-
1 basic facts about
Математика: основные сведения о -
2 fog
̈ɪfɔɡ I
1. сущ.
1) туман;
дымка;
мгла;
тж. перен. завеса;
замешательство, затруднение dense, heavy, thick fog ≈ густой туман light fog ≈ легкий туман fog clears, lets up, lifts ≈ туман рассеивается patch of fog ≈ гряда тумана in a fog ≈ как в тумане;
в замешательстве, в затруднении;
сбитый с толку It took several hours for the fog to lift. ≈ Туман рассеялся только через несколько часов. I felt in a fog about what to do. ≈ Я в замешательстве, что делать дальше. The most basic facts about him are lost in a fog of mythology and folklore. ≈ Мифология и фольклор скрывают относящиеся к нему наиболее существенные факты.
2) фото вуаль
2. гл.
1) окутывать туманом;
затуманиваться;
тж. перен. напускать туману, затуманивать;
озадачивать The airport was fogged in. ≈ Аэропорт был окутан туманом. Alcohol fogs his brain. ≈ Алкоголь затуманивает его мозги.
2) фото вуалировать II
1. сущ. отава (трава, выросшая в тот же год на месте скошенной) ;
не скошенная на зиму трава
2. гл.
1) пасти скот на отаве
2) оставлять траву не скошенной на зиму густой туман - ground * стелющийся туман - wet * сырой туман - * patch гряда тумана мгла;
дым или пыль, стоящие в воздухе неясность;
замешательство;
неведение - my mind is in a * у меня в голове туман, я ничего не понимаю - I am in a * я совсем запутался;
я в полной растерянности (фотографическое) потускнение, вуаль, затемнение окутывать, покрывать, покрыть туманом - the steam has *ged my glasses пар затуманил мне очки затуманиваться - my glasses have *ged in a steamy room мои очки запотели в парном помещении озадачивать, приводить в недоумение, замешательство - I'm completely *ged by this French sentence я совершенно запутался в этом французском предложении (фотографическое) покрываться вуалью, быть неясным, туманным отава травостой, оставшийся под зиму - to leave under * оставить нескошенным (о луге и т. п.) (шотландское) мох пасти скот на отаве пастись на отаве (о скоте) оставлять траву нескошенной на зиму (шотландское) зарастать мхом fog густой туман ~ дым или пыль, стоящие в воздухе;
мгла ~ напускать туману, озадачивать ~ окутывать туманом;
затуманивать(ся) ~ оставлять траву нескошенной ~ с.-х. отава ~ пасти скот на отаве ~ с.-х. трава, оставшаяся нескошенной ~ туман ~ фото вуаль in a ~ как в тумане;
в замешательстве, в затруднении -
3 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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4 agree
agree [ə'gri:]∎ to agree that... être d'accord avec le fait que...;∎ we all agree that he's innocent nous sommes tous d'accord pour dire qu'il est innocent, nous sommes tous d'avis qu'il est innocent;∎ everyone agrees that the party was a success tout le monde s'accorde à reconnaître que la fête était un succès;∎ I don't agree that the police should be armed je ne suis pas d'accord pour que la police soit armée∎ to agree to do sth accepter de ou consentir à faire qch∎ they agreed that they had made a mistake ils ont reconnu ou convenu qu'ils avaient fait une faute(d) (reach agreement on) convenir de;∎ to agree a date convenir d'une date;∎ to agree a price se mettre d'accord sur un prix;∎ to agree to do sth se mettre d'accord pour faire qch;∎ they agreed to share the cost ils se sont mis d'accord pour partager les frais;∎ they agreed to take a taxi ils ont décidé d'un commun accord de prendre un taxi;∎ it was agreed to continue the next day il a été convenu que l'on poursuivrait le lendemain;∎ we agreed to differ nous sommes restés chacun sur notre position;∎ it was agreed that the money should be invested il a été convenu que l'argent serait investi;∎ the budget has been agreed le budget a été adopté;∎ as agreed comme convenu;∎ unless otherwise agreed sauf accord contraire(e) (accept, approve → statement, plan) accepter;∎ Accountancy to agree the accounts or the books faire accorder les livres;∎ the figures were agreed between the accountants les chiffres ont été acceptés (d'un commun accord) par les experts-comptables∎ I quite agree je suis tout à fait d'accord (avec vous);∎ don't you agree? n'êtes-vous pas d'accord?;∎ I think it's too expensive and Peter agrees je pense que c'est trop cher et Peter est d'accord avec moi ou est du même avis;∎ to agree about sth être d'accord sur qch;∎ I agree about going on a holiday je suis d'accord pour partir en vacances;∎ I think we agree on or about the basic facts je pense que nous sommes d'accord sur l'essentiel;∎ to agree with sb être d'accord avec ou être du même avis que qn;∎ I agree with you entirely je suis entièrement d'accord avec vous;∎ I agree with you about the decor je suis d'accord avec vous pour ce qui est du décor;∎ they agree with me that it's a disgrace ils trouvent comme moi que c'est une honte;∎ I couldn't agree (with you) more je suis entièrement d'accord avec vous∎ to agree to a proposal donner son adhésion à ou accepter une proposition;∎ to agree to sb's request consentir à la requête de qn;∎ her parents have agreed to her going abroad ses parents ont consenti à ce qu'elle aille ou sont d'accord pour qu'elle aille à l'étranger∎ the doctors couldn't agree about the best treatment les médecins n'arrivaient pas à se mettre d'accord sur le traitement à suivre;∎ to agree on or upon a date convenir d'une date;∎ they agreed on Italy for the honeymoon ils se sont mis d'accord sur l'Italie pour la lune de miel;∎ that was the price we agreed on c'était le prix dont nous avions convenu ou sur lequel nous nous étions mis d'accord(d) (correspond → account, estimate, totals) concorder;∎ your statement doesn't agree with hers ta version ou ta déclaration ne correspond pas à la sienne, vos deux versions ne concordent pas∎ the verb agrees with the subject le verbe s'accorde avec le sujet∎ I don't agree with censorship je suis contre ou je n'admets pas la censure;∎ I don't agree with people smoking in public places je ne suis pas d'accord pour que les gens fument dans les lieux publics∎ the climate here agrees with me le climat d'ici me réussit ou me convient très bien;∎ rich food doesn't agree with me la nourriture riche ne me réussit pas -
5 Computers
The brain has been compared to a digital computer because the neuron, like a switch or valve, either does or does not complete a circuit. But at that point the similarity ends. The switch in the digital computer is constant in its effect, and its effect is large in proportion to the total output of the machine. The effect produced by the neuron varies with its recovery from [the] refractory phase and with its metabolic state. The number of neurons involved in any action runs into millions so that the influence of any one is negligible.... Any cell in the system can be dispensed with.... The brain is an analogical machine, not digital. Analysis of the integrative activities will probably have to be in statistical terms. (Lashley, quoted in Beach, Hebb, Morgan & Nissen, 1960, p. 539)It is essential to realize that a computer is not a mere "number cruncher," or supercalculating arithmetic machine, although this is how computers are commonly regarded by people having no familiarity with artificial intelligence. Computers do not crunch numbers; they manipulate symbols.... Digital computers originally developed with mathematical problems in mind, are in fact general purpose symbol manipulating machines....The terms "computer" and "computation" are themselves unfortunate, in view of their misleading arithmetical connotations. The definition of artificial intelligence previously cited-"the study of intelligence as computation"-does not imply that intelligence is really counting. Intelligence may be defined as the ability creatively to manipulate symbols, or process information, given the requirements of the task in hand. (Boden, 1981, pp. 15, 16-17)The task is to get computers to explain things to themselves, to ask questions about their experiences so as to cause those explanations to be forthcoming, and to be creative in coming up with explanations that have not been previously available. (Schank, 1986, p. 19)In What Computers Can't Do, written in 1969 (2nd edition, 1972), the main objection to AI was the impossibility of using rules to select only those facts about the real world that were relevant in a given situation. The "Introduction" to the paperback edition of the book, published by Harper & Row in 1979, pointed out further that no one had the slightest idea how to represent the common sense understanding possessed even by a four-year-old. (Dreyfus & Dreyfus, 1986, p. 102)A popular myth says that the invention of the computer diminishes our sense of ourselves, because it shows that rational thought is not special to human beings, but can be carried on by a mere machine. It is a short stop from there to the conclusion that intelligence is mechanical, which many people find to be an affront to all that is most precious and singular about their humanness.In fact, the computer, early in its career, was not an instrument of the philistines, but a humanizing influence. It helped to revive an idea that had fallen into disrepute: the idea that the mind is real, that it has an inner structure and a complex organization, and can be understood in scientific terms. For some three decades, until the 1940s, American psychology had lain in the grip of the ice age of behaviorism, which was antimental through and through. During these years, extreme behaviorists banished the study of thought from their agenda. Mind and consciousness, thinking, imagining, planning, solving problems, were dismissed as worthless for anything except speculation. Only the external aspects of behavior, the surface manifestations, were grist for the scientist's mill, because only they could be observed and measured....It is one of the surprising gifts of the computer in the history of ideas that it played a part in giving back to psychology what it had lost, which was nothing less than the mind itself. In particular, there was a revival of interest in how the mind represents the world internally to itself, by means of knowledge structures such as ideas, symbols, images, and inner narratives, all of which had been consigned to the realm of mysticism. (Campbell, 1989, p. 10)[Our artifacts] only have meaning because we give it to them; their intentionality, like that of smoke signals and writing, is essentially borrowed, hence derivative. To put it bluntly: computers themselves don't mean anything by their tokens (any more than books do)-they only mean what we say they do. Genuine understanding, on the other hand, is intentional "in its own right" and not derivatively from something else. (Haugeland, 1981a, pp. 32-33)he debate over the possibility of computer thought will never be won or lost; it will simply cease to be of interest, like the previous debate over man as a clockwork mechanism. (Bolter, 1984, p. 190)t takes us a long time to emotionally digest a new idea. The computer is too big a step, and too recently made, for us to quickly recover our balance and gauge its potential. It's an enormous accelerator, perhaps the greatest one since the plow, twelve thousand years ago. As an intelligence amplifier, it speeds up everything-including itself-and it continually improves because its heart is information or, more plainly, ideas. We can no more calculate its consequences than Babbage could have foreseen antibiotics, the Pill, or space stations.Further, the effects of those ideas are rapidly compounding, because a computer design is itself just a set of ideas. As we get better at manipulating ideas by building ever better computers, we get better at building even better computers-it's an ever-escalating upward spiral. The early nineteenth century, when the computer's story began, is already so far back that it may as well be the Stone Age. (Rawlins, 1997, p. 19)According to weak AI, the principle value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion than before. But according to strong AI the computer is not merely a tool in the study of the mind; rather the appropriately programmed computer really is a mind in the sense that computers given the right programs can be literally said to understand and have other cognitive states. And according to strong AI, because the programmed computer has cognitive states, the programs are not mere tools that enable us to test psychological explanations; rather, the programs are themselves the explanations. (Searle, 1981b, p. 353)What makes people smarter than machines? They certainly are not quicker or more precise. Yet people are far better at perceiving objects in natural scenes and noting their relations, at understanding language and retrieving contextually appropriate information from memory, at making plans and carrying out contextually appropriate actions, and at a wide range of other natural cognitive tasks. People are also far better at learning to do these things more accurately and fluently through processing experience.What is the basis for these differences? One answer, perhaps the classic one we might expect from artificial intelligence, is "software." If we only had the right computer program, the argument goes, we might be able to capture the fluidity and adaptability of human information processing. Certainly this answer is partially correct. There have been great breakthroughs in our understanding of cognition as a result of the development of expressive high-level computer languages and powerful algorithms. However, we do not think that software is the whole story.In our view, people are smarter than today's computers because the brain employs a basic computational architecture that is more suited to deal with a central aspect of the natural information processing tasks that people are so good at.... hese tasks generally require the simultaneous consideration of many pieces of information or constraints. Each constraint may be imperfectly specified and ambiguous, yet each can play a potentially decisive role in determining the outcome of processing. (McClelland, Rumelhart & Hinton, 1986, pp. 3-4)Historical dictionary of quotations in cognitive science > Computers
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6 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, 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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7 give
1. transitive verb,1) (hand over, pass) geben; (transfer from one's authority, custody, or responsibility) überbringen; übergeben (to an + Akk.)she gave him her bag to carry — sie gab ihm ihre Tasche zum Tragen
Give it to me! I'll do it — Gib her! Ich mache das
give somebody something, give something to somebody — jemandem etwas schenken
the book was given [to] me by my son — das Buch hat mir mein Sohn geschenkt
I wouldn't have it if it was given [to] me — ich würde es nicht mal geschenkt nehmen; abs.
