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1 one-solution processing
English-Russian big polytechnic dictionary > one-solution processing
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2 one-solution processing
Полиграфия: однорастворная обработка, однорастворная обработка (напр. фотокопий)Универсальный англо-русский словарь > one-solution processing
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3 one-solution processing
однорастворная обработка (напр. фотокопий)Англо-русский словарь по полиграфии и издательскому делу > one-solution processing
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4 processing
1. обработка2. технологический способ, технология3. воспроизведение фотомеханическим способом4. проявление5. подряд; полиграфические услугиdata processing — обработка информации, обработка данных
dry-to-dry processing — обработка «от сухого к сухому»
monobath processing — однованная обработка; однорастворная обработка
6. обработка данных, поступающих от подключённого к ЭВМ оборудования7. диалоговая обработка8. поточная обработка полуфабриката9. воспроизведение иллюстрационного изображения фотомеханическим способом10. обработка иллюстрационного изображенияrapid-access processing — обработка фотоматериалов способом «рапид-аксесс»
stabilization processing — процесс обработки фотоматериалов, включающий стабилизацию изображения
processing block — блок обработки; операторный блок
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5 processing
1) обработка2) технологический способ, технология3) воспроизведение фотомеханическим способом4) проявление5) подряд; полиграфические услугиАнгло-русский словарь по полиграфии и издательскому делу > processing
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6 Bibliography
■ Aitchison, J. (1987). Noam Chomsky: Consensus and controversy. New York: Falmer Press.■ Anderson, J. R. (1980). Cognitive psychology and its implications. San Francisco: W. H. Freeman.■ Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.■ Anderson, J. R. (1995). Cognitive psychology and its implications (4th ed.). New York: W. H. Freeman.■ Archilochus (1971). In M. L. West (Ed.), Iambi et elegi graeci (Vol. 1). Oxford: Oxford University Press.■ Armstrong, D. M. (1990). The causal theory of the mind. In W. G. Lycan (Ed.), Mind and cognition: A reader (pp. 37-47). Cambridge, MA: Basil Blackwell. (Originally published in 1981 in The nature of mind and other essays, Ithaca, NY: University Press).■ Atkins, P. W. (1992). Creation revisited. Oxford: W. H. Freeman & Company.■ Austin, J. L. (1962). How to do things with words. Cambridge, MA: Harvard University Press.■ Bacon, F. (1878). Of the proficience and advancement of learning divine and human. In The works of Francis Bacon (Vol. 1). Cambridge, MA: Hurd & Houghton.■ Bacon, R. (1928). Opus majus (Vol. 2). R. B. Burke (Trans.). Philadelphia, PA: University of Pennsylvania Press.■ Bar-Hillel, Y. (1960). The present status of automatic translation of languages. In F. L. Alt (Ed.), Advances in computers (Vol. 1). New York: Academic Press.■ Barr, A., & E. A. Feigenbaum (Eds.) (1981). The handbook of artificial intelligence (Vol. 1). Reading, MA: Addison-Wesley.■ Barr, A., & E. A. Feigenbaum (Eds.) (1982). The handbook of artificial intelligence (Vol. 2). Los Altos, CA: William Kaufman.■ Barron, F. X. (1963). The needs for order and for disorder as motives in creative activity. In C. W. Taylor & F. X. Barron (Eds.), Scientific creativity: Its rec ognition and development (pp. 153-160). New York: Wiley.■ Bartlett, F. C. (1932). Remembering: A study in experimental and social psychology. Cambridge: Cambridge University Press.■ Bartley, S. H. (1969). Principles of perception. London: Harper & Row.■ Barzun, J. (1959). The house of intellect. New York: Harper & Row.■ Beach, F. A., D. O. Hebb, C. T. Morgan & H. W. Nissen (Eds.) (1960). The neu ropsychology of Lashley. New York: McGraw-Hill.■ Berkeley, G. (1996). Principles of human knowledge: Three Dialogues. Oxford: Oxford University Press. (Originally published in 1710.)■ Berlin, I. (1953). The hedgehog and the fox: An essay on Tolstoy's view of history. NY: Simon & Schuster.■ Bierwisch, J. (1970). Semantics. In J. Lyons (Ed.), New horizons in linguistics. Baltimore: Penguin Books.■ Black, H. C. (1951). Black's law dictionary. St. Paul, MN: West Publishing.■ Bloom, A. (1981). The linguistic shaping of thought: A study in the impact of language on thinking in China and the West. Hillsdale, NJ: Erlbaum.■ Bobrow, D. G., & D. A. Norman (1975). Some principles of memory schemata. In D. G. Bobrow & A. Collins (Eds.), Representation and understanding: Stud ies in Cognitive Science (pp. 131-149). New York: Academic Press.■ Boden, M. A. (1977). Artificial intelligence and natural man. New York: Basic Books.■ Boden, M. A. (1981). Minds and mechanisms. Ithaca, NY: Cornell University Press.■ Boden, M. A. (1990a). The creative mind: Myths and mechanisms. London: Cardinal.■ Boden, M. A. (1990b). The philosophy of artificial intelligence. Oxford: Oxford University Press.■ Boden, M. A. (1994). Precis of The creative mind: Myths and mechanisms. Behavioral and brain sciences 17, 519-570.■ Boden, M. (1996). Creativity. In M. Boden (Ed.), Artificial Intelligence (2nd ed.). San Diego: Academic Press.■ Bolter, J. D. (1984). Turing's man: Western culture in the computer age. Chapel Hill, NC: University of North Carolina Press.■ Bolton, N. (1972). The psychology of thinking. London: Methuen.■ Bourne, L. E. (1973). Some forms of cognition: A critical analysis of several papers. In R. Solso (Ed.), Contemporary issues in cognitive psychology (pp. 313324). Loyola Symposium on Cognitive Psychology (Chicago 1972). Washington, DC: Winston.■ Bransford, J. D., N. S. McCarrell, J. J. Franks & K. E. Nitsch (1977). Toward unexplaining memory. In R. Shaw & J. D. Bransford (Eds.), Perceiving, acting, and knowing (pp. 431-466). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Breger, L. (1981). Freud's unfinished journey. London: Routledge & Kegan Paul.■ Brehmer, B. (1986). In one word: Not from experience. In H. R. Arkes & K. Hammond (Eds.), Judgment and decision making: An interdisciplinary reader (pp. 705-719). Cambridge: Cambridge University Press.■ Bresnan, J. (1978). A realistic transformational grammar. In M. Halle, J. Bresnan & G. A. Miller (Eds.), Linguistic theory and psychological reality (pp. 1-59). Cambridge, MA: MIT Press.■ Brislin, R. W., W. J. Lonner & R. M. Thorndike (Eds.) (1973). Cross- cultural research methods. New York: Wiley.■ Bronowski, J. (1977). A sense of the future: Essays in natural philosophy. P. E. Ariotti with R. Bronowski (Eds.). Cambridge, MA: MIT Press.■ Bronowski, J. (1978). The origins of knowledge and imagination. New Haven, CT: Yale University Press.■ Brown, R. O. (1973). A first language: The early stages. Cambridge, MA: Harvard University Press.■ Brown, T. (1970). Lectures on the philosophy of the human mind. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 330-387). New York: Random House/Modern Library.■ Bruner, J. S., J. Goodnow & G. Austin (1956). A study of thinking. New York: Wiley.■ Calvin, W. H. (1990). The cerebral symphony: Seashore reflections on the structure of consciousness. New York: Bantam.■ Campbell, J. (1982). Grammatical man: Information, entropy, language, and life. New York: Simon & Schuster.■ Campbell, J. (1989). The improbable machine. New York: Simon & Schuster.■ Carlyle, T. (1966). On heroes, hero- worship and the heroic in history. Lincoln: University of Nebraska Press. (Originally published in 1841.)■ Carnap, R. (1959). The elimination of metaphysics through logical analysis of language [Ueberwindung der Metaphysik durch logische Analyse der Sprache]. In A. J. Ayer (Ed.), Logical positivism (pp. 60-81) A. Pap (Trans). New York: Free Press. (Originally published in 1932.)■ Cassirer, E. (1946). Language and myth. New York: Harper and Brothers. Reprinted. New York: Dover Publications, 1953.■ Cattell, R. B., & H. J. Butcher (1970). Creativity and personality. In P. E. Vernon (Ed.), Creativity. Harmondsworth, England: Penguin Books.■ Caudill, M., & C. Butler (1990). Naturally intelligent systems. Cambridge, MA: MIT Press/Bradford Books.■ Chandrasekaran, B. (1990). What kind of information processing is intelligence? A perspective on AI paradigms and a proposal. In D. Partridge & R. Wilks (Eds.), The foundations of artificial intelligence: A sourcebook (pp. 14-46). Cambridge: Cambridge University Press.■ Charniak, E., & McDermott, D. (1985). Introduction to artificial intelligence. Reading, MA: Addison-Wesley.■ Chase, W. G., & H. A. Simon (1988). The mind's eye in chess. In A. Collins & E. E. Smith (Eds.), Readings in cognitive science: A perspective from psychology and artificial intelligence (pp. 461-493). San Mateo, CA: Kaufmann.■ Cheney, D. L., & R. M. Seyfarth (1990). How monkeys see the world: Inside the mind of another species. Chicago: University of Chicago Press.■ Chi, M.T.H., R. Glaser & E. Rees (1982). Expertise in problem solving. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (pp. 7-73). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Chomsky, N. (1957). Syntactic structures. The Hague: Mouton. Janua Linguarum.■ Chomsky, N. (1964). A transformational approach to syntax. In J. A. Fodor & J. J. Katz (Eds.), The structure of language: Readings in the philosophy of lan guage (pp. 211-245). Englewood Cliffs, NJ: Prentice-Hall.■ Chomsky, N. (1965). Aspects of the theory of syntax. Cambridge, MA: MIT Press.■ Chomsky, N. (1972). Language and mind (enlarged ed.). New York: Harcourt Brace Jovanovich.■ Chomsky, N. (1979). Language and responsibility. New York: Pantheon.■ Chomsky, N. (1986). Knowledge of language: Its nature, origin and use. New York: Praeger Special Studies.■ Churchland, P. (1979). Scientific realism and the plasticity of mind. New York: Cambridge University Press.■ Churchland, P. M. (1989). A neurocomputational perspective: The nature of mind and the structure of science. Cambridge, MA: MIT Press.■ Churchland, P. S. (1986). Neurophilosophy. Cambridge, MA: MIT Press/Bradford Books.■ Clark, A. (1996). Philosophical Foundations. In M. A. Boden (Ed.), Artificial in telligence (2nd ed.). San Diego: Academic Press.■ Clark, H. H., & T. B. Carlson (1981). Context for comprehension. In J. Long & A. Baddeley (Eds.), Attention and performance (Vol. 9, pp. 313-330). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Clarke, A. C. (1984). Profiles of the future: An inquiry into the limits of the possible. New York: Holt, Rinehart & Winston.■ Claxton, G. (1980). Cognitive psychology: A suitable case for what sort of treatment? In G. Claxton (Ed.), Cognitive psychology: New directions (pp. 1-25). London: Routledge & Kegan Paul.■ Code, M. (1985). Order and organism. Albany, NY: State University of New York Press.■ Collingwood, R. G. (1972). The idea of history. New York: Oxford University Press.■ Coopersmith, S. (1967). The antecedents of self- esteem. San Francisco: W. H. Freeman.■ Copland, A. (1952). Music and imagination. London: Oxford University Press.■ Coren, S. (1994). The intelligence of dogs. New York: Bantam Books.■ Cottingham, J. (Ed.) (1996). Western philosophy: An anthology. Oxford: Blackwell Publishers.■ Cox, C. (1926). The early mental traits of three hundred geniuses. Stanford, CA: Stanford University Press.■ Craik, K.J.W. (1943). The nature of explanation. Cambridge: Cambridge University Press.■ Cronbach, L. J. (1990). Essentials of psychological testing (5th ed.). New York: HarperCollins.■ Cronbach, L. J., & R. E. Snow (1977). Aptitudes and instructional methods. New York: Irvington. Paperback edition, 1981.■ Csikszentmihalyi, M. (1993). The evolving self. New York: Harper Perennial.