intellectually impressive group of theories, but history offers little confidence that they will provide any meaningful insight into natural behavior. (Neisser, 1978, pp. 12-13)
       A schema, then is a data structure for representing the generic concepts stored in memory. There are schemata representing our knowledge about all concepts; those underlying objects, situations, events, sequences of events, actions and sequences of actions. A schema contains, as part of its specification, the network of interrelations that is believed to normally hold among the constituents of the concept in question. A schema theory embodies a prototype theory of meaning. That is, inasmuch as a schema underlying a concept stored in memory corresponds to the mean ing of that concept, meanings are encoded in terms of the typical or normal situations or events that instantiate that concept. (Rumelhart, 1980, p. 34)
       Memory appears to be constrained by a structure, a "syntax," perhaps at quite a low level, but it is free to be variable, deviant, even erratic at a higher level....
       Like the information system of language, memory can be explained in part by the abstract rules which underlie it, but only in part. The rules provide a basic competence, but they do not fully determine performance. (Campbell, 1982, pp. 228, 229)
       When people think about the mind, they often liken it to a physical space, with memories and ideas as objects contained within that space. Thus, we speak of ideas being in the dark corners or dim recesses of our minds, and of holding ideas in mind. Ideas may be in the front or back of our minds, or they may be difficult to grasp. With respect to the processes involved in memory, we talk about storing memories, of searching or looking for lost memories, and sometimes of finding them. An examination of common parlance, therefore, suggests that there is general adherence to what might be called the spatial metaphor. The basic assumptions of this metaphor are that memories are treated as objects stored in specific locations within the mind, and the retrieval process involves a search through the mind in order to find specific memories....
       However, while the spatial metaphor has shown extraordinary longevity, there have been some interesting changes over time in the precise form of analogy used. In particular, technological advances have influenced theoretical conceptualisations.... The original Greek analogies were based on wax tablets and aviaries; these were superseded by analogies involving switchboards, gramophones, tape recorders, libraries, conveyor belts, and underground maps. Most recently, the workings of human memory have been compared to computer functioning... and it has been suggested that the various memory stores found in computers have their counterparts in the human memory system. (Eysenck, 1984, pp. 79-80)
       Primary memory [as proposed by William James] relates to information that remains in consciousness after it has been perceived, and thus forms part of the psychological present, whereas secondary memory contains information about events that have left consciousness, and are therefore part of the psychological past. (Eysenck, 1984, p. 86)
       Once psychologists began to study long-term memory per se, they realized it may be divided into two main categories.... Semantic memories have to do with our general knowledge about the working of the world. We know what cars do, what stoves do, what the laws of gravity are, and so on. Episodic memories are largely events that took place at a time and place in our personal history. Remembering specific events about our own actions, about our family, and about our individual past falls into this category. With amnesia or in aging, what dims... is our personal episodic memories, save for those that are especially dear or painful to us. Our knowledge of how the world works remains pretty much intact. (Gazzaniga, 1988, p. 42)
       The nature of memory... provides a natural starting point for an analysis of thinking. Memory is the repository of many of the beliefs and representations that enter into thinking, and the retrievability of these representations can limit the quality of our thought. (Smith, 1990, p. 1)

    Historical dictionary of quotations in cognitive science > Memory

  • 2 ассоциативная вычислительная машина

    1. associative computer
    2. logic-in-memory computer

    Русско-английский большой базовый словарь > ассоциативная вычислительная машина

  • 3 ассоциативная вычислительная машина

    Универсальный русско-английский словарь > ассоциативная вычислительная машина

  • 4 ассоциативная вычислительная машина

    associative computer, logic-in-memory computer

    Русско-английский словарь по вычислительной технике и программированию > ассоциативная вычислительная машина

