-
1 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
-
2 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
-
3 lurk
intransitive verb1) lauern; [Raubtier:] auf Lauer liegen2) (fig.)lurk in somebody's or at the back of somebody's mind — [Zweifel, Verdacht, Furcht:] an jemandem nagen
* * *[lə:k](to wait in hiding especially with a dishonest or criminal purpose: She saw someone lurking in the shadows.) lauern* * *[lɜ:k, AM lɜ:rk]* * *[lɜːk]vilauerna nasty suspicion lurked at the back of his mind — er hegte einen fürchterlichen Verdacht
the fears which still lurk in the unconscious — Ängste, die noch im Unterbewusstsein lauern
a doubt/the thought still lurked in his mind — ein Zweifel/der Gedanke plagte ihn noch
* * *A v/i1. sich versteckt halten, auf der Lauer liegen, lauern (auch fig):lurk for sb jemandem auflauern2. figa) verborgen liegen, schlummernb) (heimlich) drohen3. schleichen:B s Aus sl Trick m, Masche f* * *intransitive verb1) lauern; [Raubtier:] auf Lauer liegen2) (fig.)lurk in somebody's or at the back of somebody's mind — [Zweifel, Verdacht, Furcht:] an jemandem nagen
* * *v.lauern v. -
4 deep
I [diːp] adj1) глубокий, густой, полныйThe snow is not deep enough to ski. — Для катания на лыжах еще мало снега.
The river was deep enough for big ships. — Река была достаточно глубока для больших пароходов.
The water looked terribly deep. — Вода казалась страшно глубокой.
He lead me deep into the wood. — Он завел меня в глубь леса.
- so deep- ankle deep
- shoulder deep
- well 10 foot deep
- deep river
- deep sea
- deep night- deep snow- deep sleep
- deep voice
- deep sound
- deep wound
- deep silence
- deep colour
- deep feelings
- deep eyes
- deep bow
- deep dive
- deep shelf
- deep forest
- deep border
- deep blue
- deep groan
- deep shadows
- deep breath
- deep gloom - deep interest
- deep sympathy
- deep thoughts
- deep drinking
- deep enemies
- deep disgrace
- deep sin
- deep wrongs
- deep mystery
- deep theoretician
- deep mind
- deep insight
- deep arguments
- deep politician
- deep plans
- deep layer of snow
- deep in the mountains
- deep in the water
- lanes deep in snow
- house deep in the valley
- deep in his mind
- deep in financial troubles
- deep in love
- my deep regret
- with his hands deep in his pockets
- be deep in debt
- make a deep impression
- make a deep study of the problem
- dig deep- stare with deep admiration- play a deep game
- deeper causes of social unrest2) погружённый, поглощённыйWe found her deep in study. — Мы застали ее ушедшей с головой в занятия.
Between the devil and the deep sea. — ◊ Из огня, да в полымя. /Между двух огней. /Между молотом и наковальней.
Deep will call to deep. — ◊ Рыбак рыбака видит издалека. /Свой своему поневоле брат.
- be deep in thoughtStill waters run deep. — ◊ В тихом омуте черти водятся.
- be deep in an argument•USAGE:Русские предложеные сочетания с существительными в длину, в высоту, в ширину, в глубину в английском языке соответствуют сочетаниям с прилагательными deep, high, long, wide, которые стоят после количественно определяемого существительного: five metres deep пять метров в глубину; two miles long длиной в две мили/две мили в длину; twenty feet high высотой двадцать футовII [diːp] advDon't go in too deep. — Не заходи в воду слишком глубоко
- dig deep -
5 lurk
lə:k(to wait in hiding especially with a dishonest or criminal purpose: She saw someone lurking in the shadows.) esconderselurk vb acechar / estar escondidotr[lɜːk]1 (wait) estar al acecho2 (hide) esconderselurk ['lərk] vi: estar al acechon.• escondite s.m.v.• acechar v.• esconder v.• estar oculto v.• moverse furtivamente v.lɜːrk, lɜːka) \<\<thief\>\> merodear, acecharto lurk around o about — merodear
b) ( be hidden)[lɜːk]VI [person] (=lie in wait) estar al acecho, merodear; (=hide) estar escondidoI saw him lurking around the building — lo vi merodeando or al acecho por el edificio
* * *[lɜːrk, lɜːk]a) \<\<thief\>\> merodear, acecharto lurk around o about — merodear
b) ( be hidden) -
6 shape
ʃeɪp
1. сущ.
