-
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 Computers
The brain has been compared to a digital computer because the neuron, like a switch or valve, either does or does not complete a circuit. But at that point the similarity ends. The switch in the digital computer is constant in its effect, and its effect is large in proportion to the total output of the machine. The effect produced by the neuron varies with its recovery from [the] refractory phase and with its metabolic state. The number of neurons involved in any action runs into millions so that the influence of any one is negligible.... Any cell in the system can be dispensed with.... The brain is an analogical machine, not digital. Analysis of the integrative activities will probably have to be in statistical terms. (Lashley, quoted in Beach, Hebb, Morgan & Nissen, 1960, p. 539)It is essential to realize that a computer is not a mere "number cruncher," or supercalculating arithmetic machine, although this is how computers are commonly regarded by people having no familiarity with artificial intelligence. Computers do not crunch numbers; they manipulate symbols.... Digital computers originally developed with mathematical problems in mind, are in fact general purpose symbol manipulating machines....The terms "computer" and "computation" are themselves unfortunate, in view of their misleading arithmetical connotations. The definition of artificial intelligence previously cited-"the study of intelligence as computation"-does not imply that intelligence is really counting. Intelligence may be defined as the ability creatively to manipulate symbols, or process information, given the requirements of the task in hand. (Boden, 1981, pp. 15, 16-17)The task is to get computers to explain things to themselves, to ask questions about their experiences so as to cause those explanations to be forthcoming, and to be creative in coming up with explanations that have not been previously available. (Schank, 1986, p. 19)In What Computers Can't Do, written in 1969 (2nd edition, 1972), the main objection to AI was the impossibility of using rules to select only those facts about the real world that were relevant in a given situation. The "Introduction" to the paperback edition of the book, published by Harper & Row in 1979, pointed out further that no one had the slightest idea how to represent the common sense understanding possessed even by a four-year-old. (Dreyfus & Dreyfus, 1986, p. 102)A popular myth says that the invention of the computer diminishes our sense of ourselves, because it shows that rational thought is not special to human beings, but can be carried on by a mere machine. It is a short stop from there to the conclusion that intelligence is mechanical, which many people find to be an affront to all that is most precious and singular about their humanness.In fact, the computer, early in its career, was not an instrument of the philistines, but a humanizing influence. It helped to revive an idea that had fallen into disrepute: the idea that the mind is real, that it has an inner structure and a complex organization, and can be understood in scientific terms. For some three decades, until the 1940s, American psychology had lain in the grip of the ice age of behaviorism, which was antimental through and through. During these years, extreme behaviorists banished the study of thought from their agenda. Mind and consciousness, thinking, imagining, planning, solving problems, were dismissed as worthless for anything except speculation. Only the external aspects of behavior, the surface manifestations, were grist for the scientist's mill, because only they could be observed and measured....It is one of the surprising gifts of the computer in the history of ideas that it played a part in giving back to psychology what it had lost, which was nothing less than the mind itself. In particular, there was a revival of interest in how the mind represents the world internally to itself, by means of knowledge structures such as ideas, symbols, images, and inner narratives, all of which had been consigned to the realm of mysticism. (Campbell, 1989, p. 10)[Our artifacts] only have meaning because we give it to them; their intentionality, like that of smoke signals and writing, is essentially borrowed, hence derivative. To put it bluntly: computers themselves don't mean anything by their tokens (any more than books do)-they only mean what we say they do. Genuine understanding, on the other hand, is intentional "in its own right" and not derivatively from something else. (Haugeland, 1981a, pp. 32-33)he debate over the possibility of computer thought will never be won or lost; it will simply cease to be of interest, like the previous debate over man as a clockwork mechanism. (Bolter, 1984, p. 190)t takes us a long time to emotionally digest a new idea. The computer is too big a step, and too recently made, for us to quickly recover our balance and gauge its potential. It's an enormous accelerator, perhaps the greatest one since the plow, twelve thousand years ago. As an intelligence amplifier, it speeds up everything-including itself-and it continually improves because its heart is information or, more plainly, ideas. We can no more calculate its consequences than Babbage could have foreseen antibiotics, the Pill, or space stations.Further, the effects of those ideas are rapidly compounding, because a computer design is itself just a set of ideas. As we get better at manipulating ideas by building ever better computers, we get better at building even better computers-it's an ever-escalating upward spiral. The early nineteenth century, when the computer's story began, is already so far back that it may as well be the Stone Age. (Rawlins, 1997, p. 19)According to weak AI, the principle value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion than before. But according to strong AI the computer is not merely a tool in the study of the mind; rather the appropriately programmed computer really is a mind in the sense that computers given the right programs can be literally said to understand and have other cognitive states. And according to strong AI, because the programmed computer has cognitive states, the programs are not mere tools that enable us to test psychological explanations; rather, the programs are themselves the explanations. (Searle, 1981b, p. 353)What makes people smarter than machines? They certainly are not quicker or more precise. Yet people are far better at perceiving objects in natural scenes and noting their relations, at understanding language and retrieving contextually appropriate information from memory, at making plans and carrying out contextually appropriate actions, and at a wide range of other natural cognitive tasks. People are also far better at learning to do these things more accurately and fluently through processing experience.What is