give [a donation] to charity — für wohltätige Zwecke spenden
give and take — (fig.) Kompromisse eingehen; (in marriage etc.) geben und nehmen
give somebody something [in exchange] for something — jemandem etwas für etwas [im Tausch] geben
I would give anything or my right arm/a lot to be there — ich würde alles/viel darum geben, wenn ich dort sein könnte
4) (assign) aufgeben [Hausaufgaben, Strafarbeit usw.]; (sentence to) geben [10 Jahre Gefängnis usw.]5) (grant, award) geben [Erlaubnis, Arbeitsplatz, Interview, Rabatt, Fähigkeit, Kraft]; verleihen [Preis, Titel, Orden usw.]he was given the privilege/honour of doing it — ihm wurde das Vorrecht/die Ehre zuteil, es zu tun
give somebody to understand or believe that... — jemanden glauben lassen, dass...
6) (entrust somebody with) übertragen (to Dat.)give somebody the power to do something — jemanden ermächtigen, etwas zu tun
7) (allow somebody to have) geben [Recht, Zeit, Arbeit]; überlassen [seinen Sitzplatz]; lassen [Wahl, Zeit]they gave me [the use of] their car for the weekend — sie überließen mir ihr Auto übers Wochenende
I will give you a day to think it over — ich lasse dir einen Tag Bedenkzeit
give yourself time to think about it — lass dir Zeit, und denk darüber nach
give me London any day or time or every time — (fig. coll.) London ist mir zehnmal lieber
I['ll] give you/him etc. that — (fig. coll.): (grant) das gebe ich zu; zugegeben
you've got to give it to him — (fig. coll.) das muss man ihm lassen
it cost £5, give or take a few pence — es hat so um die fünf Pfund gekostet (ugs.)
given that — (because) da; (if) wenn
given the right tools — mit dem richtigen Werkzeug
given time, I'll do it — wenn ich Zeit habe, mache ich es
8) (offer to somebody) geben, reichen [Arm, Hand usw.]9) (cause somebody/something to have) geben; verleihen [Charme, Reiz, Gewicht, Nachdruck]; bereiten, machen [Freude, Mühe, Kummer]; bereiten, verursachen [Schmerz]; bieten [Abwechslung, Schutz]; leisten [Hilfe]; gewähren [Unterstützung]I was given the guest room — man gab mir das Gästezimmer
give a clear picture — (Telev.) ein gutes Bild haben
give somebody what for — (sl.) es jemandem geben (ugs.)
10) (convey in words, tell, communicate) angeben [Namen, Anschrift, Alter, Grund, Zahl]; nennen [Grund, Einzelheiten, Losungswort]; geben [Rat, Beispiel, Befehl, Anweisung, Antwort]; fällen [Urteil, Entscheidung]; sagen [Meinung]; bekannt geben [Nachricht, Ergebnis]; machen [Andeutung]; erteilen [Verweis, Rüge]; (present, set forth) [Wörterbuch, Brief:] enthalten; [Zeitung:] bringen [Bericht]give details of something — Einzelheiten einer Sache (Gen.) darlegen
give somebody the facts — jemanden mit den Fakten vertraut od. bekannt machen
don't give me that! — (coll.) erzähl mir [doch] nichts! (ugs.)
12) (perform, read, sing, etc.) geben [Vorstellung, Konzert]; halten [Vortrag, Seminar]; vorlesen [Gedicht, Erzählung]; singen [Lied]; spielen [Schauspiel, Oper, Musikstück]give us a song — sing mal was
13) ausbringen [Toast, Trinkspruch]; (as toast)ladies and gentlemen, I give you the Queen — meine Damen, meine Herren, auf die Königin od. das Wohl der Königin
14) (produce) geben [Licht, Milch]; tragen [Früchte]; ergeben [Zahlen, Resultat]; erbringen [Ernte]16) (make somebody undergo) geben; versetzen [Schlag, Stoß]; verabreichen (geh.), geben [Arznei]give somebody a [friendly] look — jemandem einen [freundlichen] Blick zuwerfen
he gave her hand a squeeze — er drückte ihr die Hand
give as good as one gets — (coll.) es jemandem mit gleicher Münze heimzahlen
17) (execute, make, show) geben [Zeichen, Stoß, Tritt]; machen [Satz, Ruck]; ausstoßen [Schrei, Seufzer, Pfiff]give a [little] smile — [schwach] lächeln
give something/somebody a look — sich (Dat.) etwas/jemanden ansehen
be given to something/doing something — zu etwas neigen/etwas gern tun
give all one's got — (coll.) sein möglichstes tun
19) (be host at) geben [Party, Empfang, Essen usw.]20)2. intransitive verb,give somebody/something two months/a year — jemandem/einer Sache zwei Monate/ein Jahr geben
gave, given1) (yield, bend) nachgeben (auch fig.); [Knie:] weich werden; [Bett:] federn; (break down) zusammenbrechen; [Brücke:] einstürzen; (fig.) nachlassen2) (lead)3. noungive on to the street/garden — [Tür usw.:] auf die Straße hinausführen/in den Garten führen
1) Nachgiebigkeit, die; (elasticity) Elastizität, diehave [no] give — [nicht] nachgeben
2)give and take — (compromise) Kompromiss, der; (exchange of concessions) Geben und Nehmen, das
Phrasal Verbs:- academic.ru/31217/give_away">give away- give back- give in- give off- give out- give over- give up- give way* * *(to dismiss (someone) or to be dismissed (usually from a job): He got the boot for always being late.) rausgeschmissen werden* * *[gɪv]<gave, given>1. (in collocations) see birth 1, blood I. 1, call I. 1, chase I. 1, evidence I. 2, kiss2 I. 1, look I. 1, smile I.2. (hand over)to \give sb a cold jdn mit seiner Erkältung ansteckento \give a woman in marriage to sb eine Frau an jdn verheiratenshe gave him two sons sie schenkte ihm zwei Söhne3. (administer)to \give sb a sedative jdm ein Beruhigungsmittel geben4. (as present)this book was given to me by my best friend dieses Buch hat mir meine beste Freundin geschenktplease \give generously wir bitten um großzügige Spendento \give sb a present jdm etwas schenkento \give sb sth as a present jdm etw schenken5. (offer)▪ to \give sb sth jdm etw gebento \give sb food jdm zu essen gebento \give sb one's seat jdm seinen Platz anbietento \give sb something to eat/drink jdm etwas zu essen/trinken anbietenthey gave us pork for dinner zum Abendessen servierten sie Schweinefleisch6. (entrust)to \give one's baby/sth into sb's care jdm sein Baby/etw anvertrauento \give sb the power to do sth jdn dazu bevollmächtigen, etw zu tun7. (sacrifice)I'd \give anything [or the world] [or my right arm] to be... ich würde alles dafür geben [o tun],... zu sein8. (sell, pay)to \give sb sth for £20 jdm etw für 20 Pfund verkaufento \give sb £20 for sth jdm für etw akk 20 Pfund zahlenhow much did you \give for that? wie viel hast du dafür gezahlt?I'll \give you the camera for £100 für 100 Pfund gehört die Kamera dir!9. (cause)▪ to \give sb sth etw bei jdm hervorrufensth \gives sb a headache jd bekommt von etw dat Kopfschmerzen; ( fig) etw bereitet jdm Kopfschmerzento \give sb/sth a bad name jdn/etw in Verruf bringento \give sb to understand that... jdm zu verstehen geben, dass...the fresh air has \given us an appetite die frische Luft hat uns Appetit gemachtthat will \give you something to think about! darüber kannst du ja mal nachdenken!what gave you that idea? wie kommst du denn auf die Idee?; see also joy 1, pleasure 1, pain I. 1, 2, trouble I. 410. (grant)▪ to \give sb sth jdm etw gebento \give sb his/her due jdm Ehre erweisen\give the devil his due Ehre, wem Ehre gebührtto \give sb encouragement jdn ermutigento \give sb permission [to do sth] jdm die Erlaubnis erteilen[, etw zu tun]11. (impart)to \give one's age/name sein Alter/seinen Namen angebento \give a decision court ein Urteil fällento \give sb the news of sth jdm etw mitteilencan you \give me any details? können Sie mir irgendwelche Einzelheiten nennen?she wouldn't \give me her opinion sie wollte mir nicht sagen, was sie denkthe couldn't \give me a reason why... er konnte mir auch nicht sagen, warum...