■ Culler, J. (1976). Ferdinand de Saussure. New York: Penguin Books.■ Curtius, E. R. (1973). European literature and the Latin Middle Ages. W. R. Trask (Trans.). Princeton, NJ: Princeton University Press.■ D'Alembert, J.L.R. (1963). Preliminary discourse to the encyclopedia of Diderot. R. N. Schwab (Trans.). Indianapolis: Bobbs-Merrill.■ Dampier, W. C. (1966). A history of modern science. Cambridge: Cambridge University Press.■ Darwin, C. (1911). The life and letters of Charles Darwin (Vol. 1). Francis Darwin (Ed.). New York: Appleton.■ Davidson, D. (1970) Mental events. In L. Foster & J. W. Swanson (Eds.), Experience and theory (pp. 79-101). Amherst: University of Massachussetts Press.■ Davies, P. (1995). About time: Einstein's unfinished revolution. New York: Simon & Schuster/Touchstone.■ Davis, R., & J. J. King (1977). An overview of production systems. In E. Elcock & D. Michie (Eds.), Machine intelligence 8. Chichester, England: Ellis Horwood.■ Davis, R., & D. B. Lenat (1982). Knowledge- based systems in artificial intelligence. New York: McGraw-Hill.■ Dawkins, R. (1982). The extended phenotype: The gene as the unit of selection. Oxford: W. H. Freeman.■ deKleer, J., & J. S. Brown (1983). Assumptions and ambiguities in mechanistic mental models (1983). In D. Gentner & A. L. Stevens (Eds.), Mental modes (pp. 155-190). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Dennett, D. C. (1978a). Brainstorms: Philosophical essays on mind and psychology. Montgomery, VT: Bradford Books.■ Dennett, D. C. (1978b). Toward a cognitive theory of consciousness. In D. C. Dennett, Brainstorms: Philosophical Essays on Mind and Psychology. Montgomery, VT: Bradford Books.■ Dennett, D. C. (1995). Darwin's dangerous idea: Evolution and the meanings of life. New York: Simon & Schuster/Touchstone.■ Descartes, R. (1897-1910). Traite de l'homme. In Oeuvres de Descartes (Vol. 11, pp. 119-215). Paris: Charles Adam & Paul Tannery. (Originally published in 1634.)■ Descartes, R. (1950). Discourse on method. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1637.)■ Descartes, R. (1951). Meditation on first philosophy. L. J. Lafleur (Trans.). New York: Liberal Arts Press. (Originally published in 1641.)■ Descartes, R. (1955). The philosophical works of Descartes. E. S. Haldane and G.R.T. Ross (Trans.). New York: Dover. (Originally published in 1911 by Cambridge University Press.)■ Descartes, R. (1967). Discourse on method (Pt. V). In E. S. Haldane and G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 106-118). Cambridge: Cambridge University Press. (Originally published in 1637.)■ Descartes, R. (1970a). Discourse on method. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 181-200). Cambridge: Cambridge University Press. (Originally published in 1637.)■ Descartes, R. (1970b). Principles of philosophy. In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 1, pp. 178-291). Cambridge: Cambridge University Press. (Originally published in 1644.)■ Descartes, R. (1984). Meditations on first philosophy. In J. Cottingham, R. Stoothoff & D. Murduch (Trans.), The philosophical works of Descartes (Vol. 2). Cambridge: Cambridge University Press. (Originally published in 1641.)■ Descartes, R. (1986). Meditations on first philosophy. J. Cottingham (Trans.). Cambridge: Cambridge University Press. (Originally published in 1641 as Med itationes de prima philosophia.)■ deWulf, M. (1956). An introduction to scholastic philosophy. Mineola, NY: Dover Books.■ Dixon, N. F. (1981). Preconscious processing. London: Wiley.■ Doyle, A. C. (1986). The Boscombe Valley mystery. In Sherlock Holmes: The com plete novels and stories (Vol. 1). New York: Bantam.■ Dreyfus, H., & S. Dreyfus (1986). Mind over machine. New York: Free Press.■ Dreyfus, H. L. (1972). What computers can't do: The limits of artificial intelligence (revised ed.). New York: Harper & Row.■ Dreyfus, H. L., & S. E. Dreyfus (1986). Mind over machine: The power of human intuition and expertise in the era of the computer. New York: Free Press.■ Edelman, G. M. (1992). Bright air, brilliant fire: On the matter of the mind. New York: Basic Books.■ Ehrenzweig, A. (1967). The hidden order of art. London: Weidenfeld & Nicolson.■ Einstein, A., & L. Infeld (1938). The evolution of physics. New York: Simon & Schuster.■ Eisenstein, S. (1947). Film sense. New York: Harcourt, Brace & World.■ Everdell, W. R. (1997). The first moderns. Chicago: University of Chicago Press.■ Eysenck, M. W. (1977). Human memory: Theory, research and individual difference. Oxford: Pergamon.■ Eysenck, M. W. (1982). Attention and arousal: Cognition and performance. Berlin: Springer.■ Eysenck, M. W. (1984). A handbook of cognitive psychology. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Fancher, R. E. (1979). Pioneers of psychology. New York: W. W. Norton.■ Farrell, B. A. (1981). The standing of psychoanalysis. New York: Oxford University Press.■ Feldman, D. H. (1980). Beyond universals in cognitive development. Norwood, NJ: Ablex.■ Fetzer, J. H. (1996). Philosophy and cognitive science (2nd ed.). New York: Paragon House.■ Finke, R. A. (1990). Creative imagery: Discoveries and inventions in visualization. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Flanagan, O. (1991). The science of the mind. Cambridge MA: MIT Press/Bradford Books.■ Fodor, J. (1983). The modularity of mind. Cambridge, MA: MIT Press/Bradford Books.■ Frege, G. (1972). Conceptual notation. T. W. Bynum (Trans.). Oxford: Clarendon Press. (Originally published in 1879.)■ Frege, G. (1979). Logic. In H. Hermes, F. Kambartel & F. Kaulbach (Eds.), Gottlob Frege: Posthumous writings. Chicago: University of Chicago Press. (Originally published in 1879-1891.)■ Freud, S. (1959). Creative writers and day-dreaming. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 9, pp. 143-153). London: Hogarth Press.■ Freud, S. (1966). Project for a scientific psychology. In J. Strachey (Ed.), The stan dard edition of the complete psychological works of Sigmund Freud (Vol. 1, pp. 295-398). London: Hogarth Press. (Originally published in 1950 as Aus den AnfaЁngen der Psychoanalyse, in London by Imago Publishing.)■ Freud, S. (1976). Lecture 18-Fixation to traumas-the unconscious. In J. Strachey (Ed.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 16, p. 285). London: Hogarth Press.■ Galileo, G. (1990). Il saggiatore [The assayer]. In S. Drake (Ed.), Discoveries and opinions of Galileo. New York: Anchor Books. (Originally published in 1623.)■ Gassendi, P. (1970). Letter to Descartes. In "Objections and replies." In E. S. Haldane & G.R.T. Ross (Eds.), The philosophical works of Descartes (Vol. 2, pp. 179-240). Cambridge: Cambridge University Press. (Originally published in 1641.)■ Gazzaniga, M. S. (1988). Mind matters: How mind and brain interact to create our conscious lives. Boston: Houghton Mifflin in association with MIT Press/Bradford Books.■ Genesereth, M. R., & N. J. Nilsson (1987). Logical foundations of artificial intelligence. Palo Alto, CA: Morgan Kaufmann.■ Ghiselin, B. (1952). The creative process. New York: Mentor.■ Ghiselin, B. (1985). The creative process. Berkeley, CA: University of California Press. (Originally published in 1952.)■ Gilhooly, K. J. (1996). Thinking: Directed, undirected and creative (3rd ed.). London: Academic Press.■ Glass, A. L., K. J. Holyoak & J. L. Santa (1979). Cognition. Reading, MA: AddisonWesley.■ Goody, J. (1977). The domestication of the savage mind. Cambridge: Cambridge University Press.■ Gruber, H. E. (1980). Darwin on man: A psychological study of scientific creativity (2nd ed.). Chicago: University of Chicago Press.■ Gruber, H. E., & S. Davis (1988). Inching our way up Mount Olympus: The evolving systems approach to creative thinking. In R. J. Sternberg (Ed.), The nature of creativity: Contemporary psychological perspectives. Cambridge: Cambridge University Press.■ Guthrie, E. R. (1972). The psychology of learning. New York: Harper. (Originally published in 1935.)■ Habermas, J. (1972). Knowledge and human interests. Boston: Beacon Press.■ Hadamard, J. (1945). The psychology of invention in the mathematical field. Princeton, NJ: Princeton University Press.■ Hand, D. J. (1985). Artificial intelligence and psychiatry. Cambridge: Cambridge University Press.■ Harris, M. (1981). The language myth. London: Duckworth.■ Haugeland, J. (Ed.) (1981). Mind design: Philosophy, psychology, artificial intelligence. Cambridge, MA: MIT Press/Bradford Books.■ Haugeland, J. (1981a). The nature and plausibility of cognitivism. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 243-281). Cambridge, MA: MIT Press.■ Haugeland, J. (1981b). Semantic engines: An introduction to mind design. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 1-34). Cambridge, MA: MIT Press/Bradford Books.■ Haugeland, J. (1985). Artificial intelligence: The very idea. Cambridge, MA: MIT Press.■ Hawkes, T. (1977). Structuralism and semiotics. Berkeley: University of California Press.■ Hebb, D. O. (1949). The organisation of behaviour. New York: Wiley.■ Hebb, D. O. (1958). A textbook of psychology. Philadelphia: Saunders.■ Hegel, G.W.F. (1910). The phenomenology of mind. J. B. Baille (Trans.). London: Sonnenschein. (Originally published as Phaenomenologie des Geistes, 1807.)■ Heisenberg, W. (1958). Physics and philosophy. New York: Harper & Row.■ Hempel, C. G. (1966). Philosophy of natural science. Englewood Cliffs, NJ: PrenticeHall.■ Herman, A. (1997). The idea of decline in Western history. New York: Free Press.■ Herrnstein, R. J., & E. G. Boring (Eds.) (1965). A source book in the history of psy chology. Cambridge, MA: Harvard University Press.■ Herzmann, E. (1964). Mozart's creative process. In P. H. Lang (Ed.), The creative world of Mozart (pp. 17-30). London: Oldbourne Press.■ Hilgard, E. R. (1957). Introduction to psychology. London: Methuen.■ Hobbes, T. (1651). Leviathan. London: Crooke.■ Holliday, S. G., & M. J. Chandler (1986). Wisdom: Explorations in adult competence. Basel, Switzerland: Karger.■ Horn, J. L. (1986). In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 3). Hillsdale, NJ: Erlbaum.■ Hull, C. (1943). Principles of behavior. New York: Appleton-Century-Crofts.■ Hume, D. (1955). An inquiry concerning human understanding. New York: Liberal Arts Press. (Originally published in 1748.)■ Hume, D. (1975). An enquiry concerning human understanding. In L. A. SelbyBigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (Spelling and punctuation revised.) (Originally published in 1748.)■ Hume, D. (1978). A treatise of human nature. L. A. Selby-Bigge (Ed.), Hume's enquiries (3rd. ed., revised P. H. Nidditch). Oxford: Clarendon. (With some modifications of spelling and punctuation.) (Originally published in 1690.)■ Hunt, E. (1973). The memory we must have. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language. (pp. 343-371) San Francisco: W. H. Freeman.■ Husserl, E. (1960). Cartesian meditations. The Hague: Martinus Nijhoff.■ Inhelder, B., & J. Piaget (1958). The growth of logical thinking from childhood to adolescence. New York: Basic Books. (Originally published in 1955 as De la logique de l'enfant a` la logique de l'adolescent. [Paris: Presses Universitaire de France])■ James, W. (1890a). The principles of psychology (Vol. 1). New York: Dover Books.■ James, W. (1890b). The principles of psychology. New York: Henry Holt.■ Jevons, W. S. (1900). The principles of science (2nd ed.). London: Macmillan.■ Johnson, G. (1986). Machinery of the mind: Inside the new science of artificial intelli gence. New York: Random House.■ Johnson-Laird, P. N. (1983). Mental models: Toward a cognitive science of language, inference, and consciousness. Cambridge, MA: Harvard University Press.