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1 проблема логического вывода
Русско-английский словарь по вычислительной технике и программированию > проблема логического вывода
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2 проблема логического вывода
Русско-английский большой базовый словарь > проблема логического вывода
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3 проблема вывода
inference problem мат.Русско-английский научно-технический словарь Масловского > проблема вывода
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4 задача статистического вывода
Quality control: inference problemУниверсальный русско-английский словарь > задача статистического вывода
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5 проблема вывода
Mathematics: inference problem (логического) -
6 проблема логического вывода
Information technology: inference problemУниверсальный русско-английский словарь > проблема логического вывода
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7 procesador inferencial
(n.) = inference engine, inference machineEx. An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.Ex. The 'problem-solving and inference machine' is put in place of today's processor.* * *(n.) = inference engine, inference machineEx: An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.
Ex: The 'problem-solving and inference machine' is put in place of today's processor. -
8 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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9 solución a problemas
(n.) = problem solutionEx. An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.* * *(n.) = problem solutionEx: An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.
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10 sacar
v.1 to take out.sacar algo de to take something out ofsacó la mano/la cabeza por la ventanilla he stuck his hand/head out of the windownos sacaron algo de comer they gave us something to eatEllos sacaron a los perros They took out the dogs.2 to remove.el dentista me sacó una muela I had a tooth out at the dentist's3 to get (obtener) (carné, entradas, buenas notas).¿qué sacaste en el examen de inglés? what did you get for o in your English exam?sacar dinero del banco to get o take some money out of the bankla sidra se saca de las manzanas cider is made from apples¿y qué sacamos con reñirle? what do we gain by telling him off?, what's the point in telling him off?Ella saca provecho She gets benefits.4 to take (realizar) (foto).siempre me sacan fatal en las fotos I always look terrible in photos5 to bring out (al mercado) (nuevo producto, modelo).6 to work out, to do.sacar la cuenta/la solución to work out the total/the answersacar una conclusión to come to a conclusion7 to gather, to understand.lo leí tres veces, pero no saqué nada en claro o limpio I read it three times, but I couldn't make much sense of it8 to let out (item of clothing) (de ancho). (peninsular Spanish)9 to take off. ( Latin American Spanish)sácale la ropa al niño get the child undressed10 to throw in (sport) (con la mano).11 to put the ball into play (sport).sacar de banda/de esquina/de puerta to take a throw-in/corner/goal kick12 to stick out, to put out one's, to put out, to show.María saca la lengua Mary sticks out her tongue.13 to serve the ball.Ricardo saca Richard serves the ball.14 to be obtained from.Se te saca información Information is obtained from you.15 to be extracted from, to be removed from.Se me sacó una muela A molar was extracted from me.* * *(c changes to qu before e)Past Indicativesaqué, sacaste, sacó, sacamos, sacasteis, sacaron.Present SubjunctiveImperative* * *verb1) to take out2) get, obtain3) get out4) produce, invent5) introduce7) release (a book, a disc, a film)* * *Para las expresiones sacar adelante, sacar brillo, sacar algo en claro, sacar los colores a algn, sacar faltas a algo, sacar algo en limpio, sacar provecho, sacar a relucir, ver la otra entrada.1. VERBO TRANSITIVO1) (=poner fuera) to take out, get outsacó el revólver y disparó — he drew his revolver and fired, he took {o} got his revolver out and fired
saca la basura, por favor — please put {o} take the rubbish out
•
sacar a algn a [bailar] — to get sb up for a dance•
sacar algo/a algn [de], sacó toda su ropa del armario — she took all his clothes out of the wardrobe, she removed all his clothes from the wardrobevoy a sacar dinero del cajero — I'm going to take {o} get some money out of the machine
¡sacadme de aquí! — get me out of here!
•
sacar a [pasear] a algn — to take sb (out) for a walk2) [de una persona] [+ diente] to take out¡deja ese palo, que me vas a sacar un ojo! — stop playing with that stick, you're going to poke my eye out!
•
sacar [sangre] a algn — to take blood from sb3) [con partes del cuerpo] to stick outpecho I, 1)4) (=obtener)a) [+ notas, diputados] to get¿y tú qué sacas con denunciarlo a la policía? — and what do you get out of {o} gain from reporting him to the police?
no consiguió sacar todos los exámenes en junio Esp — she didn't manage to pass {o} get all her exams in June
sacó un seis — [con dados] he threw a six
b) [+ dinero]lo hago para sacar unos euros — I do it to earn {o} make a bit of money
sacó el premio gordo — he got {o} won the jackpot
sacamos una ganancia de... — we made a profit of...
c) [+ puesto] to getd) [+ información] to getlos datos están sacados de dos libros — the statistics are taken {o} come from two books
¿de dónde has sacado esa idea? — where did you get that idea?
¿de dónde has sacado esa chica tan guapa? — where did you get {o} find such a beautiful girlfriend?
e)sacar algo de — [+ fruto, material] to extract sth from
f)le sacaron toda la información que necesitaban — they got all the information they needed from {o} out of him
g) [+ conclusión] to draw¿qué conclusión se puede sacar de todo esto? — what can be concluded from all of this?, what conclusion can be drawn from all of this?
lo que se saca de todo esto es que... — the conclusion to be drawn from all this is that...
h) [+ característica]5) (=comprar) [+ entradas] to get6) (=lanzar) [+ modelo nuevo] to bring out; [+ libro] to bring out, publish; [+ disco] to release; [+ moda] to create7) (=hacer) [+ foto] to take; [+ copia] to make8) (=resolver)9) (=mostrar)10) (=mencionar)12) (=aventajar en)al terminar la carrera le sacaba 10 metros al adversario — he finished the race 10 metres ahead of his rival
13) (=salvar) to get outapuro 1)14) (=poner) [+ apodo, mote] to give15) (Dep)a) (Tenis) to serveb) (Ftbl)saca el balón Kiko — [en saque de banda] the throw-in is taken by Kiko; [en falta] Kiko takes the free kick
16) (Cos) [+ prenda de vestir] (=ensanchar) to let out; (=alargar) to let down17) (Naipes) to play2. VERBO INTRANSITIVO1) (Tenis) to serve2) (Ftbl) [en córner, tiro libre] to take the kick; [en saque de banda] to take the throw-indespués de marcar un gol, saca el contrario — after a goal has been scored, the opposing team kicks off
3.See:* * *1.verbo transitivo1) ( extraer)a) <billetera/lápiz> to take out, get out; <pistola/espada> to drawlo saqué del cajón — I took o got it out of the drawer
b) < muela> to pull out, take out; <riñón/cálculo> to removec) <diamantes/cobre> to extract, minesacar petróleo de debajo del mar — to get oil o (frml) extract petroleum from under the sea
d) <carta/ficha> to draw2) (poner, llevar fuera)a) <maceta/mesa/basura> to take outsacar algo/a alguien DE algo — to get something/somebody out of something
b) ( invitar)c) < parte del cuerpo> to put outme sacó la lengua — he stuck o put his tongue out at me
3) ( retirar) to take outsacar dinero del banco — to take out o withdraw money from the bank
sólo puede sacar tres libros — you can only take out o borrow three books
4) ( de una situación difícil)5) (Esp) < dobladillo> to let down; <pantalón/falda> ( alargar) to let down; ( ensanchar) to let out6) ( obtener)<pasaporte/permiso> to get; < entrada> to get, buyya saqué el pasaje or (Esp) he sacado el billete — I've already bought the ticket o got my ticket
7)a) <calificación/nota> to getb) <votos/puntos> to getc) ( en juegos de azar) < premio> to get, wind) < conclusión> to drawe) <suma/cuenta> to do, work out¿qué sacas con eso? — what do you gain by doing that?