1) а) форма, очертание б) картина, вид;
образ to give shape to ≈ придавать форму( чему-л.) to assume, take a shape ≈ принимать форму to take the shape of ≈ принимать форму( чего-л.) to take the shape of a human being ≈ принимать облик человека in no shape or form Syn: form
2) определенная, необходимая форма;
порядок to take shape ≈ принять определенную форму, воплотиться Our plans are beginning to take shape. ≈ Наши планы начинают воплощаться в жизнь. get into shape put into shape
3) а) призрак Syn: phantom, apparition б) видимость, маска Syn: guise
4) а) разг. положение, состояние in bad shape ≈ в плохом состоянии б) спортивная форма (физическое состояние организма) to be in good (bad) shape ≈ быть в хорошей (плохой) спортивной форме to keep oneself in shape ≈ сохранять хорошую форму
5) а) модель, образец, шаблон б) форма (для торта, желе и т. п.)
6) фигура( особ. женская) Syn: figure
1.
2. гл.
1) создавать, делать( из чего-л.) The children enjoyed shaping the snow into figures of people and animals. ≈ Детям нравится лепить из снега фигуры людей и животных. Syn: form
2., create
2) а) придавать форму, формировать;
делать по какому-л. образцу Syn: mould б) продумывать, планировать Syn: devise
2., plan
2.
3) а) придавать четкую форму;
приводить в порядок I don't know how best to shape these ideas into an article. ≈ Я не знаю, как лучше изложить эти идеи в статье. б) уст. устанавливать, предписывать Syn: ordain, decree
2.
4) принимать форму, вид;
получаться Syn: happen, befall
5) подгонять, приспосабливать (to) The dress was shaped to her figure. ≈ Платье подогнали по ее фигуре. The educational system should be shaped to the needs of the children. ≈ Система образования должна отвечать потребностям детей. ∙ shape up форма, очертание - round * круглая форма - rectangular in * прямоугольной формы - in the * of a horseshoe в виде подковы - of triangular * треугольной формы - to give smth. a different * придать чему-л. другую /иную/ форму - to have the * of smth. иметь форму чего-л. - to have no * быть бесформенным - to be out of * иметь искаженную форму, быть несимметричным - the strange * of a cloud странные очертания облака - the car was crushed out of * автомобиль был изуродован в аварии - the cloud took the * of a strange bird облако по своим очертаниям стало похоже на странную птицу определенная форма;
порядок - to put /to get, to lick, to beat, to knock) smth. into * приводить что-л. в порядок, придавать чему-л. определенный /сносный, приемлемый/ вид - to put one's ideas into * привести мысли в систему - you may read your paper when you get it into * ты сможешь сделать доклад, когда приведешь его в надлежащий вид - to take * принимать определенную форму, становиться более определенным /четким/;
воплощаться - when his ideas took * когда его идеи получили четкую форму, когда сформировались его идеи - suspicion began to take * in my mind у меня зародилось подозрение - the plan was taking * план уже начал складываться /вырисовываться/ - his ideas took * in action его идеи воплотились /претворились/ в дела - to settle into * установиться - things soon settled into * вскоре все пришло в порядок /в норму/ вид, образ, облик - a monster in human * чудовище в образе человека /в человеческом облике/ - an angel in the of a woman воплощенный ангел( о женщине) - to take /to assume/ the * of smb., smth. принять вид кого-л., чего-л. - to be of as many *s as Proteus уметь перевоплощаться как Протей вид, форма - a reward in the * of $100 вознаграждение в виде /в форме/ ста долларов - he expressed his gratitude in the * of a present его благодарность выразилась в подарке - in no * (or form) никоим образом, ни под каким видом, ни в коем случае;
ни в каком виде - I cannot help him in any * or form я ничем /никак/ не могу ему помочь - in any * (or form) в любом виде - help in any * (or form) will be welcome мы будем рады любой помощи призрак - strange *s appeared from the shadows из темноты появились какие-то странные призраки /тени/ - a * loomed through the mist в тумане виднелись неясные очертания какой-то фигуры (разговорное) состояние, положение - in good * в хорошем состоянии /положении/ - his affairs are in (a) bad * у него плохи дела - the roads were in better * than I could have hoped for дороги были в лучшем состоянии, чем я думал - the lawn is in bad * газон сильно запущен - my patient is in bad * состояние моего пациента тяжелое - he's in excellent * for his age для своих лет он прекрасно сохранился - the market is in good * (биржевое) настроение рынка устойчивое - business seems to be in bad * (биржевое) деловая активность, видимо, снижается спортивная форма - to be in good * быть в хорошей спортивной форме - you must keep yourself in * ты должен сохранить хорошую форму - exercises to keep in * упражнения для сохранения формы фигура (особ. женская) ;