■ Johnson-Laird, P. N. (1988). The computer and the mind: An introduction to cognitive science. Cambridge, MA: Harvard University Press.■ Jones, E. (1961). The life and work of Sigmund Freud. L. Trilling & S. Marcus (Eds.). London: Hogarth.■ Jones, R. V. (1985). Complementarity as a way of life. In A. P. French & P. J. Kennedy (Eds.), Niels Bohr: A centenary volume. Cambridge, MA: Harvard University Press.■ Kant, I. (1933). Critique of Pure Reason (2nd ed.). N. K. Smith (Trans.). London: Macmillan. (Originally published in 1781 as Kritik der reinen Vernunft.)■ Kant, I. (1891). Solution of the general problems of the Prolegomena. In E. Belfort (Trans.), Kant's Prolegomena. London: Bell. (With minor modifications.) (Originally published in 1783.)■ Katona, G. (1940). Organizing and memorizing: Studies in the psychology of learning and teaching. New York: Columbia University Press.■ Kaufman, A. S. (1979). Intelligent testing with the WISC-R. New York: Wiley.■ Koestler, A. (1964). The act of creation. New York: Arkana (Penguin).■ Kohlberg, L. (1971). From is to ought. In T. Mischel (Ed.), Cognitive development and epistemology. (pp. 151-235) New York: Academic Press.■ KoЁhler, W. (1925). The mentality of apes. New York: Liveright.■ KoЁhler, W. (1927). The mentality of apes (2nd ed.). Ella Winter (Trans.). London: Routledge & Kegan Paul.■ KoЁhler, W. (1930). Gestalt psychology. London: G. Bell.■ KoЁhler, W. (1947). Gestalt psychology. New York: Liveright.■ KoЁhler, W. (1969). The task of Gestalt psychology. Princeton, NJ: Princeton University Press.■ Kuhn, T. (1970). The structure of scientific revolutions (2nd ed.). Chicago: University of Chicago Press.■ Langer, E. J. (1989). Mindfulness. Reading, MA: Addison-Wesley.■ Langer, S. (1962). Philosophical sketches. Baltimore: Johns Hopkins University Press.■ Langley, P., H. A. Simon, G. L. Bradshaw & J. M. Zytkow (1987). Scientific dis covery: Computational explorations of the creative process. Cambridge, MA: MIT Press.■ Lashley, K. S. (1951). The problem of serial order in behavior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior, the Hixon Symposium (pp. 112-146) New York: Wiley.■ LeDoux, J. E., & W. Hirst (1986). Mind and brain: Dialogues in cognitive neuroscience. Cambridge: Cambridge University Press.■ Lehnert, W. (1978). The process of question answering. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Leiber, J. (1991). Invitation to cognitive science. Oxford: Blackwell.■ Lenat, D. B., & G. Harris (1978). Designing a rule system that searches for scientific discoveries. In D. A. Waterman & F. Hayes-Roth (Eds.), Pattern directed inference systems (pp. 25-52) New York: Academic Press.■ Levenson, T. (1995). Measure for measure: A musical history of science. New York: Touchstone. (Originally published in 1994.)■ Leґvi-Strauss, C. (1963). Structural anthropology. C. Jacobson & B. Grundfest Schoepf (Trans.). New York: Basic Books. (Originally published in 1958.)■ Levine, M. W., & J. M. Schefner (1981). Fundamentals of sensation and perception. London: Addison-Wesley.■ Lewis, C. I. (1946). An analysis of knowledge and valuation. LaSalle, IL: Open Court.■ Lighthill, J. (1972). A report on artificial intelligence. Unpublished manuscript, Science Research Council.■ Lipman, M., A. M. Sharp & F. S. Oscanyan (1980). Philosophy in the classroom. Philadelphia: Temple University Press.■ Lippmann, W. (1965). Public opinion. New York: Free Press. (Originally published in 1922.)■ Locke, J. (1956). An essay concerning human understanding. Chicago: Henry Regnery Co. (Originally published in 1690.)■ Locke, J. (1975). An essay concerning human understanding. P. H. Nidditch (Ed.). Oxford: Clarendon. (Originally published in 1690.) (With spelling and punctuation modernized and some minor modifications of phrasing.)■ Lopate, P. (1994). The art of the personal essay. New York: Doubleday/Anchor Books.■ Lorimer, F. (1929). The growth of reason. London: Kegan Paul. Machlup, F., & U. Mansfield (Eds.) (1983). The study of information. New York: Wiley.■ Manguel, A. (1996). A history of reading. New York: Viking.■ Markey, J. F. (1928). The symbolic process. London: Kegan Paul.■ Martin, R. M. (1969). On Ziff's "Natural and formal languages." In S. Hook (Ed.), Language and philosophy: A symposium (pp. 249-263). New York: New York University Press.■ Mazlish, B. (1993). The fourth discontinuity: the co- evolution of humans and machines. New Haven, CT: Yale University Press.■ McCarthy, J., & P. J. Hayes (1969). Some philosophical problems from the standpoint of artificial intelligence. In B. Meltzer & D. Michie (Eds.), Machine intelligence 4. Edinburgh: Edinburgh University Press.■ McClelland, J. L., D. E. Rumelhart & G. E. Hinton (1986). The appeal of parallel distributed processing. In D. E. Rumelhart, J. L. McClelland & the PDP Research Group (Eds.), Parallel distributed processing: Explorations in the mi crostructure of cognition (Vol. 1, pp. 3-40). Cambridge, MA: MIT Press/ Bradford Books.■ McCorduck, P. (1979). Machines who think. San Francisco: W. H. Freeman.■ McLaughlin, T. (1970). Music and communication. London: Faber & Faber.■ Mednick, S. A. (1962). The associative basis of the creative process. Psychological Review 69, 431-436.■ Meehl, P. E., & C. J. Golden (1982). Taxometric methods. In Kendall, P. C., & Butcher, J. N. (Eds.), Handbook of research methods in clinical psychology (pp. 127-182). New York: Wiley.■ Mehler, J., E.C.T. Walker & M. Garrett (Eds.) (1982). Perspectives on mental rep resentation: Experimental and theoretical studies of cognitive processes and ca pacities. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Mill, J. S. (1900). A system of logic, ratiocinative and inductive: Being a connected view of the principles of evidence and the methods of scientific investigation. London: Longmans, Green.■ Miller, G. A. (1979, June). A very personal history. Talk to the Cognitive Science Workshop, Cambridge, MA.■ Miller, J. (1983). States of mind. New York: Pantheon Books.■ Minsky, M. (1975). A framework for representing knowledge. In P. H. Winston (Ed.), The psychology of computer vision (pp. 211-277). New York: McGrawHill.■ Minsky, M., & S. Papert (1973). Artificial intelligence. Condon Lectures, Oregon State System of Higher Education, Eugene, Oregon.■ Minsky, M. L. (1986). The society of mind. New York: Simon & Schuster.■ Mischel, T. (1976). Psychological explanations and their vicissitudes. In J. K. Cole & W. J. Arnold (Eds.), Nebraska Symposium on motivation (Vol. 23). Lincoln, NB: University of Nebraska Press.■ Morford, M.P.O., & R. J. Lenardon (1995). Classical mythology (5th ed.). New York: Longman.■ Murdoch, I. (1954). Under the net. New York: Penguin.■ Nagel, E. (1959). Methodological issues in psychoanalytic theory. In S. Hook (Ed.), Psychoanalysis, scientific method, and philosophy: A symposium. New York: New York University Press.■ Nagel, T. (1979). Mortal questions. London: Cambridge University Press.■ Nagel, T. (1986). The view from nowhere. Oxford: Oxford University Press.■ Neisser, U. (1967). Cognitive psychology. New York: Appleton-Century-Crofts.■ Neisser, U. (1972). Changing conceptions of imagery. In P. W. Sheehan (Ed.), The function and nature of imagery (pp. 233-251). London: Academic Press.■ Neisser, U. (1976). Cognition and reality. San Francisco: W. H. Freeman.■ Neisser, U. (1978). Memory: What are the important questions? In M. M. Gruneberg, P. E. Morris & R. N. Sykes (Eds.), Practical aspects of memory (pp. 3-24). London: Academic Press.■ Neisser, U. (1979). The concept of intelligence. In R. J. Sternberg & D. K. Detterman (Eds.), Human intelligence: Perspectives on its theory and measurement (pp. 179-190). Norwood, NJ: Ablex.■ Nersessian, N. (1992). How do scientists think? Capturing the dynamics of conceptual change in science. In R. N. Giere (Ed.), Cognitive models of science (pp. 3-44). Minneapolis: University of Minnesota Press.■ Newell, A. (1973a). Artificial intelligence and the concept of mind. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 1-60). San Francisco: W. H. Freeman.■ Newell, A. (1973b). You can't play 20 questions with nature and win. In W. G. Chase (Ed.), Visual information processing (pp. 283-310). New York: Academic Press.■ Newell, A., & H. A. Simon (1963). GPS: A program that simulates human thought. In E. A. Feigenbaum & J. Feldman (Eds.), Computers and thought (pp. 279-293). New York & McGraw-Hill.■ Newell, A., & H. A. Simon (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.■ Nietzsche, F. (1966). Beyond good and evil. W. Kaufmann (Trans.). New York: Vintage. (Originally published in 1885.)■ Nilsson, N. J. (1971). Problem- solving methods in artificial intelligence. New York: McGraw-Hill.■ Nussbaum, M. C. (1978). Aristotle's Princeton University Press. De Motu Anamalium. Princeton, NJ:■ Oersted, H. C. (1920). Thermo-electricity. In Kirstine Meyer (Ed.), H. C. Oersted, Natuurvidenskabelige Skrifter (Vol. 2). Copenhagen: n.p. (Originally published in 1830 in The Edinburgh encyclopaedia.)■ Ong, W. J. (1982). Orality and literacy: The technologizing of the word. London: Methuen.■ Onians, R. B. (1954). The origins of European thought. Cambridge, MA: Cambridge University Press.■ Osgood, C. E. (1960). Method and theory in experimental psychology. New York: Oxford University Press. (Originally published in 1953.)■ Osgood, C. E. (1966). Language universals and psycholinguistics. In J. H. Greenberg (Ed.), Universals of language (2nd ed., pp. 299-322). Cambridge, MA: MIT Press.■ Palmer, R. E. (1969). Hermeneutics. Evanston, IL: Northwestern University Press.■ Peirce, C. S. (1934). Some consequences of four incapacities-Man, a sign. In C. Hartsborne & P. Weiss (Eds.), Collected papers of Charles Saunders Peirce (Vol. 5, pp. 185-189). Cambridge, MA: Harvard University Press.■ Penfield, W. (1959). In W. Penfield & L. Roberts, Speech and brain mechanisms. Princeton, NJ: Princeton University Press.■ Penrose, R. (1994). Shadows of the mind: A search for the missing science of conscious ness. Oxford: Oxford University Press.■ Perkins, D. N. (1981). The mind's best work. Cambridge, MA: Harvard University Press.■ Peterfreund, E. (1986). The heuristic approach to psychoanalytic therapy. In■ J. Reppen (Ed.), Analysts at work, (pp. 127-144). Hillsdale, NJ: Analytic Press.■ Piaget, J. (1952). The origin of intelligence in children. New York: International Universities Press. (Originally published in 1936.)■ Piaget, J. (1954). Le langage et les opeґrations intellectuelles. Proble` mes de psycho linguistique. Symposium de l'Association de Psychologie Scientifique de Langue Francёaise. Paris: Presses Universitaires de France.■ Piaget, J. (1977). Problems of equilibration. In H. E. Gruber & J. J. Voneche (Eds.), The essential Piaget (pp. 838-841). London: Routlege & Kegan Paul. (Originally published in 1975 as L'eґquilibration des structures cognitives [Paris: Presses Universitaires de France].)■ Piaget, J., & B. Inhelder. (1973). Memory and intelligence. New York: Basic Books.■ Pinker, S. (1994). The language instinct. New York: Morrow.■ Pinker, S. (1996). Facts about human language relevant to its evolution. In J.-P. Changeux & J. Chavaillon (Eds.), Origins of the human brain. A symposium of the Fyssen foundation (pp. 262-283). Oxford: Clarendon Press. Planck, M. (1949). Scientific autobiography and other papers. F. Gaynor (Trans.). New York: Philosophical Library.■ Planck, M. (1990). Wissenschaftliche Selbstbiographie. W. Berg (Ed.). Halle, Germany: Deutsche Akademie der Naturforscher Leopoldina.■ Plato (1892). Meno. In The Dialogues of Plato (B. Jowett, Trans.; Vol. 2). New York: Clarendon. (Originally published circa 380 B.C.)