\give him my thanks richten Sie ihm meinen Dank aus\give her my regards [or my best wishes] grüß' sie schön von mir!; see also advice 1, answer I. 1, information I. 1, notice II. 4, warning 212. (assign)to be given full sentence/life imprisonment die Höchststrafe/lebenslang bekommenthe teacher gave us no exercises today der Lehrer hat uns heute nichts aufgegeben\give me the police/sales department/Mr Smith verbinden Sie mich bitte mit der Polizei/der Verkaufsabteilung/Mr. Smith14. (allow)just \give me two more days geben Sie mir noch zwei Tage extraI'll \give you a day to think it over ich lasse dir einen Tag Bedenkzeit\give yourself time to get over it lass' dir Zeit, um darüber hinwegzukommen\give or take mehr oder wenigerhe came at six o'clock, \give or take a few minutes er kam so gegen sechs15. (predict)to \give sb/sth three months/five years marriage, relationship jdm/etw drei Monate/fünf Jahre geben16. (present)to \give a concert ein Konzert gebento \give a speech/lecture eine Rede/einen Vortrag halten\give us a song, John sing uns was vor John!17. (host)to \give a party/reception eine Party/einen Empfang gebento \give a bark bellento \give a cry/groan aufschreien/-stöhnen19. (like best)20. (value)21. (devote)I'll \give you what for, young lady, coming home at 2 o'clock in the morning! ich geb' dir gleich was, junge Dame — um zwei Uhr morgens nach Hause zu kommen!23. (produce)▪ to \give sth result, number etw ergebento \give milk/light Milch/Licht gebento \give warmth Wärme spenden24. (do)to \give sb's hand a squeeze jdm die Hand drückento \give sb a [dirty/friendly] look jdm einen vernichtenden/freundlichen Blick zuwerfento \give a shrug mit den Schultern [o Achseln] zucken25. (admit/grant)she's quite brave, I'll \give you that das gestehe ich dir zu — Mut hat sieI'll \give you that das muss man dir lassen27. (toast)to \give a toast to sb auf jdn einen Tost ausbringenI \give you the president auf den Präsidenten!; (as speaker) das Wort hat der Präsident28.▶ \give me a break! jetzt mach aber mal halblang! fam; (stop) jetzt hör' aber auf! fam; (don't believe) das glaubst du doch selbst nicht! fam<gave, -n>1. (donate)to \give of one's best sein Bestes gebento \give of one's money/time sein Geld/seine Zeit opfernto \give generously großzügig spendento \give and take [gegenseitige] Kompromisse machenyou can't work so hard all the time, something's bound to \give du kannst nicht die ganze Zeit so hart arbeiten, sonst wird das irgendwann mal ganz böse ausgehen! sl4. (be at an end)what \gives? was gibt's Neues?what \gives here? was ist hier so los? fam6. (tell)\give! erzähl' schon! fam7.▶ it is better [or more blessed] to \give than to receive ( prov) Geben ist seliger denn Nehmen prov▶ to \give as good as one gets Gleiches mit Gleichem vergeltenIII. NOUNto [not] have much \give [nicht] sehr nachgeben; (elastic) [nicht] sehr elastisch sein* * *[gɪv] vb: pret gave, ptp given1. TRANSITIVE VERBWhen give is part of a set combination, eg. give evidence, give chase, look up the other word.1) gebenwe were given three exercises she was given a sedative — wir haben drei Übungen bekommen or (as homework) aufbekommen man hat ihr or ihr wurde ein Beruhigungsmittel gegeben
I'd give a lot/the world/anything to know... —
what wouldn't I give to be like you — was würde ich nicht darum geben, so wie du zu sein
he gave everything he had (fig) — er holte das Letzte aus sich heraus
11 o'clock, give or take a few minutes — so gegen 11 Uhr
six foot, give or take a few inches — ungefähr sechs Fuß
2) as present schenken; (= donate) spenden, gebenit was given to me by my uncle, I was given it by my uncle — ich habe es von meinem Onkel bekommen or geschenkt bekommen
he gave me a book as a present — er schenkte mir ein Buch, er machte mir ein Buch zum Geschenk
he gave the impression he didn't care — er machte den Eindruck, als ob es ihm egal wäre
to give sb support —
(God) give me strength to do it — Gott gebe mir die Kraft, es zu tun!
give me strength/patience! — großer Gott! (inf)
to give sb a look/smile — jdn ansehen/anlächeln
to give sb a blow — jdn schlagen, jdm einen Schlag versetzen
to give sb a push/kick — jdm einen Stoß/Tritt geben, jdn stoßen/treten
to give one's hair a brush/wash — sich (dat) die Haare bürsten/waschen
this incident gave him the basic plot of the story — durch dieses Ereignis bekam er die Grundidee für die Handlung der Geschichte
who gave you that idea? — wer hat dich denn auf die Idee gebracht?
that will give you something to think about — da hast du etwas, worüber du nachdenken kannst
I'll give you something to cry about — ich werde schon zusehen, dass du weißt, warum du weinst
give me Shakespeare/Spain (every time)! (inf) —
give me Renoir and Rembrandt, not these surrealist artists — mir sind Renoir und Rembrandt viel lieber als diese Surrealisten
radio has almost given way to television — das Radio ist vom Fernsehen fast verdrängt worden on road
I was expecting him to give way — ich nahm an, er würde mir die Vorfahrt lassen
"give way" — "Vorfahrt (gewähren)"
to give sb pain — jdm wehtun (also fig), jdm Schmerzen bereiten
it gives me great pleasure to... — es ist mir eine große Freude...
to give sb a shock — jdm einen Schock versetzen __diams; to give sb to understand that...
I was given to understand/believe that... — mir wurde zu verstehen gegeben, dass...
5) = punish with erteilenhe gave the child a smack — er gab dem Kind einen Klaps
to give sb five years — jdn zu fünf Jahren verurteilen, jdm fünf Jahre aufbrummen
he was given a thrashing/five years — er hat eine Tracht Prügel/fünf Jahre bekommen
6)= utter
to give a cry/groan/laugh/sigh — aufschreien/-stöhnen/-lachen/-seufzen8) = allow time gebenthey gave me a week to do it — sie gaben or ließen mir eine Woche Zeit, um es zu machen
give yourself time to recover — lassen Sie sich Zeit, um sich zu erholen
it's an improvement, I'll give you that — es ist eine Verbesserung, das gestehe ich (dir) ein
he's a good worker, I'll give him that — eines muss man ihm lassen, er arbeitet gut
9) = report, tell information, details, description, answer, advice geben; one's name, particulars angeben; suggestion machen; (= let sb know by letter, phone etc) decision, opinion, results mitteilenhe wouldn't give me his decision/opinion — er wollte mir seine Entscheidung/Meinung nicht sagen
they interrupted the film to give the football results — sie unterbrachen den Film, um die Fußballergebnisse zu bringen
give him my regards — bestellen Sie ihm (schöne) Grüße, richten Sie ihm (schöne) Grüße von mir aus
to give no/the right answer — nicht/richtig antworten
his letter gave us the latest news —
he forgot to give us the date — er hat vergessen, uns das Datum anzugeben or (verbally also) zu sagen or (by letter, phone etc also) mitzuteilen
10) = hold, perform party, dinner, play geben; speech halten; song singen; toast ausbringen (to sb auf jdn)give us a song —
I give you Mary (as toast) (as speaker) — auf Mary!, auf Marys Wohl! ich gebe Mary das Wort
11)= do
the child gave a little jump of excitement — das Kind machte vor Aufregung einen kleinen Luftsprung12) = devote widmen (to +dat)he has given himself entirely to medicine —
he gave himself/his life to God — er weihte sich/sein Leben Gott
2. INTRANSITIVE VERB1) = give way lit, fig = collapse, yield nachgeben; (strength, health, nerve, voice) versagen; (= break, rope, cable) reißen; (cold weather) nachlassenwhen you're under as much strain as that, something is bound to give (inf) — wenn man unter so viel Druck steht, muss es ja irgendwo aushaken (inf)
3) = give money etc geben, spendenyou have to be prepared to give and take (fig) — man muss zu Kompromissen bereit sein, man muss auch mal zurückstecken können
4)5)= tell US inf
OK, now give! — also, raus mit der Sprache! (inf)3. NOUNNachgiebigkeit f, Elastizität f; (of floor, bed, chair) Federung f4. PHRASAL VERBS* * *give [ɡıv]A sthere is too much give in the rope das Seil ist zu locker (gespannt)2. figa) Elastizität f, Flexibilität fb) Nachgiebigkeit f:there is no give in him er gibt nie nachB v/t prät gave [ɡeıv], pperf given [ˈɡıvn]1. a) geben:give sb the name of William jemandem den Namen William geben;give or take plus/minus;he has given me his cold er hat mich mit seiner Erkältung angestecktb) schenken:c) Blut etc spenden2. geben, reichen:give sb one’s hand jemandem die Hand geben3. einen Brief etc (über)geben4. (als Gegenwert) geben, (be)zahlen:how much did you give for that coat?;5. eine Auskunft, einen Rat etc geben, erteilen:6. sein Wort geben7. widmen:give one’s attention (energies) to sth einer Sache seine Aufmerksamkeit (Kraft) widmenfor für)9. ein Recht, einen Titel, ein Amt etc verleihen, geben, übertragen:give sb a part in a play jemandem eine Rolle in einem Stück geben10. geben, gewähren, zugestehen:give sb a favo(u)r jemandem eine Gunst gewähren;just give me 24 hours geben Sie mir (nur) 24 Stunden (Zeit);give sb until …b) jemandem bis … Bedenkzeit geben;I give you that point in diesem Punkt gebe ich Ihnen recht;give me the good old times! da lobe ich mir die gute alte Zeit!;give me Mozart any time Mozart geht mir über alles;it was not given to him to do it es war ihm nicht gegeben oder vergönnt, es zu tun11. einen Befehl, Auftrag etc geben, erteilen13. einen Preis zuerkennen, zusprechen14. eine Arznei (ein)geben, verabreichen15. jemandem ein Zimmer etc geben, zuteilen, zuweisen16. Grüße etc übermitteln:give him my love bestelle ihm herzliche Grüße von mir17. übergeben, einliefern:give sb into custody jemanden der Polizei übergeben, jemanden verhaften lassen18. jemandem einen Schlag etc geben, versetzen19. jemandem einen Blick zuwerfenb) eine Erklärung etc abgebenc) eine Rede etc halten21. (an)geben, mitteilen, seine Telefonnummer etc angeben:give a reason einen Grund angeben;don’t give me that! das glaubst du doch selbst nicht!;22. ein Lied etc zum Besten geben, vortragen23. ein Konzert etc geben, veranstalten:give a dinner ein Essen geben;give a play ein (Theater)Stück geben oder aufführen24. bereiten, verursachen:give pain Schmerzen bereiten, wehtun;25. (er)geben:give no result ohne Ergebnis bleiben26. geben, hervorbringen:cows give milk Kühe geben Milch;the lamp gives a good light die Lampe gibt gutes Licht27. einen Trinkspruch ausbringen auf (akk):I give you the ladies ich trinke auf das Wohl der Damen28. geben, zuschreiben:I give him 50 years ich schätze ihn auf 50 Jahre29. jemandem zu tun, zu trinken etc geben:I was given to understand that … man gab mir zu verstehen, dass …30. (in Redewendungen meist) geben:give it to him! umg gibs ihm!;give sb what for umg es jemandem geben oder besorgen; (siehe die Verbindungen mit den entsprechenden Substantiven)C v/i1. geben, spenden (to dat):give and take geben und nehmen, einander entgegenkommen, kompromissbereit sein2. nachgeben (auch Preise):the foundations are giving das Fundament senkt sich;the chair gives comfortably der Stuhl federt angenehm;his knees gave under him seine Knie versagten3. what gives? sl was gibts?;what gives with him? sl was ist los mit ihm?4. nachlassen, schwächer werden5. versagen (Nerven etc)6. a) nachgeben, (Boden etc) federnb) sich dehnen (Kleidungsstück)7. sich anpassen (to dat oder an akk)b) gehen (on[to] nach) (Fenster etc)9. US umga) sprechen:come on, give! los, raus mit der Sprache!b) aus sich herausgehen* * *1. transitive verb,1) (hand over, pass) geben; (transfer from one's authority, custody, or responsibility) überbringen; übergeben (to an + Akk.)give me... — (on telephone) geben Sie mir...; verbinden Sie mich mit...
give somebody something, give something to somebody — jemandem etwas schenken
the book was given [to] me by my son — das Buch hat mir mein Sohn geschenkt
I wouldn't have it if it was given [to] me — ich würde es nicht mal geschenkt nehmen; abs.
give [a donation] to charity — für wohltätige Zwecke spenden
give and take — (fig.) Kompromisse eingehen; (in marriage etc.) geben und nehmen
give somebody something [in exchange] for something — jemandem etwas für etwas [im Tausch] geben
I would give anything or my right arm/a lot to be there — ich würde alles/viel darum geben, wenn ich dort sein könnte
4) (assign) aufgeben [Hausaufgaben, Strafarbeit usw.]; (sentence to) geben [10 Jahre Gefängnis usw.]5) (grant, award) geben [Erlaubnis, Arbeitsplatz, Interview, Rabatt, Fähigkeit, Kraft]; verleihen [Preis, Titel, Orden usw.]he was given the privilege/honour of doing it — ihm wurde das Vorrecht/die Ehre zuteil, es zu tun
give somebody to understand or believe that... — jemanden glauben lassen, dass...
6) (entrust somebody with) übertragen (to Dat.)give somebody the power to do something — jemanden ermächtigen, etwas zu tun
7) (allow somebody to have) geben [Recht, Zeit, Arbeit]; überlassen [seinen Sitzplatz]; lassen [Wahl, Zeit]they gave me [the use of] their car for the weekend — sie überließen mir ihr Auto übers Wochenende
give yourself time to think about it — lass dir Zeit, und denk darüber nach
give me London any day or time or every time — (fig. coll.) London ist mir zehnmal lieber
I['ll] give you/him etc. that — (fig. coll.): (grant) das gebe ich zu; zugegeben
you've got to give it to him — (fig. coll.) das muss man ihm lassen
it cost £5, give or take a few pence — es hat so um die fünf Pfund gekostet (ugs.)
given that — (because) da; (if) wenn
given time, I'll do it — wenn ich Zeit habe, mache ich es
8) (offer to somebody) geben, reichen [Arm, Hand usw.]9) (cause somebody/something to have) geben; verleihen [Charme, Reiz, Gewicht, Nachdruck]; bereiten, machen [Freude, Mühe, Kummer]; bereiten, verursachen [Schmerz]; bieten [Abwechslung, Schutz]; leisten [Hilfe]; gewähren [Unterstützung]give a clear picture — (Telev.) ein gutes Bild haben
give somebody what for — (sl.) es jemandem geben (ugs.)
10) (convey in words, tell, communicate) angeben [Namen, Anschrift, Alter, Grund, Zahl]; nennen [Grund, Einzelheiten, Losungswort]; geben [Rat, Beispiel, Befehl, Anweisung, Antwort]; fällen [Urteil, Entscheidung]; sagen [Meinung]; bekannt geben [Nachricht, Ergebnis]; machen [Andeutung]; erteilen [Verweis, Rüge]; (present, set forth) [Wörterbuch, Brief:] enthalten; [Zeitung:] bringen [Bericht]give details of something — Einzelheiten einer Sache (Gen.) darlegen
give somebody the facts — jemanden mit den Fakten vertraut od. bekannt machen
don't give me that! — (coll.) erzähl mir [doch] nichts! (ugs.)
11) given (specified) gegeben12) (perform, read, sing, etc.) geben [Vorstellung, Konzert]; halten [Vortrag, Seminar]; vorlesen [Gedicht, Erzählung]; singen [Lied]; spielen [Schauspiel, Oper, Musikstück]13) ausbringen [Toast, Trinkspruch]; (as toast)ladies and gentlemen, I give you the Queen — meine Damen, meine Herren, auf die Königin od. das Wohl der Königin
14) (produce) geben [Licht, Milch]; tragen [Früchte]; ergeben [Zahlen, Resultat]; erbringen [Ernte]15) (cause to develop) machen16) (make somebody undergo) geben; versetzen [Schlag, Stoß]; verabreichen (geh.), geben [Arznei]give somebody a [friendly] look — jemandem einen [freundlichen] Blick zuwerfen
give as good as one gets — (coll.) es jemandem mit gleicher Münze heimzahlen
17) (execute, make, show) geben [Zeichen, Stoß, Tritt]; machen [Satz, Ruck]; ausstoßen [Schrei, Seufzer, Pfiff]give a [little] smile — [schwach] lächeln
give something/somebody a look — sich (Dat.) etwas/jemanden ansehen
18) (devote, dedicate) widmenbe given to something/doing something — zu etwas neigen/etwas gern tun
give all one's got — (coll.) sein möglichstes tun
19) (be host at) geben [Party, Empfang, Essen usw.]20)2. intransitive verb,give somebody/something two months/a year — jemandem/einer Sache zwei Monate/ein Jahr geben
gave, given1) (yield, bend) nachgeben (auch fig.); [Knie:] weich werden; [Bett:] federn; (break down) zusammenbrechen; [Brücke:] einstürzen; (fig.) nachlassen2) (lead)3. noungive on to the street/garden — [Tür usw.:] auf die Straße hinausführen/in den Garten führen
1) Nachgiebigkeit, die; (elasticity) Elastizität, diehave [no] give — [nicht] nachgeben
2)give and take — (compromise) Kompromiss, der; (exchange of concessions) Geben und Nehmen, das
Phrasal Verbs:- give in- give off- give out- give up- give way* * *(a lecture, etc.) v.abhalten (Lehrstunde, Vorlesung) v. v.(§ p.,p.p.: gave, given)= bereiten v.eingeben v.geben v.(§ p.,pp.: gab, gegeben)hingeben v.verursachen v.widmen v. -
8 Language
Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)[A list of language games, not meant to be exhaustive:]Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling itSolving a problem in practical arithmeticTranslating from one language into anotherLANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)We dissect nature along the lines laid down by our native languages.The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own LanguageThe forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)[It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)23) Language Is Inevitably Influenced by Specific Contexts of Human InteractionLanguage cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)Historical dictionary of quotations in cognitive science > Language
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9 stuff
I
noun1) (material or substance: What is that black oily stuff on the beach?; The doctor gave me some good stuff for removing warts; Show them what stuff you're made of! (= how brave, strong etc you are).) materia; material; sustancia; cosa2) ((unimportant) matter, things, objects etc: We'll have to get rid of all this stuff when we move house.) cosas; chismes, cachivaches, trastos3) (an old word for cloth.) paño, tela; género•- that's the stuff!