the basis for these differences? One answer, perhaps the classic one we might expect from artificial intelligence, is "software." If we only had the right computer program, the argument goes, we might be able to capture the fluidity and adaptability of human information processing. Certainly this answer is partially correct. There have been great breakthroughs in our understanding of cognition as a result of the development of expressive high-level computer languages and powerful algorithms. However, we do not think that software is the whole story.In our view, people are smarter than today's computers because the brain employs a basic computational architecture that is more suited to deal with a central aspect of the natural information processing tasks that people are so good at.... hese tasks generally require the simultaneous consideration of many pieces of information or constraints. Each constraint may be imperfectly specified and ambiguous, yet each can play a potentially decisive role in determining the outcome of processing. (McClelland, Rumelhart & Hinton, 1986, pp. 3-4)Historical dictionary of quotations in cognitive science > Computers
-
3 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
-
4 want
I[wɔnt] n կարիք. պակաս, բացա կա յություն. want of appetite ախորժակի պակաս. for want of չլինելու/բացակայության պատ ճառով. for want of care խնամքի բացակայու թյան պատ ճա ռով. for want of smth to do պարապությունից. basic wants հիմնական կարիքներ. be in want of մի բանի կարիք ունենալ/զգալ. live in want կարիքի մեջ ապրել. His wants are few Նա շատ պահանջկոտ չէ, Քիչ պահանջներ ունիII[wɔnt] v կարիք զգալ, պահանջվել. You want a good haircut Քեզ հարկավոր է մազերդ կտրել. The flat wants repairing Բնա կարանը վերանորոգման կարիք ունի. It wants some knowledge Որոշ գիտելիքի պա հանջ է զգացվում, Այստեղ որոշ գիտելիքի կա րիք կա. if I’m wanted եթե իմ կարիքը կա. He is wanted by the police Նրան ոստիկանությունն է փնտրում. wanted ! Հետախուզման մեջ է/են: wanted on the phone Հեռախոսի մոտ են կանչում. “Engineer wanted” (հայտար.) ”Պահանջ վում է ինժեներ.” The dog wants out Շունը դուրս է ուզում. (պակաս/պետք լինել) He wants cou rage Նրան քաջություն է պակասում. want in common sense առողջ դատողության պակաս. She wants for nothing Նա ոչ մի բանի կարիք չունի. He is a little wanting Տախտակը պակաս է, Նորմալ չէ -
5 Historical Portugal
Before Romans described western Iberia or Hispania as "Lusitania," ancient Iberians inhabited the land. Phoenician and Greek trading settlements grew up in the Tagus estuary area and nearby coasts. Beginning around 202 BCE, Romans invaded what is today southern Portugal. With Rome's defeat of Carthage, Romans proceeded to conquer and rule the western region north of the Tagus, which they named Roman "Lusitania." In the fourth century CE, as Rome's rule weakened, the area experienced yet another invasion—Germanic tribes, principally the Suevi, who eventually were Christianized. During the sixth century CE, the Suevi kingdom was superseded by yet another Germanic tribe—the Christian Visigoths.A major turning point in Portugal's history came in 711, as Muslim armies from North Africa, consisting of both Arab and Berber elements, invaded the Iberian Peninsula from across the Straits of Gibraltar. They entered what is now Portugal in 714, and proceeded to conquer most of the country except for the far north. For the next half a millennium, Islam and Muslim presence in Portugal left a significant mark upon the politics, government, language, and culture of the country.Islam, Reconquest, and Portugal Created, 714-1140The long frontier struggle between Muslim invaders and Christian communities in the north of the Iberian peninsula was called the Reconquista (Reconquest). It was during this struggle that the first dynasty of Portuguese kings (Burgundian) emerged and the independent monarchy of Portugal was established. Christian forces moved south from what is now the extreme north of Portugal and gradually defeated Muslim forces, besieging and capturing towns under Muslim sway. In the ninth century, as Christian forces slowly made their way southward, Christian elements were dominant only in the area between Minho province and the Douro River; this region became known as "territorium Portu-calense."In the 11th century, the advance of the Reconquest quickened as local Christian armies were reinforced by crusading knights from what is now France and England. Christian forces took Montemor (1034), at the Mondego River; Lamego (1058); Viseu (1058); and Coimbra (1064). In 1095, the king of Castile and Léon granted the country of "Portu-cale," what became northern Portugal, to a Burgundian count who had emigrated from France. This was the foundation of Portugal. In 1139, a descendant of this count, Afonso Henriques, proclaimed himself "King of Portugal." He was Portugal's first monarch, the "Founder," and the first of the Burgundian dynasty, which ruled until 1385.The emergence of Portugal in the 12th century as a separate monarchy in Iberia occurred before the Christian Reconquest of the peninsula. In the 1140s, the pope in Rome recognized Afonso Henriques as king of Portugal. In 1147, after a long, bloody siege, Muslim-occupied Lisbon fell to Afonso Henriques's army. Lisbon was the greatest prize of the 500-year war. Assisting this effort were English crusaders on their way to the Holy Land; the first bishop of Lisbon was an Englishman. When the Portuguese captured Faro and Silves in the Algarve province in 1248-50, the Reconquest of the extreme western portion of the Iberian peninsula was complete—significantly, more than two centuries before the Spanish crown completed the Reconquest of the eastern portion by capturing Granada in 1492.Consolidation and Independence of Burgundian Portugal, 1140-1385Two main themes of Portugal's early existence as a monarchy are the consolidation of control over the realm and the defeat of a Castil-ian threat from the east to its independence. At the end of this period came the birth of a new royal dynasty (Aviz), which prepared to carry the Christian Reconquest beyond continental Portugal across the straits of Gibraltar to North Africa. There was a variety of motives behind these developments. Portugal's independent existence was imperiled by threats from neighboring Iberian kingdoms to the north and east. Politics were dominated not only by efforts against the Muslims inPortugal (until 1250) and in nearby southern Spain (until 1492), but also by internecine warfare among the kingdoms of Castile, Léon, Aragon, and Portugal. A final comeback of Muslim forces was defeated at the battle of Salado (1340) by allied Castilian and Portuguese forces. In the emerging Kingdom of Portugal, the monarch gradually gained power over and neutralized the nobility and the Church.The historic and commonplace Portuguese saying "From Spain, neither a good wind nor a good marriage" was literally played out in diplomacy