  • 5 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.
     ■ 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.
     ■ Campbell, J. (1982). Grammatical man: Information, entropy, language, and life. New York: Simon & Schuster.
     ■ Campbell, J. (1989). The improbable machine. New York: Simon & Schuster.
     ■ Carlyle, T. (1966). On heroes, hero- worship and the heroic in history. Lincoln: University of Nebraska Press. (Originally published in 1841.)
     ■ Carnap, R. (1959). The elimination of metaphysics through logical analysis of language [Ueberwindung der Metaphysik durch logische Analyse der Sprache]. In A. J. Ayer (Ed.), Logical positivism (pp. 60-81) A. Pap (Trans). New York: Free Press. (Originally published in 1932.)
     ■ Cassirer, E. (1946). Language and myth. New York: Harper and Brothers. Reprinted. New York: Dover Publications, 1953.
     ■ Cattell, R. B., & H. J. Butcher (1970). Creativity and personality. In P. E. Vernon (Ed.), Creativity. Harmondsworth, England: Penguin Books.
     ■ Caudill, M., & C. Butler (1990). Naturally intelligent systems. Cambridge, MA: MIT Press/Bradford Books.
     ■ Chandrasekaran, B. (1990). What kind of information processing is intelligence? A perspective on AI paradigms and a proposal. In D. Partridge & R. Wilks (Eds.), The foundations of artificial intelligence: A sourcebook (pp. 14-46). Cambridge: Cambridge University Press.
     ■ Charniak, E., & McDermott, D. (1985). Introduction to artificial intelligence. Reading, MA: Addison-Wesley.
     ■ Chase, W. G., & H. A. Simon (1988). The mind's eye in chess. In A. Collins & E. E. Smith (Eds.), Readings in cognitive science: A perspective from psychology and artificial intelligence (pp. 461-493). San Mateo, CA: Kaufmann.
     ■ Cheney, D. L., & R. M. Seyfarth (1990). How monkeys see the world: Inside the mind of another species. Chicago: University of Chicago Press.
     ■ Chi, M.T.H., R. Glaser & E. Rees (1982). Expertise in problem solving. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (pp. 7-73). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Chomsky, N. (1957). Syntactic structures. The Hague: Mouton. Janua Linguarum.
     ■ Chomsky, N. (1964). A transformational approach to syntax. In J. A. Fodor & J. J. Katz (Eds.), The structure of language: Readings in the philosophy of lan guage (pp. 211-245). Englewood Cliffs, NJ: Prentice-Hall.
     ■ Chomsky, N. (1965). Aspects of the theory of syntax. Cambridge, MA: MIT Press.
     ■ Chomsky, N. (1972). Language and mind (enlarged ed.). New York: Harcourt Brace Jovanovich.
     ■ Chomsky, N. (1979). Language and responsibility. New York: Pantheon.
     ■ Chomsky, N. (1986). Knowledge of language: Its nature, origin and use. New York: Praeger Special Studies.
     ■ Churchland, P. (1979). Scientific realism and the plasticity of mind. New York: Cambridge University Press.
     ■ Churchland, P. M. (1989). A neurocomputational perspective: The nature of mind and the structure of science. Cambridge, MA: MIT Press.
     ■ Churchland, P. S. (1986). Neurophilosophy. Cambridge, MA: MIT Press/Bradford Books.
     ■ Clark, A. (1996). Philosophical Foundations. In M. A. Boden (Ed.), Artificial in telligence (2nd ed.). San Diego: Academic Press.
     ■ Clark, H. H., & T. B. Carlson (1981). Context for comprehension. In J. Long & A. Baddeley (Eds.), Attention and performance (Vol. 9, pp. 313-330). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Clarke, A. C. (1984). Profiles of the future: An inquiry into the limits of the possible. New York: Holt, Rinehart & Winston.
     ■ Claxton, G. (1980). Cognitive psychology: A suitable case for what sort of treatment? In G. Claxton (Ed.), Cognitive psychology: New directions (pp. 1-25). London: Routledge & Kegan Paul.
     ■ Code, M. (1985). Order and organism. Albany, NY: State University of New York Press.
     ■ Collingwood, R. G. (1972). The idea of history. New York: Oxford University Press.
     ■ Coopersmith, S. (1967). The antecedents of self- esteem. San Francisco: W. H. Freeman.
     ■ Copland, A. (1952). Music and imagination. London: Oxford University Press.
     ■ Coren, S. (1994). The intelligence of dogs. New York: Bantam Books.
     ■ Cottingham, J. (Ed.) (1996). Western philosophy: An anthology. Oxford: Blackwell Publishers.
     ■ Cox, C. (1926). The early mental traits of three hundred geniuses. Stanford, CA: Stanford University Press.
     ■ Craik, K.J.W. (1943). The nature of explanation. Cambridge: Cambridge University Press.
     ■ Cronbach, L. J. (1990). Essentials of psychological testing (5th ed.). New York: HarperCollins.
     ■ Cronbach, L. J., & R. E. Snow (1977). Aptitudes and instructional methods. New York: Irvington. Paperback edition, 1981.
     ■ Csikszentmihalyi, M. (1993). The evolving self. New York: Harper Perennial.
     ■ Culler, J. (1976). Ferdinand de Saussure. New York: Penguin Books.
     ■ Curtius, E. R. (1973). European literature and the Latin Middle Ages. W. R. Trask (Trans.). Princeton, NJ: Princeton University Press.
     ■ D'Alembert, J.L.R. (1963). Preliminary discourse to the encyclopedia of Diderot. R. N. Schwab (Trans.). Indianapolis: Bobbs-Merrill.
     ■ Damasio, A. (1994). Descartes' error: Emotion, reason, and the human brain. New York: Avon.
     ■ Dampier, W. C. (1966). A history of modern science. Cambridge: Cambridge University Press.
     ■ Darwin, C. (1911). The life and letters of Charles Darwin (Vol. 1). Francis Darwin (Ed.). New York: Appleton.
     ■ Davidson, D. (1970) Mental events. In L. Foster & J. W. Swanson (Eds.), Experience and theory (pp. 79-101). Amherst: University of Massachussetts Press.
     ■ Davies, P. (1995). About time: Einstein's unfinished revolution. New York: Simon & Schuster/Touchstone.
     ■ Davis, R., & J. J. King (1977). An overview of production systems. In E. Elcock & D. Michie (Eds.), Machine intelligence 8. Chichester, England: Ellis Horwood.
     ■ Davis, R., & D. B. Lenat (1982). Knowledge- based systems in artificial intelligence. New York: McGraw-Hill.
     ■ Dawkins, R. (1982). The extended phenotype: The gene as the unit of selection. Oxford: W. H. Freeman.
     ■ deKleer, J., & J. S. Brown (1983). Assumptions and ambiguities in mechanistic mental models (1983). In D. Gentner & A. L. Stevens (Eds.), Mental modes (pp. 155-190). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Dennett, D. C. (1978a). Brainstorms: Philosophical essays on mind and psychology. Montgomery, VT: Bradford Books.
     ■ Dennett, D. C. (1978b). Toward a cognitive theory of consciousness. In D. C. Dennett, Brainstorms: Philosophical Essays on Mind and Psychology. Montgomery, VT: Bradford Books.
     ■ Dennett, D. C. (1995). Darwin's dangerous idea: Evolution and the meanings of life. New York: Simon & Schuster/Touchstone.
     ■ Descartes, R. (1897-1910). Traite de l'homme. In Oeuvres de Descartes (Vol. 11, pp. 119-215). Paris: Charles Adam & Paul Tannery. (Originally published in 1634.)
     ■ Descartes, R. (1950). Discourse on method. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1637.)
     ■ Descartes, R. (1951). Meditation on first philosophy. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1641.)
     ■ Descartes, R. (1955). The philosophical works of Descartes. E. S. Haldane and G.R.T. Ross (Trans.). New York: Dover. (Originally published in 1911 by Cambridge University Press.)
     ■ Descartes, R. (1967). Discourse on method (Pt. V). In E. S. Haldane and G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 106-118). Cambridge: Cambridge University Press. (Originally published in 1637.)
     ■ Descartes, R. (1970a). Discourse on method. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 181-200). Cambridge: Cambridge University Press. (Originally published in 1637.)
     ■ Descartes, R. (1970b). Principles of philosophy. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 178-291). Cambridge: Cambridge University Press. (Originally published in 1644.)
     ■ Descartes, R. (1984). Meditations on first philosophy. In J. Cottingham, R. Stoothoff & D. Murduch (Trans.), The philosophical works of Descartes (Vol. 2). Cambridge: Cambridge University Press. (Originally published in 1641.)
     ■ Descartes, R. (1986). Meditations on first philosophy. J. Cottingham (Trans.). Cambridge: Cambridge University Press. (Originally published in 1641 as Med itationes de prima philosophia.)
     ■ deWulf, M. (1956). An introduction to scholastic philosophy. Mineola, NY: Dover Books.
     ■ Dixon, N. F. (1981). Preconscious processing. London: Wiley.
     ■ Doyle, A. C. (1986). The Boscombe Valley mystery. In Sherlock Holmes: The com plete novels and stories (Vol. 1). New York: Bantam.
     ■ Dreyfus, H., & S. Dreyfus (1986). Mind over machine. New York: Free Press.
     ■ Dreyfus, H. L. (1972). What computers can't do: The limits of artificial intelligence (revised ed.). New York: Harper & Row.
     ■ Dreyfus, H. L., & S. E. Dreyfus (1986). Mind over machine: The power of human intuition and expertise in the era of the computer. New York: Free Press.
     ■ Edelman, G. M. (1992). Bright air, brilliant fire: On the matter of the mind. New York: Basic Books.
     ■ Ehrenzweig, A. (1967). The hidden order of art. London: Weidenfeld & Nicolson.
     ■ Einstein, A., & L. Infeld (1938). The evolution of physics. New York: Simon & Schuster.
     ■ Eisenstein, S. (1947). Film sense. New York: Harcourt, Brace & World.
     ■ Everdell, W. R. (1997). The first moderns. Chicago: University of Chicago Press.
     ■ Eysenck, M. W. (1977). Human memory: Theory, research and individual difference. Oxford: Pergamon.
     ■ Eysenck, M. W. (1982). Attention and arousal: Cognition and performance. Berlin: Springer.
     ■ Eysenck, M. W. (1984). A handbook of cognitive psychology. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Fancher, R. E. (1979). Pioneers of psychology. New York: W. W. Norton.
     ■ Farrell, B. A. (1981). The standing of psychoanalysis. New York: Oxford University Press.
     ■ Feldman, D. H. (1980). Beyond universals in cognitive development. Norwood, NJ: Ablex.
     ■ Fetzer, J. H. (1996). Philosophy and cognitive science (2nd ed.). New York: Paragon House.
     ■ Finke, R. A. (1990). Creative imagery: Discoveries and inventions in visualization. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Flanagan, O. (1991). The science of the mind. Cambridge MA: MIT Press/Bradford Books.
     ■ Fodor, J. (1983). The modularity of mind. Cambridge, MA: MIT Press/Bradford Books.
     ■ Frege, G. (1972). Conceptual notation. T. W. Bynum (Trans.). Oxford: Clarendon Press. (Originally published in 1879.)
     ■ Frege, G. (1979). Logic. In H. Hermes, F. Kambartel & F. Kaulbach (Eds.), Gottlob Frege: Posthumous writings. Chicago: University of Chicago Press. (Originally published in 1879-1891.)
     ■ Freud, S. (1959). Creative writers and day-dreaming. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 9, pp. 143-153). London: Hogarth Press.
     ■ Freud, S. (1966). Project for a scientific psychology. In J. Strachey (Ed.), The stan dard edition of the complete psychological works of Sigmund Freud (Vol. 1, pp. 295-398). London: Hogarth Press. (Originally published in 1950 as Aus den AnfaЁngen der Psychoanalyse, in London by Imago Publishing.)
     ■ Freud, S. (1976). Lecture 18-Fixation to traumas-the unconscious. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 16, p. 285). London: Hogarth Press.
     ■ Galileo, G. (1990). Il saggiatore [The assayer]. In S. Drake (Ed.), Discoveries and opinions of Galileo. New York: Anchor Books. (Originally published in 1623.)
     ■ Gassendi, P. (1970). Letter to Descartes. In "Objections and replies." In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 2, pp. 179-240). Cambridge: Cambridge University Press. (Originally published in 1641.)
     ■ Gazzaniga, M. S. (1988). Mind matters: How mind and brain interact to create our conscious lives. Boston: Houghton Mifflin in association with MIT Press/Bradford Books.
     ■ Genesereth, M. R., & N. J. Nilsson (1987). Logical foundations of artificial intelligence. Palo Alto, CA: Morgan Kaufmann.
     ■ Ghiselin, B. (1952). The creative process. New York: Mentor.
     ■ Ghiselin, B. (1985). The creative process. Berkeley, CA: University of California Press. (Originally published in 1952.)
     ■ Gilhooly, K. J. (1996). Thinking: Directed, undirected and creative (3rd ed.). London: Academic Press.
     ■ Glass, A. L., K. J. Holyoak & J. L. Santa (1979). Cognition. Reading, MA: AddisonWesley.
     ■ Goody, J. (1977). The domestication of the savage mind. Cambridge: Cambridge University Press.
     ■ Gruber, H. E. (1980). Darwin on man: A psychological study of scientific creativity (2nd ed.). Chicago: University of Chicago Press.
     ■ Gruber, H. E., & S. Davis (1988). Inching our way up Mount Olympus: The evolving systems approach to creative thinking. In R. J. Sternberg (Ed.), The nature of creativity: Contemporary psychological perspectives. Cambridge: Cambridge University Press.
     ■ Guthrie, E. R. (1972). The psychology of learning. New York: Harper. (Originally published in 1935.)
     ■ Habermas, J. (1972). Knowledge and human interests. Boston: Beacon Press.
     ■ Hadamard, J. (1945). The psychology of invention in the mathematical field. Princeton, NJ: Princeton University Press.
     ■ Hand, D. J. (1985). Artificial intelligence and psychiatry. Cambridge: Cambridge University Press.
     ■ Harris, M. (1981). The language myth. London: Duckworth.
     ■ Haugeland, J. (Ed.) (1981). Mind design: Philosophy, psychology, artificial intelligence. Cambridge, MA: MIT Press/Bradford Books.
     ■ Haugeland, J. (1981a). The nature and plausibility of cognitivism. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 243-281). Cambridge, MA: MIT Press.
     ■ Haugeland, J. (1981b). Semantic engines: An introduction to mind design. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 1-34). Cambridge, MA: MIT Press/Bradford Books.
     ■ Haugeland, J. (1985). Artificial intelligence: The very idea. Cambridge, MA: MIT Press.
     ■ Hawkes, T. (1977). Structuralism and semiotics. Berkeley: University of California Press.
     ■ Hebb, D. O. (1949). The organisation of behaviour. New York: Wiley.
     ■ Hebb, D. O. (1958). A textbook of psychology. Philadelphia: Saunders.
     ■ Hegel, G.W.F. (1910). The phenomenology of mind. J. B. Baille (Trans.). London: Sonnenschein. (Originally published as Phaenomenologie des Geistes, 1807.)
     ■ Heisenberg, W. (1958). Physics and philosophy. New York: Harper & Row.
     ■ Hempel, C. G. (1966). Philosophy of natural science. Englewood Cliffs, NJ: PrenticeHall.
     ■ Herman, A. (1997). The idea of decline in Western history. New York: Free Press.
     ■ Herrnstein, R. J., & E. G. Boring (Eds.) (1965). A source book in the history of psy chology. Cambridge, MA: Harvard University Press.
     ■ Herzmann, E. (1964). Mozart's creative process. In P. H. Lang (Ed.), The creative world of Mozart (pp. 17-30). London: Oldbourne Press.
     ■ Hilgard, E. R. (1957). Introduction to psychology. London: Methuen.
     ■ Hobbes, T. (1651). Leviathan. London: Crooke.
     ■ Hofstadter, D. R. (1979). Goedel, Escher, Bach: An eternal golden braid. New York: Basic Books.
     ■ Holliday, S. G., & M. J. Chandler (1986). Wisdom: Explorations in adult competence. Basel, Switzerland: Karger.
     ■ Horn, J. L. (1986). In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 3). Hillsdale, NJ: Erlbaum.
     ■ Hull, C. (1943). Principles of behavior. New York: Appleton-Century-Crofts.
     ■ Hume, D. (1955). An inquiry concerning human understanding. New York: Liberal Arts Press. (Originally published in 1748.)
     ■ Hume, D. (1975). An enquiry concerning human understanding. In L. A. SelbyBigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (Spelling and punctuation revised.) (Originally published in 1748.)
     ■ Hume, D. (1978). A treatise of human nature. L. A. Selby-Bigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (With some modifications of spelling and punctuation.) (Originally published in 1690.)
     ■ Hunt, E. (1973). The memory we must have. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language. (pp. 343-371) San Francisco: W. H. Freeman.
     ■ Husserl, E. (1960). Cartesian meditations. The Hague: Martinus Nijhoff.
     ■ Inhelder, B., & J. Piaget (1958). The growth of logical thinking from childhood to adolescence. New York: Basic Books. (Originally published in 1955 as De la logique de l'enfant a` la logique de l'adolescent. [Paris: Presses Universitaire de France])
     ■ James, W. (1890a). The principles of psychology (Vol. 1). New York: Dover Books.
     ■ James, W. (1890b). The principles of psychology. New York: Henry Holt.
     ■ Jevons, W. S. (1900). The principles of science (2nd ed.). London: Macmillan.
     ■ Johnson, G. (1986). Machinery of the mind: Inside the new science of artificial intelli gence. New York: Random House.
     ■ Johnson, M. L. (1988). Mind, language, machine. New York: St. Martin's Press.
     ■ Johnson-Laird, P. N. (1983). Mental models: Toward a cognitive science of language, inference, and consciousness. Cambridge, MA: Harvard University Press.
     ■ Johnson-Laird, P. N. (1988). The computer and the mind: An introduction to cognitive science. Cambridge, MA: Harvard University Press.
     ■ Jones, E. (1961). The life and work of Sigmund Freud. L. Trilling & S. Marcus (Eds.). London: Hogarth.
     ■ Jones, R. V. (1985). Complementarity as a way of life. In A. P. French & P. J. Kennedy (Eds.), Niels Bohr: A centenary volume. Cambridge, MA: Harvard University Press.
     ■ Kant, I. (1933). Critique of Pure Reason (2nd ed.). N. K. Smith (Trans.). London: Macmillan. (Originally published in 1781 as Kritik der reinen Vernunft.)
     ■ Kant, I. (1891). Solution of the general problems of the Prolegomena. In E. Belfort (Trans.), Kant's Prolegomena. London: Bell. (With minor modifications.) (Originally published in 1783.)
     ■ Katona, G. (1940). Organizing and memorizing: Studies in the psychology of learning and teaching. New York: Columbia University Press.
     ■ Kaufman, A. S. (1979). Intelligent testing with the WISC-R. New York: Wiley.
     ■ Koestler, A. (1964). The act of creation. New York: Arkana (Penguin).
     ■ Kohlberg, L. (1971). From is to ought. In T. Mischel (Ed.), Cognitive development and epistemology. (pp. 151-235) New York: Academic Press.
     ■ KoЁhler, W. (1925). The mentality of apes. New York: Liveright.
     ■ KoЁhler, W. (1927). The mentality of apes (2nd ed.). Ella Winter (Trans.). London: Routledge & Kegan Paul.
     ■ KoЁhler, W. (1930). Gestalt psychology. London: G. Bell.
     ■ KoЁhler, W. (1947). Gestalt psychology. New York: Liveright.
     ■ KoЁhler, W. (1969). The task of Gestalt psychology. Princeton, NJ: Princeton University Press.
     ■ Kuhn, T. (1970). The structure of scientific revolutions (2nd ed.). Chicago: University of Chicago Press.
     ■ Langer, E. J. (1989). Mindfulness. Reading, MA: Addison-Wesley.
     ■ Langer, S. (1962). Philosophical sketches. Baltimore: Johns Hopkins University Press.
     ■ Langley, P., H. A. Simon, G. L. Bradshaw & J. M. Zytkow (1987). Scientific dis covery: Computational explorations of the creative process. Cambridge, MA: MIT Press.
     ■ Lashley, K. S. (1951). The problem of serial order in behavior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior, the Hixon Symposium (pp. 112-146) New York: Wiley.
     ■ LeDoux, J. E., & W. Hirst (1986). Mind and brain: Dialogues in cognitive neuroscience. Cambridge: Cambridge University Press.
     ■ Lehnert, W. (1978). The process of question answering. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Leiber, J. (1991). Invitation to cognitive science. Oxford: Blackwell.
     ■ Lenat, D. B., & G. Harris (1978). Designing a rule system that searches for scientific discoveries. In D. A. Waterman & F. Hayes-Roth (Eds.), Pattern directed inference systems (pp. 25-52) New York: Academic Press.
     ■ Levenson, T. (1995). Measure for measure: A musical history of science. New York: Touchstone. (Originally published in 1994.)
     ■ Leґvi-Strauss, C. (1963). Structural anthropology. C. Jacobson & B. Grundfest Schoepf (Trans.). New York: Basic Books. (Originally published in 1958.)
     ■ Levine, M. W., & J. M. Schefner (1981). Fundamentals of sensation and perception. London: Addison-Wesley.