saco $3.000 mensuales — I take home $3,000 a month
el hijo ya le saca 10 centímetros — (fam) his son is already 10 centimeters taller than he is
sacar algo DE algo: sacaron mucho dinero de la venta they made a lot of money from the sale; no ha sacado ningún provecho del curso — she hasn't got anything out of the course
9)sacar algo DE algo — <idea/información> to get something from something; <porciones/unidades> to get something out of something
sacarle algo A alguien — <dinero/información> to get something out of somebody
10) < brillo> to bring out11)a) < libro> to publish, bring out; < disco> to bring out, release; <modelo/producto> to bring outb) < tema> to bring upd) (Esp) <defecto/falta> (+ me/te/le etc) to find12)sacar adelante — < proyecto> ( poner en marcha) to get something off the ground; ( salvar de la crisis) to keep something going
luché tanto para sacar adelante a mis hijos — I fought so hard to give my children a good start in life
13) (Dep) <tiro libre/falta> to take14) ( quitar)(esp AmL)a)sacarle algo A alguien — <botas/gorro> to take something off somebody; <juguetes/plata> (RPl) to take something from somebody
no se lo saques, que es suyo — don't take it (away) from him, it's his
¿cuánto te sacan en impuestos? — how much do they take off in taxes?
b)sacarle algo a algo — <tapa/cubierta> to take something off something
c) ( retirar)15) (esp AmL) ( hacer desaparecer) < mancha> to remove, get... out2.3.sacar de puerta/de esquina — to take the goal kick/to take the corner
sacarse v pron (refl)1) ( extraer)ten cuidado, te vas a sacar un ojo — be careful or you'll poke o take your eye out
me tengo que sacar una muela — (caus) I have to have a tooth out
2) (AmL) ( quitarse) <ropa/zapatos> to take off; < maquillaje> to remove, take offsácate el pelo de la cara — get o take your hair out of your eyes
3)a) (caus) < foto>b) (AmL) <calificación/nota> to get* * *= draw from, pull out, remove, take out, withdraw, draw, pull from, put out, scoop (out), pull off, ferret out, winkle out.Ex. These headings may be drawn from an alphabetical list of subject headings or from a classification scheme.Ex. We go to that record, pull it out, change the item's priority and upgrade it so it gets out to you quickly.Ex. Folders allow a set of papers to be kept together when a set on a given topic is removed from the file.Ex. A borrower may sometimes wish to take out a book which has already been loaned out.Ex. Thus, all cards corresponding to documents covering 'Curricula' are withdrawn from the pack.Ex. The 'Root Thesaurus' presents other refinements which permit the part of the hierarchy from which a term is drawn to be specified.Ex. The data is pulled directly from all the bibliographic data bases on DIALOG that have a JN field.Ex. Naturally people will handle books before they decide to buy them, which means that no more than a couple of copies of each title should be put out so that reserve stock is prevented from getting grubby.Ex. This service will be useful for end users and for scooping out the availability of information on STN for a variety of search topics.Ex. The ionisation in the air pulls off massive, if random charges so the speed of lightning is actually less than that of the speed of light.Ex. As a rule analysts are left on their own to ferret out useful and appropriate areas to be investigated.Ex. Small business operators can be easy prey for scamsters trying to winkle out money for unsolicited - and unneeded - 'services'.----* cría cuervos y te sacarán y los ojos = you've made your bed, now you must lie in it!.* sacando provecho de = on the coattails of.* sacar a Alguien de quicio = get on + Posesivo + nerves, drive + Alguien + up a wall, drive + Alguien + to despair, drive + Alguien + mad, drive + Alguien + insane, drive + Alguien + crazy, drive + Alguien + nuts, drive + Alguien + potty.* sacar acciones al mercado = go + public.* sacar a colación = bring + Nombre + up.* sacar a colación una cuestión = bring up + matter, bring up + issue, bring up + point.* sacar a colación una idea = bring up + idea.* sacar a colación un problema = bring + problem up.* sacar a colación un tema = bring up + topic, bring up + subject.* sacar a concurso = tender for, tender out.* sacar a concurso público = bid, bid + Posesivo + business, tender for, tender out.* sacar a convocatoria pública = tender for, tender out, bid.* sacar a flote = get + Nombre + back on + Posesivo + feet.* sacar a golpes = punch out.* sacar a la luz = bring to + light, dredge up.* sacar Algo a relucir = bring + Nombre + to the surface.* sacar Algo de = take + Nombre + out of.* sacar a licitación = tender for, tender out.* sacar al mercado = bring to + market.* sacar a relucir = bring to + the surface, bring to + light, bring to + the fore.* sacar a relucir diferencias = turn up + differences.* sacar a relucir las mejores cualidades de = bring out + the best in.* sacar a relucir lo peor de = bring out + the worst in.* sacar a relucir los trapos sucios delante de otros = wash + dirty linen in front of others.* sacar a relucir los trapos sucios en público = air + dirty linen in public.* sacar arrastrando = haul out.* sacar brillo = polish.* sacar brillo a = buff, buff up.* sacar conclusiones = draw + implications.* sacar conclusiones generales = generalise [generalize, -USA].* sacar conclusiones precipitadas = jump to + conclusions.* sacar con sifón = siphon out.* sacar con una bomba = pump out.* sacar de = carry out of, wretch from, tilt + Nombre + out of, take from, catapult + Nombre + out of.* sacar de apuros = bail out, bale out.* sacar de contrabando = smuggle out.* sacar de la inactividad = take + Nombre + out of the doldrums.* sacar de las casillas = piss + Nombre + off.* sacar del mismo molde = cast in + the same mould as.* sacar de + Posesivo + casillas = drive + Alguien + (a)round the bend.* sacar de quicio = drive + Alguien + (a)round the bend, exasperate, grind on + Posesivo + nerves, piss + Nombre + off.* sacar dinero = draw + cash, draw out + cash.* sacar el abrebotellas = pull out + the corks.* sacar el máximo partido = exploit + full potential, take + full advantage (of), take + the best advantage.* sacar el máximo partido a = get + the most out of.