and war in the late 14th-century struggles for mastery in the peninsula. Larger, more populous Castile was pitted against smaller Portugal. Castile's Juan I intended to force a union between Castile and Portugal during this era of confusion and conflict. In late 1383, Portugal's King Fernando, the last king of the Burgundian dynasty, suddenly died prematurely at age 38, and the Master of Aviz, Portugal's most powerful nobleman, took up the cause of independence and resistance against Castile's invasion. The Master of Aviz, who became King João I of Portugal, was able to obtain foreign assistance. With the aid of English archers, Joao's armies defeated the Castilians in the crucial battle of Aljubarrota, on 14 August 1385, a victory that assured the independence of the Portuguese monarchy from its Castilian nemesis for several centuries.Aviz Dynasty and Portugal's First Overseas Empire, 1385-1580The results of the victory at Aljubarrota, much celebrated in Portugal's art and monuments, and the rise of the Aviz dynasty also helped to establish a new merchant class in Lisbon and Oporto, Portugal's second city. This group supported King João I's program of carrying the Reconquest to North Africa, since it was interested in expanding Portugal's foreign commerce and tapping into Muslim trade routes and resources in Africa. With the Reconquest against the Muslims completed in Portugal and the threat from Castile thwarted for the moment, the Aviz dynasty launched an era of overseas conquest, exploration, and trade. These efforts dominated Portugal's 15th and 16th centuries.The overseas empire and age of Discoveries began with Portugal's bold conquest in 1415 of the Moroccan city of Ceuta. One royal member of the 1415 expedition was young, 21-year-old Prince Henry, later known in history as "Prince Henry the Navigator." His part in the capture of Ceuta won Henry his knighthood and began Portugal's "Marvelous Century," during which the small kingdom was counted as a European and world power of consequence. Henry was the son of King João I and his English queen, Philippa of Lancaster, but he did not inherit the throne. Instead, he spent most of his life and his fortune, and that of the wealthy military Order of Christ, on various imperial ventures and on voyages of exploration down the African coast and into the Atlantic. While mythology has surrounded Henry's controversial role in the Discoveries, and this role has been exaggerated, there is no doubt that he played a vital part in the initiation of Portugal's first overseas empire and in encouraging exploration. He was naturally curious, had a sense of mission for Portugal, and was a strong leader. He also had wealth to expend; at least a third of the African voyages of the time were under his sponsorship. If Prince Henry himself knew little science, significant scientific advances in navigation were made in his day.What were Portugal's motives for this new imperial effort? The well-worn historical cliche of "God, Glory, and Gold" can only partly explain the motivation of a small kingdom with few natural resources and barely 1 million people, which was greatly outnumbered by the other powers it confronted. Among Portuguese objectives were the desire to exploit known North African trade routes and resources (gold, wheat, leather, weaponry, and other goods that were scarce in Iberia); the need to outflank the Muslim world in the Mediterranean by sailing around Africa, attacking Muslims en route; and the wish to ally with Christian kingdoms beyond Africa. This enterprise also involved a strategy of breaking the Venetian spice monopoly by trading directly with the East by means of discovering and exploiting a sea route around Africa to Asia. Besides the commercial motives, Portugal nurtured a strong crusading sense of Christian mission, and various classes in the kingdom saw an opportunity for fame and gain.By the time of Prince Henry's death in 1460, Portugal had gained control of the Atlantic archipelagos of the Azores and Madeiras, begun to colonize the Cape Verde Islands, failed to conquer the Canary Islands from Castile, captured various cities on Morocco's coast, and explored as far as Senegal, West Africa, down the African coast. By 1488, Bar-tolomeu Dias had rounded the Cape of Good Hope in South Africa and thereby discovered the way to the Indian Ocean.Portugal's largely coastal African empire and later its fragile Asian empire brought unexpected wealth but were purchased at a high price. Costs included wars of conquest and defense against rival powers, manning the far-flung navel and trade fleets and scattered castle-fortresses, and staffing its small but fierce armies, all of which entailed a loss of skills and population to maintain a scattered empire. Always short of capital, the monarchy became indebted to bankers. There were many defeats beginning in the 16th century at the hands of the larger imperial European monarchies (Spain, France, England, and Holland) and many attacks on Portugal and its strung-out empire. Typically, there was also the conflict that arose when a tenuously held world empire that rarely if ever paid its way demanded finance and manpower Portugal itself lacked.The first 80 years of the glorious imperial era, the golden age of Portugal's imperial power and world influence, was an African phase. During 1415-88, Portuguese navigators and explorers in small ships, some of them caravelas (caravels), explored the treacherous, disease-ridden coasts of Africa from Morocco to South Africa beyond the Cape of Good Hope. By the 1470s, the Portuguese had reached the Gulf of Guinea and, in the early 1480s, what is now Angola. Bartolomeu Dias's extraordinary voyage of 1487-88 to South Africa's coast and the edge of the Indian Ocean convinced Portugal that the best route to Asia's spices and Christians lay south, around the tip of southern Africa. Between 1488 and 1495, there was a hiatus caused in part by domestic conflict in Portugal, discussion of resources available for further conquests beyond Africa in Asia, and serious questions as to Portugal's capacity to reach beyond Africa. In 1495, King Manuel and his council decided to strike for Asia, whatever the consequences. In 1497-99, Vasco da Gama, under royal orders, made the epic two-year voyage that discovered the sea route to western India (Asia), outflanked Islam and Venice, and began Portugal's Asian empire. Within 50 years, Portugal had discovered and begun the exploitation of its largest colony, Brazil, and set up forts and trading posts from the Middle East (Aden and Ormuz), India (Calicut, Goa, etc.), Malacca, and Indonesia to Macau in China.By the 1550s, parts of its largely coastal, maritime trading post empire from Morocco to the Moluccas were under siege from various hostile forces, including Muslims, Christians, and Hindi. Although Moroccan forces expelled the Portuguese from the major