■ Poincareґ, H. (1913). Mathematical creation. In The foundations of science. G. B. Halsted (Trans.). New York: Science Press.■ Poincareґ, H. (1921). The foundations of science: Science and hypothesis, the value of science, science and method. G. B. Halstead (Trans.). New York: Science Press.■ Poincareґ, H. (1929). The foundations of science: Science and hypothesis, the value of science, science and method. New York: Science Press.■ Poincareґ, H. (1952). Science and method. F. Maitland (Trans.) New York: Dover.■ Polya, G. (1945). How to solve it. Princeton, NJ: Princeton University Press.■ Polanyi, M. (1958). Personal knowledge. London: Routledge & Kegan Paul.■ Popper, K. (1968). Conjectures and refutations: The growth of scientific knowledge. New York: Harper & Row/Basic Books.■ Popper, K., & J. Eccles (1977). The self and its brain. New York: Springer-Verlag.■ Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.■ Putnam, H. (1975). Mind, language and reality: Philosophical papers (Vol. 2). Cambridge: Cambridge University Press.■ Putnam, H. (1987). The faces of realism. LaSalle, IL: Open Court.■ Pylyshyn, Z. W. (1981). The imagery debate: Analog media versus tacit knowledge. In N. Block (Ed.), Imagery (pp. 151-206). Cambridge, MA: MIT Press.■ Pylyshyn, Z. W. (1984). Computation and cognition: Towards a foundation for cog nitive science. Cambridge, MA: MIT Press/Bradford Books.■ Quillian, M. R. (1968). Semantic memory. In M. Minsky (Ed.), Semantic information processing (pp. 216-260). Cambridge, MA: MIT Press.■ Quine, W.V.O. (1960). Word and object. Cambridge, MA: Harvard University Press.■ Rabbitt, P.M.A., & S. Dornic (Eds.). Attention and performance (Vol. 5). London: Academic Press.■ Rawlins, G.J.E. (1997). Slaves of the Machine: The quickening of computer technology. Cambridge, MA: MIT Press/Bradford Books.■ Reid, T. (1970). An inquiry into the human mind on the principles of common sense. In R. Brown (Ed.), Between Hume and Mill: An anthology of British philosophy- 1749- 1843 (pp. 151-178). New York: Random House/Modern Library.■ Reitman, W. (1970). What does it take to remember? In D. A. Norman (Ed.), Models of human memory (pp. 470-510). London: Academic Press.■ Ricoeur, P. (1974). Structure and hermeneutics. In D. I. Ihde (Ed.), The conflict of interpretations: Essays in hermeneutics (pp. 27-61). Evanston, IL: Northwestern University Press.■ Robinson, D. N. (1986). An intellectual history of psychology. Madison: University of Wisconsin Press.■ Rorty, R. (1979). Philosophy and the mirror of nature. Princeton, NJ: Princeton University Press.■ Rosch, E. (1977). Human categorization. In N. Warren (Ed.), Studies in cross cultural psychology (Vol. 1, pp. 1-49) London: Academic Press.■ Rosch, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 27-48). Hillsdale, NJ: Lawrence Erlbaum Associates.■ Rosch, E., & B. B. Lloyd (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Rose, S. (1970). The chemistry of life. Baltimore: Penguin Books.■ Rose, S. (1976). The conscious brain (updated ed.). New York: Random House.■ Rose, S. (1993). The making of memory: From molecules to mind. New York: Anchor Books. (Originally published in 1992)■ Roszak, T. (1994). The cult of information: A neo- Luddite treatise on high- tech, artificial intelligence, and the true art of thinking (2nd ed.). Berkeley: University of California Press.■ Royce, J. R., & W. W. Rozeboom (Eds.) (1972). The psychology of knowing. New York: Gordon & Breach.■ Rumelhart, D. E. (1977). Introduction to human information processing. New York: Wiley.■ Rumelhart, D. E. (1980). Schemata: The building blocks of cognition. In R. J. Spiro, B. Bruce & W. F. Brewer (Eds.), Theoretical issues in reading comprehension. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Rumelhart, D. E., & J. L. McClelland (1986). On learning the past tenses of English verbs. In J. L. McClelland & D. E. Rumelhart (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 2). Cambridge, MA: MIT Press.■ Rumelhart, D. E., P. Smolensky, J. L. McClelland & G. E. Hinton (1986). Schemata and sequential thought processes in PDP models. In J. L. McClelland, D. E. Rumelhart & the PDP Research Group (Eds.), Parallel Distributed Processing (Vol. 2, pp. 7-57). Cambridge, MA: MIT Press.■ Russell, B. (1927). An outline of philosophy. London: G. Allen & Unwin.■ Russell, B. (1961). History of Western philosophy. London: George Allen & Unwin.■ Russell, B. (1965). How I write. In Portraits from memory and other essays. London: Allen & Unwin.■ Russell, B. (1992). In N. Griffin (Ed.), The selected letters of Bertrand Russell (Vol. 1), The private years, 1884- 1914. Boston: Houghton Mifflin. Ryecroft, C. (1966). Psychoanalysis observed. London: Constable.■ Sagan, C. (1978). The dragons of Eden: Speculations on the evolution of human intel ligence. New York: Ballantine Books.■ Salthouse, T. A. (1992). Expertise as the circumvention of human processing limitations. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.■ Sanford, A. J. (1987). The mind of man: Models of human understanding. New Haven, CT: Yale University Press.■ Sapir, E. (1921). Language. New York: Harcourt, Brace, and World.■ Sapir, E. (1964). Culture, language, and personality. Berkeley: University of California Press. (Originally published in 1941.)■ Sapir, E. (1985). The status of linguistics as a science. In D. G. Mandelbaum (Ed.), Selected writings of Edward Sapir in language, culture and personality (pp. 160166). Berkeley: University of California Press. (Originally published in 1929).■ Scardmalia, M., & C. Bereiter (1992). Literate expertise. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 172-194). Cambridge: Cambridge University Press.■ Schafer, R. (1954). Psychoanalytic interpretation in Rorschach testing. New York: Grune & Stratten.■ Schank, R. C. (1973). Identification of conceptualizations underlying natural language. In R. C. Schank & K. M. Colby (Eds.), Computer models of thought and language (pp. 187-248). San Francisco: W. H. Freeman.■ Schank, R. C. (1976). The role of memory in language processing. In C. N. Cofer (Ed.), The structure of human memory. (pp. 162-189) San Francisco: W. H. Freeman.■ Schank, R. C. (1986). Explanation patterns: Understanding mechanically and creatively. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Schank, R. C., & R. P. Abelson (1977). Scripts, plans, goals, and understanding. Hillsdale, NJ: Lawrence Erlbaum Associates.■ SchroЁdinger, E. (1951). Science and humanism. Cambridge: Cambridge University Press.■ Searle, J. R. (1981a). Minds, brains, and programs. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 282-306). Cambridge, MA: MIT Press.■ Searle, J. R. (1981b). Minds, brains and programs. In D. Hofstadter & D. Dennett (Eds.), The mind's I (pp. 353-373). New York: Basic Books.■ Searle, J. R. (1983). Intentionality. New York: Cambridge University Press.■ Serres, M. (1982). The origin of language: Biology, information theory, and thermodynamics. M. Anderson (Trans.). In J. V. Harari & D. F. Bell (Eds.), Hermes: Literature, science, philosophy (pp. 71-83). Baltimore: Johns Hopkins University Press.■ Simon, H. A. (1966). Scientific discovery and the psychology of problem solving. In R. G. Colodny (Ed.), Mind and cosmos: Essays in contemporary science and philosophy (pp. 22-40). Pittsburgh: University of Pittsburgh Press.■ Simon, H. A. (1979). Models of thought. New Haven, CT: Yale University Press.■ Simon, H. A. (1989). The scientist as a problem solver. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert Simon. Hillsdale, N.J.: Lawrence Erlbaum Associates.■ Simon, H. A., & C. Kaplan (1989). Foundations of cognitive science. In M. Posner (Ed.), Foundations of cognitive science (pp. 1-47). Cambridge, MA: MIT Press.■ Simonton, D. K. (1988). Creativity, leadership and chance. In R. J. Sternberg (Ed.), The nature of creativity. Cambridge: Cambridge University Press.■ Skinner, B. F. (1974). About behaviorism. New York: Knopf.■ Smith, E. E. (1988). Concepts and thought. In J. Sternberg & E. E. Smith (Eds.), The psychology of human thought (pp. 19-49). Cambridge: Cambridge University Press.■ Smith, E. E. (1990). Thinking: Introduction. In D. N. Osherson & E. E. Smith (Eds.), Thinking. An invitation to cognitive science. (Vol. 3, pp. 1-2). Cambridge, MA: MIT Press.■ Socrates. (1958). Meno. In E. H. Warmington & P. O. Rouse (Eds.), Great dialogues of Plato W.H.D. Rouse (Trans.). New York: New American Library. (Original publication date unknown.)■ Solso, R. L. (1974). Theories of retrieval. In R. L. Solso (Ed.), Theories in cognitive psychology. Potomac, MD: Lawrence Erlbaum Associates.■ Spencer, H. (1896). The principles of psychology. New York: Appleton-CenturyCrofts.■ Steiner, G. (1975). After Babel: Aspects of language and translation. New York: Oxford University Press.■ Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Sternberg, R. J. (1994). Intelligence. In R. J. Sternberg, Thinking and problem solving. San Diego: Academic Press.■ Sternberg, R. J., & J. E. Davidson (1985). Cognitive development in gifted and talented. In F. D. Horowitz & M. O'Brien (Eds.), The gifted and talented (pp. 103-135). Washington, DC: American Psychological Association.■ Storr, A. (1993). The dynamics of creation. New York: Ballantine Books. (Originally published in 1972.)■ Stumpf, S. E. (1994). Philosophy: History and problems (5th ed.). New York: McGraw-Hill.■ Sulloway, F. J. (1996). Born to rebel: Birth order, family dynamics, and creative lives. New York: Random House/Vintage Books.■ Thorndike, E. L. (1906). Principles of teaching. New York: A. G. Seiler.■ Thorndike, E. L. (1970). Animal intelligence: Experimental studies. Darien, CT: Hafner Publishing Co. (Originally published in 1911.)■ Titchener, E. B. (1910). A textbook of psychology. New York: Macmillan.■ Titchener, E. B. (1914). A primer of psychology. New York: Macmillan.■ Toulmin, S. (1957). The philosophy of science. London: Hutchinson.■ Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organisation of memory. London: Academic Press.■ Turing, A. (1946). In B. E. Carpenter & R. W. Doran (Eds.), ACE reports of 1946 and other papers. Cambridge, MA: MIT Press.■ Turkle, S. (1984). Computers and the second self: Computers and the human spirit. New York: Simon & Schuster.■ Tyler, S. A. (1978). The said and the unsaid: Mind, meaning, and culture. New York: Academic Press.■ van Heijenoort (Ed.) (1967). From Frege to Goedel. Cambridge: Harvard University Press.■ Varela, F. J. (1984). The creative circle: Sketches on the natural history of circularity. In P. Watzlawick (Ed.), The invented reality (pp. 309-324). New York: W. W. Norton.■ Voltaire (1961). On the Penseґs of M. Pascal. In Philosophical letters (pp. 119-146). E. Dilworth (Trans.). Indianapolis: Bobbs-Merrill.■ Wagman, M. (1991a). Artificial intelligence and human cognition: A theoretical inter comparison of two realms of intellect. Westport, CT: Praeger.■ Wagman, M. (1991b). Cognitive science and concepts of mind: Toward a general theory of human and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1993). Cognitive psychology and artificial intelligence: Theory and re search in cognitive science. Westport, CT: Praeger.■ Wagman, M. (1995). The sciences of cognition: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1996). Human intellect and cognitive science: Toward a general unified theory of intelligence. Westport, CT: Praeger.■ Wagman, M. (1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.■ Wagman, M. (1998b). Language and thought in humans and computers: Theory and research in psychology, artificial intelligence, and neural science. Westport, CT: Praeger.■ Wagman, M. (1998c). The ultimate objectives of artificial intelligence: Theoretical and research foundations, philosophical and psychological implications. Westport, CT: Praeger.■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.■ Wagman, M. (2000). Scientific discovery processes in humans and computers: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.■ Weisberg, R. W. (1986). Creativity: Genius and other myths. New York: W. H. Freeman.■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifflin.■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.■ Winston, P. H. (Ed.) (1975). The psychology of computer vision. New York: McGrawHill.■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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7 power