* sacar el máximo partido a Algo = reach + the full potential of.* sacar el máximo partido de = harness + the power of, make + the best of.* sacar el máximo partido de Algo = make + the most of.* sacar el máximo provecho de = get + the most out of.* sacar el máximo provecho de Algo = make + the most of.* sacar el mayor partido al dinero de uno = get + the most for + Posesivo + money.* sacar el mejor partido de = get + the best out of.* sacar el mejor partido de Algo = make + the best advantage of, make + the best use of, make + the best possible use of.* sacar el mejor partido posible = get + the best of both worlds, get + the best of all worlds.* sacar en préstamo = charge out, check out.* sacar extractos de = excerpt.* sacar faltas = find + fault with.* sacar haciendo palanca = pry + Nombre + out, prise + Nombre + out.* sacar haciendo sifón = siphon out.* sacar ilegalmente = smuggle out.* sacar la basura = take out + the garbage.* sacar las castañas del fuego = sort out + the mess, pick up + the pieces.* sacar las cosas de quicio = blow + things (up) out of (all) proportion.* sacar lecciones de = draw + lessons from.* sacarle defectos a todo = nitpick.* sacarle dinero a Alguien = wrestle + money from.* sacarle faltas a todo = nitpick.* sacarle las castañas del fuego a Alguien = pull + Posesivo + chestnuts out of the fire.* sacarle partido a = make + an opportunity (out) of.* sacarle un bocado a = take + a bite out of.* sacar libro en préstamo = borrow + book.* sacar los pies del plato = break out of + the box.* sacar los pies del tiesto = break out of + the box.* sacar más partido = get + more for + Posesivo + money.* sacar mayor partido a = squeeze + more life out of.* sacar mayor provecho = stretch + further.* sacar mejor partido = get + more for + Posesivo + money.* sacar + Nombre + de = extricate + Nombre + from.* sacar partido = take + advantage (of), exploit + benefits.* sacar partido a una oportunidad = capitalise on + opportunity.* sacar perforando = drill out.* sacar poco a poco = tease out.* sacar por impresora = print + off-line, print out + off-line.* sacar provecho a una oportunidad = capitalise on + opportunity.* sacar provecho de = capitalise on/upon [capitalize, -USA], cash in on, ride (on) + Posesivo + coattails.* sacar punta = sharpen.* sacar rápidamente = whip out.* sacarse los mocos = pick + Posesivo + nose.* sacar tirando = haul out.* sacar una conclusión = draw + conclusion.* sacar una deducción = draw + inference.* sacar una foto = take + a shot.* sacar una fotografía = take + picture.* sacar una impresión = gain + picture.* sacar una prueba = pull + a proof.* sacar unas notazas = pass with + flying colours.* sacar un diez = score + an A.* sacar un ojo = gouge + eye out.* sacar ventaja = gain + one-upmanship.* * *1.verbo transitivo1) ( extraer)a) <billetera/lápiz> to take out, get out; <pistola/espada> to drawlo saqué del cajón — I took o got it out of the drawer
b) < muela> to pull out, take out; <riñón/cálculo> to removec) <diamantes/cobre> to extract, minesacar petróleo de debajo del mar — to get oil o (frml) extract petroleum from under the sea
d) <carta/ficha> to draw2) (poner, llevar fuera)a) <maceta/mesa/basura> to take outsacar algo/a alguien DE algo — to get something/somebody out of something
b) ( invitar)c) < parte del cuerpo> to put outme sacó la lengua — he stuck o put his tongue out at me
3) ( retirar) to take outsacar dinero del banco — to take out o withdraw money from the bank
sólo puede sacar tres libros — you can only take out o borrow three books
4) ( de una situación difícil)5) (Esp) < dobladillo> to let down; <pantalón/falda> ( alargar) to let down; ( ensanchar) to let out6) ( obtener)<pasaporte/permiso> to get; < entrada> to get, buyya saqué el pasaje or (Esp) he sacado el billete — I've already bought the ticket o got my ticket
7)a) <calificación/nota> to getb) <votos/puntos> to getc) ( en juegos de azar) < premio> to get, wind) < conclusión> to drawe) <suma/cuenta> to do, work out¿qué sacas con eso? — what do you gain by doing that?
saco $3.000 mensuales — I take home $3,000 a month
el hijo ya le saca 10 centímetros — (fam) his son is already 10 centimeters taller than he is
sacar algo DE algo: sacaron mucho dinero de la venta they made a lot of money from the sale; no ha sacado ningún provecho del curso — she hasn't got anything out of the course
9)sacar algo DE algo — <idea/información> to get something from something; <porciones/unidades> to get something out of something
sacarle algo A alguien — <dinero/información> to get something out of somebody
10) < brillo> to bring out11)a) < libro> to publish, bring out; < disco> to bring out, release; <modelo/producto> to bring outb) < tema> to bring upd) (Esp) <defecto/falta> (+ me/te/le etc) to find12)sacar adelante — < proyecto> ( poner en marcha) to get something off the ground; ( salvar de la crisis) to keep something going
luché tanto para sacar adelante a mis hijos — I fought so hard to give my children a good start in life
13) (Dep) <tiro libre/falta> to take14) ( quitar)(esp AmL)a)sacarle algo A alguien — <botas/gorro> to take something off somebody; <juguetes/plata> (RPl) to take something from somebody
no se lo saques, que es suyo — don't take it (away) from him, it's his
¿cuánto te sacan en impuestos? — how much do they take off in taxes?
b)sacarle algo a algo — <tapa/cubierta> to take something off something
c) ( retirar)15) (esp AmL) ( hacer desaparecer) < mancha> to remove, get... out2.3.sacar de puerta/de esquina — to take the goal kick/to take the corner
sacarse v pron (refl)1) ( extraer)ten cuidado, te vas a sacar un ojo — be careful or you'll poke o take your eye out
me tengo que sacar una muela — (caus) I have to have a tooth out
2) (AmL) ( quitarse) <ropa/zapatos> to take off; < maquillaje> to remove, take offsácate el pelo de la cara — get o take your hair out of your eyes
3)a) (caus) < foto>b) (AmL) <calificación/nota> to get* * *= draw from, pull out, remove, take out, withdraw, draw, pull from, put out, scoop (out), pull off, ferret out, winkle out.Ex: These headings may be drawn from an alphabetical list of subject headings or from a classification scheme.