coastal cities by 1550, the rival European monarchies of Castile (Spain), England, France, and later Holland began to seize portions of her undermanned, outgunned maritime empire.In 1580, Phillip II of Spain, whose mother was a Portuguese princess and who had a strong claim to the Portuguese throne, invaded Portugal, claimed the throne, and assumed control over the realm and, by extension, its African, Asian, and American empires. Phillip II filled the power vacuum that appeared in Portugal following the loss of most of Portugal's army and its young, headstrong King Sebastião in a disastrous war in Morocco. Sebastiao's death in battle (1578) and the lack of a natural heir to succeed him, as well as the weak leadership of the cardinal who briefly assumed control in Lisbon, led to a crisis that Spain's strong monarch exploited. As a result, Portugal lost its independence to Spain for a period of 60 years.Portugal under Spanish Rule, 1580-1640Despite the disastrous nature of Portugal's experience under Spanish rule, "The Babylonian Captivity" gave birth to modern Portuguese nationalism, its second overseas empire, and its modern alliance system with England. Although Spain allowed Portugal's weakened empire some autonomy, Spanish rule in Portugal became increasingly burdensome and unacceptable. Spain's ambitious imperial efforts in Europe and overseas had an impact on the Portuguese as Spain made greater and greater demands on its smaller neighbor for manpower and money. Portugal's culture underwent a controversial Castilianization, while its empire became hostage to Spain's fortunes. New rival powers England, France, and Holland attacked and took parts of Spain's empire and at the same time attacked Portugal's empire, as well as the mother country.Portugal's empire bore the consequences of being attacked by Spain's bitter enemies in what was a form of world war. Portuguese losses were heavy. By 1640, Portugal had lost most of its Moroccan cities as well as Ceylon, the Moluccas, and sections of India. With this, Portugal's Asian empire was gravely weakened. Only Goa, Damão, Diu, Bombay, Timor, and Macau remained and, in Brazil, Dutch forces occupied the northeast.On 1 December 1640, long commemorated as a national holiday, Portuguese rebels led by the duke of Braganza overthrew Spanish domination and took advantage of Spanish weakness following a more serious rebellion in Catalonia. Portugal regained independence from Spain, but at a price: dependence on foreign assistance to maintain its independence in the form of the renewal of the alliance with England.Restoration and Second Empire, 1640-1822Foreign affairs and empire dominated the restoration era and aftermath, and Portugal again briefly enjoyed greater European power and prestige. The Anglo-Portuguese Alliance was renewed and strengthened in treaties of 1642, 1654, and 1661, and Portugal's independence from Spain was underwritten by English pledges and armed assistance. In a Luso-Spanish treaty of 1668, Spain recognized Portugal's independence. Portugal's alliance with England was a marriage of convenience and necessity between two monarchies with important religious, cultural, and social differences. In return for legal, diplomatic, and trade privileges, as well as the use during war and peace of Portugal's great Lisbon harbor and colonial ports for England's navy, England pledged to protect Portugal and its scattered empire from any attack. The previously cited 17th-century alliance treaties were renewed later in the Treaty of Windsor, signed in London in 1899. On at least 10 different occasions after 1640, and during the next two centuries, England was central in helping prevent or repel foreign invasions of its ally, Portugal.Portugal's second empire (1640-1822) was largely Brazil-oriented. Portuguese colonization, exploitation of wealth, and emigration focused on Portuguese America, and imperial revenues came chiefly from Brazil. Between 1670 and 1740, Portugal's royalty and nobility grew wealthier on funds derived from Brazilian gold, diamonds, sugar, tobacco, and other crops, an enterprise supported by the Atlantic slave trade and the supply of African slave labor from West Africa and Angola. Visitors today can see where much of that wealth was invested: Portugal's rich legacy of monumental architecture. Meanwhile, the African slave trade took a toll in Angola and West Africa.In continental Portugal, absolutist monarchy dominated politics and government, and there was a struggle for position and power between the monarchy and other institutions, such as the Church and nobility. King José I's chief minister, usually known in history as the marquis of Pombal (ruled 1750-77), sharply suppressed the nobility and theChurch (including the Inquisition, now a weak institution) and expelled the Jesuits. Pombal also made an effort to reduce economic dependence on England, Portugal's oldest ally. But his successes did not last much beyond his disputed time in office.Beginning in the late 18th century, the European-wide impact of the French Revolution and the rise of Napoleon placed Portugal in a vulnerable position. With the monarchy ineffectively led by an insane queen (Maria I) and her indecisive regent son (João VI), Portugal again became the focus of foreign ambition and aggression. With England unable to provide decisive assistance in time, France—with Spain's consent—invaded Portugal in 1807. As Napoleon's army under General Junot entered Lisbon meeting no resistance, Portugal's royal family fled on a British fleet to Brazil, where it remained in exile until 1821. In the meantime, Portugal's overseas empire was again under threat. There was a power vacuum as the monarch was absent, foreign armies were present, and new political notions of liberalism and constitutional monarchy were exciting various groups of citizens.Again England came to the rescue, this time in the form of the armies of the duke of Wellington. Three successive French invasions of Portugal were defeated and expelled, and Wellington succeeded in carrying the war against Napoleon across the Portuguese frontier into Spain. The presence of the English army, the new French-born liberal ideas, and the political vacuum combined to create revolutionary conditions. The French invasions and the peninsular wars, where Portuguese armed forces played a key role, marked the beginning of a new era in politics.Liberalism and Constitutional Monarchy, 1822-1910During 1807-22, foreign invasions, war, and civil strife over conflicting political ideas gravely damaged Portugal's commerce, economy, and novice industry. The next terrible blow was the loss of Brazil in 1822, the jewel in the imperial crown. Portugal's very independence seemed to be at risk. In vain, Portugal sought to resist Brazilian independence by force, but in 1825 it formally acknowledged Brazilian independence by treaty.Portugal's slow recovery