формы - she's ugly but she's got a great * она некрасива, но у нее великолепные формы образец;
модель болванка( для моделирования шляп) формочка (для пудинга, желе) (математика) шейп > to travel on one's * жить мошенничеством > show your *s! (сленг) ну-ка, покажись! придавать форму;
делать по какому-л. образцу - to * into a ball придавать форму шара делать, создавать (из чего-л.) - to * a vase out of clay вылепить вазу из глины - to * a figure out of wood вырезать фигуру из дерева - to * a song сложить песню - to * a legend into a song сложить песню по легенде придавать четкую форму;
приводить в порядок - to * a plan разработать план - to * an answer сформулировать ответ - to * one's ideas приводить мысли в систему - to * one's rough notes into a book развернуть черновые заметки в книгу - to * one's course наметить линию поведения;
устанавливать курс - I have *d my course я наметил себе линию поведения - to * the course (морское) прокладывать курс( корабля) ;
брать курс принимать форму, вид;
выходить, получаться - to * well принимать хороший оборот;
складываться удачно - the way things are shaping оборот, который принимают дела - plans were shaping themselves into a systematic programme планы превращались в четкую программу формироваться - the boy is shaping quickly мальчик быстро формируется (to) приспосабливать - to * a hat to one's head подбирать шляпу по размеру - you must * your plans to your abilities ты должен строить планы в соответствии со своими способностями /возможностями/ - the dress was *d to her figure платье сидело на ней как влитое > to * a coat for the moon заниматься прожектерством ~ разг. состояние, положение;
in bad shape в плохом состоянии;
to be in good (bad) shape быть в хорошей (плохой) спортивной форме character ~ вчт. форма символа ~ определенная, необходимая форма;
порядок;
to get one's ideas into shape привести в порядок свои мысли ~ разг. состояние, положение;
in bad shape в плохом состоянии;
to be in good (bad) shape быть в хорошей (плохой) спортивной форме in no ~ or form ни в каком виде in no ~ or form никоим образом ~ форма, очертание;
вид;
образ;
in the shape (of smth.) в форме (чего-л.) to keep oneself in ~ сохранять хорошую форму to put into ~ приводить в порядок;
to take shape принять определенную форму, воплотиться to put into ~ придавать форму a reward in the ~ of a sum of money награда в виде суммы денег;
spherical in shape сферический по форме shape уст. кроить ~ образец, модель, шаблон ~ определенная, необходимая форма;
порядок;
to get one's ideas into shape привести в порядок свои мысли ~ придавать форму, формировать;
делать по (какому-л.) образцу;
to shape into a ball придавать форму шара;
to shape one's course устанавливать курс;
брать курс ~ придавать форму ~ призрак ~ принимать форму, вид;
получаться;
to shape well складываться удачно ~ приспосабливать (to) ~ создавать, делать (из чего-л.) ~ разг. состояние, положение;
in bad shape в плохом состоянии;
to be in good (bad) shape быть в хорошей (плохой) спортивной форме ~ фигура ~ форма (для торта, желе и т. п.) ~ форма, очертание;
вид;
образ;
in the shape (of smth.) в форме (чего-л.) ~ форма ~ придавать форму, формировать;
делать по (какому-л.) образцу;
to shape into a ball придавать форму шара;
to shape one's course устанавливать курс;
брать курс ~ придавать форму, формировать;
делать по (какому-л.) образцу;
to shape into a ball придавать форму шара;
to shape one's course устанавливать курс;
брать курс ~ принимать форму, вид;
получаться;
to shape well складываться удачно a reward in the ~ of a sum of money награда в виде суммы денег;
spherical in shape сферический по форме to put into ~ приводить в порядок;
to take shape принять определенную форму, воплотиться -
7 shape
1. [ʃeıp] n1. форма, очертаниеround [oblong, rectangular, oval, irregular] shape - круглая [продолговатая, прямоугольная, овальная, неправильная] форма
rectangular [oval] in shape - прямоугольной [овальной] формы
in the shape of a horseshoe [of a pear] - в виде подковы [грушевидной формы]
of triangular [of oval] shape - треугольной [овальной] формы
to give smth. a different shape - придать чему-л. другую /иную/ форму
to have the shape of smth. - иметь форму чего-л.