1) ((an) ability: A witch has magic power; A cat has the power of seeing in the dark; He no longer has the power to walk.) poder; facultad, capacidad, habilidad2) (strength, force or energy: muscle power; water-power; (also adjective) a power tool (=a tool operated by electricity etc. not by hand).) energía, fuerza3) (authority or control: political groups fighting for power; How much power does the Queen have?; I have him in my power at last) poder4) (a right belonging to eg a person in authority: The police have the power of arrest.) poder; autoridad5) (a person with great authority or influence: He is quite a power in the town.) persona poderosa/influyente, pez gordo6) (a strong and influential country: the Western powers.) potencia7) (the result obtained by multiplying a number by itself a given number of times: 2 × 2 × 2 or 23 is the third power of 2, or 2 to the power of 3.) potencia•- powered- powerful
- powerfully
- powerfulness
- powerless
- powerlessness
- power cut
- failure
- power-driven
- power point
- power station
- be in power
power n1. poder2. energía / potencia / fuerza3. fuerza / electricidadtr['paʊəSMALLr/SMALL]3 (faculty) facultad nombre femenino4 (control, influence, authority) poder nombre masculino; (of country) poderío, poder nombre masculino5 (nation) potencia; (person, group) fuerza8 SMALLMATHEMATICS/SMALL potencia1 propulsar, impulsar\SMALLIDIOMATIC EXPRESSION/SMALLto be in power estar en el poderto come to power llegar al poderto do somebody a power of good hacer a alguien mucho biento have somebody in one's power tener a alguien en su poderto rise to power subir al poderto seize/take power tomar el poder, hacerse con el poderpower base zona de influenciapower drill taladradora mecánicapower failure corte nombre masculino del suministro eléctricopower point enchufe nombre masculino, toma de corrientepower saw sierra mecánica, motosierrapower station central nombre femenino eléctricapower steering dirección nombre femenino asistidapower struggle lucha por el podersolar power energía solarthe powers that be las autoridades nombre femenino pluralpower ['paʊər] vt: impulsar, propulsarpower n1) authority: poder m, autoridad fexecutive powers: poderes ejecutivos2) ability: capacidad f, poder m3) : potencia f (política)foreign powers: potencias extranjeras4) strength: fuerza f5) : potencia f (en física y matemáticas)n.• autoridad s.f.• dominación s.f.• efecto s.m.• eminencia s.f.• empuje s.m.• energía (Electricidad) s.f.• facultad s.m.• fuero s.m.• fuerza s.f.• mando s.m.• poder s.m.• poderío s.m.• potencia (Física) s.f.• potestad s.f.v.• accionar v.• impulsar v.'paʊər, 'paʊə(r)
I
1)a) u (control, influence) poder m; ( of country) poderío m, poder mpower OVER somebody/something — poder sobre alguien/algo
to be in power — estar* en or ocupar el poder
balance of power — equilibrio m de fuerzas
to seize power — tomar el poder, hacerse* con el poder
to come to power — llegar* or subir al poder; (before n)
power sharing — compartimiento m del poder
power struggle — lucha f por el poder
b) u c ( official authority) poder mpower to + INF — poder para + inf
power of veto — derecho m de veto
2) ca) ( nation) potencia fb) (person, group)the powers that be — los que mandan, los que detentan el poder
3) ua) (physical strength, force) fuerza fmore power to your elbow — (colloq) bien hecho!
b) (of engine, loudspeaker, transmitter, telescope) potencia fprocessing power — capacidad f de procesamiento
c) (of tradition, love) poder m, fuerza f; ( of argument) fuerza f, lo poderoso or convincente4)a) u (ability, capacity)I did everything in my power — hice todo lo que estaba en mi(s) mano(s), hice todo lo que me era posible
b) ( specific faculty) (often pl)power(s) of concentration — capacidad f or poder m de concentración
mental powers — inteligencia f, facultades fpl mentales
he was at the height of his power(s) — estaba en su mejor momento or en la plenitud de sus facultades
5) ua) (Eng, Phys) potencia f; ( particular source of energy) energía fsolar power — energía solar; (before n)
power brakes — servofrenos mpl
power steering — dirección f asistida
b) ( electricity) electricidad f; (before n)power cable — cable m de energía eléctrica
power lines — cables mpl de alta tensión
power point — (BrE) toma f de corriente, enchufe m, tomacorriente(s) m (AmS)
power tool — herramienta f eléctrica
6) u ( Math) potencia f10 to the power of 4/of 3 — 10 (elevado) a la cuarta potencia/al cubo
7) ( a lot)to do somebody a power of good — hacerle* a alguien mucho bien
II
1.
steam-powered — a or de vapor
2.
vi ( move rapidly) (colloq) (+ adv compl)[paʊǝ(r)]1. N•
to have power over sb — tener poder sobre algn•
to have sb in one's power — tener a algn en su poder•
to have the power of life and death over sb — tener poder para decidir sobre la vida de algn2) (Pol) poder m, poderío m•
to be in power — estar en el poder•
to come to power — subir al poder•
to fall from power — perder el poder•
power to the people! — ¡el pueblo al poder!3) (Mil) (=capability) potencia f, poderío m•
a nation's air/ sea power — la potencia aérea/naval de un país, el poderío aéreo/naval de un país4) (=authority) poder m, autoridad fshe has the power to act — tiene poder or autoridad para actuar
•
it was seen as an abuse of his power — se percibió como un abuso de poder por su parte•
to exceed one's powers — excederse en el ejercicio de sus atribuciones or facultades•
he has full powers to negotiate a solution — goza de plenos poderes para negociar una solución•
that does not fall within my power(s) — eso no es de mi competencia5) (=ability, capacity)•
it is beyond his power to save her — no está dentro de sus posibilidades salvarla, no puede hacer nada para salvarla•
to be at the height of one's powers — estar en plenitud de facultadespurchasing 2.•
to do all or everything in one's power to help sb — hacer todo lo posible por ayudar a algn6) (=mental faculty) facultad f7) (=nation) potencia f•
the Great Powers — las grandes potencias•
one of the great naval powers — una de las grandes potencias navales•
the leaders of the major world powers — los líderes de las principales potencias mundiales8) (=person in authority)•
the powers that be — las autoridades, los que mandan9) (=forcefulness) [of argument] fuerza fthe power of love/thought — el poder del amor/del intelecto
a painting of great power — un cuadro de gran impacto, un cuadro que causa honda impresión
10) [of engine, machine] potencia f, fuerza f ; [of telescope] aumento m ; (=output) rendimiento m•
microwave on full power for one minute — póngalo con el microondas a plena potencia durante un minuto•
the ship returned to port under her own power — el buque volvió al puerto impulsado por sus propios motores11) (=source of energy) energía f ; (=electric power) electricidad f•
they cut off the power — cortaron la corriente12) (Math) potencia f7 to the power (of) 3 — 7 elevado a la 3 a potencia, 7 elevado al cubo
13) * (=a lot of)the new training methods have done their game a power of good — el nuevo método de entrenamiento ha supuesto una notable mejoría en su juego
2.VTa racing car powered by a 4.2 litre engine — un coche de carreras impulsado por un motor de 4,2 litros
- poweredthe electric lighting is powered by a generator — un generador se encarga de alimentar el alumbrado eléctrico
3.CPDpower base N — base f de poder
power breakfast N — desayuno m de negocios
power broker N — (Pol) poder m en la sombra
power cable N — cable m de energía eléctrica
power cut N — (Brit) corte m de luz or de corriente, apagón m
power dressing N — moda f de ejecutivo
power drill N — taladro m eléctrico, taladradora f eléctrica
power failure N — fallo m del suministro eléctrico
power game N — (esp Pol) juego m del poder
power line N — línea f de conducción eléctrica, cable m de alta tensión
power list N — lista f de las personas más influyentes
power lunch N — comida f de negocios
power outage (US) N — = power cut
power pack N — transformador m
(US) = power stationpower plant N — (=generator) grupo m electrógeno
power play N — (Sport) demostración f de fuerza (en el juego ofensivo); (from temporary suspension) superioridad f (en el ataque); (fig) (=use of power) maniobra f de poder, demostración f de fuerza; (=power struggle) lucha f por el poder
power point N — (Brit) (Elec) enchufe m, toma f de corriente
power politics N — política fsing de fuerza
power saw N — motosierra f, sierra f mecánica
power shovel N — excavadora f
power shower N — ducha f de hidromasaje
power station N — central f eléctrica, usina f eléctrica (S. Cone)
power steering N — (Aut) dirección f asistida
power structure N — estructura f del poder
power struggle N — lucha f por el poder
power supply N — suministro m eléctrico
power surge N — (Elec) subida f de tensión
power tool N — herramienta f eléctrica
power trio N — (Mus) trío m eléctrico
power unit N — grupo m electrógeno
power vacuum N — vacío m de poder
power walking N — marcha f
power workers NPL — trabajadores mpl del sector energético
- power up* * *['paʊər, 'paʊə(r)]
I
1)a) u (control, influence) poder m; ( of country) poderío m, poder mpower OVER somebody/something — poder sobre alguien/algo
to be in power — estar* en or ocupar el poder
balance of power — equilibrio m de fuerzas
to seize power — tomar el poder, hacerse* con el poder
to come to power — llegar* or subir al poder; (before n)
power sharing — compartimiento m del poder
power struggle — lucha f por el poder
b) u c ( official authority) poder mpower to + INF — poder para + inf
power of veto — derecho m de veto
2) ca) ( nation) potencia fb) (person, group)the powers that be — los que mandan, los que detentan el poder
3) ua) (physical strength, force) fuerza fmore power to your elbow — (colloq) bien hecho!
b) (of engine, loudspeaker, transmitter, telescope) potencia fprocessing power — capacidad f de procesamiento
c) (of tradition, love) poder m, fuerza f; ( of argument) fuerza f, lo poderoso or convincente4)a) u (ability, capacity)I did everything in my power — hice todo lo que estaba en mi(s) mano(s), hice todo lo que me era posible
b) ( specific faculty) (often pl)power(s) of concentration — capacidad f or poder m de concentración
mental powers — inteligencia f, facultades fpl mentales
he was at the height of his power(s) — estaba en su mejor momento or en la plenitud de sus facultades
5) ua) (Eng, Phys) potencia f; ( particular source of energy) energía fsolar power — energía solar; (before n)
power brakes — servofrenos mpl
power steering — dirección f asistida
b) ( electricity) electricidad f; (before n)power cable — cable m de energía eléctrica
power lines — cables mpl de alta tensión
power point — (BrE) toma f de corriente, enchufe m, tomacorriente(s) m (AmS)
power tool — herramienta f eléctrica
6) u ( Math) potencia f10 to the power of 4/of 3 — 10 (elevado) a la cuarta potencia/al cubo
7) ( a lot)to do somebody a power of good — hacerle* a alguien mucho bien
II
1.
steam-powered — a or de vapor
2.