II
verb1) (to pack or fill tightly, often hurriedly or untidily: His drawer was stuffed with papers; She stuffed the fridge with food; The children have been stuffing themselves with ice-cream.) atiborrar(se); meter algo de cualquier manera; embutir; atestar2) (to fill (eg a turkey, chicken etc) with stuffing before cooking.) rellenar3) (to fill the skin of (a dead animal or bird) to preserve the appearance it had when alive: They stuffed the golden eagle.) disecar•- stuffing- stuff up
stuff1 n1. algowhat's that stuff on your shirt? ¿qué es eso que tienes en la camisa?2. cosashave you got all your stuff? ¿tienes todas tus cosas?stuff2 vb1. rellenar2. metertr[stʌf]■ what's that stuff on your shirt? ¿qué es eso que tienes en la camisa?■ do you like cauliflower? - no, I can't stand the stuff ¿te gusta la coliflor? - no, no la aguanto■ do you call this stuff lasagne? ¿a esto lo llamas lasaña?■ don't give me all that macho stuff! ¡no me vengas con esos cuentos de macho!1 (fill - container, bag, box) llenar ( with, de); (- cushion, toy, food) rellenar ( with, de); (- hole) tapar■ have you stuffed the turkey? ¿has rellenado el pavo?2 (dead animal) disecar3 (push carelessly, shove) meter, poner4 familiar (beat, thrash) dar una paliza a■ you can stuff your job! ¡métete el trabajo donde te quepa!\SMALLIDIOMATIC EXPRESSION/SMALLthat's the stuff! ¡así es!, ¡así me gusta!to do one's stuff hacer lo suyoto know one's stuff saber de lo que uno está hablandoto stuff one's face hartarse de comida, atiborrarse, ponerse morado,-astuff and nonsense tonterías nombre femenino pluralstuff ['stʌf] vt: rellenar, llenar, atiborrarstuff n1) possessions: cosas fpl2) essence: esencia f3) substance: cosa f, cosas fplsome sticky stuff: una cosa pegajosashe knows her stuff: es expertan.• chismes s.m.pl.• cosa s.f.• cuerpo s.m.• materia s.f.• material s.m.• mejunje s.m.• tela s.f.v.• ahitar v.• atestar v.• atiborrar v.• emborrar v.• empaquetar v.• hartar v.• hartarse v.• henchir v.• hinchar v.• llenar v.• meter sin orden v.• recalcar v.• rellenar v.
I stʌfmass noun1) (colloq)a) (substance, matter)what's this stuff called? — ¿cómo se llama esto or (fam) esta cosa?
this wine is good stuff — este vino es del bueno or está muy bien
what sort of stuff does he write? — ¿qué tipo de cosa(s) escribe?
that's the stuff! — así se hace!, así me gusta!
to do one's stuff: she went out on stage and did her stuff salió al escenario e hizo lo suyo; to know one's stuff — ser* un experto en la materia
b) ( miscellaneous items) cosas fpland stuff like that — y cosas de ésas, y cosas por el estilo
2) (nonsense, excuse) (colloq)surely you don't believe all that stuff he tells you? — tú no te creerás todo lo que te cuenta ¿no?
stuff and nonsense! — (dated) puro cuento! (fam)
3) ( basic element)
II
1)a) ( fill) \<\<quilt/mattress/toy\>\> rellenar; \<\<hole/leak\>\> taparto stuff something WITH something: we stuffed our pockets with apples nos llenamos los bolsillos de manzanas; to stuff oneself/one's face — (colloq) darse* un atracón (fam), ponerse* morado or ciego (Esp fam)
b) ( Culin) rellenarc) ( in taxidermy) disecar*d) (AmE Pol) \<\<ballot box\>\> adulterar2)a) ( thrust)b) ( put) (colloq) poner*c) (esp BrE sl)[stʌf]stuff her! — que se joda! (vulg)
1. N1) * (=substance, material)a) (lit)what's that stuff in the bucket? — ¿qué es eso que hay en el cubo?
"do you want some beetroot?" - "no, I hate the stuff" — -¿quieres remolacha? -no, la detesto
"would you like some wine?" - " no, thanks, I never touch the stuff" — -¿quieres un poco de vino? -no gracias, nunca lo pruebo
have you got any more of that varnish stuff? — ¿tienes más barniz de ese?
do you call this stuff beer? — ¿a esto lo llamas cerveza?
b) (fig)that's the stuff! — ¡muy bien!, ¡así se hace!
where have you put my stuff? — ¿dónde has puesto mis cosas?, ¿dónde has puesto mis bártulos or (Sp) chismes? *
can I put my stuff in your room? — ¿puedo poner mis cosas en tu cuarto?
all that stuff about how he wants to help us — todas esas historias or todo el cuento ese de que quiere ayudarnos
don't give me that stuff! I know what you're been up to! — ¡no me vengas con esas historias or ese cuento! ¡sé lo que pretendes!
stuff and nonsense! — † * ¡tonterías!, ¡puro cuento!
4) *to do one's stuff —
go on, Jim, do your stuff! let's see a goal! — ¡venga Jim! ¡muéstranos lo que vales, mete ese gol!
we'll have to wait for the lawyers to do their stuff — tendremos que esperar a que los abogados hagan su parte
- know one's stuffstrut I, 2.5) *I haven't got time for boyfriends, the cinema and stuff like that or and all that stuff — no tengo tiempo para novios, el cine y rollos por el estilo *
6) (=essence)the (very) stuff of sth: the pleasures and pains that are the stuff of human relationships — las alegrías y las penas que constituyen la esencia de las relaciones humanas
his feats on the tennis court are the stuff of legend — sus proezas en la cancha de tenis son legendarias
7) **8) (Brit)** (=girl, woman) hot 3.9) (Drugs) ** mercancía ** f10) †† (=fabric) género m, tela f2. VT1) (=fill, pack) [+ chicken, peppers, cushion, toy] rellenar ( with con); [+ sack, box, pockets] llenar ( with de); [+ hole, leak] tapar; (in taxidermy) [+ animal] disecar, embalsamarto stuff a ballot box — (US) (Pol) llenar una urna de votos fraudulentos
stuff o.s. (with food) * — atracarse or atiborrarse de comida *, darse un atracón *
2) * (=put)to stuff sth in or into sth — meter algo en algo
can we stuff any more in? — ¿caben más?
- stuff sth down sb's throatI'm sick of having ideology stuffed down my throat — estoy harto de que me metan la ideología a la fuerza *
3) (Brit)** (in exclamations)stuff you! — ¡vete a tomar por culo! (Sp) ***, ¡vete al carajo! (LAm) ***
oh, stuff it! I've had enough for today — ¡a la mierda! ¡por hoy ya vale! **
if you don't like it, you can stuff it — si no te gusta te jodes ***
(you know where) you can stuff that! — ¡ya sabes por dónde te lo puedes meter! **
stuff the government! — ¡que se joda el gobierno! ***
get stuffed! — ¡vete a tomar por culo! (Sp) ***, ¡vete al carajo! (LAm) ***
4) ** (=defeat) dar un palizón a *, machacar *3.VI * (=guzzle) atracarse de comida *, atiborrarse de comida *, darse un atracón *- stuff up* * *
I [stʌf]mass noun1) (colloq)a) (substance, matter)what's this stuff called? — ¿cómo se llama esto or (fam) esta cosa?
this wine is good stuff — este vino es del bueno or está muy bien
what sort of stuff does he write? — ¿qué tipo de cosa(s) escribe?
that's the stuff! — así se hace!, así me gusta!
to do one's stuff: she went out on stage and did her stuff salió al escenario e hizo lo suyo; to know one's stuff — ser* un experto en la materia
b) ( miscellaneous items) cosas fpland stuff like that — y cosas de ésas, y cosas por el estilo
2) (nonsense, excuse) (colloq)surely you don't believe all that stuff he tells you? — tú no te creerás todo lo que te cuenta ¿no?
stuff and nonsense! — (dated) puro cuento! (fam)
3) ( basic element)
II
1)a) ( fill) \<\<quilt/mattress/toy\>\> rellenar; \<\<hole/leak\>\> taparto stuff something WITH something: we stuffed our pockets with apples nos llenamos los bolsillos de manzanas; to stuff oneself/one's face — (colloq) darse* un atracón (fam), ponerse* morado or ciego (Esp fam)
b) ( Culin) rellenarc) ( in taxidermy) disecar*d) (AmE Pol) \<\<ballot box\>\> adulterar2)a) ( thrust)b) ( put) (colloq) poner*c) (esp BrE sl)stuff her! — que se joda! (vulg)
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10 like
I
1.
adjective(the same or similar: They're as like as two peas.) parecido, igual
2. preposition(the same as or similar to; in the same or a similar way as: He climbs like a cat; She is like her mother.) como
3. noun(someone or something which is the same or as good etc as another: You won't see his like / their like again.) cosa igual
4. conjunction((especially American) in the same or a similar way as: No-one does it like he does.) como- likely- likelihood
- liken
- likeness
- likewise
- like-minded
- a likely story!
- as likely as not
- be like someone
- feel like
- he is likely to
- look like
- not likely!