to be out of shape - иметь искажённую форму, быть несимметричным
the cloud took the shape of a strange bird - облако по своим очертаниям стало похоже на странную птицу
2. определённая форма; порядокto put /to get, to lick, to beat, to knock/ smth. into shape - приводить что-л. в порядок, придавать чему-л. определённый /сносный, приемлемый/ вид
you may read your paper when you get it into shape - ты сможешь сделать доклад, когда приведёшь его в надлежащий вид
to take shape - а) принимать определённую форму, становиться более определённым /чётким/; when his ideas took shape - когда его идеи получили чёткую форму, когда сформировались его идеи; suspicion began to take shape in my mind - у меня зародилось подозрение; the plan was taking shape - план уже начал складываться /вырисовываться/; б) воплощаться; his ideas [his intentions] took shape in action - его идеи [его намерения] воплотились /претворились/ в дела
things soon settled into shape - вскоре всё пришло в порядок /в норму/
3. 1) вид, образ, обликa monster [a devil] in human shape - чудовище [дьявол] в образе человека /в человеческом облике/
to take /to assume/ the shape of smb., smth. - принять вид кого-л., чего-л.
to be of as many shapes as Proteus - уметь перевоплощаться, как Протей
2) вид, формаa reward in the shape of £100 - вознаграждение в виде /в форме/ ста фунтов
he expressed his gratitude in the shape of a present - его благодарность выразилась в подарке
in no shape (or form) - никоим образом, ни под каким видом, ни в коем случае; ни в каком виде
I cannot help him in any shape or form - я ничем /никак/ не могу ему помочь
4. призракstrange shapes appeared from the shadows - из темноты появились какие-то странные призраки /тени/
a shape loomed through the mist - в тумане виднелись неясные очертания какой-то фигуры
5. 1) разг. состояние, положениеin good [in fair, in bad] shape - в хорошем [в приличном, в плохом] состоянии /положении/ [ср. тж. 2)]
the roads were in better shape than I could have hoped for - дороги были в лучшем состоянии, чем я думал
he's in excellent shape for his age - для своих лет он прекрасно сохранился
the market is in good shape - бирж. настроение рынка устойчивое
business seems to be in bad shape - бирж. деловая активность, видимо, снижается
2) спортивная формаto be in good [in bad] shape - быть в хорошей [в плохой] спортивной форме [ср. тж. 1)]
6. фигура (особ. женская); формыshe's ugly but she's got a great shape - она некрасива, но у неё великолепные формы
7. 1) образец; модель2) болванка ( для моделирования шляп)3) формочка (для пудинга, желе)8. мат. шейп♢
to travel on one's shape - жить мошенничеством2. [ʃeıp] vshow your shapes! - сл. ну-ка, покажись!