Ex: We go to that record, pull it out, change the item's priority and upgrade it so it gets out to you quickly.Ex: Folders allow a set of papers to be kept together when a set on a given topic is removed from the file.Ex: A borrower may sometimes wish to take out a book which has already been loaned out.Ex: Thus, all cards corresponding to documents covering 'Curricula' are withdrawn from the pack.Ex: The 'Root Thesaurus' presents other refinements which permit the part of the hierarchy from which a term is drawn to be specified.Ex: The data is pulled directly from all the bibliographic data bases on DIALOG that have a JN field.Ex: Naturally people will handle books before they decide to buy them, which means that no more than a couple of copies of each title should be put out so that reserve stock is prevented from getting grubby.Ex: This service will be useful for end users and for scooping out the availability of information on STN for a variety of search topics.Ex: The ionisation in the air pulls off massive, if random charges so the speed of lightning is actually less than that of the speed of light.Ex: As a rule analysts are left on their own to ferret out useful and appropriate areas to be investigated.Ex: Small business operators can be easy prey for scamsters trying to winkle out money for unsolicited - and unneeded - 'services'.* cría cuervos y te sacarán y los ojos = you've made your bed, now you must lie in it!.* sacando provecho de = on the coattails of.* sacar a Alguien de quicio = get on + Posesivo + nerves, drive + Alguien + up a wall, drive + Alguien + to despair, drive + Alguien + mad, drive + Alguien + insane, drive + Alguien + crazy, drive + Alguien + nuts, drive + Alguien + potty.* sacar acciones al mercado = go + public.* sacar a colación = bring + Nombre + up.* sacar a colación una cuestión = bring up + matter, bring up + issue, bring up + point.* sacar a colación una idea = bring up + idea.* sacar a colación un problema = bring + problem up.* sacar a colación un tema = bring up + topic, bring up + subject.* sacar a concurso = tender for, tender out.* sacar a concurso público = bid, bid + Posesivo + business, tender for, tender out.* sacar a convocatoria pública = tender for, tender out, bid.* sacar a flote = get + Nombre + back on + Posesivo + feet.* sacar a golpes = punch out.* sacar a la luz = bring to + light, dredge up.* sacar Algo a relucir = bring + Nombre + to the surface.* sacar Algo de = take + Nombre + out of.* sacar a licitación = tender for, tender out.* sacar al mercado = bring to + market.* sacar a relucir = bring to + the surface, bring to + light, bring to + the fore.* sacar a relucir diferencias = turn up + differences.* sacar a relucir las mejores cualidades de = bring out + the best in.* sacar a relucir lo peor de = bring out + the worst in.* sacar a relucir los trapos sucios delante de otros = wash + dirty linen in front of others.* sacar a relucir los trapos sucios en público = air + dirty linen in public.* sacar arrastrando = haul out.* sacar brillo = polish.* sacar brillo a = buff, buff up.* sacar conclusiones = draw + implications.* sacar conclusiones generales = generalise [generalize, -USA].* sacar conclusiones precipitadas = jump to + conclusions.* sacar con sifón = siphon out.* sacar con una bomba = pump out.* sacar de = carry out of, wretch from, tilt + Nombre + out of, take from, catapult + Nombre + out of.* sacar de apuros = bail out, bale out.* sacar de contrabando = smuggle out.* sacar de la inactividad = take + Nombre + out of the doldrums.* sacar de las casillas = piss + Nombre + off.* sacar del mismo molde = cast in + the same mould as.* sacar de + Posesivo + casillas = drive + Alguien + (a)round the bend.* sacar de quicio = drive + Alguien + (a)round the bend, exasperate, grind on + Posesivo + nerves, piss + Nombre + off.* sacar dinero = draw + cash, draw out + cash.* sacar el abrebotellas = pull out + the corks.* sacar el máximo partido = exploit + full potential, take + full advantage (of), take + the best advantage.* sacar el máximo partido a = get + the most out of.* sacar el máximo partido a Algo = reach + the full potential of.* sacar el máximo partido de = harness + the power of, make + the best of.* sacar el máximo partido de Algo = make + the most of.* sacar el máximo provecho de = get + the most out of.* sacar el máximo provecho de Algo = make + the most of.* sacar el mayor partido al dinero de uno = get + the most for + Posesivo + money.* sacar el mejor partido de = get + the best out of.* sacar el mejor partido de Algo = make + the best advantage of, make + the best use of, make + the best possible use of.* sacar el mejor partido posible = get + the best of both worlds, get + the best of all worlds.* sacar en préstamo = charge out, check out.* sacar extractos de = excerpt.* sacar faltas = find + fault with.* sacar haciendo palanca = pry + Nombre + out, prise + Nombre + out.* sacar haciendo sifón = siphon out.* sacar ilegalmente = smuggle out.* sacar la basura = take out + the garbage.* sacar las castañas del fuego = sort out + the mess, pick up + the pieces.* sacar las cosas de quicio = blow + things (up) out of (all) proportion.* sacar lecciones de = draw + lessons from.* sacarle defectos a todo = nitpick.* sacarle dinero a Alguien = wrestle + money from.* sacarle faltas a todo = nitpick.* sacarle las castañas del fuego a Alguien = pull + Posesivo + chestnuts out of the fire.* sacarle partido a = make + an opportunity (out) of.* sacarle un bocado a = take + a bite out of.* sacar libro en préstamo = borrow + book.* sacar los pies del plato = break out of + the box.* sacar los pies del tiesto = break out of + the box.* sacar más partido = get + more for + Posesivo + money.* sacar mayor partido a = squeeze + more life out of.* sacar mayor provecho = stretch + further.* sacar mejor partido = get + more for + Posesivo + money.* sacar + Nombre + de = extricate + Nombre + from.* sacar partido = take + advantage (of), exploit + benefits.* sacar partido a una oportunidad = capitalise on + opportunity.* sacar perforando = drill out.* sacar poco a poco = tease out.* sacar por impresora = print + off-line, print out + off-line.* sacar provecho a una oportunidad = capitalise on + opportunity.* sacar provecho de = capitalise on/upon [capitalize, -USA], cash in on, ride (on) + Posesivo + coattails.* sacar punta = sharpen.* sacar rápidamente = whip out.* sacarse los mocos = pick + Posesivo + nose.* sacar tirando = haul out.* sacar una conclusión = draw + conclusion.* sacar una deducción = draw + inference.* sacar una foto = take + a shot.* sacar una fotografía = take + picture.* sacar una impresión = gain + picture.* sacar una prueba = pull + a proof.* sacar unas notazas = pass with + flying colours.* sacar un diez = score + an A.* sacar un ojo = gouge + eye out.* sacar ventaja = gain + one-upmanship.