     ■ Lewis, C. I. (1946). An analysis of knowledge and valuation. LaSalle, IL: Open Court.
     ■ Lighthill, J. (1972). A report on artificial intelligence. Unpublished manuscript, Science Research Council.
     ■ Lipman, M., A. M. Sharp & F. S. Oscanyan (1980). Philosophy in the classroom. Philadelphia: Temple University Press.
     ■ Lippmann, W. (1965). Public opinion. New York: Free Press. (Originally published in 1922.)
     ■ Locke, J. (1956). An essay concerning human understanding. Chicago: Henry Regnery Co. (Originally published in 1690.)
     ■ Locke, J. (1975). An essay concerning human understanding. P. H. Nidditch (Ed.). Oxford: Clarendon. (Originally published in 1690.) (With spelling and punctuation modernized and some minor modifications of phrasing.)
     ■ Lopate, P. (1994). The art of the personal essay. New York: Doubleday/Anchor Books.
     ■ Lorimer, F. (1929). The growth of reason. London: Kegan Paul. Machlup, F., & U. Mansfield (Eds.) (1983). The study of information. New York: Wiley.
     ■ Manguel, A. (1996). A history of reading. New York: Viking.
     ■ Margolis, H. (1987). Patterns, thinking, and cognition. Chicago: University of Chicago Press.
     ■ Markey, J. F. (1928). The symbolic process. London: Kegan Paul.
     ■ Martin, R. M. (1969). On Ziff's "Natural and formal languages." In S. Hook (Ed.), Language and philosophy: A symposium (pp. 249-263). New York: New York University Press.
     ■ Mazlish, B. (1993). The fourth discontinuity: the co- evolution of humans and machines. New Haven, CT: Yale University Press.
     ■ McCarthy, J., & P. J. Hayes (1969). Some philosophical problems from the standpoint of artificial intelligence. In B. Meltzer & D. Michie (Eds.), Machine intelligence 4. Edinburgh: Edinburgh University Press.
     ■ McClelland, J. L., D. E. Rumelhart & G. E. Hinton (1986). The appeal of parallel distributed processing. In D. E. Rumelhart, J. L. McClelland & the PDP Research Group (Eds.), Parallel distributed processing: Explorations in the mi crostructure of cognition (Vol. 1, pp. 3-40). Cambridge, MA: MIT Press/ Bradford Books.
     ■ McCorduck, P. (1979). Machines who think. San Francisco: W. H. Freeman.
     ■ McLaughlin, T. (1970). Music and communication. London: Faber & Faber.
     ■ Mednick, S. A. (1962). The associative basis of the creative process. Psychological Review 69, 431-436.
     ■ Meehl, P. E., & C. J. Golden (1982). Taxometric methods. In Kendall, P. C., & Butcher, J. N. (Eds.), Handbook of research methods in clinical psychology (pp. 127-182). New York: Wiley.
     ■ Mehler, J., E.C.T. Walker & M. Garrett (Eds.) (1982). Perspectives on mental rep resentation: Experimental and theoretical studies of cognitive processes and ca pacities. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Mill, J. S. (1900). A system of logic, ratiocinative and inductive: Being a connected view of the principles of evidence and the methods of scientific investigation. London: Longmans, Green.
     ■ Miller, G. A. (1979, June). A very personal history. Talk to the Cognitive Science Workshop, Cambridge, MA.
     ■ Miller, J. (1983). States of mind. New York: Pantheon Books.
     ■ Minsky, M. (1975). A framework for representing knowledge. In P. H. Winston (Ed.), The psychology of computer vision (pp. 211-277). New York: McGrawHill.
     ■ Minsky, M., & S. Papert (1973). Artificial intelligence. Condon Lectures, Oregon State System of Higher Education, Eugene, Oregon.
     ■ Minsky, M. L. (1986). The society of mind. New York: Simon & Schuster.
     ■ Mischel, T. (1976). Psychological explanations and their vicissitudes. In J. K. Cole & W. J. Arnold (Eds.), Nebraska Symposium on motivation (Vol. 23). Lincoln, NB: University of Nebraska Press.
     ■ Morford, M.P.O., & R. J. Lenardon (1995). Classical mythology (5th ed.). New York: Longman.
     ■ Murdoch, I. (1954). Under the net. New York: Penguin.
     ■ Nagel, E. (1959). Methodological issues in psychoanalytic theory. In S. Hook (Ed.), Psychoanalysis, scientific method, and philosophy: A symposium. New York: New York University Press.
     ■ Nagel, T. (1979). Mortal questions. London: Cambridge University Press.
     ■ Nagel, T. (1986). The view from nowhere. Oxford: Oxford University Press.
     ■ Neisser, U. (1967). Cognitive psychology. New York: Appleton-Century-Crofts.
     ■ Neisser, U. (1972). Changing conceptions of imagery. In P. W. Sheehan (Ed.), The function and nature of imagery (pp. 233-251). London: Academic Press.
     ■ Neisser, U. (1976). Cognition and reality. San Francisco: W. H. Freeman.
     ■ Neisser, U. (1978). Memory: What are the important questions? In M. M. Gruneberg, P. E. Morris & R. N. Sykes (Eds.), Practical aspects of memory (pp. 3-24). London: Academic Press.
     ■ Neisser, U. (1979). The concept of intelligence. In R. J. Sternberg & D. K. Detterman (Eds.), Human intelligence: Perspectives on its theory and measurement (pp. 179-190). Norwood, NJ: Ablex.
     ■ Nersessian, N. (1992). How do scientists think? Capturing the dynamics of conceptual change in science. In R. N. Giere (Ed.), Cognitive models of science (pp. 3-44). Minneapolis: University of Minnesota Press.
     ■ Newell, A. (1973a). Artificial intelligence and the concept of mind. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 1-60). San Francisco: W. H. Freeman.
     ■ Newell, A. (1973b). You can't play 20 questions with nature and win. In W. G. Chase (Ed.), Visual information processing (pp. 283-310). New York: Academic Press.
     ■ Newell, A., & H. A. Simon (1963). GPS: A program that simulates human thought. In E. A. Feigenbaum & J. Feldman (Eds.), Computers and thought (pp. 279-293). New York & McGraw-Hill.
     ■ Newell, A., & H. A. Simon (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.
     ■ Nietzsche, F. (1966). Beyond good and evil. W. Kaufmann (Trans.). New York: Vintage. (Originally published in 1885.)
     ■ Nilsson, N. J. (1971). Problem- solving methods in artificial intelligence. New York: McGraw-Hill.
     ■ Nussbaum, M. C. (1978). Aristotle's Princeton University Press. De Motu Anamalium. Princeton, NJ:
     ■ Oersted, H. C. (1920). Thermo-electricity. In Kirstine Meyer (Ed.), H. C. Oersted, Natuurvidenskabelige Skrifter (Vol. 2). Copenhagen: n.p. (Originally published in 1830 in The Edinburgh encyclopaedia.)
     ■ Ong, W. J. (1982). Orality and literacy: The technologizing of the word. London: Methuen.
     ■ Onians, R. B. (1954). The origins of European thought. Cambridge, MA: Cambridge University Press.
     ■ Osgood, C. E. (1960). Method and theory in experimental psychology. New York: Oxford University Press. (Originally published in 1953.)
     ■ Osgood, C. E. (1966). Language universals and psycholinguistics. In J. H. Greenberg (Ed.), Universals of language (2nd ed., pp. 299-322). Cambridge, MA: MIT Press.
     ■ Palmer, R. E. (1969). Hermeneutics. Evanston, IL: Northwestern University Press.
     ■ Peirce, C. S. (1934). Some consequences of four incapacities-Man, a sign. In C. Hartsborne & P. Weiss (Eds.), Collected papers of Charles Saunders Peirce (Vol. 5, pp. 185-189). Cambridge, MA: Harvard University Press.
     ■ Penfield, W. (1959). In W. Penfield & L. Roberts, Speech and brain mechanisms. Princeton, NJ: Princeton University Press.
     ■ Penrose, R. (1994). Shadows of the mind: A search for the missing science of conscious ness. Oxford: Oxford University Press.
     ■ Perkins, D. N. (1981). The mind's best work. Cambridge, MA: Harvard University Press.
     ■ Peterfreund, E. (1986). The heuristic approach to psychoanalytic therapy. In
     ■ J. Reppen (Ed.), Analysts at work, (pp. 127-144). Hillsdale, NJ: Analytic Press.
     ■ Piaget, J. (1952). The origin of intelligence in children. New York: International Universities Press. (Originally published in 1936.)
     ■ Piaget, J. (1954). Le langage et les opeґrations intellectuelles. Proble` mes de psycho linguistique. Symposium de l'Association de Psychologie Scientifique de Langue Francёaise. Paris: Presses Universitaires de France.
     ■ Piaget, J. (1977). Problems of equilibration. In H. E. Gruber & J. J. Voneche (Eds.), The essential Piaget (pp. 838-841). London: Routlege & Kegan Paul. (Originally published in 1975 as L'eґquilibration des structures cognitives [Paris: Presses Universitaires de France].)
     ■ Piaget, J., & B. Inhelder. (1973). Memory and intelligence. New York: Basic Books.
     ■ Pinker, S. (1994). The language instinct. New York: Morrow.
     ■ Pinker, S. (1996). Facts about human language relevant to its evolution. In J.-P. Changeux & J. Chavaillon (Eds.), Origins of the human brain. A symposium of the Fyssen foundation (pp. 262-283). Oxford: Clarendon Press. Planck, M. (1949). Scientific autobiography and other papers. F. Gaynor (Trans.). New York: Philosophical Library.
     ■ Planck, M. (1990). Wissenschaftliche Selbstbiographie. W. Berg (Ed.). Halle, Germany: Deutsche Akademie der Naturforscher Leopoldina.
     ■ Plato (1892). Meno. In The Dialogues of Plato (B. Jowett, Trans.; Vol. 2). New York: Clarendon. (Originally published circa 380 B.C.)
     ■ Poincareґ, H. (1913). Mathematical creation. In The foundations of science. G. B. Halsted (Trans.). New York: Science Press.
     ■ Poincareґ, H. (1921). The foundations of science: Science and hypothesis, the value of science, science and method. G. B. Halstead (Trans.). New York: Science Press.
     ■ Poincareґ, H. (1929). The foundations of science: Science and hypothesis, the value of science, science and method. New York: Science Press.
     ■ Poincareґ, H. (1952). Science and method. F. Maitland (Trans.) New York: Dover.
     ■ Polya, G. (1945). How to solve it. Princeton, NJ: Princeton University Press.
     ■ Polanyi, M. (1958). Personal knowledge. London: Routledge & Kegan Paul.
     ■ Popper, K. (1968). Conjectures and refutations: The growth of scientific knowledge. New York: Harper & Row/Basic Books.
     ■ Popper, K., & J. Eccles (1977). The self and its brain. New York: Springer-Verlag.
     ■ Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.
     ■ Putnam, H. (1975). Mind, language and reality: Philosophical papers (Vol. 2). Cambridge: Cambridge University Press.
     ■ Putnam, H. (1987). The faces of realism. LaSalle, IL: Open Court.
     ■ Pylyshyn, Z. W. (1981). The imagery debate: Analog media versus tacit knowledge. In N. Block (Ed.), Imagery (pp. 151-206). Cambridge, MA: MIT Press.
     ■ Pylyshyn, Z. W. (1984). Computation and cognition: Towards a foundation for cog nitive science. Cambridge, MA: MIT Press/Bradford Books.
     ■ Quillian, M. R. (1968). Semantic memory. In M. Minsky (Ed.), Semantic information processing (pp. 216-260). Cambridge, MA: MIT Press.
     ■ Quine, W.V.O. (1960). Word and object. Cambridge, MA: Harvard University Press.
     ■ Rabbitt, P.M.A., & S. Dornic (Eds.). Attention and performance (Vol. 5). London: Academic Press.
     ■ Rawlins, G.J.E. (1997). Slaves of the Machine: The quickening of computer technology. Cambridge, MA: MIT Press/Bradford Books.
     ■ Reid, T. (1970). An inquiry into the human mind on the principles of common sense. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 151-178). New York: Random House/Modern Library.
     ■ Reitman, W. (1970). What does it take to remember? In D. A. Norman (Ed.), Models of human memory (pp. 470-510). London: Academic Press.
     ■ Ricoeur, P. (1974). Structure and hermeneutics. In D. I. Ihde (Ed.), The conflict of interpretations: Essays in hermeneutics (pp. 27-61). Evanston, IL: Northwestern University Press.
     ■ Robinson, D. N. (1986). An intellectual history of psychology. Madison: University of Wisconsin Press.
     ■ Rorty, R. (1979). Philosophy and the mirror of nature. Princeton, NJ: Princeton University Press.
     ■ Rosch, E. (1977). Human categorization. In N. Warren (Ed.), Studies in cross cultural psychology (Vol. 1, pp. 1-49) London: Academic Press.
     ■ Rosch, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 27-48). Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Rosch, E., & B. B. Lloyd (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Rose, S. (1970). The chemistry of life. Baltimore: Penguin Books.
     ■ Rose, S. (1976). The conscious brain (updated ed.). New York: Random House.
     ■ Rose, S. (1993). The making of memory: From molecules to mind. New York: Anchor Books. (Originally published in 1992)
     ■ Roszak, T. (1994). The cult of information: A neo- Luddite treatise on high- tech, artificial intelligence, and the true art of thinking (2nd ed.). Berkeley: University of California Press.
     ■ Royce, J. R., & W. W. Rozeboom (Eds.) (1972). The psychology of knowing. New York: Gordon & Breach.
     ■ Rumelhart, D. E. (1977). Introduction to human information processing. New York: Wiley.
     ■ Rumelhart, D. E. (1980). Schemata: The building blocks of cognition. In R. J. Spiro, B. Bruce & W. F. Brewer (Eds.), Theoretical issues in reading comprehension. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Rumelhart, D. E., & J. L. McClelland (1986). On learning the past tenses of English verbs. In J. L. McClelland & D. E. Rumelhart (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 2). Cambridge, MA: MIT Press.
     ■ Rumelhart, D. E., P. Smolensky, J. L. McClelland & G. E. Hinton (1986). Schemata and sequential thought processes in PDP models. In J. L. McClelland, D. E. Rumelhart & the PDP Research Group (Eds.), Parallel Distributed Processing (Vol. 2, pp. 7-57). Cambridge, MA: MIT Press.
     ■ Russell, B. (1927). An outline of philosophy. London: G. Allen & Unwin.
     ■ Russell, B. (1961). History of Western philosophy. London: George Allen & Unwin.
     ■ Russell, B. (1965). How I write. In Portraits from memory and other essays. London: Allen & Unwin.
     ■ Russell, B. (1992). In N. Griffin (Ed.), The selected letters of Bertrand Russell (Vol. 1), The private years, 1884- 1914. Boston: Houghton Mifflin. Ryecroft, C. (1966). Psychoanalysis observed. London: Constable.
     ■ Sagan, C. (1978). The dragons of Eden: Speculations on the evolution of human intel ligence. New York: Ballantine Books.
     ■ Salthouse, T. A. (1992). Expertise as the circumvention of human processing limitations. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.
     ■ Sanford, A. J. (1987). The mind of man: Models of human understanding. New Haven, CT: Yale University Press.
     ■ Sapir, E. (1921). Language. New York: Harcourt, Brace, and World.
     ■ Sapir, E. (1964). Culture, language, and personality. Berkeley: University of California Press. (Originally published in 1941.)
     ■ Sapir, E. (1985). The status of linguistics as a science. In D. G. Mandelbaum (Ed.), Selected writings of Edward Sapir in language, culture and personality (pp. 160166). Berkeley: University of California Press. (Originally published in 1929).
     ■ Scardmalia, M., & C. Bereiter (1992). Literate expertise. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.
     ■ Schafer, R. (1954). Psychoanalytic interpretation in Rorschach testing. New York: Grune & Stratten.
     ■ Schank, R. C. (1973). Identification of conceptualizations underlying natural language. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 187-248). San Francisco: W. H. Freeman.
     ■ Schank, R. C. (1976). The role of memory in language processing. In C. N. Cofer (Ed.), The structure of human memory. (pp. 162-189) San Francisco: W. H. Freeman.
     ■ Schank, R. C. (1986). Explanation patterns: Understanding mechanically and creatively. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Schank, R. C., & R. P. Abelson (1977). Scripts, plans, goals, and understanding. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ SchroЁdinger, E. (1951). Science and humanism. Cambridge: Cambridge University Press.
     ■ Searle, J. R. (1981a). Minds, brains, and programs. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 282-306). Cambridge, MA: MIT Press.
     ■ Searle, J. R. (1981b). Minds, brains and programs. In D. Hofstadter & D. Dennett (Eds.), The mind's I (pp. 353-373). New York: Basic Books.
     ■ Searle, J. R. (1983). Intentionality. New York: Cambridge University Press.
     ■ Serres, M. (1982). The origin of language: Biology, information theory, and thermodynamics. M. Anderson (Trans.). In J. V. Harari & D. F. Bell (Eds.), Hermes: Literature, science, philosophy (pp. 71-83). Baltimore: Johns Hopkins University Press.
     ■ Simon, H. A. (1966). Scientific discovery and the psychology of problem solving. In R. G. Colodny (Ed.), Mind and cosmos: Essays in contemporary science and philosophy (pp. 22-40). Pittsburgh: University of Pittsburgh Press.
     ■ Simon, H. A. (1979). Models of thought. New Haven, CT: Yale University Press.
     ■ Simon, H. A. (1989). The scientist as a problem solver. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert Simon. Hillsdale, N.J.: Lawrence Erlbaum Associates.
     ■ Simon, H. A., & C. Kaplan (1989). Foundations of cognitive science. In M. Posner (Ed.), Foundations of cognitive science (pp. 1-47). Cambridge, MA: MIT Press.
     ■ Simonton, D. K. (1988). Creativity, leadership and chance. In R. J. Sternberg (Ed.), The nature of creativity. Cambridge: Cambridge University Press.
     ■ Skinner, B. F. (1974). About behaviorism. New York: Knopf.
     ■ Smith, E. E. (1988). Concepts and thought. In J. Sternberg & E. E. Smith (Eds.), The psychology of human thought (pp. 19-49). Cambridge: Cambridge University Press.
     ■ Smith, E. E. (1990). Thinking: Introduction. In D. N. Osherson & E. E. Smith (Eds.), Thinking. An invitation to cognitive science. (Vol. 3, pp. 1-2). Cambridge, MA: MIT Press.
     ■ Socrates. (1958). Meno. In E. H. Warmington & P. O. Rouse (Eds.), Great dialogues of Plato W.H.D. Rouse (Trans.). New York: New American Library. (Original publication date unknown.)
     ■ Solso, R. L. (1974). Theories of retrieval. In R. L. Solso (Ed.), Theories in cognitive psychology. Potomac, MD: Lawrence Erlbaum Associates.
     ■ Spencer, H. (1896). The principles of psychology. New York: Appleton-CenturyCrofts.
     ■ Steiner, G. (1975). After Babel: Aspects of language and translation. New York: Oxford University Press.
     ■ Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning. Hillsdale, NJ: Lawrence Erlbaum Associates.
     ■ Sternberg, R. J. (1994). Intelligence. In R. J. Sternberg, Thinking and problem solving. San Diego: Academic Press.
     ■ Sternberg, R. J., & J. E. Davidson (1985). Cognitive development in gifted and talented. In F. D. Horowitz & M. O'Brien (Eds.), The gifted and talented (pp. 103-135). Washington, DC: American Psychological Association.
     ■ Storr, A. (1993). The dynamics of creation. New York: Ballantine Books. (Originally published in 1972.)
     ■ Stumpf, S. E. (1994). Philosophy: History and problems (5th ed.). New York: McGraw-Hill.
     ■ Sulloway, F. J. (1996). Born to rebel: Birth order, family dynamics, and creative lives. New York: Random House/Vintage Books.
     ■ Thorndike, E. L. (1906). Principles of teaching. New York: A. G. Seiler.
     ■ Thorndike, E. L. (1970). Animal intelligence: Experimental studies. Darien, CT: Hafner Publishing Co. (Originally published in 1911.)
     ■ Titchener, E. B. (1910). A textbook of psychology. New York: Macmillan.
     ■ Titchener, E. B. (1914). A primer of psychology. New York: Macmillan.
     ■ Toulmin, S. (1957). The philosophy of science. London: Hutchinson.
     ■ Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organisation of memory. London: Academic Press.
     ■ Turing, A. (1946). In B. E. Carpenter & R. W. Doran (Eds.), ACE reports of 1946 and other papers. Cambridge, MA: MIT Press.
     ■ Turkle, S. (1984). Computers and the second self: Computers and the human spirit. New York: Simon & Schuster.
     ■ Tyler, S. A. (1978). The said and the unsaid: Mind, meaning, and culture. New York: Academic Press.
     ■ van Heijenoort (Ed.) (1967). From Frege to Goedel. Cambridge: Harvard University Press.
     ■ Varela, F. J. (1984). The creative circle: Sketches on the natural history of circularity. In P. Watzlawick (Ed.), The invented reality (pp. 309-324). New York: W. W. Norton.
     ■ Voltaire (1961). On the Penseґs of M. Pascal. In Philosophical letters (pp. 119-146). E. Dilworth (Trans.). Indianapolis: Bobbs-Merrill.
     ■ Wagman, M. (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. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. 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