II
verb1) (to be pleased with; to find pleasant or agreeable: I like him very much; I like the way you've decorated this room.) gustar2) (to enjoy: I like gardening.) gustar•- likeable- likable
- liking
- should/would like
- take a liking to
like1 prep como / igual quelike2 vb gustardo you like swimming? ¿te gusta nadar?tr[laɪk]1 (the same as) como■ what's the new boss like? ¿cómo es el nuevo jefe?2 (typical of) propio,-a de3 familiar como1 (such as) como2 formal use semejante, parecido,-a1 familiar (as it were) pues■ so I thought, like, what'll happen next? y yo pensé, pues, ¿qué pasará ahora?1 familiar como1 algo parecido\SMALLIDIOMATIC EXPRESSION/SMALLand the like y cosas así(as) like as not familiar seguramenteto be as like as two peas in a pod ser como dos gotas de agualike enough familiar seguramentelike father, like son de tal palo tal astillathat's more like it! familiar ¡eso está mejor!, ¡así me gusta!to look like somebody parecerse a alguiento look like something parecer algosomething like that algo así, algo por el estiloto be of like mind formal use ser del mismo parecerto feel like tener ganas de————————tr[laɪk]1 (enjoy) gustar■ how do you like Barcelona? ¿te gusta Barcelona?2 (want) querer, gustar■ would you like me to leave? ¿quieres que me vaya?■ how would you like your egg, boiled or fried? ¿cómo quieres el huevo, pasado por agua o frito?1 querer1 gustos nombre masculino plural\SMALLIDIOMATIC EXPRESSION/SMALLto like something better preferir algowhether you like it or not quieras o no (quieras), a la fuerza1) : agradar, gustarle (algo a uno)he likes rice: le gusta el arrozshe doesn't like flowers: a ella no le gustan las floresI like you: me caes bien2) want: querer, desearI'd like a hamburger: quiero una hamburguesahe would like more help: le gustaría tener más ayudalike vi: quererdo as you like: haz lo que quieraslike adj: parecido, semejante, similarlike n1) preference: preferencia f, gusto m2)the like : cosa f parecida, cosas fpl por el estiloI've never seen the like: nunca he visto cosa parecidalike conj1) as if: como sithey looked at me like I was crazy: se me quedaron mirando como si estuviera loca2) as: como, igual queshe doesn't love you like I do: ella no te quiere como yolike prep1) : como, parecido ashe acts like my mother: se comporta como mi madrehe looks like me: se parece a mí2) : propio de, típico dethat's just like her: eso es muy típico de ella3) : comoanimals like cows: animales como vacas4)like this, like that : asído it like that: hazlo asíadj.• parecido, -a adj.• parejo, -a adj.• semejante adj.• vecino, -a adj.adv.• como adv.• del mismo modo adv.n.• semejante s.m.v.• bienquerer v.(§pret: -quis-) fut/c: -querr-•)• gustar v.• querer v.(§pret: quis-) fut/c: querr-•)
I
1. laɪk1) (enjoy, be fond of)I/we like tennis — me/nos gusta el tenis
she likes him, but she doesn't love him — le resulta simpático pero no lo quiere
how do you like my dress? — ¿qué te parece mi vestido?
how would you like an ice-cream? — ¿quieres or (Esp tb) te apetece un helado?
I like it! — ( joke) muy bueno!; ( suggestion) buena idea!
I like that! — (iro) muy bonito! (iró), habráse visto!
do as o what you like — haz lo que quieras or lo que te parezca
to like -ING/to + INF: I like dancing me gusta bailar; she likes to have breakfast before eight le gusta desayunar antes de las ocho; I don't like to mention it, but... no me gusta (tener que) decírtelo pero...; to like somebody to + INF: we like him to write to us every so often — nos gusta que nos escriba de vez en cuando
2) (in requests, wishes) querer*would you like a cup of tea/me to help you? — ¿quieres una taza de té/que te ayude?
I'd like two melons, please — (me da) dos melones, por favor
2.
vi querer*if you like — si quieres, si te parece
II
1) ( something liked)her/his likes and dislikes — sus preferencias or gustos, lo que le gusta y no le gusta
2) (similar thing, person)the like: judges, lawyers and the like jueces, abogados y (otra) gente or (otras) personas por el estilo; I've never seen/heard the like (of this) nunca he visto/oído cosa igual; he doesn't mix with the likes of me/us — (colloq) no se codea con gente como yo/nosotros
III
adjective (dated or frml) parecido, similarpeople of like minds — gente f con ideas afines; pea
IV
1)a) ( similar to) comoshe's very like her mother — se parece mucho or es muy parecida a su madre
try this one - now, that's more like it! — prueba éste - ah, esto ya es otra cosa
come on, stop crying!... that's more like it! — vamos, para de llorar... ahí está! or así me gusta!
what's the food like? — ¿cómo or (fam) qué tal es la comida?
it cost £20, or something like that — costó 20 libras o algo así or o algo por el estilo
b) ( typical of)it's just like you to think of food — típico! or cuándo no! tú pensando en comida!
2) ( indicating manner)like this/that — así
3) (such as, for example) comodon't do anything silly, like running away — no vayas a hacer una tontería, como escaparte por ejemplo
V
conjunction (crit)a) ( as if)she looks like she knows what she's doing — parece que or da la impresión de que sabe lo que hace
b) (as, in same way) como
VI
a) ( likely)as like as not, she won't come — lo más probable es que no venga
b) ( nearly)this film is nothing like as good as the first — esta película no es tan buena como la primera ni mucho menos
I [laɪk]1.ADJ frm (=similar) parecido, semejantesnakes, lizards and like creatures — serpientes fpl, lagartos mpl y criaturas fpl parecidas or semejantes
he was very intolerant towards people not of a like mind — era muy intransigente con las personas que no le daban la razón
- they are as like as two peas2. PREP1) (=similar to) comowhat's he like? — ¿cómo es (él)?
you know what she's like — ya la conoces, ya sabes cómo es
what's Spain like? — ¿cómo es España?
what's the weather like? — ¿qué tiempo hace?
a house like mine — una casa como la mía, una casa parecida a la mía
I found one like it — encontré uno parecido or igual
we heard a noise like someone sneezing — nos pareció oír a alguien estornudar, oímos como un estornudo
•
I never saw anything like it — nunca he visto cosa igual or semejante•
what's he like as a teacher? — ¿qué tal es como profesor?•
to be like sth/sb — parecerse a algo/algn, ser parecido a algo/algnyou're so like your father — (in looks, character) te pareces mucho a tu padre, eres muy parecido a tu padre
•
it was more like a prison than a house — se parecía más a una cárcel que a una casawhy can't you be more like your sister? — ¿por qué no aprendes de tu hermana?
that's more like it! * — ¡así está mejor!, ¡así me gusta!
•
there's nothing like real silk — no hay nada como la seda natural•
something like that — algo así, algo por el estiloI was thinking of giving her something like a doll — pensaba en regalarle algo así como una muñeca, pensaba en regalarle una muñeca o algo por el estilo
they earn something like £50,000 a year — ganan alrededor de 50.000 libras al año
feel 2., 3), look 2., 4), smell 3., 1), sound I, 3., 2), a), taste 3.•
people like that can't be trusted — esa clase or ese tipo de gente no es de fiar2) (=typical of)isn't it just like him! — ¡no cambia!, ¡eso es típico de él!
(it's) just like you to grab the last cake! — ¡qué típico que tomes or (Sp) cojas tú el último pastelito!
3) (=similarly to) comolike me, he is fond of Brahms — igual que a mí, le gusta Brahms
•
just like anybody else — igual que cualquier otroit wasn't like that — no fue así, no ocurrió así
anything, crazy 1., 1), hell 1., 2), mad 1., 1), b)he got up and left, just like that — se levantó y se marchó, así, sin más
4) (=such as) comothe basic necessities of life, like food and drink — las necesidades básicas de la vida, como la comida y la bebida
3. ADV1) (=comparable)•
on company advice, well, orders, more like — siguiendo los consejos de la empresa, bueno, más bien sus órdenes•
it's nothing like as hot as it was yesterday — no hace tanto calor como ayer, ni mucho menos£500 will be nothing like enough — 500 libras no serán suficientes, ni mucho menos
2) (=likely)•
(as) like as not, they'll be down the pub (as) like as not — lo más probable es que estén en el bar4. CONJ*1) (=as) como- tell it like it is2) (=as if) como si5.Nwe shall not see his like again — frm, liter no volveremos a ver otro igual
•
the exchange was done on a like- for-like basis — el intercambio se hizo basándose en dos cosas parecidas•
did you ever see the like (of it)? — ¿has visto cosa igual?sparrows, starlings and the like or and such like — gorriones, estorninos y otras aves por el estilo
•
to compare like with like — comparar dos cosas semejantes
II [laɪk]1. VT1) (=find pleasant)I like dancing/football — me gusta bailar/el fútbol
which do you like best? — ¿cuál es el que más te gusta?
I like him — me cae bien or simpático
I don't like him at all — me resulta antipático, no me cae nada bien
I've come to like him — le he llegado a tomar or (Sp) coger cariño
don't you like me just a little bit? — ¿no me quieres un poquitín?
you know he likes you very much — sabes que te tiene mucho cariño or que te quiere mucho
•
I don't like the look of him — no me gusta su aspecto, no me gusta la pinta que tiene *•
I like your nerve! * — ¡qué frescura!, ¡qué cara tienes!•
well, I like that! * — iro ¡será posible!, ¡habráse visto!•
she is well liked here — aquí se la quiere mucho2) (=feel about)how do you like Cadiz? — ¿qué te parece Cádiz?
how do you like it here? — ¿qué te parece este sitio?
how would you like to go to the cinema? — ¿te apetece or (LAm) se te antoja ir al cine?
how would you like it if somebody did the same to you? — ¿cómo te sentirías si alguien te hiciera lo mismo?
how do you like that! I've been here five years and he doesn't know my name — ¡qué te parece!, llevo cinco años trabajando aquí y no sabe ni cómo me llamo
3) (=have a preference for)I like to know the facts before I form opinions — me gusta conocer los hechos antes de formarme una opinión
4) (=want)I didn't like to say no — no quise decir que no; (because embarrassed) me dio vergüenza decir que no
•
take as much as you like — toma or coge todo lo que quierashe thinks he can do as he likes — cree que puede hacer lo que quiera, cree que puede hacer lo que le de la gana *
•
whether he likes it or not — le guste o no (le guste), quiera o no (quiera)•
whenever you like — cuando quieras5)a) (specific request, offer, desire)would you like a drink? — ¿quieres tomar algo?
would you like me to wait? — ¿quiere que espere?