* * *sacar [A2 ]vt1 ‹cartera/dinero/lápiz› to take out, get out; ‹pistola› to draw, get out; ‹espada› to draw sacar algo DE algo to take sth OUT OF sthlo saqué del cajón I took o got it out of the drawersacar el pollo del horno take the chicken out of the oven, remove the chicken from the oven ( frml)sacaron agua del pozo they drew water from the well2 ‹muela› to pull out, take out; ‹riñón/cálculo› to removeme sacaron sangre para hacer los análisis they took some blood to do the testssaqué la astilla con unas pinzas I got the splinter out with a pair of tweezersdeja que te saque esa espinilla let me squeeze that pimple for youme vas a sacar un ojo con ese paraguas you'll have o poke my eye out with that umbrella!3 ‹diamantes/cobre› to extract, minesacamos petróleo de debajo del mar we get oil o ( frml) extract petroleum from under the sea4 ‹conclusión› to draw¿sacaste algo en limpio de todo eso? did you (manage to) make anything of all that?primero tienes que sacar la raíz cuadrada first you have to find o extract the square rootB (de una situación) sacar a algn DE algo:aquel dinero los sacó de la miseria that money released them from their life of poverty¿quién lo va a sacar de su error? who's going to tell him he's wrong o put him right?me sacó de una situación muy difícil she got me out of a really tight spotpagaron la fianza y la sacaron de la cárcel they put up bail and got her out of prison¿por qué lo sacaron del colegio? why did they take him out of o take him away from the school?C (de una cuenta, un fondo) to take out, get out ( colloq)tengo que sacar dinero del banco/de la otra cuenta I have to get o draw some money out of the bank/draw o take some money out of the other accountsólo puede sacar tres libros you can only take out o borrow three booksD ‹cuenta/suma/ecuación› to do, work out; ‹adivinanza› to work outsaca la cuenta y dime cuánto te debo work it out and tell me how much I owe youE (poner, llevar fuera)1 ‹maceta/mesa› to take outsaca las plantas al balcón put the plants out on the balcony, take the plants out onto the balconysácalo aquí al sol bring it out here into the sunsacaron el sofá por la ventana they got the sofa out through the windowsacar algo DE algo to take o get sth OUT OF sthno puedo sacar el coche del garaje I can't get the car out of the garage2 ‹persona/perro›los saqué a dar una vuelta en coche I took them out for a ride (in the car)lo tuvimos que sacar por la ventana we had to get him out through the windowla sacaron en brazos they carried her outsaca el perro a pasear take the dog out for a walksacar a algn DE algo to get sb OUT OF sth¡socorro! ¡sáquenme de aquí! help! get me out of here!su marido no la saca nunca de casa her husband never takes her outlo sacaron de allí a patadas they kicked him out of there3sacar a algn a bailar to ask sb to dance4 ‹parte del cuerpo›saca (el) pecho stick your chest outme sacó la lengua he stuck o put his tongue out at meno saques la cabeza por la ventanilla don't put your head out of the windowF (poner en juego) ‹carta› to play, put down; ‹pieza/ficha› to bring outG ‹dobladillo› to let down ‹pantalón/falda› (alargar) to let down; (ensanchar) to let outA ‹pasaporte/permiso› to get; ‹entrada› to get, buyya he sacado el pasaje or ( Esp) billete I've already bought the ticket o got my ticket¿sacaste hora para la peluquería? did you make an appointment at the hairdresser's?he sacado número para la consulta de mañana I've made an appointment with the doctor tomorrowsacar una reserva to make a reservation, to book¡qué tipo más buen mozo! ¿de dónde lo habrá sacado? wow, he's good-looking! where do you think she got hold of o found him? ( colloq)B1 sacar algo DE algo ‹idea/información› to get sth FROM sthsaqué los datos del informe oficial I got o took the information from the official report2 sacarle algo A algn ‹dinero/información› to get sth OUT OF sbno le pude sacar ni un peso para la colecta I couldn't get a penny out of him for the collectionle sacaron el nombre de su cómplice they got the name of his accomplice out of him, they extracted the name of his accomplice from hima ver si le sacas quién se lo dijo see if you can find out who told her, try and get out of her who it was who told herC1 ‹calificación/nota› to getsaqué un cinco en química I got five out of ten in chemistry2 ‹votos/puntos› to getel partido sacó tres escaños the party got o won three seats3 (en juegos de azar) ‹premio› to get, wincuando saque la lotería when I win the lotterytiró los dados y sacó un seis she threw the dice and got a sixsaqué la pajita más corta I drew the short straw4 ( Esp) ‹examen/asignatura› to passno creo que saque la física en junio I don't think I'll pass o get through physics in JuneD ‹brillo› to bring outfrotar para sacarle brillo rub to bring out the shine o to make it shineesa caminata le sacó los colores that walk brought the color to her cheeksE ‹beneficio› to getno vas a sacar nada hablándole así you won't get anywhere talking to him like that¿qué sacas con amargarle la vida? what do you gain by making his life a misery?le sacó mucho partido a la situación he took full advantage of the situationcon este trabajito saco (lo suficiente) para mis vicios I earn a little pocket money with this jobsaqué unas £200 en limpio I made a clear £200le sacó diez segundos (de ventaja) a Martínez he took a ten-second lead over Martínezel hijo ya le saca 10 centímetros ( fam); his son is already 10 centimeters taller than he issacar algo DE algo:no ha sacado ningún provecho del cursillo she hasn't got anything out of o ( frml) hasn't derived any benefit from the coursetienes que aprender a sacar partido de estas situaciones you have to learn to take advantage of these situationsno sacaron mucho dinero de la venta they didn't make much money on o out of o from the saleF sacar algo DE algo ‹porciones/unidades› to get sth OUT OF sthde esa masa puedes sacar dos pasteles there's enough pastry there to make o for two pies, you can get two pies out of that amount of pastryG(heredar): ha sacado los ojos verdes de la madre he's got his mother's green eyes, he gets his green eyes from his motherA1 ‹libro› to publish, bring out; ‹película/disco› to bring out, release; ‹modelo/producto› to bring outhan vuelto a sacar la moda de la minifalda the miniskirt is back in fashionsacaron el reportaje en primera plana the report was published o printed o the report appeared on the front page2 ‹tema› to bring up3 ( Esp) ‹defecto/falta› (+ me/te/le etc) to finda todo le tiene que sacar faltas he always has to find fault with everything4 ( Esp) ‹apodo› to giveBsacar adelante: gracias a su empeño sacaron adelante el proyecto thanks to her determination they managed to get the project off the ground/keep the project goingluché tanto para sacar adelante a mis hijos I fought so hard to give my children a good start in lifetengo que sacar adelante la misión que me fue encomendada I have to carry out the mission that has been entrusted to meC1 ‹foto› to take2 ‹copia› to make, take3 ‹apuntes› to make, takeD ( Dep) ‹tiro libre/falta› to takeA ( esp AmL)1 ‹botas/gorro/tapa› sacarle algo A algn/algo to take sth OFF sb/sth¿me sacas las botas? can you pull o take my boots off?tengo que sacarles el polvo a los muebles I have to dust the furniture2(apartar): saca esto de aquí que estorba take this away, it's in the