  • 6 Artificial Intelligence

       In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)
       Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)
       Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....
       When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)
       4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, Eventually
       Just as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)
       Many problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)
       What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)
       [AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)
       The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)
       9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract Form
       The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)
       There are many different kinds of reasoning one might imagine:
        Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."
        Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)
       Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)
       Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)
       The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)
        14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory Formation
       It is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)
       We might distinguish among four kinds of AI.
       Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.
       Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.
    ... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)
       Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)
        16) Determination of Relevance of Rules in Particular Contexts
       Even if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)
       Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)
        18) The Assumption That the Mind Is a Formal System
       Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)
        19) A Statement of the Primary and Secondary Purposes of Artificial Intelligence
       The primary goal of Artificial Intelligence is to make machines smarter.
       The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)
       The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....
       AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)
        21) Perceptual Structures Can Be Represented as Lists of Elementary Propositions
       In artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)
       Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)
       Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)
       The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)

    Historical dictionary of quotations in cognitive science > Artificial Intelligence

  • 7 устройство

    attachment, apparatus, arrangement, assembly, device, element, facility, machine, gear, mean, project, rig, setup, station, structure, system, technology, unit, widget
    * * *
    устро́йство с.
    1. (приспособление, механизм и т. п.) apparatus, arrangement device, equipment, facility, means, gear
    2. (конструкция, расположение) arrangement, design
    благодаря́ тако́му устро́йству … — by this arrangement, …
    устро́йство авари́йной сигнализа́ции — alarm (device)
    устро́йство автомати́ческого выра́внивания с.-х. — self-levelling device
    автоно́мное устро́йство — self-contained unit
    автосцепно́е устро́йство — automatic coupler equipment
    амортизи́рующее устро́йство — shock absorber
    анало́говое устро́йство — analog device
    анало́говое, вычисли́тельное устро́йство — analog computing device
    анте́нное устро́йство (собственно антенна, привод и опора) — scanner (assembly)
    устро́йство АПВ эл. — automatic (circuit) recloser (см. тж. АПВ)
    арифмети́ческое устро́йство вчт. — arithmetic unit
    ба́зовое устро́йство ( в приборах со сменными блоками втычного типа) — mainframe
    балансиро́вочное устро́йство — balancer
    блоки́рующее устро́йство — interlock
    бры́згальное устро́йство — spraying device
    буквопеча́тающее устро́йство — полигр. character printing device; вчт. alphabetic printer
    букси́рное устро́йство — towing arrangement, towing gear
    бу́ферное устро́йство — buffer (unit)
    валоповоро́тное устро́йство — barring [jacking, shaft-turning] gear
    устро́йство вво́да — вчт. input device, input unit, input reader; ( перфокарточное) card reader
    устро́йство вво́да-вы́вода вчт. — input-output [I/ O] device
    взве́шивающее устро́йство — weigher
    видеоконтро́льное устро́йство [ВКУ] — picture monitor
    визи́рное устро́йство кфт. — finder system
    визи́рное, зерка́льное беспаралла́ксное устро́йство кфт. — (through-the-lens) reflex view-finder system
    вне́шние устро́йства вчт. — peripheral equipment
    водозабо́рное устро́йство — water intake
    водозабо́рное, высоконапо́рное устро́йство — high-pressure water intake
    водозабо́рное, низконапо́рное устро́йство — low-pressure water intake
    водоотво́дное устро́йство — drainage facility
    воздухоспускно́е устро́йство — air bleeder
    встря́хивающее устро́йство ( в пылевых фильтрах) — rapping gear
    входно́е устро́йство — input device, input unit
    устро́йство вы́вода — вчт. output device, output unit; ( с записью) output writer; ( с печатью) output printer; ( перфокарточное) (output) card punch
    выводно́е устро́йство полигр. — sheet delivery apparatus, delivery unit
    выпрямля́ющее устро́йство — rectifier (unit)
    вытяжно́е устро́йство — exhaust system
    вычисли́тельное устро́йство — computer, computing device
    вычисли́тельное, навигацио́нное устро́йство — navigation [flight] computer
    газоочистно́е устро́йство — gas-cleaning system, gas scrubber
    грузово́е устро́йство мор. — cargo(-handling) gear
    грузоподъё́мное устро́йство — hoisting apparatus, hoisting gear
    дальноме́рное устро́йство — distance-measuring device; ranging unit
    декоди́рующее устро́йство — decoder
    декомпрессио́нное устро́йство — decompressor
    демпфи́рующее устро́йство — damping device, damper; изм. dash-pot
    дифференци́рующее устро́йство вчт. — differential analyzer
    устро́йство для маркиро́вки проводо́в — wire-marking machine
    устро́йство для продо́льной ре́зки ле́нты полигр. — slitting machine
    дози́рующее устро́йство — metering device; (отвешивающее, отмеривающее и т. п.) measuring equipment
    дрена́жное устро́йство — drain(age) system
    дугогаси́тельное устро́йство эл. — arc control device
    забо́рное устро́йство — intake
    загру́зочное устро́йство — charging device
    задаю́щее устро́йство автмт. — reference-input element, reference-input unit, control-point setting device
    устро́йство заде́ржки — delay device
    зажи́мное устро́йство — clamping [holding] device
    заземля́ющее устро́йство — earthing [grounding] connection
    запомина́ющее устро́йство — вчт. storage, memory; брит. store
    выводи́ть из запомина́ющего устро́йства — retrieve from storage [from memory]
    засыла́ть в запомина́ющее устро́йство — transfer to [enter into] storage [memory]
    обраща́ться к запомина́ющему устро́йству — access, storage [memory]
    запомина́ющее, автоно́мное устро́йство — off-line storage, off-line memory
    запомина́ющее, ана́логовое устро́йство — analog storage, analog memory
    запомина́ющее, ассоциати́вное устро́йство — associative [content-addressable] memory
    запомина́ющее устро́йство без разруше́ния информа́ции (при счи́тывании) — nondestructive (read-out) storage, NDRO storage, nondestructive memory
    запомина́ющее, бу́ферное устро́йство — buffer storage, buffer memory
    запомина́ющее, быстроде́йствующее устро́йство — quick-access [rapid-access] storage, quick-access [rapid-access] memory
    запомина́ющее, вне́шнее устро́йство [ВЗУ] — external storage, external memory
    запомина́ющее, вну́треннее устро́йство — internal storage, internal memory
    запомина́ющее, вспомога́тельное устро́йство — auxiliary storage, auxiliary memory
    запомина́ющее, динами́ческое устро́йство — dynamic storage, dynamic memory
    запомина́ющее, долговре́менное устро́йство — permanent storage, permanent memory
    запомина́ющее, магни́тное устро́йство — magnetic storage, magnetic memory
    запомина́ющее, магнитострикцио́нное устро́йство — magnetostrictive (delay-line) storage, magnetostrictive (delay-line) memory
    запомина́ющее, ма́тричное устро́йство — matrix storage, matrix memory
    запомина́ющее устро́йство на бараба́нах — drum storage
    запомина́ющее устро́йство на ди́сках — disk storage, disk memory
    запомина́ющее устро́йство на ле́нтах — tape storage, tape memory
    запомина́ющее устро́йство на магни́тных ка́ртах — magnetic card storage, magnetic card memory
    запомина́ющее устро́йство на магни́тных плё́нках — magnetic-film storage, magnetic-film memory
    запомина́ющее устро́йство на магни́тных серде́чниках — magnetic-core storage, magnetic-core memory
    запомина́ющее устро́йство на перфоле́нтах — punch tape storage
    запомина́ющее устро́йство на три́ггерах — flip-flop storage, flip-flop memory
    запомина́ющее устро́йство на ферри́товых серде́чниках — (ferrite) core storage, (ferrite) core memory
    запомина́ющее устро́йство на электроннолучевы́х тру́бках — cathode-ray tube memory, cathode-ray tube storage
    запомина́ющее, односторо́ннее устро́йство — read-only memory, ROM
    запомина́ющее, операти́вное устро́йство — on-line storage, on-line memory
    запомина́ющее, опти́ческое устро́йство — optical storage, optical memory
    запомина́ющее, оптоэлектро́нное устро́йство — optoelectronic (data) storage, optoelectronic (data) memory
    запомина́ющее, после́довательное устро́йство — serial(-access) storage, serial(-access) memory
    запомина́ющее, постоя́нное устро́йство — permanent [fixed] storage, permanent [fixed] memory
    запомина́ющее, рабо́чее устро́йство — working storage, working memory
    запомина́ющее устро́йство с бы́строй вы́боркой — quick-access [rapid-access] memory
    запомина́ющее устро́йство с нестира́емой за́писью — nonerasable storage, nonerasable memory
    запомина́ющее устро́йство со стира́емой за́писью — erasable storage, erasable memory
    запомина́ющее устро́йство с поразря́дной вы́боркой — bit-organized memory
    запомина́ющее устро́йство с произво́льной вы́боркой — random access storage, random access memory
    запомина́ющее устро́йство с прямо́й вы́боркой ( слов или чисел) — word-organized [word-selection] storage, word-organized [word-selection] memory
    запомина́ющее устро́йство с разруше́нием информа́ции — volatile storage, volatile memory
    запомина́ющее устро́йство с совпаде́нием то́ков — coincident-current storage, coincident-current memory
    запомина́ющее устро́йство стати́ческого ти́па — static storage
    запомина́ющее устро́йство с центра́льным проце́ссором — on-line storage, on-line memory
    запомина́ющее, три́ггерное устро́йство — flip-flop storage, flip-flop memory
    запомина́ющее, цикли́ческое устро́йство — circulating [cyclic] storage, circulating [cyclic] memory
    запомина́ющее, электроннолучево́е устро́йство — cathode-ray tube memory
    заря́дное устро́йство — charging unit, charger
    заря́дное, аккумуля́торное устро́йство — battery charger
    защи́тное устро́йство — protection device; ( преимущественно механическое) safe-guard
    звукозапи́сывающее устро́йство — sound recorder
    золосмывно́е устро́йство — ash sluicing device
    золотопромы́вочное устро́йство — gold washer
    золоулови́тельное устро́йство — fly-ash collector
    измери́тельное устро́йство — measuring device
    индика́торное устро́йство рлк. — display unit, indicator (unit), (radar) scope
    интегри́рующее устро́йство — integrator
    ка́бельное устро́йство — cable (hauling) gear
    кернова́тельное устро́йство нефт. — catcher, (split-ring) core lifter, spring lifter, core gripper
    коди́рующее устро́йство — coding device, (en)coder
    колошнико́вое устро́йство — (blast-furnace) top arrangement
    колошнико́вое, загру́зочное устро́йство — top charging gear
    контро́льное устро́йство — monitor (ing device)
    концево́е, ка́бельное устро́йство — cable termination
    копирова́льное устро́йство ( пантограф) — pantograph
    корректи́рующее устро́йство
    1. автмт. compensator, compensating device, compensating network, equalizer
    предусма́тривать корректи́рующее устро́йство, напр. в цепи́ — use [place] a compensator around, e. g., a circuit
    2. полигр. error correcting device
    кра́новое устро́йство ( бурильной машины) — crown block
    ле́ерное устро́йство мор. — life lines, life rails
    лентопротя́жное устро́йство — tape transport, tape-moving device
    листовыводно́е устро́йство полигр. — sheet delivery apparatus
    листоотдели́тельное устро́йство полигр. — sheet-separating unit
    логи́ческое устро́йство — logic unit
    микрофо́нно-телефо́нное устро́йство — microphone-earphone device
    мно́жительно-дели́тельное устро́йство — multiplication-division unit
    мно́жительное устро́йство — multiplier unit
    модели́рующее устро́йство — simulator
    модели́рующее устро́йство в и́стинном масшта́бе вре́мени — real-time simulator
    набо́рное устро́йство ( телетайпа или стартстопного телеграфного аппарата) — selector mechanism
    нагру́зочное устро́йство — loading device
    нажимно́е устро́йство ( прокатного стана) — screw-down mechanism
    нака́тное устро́йство полигр. — inking unit
    накладно́е устро́йство полигр. — laying-in apparatus
    намо́точное устро́йство — coiler, winding machine
    натяжно́е устро́йство — ( для регулирования длины полосы) прок. bridle, bridling equipment; ( ременной или иной передачи) tensioning device; ( конвейера) take-up
    натяжно́е, винтово́е устро́йство — ( конвейера) screw take-up; ( ременной или иной передачи) screw tensioner
    натяжно́е, входно́е устро́йство прок. — entry bridle
    натяжно́е, выходно́е устро́йство прок. — exit bridle
    натяжно́е устро́йство цепно́й переда́чи — chain tightener
    устро́йство обега́ющего контро́ля — data logger
    устро́йство обрабо́тки да́нных — data processor
    устро́йство обрабо́тки информа́ции — data-processing unit
    оконе́чное устро́йство — terminal
    оповести́тельное устро́йство — annunciator
    опу́дривающее устро́йство пласт. — duster, powdering device
    ороси́тельное устро́йство — spraying device, spraying system
    освети́тельное устро́йство — lighting unit
    основно́е устро́йство вчт. — primary device
    отклоня́ющее устро́йство — deflector; (в осциллоскопах, кинескопах) deflection yoke
    отсо́сное устро́йство тепл. — aspirator
    паропромы́вочное устро́йство — steam washer, steam scrubber
    перегово́рное устро́йство — intercom, intercommunication(s) system, interphone system
    перегово́рное, самолё́тное устро́йство — (aircraft) intercommunication [interphone] system
    перезапи́сывающее устро́йство — transcriber
    переключа́ющее устро́йство — switching device
    переключа́ющее устро́йство регулиро́вки напряже́ния под нагру́зкой — on-load tap-changer
    петлево́е устро́йство прок. — looper
    печа́тающее устро́йство — printer
    печа́тающее, автоно́мное устро́йство — off-line printer
    печа́тающее устро́йство бараба́нного ти́па — drum-type printer
    печа́тающее, бу́квенно-цифрово́е устро́йство — alpha(nu)merical printer
    печа́тающее, выходно́е устро́йство — output printer
    печа́тающее устро́йство колё́сного ти́па — wheel printer
    печа́тающее, ма́тричное устро́йство — wire-matrix impact printer
    печа́тающее, неавтоно́мное устро́йство — on-line printer
    печа́тающее, операти́вное устро́йство ( работающее в системном режиме) — on-line printer
    печа́тающее, постро́чно устро́йство — line [line-at-a-time] printer
    печа́тающее, ротацио́нное устро́йство — on-the-fly printer
    печа́тающее, цепно́е устро́йство — chain printer
    печа́тающее, цифрово́е устро́йство — numeric(al) printer
    печа́тающее, шта́нговое устро́йство — bar printer
    печа́тающее, электромехани́ческое устро́йство — electromechanical printer
    печа́тающее, электро́нное устро́йство — electronic printer
    печа́тающее, электростати́ческое устро́йство — electrostatic printer
    пита́ющее устро́йство — feeding device, feeder
    погру́зочно-разгру́зочные устро́йства — handling facilities
    устро́йство подгото́вки входны́х да́нных вчт. — input preparation equipment
    подпи́точное устро́йство тепл. — make-up system
    подъё́мное устро́йство — hoisting equipment, hoisting gear
    предохрани́тельное устро́йство ( механического типа) — (safe) guard
    приводно́е устро́йство — drive
    противообледени́тельное устро́йство — ( предотвращающее образование льда) anti-icing device; ( удаляющее образовавшийся лёд) de-icer
    противоотма́рочное устро́йство полигр. — offset preventing unit
    противоперегру́зочное устро́йство ав. — anti-g device
    противопомпа́жное устро́йство — antisurge device
    противоуго́нное устро́йство — anti-theft device
    пусково́е устро́йство — starting device, starter
    путевы́е устро́йства — wayside apparatus, track arrangement
    радиопередаю́щее устро́йство — radio transmitter
    радиоприё́мное устро́йство — radio receiver
    развё́ртывающее устро́йство — scanner, scanning system
    развё́ртывающее устро́йство бараба́нного ти́па ( в фототелеграфии) — drum-type scanner
    развё́ртывающее устро́йство плоскостно́го ти́па ( в фототелеграфии) — flat-bed scanner
    развё́ртывающее устро́йство ти́па «бегу́щий луч» ( в фототелеграфии) — flying-spot scanner
    разгру́зочное устро́йство — unloading installation, discharging device
    раскатно́е устро́йство
    1. полигр. inker unit
    2. эл. reeling-out unit
    раска́точное устро́йство рез. — unwinding device
    устро́йство распознава́ния зна́ков — character recognition machine
    устро́йство распознава́ния о́бразов — pattern recognition machine
    распредели́тельное устро́йство эл. — switch-gear
    распредели́тельное, закры́тое устро́йство эл. — indoor switch-gear
    распредели́тельное, компле́ктное устро́йство эл. — factory-assembled switch-gear
    распредели́тельное, откры́тое устро́йство эл. — outdoor switch-gear
    распредели́тельное устро́йство сбо́рного ти́па эл. — cubicle-type switch-gear
    распы́ливающее устро́йство — sprayer unit
    рассти́лочное устро́йство с.-х. — spreading device
    расто́почное устро́йство — lighting-up equipment
    устро́йство регистра́ции произво́дственных да́нных — process data logger
    регули́рующее устро́йство — regulator [governor] device
    резе́рвное устро́йство — stand-by facility, back-up device
    рулево́е устро́йство мор. — steering gear
    рыбозащи́тное устро́йство — fish protection structure
    рыбопропускно́е устро́йство — fish pass
    устро́йство СДЦ с однокра́тным вычита́нием — single(-subtraction) canceller
    сма́зочное устро́йство — lubricator
    смеси́тельное устро́йство — mixing device, mixer
    согласу́ющее устро́йство — matching device
    спаса́тельное устро́йство мор. — life-saving appliance
    спусково́е устро́йство
    1. мор. launching arrangement
    2. кфт. (shutter) release
    сра́внивающее устро́йство — comparator
    ста́лкивающее устро́йство ( с конвейера) — tripper
    станцио́нные устро́йства — station accomodation, station facilities
    стира́ющее устро́йство — eraser
    сто́порное устро́йство ( сталеразливочного ковша) — stopper-rod device
    сужа́ющее устро́йство гидр. — restriction, contraction
    сумми́рующее устро́йство — ( аналоговое) summer, summator; ( цифровое) adder
    сцепно́е устро́йство — coupler
    счё́тно-реша́ющее устро́йство — computing device, computer
    счё́тно-реша́ющее, навигацио́нное устро́йство — navigation computer
    счи́тывающее устро́йство вчт. — reader, reading machine
    счи́тывающее, алфави́тно-цифрово́е устро́йство — alphanumeric reader
    счи́тывающее, опти́ческое устро́йство — optical reader
    счи́тывающее устро́йство, рабо́тающее с бума́жным носи́телем — paper reader
    счи́тывающее, фотоэлектри́ческое устро́йство — photoelectric reader
    счи́тывающее, электромехани́ческое устро́йство — electromechanical reader
    телеизмери́тельное устро́йство — telemetering device
    тормозно́е устро́йство ( для спуска судна на воду) — arresting [checking] arrangement
    транскоди́рующее устро́йство — transcoder
    тягодутьево́е устро́йство — draft system
    тя́нущее устро́йство ( волочильного стана) — draw-out equipment
    увлажни́тельное устро́йство лес. — humidifier
    устро́йство ультразвуково́й сва́рки — ultrasonic welding [bonding] machine
    уплотни́тельное устро́йство — sealing device
    устро́йство управле́ния — control unit
    устро́йство устано́вки нуля́ ( регулятора) — origin-shift device
    устано́вочное устро́йство — adjusting device, adjuster
    фазосдвига́ющее устро́йство — phase shifter
    фокуси́рующее устро́йство — focuser
    фотопеча́тающее устро́йство — photoprinter
    хрони́рующее устро́йство — timer, synchronizer
    цветодели́тельное устро́йство полигр. — colour separator
    цейтра́ферное устро́йство кфт. — time-lapse mechanism
    цепенатяжно́е устро́йство — chain tightener
    цифрово́е устро́йство — digital device
    чита́ющее устро́йство ( для чтения текстов) вчт. — reader, reading machine
    шварто́вное устро́йство — mooring gear, mooring arrangement
    шле́пперное устро́йство прок. — transfer arrangement
    шлю́почное устро́йство ( для спуска на воду) — boat(-handling) gear
    шумозащи́тное устро́йство на приё́м тлф. — receiving-and-antinoise device
    экипиро́вочное устро́йство ж.-д. — servicing facilities
    электро́нное устро́йство — electronic device
    электропрои́грывающее устро́йство («вертушка») — turntable
    я́корное устро́йство — anchor(-handling) gear
    я́корно-шварто́вное устро́йство — ground tackle