I'd or I would or frm I should like an explanation — quisiera una explicación, me gustaría que me dieran una explicación
I'd like to take this opportunity to thank you all — quisiera aprovechar esta oportunidad para darles las gracias a todos
I'd like the roast chicken, please — (me trae) el pollo asado, por favor
I'd like three pounds of tomatoes, please — (me da) tres libras de tomates, por favor
b) (wishes, preferences)I should like to have been there, I should have liked to be there — frm me hubiera gustado estar allí
2.VI querer•
as you like — como quieras•
"shall we go now?" - "if you like" — -¿nos vamos ya? -si quieres3.Nlikes gustos mplLIKEhe has distinct likes and dislikes where food is concerned — con respecto a la comida tiene claras preferencias or sabe muy bien lo que le gusta y lo que no (le gusta)
Verb
"Gustar" better avoided ► While gustar is one of the main ways of translating like, its use is not always appropriate. Used to refer to people, it may imply sexual attraction. Instead, use expressions like caer bien or parecer/ resultar simpático/ agradable. These expressions work like gustar and need an indirect object:
I like Francis very much Francis me cae muy bien or me parece muy simpático or agradable
She likes me, but that's all (A ella) le caigo bien, pero nada más
Like + verb ► Translate to like doing sth and to like to do sth using gustar + ((infinitive)):
Doctors don't like having to go out to visit patients at night A los médicos no les gusta tener que salir a visitar pacientes por la noche
My brother likes to rest after lunch A mi hermano le gusta descansar después de comer ► Translate to like sb doing sth and to like sb to do sth using gustar + que + ((subjunctive)):
My wife likes me to do the shopping A mi mujer le gusta que haga la compra
I don't like Irene living so far away No me gusta que Irene viva tan lejos
"How do you like...?" ► Use qué + parecer to translate how do/ did you like when asking someone's opinion:
How do you like this coat? ¿Qué te parece este abrigo?
How did you like the concert? ¿Qué te ha parecido el concierto? ► But use cómo + gustar when using how do you like more literally:
How do you like your steak? ¿Cómo le gusta la carne?
Would like ► When translating would like, use querer with requests and offers and gustar to talk about preferences and wishes:
Would you like a glass of water? ¿Quiere un vaso de agua?
What would you like me to do about the tickets? ¿Qué quieres que haga respecto a los billetes?
I'd very much like to go to Spain this summer Me gustaría mucho ir a España este verano Literal translations of I'd like are better avoided when making requests in shops and restaurants. Use expressions like the following:
I'd like steak and chips ¿Me pone un filete con patatas fritas?, (Yo) quiero un filete con patatas fritas For further uses and examples, see main entry* * *
I
1. [laɪk]1) (enjoy, be fond of)I/we like tennis — me/nos gusta el tenis
she likes him, but she doesn't love him — le resulta simpático pero no lo quiere
how do you like my dress? — ¿qué te parece mi vestido?
how would you like an ice-cream? — ¿quieres or (Esp tb) te apetece un helado?
I like it! — ( joke) muy bueno!; ( suggestion) buena idea!
I like that! — (iro) muy bonito! (iró), habráse visto!
do as o what you like — haz lo que quieras or lo que te parezca
to like -ING/to + INF: I like dancing me gusta bailar; she likes to have breakfast before eight le gusta desayunar antes de las ocho; I don't like to mention it, but... no me gusta (tener que) decírtelo pero...; to like somebody to + INF: we like him to write to us every so often — nos gusta que nos escriba de vez en cuando
2) (in requests, wishes) querer*would you like a cup of tea/me to help you? — ¿quieres una taza de té/que te ayude?
I'd like two melons, please — (me da) dos melones, por favor
2.
vi querer*if you like — si quieres, si te parece
II
1) ( something liked)her/his likes and dislikes — sus preferencias or gustos, lo que le gusta y no le gusta
2) (similar thing, person)the like: judges, lawyers and the like jueces, abogados y (otra) gente or (otras) personas por el estilo; I've never seen/heard the like (of this) nunca he visto/oído cosa igual; he doesn't mix with the likes of me/us — (colloq) no se codea con gente como yo/nosotros
III
adjective (dated or frml) parecido, similarpeople of like minds — gente f con ideas afines; pea
IV
1)a) ( similar to) comoshe's very like her mother — se parece mucho or es muy parecida a su madre
try this one - now, that's more like it! — prueba éste - ah, esto ya es otra cosa
come on, stop crying!... that's more like it! — vamos, para de llorar... ahí está! or así me gusta!
what's the food like? — ¿cómo or (fam) qué tal es la comida?
it cost £20, or something like that — costó 20 libras o algo así or o algo por el estilo
b) ( typical of)it's just like you to think of food — típico! or cuándo no! tú pensando en comida!
2) ( indicating manner)like this/that — así
3) (such as, for example) comodon't do anything silly, like running away — no vayas a hacer una tontería, como escaparte por ejemplo
V
conjunction (crit)a) ( as if)she looks like she knows what she's doing — parece que or da la impresión de que sabe lo que hace
b) (as, in same way) como
VI
a) ( likely)as like as not, she won't come — lo más probable es que no venga
b) ( nearly) -
11 knowledge
1) (familiarity) Kenntnisse (of in + Dat.)knowledge of human nature — Menschenkenntnis, die
2) (awareness) Wissen, dashave no knowledge of something — nichts von etwas wissen; keine Kenntnis von etwas haben (geh.)
she had no knowledge of it — sie wusste nichts davon; sie war völlig ahnungslos
[not] to my etc. knowledge — meines usw. Wissens [nicht]
3) (understanding)[a] knowledge of languages/French — Sprach-/Französischkenntnisse Pl.
somebody with [a] knowledge of computers — jemand, der sich mit Computern auskennt
* * *['noli‹]1) (the fact of knowing: She was greatly encouraged by the knowledge that she had won first prize in the competition.) das Wissen2) (information or what is known: He had a vast amount of knowledge about boats.) die Kenntnis3) (the whole of what can be learned or found out: Science is a branch of knowledge about which I am rather ignorant.) die Wissenschaft•- academic.ru/41141/knowledgeable">knowledgeable- general knowledge* * *knowl·edge[ˈnɒlɪʤ, AM ˈnɑ:l-]n no plshe has a good working \knowledge of Apple software sie besitzt nützliche, praktische Fähigkeiten im Umgang mit Apple Software\knowledge of French Französischkenntnisse pllimited \knowledge begrenztes Wissento have [no/some] \knowledge of sth [keine/gewisse] Kenntnisse über etw akk besitzento have a thorough \knowledge of sth ein fundiertes Wissen in etw dat besitzenI have absolutely no \knowledge about his private life ich weiß nicht das Geringste über sein Privatlebento my \knowledge soweit ich weiß, meines Wissens gehto be common \knowledge allgemein bekannt seinto deny all \knowledge [of sth] jegliche Kenntnis [über etw akk] abstreitento be safe in the \knowledge that... mit Bestimmtheit wissen, dass...it has been brought to our \knowledge that... wir haben davon Kenntnis erhalten, dass...carnal \knowledge Geschlechtsverkehr mto have carnal \knowledge of sb mit jdm Geschlechtsverkehr haben form* * *['nɒlɪdZ]n1) (= understanding, awareness) Wissen nt, Kenntnis fto have knowledge of — Kenntnis haben or besitzen von, wissen von
to have no knowledge of — keine Kenntnis haben von, nichts wissen von
not to my knowledge — nicht, dass ich wüsste
without the knowledge of her mother — ohne Wissen ihrer Mutter, ohne dass ihre Mutter es weiß
it has come to my knowledge that... — ich habe erfahren, dass...
safe in the knowledge that... — in der Gewissheit, dass...
2) (= learning, facts learned) Kenntnisse pl, Wissen ntmy knowledge of D.H. Lawrence — was ich von D. H. Lawrence kenne
I have a thorough knowledge of this subject — auf diesem Gebiet weiß ich gründlich Bescheid or besitze ich umfassende Kenntnisse
the police have no knowledge of him/his activities — die Polizei weiß nichts über ihn/seine Aktivitäten
* * *1. Kenntnis f:the knowledge of the victory die Kunde vom Sieg;bring sth to sb’s knowledge jemandem etwas zur Kenntnis bringen, jemanden von etwas in Kenntnis setzen;it has come to my knowledge es ist mir zur Kenntnis gelangt, ich habe erfahren ( beide:that dass);have knowledge of Kenntnis haben von;(not) to my knowledge meines Wissens (nicht);to the best of one’s knowledge and belief JUR nach bestem Wissen und Gewissen;my knowledge of Mr X meine Bekanntschaft mit Mr. X;with the full knowledge of mit vollem Wissen von (od gen);without my knowledge ohne mein Wissen;of, in in dat):basic knowledge Grundwissen, -kenntnisse;knowledge of the law Rechtskenntnisse;have a good knowledge of viel verstehen von, sich gut auskennen in (dat), gute Kenntnisse haben in (dat);* * *noun, no pl.1) (familiarity) Kenntnisse (of in + Dat.)knowledge of human nature — Menschenkenntnis, die
2) (awareness) Wissen, dashave no knowledge of something — nichts von etwas wissen; keine Kenntnis von etwas haben (geh.)
she had no knowledge of it — sie wusste nichts davon; sie war völlig ahnungslos
[not] to my etc. knowledge — meines usw. Wissens [nicht]
[a] knowledge of languages/French — Sprach-/Französischkenntnisse Pl.
somebody with [a] knowledge of computers — jemand, der sich mit Computern auskennt
* * *n.Erkenntnis f.Kenntnis -se f.Wissen n. -
12 understanding
adjective ((of a person) good at knowing how other people feel; sympathetic: an understanding person; Try to be more understanding!) comprensivounderstanding1 adj comprensivo1. comprensiónmy understanding is that... tengo entendido que...2. acuerdotr[ʌndə'stændɪŋ]1 (intelligence) entendimiento, inteligencia2 (grasp) comprensión nombre femenino3 (agreement) acuerdo4 (condition) condición nombre femenino■ I'll lend you the money on the understanding that you pay me back as soon as possible te dejaré el dinero a condición de que me lo devuelvas lo antes posible5 (interpretation) interpretación nombre femenino1 comprensivo,-aunderstanding [.ʌndər'stændɪŋ] adj: comprensivo, compasivo1) grasp: comprensión f, entendimiento m2) sympathy: comprensión f (mutua)3) interpretation: interpretación fit's my understanding that...: tengo la impresión de que..., tengo entendido que...4) agreement: acuerdo m, arreglo madj.• compasivo, -a adj.• comprensivo, -a adj.• entendedor adj.• inteligente adj.n.• acuerdo s.m.• comprensión s.f.• conocimiento s.m.• entender s.m.• entendimiento s.m.