1. 1) придавать форму; делать по какому-л. образцуto shape into a ball [into a cube] - придавать форму шара [куба]
2) делать, создавать (из чего-л.)to shape a song [a poem] - сложить песню [стихотворение]
2. придавать чёткую форму; приводить в порядокto shape an answer [a statement] - сформулировать ответ [заявление]
to shape one's rough notes into a book - развернуть черновые заметки в книгу
to shape one's course - а) наметить линию поведения; I have shaped my course - я наметил себе линию поведения; б) устанавливать курс; брать курс; to shape the course - мор. прокладывать курс ( корабля); брать курс
3. 1) принимать форму, вид; выходить, получатьсяto shape well [badly] - принимать хороший [плохой] оборот; складываться удачно [неудачно]
the way things [events] are shaping - оборот, который принимают дела [события]
plans were shaping themselves into a systematic programme - планы превращались в чёткую программу
2) формироватьсяthe boy [the girl] is shaping quickly - мальчик [девочка] быстро формируется
4. (to) приспосабливатьto shape a hat [shoes] to one's head [feet] - подбирать шляпу [обувь] по размеру
you must shape your plans to your abilities - ты должен строить планы в соответствии со своими способностями /возможностями/
♢
to shape a coat for the moon - ≅ заниматься прожектёрством -
8 long
∎ how long is the pool? quelle est la longueur de la piscine?, la piscine fait combien de long?;∎ the pool's 33 metres long la piscine fait 33 mètres de long;∎ the article is 80 pages long l'article fait 80 pages;∎ is it a long way (away)? est-ce loin (d'ici)?;∎ it's a long way to the beach la plage est loin;∎ she can throw a long way elle lance loin;∎ to take the long way round prendre le chemin le plus long;∎ the best by a long way de loin le meilleur;∎ long in the leg aux longues jambes;∎ a long face un visage allongé;∎ figurative to have or pull a long face faire la tête, faire une tête de six pieds de long;∎ why the long face? pourquoi est-ce que tu fais cette tête de six pieds de long?(b) (in time → pause, speech, separation) long (longue);∎ how long will the flight be/was the meeting? combien de temps durera le vol/a duré la réunion?;∎ the film is three hours long le film dure trois heures;∎ her five-year-long battle with the authorities sa lutte de cinq années contre les autorités;∎ to have a long memory avoir une bonne mémoire;∎ to have a long talk with sb parler longuement avec qn;∎ to get longer (days, intervals) devenir plus long;∎ they want longer holidays ils veulent des vacances plus longues;∎ she took a long swig of beer elle a bu une grande gorgée de bière;∎ they took a long look at the view ils restèrent longtemps à regarder la vue qui s'offrait à eux;∎ it was a long two months ces deux mois ont été longs;∎ I've had a long day j'ai eu une journée bien remplie;∎ in the long term à long terme;∎ it will take a long time cela prendra longtemps, ce sera long;∎ a long time ago il y a (bien) longtemps;∎ it's a long time since I was (last) in Paris ça fait longtemps que je ne suis pas allé à Paris;∎ I've been wanting to go for a long time ça fait longtemps que j'ai envie d'y aller;∎ I've known her (for) a long time or while je la connais depuis longtemps, cela fait longtemps que je la connais;∎ it was a long haul (journey) le voyage a été long; (task, recovery) c'était un travail de longue haleine;∎ at long last! enfin!