    Русско-английский политехнический словарь > устройство

  • 8 элемент

    cell, detail, device, (конструкции, машины, схемы) element, elementary unit, entry, (изображения, геометрической фигуры, топологии) feature, ( расчетной схемы) node, organ, ( данных) item вчт., (конструкции, машины, схемы, множества, массива) member, part, term, unit
    * * *
    элеме́нт м.
    1. (составная часть чего-л.) element, component
    3. (устройство, прибор) device, unit; ( иногда) element
    4. мат. element, quantity; ( треугольника) part
    5. (списка выходов, макрокоманды) вчт. entry
    элеме́нт аккумуля́торной батаре́и — storage(-battery) [accumulator] cell
    аккумуля́торный элеме́нт — storage(-battery) [accumulator] cell
    акти́вный элеме́нт — active element, active component
    элеме́нт аналити́ческой фу́нкции — element of an analytic function
    ана́логовый элеме́нт — analog element
    элеме́нт анте́нны — (aerial [antenna]) element
    элеме́нт анте́нны, акти́вный — radiating [directly excited] element
    элеме́нт анте́нны, пасси́вный — passive [parasitically excited] element
    арми́рующий элеме́нт стр. — reinforcing element
    бесконе́чно удалё́нные элеме́нты мат. — points at infinity, ideal points
    элеме́нты букв, выступа́ющие — ascenders
    элеме́нты букв, свиса́ющие — descenders
    элеме́нт вероя́тности — probability element
    элеме́нт Весто́на — Weston standard cell
    элеме́нт ви́хря — vortex element
    влагочувстви́тельный элеме́нт — humidity-sensitive element
    воспринима́ющий элеме́нт — sensing element, sensor
    воспринима́ющий, опти́ческий элеме́нт — optical sensor
    входно́й элеме́нт — input element
    элеме́нт вы́борки — sample unit
    элеме́нт вы́борочного пла́на мат. — plot
    выходно́й элеме́нт — output element
    элеме́нт вычисли́тельной маши́ны — computer element
    вычисли́тельный элеме́нт — computer element; ( в аналоговой технике) computing element
    гальвани́ческий элеме́нт — galvanic cell
    гальвани́ческий, возду́шно-ци́нковый элеме́нт — air-zinc cell
    гальвани́ческий, га́зовый элеме́нт — gas cell
    гальвани́ческий, контро́льный элеме́нт — pilot cell
    гальвани́ческий, концево́й элеме́нт — end cell
    гальвани́ческий, концентрацио́нный элеме́нт — concentration cell
    гальвани́ческий, необрати́мый элеме́нт — irreversible cell
    гальвани́ческий, обрати́мый элеме́нт — reversible cell
    гальвани́ческий, перви́чный элеме́нт — primary cell
    гальвани́ческий, у́гольный элеме́нт — carbon cell
    гистере́зисный элеме́нт — hysteretic element
    элеме́нт гла́вной диагона́ли определи́теля мат. — leading element in a determinant
    элеме́нт да́нных — data element, data item
    двои́чный элеме́нт вчт. — binary cell
    двухпозицио́нный элеме́нт вчт., элк. — two-position [two-stable state] element
    дискре́тный элеме́нт — discrete element, discrete component
    доче́рний элеме́нт физ. — daughter element
    элеме́нт жи́дкости — fluid element
    жи́дкостный элеме́нт — wet cell
    элеме́нт заде́ржки — delay element
    элеме́нт запомина́ющего устро́йства — storage [memory] element
    запомина́ющий элеме́нт — storage [memory] element, storage [memory] cell (Не путать с яче́йкой па́мяти. Not to be confused with storage register, storage location)
    запомина́ющий элеме́нт нахо́дится в (состоя́нии) «0» или «1» — the storage [memory] cell is in a “0” or a “1” state
    устана́вливать запомина́ющий элеме́нт в (состоя́ние) «0» или «1» — set the storage [memory] cell to a “0” or “1” state
    звукоизлуча́ющий элеме́нт — acoustic radiating element
    звукоприё́мный элеме́нт — sound pick-up element
    элеме́нт И — AND element
    избы́точный элеме́нт — redundant element
    измери́тельный элеме́нт — measuring element
    элеме́нт изображе́ния тлв. — picture element, elemental area
    элеме́нт ИЛИ — OR element
    иммерсио́нный элеме́нт ( полупроводникового фотоприёмника) — immersion element
    и́мпульсный элеме́нт автмт. — sampler
    инверти́рующий элеме́нт — inverting element
    интегра́льный элеме́нт элк. — integrated (circuit) element
    исхо́дный элеме́нт физ. — parent element; original element
    коммутацио́нный элеме́нт элк. — switching element
    элеме́нт констру́кции стр. — member
    элеме́нт констру́кции, несу́щий — bearing member
    элеме́нт констру́кции, попере́чный — cross member
    элеме́нт констру́кции, продо́льный — longitudinal member
    элеме́нт констру́кции, рабо́тающий на изги́б — member in bending
    элеме́нт констру́кции, рабо́тающий на круче́ние — member in torsion
    элеме́нт констру́кции, рабо́тающий на растяже́ние — member in tension
    элеме́нт констру́кции, рабо́тающий на сжа́тие — compressional member, (compression) strut
    элеме́нт констру́кции, рабо́тающий на срез — member in shear
    элеме́нт констру́кции, уси́ливающий — reinforcing member, stiffener
    конта́ктный элеме́нт эл. — contact element, contact electrode
    криоге́нный элеме́нт — cryogenic element
    леги́рующий элеме́нт
    1. метал. alloying element
    2. полупр. doping element
    логи́ческий элеме́нт ( ЦВМ) — logic element, gate
    набо́р логи́ческих элеме́нтов облада́ет функциона́льной полното́й — the set of gates is functionally complete
    логи́ческий, запомина́ющий элеме́нт — storage [memory, sequential] element
    логи́ческий элеме́нт И — AND gate, AND circuit
    логи́ческий элеме́нт ИЛИ — OR gate, OR circuit
    логи́ческий элеме́нт ИЛИ-НЕ — NOR gate, NOR circuit
    логи́ческий элеме́нт И-НЕ — NAND gate, NAND circuit
    логи́ческий, комбинацио́нный элеме́нт — combinational [decision, memoryless] element, gate
    логи́ческий, мажорита́рный элеме́нт — majority (logic) element
    логи́ческий, микроминиатю́рный (мо́дульный) элеме́нт — micrologic element
    логи́ческий элеме́нт НЕ — NOT [inverter] gate, NOT [inverter] circuit
    логи́ческий, поро́говый элеме́нт — threshold element
    логи́ческий, реша́ющий элеме́нт — decision [memoryless, combinational] element, gate
    выходно́й сигна́л реша́ющего логи́ческого элеме́нта определя́ется комбина́цией входны́х сигна́лов — the output of a decision element is produced by a combination of inputs
    магни́тный элеме́нт — magnetic element
    магни́тный, многоды́рочный элеме́нт — magnetic multiaperture element
    элеме́нт ма́ссы — element of mass
    матери́нский элеме́нт физ. — parent element
    ма́тричный элеме́нт мат. — matrix element, element of a matrix
    ме́стный элеме́нт — local (galvanic) call
    элеме́нт микросхе́мы — integrated-circuit [IC] element
    элеме́нт мише́ни ( в ЭЛТ) — target element
    мо́крый элеме́нт — wet cell
    монокристалли́ческий элеме́нт — single-crystal element
    навесно́й элеме́нт элк. — interconnection [discrete interconnected] component
    нагрева́тельный элеме́нт — heating element
    элеме́нт на твё́рдом те́ле — solid-state element
    невзаи́мный элеме́нт — nonreciprocal [unidirectional] element
    нелине́йный элеме́нт — non-linear element
    нерабо́чий элеме́нт вчт. — inactive entry
    несо́бственные элеме́нты мат. — points at infinity, ideal points
    норма́льный элеме́нт ( как мера эдс) — standard cell
    норма́льный, насы́щенный элеме́нт — saturated standard cell
    норма́льный, ненасы́щенный элеме́нт — unsaturated standard cell
    обра́тный элеме́нт мат. — inverse
    элеме́нт объё́ма мат. — volume element, element [differential] of volume, cell
    опо́рный элеме́нт ( отсчёта или сравнения) — reference element
    оптикоэлектро́нный элеме́нт — optoelectronic element
    опти́ческий элеме́нт автомоби́льной фа́ры — (lamp) sealed-beam unit, headlamp insert
    опти́ческий, реле́йный элеме́нт — photorelay, photoelectric [light] relay, photo-switch
    элеме́нты орби́ты — elements of an orbit
    параметри́ческий элеме́нт элк. — parametric element
    печа́тающие элеме́нты полигр. — printing areas
    печа́тный элеме́нт вчт. — printed component
    плё́ночный элеме́нт элк. — (thin-)film component
    элеме́нт пове́рхности мат. — surface element
    поглоща́ющий элеме́нт элк. — dissipative element
    элеме́нт подве́ски — spring unit
    элеме́нт подве́ски, упру́гий — springing medium
    полоско́вый элеме́нт элк. — strip element
    при́месный элеме́нт полупр. — impurity element
    пробе́льный элеме́нт полигр. — spacing material
    элеме́нт, рабо́тающий в преде́льном режи́ме элк. — marginal component
    развё́ртывающий элеме́нт тлв. — picture element, elemental area
    выделя́ть развё́ртывающий элеме́нт на передава́емом изображе́нии ( в фототелеграфе) — scan the subject-copy
    элеме́нт ра́стра тлв. — picture element, elemental area
    ра́стровый элеме́нт тлв. — picture element, elemental area
    резе́рвный элеме́нт т. над. — redundant element
    элеме́нт свя́зи радио, элк. — coupling element
    связу́ющий элеме́нт хим. — binder
    сегнетоэлектри́ческий элеме́нт — ferroelectric element
    элеме́нт с жи́дким электроли́том — wet cell
    силово́й элеме́нт
    1. маш. load-bearing element
    2. стр. load-bearing member
    элеме́нт следя́щей систе́мы автмт. — servo element
    со́лнечный элеме́нт — solar cell
    со́лнечный, кре́мниевый элеме́нт — silicon solar cell
    со́лнечный, тонкоплё́ночный элеме́нт — thin-film solar cell
    сопряжё́нный элеме́нт мат. — transform
    стру́йный элеме́нт автмт. — fluidic element
    сумми́рующий элеме́нт вчт. — adding element
    сухо́й элеме́нт — dry cell
    элеме́нты сфери́ческого треуго́льника — circular parts
    элеме́нты сфе́ры мат. — median section; gore
    схе́мный элеме́нт — circuit element
    тепловыделя́ющий элеме́нт ( реактора) — fuel element
    термоэлектри́ческий элеме́нт — thermocouple, thermojunction (см. тж. термопара)
    ти́тульные элеме́нты кни́ги — front matter
    тонкоплё́ночный элеме́нт — thin-film component
    то́пливный элеме́нт — fuel cell
    элеме́нт траекто́рии астр., косм. — elements of a trajectory
    управля́емый элеме́нт автмт. — controlled element
    управля́ющий элеме́нт автмт. — control element
    ферри́товый элеме́нт — ferrite element
    ферри́товый, разветвлё́нный элеме́нт — multipath ferrite structure
    ферромагни́тный элеме́нт — ferromagnetic element
    фильтру́ющий элеме́нт — filter element
    фильтру́ющий, во́йлочный элеме́нт — felt filter element
    элеме́нт форма́та ( данных) вчт. — format item
    фотовольтаи́ческий элеме́нт — photovoltaic cell
    фотогальвани́ческий элеме́нт — photovoltaic cell
    фотохими́ческий элеме́нт — photochemical cell
    фотоэлектри́ческий элеме́нт — photocell, photoelectric cell
    функциона́льный элеме́нт элк. — functional element
    хими́ческий элеме́нт — chemical element
    хими́ческий, лё́гкий элеме́нт — light element
    хими́ческий, радиоакти́вный элеме́нт — radioactive element
    хими́ческий, редкоземе́льный элеме́нт — rare earth element
    хими́ческий элеме́нт с больши́м а́томным но́мером — high-Z element
    хими́ческий элеме́нт с ма́лым а́томным но́мером — low-Z element
    хими́ческий, трансура́новый элеме́нт — transuranium element
    хими́ческий, тяжё́лый элеме́нт — heavy element
    элеме́нт це́пи — circuit element
    чувстви́тельный элеме́нт — sensing element, sensor
    электролити́ческий элеме́нт — electrolytic cell
    электронагрева́тельный элеме́нт — electric heating element
    электронагрева́тельный, тру́бчатый элеме́нт — tubular electric heating element

    Русско-английский политехнический словарь > элемент

  • 9 tarjeta

    f.
    card (gen) & (computing).
    tarjeta postal postcard
    tarjeta sanitaria = card bearing national insurance number and doctor's address
    tarjeta amarilla/roja (sport) yellow/red card
    tarjeta de compra store card, charge card
    tarjeta de crédito credit card
    tarjeta de débito debit card
    tarjeta de embarque boarding pass
    tarjeta multiviaje travel pass
    * * *
    1 card
    \
    tarjeta amarilla yellow card
    tarjeta censal polling card
    tarjeta de débito debit card
    tarjeta de cliente customer card
    tarjeta de crédito credit card
    tarjeta de embarque boarding card
    tarjeta de expansión expansion card
    tarjeta de felicitación greetings card
    tarjeta de memoria memory card, chip card
    tarjeta de residencia residence permit
    tarjeta de sonido sound card
    tarjeta de vídeo video card
    tarjeta de visita visiting card, US calling card
    tarjeta magnética swipe card
    tarjeta multiviaje travel card
    tarjeta perforada punch card, punched card
    tarjeta postal postcard
    tarjeta roja red card
    * * *
    noun f.
    * * *
    SF card

    tarjeta amarilla — (Dep) yellow card

    tarjeta bancaria — banker's card, bank card

    tarjeta de circuitos — (Inform) circuit board

    tarjeta de felicitación — greetings card, greeting card (EEUU)

    tarjeta de prepago — [de móvil] prepaid card

    tarjeta de saludo — greetings card, greeting card (EEUU)

    tarjeta de video — LAm video card

    tarjeta de visita — business card, visiting card

    tarjeta gráfica — (Inform) graphics card

    tarjeta roja — (Dep) red card

    tarjeta verde — Méx (=visado) Green Card (EEUU)

    * * *
    femenino card

    marcar (AmL) or (Méx) checar tarjeta — to clock in/out, punch in/out (AmE)