I 'ʌndər'stændɪŋ, ˌʌndə'stændɪŋ1) ua) ( grasp) entendimiento mwe now have a better o greater understanding of it — ahora lo entendemos or lo comprendemos mejor
b) ( interpretation) interpretación fc) ( sympathy) comprensión fthese exchanges promote international understanding — estos intercambios fomentan el entendimiento or la concordia entre las naciones
2) c (agreement, arrangement) acuerdo mto come to o reach an understanding (with somebody) — llegar* a un acuerdo (con alguien)
to have an understanding (with somebody): we had an understanding that we'd share the work — habíamos convenido que compartiríamos el trabajo
3) u ( belief)it was my understanding that I would get the job — tenía entendido or creía que me darían el trabajo
on the understanding that — bien entendido que, con la condición de que
II
adjective comprensivo[ˌʌndǝ'stændɪŋ]1.ADJ [person] comprensivo; [smile] de comprensión•
to be understanding about sth — ser comprensivo (respecto a algo)2. N1) (=faculty) entendimiento mthe peace that passeth all understanding — (Bible) la paz que sobrepasa a todo entendimiento
2) [of sth] (=comprehension) comprensión f ; (=awareness) conciencia fwe need to test children's understanding of facts — hay que poner a prueba la comprensión que los niños tienen de los hechos
our understanding of these processes is still poor — todavía no comprendemos muy bien estos procesos
•
a basic understanding of computers is essential — se necesitan unos conocimientos básicos de informática•
to have a better or greater understanding of sth — (=comprehend better) entender or comprender mejor algo; (=be more aware of) tener mayor or más conciencia de algo•
to have little/no understanding of sth — saber muy poco/nada de algo•
a shift in public understanding of the issues of crime and punishment — un cambio de la conciencia pública con respecto a la cuestión de los crímenes y los castigos3) (=interpretation) interpretación fwhat's your understanding of the Prime Minister's statement? — ¿cómo interpreta usted la declaración del Primer Ministro?, ¿cuál es su interpretación de la declaración del Primer Ministro?
that's my understanding of the situation — esa es mi interpretación de la situación, así es como veo or interpreto la situación
4) (=sympathy) comprensión fto show no/little understanding of sth — no mostrar comprensión/mostrar muy poca comprensión hacia algo
5) (=belief)it was my understanding that..., my understanding was that... — tenía entendido que..., según yo creía...
6) (=agreement) acuerdo m•
to come to an understanding (with sb) — llegar a un acuerdo (con algn)•
to have an understanding (with sb) — tener un acuerdo (con algn)•
on the understanding that — a condición de que + subjun•
to reach an understanding (with sb) — llegar a un acuerdo (con algn)* * *
I ['ʌndər'stændɪŋ, ˌʌndə'stændɪŋ]1) ua) ( grasp) entendimiento mwe now have a better o greater understanding of it — ahora lo entendemos or lo comprendemos mejor
b) ( interpretation) interpretación fc) ( sympathy) comprensión fthese exchanges promote international understanding — estos intercambios fomentan el entendimiento or la concordia entre las naciones
2) c (agreement, arrangement) acuerdo mto come to o reach an understanding (with somebody) — llegar* a un acuerdo (con alguien)
to have an understanding (with somebody): we had an understanding that we'd share the work — habíamos convenido que compartiríamos el trabajo
3) u ( belief)it was my understanding that I would get the job — tenía entendido or creía que me darían el trabajo
on the understanding that — bien entendido que, con la condición de que
II
adjective comprensivo -
13 need
need [ni:d](a) (as basic requirement) avoir besoin de;∎ have you got everything you need? est-ce que tu as tout ce qu'il te faut?;∎ she needs rest elle a besoin de repos ou de se reposer;∎ I need more money/time j'ai besoin de plus d'argent/de temps;∎ you take the car, I won't be needing it this evening prends la voiture, je n'en aurai pas besoin ce soir;∎ he likes to feel needed il aime se sentir indispensable;∎ a lot of money is needed if we are to save the company il va falloir beaucoup d'argent pour empêcher l'entreprise de couler;∎ you only need to ask vous n'avez qu'à demander;∎ you don't need me to tell you that vous devez le savoir mieux que moi;∎ the carpet needs cleaning la moquette a besoin d'être nettoyée;∎ these facts need no (further) comment ces faits se passent de commentaire;∎ it needs a great deal of skill to do it properly il faut beaucoup d'habileté pour le faire correctement∎ I need a drink/a shower j'ai besoin de boire quelque chose/de prendre une douche;∎ what he needs is a good hiding ce qu'il lui faut, c'est une bonne correction;∎ this soup needs more salt cette soupe manque de sel;∎ it's just what I need c'est exactement ce qu'il me faut;∎ ironic that's all we need! il ne nous manquait plus que ça!;∎ the last thing we need is someone like him snooping about the place la dernière chose qu'il nous faut c'est bien que quelqu'un comme lui vienne fouiner par ici;∎ who needs money anyway? de toute façon, l'argent n'a aucune importance;∎ your hair needs combing vos cheveux ont besoin d'un coup de peigne;∎ I gave the car a much-needed wash j'ai lavé la voiture, elle en avait bien besoin;∎ liquid nitrogen needs careful handling or to be handled with care l'azote liquide demande à être manié avec précaution;∎ there are still a few points that need to be made il reste encore quelques questions à soulever∎ to need to do sth avoir besoin de ou être obligé de faire qch;∎ I need to be home by ten il faut que je sois rentré ou je dois être rentré pour dix heures;∎ you need to try harder tu vas devoir faire ou il va falloir que tu fasses un effort supplémentaire;∎ he didn't need to be told twice il ne se l'est pas fait dire deux fois;∎ I'll help you - you don't need to je vais t'aider - tu n'es pas obligéⓘ GRAM La forme modale de need est la même à toutes les personnes, et s'utilise sans do/does. ( he need only worry about himself; need she go?; it needn't matter.) you needn't come if you don't want to vous n'avez pas besoin de ou vous n'êtes pas obligé de venir si vous n'en avez pas envie;∎ you needn't wait il est inutile que vous attendiez, inutile (pour vous) d'attendre;∎ I needn't tell you how important it is je n'ai pas besoin de vous dire ou vous savez à quel point c'est important;∎ I needn't have bothered je me suis donné bien du mal pour rien, ce n'était pas la peine que je me donne autant de mal;∎ the accident need never have happened cet accident aurait pu être évité;∎ I need hardly tell you how grateful I am il n'est pas besoin de vous dire combien je vous suis reconnaissant;∎ no-one else need ever know ça reste entre nous;∎ need I say more? ai-je besoin d'en dire davantage ou plus?;∎ need that be the case? est-ce nécessairement ou forcément le cas?;∎ adults only need apply les adultes seuls peuvent postuler3 noun(a) (necessity) besoin m;∎ I have no need of your sympathy je n'ai que faire de votre sympathie;∎ I feel the need of some fresh air or to get some fresh air j'ai besoin d'air;∎ phone me if you feel the need for a chat appelle-moi si tu as besoin de parler;∎ there's no need to adopt that tone inutile d'employer ce ton;∎ there's no need to hurry rien ne presse, inutile de se presser;∎ there's no need to panic or for any panic inutile de paniquer;∎ I'll help with the dishes - no need, I've done them already je vais vous aider à faire la vaisselle - inutile, c'est terminé;∎ to be in need of sth, to have need of sth avoir besoin de qch;∎ I'm in need of help j'ai besoin d'aide ou qu'on m'aide;∎ Eleanor is in urgent need of cash Eleanor a un besoin urgent d'argent;∎ the ceiling is in need of repair le plafond a besoin d'être réparé;∎ should the need arise si cela s'avérait nécessaire, si le besoin s'en faisait sentir;∎ humorous your need is greater than mine vous en avez plus besoin que moi(b) (requirement) besoin m;∎ their needs can be easily satisfied leurs besoins sont faciles à satisfaire;∎ he saw to her every need il subvenait à ses moindres besoins;∎ that will meet my needs cela fera mon affaire;∎ £1,000 should be enough for our immediate needs 1000 livres devraient suffire pour répondre à nos besoins immédiats;∎ Marketing needs and wants besoins mpl et désirs mpl∎ to be in need être dans le besoin;∎ in my hour of need au moment où j'en ai eu besoin∎ proverb needs must when the devil drives nécessité fait loi;∎ familiar needs must il le faut□, c'est indispensable□ ;∎ if needs must, I'll go s'il le faut absolument ou si c'est indispensable, j'iraisi besoin est, le cas échéant►► Marketing needs analysis analyse f des besoins;Marketing needs assessment estimation f des besoins;Marketing need identification identification f des besoins;Marketing need level niveau m des besoins;Marketing need market marché m des besoins;Marketing need recognition reconnaissance f des besoins;Marketing need set ensemble m de besoins;Marketing needs study étude f des besoins;British Administration needs test examen m des conditions de vie (pour bénéficier d'une aide de l'État);Marketing needs and wants exploration exploration f des besoins et des désirs
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