vi ( move rapidly) (colloq) (+ adv compl) -
8 Intelligence
There is no mystery about it: the child who is familiar with books, ideas, conversation-the ways and means of the intellectual life-before he begins school, indeed, before he begins consciously to think, has a marked advantage. He is at home in the House of intellect just as the stableboy is at home among horses, or the child of actors on the stage. (Barzun, 1959, p. 142)It is... no exaggeration to say that sensory-motor intelligence is limited to desiring success or practical adaptation, whereas the function of verbal or conceptual thought is to know and state truth. (Piaget, 1954, p. 359)ntelligence has two parts, which we shall call the epistemological and the heuristic. The epistemological part is the representation of the world in such a form that the solution of problems follows from the facts expressed in the representation. The heuristic part is the mechanism that on the basis of the information solves the problem and decides what to do. (McCarthy & Hayes, 1969, p. 466)Many scientists implicitly assume that, among all animals, the behavior and intelligence of nonhuman primates are most like our own. Nonhuman primates have relatively larger brains and proportionally more neocortex than other species... and it now seems likely that humans, chimpanzees, and gorillas shared a common ancestor as recently as 5 to 7 million years ago.... This assumption about the unique status of primate intelligence is, however, just that: an assumption. The relations between intelligence and measures of brain size is poorly understood, and evolutionary affinity does not always ensure behavioral similarity. Moreover, the view that nonhuman primates are the animals most like ourselves coexists uneasily in our minds with the equally pervasive view that primates differ fundamentally from us because they lack language; lacking language, they also lack many of the capacities necessary for reasoning and abstract thought. (Cheney & Seyfarth, 1990, p. 4)Few constructs are asked to serve as many functions in psychology as is the construct of human intelligence.... Consider four of the main functions addressed in theory and research on intelligence, and how they differ from one another.1. Biological. This type of account looks at biological processes. To qualify as a useful biological construct, intelligence should be a biochemical or biophysical process or at least somehow a resultant of biochemical or biophysical processes.2. Cognitive approaches. This type of account looks at molar cognitive representations and processes. To qualify as a useful mental construct, intelligence should be specifiable as a set of mental representations and processes that are identifiable through experimental, mathematical, or computational means.3. Contextual approaches. To qualify as a useful contextual construct, intelligence should be a source of individual differences in accomplishments in "real-world" performances. It is not enough just to account for performance in the laboratory. On [sic] the contextual view, what a person does in the lab may not even remotely resemble what the person would do outside it. Moreover, different cultures may have different conceptions of intelligence, which affect what would count as intelligent in one cultural context versus another.4. Systems approaches. Systems approaches attempt to understand intelligence through the interaction of cognition with context. They attempt to establish a link between the two levels of analysis, and to analyze what forms this link takes. (Sternberg, 1994, pp. 263-264)High but not the highest intelligence, combined with the greatest degrees of persistence, will achieve greater eminence than the highest degree of intelligence with somewhat less persistence. (Cox, 1926, p. 187)There are no definitive criteria of intelligence, just as there are none for chairness; it is a fuzzy-edged concept to which many features are relevant. Two people may both be quite intelligent and yet have very few traits in common-they resemble the prototype along different dimensions.... [Intelligence] is a resemblance between two individuals, one real and the other prototypical. (Neisser, 1979, p. 185)Given the complementary strengths and weaknesses of the differential and information-processing approaches, it should be possible, at least in theory, to synthesise an approach that would capitalise upon the strength of each approach, and thereby share the weakness of neither. (Sternberg, 1977, p. 65)Historical dictionary of quotations in cognitive science > Intelligence
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9 method
n
- abbreviated method
- accelerated method
- accounting method
- accretion method
- accrual method
- accrued benefit valuation method
- actual cost method
- actuarial method
- adequate method
- ad hoc method
- advanced method
- advertising method
- age-life method of depreciation
- amortization method
- approximation method
- assessment method
- automated processing method
- backtracking method
- balance method
- batch method of production
- bidding methods
- block booking method
- bookkeeping method
- branch-and-bound method
- by-product method of cost accounting
- calculation method
- capital-intensive method of production
- case study method
- cash receipts and disbursements method of accounting
- common methods of fraud
- completed contract method
- complete elimination method
- composition ratio method
- continual review method
- control method
- conventional method
- conventional production methods
- costing method
- cost-based methods
- cost depletion method
- cost-plus method
- cost-recovery method
- cost-saving method
- credit-scoring method
- critical path method
- declining-balance depreciation method
- depreciation method
- design methods
- direct method of depreciation
- direct method of standardization
- direct write-off method
- discounted cash flow method
- distributing method
- distribution method
- double-declining-balance depreciation method
- double description method
- double entry method
- economical method
- effective method
- efficient method
- estimating method
- evaluation method
- fabrication method
- fifo costing method
- first in, first out costing method
- forecasting method
- general method
- generalized method
- genetic engineering method
- graduation method
- graph method
- gross method
- gross profit method
- index method
- indexing method
- industrial method
- inspection method
- installment sale method
- inventory method
- inventory valuation method
- investment valuation method
- irregular method of write-off
- item-by-item method
- job method of cost accounting
- job order method of cost accounting
- joint product method of cost accounting
- kid-glove methods
- labour-hour method of depreciation
- lean production methods
- least-squares method
- lifo costing method
- last in, first out costing method
- loading method
- machine-hour method
- machine-hour rate depreciation method
- machining method
- mail questionnaire method
- major category method
- manual methods
- manufacturing method
- matching transactions method
- materials moving methods
- net method
- network method
- normal method
- numerical method
- one-factor-at-a-time method
- operating method
- output method of depreciation
- packaging method
- packing method
- patentable method
- patented method
- payback method
- periodic inventory method
- perpetual inventory method
- perturbation method
- physical volume method
- playback method
- point method
- prediction methods
- present value method
- pricing method
- prime cost method
- process method of cost accounting
- processing method
- production methods
- production method of depreciation
- production control method
- profit split method
- progressive methods
- quality control method
- quantitative method
- random observation method
- ranking method
- reducing balance method of depreciation
- reinterview method
- replacement method of depreciation
- resale price method
- retirement method of depreciation
- risk management method
- safe method
- sample method
- sampling method
- saturation method
- scheduling method
- scientific method
- searching method
- sequential method
- service output depreciation method
- short method
- simplex method
- sinking fund method of depreciation
- special method
- standard method
- statistical method
- stochastic approximation method
- straight line method
- straight-line method of depreciation
- straight line depreciation method
- straight-line flow method
- sum of the digits method of depreciation
- sum of the years' digits method of depreciation
- systematical method
- table method
- tally sheet method
- taxation method
- teaching methods
- team development method
- test method
- testing method
- total inventory method
- trial and error method
- turnover method
- unit method of depreciation
- unit of production method of depreciation
- unit of production depreciation method
- valuation method
- variational method
- working method
- working hours method of depreciation
- workshop method
- method of accounting
- method of amortization
- method of analysis
- method of assessment
- method of average
- method of calculation
- method of characteristics
- method of collaboration
- method of comparison
- methods of construction
- method of conveyance
- method of cooperation
- method of delivery
- method of depreciation
- method of designated routes
- method of display
- method of distribution
- methods of dodging taxes
- method of estimation
- method of evaluation
- method of exclusion
- method of feasible directions
- method of finance
- method of financing
- method of forwarding
- method of identification
- method of indirect export
- method of indirect import
- method of inspection
- method of leading averages
- method of leading variables
- method of levying duties
- methods of management
- method of manufacture
- method of operation
- method of ordering
- method of packaging
- method of packing
- method of payment
- method of planning
- method of production
- method of promotion
- method of quality determination
- methods of regulation
- method of reimbursement
- method of sales promotion
- method of sampling
- method of settlement
- method of shipment
- method of shipping
- method of smoothing
- method of solution
- method of stowage
- method of stowing
- method of successive approximation
- methods of trading
- methods of training
- method of transportation
- method of working
- cost or market whichever is lower method of inventory valuation
- adopt a method
- apply a method
- develop a method
- employ a method
- follow a method
- introduce a method
- practise a method
- realize a method
- repeal a method
- revise a method
- work out a methodEnglish-russian dctionary of contemporary Economics > method
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10 method
метод; процедура; способ- antithetic variate method - average ordinate method - average range method - binary search method - conjugate directions method - conjugate gradient method - control chart method - conventional milling method - correlation function method - decision function method - differential control method - Feynman diagram method - first approximation method - gradient projection method - iterative method - large sample method - large sieve method - least-squares regression method - less than fully efficient method - linearly implicit method - method of adjoint gradient - method of algebraic addition - method of alternating directions - method of balanced blocks - method of complex numbers - method of confidence intervals - method of conformal mappings - method of conjugate directions - method of conjugate gradients - method of cyclic descent - method of detached coefficients - method of disjunction of cases - method of divided differences - method of electrical images - method of elimination of quantifiers - method of empty ball - method of extreme values - method of false position - method of feasible directions - method of finite differences - method of first approximation - method of first entrance - method of fitting constants - method of fixed points - method of full enumeration - method of generating functions - method of geometric exhaustion - method of indefinite coefficients - method of infinite descent - method of interval bisection - method of least absolute values - method of least distance - method of least likelihood - method of maximum likelihood - method of means and standard deviations - method of medians and extreme values - method of minimal change - method of minimal variance - method of mirror reflections - method of moving frame - method of multiple comparison - method of orthogonal projections - method of paired associates - method of paired comparisons - method of phase integrals - method of projecting cones - method of proportional parts - method of rotating factors - method of semantic tableaux - method of separation of variables - method of simulaneous displacements - method of stationary phase - method of statistical differentials - method of statistical inference - method of steep variations - method of steepest ascent - method of stochastic approximation - method of straightforward iteration - method of successive displacements - method of successive divisions - method of successive elimination - method of transfinite induction - method of unweighted means - method of variable differences - method of variation of parameters - method of weighted residuals - optimum method - parallel tangents method - precision method - random walk method - recursive method - reduced gradient method - reflected wave method - relative method of measurement - sampling method by variables - statistical sampling method - steepest descent method - time average method -
11 time
1) время
2) времена
3) временной
4) година
5) раз
6) хронировать
7) хронометражный
8) хронометрировать
9) срок
10) период
11) отмечать время
12) времяобразный
13) пора
14) такт
15) продолжительность
16) измерять
17) отсчитывать
18) синхронизировать
19) момент
– a longer time
– access time
– after-glow time
– all the time
– allowed time
– alloying time
– application time
– arrival time
– at that time
– at the same time
– auxiliary time
– beat time
– blanking time
– blowing time
– booking time
– braking time
– build-up time
– burn-out time
– by this time
– capture time
– charging time
– check-out time
– circuit time
– circulation time
– civil time
– clearing time
– coherence time
– computing time
– connection time
– continuous time
– conversion time
– count up time
– countdown time
– counting time
– curing time
– current-rise time
– cut-off time
– cycle time
– damping time
– de-excitation time
– dead time
– debug time
– decay time
– delay time
– demand time
– departure time
– detection time
– discharge time
– distribution in time
– down time
– drift time
– dwell time
– ephemeris time
– equation of time
– equilibration time
– estimated time
– excitation time
– exposure time
– fall time
– filing time
– fixed time
– flashing time
– flight time
– for a long time
– for the first time
– for the second time
– gelatination time
– generation time
– good time
– heat time
– hold time
– holding time
– hunting time
– idle time
– improvement time
– in real time
– in time
– in-service time
– installation time
– instant time
– integration time
– interaction time
– keep time
– lag time
– lead time
– legal time
– life time
– load time
– local time
– locking time
– longitude in time
– lost time
– machine time
– machining time
– manual time
– molding time
– Moscow time
– most of the time
– negative time
– next time
– nitriding time
– non real time
– off-air time
– operate time
– operation time
– paid time
– passage time
– payment on time
– periodic time
– pertaining to time
– point in time
– port time
– predetermined time
– preparation time
– preset time
– processing time
– production time
– propagation time
– pull-in time
– pulse time
– pulse-delay time
– pump-down time
– pumping time
– quantization time
– reaction time
– read-out time
– readout time
– real time
– reclosing time
– recognition time
– recording time
– recovery time
– recurrence time
– relaxation time
– release time
– releasing time
– reset time
– resolving time
– response time
– resting time
– retention time
– retrace time
– retrieval time
– return time
– reverberation time
– ringing time
– rise time
– rolling time
– running time
– sampling time
– saving of time
– schedule time
– scheduled time
– screwdown time
– selection time
– separation in time
– settling time
– setup time
– sidereal time
– slew time
– slot time
– slowing-down time
– soaking time
– solar time
– splitting time
– stabilization time
– standard time
– starting time
– storage time
– survival time
– switching time
– teardown time
– time acceleration
– time average
– time averaging
– time behaviour
– time card
– time cargo
– time cell
– time check
– time coherence
– time compression
– time compressor
– time constant
– time correlation
– time delay
– time demodulation
– time dependence
– time derivative
– time diagram
– time dilatation
– time discriminator
– time diversity
– time division
– time effect
– time fuse
– time grading
– time history
– time in flight
– time in rolls
– time integral
– time interval
– time inversion
– time lag
– time lag of switching
– time line
– time magnifier
– time mark
– time marker
– time meter
– time modulation
– time multiplex
– time multiplexing
– time of circulation
– time of cure
– time of exposure
– time of flight
– time of operation
– time of propagation
– time of release
– time of response
– time of solution
– time off
– time on
– time per piece
– time quadrature
– time relay
– time release
– time resolution
– time response
– time sampling
– time scale
– time scaling
– time scanning
– time sequence
– time sharing
– time shift
– time signal
– time slicing
– time slot
– time span
– time spread
– time star
– time step-interval