from the destructive French invasions and the "war of independence" was complicated by civil strife over the form of constitutional monarchy that best suited Portugal. After struggles over these issues between 1820 and 1834, Portugal settled somewhat uncertainly into a moderate constitutional monarchy whose constitution (Charter of 1826) lent it strong political powers to exert a moderating influence between the executive and legislative branches of the government. It also featured a new upper middle class based on land ownership and commerce; a Catholic Church that, although still important, lived with reduced privileges and property; a largely African (third) empire to which Lisbon and Oporto devoted increasing spiritual and material resources, starting with the liberal imperial plans of 1836 and 1851, and continuing with the work of institutions like the Lisbon Society of Geography (established 1875); and a mass of rural peasants whose bonds to the land weakened after 1850 and who began to immigrate in increasing numbers to Brazil and North America.Chronic military intervention in national politics began in 19th-century Portugal. Such intervention, usually commencing with coups or pronunciamentos (military revolts), was a shortcut to the spoils of political office and could reflect popular discontent as well as the power of personalities. An early example of this was the 1817 golpe (coup) attempt of General Gomes Freire against British military rule in Portugal before the return of King João VI from Brazil. Except for a more stable period from 1851 to 1880, military intervention in politics, or the threat thereof, became a feature of the constitutional monarchy's political life, and it continued into the First Republic and the subsequent Estado Novo.Beginning with the Regeneration period (1851-80), Portugal experienced greater political stability and economic progress. Military intervention in politics virtually ceased; industrialization and construction of railroads, roads, and bridges proceeded; two political parties (Regenerators and Historicals) worked out a system of rotation in power; and leading intellectuals sparked a cultural revival in several fields. In 19th-century literature, there was a new golden age led by such figures as Alexandre Herculano (historian), Eça de Queirós (novelist), Almeida Garrett (playwright and essayist), Antero de Quental (poet), and Joaquim Oliveira Martins (historian and social scientist). In its third overseas empire, Portugal attempted to replace the slave trade and slavery with legitimate economic activities; to reform the administration; and to expand Portuguese holdings beyond coastal footholds deep into the African hinterlands in West, West Central, and East Africa. After 1841, to some extent, and especially after 1870, colonial affairs, combined with intense nationalism, pressures for economic profit in Africa, sentiment for national revival, and the drift of European affairs would make or break Lisbon governments.Beginning with the political crisis that arose out of the "English Ultimatum" affair of January 1890, the monarchy became discredtted and identified with the poorly functioning government, political parties splintered, and republicanism found more supporters. Portugal participated in the "Scramble for Africa," expanding its African holdings, but failed to annex territory connecting Angola and Mozambique. A growing foreign debt and state bankruptcy as of the early 1890s damaged the constitutional monarchy's reputation, despite the efforts of King Carlos in diplomacy, the renewal of the alliance in the Windsor Treaty of 1899, and the successful if bloody colonial wars in the empire (1880-97). Republicanism proclaimed that Portugal's weak economy and poor society were due to two historic institutions: the monarchy and the Catholic Church. A republic, its stalwarts claimed, would bring greater individual liberty; efficient, if more decentralized government; and a stronger colonial program while stripping the Church of its role in both society and education.As the monarchy lost support and republicans became more aggressive, violence increased in politics. King Carlos I and his heir Luís were murdered in Lisbon by anarchist-republicans on 1 February 1908. Following a military and civil insurrection and fighting between monarchist and republican forces, on 5 October 1910, King Manuel II fled Portugal and a republic was proclaimed.First Parliamentary Republic, 1910-26Portugal's first attempt at republican government was the most unstable, turbulent parliamentary republic in the history of 20th-century Western Europe. During a little under 16 years of the republic, there were 45 governments, a number of legislatures that did not complete normal terms, military coups, and only one president who completed his four-year term in office. Portuguese society was poorly prepared for this political experiment. Among the deadly legacies of the monarchy were a huge public debt; a largely rural, apolitical, and illiterate peasant population; conflict over the causes of the country's misfortunes; and lack of experience with a pluralist, democratic system.The republic had some talented leadership but lacked popular, institutional, and economic support. The 1911 republican constitution established only a limited democracy, as only a small portion of the adult male citizenry was eligible to vote. In a country where the majority was Catholic, the republic passed harshly anticlerical laws, and its institutions and supporters persecuted both the Church and its adherents. During its brief disjointed life, the First Republic drafted important reform plans in economic, social, and educational affairs; actively promoted development in the empire; and pursued a liberal, generous foreign policy. Following British requests for Portugal's assistance in World War I, Portugal entered the war on the Allied side in March 1916 and sent armies to Flanders and Portuguese Africa. Portugal's intervention in that conflict, however, was too costly in many respects, and the ultimate failure of the republic in part may be ascribed to Portugal's World War I activities.Unfortunately for the republic, its time coincided with new threats to Portugal's African possessions: World War I, social and political demands from various classes that could not be reconciled, excessive military intervention in politics, and, in particular, the worst economic and financial crisis Portugal had experienced since the 16th and 17th centuries. After the original Portuguese Republican Party (PRP, also known as the "Democrats") splintered into three warring groups in 1912, no true multiparty system emerged. The Democrats, except for only one or two elections, held an iron monopoly of electoral power, and political corruption became a major issue. As extreme right-wing dictatorships elsewhere in Europe began to take power in