    * * *
    ----
    * aceptar tarjeta de crédito = honour + credit card.
    * datos de la tarjeta de crédito = credit card details.
    * número de la tarjeta de crédito = credit card number.
    * número de tarjeta de proceso = transaction card number.
    * pago mediante tarjeta = card payment.
    * pasar una tarjeta por un lector electrónico = swipe.
    * sistema de acceso mediante tarjeta = card access system.
    * sistema de entrada mediante tarjetas = card-entry system.
    * tarjeta amarilla = yellow card.
    * tarjeta añadida = add-on card.
    * tarjeta de acceso = swipecard.
    * tarjeta de aceleración = accelerator board.
    * tarjeta de banda magnética = swipecard.
    * tarjeta de crédito = credit card.
    * tarjeta de débito = debit card.
    * tarjeta de embarque = boarding pass, boarding card.
    * tarjeta de felicitación = greeting card [greetings card], congratulatory card.
    * tarjeta de gráficos = graphics card.
    * tarjeta de identificación = identification card.
    * tarjeta de interrogación = poll card.
    * tarjeta de invitación = invitation card.
    * tarjeta de invitación de boda = wedding invitation card.
    * tarjeta de lector = borrower's card, borrower's identification badge, reader's card.
    * tarjeta del lector = borrower identification label.
    * tarjeta de ordenador = computer card.
    * tarjeta de presentación = business card, calling card, visiting card.
    * tarjeta de proceso = transaction card.
    * tarjeta de San Valentín = valentine.
    * tarjeta de sonido = sound card.
    * tarjeta de vídeo = video card.
    * tarjeta de visita = calling card, carte de visite, visiting card, business card.
    * tarjeta identificativa = badge, name badge.
    * tarjeta inteligente = smart card [smartcard].
    * tarjeta perforada = punched card.
    * tarjeta postal = postcard, picture postcard.
    * tarjeta prepago = prepaid card.
    * tarjeta roja = red card.
    * tarjeta telefónica = calling card, telephone card.
    * tarjeta verde = green card.
    * titular de la tarjeta = cardholder.
    * * *
    femenino card

    marcar (AmL) or (Méx) checar tarjeta — to clock in/out, punch in/out (AmE)

    * * *
    * aceptar tarjeta de crédito = honour + credit card.
    * datos de la tarjeta de crédito = credit card details.
    * número de la tarjeta de crédito = credit card number.
    * número de tarjeta de proceso = transaction card number.
    * pago mediante tarjeta = card payment.
    * pasar una tarjeta por un lector electrónico = swipe.
    * sistema de acceso mediante tarjeta = card access system.
    * sistema de entrada mediante tarjetas = card-entry system.
    * tarjeta amarilla = yellow card.
    * tarjeta añadida = add-on card.
    * tarjeta de acceso = swipecard.
    * tarjeta de aceleración = accelerator board.
    * tarjeta de banda magnética = swipecard.
    * tarjeta de crédito = credit card.
    * tarjeta de débito = debit card.
    * tarjeta de embarque = boarding pass, boarding card.
    * tarjeta de felicitación = greeting card [greetings card], congratulatory card.
    * tarjeta de gráficos = graphics card.
    * tarjeta de identificación = identification card.
    * tarjeta de interrogación = poll card.
    * tarjeta de invitación = invitation card.
    * tarjeta de invitación de boda = wedding invitation card.
    * tarjeta de lector = borrower's card, borrower's identification badge, reader's card.
    * tarjeta del lector = borrower identification label.
    * tarjeta de ordenador = computer card.
    * tarjeta de presentación = business card, calling card, visiting card.
    * tarjeta de proceso = transaction card.
    * tarjeta de San Valentín = valentine.
    * tarjeta de sonido = sound card.
    * tarjeta de vídeo = video card.
    * tarjeta de visita = calling card, carte de visite, visiting card, business card.
    * tarjeta identificativa = badge, name badge.
    * tarjeta inteligente = smart card [smartcard].
    * tarjeta perforada = punched card.
    * tarjeta postal = postcard, picture postcard.
    * tarjeta prepago = prepaid card.
    * tarjeta roja = red card.
    * tarjeta telefónica = calling card, telephone card.
    * tarjeta verde = green card.
    * titular de la tarjeta = cardholder.
    * * *
    card
    marcar ( AmL) or ( Méx): checar tarjeta to clock in/out, punch in/out ( AmE)
    Compuestos:
    ( Dep) yellow card
    le mostró or sacó (la) tarjeta amarilla he showed him the yellow card
    (Col, Ven) ( Mil) draft card
    swipe card
    debit card
    ( Fin) credit card
    ( Esp): tirar de la tarjeta de crédito to make use of one's credit card
    ( AmL) ( Fin) debit card
    ( Transp) boarding pass o card
    student card
    ( Inf) expansion card
    ( Marketing) loyalty card
    ( Inf) memory card
    Christmas card
    business card, visiting card
    ( AmL) scratch card
    ( Esp) scratch card
    ( Electrón) sound card
    ● tarjeta de video or ( Esp) vídeo
    ( Electrón) video card
    card, business card, calling card ( AmE), visiting card ( BrE)
    ● tarjeta gráfica or digitalizadora
    graphics card
    ( Inf) wireless card
    ( Electrón) smart card
    ( Inf) multimedia card
    punch card
    postcard
    ( Telec) top-up card
    red card
    le mostró or sacó (la) tarjeta roja he showed him the red card
    ( Electrón) ROM card
    ( Med) European Health Insurance Card
    ( Telec) SIM card
    ( Telec) phonecard
    ( Der, Transp) green card
    * * *

     

    tarjeta sustantivo femenino
    card;
    marcar (AmL) or (Méx) checar tarjeta to clock in/out, punch in/out (AmE);
    ◊ tarjeta amarilla/roja yellow/red card;

    tarjeta de crédito credit card;
    tarjeta de embarque boarding pass o card;
    tarjeta de Navidad Christmas card;
    tarjeta de prepago top-up card;
    tarjeta de visita or (Méx) de presentación ( personal) visiting card;

    ( de negocios) business card;
    ◊ tarjeta postal/telefónica postcard/phonecard

    tarjeta sustantivo femenino card
    tarjeta de crédito, credit card
    tarjeta de embarque, boarding pass o card
    tarjeta postal, postcard
    tarjeta telefónica, phonecard
    Inform tarjeta de sonido, sound card
    Dep tarjeta amarilla/roja, yellow/red card

    ' tarjeta' also found in these entries:
    Spanish:
    dorso
    - embarque
    - felicitación
    - ficha
    - pagar
    - picar
    - postal
    - perforar
    - retener
    - tragar
    English:
    boarding card
    - boarding pass
    - book
    - business card
    - calling card
    - card
    - cardholder
    - cash card
    - charge card
    - Christmas card
    - compliment
    - credit card
    - get-well card
    - green card
    - greeting card
    - interested
    - phonecard
    - postcard
    - railcard
    - valentine
    - visiting
    - wherever
    - bank
    - boarding
    - by
    - charge
    - Christmas
    - clock
    - credit
    - debit
    - greeting
    - him
    - loyalty
    - phone
    - post
    - punch
    - swipe
    - top
    * * *
    1. [para presentación, pagos, transporte] card
    tarjeta bancaria bank card;
    tarjeta de cliente customer card;
    tarjeta de compra store card, charge card;
    tarjeta de crédito credit card;
    tarjeta de débito debit card;
    tarjeta de embarque boarding pass;
    tarjeta de felicitación greetings card;
    Com tarjeta de fidelización loyalty card;
    tarjeta identificativa identity badge;
    tarjeta inteligente smart card;
    tarjeta magnética card with a magnetic strip;
    tarjeta monedero electronic wallet;
    tarjeta multiviaje travel pass;
    tarjeta de Navidad Christmas card;
    tarjeta postal postcard;
    Tel tarjeta (de) prepago pre-paid card; Tel tarjeta de recarga Br top-up card, US pre-paid calling card;
    tarjeta sanitaria = card bearing personal identification number and doctor's address;
    tarjeta sanitaria europea European Health Insurance Card;
    Tel tarjeta SIM SIM card;
    tarjeta de visita visiting card, US calling card
    2. [en deportes] card
    tarjeta amarilla yellow card;
    tarjeta roja red card
    3. Informát card
    tarjeta aceleradora acceleration card;
    tarjeta de ampliación expansion card;
    tarjeta caché cache card;
    tarjeta de expansión expansion card;
    tarjeta lógica logic card;
    tarjeta perforada punched card;
    tarjeta de registro registration card;
    tarjeta de sonido sound card;
    tarjeta de vídeo video card
    * * *
    f card
    * * *
    : card
    tarjeta de crédito: credit card
    tarjeta postal: postcard
    * * *
    tarjeta n card
    tarjeta de embarque boarding card / boarding pass

    Spanish-English dictionary > tarjeta

  • 10 Noyce, Robert

    [br]
    b. 12 December 1927 Burlington, Iowa, USA
    [br]
    American engineer responsible for the development of integrated circuits and the microprocessor chip.
    [br]
    Noyce was the son of a Congregational minister whose family, after a number of moves, finally settled in Grinnell, some 50 miles (80 km) east of Des Moines, Iowa. Encouraged to follow his interest in science, in his teens he worked as a baby-sitter and mower of lawns to earn money for his hobby. One of his clients was Professor of Physics at Grinnell College, where Noyce enrolled to study mathematics and physics and eventually gained a top-grade BA. It was while there that he learned of the invention of the transistor by the team at Bell Laboratories, which included John Bardeen, a former fellow student of his professor. After taking a PhD in physical electronics at the Massachusetts Institute of Technology in 1953, he joined the Philco Corporation in Philadelphia to work on the development of transistors. Then in January 1956 he accepted an invitation from William Shockley, another of the Bell transistor team, to join the newly formed Shockley Transistor Company, the first electronic firm to set up shop in Palo Alto, California, in what later became known as "Silicon Valley".
    From the start things at the company did not go well and eventually Noyce and Gordon Moore and six colleagues decided to offer themselves as a complete development team; with the aid of the Fairchild Camera and Instrument Company, the Fairchild Semiconductor Corporation was born. It was there that in 1958, contemporaneously with Jack K. Wilby at Texas Instruments, Noyce had the idea for monolithic integration of transistor circuits. Eventually, after extended patent litigation involving study of laboratory notebooks and careful examination of the original claims, priority was assigned to Noyce. The invention was most timely. The Apollo Moon-landing programme announced by President Kennedy in May 1961 called for lightweight sophisticated navigation and control computer systems, which could only be met by the rapid development of the new technology, and Fairchild was well placed to deliver the micrologic chips required by NASA.
    In 1968 the founders sold Fairchild Semicon-ductors to the parent company. Noyce and Moore promptly found new backers and set up the Intel Corporation, primarily to make high-density memory chips. The first product was a 1,024-bit random access memory (1 K RAM) and by 1973 sales had reached $60 million. However, Noyce and Moore had already realized that it was possible to make a complete microcomputer by putting all the logic needed to go with the memory chip(s) on a single integrated circuit (1C) chip in the form of a general purpose central processing unit (CPU). By 1971 they had produced the Intel 4004 microprocessor, which sold for US$200, and within a year the 8008 followed. The personal computer (PC) revolution had begun! Noyce eventually left Intel, but he remained active in microchip technology and subsequently founded Sematech Inc.
    [br]
    Principal Honours and Distinctions
    Franklin Institute Stuart Ballantine Medal 1966. National Academy of Engineering 1969. National Academy of Science. Institute of Electrical and Electronics Engineers Medal of Honour 1978; Cledo Brunetti Award (jointly with Kilby) 1978. Institution of Electrical Engineers Faraday Medal 1979. National Medal of Science 1979. National Medal of Engineering 1987.
    Bibliography
    1955, "Base-widening punch-through", Proceedings of the American Physical Society.
    30 July 1959, US patent no. 2,981,877.
    Further Reading
    T.R.Reid, 1985, Microchip: The Story of a Revolution and the Men Who Made It, London: Pan Books.
    KF