∎ they're long on copper, they've taken a long position on copper ils ont investi dans le cuivre∎ that serve was long ce service était trop long∎ she's long on good ideas elle n'est pas à court de bonnes idées, ce ne sont pas les bonnes idées qui lui manquent;∎ his speeches are long on rhetoric but short on substance ce n'est pas la rhétorique qui manque dans ses discours, c'est la substance2 noun∎ the long and the short of it is that I got fired enfin bref, j'ai été viré;∎ that's the long and the short of it! un point c'est tout!3 adverb(a) (a long time) longtemps;∎ they live longer than humans ils vivent plus longtemps que les êtres humains;∎ he won't keep you long/much longer il ne vous gardera pas longtemps/beaucoup plus longtemps;∎ I haven't been here long ça ne fait pas longtemps que je suis là;∎ they haven't been married long ça ne fait pas longtemps qu'ils sont mariés, ils ne sont pas mariés depuis longtemps;∎ how long will he be/was he in jail? (pendant) combien de temps restera-t-il/est-il resté en prison?;∎ how long has he been in jail? ça fait combien de temps qu'il est en prison?, depuis combien de temps est-il en prison?;∎ how long is it since we last visited them? quand sommes-nous allés les voir pour la dernière fois?;∎ it happened long ago/not long ago cela s'est passé il y a longtemps/il n'y a pas longtemps;∎ as long ago as 1937 déjà en 1937;∎ long before you were born bien avant que tu sois né;∎ not long before/after their divorce peu avant/après leur divorce;∎ the decision had been taken long before la décision avait été prise depuis longtemps;∎ long after or afterwards, when these events were mostly forgotten... bien après, alors que ces évènements étaient presque complètement oubliés...;∎ colleagues long since promoted des collègues promus depuis longtemps;∎ a law which had come into force not long since une loi qui était entrée en vigueur depuis peu;∎ to look at sb/sth long and hard fixer qn/qch longuement;∎ figurative to look at sth long and hard se pencher longuement sur qch;∎ I've thought long and hard about this j'y ai longuement réfléchi;∎ we talked long into the night nous avons parlé jusque tard dans la nuit(b) (with "be", "take")∎ will you be long? tu en as pour longtemps?;∎ I won't be long je n'en ai pas pour longtemps;∎ please wait, she won't be long attendez, s'il vous plaît, elle ne va pas tarder;∎ are you going to be much longer? tu en as encore pour longtemps?;∎ how much longer will he be? (when will he be ready?) il en a encore pour longtemps?; (when will he arrive?) dans combien de temps sera-t-il là?;∎ don't be or take too long fais vite;∎ it wasn't long before he realized, it didn't take long for him to realize il n'a pas mis longtemps à s'en rendre compte, il s'en est vite rendu compte;∎ he wasn't long in coming il n'a pas tardé à venir;∎ he took or it took him so long to make up his mind... il a mis si longtemps à se décider..., il lui a fallu tellement de temps pour se décider...;∎ how long does it take to get there? combien de temps faut-il pour y aller?;∎ this won't take long ça va être vite fait;∎ this won't take longer than five minutes ça sera fait en moins de cinq minutes(c) (in wishes, toasts)∎ long may our partnership continue! à notre collaboration!;∎ long live the Queen! vive la reine!(d) (for a long time) depuis longtemps;∎ it has long been known that... on sait depuis longtemps que...;∎ I have long suspected that he was involved in it cela fait longtemps que je le soupçonne ou je le soupçonne depuis longtemps d'être impliqué là-dedans;∎ the longest-running TV series le feuilleton télévisé qui existe depuis le plus longtemps∎ all day/week long toute la journée/la semaine;∎ all my life long toute ma vie∎ to go long acheter à la hausse, prendre une position longue;∎ to buy long acheter à long terme∎ so long! salut!, à bientôt!□∎ I long for him il me manque énormément;∎ she was longing for a letter from you elle attendait impatiemment que vous lui écriviez;∎ we were longing for a cup of tea nous avions très envie d'une tasse de thé;∎ to long or to be longing to do sth être impatient ou avoir hâte de faire qch;∎ he's longing to go back to Italy il meurt d'envie de retourner en Italie;∎ I was longing to tell her the truth je mourais d'envie de lui dire la vérité;∎ I've been longing to meet you for years cela fait des années que je souhaite faire votre connaissanceStock Exchange titres mpl longs, obligations fpl longues(a) (during the time that) aussi longtemps que, tant que;∎ as long as