waysaquen los libros de la mesa take the books off the tablemejor sacarlo de en medio ahora we'd better get it out of the way now3 ‹programa› to switch off; ‹disco› to take offB( RPl) ‹pertenencia› sacarle algo a algn to take sth from sbno se lo saques, que es suyo don't take it (away) from him, it's his¿cuánto te sacan en impuestos? how much do they take off in taxes?, how much do you get deducted o ( AmE) withheld in taxes?C ( esp AmL) (hacer desaparecer) ‹mancha› to remove, get … out; ‹dolor› to get rid ofes una idea descabellada, a ver si se la podemos sacar de la cabeza it's a crazy idea, we should try to talk him out of itme sacas un peso de encima you've taken a great weight off my mindtenemos que sacarle esa costumbre we have to break him of that habit■ sacarvi1 (en tenis, vóleibol) to serve2 (en fútbol) to kick offsacó de puerta/de esquina he took the goal kick/cornersaca de banda he takes the throw-in■ sacarse( refl)A(extraer): ten cuidado, te vas a sacar un ojo be careful or you'll poke o take your eye outme tengo que sacar una muela ( caus) I have to have a tooth outsacarse algo DE algo to take sth OUT OF sthsácate las manos de los bolsillos take your hands out of your pocketssácate el dedo de la nariz don't pick your noseB ( esp AmL)1 ‹ropa/zapatos› to take offse sacó el reloj she took off her watch2(apartar, hacer desaparecer): sácate el pelo de la cara get o take your hair out of your eyessacarse el maquillaje to remove o take off one's makeupno me puedo sacar el dolor con nada no matter what I do I can't seem to get rid of the painno pudimos sacárnoslo de encima we just couldn't get rid of himC (Chi, Méx) ‹calificación/nota› to getme saqué un 6 en español I got 6 out of 10 in Spanish* * *
sacar ( conjugate sacar) verbo transitivo
1 ( extraer)
‹pistola/espada› to draw;
sacar algo DE algo to take o get sth out of sth;◊ lo saqué del cajón I took o got it out of the drawer
‹riñón/cálculo› to remove;
2 (poner, llevar fuera)
tuvimos que sacarlo por la ventana we had to get it out through the window;
sacar el perro a pasear to take the dog out for a walk;
sacar el coche del garaje to get the car out of the garageb) ( invitar):
sacar a algn a bailar to ask sb to dance
◊ me sacó la lengua he stuck o put his tongue out at me
3 ( retirar) to take out;◊ sacar dinero del banco to take out o withdraw money from the bank
4 ( de una situación difícil) sacar a algn DE algo ‹de apuro/atolladero› to get sb out of sth
5 (Esp) ‹ dobladillo› to let down;
‹pantalón/falda› ( alargar) to let down;
( ensanchar) to let out
( obtener)
1 ‹pasaporte/permiso› to get;
‹entrada/billete› to get, buy
2
3 ‹ beneficio› to get;
‹ ganancia› to make;◊ ¿qué sacas con eso? what do you gain by doing that?;
no sacó ningún provecho del curso she didn't get anything out of the course
4 sacar algo DE algo ‹idea/información› to get sth from sth;
‹porciones/unidades› to get sth out of sth;
sacarle algo A algn ‹dinero/información› to get sth out of sb
5 ‹ brillo› to bring out;
1
‹ disco› to bring out, release;
‹modelo/producto› to bring out
‹ copia› to make, take;
‹ apuntes› to make, take;
2
( salvar de la crisis) to keep sth going;◊ luché tanto para sacar adelante a mis hijos I fought so hard to give my children a good start in life
3 (Dep) ‹tiro libre/falta› to take
( quitar) (esp AmL)a) sacarle algo A algn ‹botas/gorro› to take sth off sbb) sacarle algo a algo ‹tapa/cubierta› to take sth off sthc) ( retirar):
saquen los libros de la mesa take the books off the table
verbo intransitivo (Dep) (en tenis, vóleibol) to serve;
( en fútbol) to kick off
sacarse verbo pronominal ( refl)
1 ( extraer) ‹astilla/púa› to take … out;
‹ ojo› to poke … out;
sacarse algo DE algo to take sth out of sth;
sácate las manos de los bolsillos take your hands out of your pockets
2 (AmL) ( quitarse) ‹ropa/zapatos› to take off;
‹ maquillaje› to remove, take off
3
sacar
I verbo transitivo
1 (de un sitio) to take out
sacar la cabeza por la ventana, to stick one's head out of the window
sacar dinero del banco, to withdraw money from the bank
2 (un beneficio, etc) to get
3 (extraer una cosa de otra) to extract, get: de la uva se saca vino, you get wine from grapes
4 (una solución) to work out
sacar conclusiones, to draw conclusions
5 (descubrir, resolver) no consigo sacar esta ecuación, I can't resolve this equation
6 (un documento) to get
7 (una entrada, un billete) to buy, get
8 (de una mala situación) sacar a alguien de algo, to get sb out of sthg
sacar de la pobreza, to save from poverty
9 (manifestar, dar a conocer) de repente, sacó su malhumor, he got into a strop all of a sudden
10 (una novedad) han sacado un nuevo modelo de televisor, they've brought out a new television model again
11 (poner en circulación) to bring out, release
12 familiar (producir) esa máquina saca más de 2.500 piezas a la hora, this machine can produce more than 2,500 parts an hour
(una fotografía, una copia) to take
13 familiar (aparecer alguien o algo en un medio de comunicación) lo sacaron por la tele, it was on television
14 familiar (superar a alguien en algo) ha crecido mucho, ya le saca la cabeza a su padre, he's grown a lot o he's already taller than his father
15 (un jugador una carta o una ficha) to draw
16 (una mancha) to get out
17 Cost (de largo) to let down
(de ancho) to let out
II vi Dep (en tenis) to serve
(en fútbol, baloncesto, etc) to kick off
♦ Locuciones: sacar a alguien a bailar, to ask sb to dance
sacar a relucir, to point out
sacar adelante, to keep going
sacar en claro o limpio, to make sense of
sacar la lengua, to stick one's tongue out
sacar pecho, to thrust one's chest out
' sacar' also found in these entries:
Spanish:
achicar
- basura
- bota
- brillo
- cara
- casilla
- chupar
- clara
- claro
- colación
- concurso
- contrarreloj
- descargar
- desorbitar
- destripar
- espaldarazo
- estárter
- exigible
- flote
- fuego
- invertir
- jugo
- liberar
- listada
- listado
- moldear
- noria
- pegote
- penetrar
- provecho
- punta
- quicio
- relucir
- sacacorchos
- sangrar
- subastar
- tajada
- trapo
- varar
- ajustar
- apunte
- billete
- carné
- cuenta
- desengañar
- esquina
- limpio
- luz
- músculo
- nota
English:
assign
- back
- bail out
- bash out
- benefit
- book
- bring out
- capital
- capitalize
- carry
- carry through
- centre
- cheese
- dig out
- dig up
- dislodge
- draw
- draw out
- dredge up
- exercise
- extricate
- find
- float
- from
- get out
- get round to
- gouge out
- jam
- job
- jump
- out
- photograph
- poke out
- polish
- polish up
- produce
- profit
- pull
- pull out
- pump out
- put out
- reel in
- release
- responsible
- run off
- scoop
- scoop out
- score
- serve
- sharpen