– time to failure
– time to go
– time to rupture
– time variation
– time zone
– transient time
– transit time
– transition time
– trapping time
– travel time
– true time
– turn-off time
– turn-on time
– unit time
– universal time
– unoccupied time
– upsetting time
– valve-opening time
– viewing time
– waiting time
– warm-up time
– word time
– zero time
– zone time
crystal-controlled time marker — кварцованная временная метка
electric time locking — < railways> электрозамыкание временное
from time to time — временами, по временам
from time to time — временами, по временам
injection-and-transit time diode — инжекционно-пролетный диод
local apparent time — <astr.> время истинное местное
mean solar time — среднее солнечное время, <astr.> время солнечное истинное
non-radiative relaxation time — время бызызлучательной релаксации
one-pulse time delay — задержка импульса на один главный импульс, задержка импульса на один разряд
preparation and finishing-up time — <industr.> время подготовительно-заключительное
pulse rise time — время нарастания импульса, длительность фронта импульса
time and percussion fuse — <engin.> взрыватель комбинированного действия дистанционный
time domain spectroscopy — <opt.> спектроскопия временная
time interval system — < railways> разграничение поездов временем
time magnifying study — <engin.> лупа времени
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12 technique
1) метод, способ; (технологический) приём2) технология3) техника; профессиональные приёмы и навыки; мастерство•- alloying technique
- angle-lap technique
- anti-aliasing technique
- back-reflection Berg-Barrett technique
- backscatter technique
- ball alloy technique
- base-emitter self-aligning technique
- batch technique
- batch-fabrication technique
- Bayesian technique
- beam lead technique
- bias-compensation technique
- Bitter technique
- black-write technique
- boat-in-solder technique
- Borrman anomalous-transmission technique
- breadth-first search technique
- bristle block technique
- brute force technique
- bubble rocking technique
- CCM techniques
- chemical-transport technique
- chemical vapor infiltration technique
- closed-tube technique
- cold-cathode technique
- cold crucible technique
- collapse technique
- counter-countermeasures techniques
- crucibleless technique
- cryogenic technique
- cryptographic techniques
- crystal-pulling technique
- crystal pushing technique
- Czochralski technique
- dark-field technique
- data storage techniques
- decoration technique
- depth-first search technique
- dialog debug technique
- diffraction Berg-Barrett technique
- digital adaptive technique for efficient communications
- diversity technique
- dot-and-dash technique
- double-diffusion technique
- double-diffusion fabrication technique
- double-doping technique
- electroless technique
- electron-beam probe technique
- electron-beam resist technique
- enumerative technique
- epi technique
- epitaxial technique
- estimation technique
- face-down technique
- fine-line technique
- flame-fusion technique
- flip-chip technique
- floating-crucible technique
- floating-zone technique
- float-zoning technique
- folded spectrum technique
- frequency hopping technique
- gas-doping technique
- gradient technique
- graphical evaluation and review technique
- grown-junction technique
- half-select technique
- harmonic mixer technique
- hollow-cathode technique
- holographic technique
- horizontal pulling technique
- horizontal crystal pulling technique
- hot-and-cold load technique
- hot-pressing technique
- incremental time technique
- integrated technique
- interface-alloy technique
- interference technique
- inverted-mesa processing technique
- inverted mounted technique
- ion-implantation technique
- iterative technique
- jet-etching technique
- jet-solder technique
- Kruger-Finke technique
- lenticular color technique
- macrocell technique
- masking technique
- mason-jar technique
- meltback technique
- melt-quench technique
- mesa technique
- microalloy technique
- microelectronic technique
- microstrip technique
- microwave technique
- modified digital adaptive technique for efficient communications
- Monte-Carlo technique
- moving-mask technique
- multijunction epitaxial technique
- multimicrophone technique
- multiple-access technique
- multiple-color-filters technique
- multiplexer technique
- near-field technique
- normal-freezing technique
- one-probe technique
- one-way scheduling technique
- open-tube technique
- optical heterodyne technique
- pedestal technique
- photolithographic technique
- photoprocessing technique
- piston-crucible technique
- planar-epitaxial technique
- post-alloy-diffusion technique
- powder-pattern technique
- printed-circuit technique
- program evaluation and review technique
- programmed growth rate technique
- proton guard-ring implant technique
- pulse technique
- pulse-alloying technique
- pyrolitic-deposition technique
- RAD technique
- rapid application development technique
- salami technique
- scaling technique
- scan-in, scan-out technique
- schlieren technique
- sequential weight increasing factor technique
- silk-screening technique
- simulation technique
- simultaneous iterative reconstruction technique
- single-mask technique
- slip-mat fast-start technique
- solder-ball technique
- solder-reflow technique
- solder transfer application technique
- solid-state technique
- solution-regrowth technique
- solvent-evaporation technique
- spread-spectrum technique
- sputtering technique
- strain-annealed technique
- structured analysis and design technique
- subtractive color technique
- surface-melting technique
- template matching technique
- testing technique
- thermal-gradient technique
- thermal-wave technique
- thermocompression technique
- thick-film technique
- thin-film technique
- transmission Berg-Barrett technique
- two-turntable quick-start technique
- vacuum-deposition technique
- vacuum-evaporation technique
- vapor-plating technique
- Verneuil technique
- vertical pulling technique
- vertical crystal pulling technique
- wave soldering technique
- weight-counting technique
- white-write technique
- zone-leveling technique
- zone-melting technique -
13 Combinations
Good Combinations Result from a Long Sequence of Combinatorial Mental ProcessingThe role of the preliminary conscious work... is evidently to mobilize certain of these [hooked] atoms [of thought], to unhook them from the wall and put them in swing. We think we have done no good, because we have moved these elements a thousand different ways in seeking to assemble them, and have found no satisfactory aggregate. But, after this shaking up imposed upon them by our will, these atoms do not return to their primitive rest. They freely continue to dance.... The mobilized atoms are... not any atoms whatsoever; they are those from which we might reasonably expect the desired solution. Then the mobilized atoms undergo impacts which make them enter into combinations among themselves or with other atoms at rest which they struck against in their course.... However it may be, the only combinations that have a chance of forming are those where at least one of the elements is one of those atoms freely chosen by our will. Now, it is evidently among these that is found what I called the good combination. (Poincareґ, 1921, pp. 393-394)Historical dictionary of quotations in cognitive science > Combinations
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14 optimization
- подбор оптимальных условий
- оптимизация
- определение оптимальных характеристик
- выбор оптимальных параметров
выбор оптимальных параметров
—
[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
определение оптимальных характеристик
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[ http://slovarionline.ru/anglo_russkiy_slovar_neftegazovoy_promyishlennosti/]Тематики
EN
оптимизация
Процесс отыскания варианта, соответствующего критерию оптимальности
[Терминологический словарь по строительству на 12 языках (ВНИИИС Госстроя СССР)]
оптимизация
1. Процесс нахождения экстремума функции, т.е. выбор наилучшего варианта из множества возможных, процесс выработки оптимальных решений; 2. Процесс приведения системы в наилучшее (оптимальное) состояние. Иначе говоря, первое определение трактует термин «О.» как факт выработки и принятия оптимального решения (в широком смысле этих слов); мы выясняем, какое состояние изучаемой системы будет наилучшим с точки зрения предъявляемых к ней требований (критерия оптимальности) и рассматриваем такое состояние как цель. В этом смысле применяется также термин «субоптимизация» в случаях, когда отыскивается оптимум по какому-либо одному критерию из нескольких в векторной задаче оптимизации (см. Оптимальность по Парето, Векторная оптимизация). Второе определение имеет в виду процесс выполнения этого решения: т.е. перевод системы от существующего к искомому оптимальному состоянию. В зависимости от вида используемых критериев оптимальности (целевых функций или функционалов) и ограничений модели (множества допустимых решений) различают скалярную О., векторную О., мно¬гокритериальную О., стохастическую О (см. Стохастическое программирование), гладкую и негладкую (см. Гладкая функция), дискретную и непрерывную (см. Дискретность, Непрерывность), выпуклую и вогнутую (см. Выпуклость, вогнутость) и др. Численные методы О., т.е. методы построения алгоритмов нахождения оп¬тимальных значений целевых функций и соответствующих точек области допустимых значений — развитой отдел современной вычислительной математики. См. Оптимальная задача.
[ http://slovar-lopatnikov.ru/]Параллельные тексты EN-RU из ABB Review. Перевод компании Интент
The quest for the optimumВопрос оптимизацииThroughout the history of industry, there has been one factor that has spurred on progress more than any other. That factor is productivity. From the invention of the first pump to advanced computer-based optimization methods, the key to the success of new ideas was that they permitted more to be achieved with less. This meant that consumers could, over time and measured in real terms, afford to buy more with less money. Luxuries restricted to a tiny minority not much more than a generation ago are now available to almost everybody in developed countries, with many developing countries rapidly catching up.На протяжении всей истории промышленности существует один фактор, подстегивающий ее развитие сильнее всего. Он называется «производительность». Начиная с изобретения первого насоса и заканчивая передовыми методами компьютерной оптимизации, успех новых идей зависел от того, позволяют ли они добиться большего результата меньшими усилиями. На языке потребителей это значит, что они всегда хотят купить больше, а заплатить меньше. Меньше чем поколение назад, многие предметы считались роскошью и были доступны лишь немногим. Сейчас в развитых странах, число которых быстро увеличивается, подобное может позволить себе почти каждый.With industry and consumers expecting the trend towards higher productivity to continue, engineering companies are faced with the challenge of identifying and realizing further optimization potential. The solution often lies in taking a step back and looking at the bigger picture. Rather than optimizing every step individually, many modern optimization techniques look at a process as a whole, and sometimes even beyond it. They can, for example, take into account factors such as the volatility of fuel quality and price, the performance of maintenance and service practices or even improved data tracking and handling. All this would not be possible without the advanced processing capability of modern computer and control systems, able to handle numerous variables over large domains, and so solve optimization problems that would otherwise remain intractable.На фоне общей заинтересованности в дальнейшем росте производительности, машиностроительные и проектировочные компании сталкиваются с необходимостью определения и реализации возможностей по оптимизации своей деятельности. Для того чтобы найти решение, часто нужно сделать шаг назад, поскольку большое видится на расстоянии. И поэтому вместо того, чтобы оптимизировать каждый этап производства по отдельности, многие современные решения охватывают процесс целиком, а иногда и выходят за его пределы. Например, они могут учитывать такие факторы, как изменение качества и цены топлива, результативность ремонта и обслуживания, и даже возможности по сбору и обработке данных. Все это невозможно без использования мощных современных компьютеров и систем управления, способных оперировать множеством переменных, связанных с крупномасштабными объектами, и решать проблемы оптимизации, которые другим способом решить нереально.Whether through a stunning example of how to improve the rolling of metal, or in a more general overview of progress in optimization algorithms, this edition of ABB Review brings you closer to the challenges and successes of real world computer-based optimization tasks. But it is not in optimization and solving alone that information technology is making a difference: Who would have thought 10 years ago, that a technician would today be able to diagnose equipment and advise on maintenance without even visiting the factory? ABB’s Remote Service makes this possible. In another article, ABB Review shows how the company is reducing paperwork while at the same time leveraging quality control through the computer-based tracking of production. And if you believed that so-called “Internet communities” were just about fun, you will be surprised to read how a spin-off of this idea is already leveraging production efficiency in real terms. Devices are able to form “social networks” and so facilitate maintenance.Рассказывая об ошеломляющем примере того, как был усовершенствован процесс прокатки металла, или давая общий обзор развития алгоритмов оптимизации, этот выпуск АББ Ревю знакомит вас с практическими задачами и достигнутыми успехами оптимизации на основе компьютерных технологий. Но информационные технологии способны не только оптимизировать процесс производства. Кто бы мог представить 10 лет назад, что сервисный специалист может диагностировать производственное оборудование и давать рекомендации по его обслуживанию, не выходя из офиса? Это стало возможно с пакетом Remote Service от АББ. В другой статье этого номера АББ Ревю рассказывается о том, как компания смогла уменьшить бумажный документооборот и одновременно повысить качество управления с помощью компьютерного контроля производства. Если вы считаете, что так называемые «интернет-сообщества» служат только для развлечения,то очень удивитесь, узнав, что на основе этой идеи можно реально повысить производительность. Формирование «социальной сети» из автоматов значительно облегчает их обслуживание.This edition of ABB Review also features several stories of service and consulting successes, demonstrating how ABB’s expertise has helped customers achieve higher levels of productivity. In a more fundamental look at the question of what reliability is really about, a thought-provoking analysis sets out to find the definition of that term that makes the greatest difference to overall production.В этом номере АББ Ревю есть несколько статей, рассказывающих об успешных решениях по организации дистанционного сервиса и консультирования. Из них видно, как опыт АББ помогает нашим заказчикам повысить производительность своих предприятий. Углубленные размышления о самой природе термина «надежность» приводят к парадоксальным выводам, способным в корне изменить представления об оптимизации производства.Robots have often been called “the extended arm of man.” They are continuously advancing productivity by meeting ever-tightening demands on precision and efficiency. This edition of ABB Review dedicates two articles to robots.Робот – это могучее «продолжение» человеческой руки. Применение роботов способствует постоянному повышению производительности, поскольку они отвечают самым строгим требованиям точности и эффективности. Две статьи в этом номере АББ Ревю посвящены роботам.Further technological breakthroughs discussed in this issue look at how ABB is keeping water clean or enabling gas to be shipped more efficiently.Говоря о других технологических достижениях, обсуждаемых на страницах журнала, следует упомянуть о том, как компания АББ обеспечивает чистоту воды, а также более эффективную перевозку сжиженного газа морским транспортом.The publication of this edition of ABB Review is timed to coincide with ABB Automation and Power World 2009, one of the company’s greatest customer events. Readers visiting this event will doubtlessly recognize many technologies and products that have been covered in this and recent editions of the journal. Among the new products ABB is launching at the event is a caliper permitting the flatness of paper to be measured optically. We are proud to carry a report on this product on the very day of its launch.Публикация этого номера АББ Ревю совпала по времени с крупнейшей конференцией для наших заказчиков «ABB Automation and Power World 2009». Читатели, посетившие ее, смогли воочию увидеть многие технологии и изделия, описанные в этом и предыдущих выпусках журнала. Среди новинок, представленных АББ на этой конференции, был датчик, позволяющий измерять толщину бумаги оптическим способом. Мы рады сообщить, что сегодня он готов к выпуску.Тематики
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Англо-русский словарь нормативно-технической терминологии > optimization
15 assembly equipped with devices limiting internal arc effects
НКУ с устройствами ограничения воздействия внутренней дуги
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[Интент]Параллельные тексты EN-RU
Assemblies equipped with devices limiting internal arc effects (active protection)
A design philosophy which is completely different from that just considered consists in guaranteeing the resistance to internal arcing by installing devices limiting the arc.