he's in power, there will be no hope tant qu'il sera au pouvoir, il n'y aura aucun espoir;∎ I'll never forget that day for as long as I live jamais de ma vie je n'oublierai ce jour(b) (providing) à condition que, pourvu que;∎ you can have it as long as you give me it back vous pouvez le prendre à condition que ou pourvu que vous me le rendiez;∎ I'll do it as long as I get paid for it je le ferai à condition d'être payé;∎ you can go out as long as you're back before midnight tu peux sortir à condition de rentrer avant minuit;∎ as long as you're happy du moment que tu es heureux∎ as long as you're going to the post office get me some stamps puisque tu vas à la poste, achète-moi des timbres(soon) dans peu de temps, sous peu; (soon afterwards) peu (de temps) après;∎ she'll be back before long elle sera de retour dans peu de temps ou sous peu;∎ before long, everything had returned to normal tout était rapidement rentré dans l'ordrelongtemps;∎ he's still in charge here, but not for long c'est encore lui qui s'en occupe, mais plus pour longtempsne...plus;∎ not any longer plus maintenant;∎ she no longer loves him elle ne l'aime plus;∎ I can't wait any longer je ne peux pas attendre plus longtemps, je ne peux plus attendre;∎ they used to live there, but not any longer ils habitaient là autrefois, mais plus maintenant►► long black grand café m noir;Finance long credit crédit m à long terme;long dress (for evening wear) robe f longue;long drink long drink m; (non-alcoholic) = grand verre de jus de fruits, de limonade etc;Finance long hedge couverture f longue, achat m par couverture;Long Island Long Island;∎ on Long Island à Long Island;Long Island iced tea = cocktail composé de cinq alcools, de bitter et de Coca-Cola;familiar long johns caleçon m long□, caleçons mpl longs□ ;Sport long jump saut m en longueur;Sport long jumper sauteur(euse) m,f en longueur;History the Long March la Longue Marche;American long pants pantalon m long;the Long Parliament le Long Parlement, = Parlement convoqué par Charles Ier en 1640, renvoyé par Cromwell en 1653 et dissous en 1660;long pig chair f humaine;Stock Exchange long position position f acheteur ou longue;∎ to take a long position acheter à la hausse, prendre une position longue;long shot (competitor, racehorse etc) outsider m; (bet) pari m risqué; Cinema plan m éloigné; figurative entreprise f hasardeuse;∎ it's a bit of a long shot il y a peu de chances pour que cela réussisse;∎ it's a bit of a long shot, but we may be successful c'est une entreprise hasardeuse mais nous réussirons peut-être;∎ I haven't finished, not by a long shot je n'ai pas fini, loin de là;Technology long ton tonne f anglaise;long trousers pantalon m long;University long vacation grandes vacances fpl, vacances fpl d'été;long view prévisions fpl à long terme;∎ to take the long view envisager les choses à long terme;long vodka = cocktail à base de vodka, de bitter, de sirop de citron vert et de soda ou limonade;Radio long wave grandes ondes fpl;∎ on long wave sur les grandes ondes;long weekend week-end m prolongé;∎ to take a long weekend prendre un week-end prolongé -
9 lurk
lə:k(to wait in hiding especially with a dishonest or criminal purpose: She saw someone lurking in the shadows.) skjule seg, ligge på lurIsubst. \/lɜːk\/1) skjulested, gjemmested2) (austr., slang) list, kunstgrep, triks, snarvei (til suksess), knep, smutthull• she rose fast in the hierarchy, and seemed to know all the lurkshun steg raskt i hierarkiet, og så ut til å kjenne til alle snarveiene3) lureri4) jobblie on the lurk ligge på lurlurks and perks snarveier til suksessIIverb \/lɜːk\/1) stå og lure, ligge på lur, holde seg gjemt2) ( overført) ligge latent, ligge under overflaten, ligge på lurlurk about snike seg omkring -
10 lurk
lə:k
1. гл.
1) скрываться в засаде;
прятаться;
перен. оставаться незамеченным;
таиться lurk about lurk around Syn: creep, prowl, skulk, slink, sneak, steal
2) редк. красться
2. сущ.