Italy (1922), neighboring Spain (1923), and Greece (1925), what scant popular support remained for the republic collapsed. Backed by a right-wing coalition of landowners from Alentejo, clergy, Coimbra University faculty and students, Catholic organizations, and big business, career military officers led by General Gomes da Costa executed a coup on 28 May 1926, turned out the last republican government, and established a military government.The Estado Novo (New State), 1926-74During the military phase (1926-32) of the Estado Novo, professional military officers, largely from the army, governed and administered Portugal and held key cabinet posts, but soon discovered that the military possessed no magic formula that could readily solve the problems inherited from the First Republic. Especially during the years 1926-31, the military dictatorship, even with its political repression of republican activities and institutions (military censorship of the press, political police action, and closure of the republic's rowdy parliament), was characterized by similar weaknesses: personalism and factionalism; military coups and political instability, including civil strife and loss of life; state debt and bankruptcy; and a weak economy. "Barracks parliamentarism" was not an acceptable alternative even to the "Nightmare Republic."Led by General Óscar Carmona, who had replaced and sent into exile General Gomes da Costa, the military dictatorship turned to a civilian expert in finance and economics to break the budget impasse and bring coherence to the disorganized system. Appointed minister of finance on 27 April 1928, the Coimbra University Law School professor of economics Antônio de Oliveira Salazar (1889-1970) first reformed finance, helped balance the budget, and then turned to other concerns as he garnered extraordinary governing powers. In 1930, he was appointed interim head of another key ministry (Colonies) and within a few years had become, in effect, a civilian dictator who, with the military hierarchy's support, provided the government with coherence, a program, and a set of policies.For nearly 40 years after he was appointed the first civilian prime minister in 1932, Salazar's personality dominated the government. Unlike extreme right-wing dictators elsewhere in Europe, Salazar was directly appointed by the army but was never endorsed by a popular political party, street militia, or voter base. The scholarly, reclusive former Coimbra University professor built up what became known after 1932 as the Estado Novo ("New State"), which at the time of its overthrow by another military coup in 1974, was the longest surviving authoritarian regime in Western Europe. The system of Salazar and the largely academic and technocratic ruling group he gathered in his cabinets was based on the central bureaucracy of the state, which was supported by the president of the republic—always a senior career military officer, General Óscar Carmona (1928-51), General Craveiro Lopes (1951-58), and Admiral Américo Tómaz (1958-74)—and the complicity of various institutions. These included a rubber-stamp legislature called the National Assembly (1935-74) and a political police known under various names: PVDE (1932-45), PIDE (1945-69),and DGS (1969-74). Other defenders of the Estado Novo security were paramilitary organizations such as the National Republican Guard (GNR); the Portuguese Legion (PL); and the Portuguese Youth [Movement]. In addition to censorship of the media, theater, and books, there was political repression and a deliberate policy of depoliticization. All political parties except for the approved movement of regime loyalists, the União Nacional or (National Union), were banned.The most vigorous and more popular period of the New State was 1932-44, when the basic structures were established. Never monolithic or entirely the work of one person (Salazar), the New State was constructed with the assistance of several dozen top associates who were mainly academics from law schools, some technocrats with specialized skills, and a handful of trusted career military officers. The 1933 Constitution declared Portugal to be a "unitary, corporative Republic," and pressures to restore the monarchy were resisted. Although some of the regime's followers were fascists and pseudofascists, many more were conservative Catholics, integralists, nationalists, and monarchists of different varieties, and even some reactionary republicans. If the New State was authoritarian, it was not totalitarian and, unlike fascism in Benito Mussolini's Italy or Adolf Hitler's Germany, it usually employed the minimum of violence necessary to defeat what remained a largely fractious, incoherent opposition.With the tumultuous Second Republic and the subsequent civil war in nearby Spain, the regime felt threatened and reinforced its defenses. During what Salazar rightly perceived as a time of foreign policy crisis for Portugal (1936-45), he assumed control of the Ministry of Foreign Affairs. From there, he pursued four basic foreign policy objectives: supporting the Nationalist rebels of General Francisco Franco in the Spanish Civil War (1936-39) and concluding defense treaties with a triumphant Franco; ensuring that General Franco in an exhausted Spain did not enter World War II on the Axis side; maintaining Portuguese neutrality in World War II with a post-1942 tilt toward the Allies, including granting Britain and the United States use of bases in the Azores Islands; and preserving and protecting Portugal's Atlantic Islands and its extensive, if poor, overseas empire in Africa and Asia.During the middle years of the New State (1944-58), many key Salazar associates in government either died or resigned, and there was greater social unrest in the form of unprecedented strikes and clandestine Communist activities, intensified opposition, and new threatening international pressures on Portugal's overseas empire. During the earlier phase of the Cold War (1947-60), Portugal became a steadfast, if weak, member of the US-dominated North Atlantic Treaty Organization alliance and, in 1955, with American support, Portugal joined the United Nations (UN). Colonial affairs remained a central concern of the regime. As of 1939, Portugal was the third largest colonial power in the world and possessed territories in tropical Africa (Angola, Mozambique, Guinea-Bissau, and São Tomé and Príncipe Islands) and the remnants of its 16th-century empire in Asia (Goa, Damão, Diu, East Timor, and Macau). Beginning in the early 1950s, following the independence of India in 1947, Portugal resisted Indian pressures to decolonize Portuguese India and used police forces to discourage internal opposition in its Asian and African colonies.The later years of the New State (1958-68) witnessed the aging of the increasingly isolated but feared Salazar and new threats both at home and overseas. Although the