The approaches in that direction can be of two different types:
• limiting the destructive effects of the arc, once it has occured, by means of arc detectors
• limiting the destructive effects of the arc, once it has occured, by means of overpressure detectors.
The first possibility consists in installing in the assembly arc detectors which sense the light flux associated with the electric arc phenomenon.
Once the arc has been detected, these devices send an opening signal to the incoming circuit-breaker, thus guaranteeing tripping times of the order of 1-2 ms, therefore shorter than those proper of the circuit-breaker.
The operating logic of an arc detector is the following: the occurrence of an arc inside the switchboard is detected by the arc detector because an intense light radiation is associated with this phenomenon.
The arcing control system detects the event and sends a tripping signal to the circuit-breaker.
All the above with trip times of a few milliseconds and supplanting the tripping of the CB overcurrent relay which, for example, could be delayed due to current selectivity questions.
Figure 1 shows the possible positions where this device can be installed inside a switchboard.
The ideal solution is that which provides the installation of at least one detector for each column, with the consequent reduction to a minimum of the length of the optical fibers carrying the signal.
In order to prevent from an unwanted tripping caused by light sources indepent of the arc (lamps, solar radiation etc.), an additional current sensor is often positioned at the incoming of the main circuit-breaker.
Only in the event of an arc, both the incoming sensor which detects an “anomalous” current due to the arc fault as well as the sensor detecting the light radiation as sociated with the arc enable the system to intervene and allow the consequent opening of the circuit-breaker.
The second possibility consists in installing overpressure sensors inside the switchboard.
As previously described, the overpressure wave is one of the other effects occurring inside an assembly in case of arcing.
As a consequence it is possible to install some pressure sensors which are able to signal the pressure peak associated with the arc ignition with a delay of about 10-15 ms.
The signal operates on the supply circuit-breaker without waiting for the trip times of the selectivity protections to elapse, which are necessarily longer.
Such a system does not need any electronic processing device, since it acts directly on the tripping coil of the supply circuit-breaker.
Obviously it is essential that the device is set at fixed trip thresholds.
When an established internal overpressure is reached, the arc detector intervenes.
However, it is not easy to define in advance the value of overpressure generated by an arc fault inside a switchboard.
[ABB]НКУ с устройствами ограничения воздействия внутренней дуги (активная защита)
Для решения этой задачи используются совершенно другие, отличающиеся от ранее рассмотренных, принципы, заключающиеся в том, что противодействие внутренней дуге обеспечивается применением устройств, ограничивающих саму дугу.
Существует два типа решения проблемы в этом направлении:
• ограничение разрушающего воздействия дуги после того, как ее обнаружат специальные устройства
• ограничение разрушающего воздействия дуги после того, как специальные устройства обнаружат возникновение избыточного давления.
В первом случае в НКУ устанавливают устройства обнаружения дуги, реагирующие на световой поток, сопровождающий явление электрической дуги.
При обнаружении дуги данные устройства посылают сигнал управления на размыкание вводного автоматического выключателя. Гарантируемое время реакции составляет 1-2 мс, что меньше времени срабатывания автоматического выключателя.
Логика работы устройства обнаружения дуги следующая: Дуга, возникшая внутри НКУ, обнаруживается датчиком, реагирующим на интенсивное световое излучение, которым сопровождается горение дуги.
Обнаружив дугу, система управления посылает сигнал автоматическому выключателю.
Время срабатывания датчика и системы управления составляет несколько миллисекунд, что меньше времени срабатывания автоматического выключателя, осуществляющего защиту от сверхтока, который обычно для обеспечения требуемой селективности срабатывает с задержкой.
На рис. 1 показаны места возможной установки устройства защиты внутри НКУ.
Идеальным решением является установка, по крайней мере, одного устройства защиты в каждый шкаф многошкафного НКУ.
Это позволит до минимума сократить длину оптоволоконных кабелей передачи сигнала.
Для предотвращения ложного срабатывания от других источников света (т. е. не от дуги), например, таких как лампы, солнечное излучение и т. п., дополнительно в главной цепи вводного автоматического выключателя устанавливают датчик тока.
Только при наличии двух событий, а именно: срабатывания датчика света и обнаружения аномального увеличения тока, система управления считает, что возникла электрическая дуга и подает команду на отключение вводного автоматического выключателя.
Второе решение заключается в установке внутри НКУ датчика избыточного давления.
Как было описано ранее, одним из характерных проявлений электрической дуги, возникшей внутри НКУ, является ударная волна.
Это означает, что можно установить несколько датчиков давления, задачей которых является обнаружение импульса давления (с задержкой 10…15 мс), обусловленного зажиганием дуги.
Сигнал от датчиков давления поступает на вводной автоматический выключатель, который срабатывает без задержки на обеспечение селективности.
Такая система не нуждается в электронном устройстве обработки информации, поскольку воздействует непосредственно на независимый расцепитель автоматического выключателя.
Вполне понятно, что такое устройство имеет фиксированный порог срабатывания.
Датчик-реле дуги сработает, как только будет достигнуто заданное значение избыточного давления.
Следует иметь в виду, что не так легко заранее определить значение избыточного давления, которое будет создано при зажигании дуги внутри НКУ.
[Перевод Интент]Тематики
- НКУ (шкафы, пульты,...)
EN
Англо-русский словарь нормативно-технической терминологии > assembly equipped with devices limiting internal arc effects
16 OSP
1) Общая лексика: hum. сокр. Outer Surface Protein2) Морской термин: (one safe port) один безопасный порт (всегда на плаву)3) Военный термин: On Site Procurement, Operational Support Package, Operational Support Packages, ocean survey program, on-station position, operational survival plan, operations support plan, outfitting stock point4) Техника: operational surveillance program, optical sensor platform, optical signal processing, ordinary super phosphate5) Шутливое выражение: Overly Sloppy Person6) Юридический термин: Open Settlement Protocol7) Сокращение: Ocean Surveillance Product, Ocean Survey Program (USA), Off-Shore Procedure, Optical Storage Processor, Optical Surveillance Platform, Orbital/Suborbital Program, oil suction pump, operating steam pressure8) Университет: Opportunity Scholars Program9) Электроника: Organic Solderability Preservative10) Вычислительная техника: OS protected, Open Profiling Standard11) Нефть: offset seismic profile12) Связь: Online Service Provider, Open Service Platform (IN)13) Пищевая промышленность: Orange Smoothie Pack14) Фирменный знак: Old School Productions, Open Studios Press, Orange Smoothie Productions15) Деловая лексика: Online Solution Provider, Operational Service Provider, Operations Standard Practice16) Американский английский: полиция штата Орегон, Oregon State Police17) Сетевые технологии: Open Systems Philosophy, философия открытых систем18) Океанография: On Stagnant Pond19) Безопасность: Operator Security Password20) Расширение файла: On-Screen Programming21) Базы данных: Oracle Stored ProcedureСм. также в других словарях:
One-solution processing — Однорастворная обработка (напр. фотокопий) … Краткий толковый словарь по полиграфии
One-shot learning — is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object categorization algorithms require training on hundreds or thousands of images and very large datasets, one shot… … Wikipedia
solution — solutional, adj. /seuh looh sheuhn/, n. 1. the act of solving a problem, question, etc.: The situation is approaching solution. 2. the state of being solved: a problem capable of solution. 3. a particular instance or method of solving; an… … Universalium
Transaction processing — For other uses, see Transaction (disambiguation). In computer science, transaction processing is information processing that is divided into individual, indivisible operations, called transactions. Each transaction must succeed or fail as a… … Wikipedia
Pulsed Electric Field Processing — Pulsed electric field (PEF) processing is a method for processing cells by means of brief pulses of a strong electric field. PEF holds potential as a type of low temperature alternative pasteurization process for sterilizing food products. In PEF … Wikipedia
copper processing — Introduction use of smelting or leaching, usually followed by electrolytic refining or recovery, to turn the ore into a form from which products can be fashioned. Included in this article also is a discussion of the mining of copper and of its… … Universalium
cereal processing — Introduction treatment of cereals (cereal) and other plants to prepare their starch for human food, animal feed, or industrial use. Nutrient composition of selected raw cereal grains (per 100 grams)Cereals, or grains, are members of… … Universalium
aluminum processing — Introduction preparation of the ore for use in various products. Aluminum, or aluminium (Al), is a silvery white metal with a melting point of 660° C (1,220° F) and a density of 2.7 grams per cubic centimetre. The most abundant… … Universalium
uranium processing — Introduction preparation of the ore for use in various products. Uranium (U), although very dense (19.1 grams per cubic centimetre), is a relatively weak, nonrefractory metal. Indeed, the metallic properties of uranium appear to be… … Universalium
Viral processing — The main idea behind viral processing is to stop the viruses in a given sample from infecting the desired product. The two most widely used methods of viral processing are viral removal and viral inactivation . The former is a method in which all … Wikipedia
Graphics processing unit — GPU redirects here. For other uses, see GPU (disambiguation). GeForce 6600GT (NV43) GPU A graphics processing unit or GPU (also occasionally called visual processing unit or VPU) is a specialized circuit designed to rapidly manipulate and alter… … Wikipedia
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