1) слежка on the lurk ≈ тайно высматривая, подстерегая
2) разг. обман;
уловка, хитрость
3) австрал., новозел. сл. работа
4) сл. потаенное место, убежище
5) диал. бездельник слежка - on the * подглядывая, тайно высматривая, подстерегая (разговорное) трюк;
обман скрываться, прятаться притаиться;
скрываться в засаде - there is smb. *ing in the shadows там кто- то прячется в тени таиться;
оставаться - some suspicion still *ed in his mind какие-то смутные подозрения все еще не покидали его - strange beauty *ed in the autumn woodland странная красота таилась в осеннем лесе (редкое) красться (тж. * along, * out) тайно угрожать( чему-л., кому-л.) - dangers are *ing around every bend опасности подстерегают за каждым поворотом lurk редк. красться ~ разг. обман ~ скрываться в засаде;
прятаться;
перен. оставаться незамеченным;
таиться on the ~ тайно высматривая, подстерегая -
11 lurk
1. [lɜ:k] n1. слежкаon the lurk - подглядывая, тайно высматривая, подстерегая
2. разг. трюк; обман2. [lɜ:k] v1. скрываться, прятаться; притаиться; скрываться в засадеthere is smb. lurking in the shadows - там кто-то прячется в тени
2. таиться; оставатьсяsome suspicion still lurked in his mind - какие-то смутные подозрения всё ещё не покидали его
strange beauty lurked in the autumn woodland - странная красота таилась в осеннем лесе
3. редк. красться (тж. lurk along, lurk out)4. тайно угрожать (чему-л., кому-л.)dangers are lurking around every bend - опасности подстерегают за каждым поворотом
-
12 lurk
1. n слежкаon the lurk — подглядывая, тайно высматривая, подстерегая
2. n разг. трюк; обман3. v скрываться, прятаться; притаиться; скрываться в засаде4. v таиться; оставаться5. v редк. красться6. v тайно угрожатьСинонимический ряд:skulk (verb) creep; glide; gumshoe; hide; lie concealed; lie hidden; lie in ambush; lie in wait; prowl; pussyfoot; shirk; skulk; slide; slink; slip; sly; snake; sneak; steal
См. также в других словарях:
Shadows of the Mind — Infobox Book name = Shadows of the Mind: A Search for the Missing Science of Consciousness image caption = author = Roger Penrose illustrator = cover artist = Joel Nakamura country = USA language = English series = subject = Artificial… … Wikipedia
Children of the Mind — … Wikipedia
Aberrations of the Mind — Infobox Album | Name = Aberrations of the Mind Type = Album Artist = Morgana Lefay Released = March 19th, 2007 Recorded = Studio Soundcreation, Bollnäs, Sweden Genre = Heavy metal Thrash metal Length = Label = Black Mark Records Producer =… … Wikipedia
Odyssey of the Mind — Founder(s) Dr. C. Samuel Micklus, Dr. Theodore Gourley Type Creative Problem Solving Competition Founded 1978 Origins Glassboro State College, New Jersey … Wikipedia
Splinter of the Mind's Eye — Infobox SW Books name = Star Wars: Splinter of the Mind s Eye title orig = translator = author = Alan Dean Foster cover artist = editor = country = USA language = English era = Rebellion canon = C subject = Star Wars genre = Science Fiction… … Wikipedia
The Emperor's New Mind — The Emperor s New Mind: Concerning Computers, Minds and The Laws of Physics is a 1989 book by mathematical physicist Sir Roger Penrose.Penrose presents the argument that human consciousness is non algorithmic, and thus is not capable of being… … Wikipedia
The Science of God — is a book by Alister McGrath summarising his three volume A Scientific Theology .ectionsIntroduction1. Prolegomena2. Nature3. RealityIn this section McGrath suggests inter alia that one approach to the failure of the Enlightenment is to argue for … Wikipedia
The Reasoning — are a rock band from Cardiff, formed in August 2005. They consist of bassist Matthew Cohen, Dylan Thompson (guitar and vocals), Gareth Jones (keyboards and vocals), Owain Roberts (guitar), Vinden Wylde (drums) and the award winning singer Rachel… … Wikipedia
The Straitjacket Lottery — Infobox Film name = The Straitjacket Lottery image size = caption = Theatrical Poster director = Doug Karr producer = Sierra Bellows Doug Karr Rick Saulnier Emmerson Denney writer = Sierra Bellows Doug Karr starring = Andy Jones David Huband Tara … Wikipedia
The Vampire Diaries (novel series) — The Vampire Diaries The Vampire Diaries: Return: Midnight The Awakening The Struggle The Fury Dark Reunion The Return: Nightfall The Return: Shadow Souls The Return: Midnight The Hunters: Phantom The Hunters: Moonsong … Wikipedia
Mind Garage — Top Row L R Ted Smith, Norris Lytton Bottom Jack Bond, John Vaughan Center Larry McClurg, . Background information Origin Morgantown, West Virginia … Wikipedia