* * *♦ vt1. [poner fuera, hacer salir, extraer] to take out;[pistola, navaja, espada] to draw; [naipe, ficha] to play; [carbón, oro, petróleo] to extract;sacar agua de un pozo to draw water from a well;sacó la lengua she stuck her tongue out;¡saca las manos de los bolsillos! take your hands out of your pockets!;sacó la mano/la cabeza por la ventanilla he stuck his hand/head out of the window;habrá que sacar los zapatos a la terraza we'll have to put our shoes out on the balcony;¿de qué carpeta has sacado estos papeles? which folder did you take these papers out of?;¿cómo lo vamos a sacar de ahí? how are we going to get him out of there?;me sacaron de allí/a la calle por la fuerza they threw me out of there/into the street by force;sacar a alguien a bailar to ask sb to dance;sacar a pasear al perro to walk the dog, to take the dog for a walk;nos sacaron algo de comer they gave us something to eat;Ven Famsacar la piedra a alguien to make sb mad2. [quitar] to remove (de from); [manchas] to get out, to remove (de from); [espinas] to get o pull out (de from);el dentista me sacó una muela I had a tooth out at the dentist's;sacarle sangre a alguien to draw blood from sb;RP¿quién me sacó el diccionario? who's taken my dictionary?3. [obtener] [carné, certificado, buenas notas] to get;[entradas, billetes, pasajes] to get, to buy; [datos, información] to get, to obtain; [premio] to win;¿qué sacaste en el examen de inglés? what did you get for o in your English exam?;saqué un ocho I got eight out of ten;sacar dinero del banco to get o take some money out of the bank;¿de dónde has sacado esa idea? where did you get that idea (from)?;lo que sigue está sacado de la Constitución the following is an extract from the Constitution;la sidra se saca de las manzanas cider is made from apples;de esta pizza no sacas más de seis raciones you won't get more than six portions from this pizza;¿y qué sacamos con reñirle? what do we gain by telling him off?, what's the point in telling him off?;¿y yo qué saco? what's in it for me?gracias por sacarme del apuro thanks for getting me out of trouble;5.000 pesos no nos van a sacar de pobres 5.000 pesos isn't exactly enough for us never to have to work again5. [realizar] [foto] to take;[fotocopia] to make; RP [apuntes, notas] to take;siempre me sacan fatal en las fotos I always look terrible in photos;juntaos, que no os saco a todos move closer together, I can't fit you all in the photo like thatno me sacarán nada they won't get anything out of me7. [nuevo producto, modelo, libro] to bring out;[disco] to release;ha sacado un nuevo disco/una nueva novela he has a new record/novel outyo no fui el que sacó el tema it wasn't me who brought the matter up in the first place;sacó su mal humor a relucir he let his bad temper show9. [resolver, encontrar] to do, to work out;[crucigrama] to do, to solve;sacar la cuenta/la solución to work out the total/the answer;sacar la respuesta correcta to get the right answer;siempre está sacando defectos a la gente she's always finding fault with people10. [deducir] to gather, to understand;sacar una conclusión to come to a conclusion;sacar algo en consecuencia de algo to conclude o deduce sth from sth;lo leí tres veces, pero no saqué nada en claro o [m5] limpio I read it three times, but I couldn't make much sense of itmi hijo ya me saca la cabeza my son's already a head taller than me12. [en medios de comunicación] to show;sacaron imágenes en el telediario they showed pictures on the news;sacaron imágenes en el periódico they printed pictures in the newspaper;[de largo] to let down14. Am [camisa, zapatos] to take off;sácale la ropa al niño get the child undressed15. [en deportes] [en tenis, voleibol] to serve;sacar un córner/una falta to take a corner/free kick16.[negocio, proyecto] to make a go of;sacar adelante [hijos] to provide for;sacó sus estudios adelante she successfully completed her studies;no sé cómo vamos a sacar adelante la empresa I don't know how we're going to keep the company going;saca adelante a su familia con un mísero salario he supports his family on a miserable salary♦ vi[en fútbol, baloncesto, hockey] to put the ball into play; [en tenis, voleibol] to serve;sacar de banda/de esquina/de puerta to take a throw-in/corner/goal kick* * *v/t1 take out;sacar de paseo take for a walk;sacar a alguien a bailar ask s.o. to dance2 mancha take out, remove4 fotocopias make;le sacó bien PINT, FOT that’s a good picture of you5 ( conseguir) get;sacar información get information;¿de dónde has sacado el dinero? where did you get the money from?;sacar un buen sueldo make good money6:sacar a alguien de sí drive s.o. mad;sacar algo en claro ( entender) make sense of sth;me saca dos años he is two years older than me* * *sacar {72} vt1) : to pull out, to take outsaca el pollo del congelador: take the chicken out of the freezer2) : to get, to obtainsaqué un 100 en el examen: I got 100 on the exam3) : to get out, to extractle saqué la información: I got the information from him4) : to stick outsacar la lengua: to stick out one's tongue5) : to bring out, to introducesacar un libro: to publish a booksacaron una moda nueva: they introduced a new style6) : to take (photos)7) : to make (copies)sacar vi1) : to kick off (in soccer or football)2) : to serve (in sports)* * *sacar vb2. (conseguir) to get3. (arrancar) to get out8. (producir) to make9. (invitar) to ask10. (en tenis) to serve11. (en fútbol para empezar) to kick off12. (aventajar) to get ahead of -
11 Psychoanalysis
[Psychoanalysis] seeks to prove to the ego that it is not even master in its own house, but must content itself with scanty information of what is going on unconsciously in the mind. (Freud, 1953-1974, Vol. 16, pp. 284-285)Although in the interview the analyst is supposedly a "passive" auditor of the "free association" narration by the subject, in point of fact the analyst does direct the course of the narrative. This by itself does not necessarily impair the evidential worth of the outcome, for even in the most meticulously conducted laboratory experiment the experimenter intervenes to obtain the data he is after. There is nevertheless the difficulty that in the nature of the case the full extent of the analyst's intervention is not a matter that is open to public scrutiny, so that by and large one has only his own testimony as to what transpires in the consulting room. It is perhaps unnecessary to say that this is not a question about the personal integrity of psychoanalytic practitioners. The point is the fundamental one that no matter how firmly we may resolve to make explicit our biases, no human being is aware of all of them, and that objectivity in science is achieved through the criticism of publicly accessible material by a community of independent inquirers.... Moreover, unless data are obtained under carefully standardized circumstances, or under different circumstances whose dependence on known variables is nevertheless established, even an extensive collection of data is an unreliable basis for inference. To be sure, analysts apparently do attempt to institute standard conditions for the conduct of interviews. But there is not much information available on the extent to which the standardization is actually enforced, or whether it relates to more than what may be superficial matters. (E. Nagel, 1959, pp. 49-50)3) No Necessary Incompatibility between Psychoanalysis and Certain Religious Formulationshere would seem to be no necessary incompatibility between psychoanalysis and those religious formulations which locate God within the self. One could, indeed, argue that Freud's Id (and even more Groddeck's It), the impersonal force within which is both the core of oneself and yet not oneself, and from which in illness one become[s] alienated, is a secular formation of the insight which makes religious people believe in an immanent God. (Ryecroft, 1966, p. 22)Freudian analysts emphasized that their theories were constantly verified by their "clinical observations."