regime easily overcame the brief oppositionist threat from rival presidential candidate General Humberto Delgado in the spring of 1958, new developments in the African and Asian empires imperiled the authoritarian system. In February 1961, oppositionists hijacked the Portuguese ocean liner Santa Maria and, in following weeks, African insurgents in northern Angola, although they failed to expel the Portuguese, gained worldwide media attention, discredited the New State, and began the 13-year colonial war. After thwarting a dissident military coup against his continued leadership, Salazar and his ruling group mobilized military repression in Angola and attempted to develop the African colonies at a faster pace in order to ensure Portuguese control. Meanwhile, the other European colonial powers (Britain, France, Belgium, and Spain) rapidly granted political independence to their African territories.At the time of Salazar's removal from power in September 1968, following a stroke, Portugal's efforts to maintain control over its colonies appeared to be successful. President Americo Tomás appointed Dr. Marcello Caetano as Salazar's successor as prime minister. While maintaining the New State's basic structures, and continuing the regime's essential colonial policy, Caetano attempted wider reforms in colonial administration and some devolution of power from Lisbon, as well as more freedom of expression in Lisbon. Still, a great deal of the budget was devoted to supporting the wars against the insurgencies in Africa. Meanwhile in Asia, Portuguese India had fallen when the Indian army invaded in December 1961. The loss of Goa was a psychological blow to the leadership of the New State, and of the Asian empire only East Timor and Macau remained.The Caetano years (1968-74) were but a hiatus between the waning Salazar era and a new regime. There was greater political freedom and rapid economic growth (5-6 percent annually to late 1973), but Caetano's government was unable to reform the old system thoroughly and refused to consider new methods either at home or in the empire. In the end, regime change came from junior officers of the professional military who organized the Armed Forces Movement (MFA) against the Caetano government. It was this group of several hundred officers, mainly in the army and navy, which engineered a largely bloodless coup in Lisbon on 25 April 1974. Their unexpected action brought down the 48-year-old New State and made possible the eventual establishment and consolidation of democratic governance in Portugal, as well as a reorientation of the country away from the Atlantic toward Europe.Revolution of Carnations, 1974-76Following successful military operations of the Armed Forces Movement against the Caetano government, Portugal experienced what became known as the "Revolution of Carnations." It so happened that during the rainy week of the military golpe, Lisbon flower shops were featuring carnations, and the revolutionaries and their supporters adopted the red carnation as the common symbol of the event, as well as of the new freedom from dictatorship. The MFA, whose leaders at first were mostly little-known majors and captains, proclaimed a three-fold program of change for the new Portugal: democracy; decolonization of the overseas empire, after ending the colonial wars; and developing a backward economy in the spirit of opportunity and equality. During the first 24 months after the coup, there was civil strife, some anarchy, and a power struggle. With the passing of the Estado Novo, public euphoria burst forth as the new provisional military government proclaimed the freedoms of speech, press, and assembly, and abolished censorship, the political police, the Portuguese Legion, Portuguese Youth, and other New State organizations, including the National Union. Scores of political parties were born and joined the senior political party, the Portuguese Community Party (PCP), and the Socialist Party (PS), founded shortly before the coup.Portugal's Revolution of Carnations went through several phases. There was an attempt to take control by radical leftists, including the PCP and its allies. This was thwarted by moderate officers in the army, as well as by the efforts of two political parties: the PS and the Social Democrats (PPD, later PSD). The first phase was from April to September 1974. Provisional president General Antonio Spínola, whose 1974 book Portugal and the Future had helped prepare public opinion for the coup, met irresistible leftist pressures. After Spinola's efforts to avoid rapid decolonization of the African empire failed, he resigned in September 1974. During the second phase, from September 1974 to March 1975, radical military officers gained control, but a coup attempt by General Spínola and his supporters in Lisbon in March 1975 failed and Spínola fled to Spain.In the third phase of the Revolution, March-November 1975, a strong leftist reaction followed. Farm workers occupied and "nationalized" 1.1 million hectares of farmland in the Alentejo province, and radical military officers in the provisional government ordered the nationalization of Portuguese banks (foreign banks were exempted), utilities, and major industries, or about 60 percent of the economic system. There were power struggles among various political parties — a total of 50 emerged—and in the streets there was civil strife among labor, military, and law enforcement groups. A constituent assembly, elected on 25 April 1975, in Portugal's first free elections since 1926, drafted a democratic constitution. The Council of the Revolution (CR), briefly a revolutionary military watchdog committee, was entrenched as part of the government under the constitution, until a later revision. During the chaotic year of 1975, about 30 persons were killed in political frays while unstable provisional governments came and went. On 25 November 1975, moderate military forces led by Colonel Ramalho Eanes, who later was twice elected president of the republic (1976 and 1981), defeated radical, leftist military groups' revolutionary conspiracies.In the meantime, Portugal's scattered overseas empire experienced a precipitous and unprepared decolonization. One by one, the former colonies were granted and accepted independence—Guinea-Bissau (September 1974), Cape Verde Islands (July 1975), and Mozambique (July 1975). Portugal offered to turn over Macau to the People's Republic of China, but the offer was refused then and later negotiations led to the establishment of a formal decolonization or hand-over date of 1999. But in two former colonies, the process of decolonization had tragic results.In Angola, decolonization negotiations were greatly complicated by the fact that there were three rival nationalist movements in a struggle for power. The January 1975 Alvor Agreement signed by Portugal and these three parties was not effectively