    Biographical history of technology > Noyce, Robert

  • 11 система

    complex, chain, installation, method, repertoire вчт., repertory, structure, system
    * * *
    систе́ма ж.
    system
    дубли́ровать систе́му — duplicate a system
    отла́живать систе́му — tune up a system
    систе́ма функциони́рует норма́льно киб. — the system is well-behaved
    авари́йная систе́ма ав. — emergency system
    систе́ма авари́йного покида́ния ( самолёта) — escape system
    автомати́ческая систе́ма — automatic system
    систе́ма автомати́ческого регули́рования [САР] — automatic-control system of the regulator(y) type
    систе́ма автомати́ческого регули́рования, де́йствующая по отклоне́нию — error-actuated control system
    систе́ма автомати́ческого регули́рования, за́мкнутая — closed-loop control system
    систе́ма автомати́ческого регули́рования, и́мпульсная — sampling control system
    систе́ма автомати́ческого регули́рования, многоё́мкостная — multicapacity control system
    систе́ма автомати́ческого регули́рования, многоко́нтурная — multiloop control system
    систе́ма автомати́ческого регули́рования, многоме́рная — multivariable control system
    систе́ма автомати́ческого регули́рования, програ́ммная — time-pattern control system
    систе́ма автомати́ческого регули́рования, разо́мкнутая — open-loop control system
    систе́ма автомати́ческого регули́рования следя́щего ти́па — servo-operation control system
    систе́ма автомати́ческого регули́рования со случа́йными возде́йствиями, и́мпульсная — random-input sampled-data system
    систе́ма автомати́ческого регули́рования со стабилиза́цией (проце́сса) — regulator-operation control system
    систе́ма автомати́ческого управле́ния [САУ] — automatic-control system
    систе́ма автомати́ческого управле́ния, цифрова́я — digital control system
    систе́ма автоподстро́йки частоты́ [АПЧ] — AFC system
    систе́ма АПЧ захва́тывает частоту́ — the AFC system locks on to the (desired) frequency
    систе́ма АПЧ осуществля́ет по́иск частоты́ — the AFC system searches for the (desired) frequency
    систе́ма автоподстро́йки частоты́, фа́зовая [ФАПЧ] — phase-lock loop, PLL
    агрега́тная, унифици́рованная систе́ма ( советская система пневматических средств автоматики) — standard-module pneumatic instrumentation system
    адапти́вная систе́ма — adaptive system
    апериоди́ческая систе́ма — critically damped system
    асинхро́нная систе́ма — asynchronous system
    астати́ческая систе́ма — zero-constant-error system
    астати́ческая систе́ма второ́го поря́дка — Type 2 [zero-velocity-error] system
    астати́ческая систе́ма пе́рвого поря́дка — Type 1 [zero-position-error] system
    систе́ма без резерви́рования — non-redundant system
    систе́ма блокиро́вки ( радиационной установки) — interlock system
    систе́ма ва́ла ( в допусках и посадках) — the basic shaft system
    вентиляцио́нная систе́ма — ventilation system
    вентиляцио́нная, вытяжна́я систе́ма — exhaust ventilation system
    взаи́мные систе́мы — mutual systems
    систе́ма водоснабже́ния — water(-supply) system
    систе́ма водоснабже́ния, оборо́тная — circulating [closed-circuit] water system
    систе́ма водоснабже́ния, прямото́чная — once-through [run-of-river cooling] system
    систе́ма возду́шного отопле́ния — warm-air heating system
    систе́ма воспроизведе́ния ( записи) — reproduction system
    систе́ма впры́ска двс. — injection system
    систе́ма впры́ска, предка́мерная двс. — antechamber system of injection
    систе́ма впу́ска двс. — induction [intake] system
    систе́ма вы́борки вчт. — selection system
    вытяжна́я систе́ма — exhaust system
    вычисли́тельная систе́ма — computer [computing] system
    вычисли́тельная, многома́шинная систе́ма — multicomputer system
    систе́ма генера́тор — дви́гатель — Ward-Leonard speed-control system
    гибри́дная систе́ма — hybrid system
    систе́ма громкоговоря́щей свя́зи — public-address [personnel-address, PA] system
    грузова́я систе́ма мор. — cargo (handling) system
    двухкомпоне́нтная систе́ма хим. — two-component [binary] system
    двухни́точная систе́ма тепл. — two-flow system
    двухпроводна́я систе́ма эл. — two-wire system
    двухэлектро́дная систе́ма ( электроннооптического преобразователя) — self-focusing (diod) system
    диспе́рсная систе́ма — disperse system
    диссипати́вная систе́ма — dissipative system
    систе́ма дистанцио́нного управле́ния — remote control system
    диффере́нтная систе́ма мор. — trim system
    дифференциа́льная систе́ма тлф. — hybrid set
    систе́ма дождева́ния — sprinkling system
    систе́ма до́пусков — tolerance system
    систе́ма до́пусков, двусторо́нняя [симметри́чная], преде́льная — bilateral system of tolerances
    систе́ма до́пусков и поса́док — system [classification] of fits and tolerances
    систе́ма до́пусков, односторо́нняя [асимметри́чная], преде́льная — unilateral system of tolerances
    систе́ма дрена́жа ( топливных баков) ав. — vent system
    систе́ма едини́ц — system of units
    систе́ма едини́ц, междунаро́дная [СИ] — international system of units, SI
    систе́ма едини́ц МКГСС уст. — MKGSS [metre-kilogram(me)-force-second ] system (of units)
    систе́ма едини́ц МКС — MKS [metre-kilogram(me)-second ] system (of units)
    систе́ма едини́ц МКСА — MKSA [metre-kilogram(me)-mass-second-ampere ] system (of units), absolute practical system of units
    систе́ма едини́ц МКСГ — MKSG [metre-kilogram(me)-force-second-kelvin ] system (of units)
    систе́ма едини́ц МСС — MSC [metre-second-candela] system (of units)
    систе́ма едини́ц МТС — MTS [metre-ton-second] system (of units)
    систе́мы едини́ц СГС — CGS [centimetre-gram(me)-second ] systems (of units)
    систе́ма едини́ц, техни́ческая — engineer's system of units
    же́зловая систе́ма ж.-д. — staff system
    систе́ма жизнеобеспе́чения косм. — life-support (and survival) system
    систе́ма жизнеобеспе́чения, автоно́мная — back-pack life-support system
    систе́ма зажига́ния — ignition system
    систе́ма зажига́ния, полупроводнико́вая — transistor(ized) ignition system
    систе́ма зажига́ния, электро́нная — electronic ignition system
    систе́ма заземле́ния — earth [ground] network
    замедля́ющая систе́ма — ( в электровакуумных устройствах СВЧ) slow-wave structure; ( волноводная) slow-wave guide; ( коаксиальная) wave delay line
    замедля́ющая, встре́чно-стержнева́я систе́ма — interdigital [interdigitated] slow-wave structure
    замедля́ющая, гребе́нчатая систе́ма — vane-line slow-wave structure, finned slow-wave guide
    замедля́ющая, спира́льная систе́ма — helical slow-wave structure
    за́мкнутая систе́ма — closed system
    систе́ма за́писи вчт. — writing system
    запомина́ющая систе́ма вчт. — storage system
    систе́ма затопле́ния мор. — flood(ing) system
    систе́ма захо́да на поса́дку по кома́ндам с земли́ ав. — ground-controlled-approach [GCA] system
    зачи́стная систе́ма ( танкера) — stripping system
    систе́ма зерка́л Фабри́—Перо́ — Fabry-Perot [FP] mirror system
    зерка́льно-ли́нзовая систе́ма ( в микроскопе) — catadioptric system
    систе́ма золоудале́ния — ash-handling system
    систе́ма зо́льников кож. — lime yard, lime round
    изоли́рованная систе́ма — isolated system
    систе́ма индивидуа́льного вы́зова свз. — paging system
    инерциа́льная систе́ма — inertial system
    информацио́нная систе́ма — information system
    информацио́нно-поиско́вая систе́ма — information retrieval system
    исхо́дная систе́ма — prototype [original] system
    канализацио́нная систе́ма — sewer(age) system
    канализацио́нная, общесплавна́я систе́ма — combined sewer(age) system
    канализацио́нная, разде́льная систе́ма — separate sewer(age) system
    систе́ма коди́рования — coding system
    колеба́тельная систе́ма — (преим. механическая) vibratory [vibrating] system; ( немеханическая) oscillatory [resonant] system
    колеба́тельная, многорезона́торная систе́ма ( магнетрона) — multiple-cavity resonator
    колориметри́ческая трёхцве́тная систе́ма — three-colour photometric system
    систе́ма кома́нд ЭВМ — instruction set of a computer, computer instruction set
    систе́ма координа́т — coordinate system
    свя́зывать систе́му координа́т с … — tie in a coordinate system with …, tie coordinate system to …
    систе́ма координа́т, инерциа́льная — inertial frame
    систе́ма координа́т, лаборато́рная — laboratory coordinate system, laboratory frame of reference
    систе́ма координа́т, ле́вая — left-handed coordinate system
    систе́ма координа́т, ме́стная — local (coordinate) system
    систе́ма координа́т, поко́ящаяся — rest (coordinate) system
    систе́ма координа́т, пото́чная аргд. — (relative) wind coordinate system
    систе́ма координа́т, пра́вая — right-handed coordinate system
    систе́ма координа́т, свя́занная с дви́жущимся те́лом — body axes (coordinate) system
    систе́ма координа́т, свя́занная с Землё́й — fixed-in-the-earth (coordinate) system
    систе́ма корре́кции гироско́па — gyro monitor, (long-term) reference
    систе́ма корре́кции гироско́па, магни́тная — magnetic gyro monitor, magnetic reference
    систе́ма корре́кции гироско́па, ма́ятниковая — gravity gyro monitor, gravity reference
    систе́ма криволине́йных координа́т — curvilinear coordinate system
    курсова́я систе́ма ав. — directional heading [waiting] system
    ли́тниковая систе́ма — gating [pouring gate] system
    магни́тная систе́ма — magnetic system
    систе́ма ма́ссового обслу́живания — queueing [waiting] system
    систе́ма ма́ссового обслу́живания, сме́шанная — combined loss-delay queueing [waiting] system
    систе́ма ма́ссового обслу́живания с ожида́нием — delay queueing [waiting] system
    систе́ма ма́ссового обслу́живания с отка́зами — congestion queueing [waiting] system
    систе́ма ма́ссового обслу́живания с поте́рями — loss-type queueing [waiting] system
    мени́сковая систе́ма — meniscus [Maksutov] system
    систе́ма мер, метри́ческая — metric system
    систе́ма мер, типогра́фская — point system
    механи́ческая систе́ма — mechanical system
    механи́ческая, несвобо́дная систе́ма — constrained material system
    систе́ма мно́гих тел — many-body system
    многокана́льная систе́ма свз. — multichannel system
    многокомпоне́нтная систе́ма — multicomponent system
    многоме́рная систе́ма — multivariable system
    модели́руемая систе́ма — prototype system
    мо́дульная систе́ма — modular system
    мультипле́ксная систе́ма — multiplex system
    систе́ма набо́ра ( корпуса судна) — framing system
    систе́ма набо́ра, кле́тчатая — cellular framing system
    систе́ма набо́ра, попере́чная — transverse framing system
    систе́ма набо́ра, продо́льная — longitudinal framing system
    систе́ма набо́ра, сме́шанная — mixed framing system
    систе́ма навига́ции — navigation system
    систе́ма навига́ции, автоно́мная — self-contained navigation system
    систе́ма навига́ции, гиперболи́ческая — hyperbolic navigation system
    систе́ма навига́ции, дальноме́рная — rho-rho [ - ] navigation system
    систе́ма навига́ции, дальноме́рно-угломе́рная — rho-theta [ - ] navigation system
    систе́ма навига́ции, кругова́я — rho-rho [ - ] navigation system
    систе́ма навига́ции, ра́зностно-дальноме́рная [РДНС] — hyperbolic navigation system
    систе́ма навига́ции, угломе́рная — theta-theta [ - ] navigation system
    систе́ма на стру́йных элеме́нтах, логи́ческая — fluid logic system
    систе́ма нумера́ции тлф. — numbering scheme
    систе́ма обду́ва стё́кол авто, автмт. — demister
    систе́ма обнаруже́ния оши́бок ( в передаче данных) свз. — error detection system
    систе́ма обогре́ва стё́кол авто, ав. — defroster
    систе́ма обозначе́ний — notation, symbolism
    систе́ма обозначе́ний Междунаро́дного нау́чного радиообъедине́ния — URSI symbol system
    систе́ма обозначе́ния про́бы, кара́тная — carat test sign system
    систе́ма обозначе́ния про́бы, метри́ческая — metric test sign system
    обора́чивающая систе́ма опт. — erecting [inversion (optical)] system
    обора́чивающая, при́зменная систе́ма опт. — prism-erecting (optical) system
    систе́ма обрабо́тки да́нных — data processing [dp] system
    систе́ма обрабо́тки да́нных в реа́льном масшта́бе вре́мени — real time data processing system
    систе́ма обрабо́тки да́нных, операти́вная — on-line data processing system
    систе́ма обрабо́тки отхо́дов — waste treatment system
    систе́ма объё́много пожаротуше́ния мор. — fire-smothering system
    одноотка́зная систе́ма — fall-safe system
    опти́ческая систе́ма — optical system, optical train
    опти́ческая, зерка́льно-ли́нзовая систе́ма — catadioptric system
    систе́ма ориента́ции ав. — attitude control system
    ороси́тельная систе́ма — irrigation system, irrigation project
    систе́ма ороше́ния мор. — sprinkling system
    систе́ма освеще́ния — lighting (system)
    осуши́тельная систе́ма мор. — drain(age) system
    систе́ма отбо́ра во́здуха от компре́ссора — compressor air-bleed system
    систе́ма отве́рстия ( в допусках и посадках) — the basic hole system
    отклоня́ющая систе́ма ( в ЭЛТ) — deflecting system, deflection yoke
    отклоня́ющая, ка́дровая систе́ма — vertical (deflection) yoke
    отклоня́ющая, магни́тная систе́ма — magnetic (deflection) yoke
    отклоня́ющая, стро́чная систе́ма — horizontal [line] (deflection) yoke
    систе́ма относи́тельных едини́ц — per-unit system
    отопи́тельная систе́ма — heating system
    отопи́тельная систе́ма с разво́дкой све́рху — down-feed heating system
    отопи́тельная систе́ма с разво́дкой сни́зу — up-feed heating system
    систе́ма отсчё́та — frame of reference, (reference) frame, reference system
    систе́ма отсчё́та, инерциа́льная — inertial frame of reference
    систе́ма охлажде́ния — cooling system
    систе́ма охлажде́ния, возду́шная — air-cooling system
    систе́ма охлажде́ния, жи́дкостная — liquid-cooling system
    систе́ма охлажде́ния, испари́тельная — evaporative cooling system
    систе́ма охлажде́ния, каска́дная — cascade refrigeration system
    систе́ма охлажде́ния непосре́дственным испаре́нием холоди́льного аге́нта — direct expansion system
    систе́ма охлажде́ния, пане́льная — panel cooling system
    систе́ма охлажде́ния, рассо́льная, двухтемперату́рная — dual-temperature brine refrigeration system
    систе́ма охлажде́ния, рассо́льная, закры́тая — closed brine cooling system
    систе́ма охлажде́ния, рассо́льная, с испаре́нием — brine spray cooling system
    систе́ма охлажде́ния с теплозащи́тной руба́шкой — jacketed cooling system
    систе́ма очи́стки воды́ — water purification system
    систе́ма па́мяти — memory [storage] system
    систе́ма парашю́та, подвесна́я — parachute harness
    систе́ма переда́чи да́нных — data transmission system
    систе́ма переда́чи да́нных с обра́тной свя́зью — information feedback data transmission system
    систе́ма переда́чи да́нных с коммута́цией сообще́ний и промежу́точным хране́нием — store-and-forward data network
    систе́ма переда́чи да́нных с реша́ющей обра́тной свя́зью — decision feedback data transmission system
    систе́ма переда́чи и́мпульсов набо́ра, шле́йфная тлф. — loop dialling system
    систе́ма переда́чи на одно́й боково́й полосе́ и пода́вленной несу́щей — single-sideband suppressed-carrier [SSB-SC] system
    систе́ма переда́чи на одно́й боково́й полосе́ с осла́бленной несу́щей — single-sideband reduced carrier [SSB-RC] system
    систе́ма пита́ния двс. — fuel system
    систе́ма пита́ния котла́ — boiler-feed piping system
    систе́ма питьево́й воды́ мор. — drinking-water [portable-water] system
    систе́ма пода́чи то́плива, вытесни́тельная — pressure feeding system
    систе́ма пода́чи то́плива самотё́ком — gravity feeding system
    систе́ма пода́чи то́плива, турбонасо́сная — turbopump feeding system
    подви́жная систе́ма ( измерительного прибора) — moving element (movement не рекомендован соответствующими стандартами)
    систе́ма пожа́рной сигнализа́ции — fire-alarm system
    систе́ма пожаротуше́нения — fire-extinguishing system
    систе́ма поса́дки — landing system
    систе́ма поса́дки по прибо́рам — instrument landing system (сокращение ILS относится к международной системе, советская система обозначается СП — instrument landing system)
    систе́ма проду́вки авто — scavenging system
    противообледени́тельная систе́ма ав. — ( для предотвращения образования льда) anti-icing [ice protection] system; ( для удаления образовавшегося льда) de-icing system
    противопожа́рная систе́ма — fire-extinguishing system
    противото́чная систе́ма — counter-current flow system
    систе́ма прямо́го перено́са ( электроннооптического преобразователя) — proximity focused system
    прямото́чная систе́ма — direct-flow system
    систе́ма прямоуго́льных координа́т — Cartesian [rectangular] coordinate system
    систе́ма, рабо́тающая в и́стинном масшта́бе вре́мени — real-time system
    радиолокацио́нная, втори́чная систе́ма УВД — ( для работы внутри СССР) SSR system; ( отвечающая нормам ИКАО) ICAO SSR system
    радиолокацио́нная систе́ма с электро́нным скани́рованием — electronic scanning radar system, ESRS
    радиомая́чная систе́ма — radio range
    радиомая́чная, многокана́льная систе́ма — multitrack radio range
    систе́ма радионавига́ции — radio-navigation system (см. тж. система навигации)
    развё́ртывающая систе́ма тлв. — scanning system
    систе́ма разрабо́тки — mining system, method of mining
    распредели́тельная систе́ма — distribution system
    регенерати́вная систе́ма тепл. — feed heating system
    резерви́рованная систе́ма — redundant system
    систе́ма ремне́й, подвесна́я ( респиратора) — harness
    систе́ма ру́бок лес. — cutting system
    самонастра́ивающаяся систе́ма — self-adjusting system
    самообуча́ющаяся систе́ма киб. — learning system
    самоорганизу́ющаяся систе́ма — self-organizing system
    самоприспоса́бливающаяся систе́ма киб. — adaptive system
    самоуравнове́шивающаяся систе́ма — self-balancing system
    самоусоверше́нствующаяся систе́ма — evolutionary system
    санита́рная систе́ма мор. — sanitary system
    систе́ма свя́зи — communication system
    сопряга́ть систе́му свя́зи, напр. с ЭВМ — interface a communication network with, e. g., a computer
    уплотня́ть систе́му свя́зи телегра́фными кана́лами — multiplex telegraph channels on a communication link
    систе́ма свя́зи, асинхро́нная — asyncronous communication system
    систе́ма свя́зи, двои́чная — binary communication system
    систе́ма свя́зи, многокана́льная — multi-channel communication system
    систе́ма свя́зи на метео́рных вспы́шках — meteor burst [meteor-scatter] communication system
    систе́ма свя́зи, разветвлё́нная — deployed communication system
    систе́ма свя́зи с испо́льзованием да́льнего тропосфе́рного рассе́яния — troposcatter communication system
    систе́ма свя́зи с испо́льзованием ионосфе́рного рассе́яния — ionoscatter communication system
    систе́ма свя́зи с переспро́сом — ARQ communication system
    систе́ма свя́зи, уплотнё́нная — multiplex communication system
    систе́ма свя́зи, уплотнё́нная, с временны́м разделе́нием сигна́лов — time division multiplex [TDM] communication system
    систе́ма свя́зи, уплотнё́нная, с разделе́нием по ко́дам — code-division multiplex(ing) communication system
    систе́ма свя́зи, уплотнё́нная, с часто́тным разделе́нием сигна́лов — frequency division multiplex [FDM] communication system
    сельси́нная систе́ма — synchro system
    сельси́нная систе́ма в индика́торном режи́ме — synchro-repeater [direct-transmission synchro] system
    сельси́нная систе́ма в трансформа́торном режи́ме — synchro-detector [control-transformer synchro] system
    сельси́нная, двухотсчё́тная систе́ма — two-speed [coarse-fine] synchro system
    сельси́нная, дифференциа́льная систе́ма — differential synchro system
    сельси́нная, одноотсчё́тная систе́ма — singlespeed synchro system
    систе́ма сил — force system
    систе́ма синхрониза́ции — timing [synchronizing] mechanism
    синхро́нная систе́ма — synchronous system
    следя́щая систе́ма — servo (system)
    следя́щая, позицио́нная систе́ма — positional servo (system)
    следя́щая систе́ма с не́сколькими входны́ми возде́йствиями — multi-input servo (system)
    следя́щая систе́ма с предваре́нием — predictor servo (system)
    систе́ма слеже́ния — tracking system
    систе́ма слеже́ния по да́льности — range tracking system
    систе́ма слеже́ния по ско́рости измене́ния да́льности — range rate tracking system
    систе́ма сма́зки — lubrication (system)
    систе́ма сма́зки, принуди́тельная — force(-feed) lubrication (system)
    систе́ма сма́зки, разбры́згивающая — splash lubrication (system)
    сма́зочная систе́ма — lubrication (system)
    систе́ма с мно́гими переме́нными — multivariable system
    систе́ма сниже́ния шу́ма — noise reduction system
    систе́ма с обра́тной свя́зью — feedback system
    Со́лнечная систе́ма — solar system
    систе́ма сопровожде́ния — tracking system
    систе́ма со свобо́дными пове́рхностями — unbounded system
    систе́ма с пара́метрами, изменя́ющимися во вре́мени — time variable [time-variant] system
    систе́ма с постоя́нным резерви́рованием — parallel-redundant system
    систе́ма с разделе́нием вре́мени — time-sharing system
    систе́ма с распределё́нными пара́метрами — distributed parameter system
    систе́ма с самоизменя́ющейся структу́рой — self-structuring system
    систе́ма с сосредото́ченными пара́метрами — lumped-parameter [lumped-constant] system
    стати́ческая систе́ма — киб. constant-error system; ( в следящих системах) type O servo system
    систе́ма, стати́чески неопредели́мая мех. — statically indeterminate system
    систе́ма, стати́чески определи́мая мех. — statically determinate system
    систе́ма стира́ния ( записи) — erasing system
    стохасти́ческая систе́ма — stochastic system
    сто́чная систе́ма мор. — deck drain system
    судова́я систе́ма — ship system
    систе́ма с фикси́рованными грани́цами — bounded system
    систе́ма счисле́ния — number(ing) system, notation
    систе́ма счисле́ния, восьмери́чная — octal number system, octonary notation
    систе́ма счисле́ния, двенадцатери́чная — duodecimal number system, duodecimal notation
    систе́ма счисле́ния, двои́чная — binary system, binary notation
    систе́ма счисле́ния, двои́чно-десяти́чная — binary-coded decimal system, binary-coded decimal [BCD] notation
    систе́ма счисле́ния, девятери́чная — nine number system
    систе́ма счисле́ния, десяти́чная — decimal number system, decimal notation
    систе́ма счисле́ния, непозицио́нная — non-positional notation
    систе́ма счисле́ния, позицио́нная — positional number notation
    систе́ма счисле́ния пути́, возду́шно-до́плеровская навиг. — airborne Doppler navigator
    систе́ма счисле́ния, трои́чная — ternary number system, ternary notation
    систе́ма счисле́ния, шестнадцатери́чная — hexadecimal number system, hexadecimal notation
    телевизио́нная светокла́панная систе́ма — light-modulator [light-modulating] television system
    телегра́фная многокра́тная систе́ма ( с временным распределением) — time-division multiplex (transmission), time division telegraph system
    телеметри́ческая систе́ма — telemetering system
    телеметри́ческая, промы́шленная систе́ма — industrial telemetering system
    телеметри́ческая, то́ковая систе́ма — current-type telemeter
    телеметри́ческая, часто́тная систе́ма — frequency-type telemeter
    телефо́нная, автомати́ческая систе́ма — dial telephone system
    телефо́нная систе́ма с ручны́м обслу́живанием — manual-switchboard telephone system
    термодинами́ческая систе́ма — thermodynamic system
    техни́ческая систе́ма (в отличие от естественных, математических и т. п.) — engineering system
    систе́ма тона́льного телеграфи́рования — voice-frequency multichannel system
    то́пливная систе́ма — fuel system
    то́пливная систе́ма с пода́чей само́тёком — gravity fuel system
    тормозна́я систе́ма ( автомобиля) — brake system
    трёхкомпоне́нтная систе́ма — ternary [three-component] system
    трёхпроводна́я систе́ма эл. — three-wire system
    трёхфа́зная систе́ма эл. — three-phase system
    трёхфа́зная систе́ма с глухозаземлё́нной нейтра́лью эл. — solidly-earthed-neutral three-phase system
    трёхфа́зная, симметри́чная систе́ма эл. — symmetrical three-phase system
    трёхфа́зная систе́ма с незаземлё́нной нейтра́лью эл. — isolated-neutral three-phase system
    трю́мная систе́ма мор. — bilge system
    систе́ма тяг — linkage
    тя́го-дутьева́я систе́ма — draught system
    систе́ма УВД — air traffic control [ATC] system
    систе́ма управле́ния — control system
    систе́ма управле́ния, автомати́ческая — automatic control system
    систе́ма управле́ния без па́мяти — combinational (control) system
    систе́ма управле́ния возду́шным движе́нием — air traffic control [ATC] system
    систе́ма управле́ния произво́дством [предприя́тием], автоматизи́рованная [АСУП] — management information system, MIS
    систе́ма управле́ния с вычисли́тельной маши́ной — computer control system
    систе́ма управле́ния с па́мятью — sequential (control) system
    систе́ма управле́ния с предсказа́нием — predictor control system
    систе́ма управле́ния технологи́ческим проце́ссом, автоматизи́рованная [АСУТП] — (automatic) process control system
    систе́ма управле́ния, цифрова́я — digital control system
    управля́емая систе́ма ( объект управления) — controlled system, controlled plant
    управля́ющая систе́ма ( часть системы управления) — controlling (sub-)system
    упру́гая систе́ма ( гравиметра) — elastic system
    систе́ма уравне́ний — set [system] of equations, set of simultaneous equations
    систе́ма уравне́ния объё́ма ( ядерного реактора) — pressurizing system
    уравнове́шенная систе́ма — balanced system
    усто́йчивая систе́ма — stable system
    фа́новая систе́ма мор. — flushing [sewage-disposal] system
    систе́ма физи́ческих величи́н — system of physical quantities
    хи́мико-технологи́ческая систе́ма — chemical engineering system
    хими́ческая систе́ма — chemical system
    систе́ма ЦБ-АТС тлф. — dial system
    систе́ма цветно́го телеви́дения, совмести́мая — compatible colour-television system
    систе́ма це́нтра масс — centre-of-mass [centre-of-gravity, centre-of-momentum] system
    систе́ма цифрово́го управле́ния ( не путать с числовы́м управле́нием) — digital control system (not to be confused with numeric control system)
    систе́ма «челове́к — маши́на» — man-machine system
    шарни́рная систе́ма — hinged system
    шарни́рно-стержнева́я систе́ма — hinged-rod system
    шпре́нгельная систе́ма — strutted [truss] system
    систе́ма эксплуата́ции телефо́нной свя́зи, заказна́я — delay operation
    систе́ма эксплуата́ции телефо́нной свя́зи, ско́рая — demand working, telephone traffic on the demand basis
    экстрема́льная систе́ма — extremal system
    систе́ма электро́дов ЭЛТ — CRT electrode structure
    электроже́зловая систе́ма ж.-д. — (electric) token system
    электрохими́ческая систе́ма — electrochemical system
    электрохими́ческая, необрати́мая систе́ма — irreversible electrochemical system
    электрохими́ческая, обрати́мая систе́ма — reversible electrochemical system
    электроэнергети́ческая систе́ма — electric power system
    систе́ма элеме́нтов Менделе́ева, периоди́ческая — Mendeleeff's [Mendeleev's, periodic] law, periodic system, periodic table
    систе́ма элеме́нтов ЦВМ — computer building-block range
    энергети́ческая систе́ма — power system
    энергети́ческая, еди́ная систе́ма — power grid
    энергети́ческая, объединё́нная систе́ма — interconnected power system