... It was precisely this fact-that they always fitted, that they were always confirmed-which in the eyes of their admirers constituted the strongest argument in favour of these theories. It began to dawn on me that this apparent strength was in fact their weakness.... It is easy to obtain confirmations or verifications, for nearly every theory-if we look for confirmation. (Popper, 1968, pp. 3435)5) Psychoanalysis Is Not a Science But Rather the Interpretation of a Narrated HistoryPsychoanalysis does not satisfy the standards of the sciences of observation, and the "facts" it deals with are not verifiable by multiple, independent observers.... There are no "facts" nor any observation of "facts" in psychoanalysis but rather the interpretation of a narrated history. (Ricoeur, 1974, p. 186)6) Some of the Qualities of a Scientific Approach Are Possessed by PsychoanalysisIn sum: psychoanalysis is not a science, but it shares some of the qualities associated with a scientific approach-the search for truth, understanding, honesty, openness to the import of the observation and evidence, and a skeptical stance toward authority. (Breger, 1981, p. 50)[Attributes of Psychoanalysis:]1. Psychic Determinism. No item in mental life and in conduct and behavior is "accidental"; it is the outcome of antecedent conditions.2. Much mental activity and behavior is purposive or goal-directed in character.3. Much of mental activity and behavior, and its determinants, is unconscious in character. 4. The early experience of the individual, as a child, is very potent, and tends to be pre-potent over later experience. (Farrell, 1981, p. 25)Our sceptic may be unwise enough... to maintain that, because analytic theory is unscientific on his criterion, it is not worth discussing. This step is unwise, because it presupposes that, if a study is not scientific on his criterion, it is not a rational enterprise... an elementary and egregious mistake. The scientific and the rational are not co-extensive. Scientific work is only one form that rational inquiry can take: there are many others. (Farrell, 1981, p. 46)Psychoanalysts have tended to write as though the term analysis spoke for itself, as if the statement "analysis revealed" or "it was analyzed as" preceding a clinical assertion was sufficient to establish the validity of what was being reported. An outsider might easily get the impression from reading the psychoanalytic literature that some standardized, generally accepted procedure existed for both inference and evidence. Instead, exactly the opposite has been true. Clinical material in the hands of one analyst can lead to totally different "findings" in the hands of another. (Peterfreund, 1986, p. 128)The analytic process-the means by which we arrive at psychoanalytic understanding-has been largely neglected and is poorly understood, and there has been comparatively little interest in the issues of inference and evidence. Indeed, psychoanalysts as a group have not recognized the importance of being bound by scientific constraints. They do not seem to understand that a possibility is only that-a possibility-and that innumerable ways may exist to explain the same data. Psychoanalysts all too often do not seem to distinguish hypotheses from facts, nor do they seem to understand that hypotheses must be tested in some way, that criteria for evidence must exist, and that any given test for any hypothesis must allow for the full range of substantiation/refutation. (Peterfreund, 1986, p. 129)Historical dictionary of quotations in cognitive science > Psychoanalysis
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12 base cognitiva
(n.) = knowledge base [knowledge-base]Ex. An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.* * *(n.) = knowledge base [knowledge-base]Ex: An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.
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13 conocimientos
m.pl.knowledge, background, know-how.* * *(n.) = knowledge base [knowledge-base]Ex. An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.* * *(n.) = knowledge base [knowledge-base]Ex: An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.
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14 proceso de razonamiento
(n.) = reasoning processEx. An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.* * *(n.) = reasoning processEx: An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.
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15 sustituir a
(v.) = substitute for, put in + place of, stand in for, deputise forEx. For the searcher, there is the question of which is the right term to substitute for the one he cannot find in the index.Ex. The 'problem-solving and inference machine' is put in place of today's processor.Ex. The meeting was chaired by Anne Stokes who was standing in for Liz Turner and is taking over as President.Ex. This privilege was reserved for the pharaoh, or the priest who deputised for him, and was considered an initiation into a secret.* * *(v.) = substitute for, put in + place of, stand in for, deputise forEx: For the searcher, there is the question of which is the right term to substitute for the one he cannot find in the index.
Ex: The 'problem-solving and inference machine' is put in place of today's processor.Ex: The meeting was chaired by Anne Stokes who was standing in for Liz Turner and is taking over as President.Ex: This privilege was reserved for the pharaoh, or the priest who deputised for him, and was considered an initiation into a secret. -
16 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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17 аппаратные средоустойчивость решения задач и логических выводов
Engineering: problem-solving and inference machineУниверсальный русско-английский словарь > аппаратные средоустойчивость решения задач и логических выводов
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18 аппаратные средства решения задач и (логических) выводов
Makarov: problem-solving and inference machineУниверсальный русско-английский словарь > аппаратные средства решения задач и (логических) выводов
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19 аппаратные средства решения задач и логических выводов
Engineering: problem-solving and inference machineУниверсальный русско-английский словарь > аппаратные средства решения задач и логических выводов
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20 аппаратный узел решения задач и (логических) выводов
Makarov: problem-solving and inference machineУниверсальный русско-английский словарь > аппаратный узел решения задач и (логических) выводов
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