    Русско-английский политехнический словарь > система

  • 12 Forrester, Jay Wright

    [br]
    b. 14 July 1918 Anselmo, Nebraska, USA
    [br]
    American electrical engineer and management expert who invented the magnetic-core random access memory used in most early digital computers.
    [br]
    Born on a cattle ranch, Forrester obtained a BSc in electrical engineering at the University of Nebraska in 1939 and his MSc at the Massachusetts Institute of Technology (MIT) in Cambridge, Massachusetts, where he remained to teach and carry out research. Becoming interested in computing, he established the Digital Computer Laboratory at MIT in 1945 and became involved in the construction of Whirlwind I, an early general-purpose computer completed in March 1951 and used for flight-simulation by the US Army Air Force. Finding the linear memories then available for storing data a major limiting factor in the speed at which computers were able to operate, he developed a three-dimensional store based on the binary switching of the state of small magnetic cores that could be addressed and switched by a matrix of wires carrying pulses of current. The machine used parallel synchronous fixed-point computing, with fifteen binary digits and a plus sign, i.e. 16 bits in all, and contained 5,000 vacuum tubes, eleven semiconductors and a 2 MHz clock for the arithmetic logic unit. It occupied a two-storey building and consumed 150kW of electricity. From his experience with the development and use of computers, he came to realize their great potential for the simulation and modelling of real situations and hence for the solution of a variety of management problems, using data communications and the technique now known as interactive graphics. His later career was therefore in this field, first at the MIT Lincoln Laboratory in Lexington, Massachusetts (1951) and subsequently (from 1956) as Professor at the Sloan School of Management at the Massachusetts Institute of Technology.
    [br]
    Principal Honours and Distinctions
    National Academy of Engineering 1967. George Washington University Inventor of the Year 1968. Danish Academy of Science Valdemar Poulsen Gold Medal 1969. Systems, Man and Cybernetics Society Award for Outstanding Accomplishments 1972. Computer Society Pioneer Award 1972. Institution of Electrical Engineers Medal of Honour 1972. National Inventors Hall of Fame 1979. Magnetics Society Information Storage Award 1988. Honorary DEng Nebraska 1954, Newark College of Engineering 1971, Notre Dame University 1974. Honorary DSc Boston 1969, Union College 1973. Honorary DPolSci Mannheim University, Germany. Honorary DHumLett, State University of New York 1988.
    Bibliography
    1951, "Data storage in three dimensions using magnetic cores", Journal of Applied Physics 20: 44 (his first description of the core store).
    Publications on management include: 1961, Industrial Dynamics, Cambridge, Mass.: MIT Press; 1968, Principles of Systems, 1971, Urban Dynamics, 1980, with A.A.Legasto \& J.M.Lyneis, System Dynamics, North Holland. 1975, Collected Papers, Cambridge, Mass.: MIT.
    Further Reading
    K.C.Redmond \& T.M.Smith, Project Whirlwind, the History of a Pioneer Computer (provides details of the Whirlwind computer).
    H.H.Goldstine, 1993, The Computer from Pascal to von Neumann, Princeton University Press (for more general background to the development of computers).
    Serrell et al., 1962, "Evolution of computing machines", Proceedings of the Institute of
    Radio Engineers 1,047.
    M.R.Williams, 1975, History of Computing Technology, London: Prentice-Hall.
    KF

    Biographical history of technology > Forrester, Jay Wright

  • 13 Information Processing

       The term "information processing" originated in the late fifties in the computer field as a general descriptive term that seemed somewhat less contingent and parochial than "computer science," which also came into use during the same period. Thus, it was the name of choice for two of the encompassing professional organizations formed at the time: the In ternational Federation of Information Processing Societies and the American Federation of Information Processing Societies. Although the transfer of the phrase from activities of computers to parallel activities of human beings undoubtedly occurred independently in a number of heads, the term was originally identified pretty closely with computer simulation of cognitive processes... ; that is, with the kind of effort from which arose the theory in this book. (Newell & Simon, 1972, p. 888)
       It was because the activities of the computer itself seemed in some ways akin to cognitive processes. Computers accept information, manipulate symbols, store items in "memory" and retrieve them again, classify inputs, recognize patterns and so on.... Indeed the assumptions that underlie most contemporary work on information processing are surprisingly like those of nineteenth century introspective psychology, though without introspection itself. (Neisser, 1976, pp. 5, 7)
       The processor was assumed to be rational, and attention was directed to the logical nature of problem solving strategies. The "mature western mind" was presumed to be one that, in abstracting knowledge from the idosyncracies of particular everyday experience, employed Aristotelian laws of logic. When applied to categories, this meant that to know a category was to have an abstracted clear-cut, necessary, and sufficient criteria for category membership. If other thought processes, such as imagery, ostensive definition, reasoning by analogy to particular instances, or the use of metaphors were considered at all, they were usually relegated to lesser beings such as women, children, primitive people, or even to nonhumans. (Rosch & Lloyd, 1978, p. 2)

    Historical dictionary of quotations in cognitive science > Information Processing

  • 14 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 Analyses
       Recent 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

  • 15 команда

    1. ж. вчт. instruction

    задавать команду с помощью … — specify an instruction by …

    холостая команда; фиктивная команда — do-nothing instruction

    код команды; система команд; набор команд — instruction code

    команда-заготовка; скелетная команда — skeleton instruction

    2. ж. вчт. crew, gang, party
    3. command; team

    команда на освобождение; команда прекращения — quit command

    команда-подсказка; подсказанная команда — prompted command

    Синонимический ряд:
    распоряжение (сущ.) веление; повеление; приказ; приказание; распоряжение

    Русско-английский большой базовый словарь > команда

См. также в других словарях:

  • Computer architecture — In computer science and engineering, computer architecture is the practical art of selecting and interconnecting hardware components to create computers that meet functional, performance and cost goals and the formal modelling of those systems.… …   Wikipedia

  • Memory organisation — There are several ways to organise memories with respect to the way they are connected to the cache: one word wide memory organisation wide memory organisation interleaved memory organisation independent memory organisation Contents 1 One Word… …   Wikipedia

  • computer science — computer scientist. the science that deals with the theory and methods of processing information in digital computers, the design of computer hardware and software, and the applications of computers. [1970 75] * * * Study of computers, their… …   Universalium

  • Computer science — or computing science (abbreviated CS) is the study of the theoretical foundations of information and computation and of practical techniques for their implementation and application in computer systems. Computer scientists invent algorithmic… …   Wikipedia

  • Memory tester — Memory testers are specialized test equipment used to test and verify memory modules typically in SIMM or DIMM configurations. It detects functional failures of memory modules. Contents 1 Types 1.1 Hardware testers 1.2 Software testers …   Wikipedia

  • Logic Pro — Logic 8 Developer(s) Apple Inc. Stable release 9.1.5 / 2011 08 08 Operating system …   Wikipedia

  • Memory disambiguation — is a set of techniques employed by high performance out of order execution microprocessors that execute memory access instructions (loads and stores) out of program order. The mechanisms for performing memory disambiguation, implemented using… …   Wikipedia

  • Computer Technology Limited — or CTL, was a British computer company google founded slightly later than Digital Equipment Corporation (DEC) in the United States. Founder Iann Barron had worked for Elliot Computing but left to form CTL when he couldn t persuade Elliot to… …   Wikipedia

  • Logic programming — is, in its broadest sense, the use of mathematical logic for computer programming. In this view of logic programming, which can be traced at least as far back as John McCarthy s [1958] advice taker proposal, logic is used as a purely declarative… …   Wikipedia

  • computer — computerlike, adj. /keuhm pyooh teuhr/, n. 1. Also called processor. an electronic device designed to accept data, perform prescribed mathematical and logical operations at high speed, and display the results of these operations. Cf. analog… …   Universalium

  • Computer — For other uses, see Computer (disambiguation). Computer technology redirects here. For the company, see Computer Technology Limited. Computer …   Wikipedia

Поделиться ссылкой на выделенное

Прямая ссылка:
… Нажмите правой клавишей мыши и выберите «Копировать ссылку»