implemented. A bloody civil war broke out in Angola in the spring of 1975 and, when Portuguese armed forces withdrew and declared that Angola was independent on 11 November 1975, the bloodshed only increased. Meanwhile, most of the white Portuguese settlers from Angola and Mozambique fled during the course of 1975. Together with African refugees, more than 600,000 of these retornados ("returned ones") went by ship and air to Portugal and thousands more to Namibia, South Africa, Brazil, Canada, and the United States.The second major decolonization disaster was in Portugal's colony of East Timor in the Indonesian archipelago. Portugal's capacity to supervise and control a peaceful transition to independence in this isolated, neglected colony was limited by the strength of giant Indonesia, distance from Lisbon, and Portugal's revolutionary disorder and inability to defend Timor. In early December 1975, before Portugal granted formal independence and as one party, FRETILIN, unilaterally declared East Timor's independence, Indonesia's armed forces invaded, conquered, and annexed East Timor. Indonesian occupation encountered East Timorese resistance, and a heavy loss of life followed. The East Timor question remained a contentious international issue in the UN, as well as in Lisbon and Jakarta, for more than 20 years following Indonesia's invasion and annexation of the former colony of Portugal. Major changes occurred, beginning in 1998, after Indonesia underwent a political revolution and allowed a referendum in East Timor to decide that territory's political future in August 1999. Most East Timorese chose independence, but Indonesian forces resisted that verdict untilUN intervention in September 1999. Following UN rule for several years, East Timor attained full independence on 20 May 2002.Consolidation of Democracy, 1976-2000After several free elections and record voter turnouts between 25 April 1975 and June 1976, civil war was averted and Portugal's second democratic republic began to stabilize. The MFA was dissolved, the military were returned to the barracks, and increasingly elected civilians took over the government of the country. The 1976 Constitution was revised several times beginning in 1982 and 1989, in order to reempha-size the principle of free enterprise in the economy while much of the large, nationalized sector was privatized. In June 1976, General Ram-alho Eanes was elected the first constitutional president of the republic (five-year term), and he appointed socialist leader Dr. Mário Soares as prime minister of the first constitutional government.From 1976 to 1985, Portugal's new system featured a weak economy and finances, labor unrest, and administrative and political instability. The difficult consolidation of democratic governance was eased in part by the strong currency and gold reserves inherited from the Estado Novo, but Lisbon seemed unable to cope with high unemployment, new debt, the complex impact of the refugees from Africa, world recession, and the agitation of political parties. Four major parties emerged from the maelstrom of 1974-75, except for the Communist Party, all newly founded. They were, from left to right, the Communists (PCP); the Socialists (PS), who managed to dominate governments and the legislature but not win a majority in the Assembly of the Republic; the Social Democrats (PSD); and the Christian Democrats (CDS). During this period, the annual growth rate was low (l-2 percent), and the nationalized sector of the economy stagnated.Enhanced economic growth, greater political stability, and more effective central government as of 1985, and especially 1987, were due to several developments. In 1977, Portugal applied for membership in the European Economic Community (EEC), now the European Union (EU) since 1993. In January 1986, with Spain, Portugal was granted membership, and economic and financial progress in the intervening years has been significantly influenced by the comparatively large investment, loans, technology, advice, and other assistance from the EEC. Low unemployment, high annual growth rates (5 percent), and moderate inflation have also been induced by the new political and administrative stability in Lisbon. Led by Prime Minister Cavaco Silva, an economist who was trained abroad, the PSD's strong organization, management, and electoral support since 1985 have assisted in encouraging economic recovery and development. In 1985, the PSD turned the PS out of office and won the general election, although they did not have an absolute majority of assembly seats. In 1986, Mário Soares was elected president of the republic, the first civilian to hold that office since the First Republic. In the elections of 1987 and 1991, however, the PSD was returned to power with clear majorities of over 50 percent of the vote.Although the PSD received 50.4 percent of the vote in the 1991 parliamentary elections and held a 42-seat majority in the Assembly of the Republic, the party began to lose public support following media revelations regarding corruption and complaints about Prime Minister Cavaco Silva's perceived arrogant leadership style. President Mário Soares voiced criticism of the PSD's seemingly untouchable majority and described a "tyranny of the majority." Economic growth slowed down. In the parliamentary elections of 1995 and the presidential election of 1996, the PSD's dominance ended for the time being. Prime Minister Antônio Guterres came to office when the PS won the October 1995 elections, and in the subsequent presidential contest, in January 1996, socialist Jorge Sampaio, the former mayor of Lisbon, was elected president of the republic, thus defeating Cavaco Silva's bid. Young and popular, Guterres moved the PS toward the center of the political spectrum. Under Guterres, the PS won the October 1999 parliamentary elections. The PS defeated the PSD but did not manage to win a clear, working majority of seats, and this made the PS dependent upon alliances with smaller parties, including the PCP.In the local elections in December 2001, the PSD's criticism of PS's heavy public spending allowed the PSD to take control of the key cities of Lisbon, Oporto, and Coimbra. Guterres resigned, and parliamentary elections were brought forward from 2004 to March 2002. The PSD won a narrow victory with 40 percent of the votes, and Jose Durão Barroso became prime minister. Having failed to win a majority of the seats in parliament forced the PSD to govern in coalition with the right-wing Popular Party (PP) led by Paulo Portas. Durão Barroso set about reducing government spending by cutting the budgets of local authorities, freezing civil service hiring, and reviving the economy by accelerating privatization of state-owned enterprises. These measures provoked a 24-hour strike by public-sector workers. Durão Barroso reacted with vows to press ahead with budget-cutting measures and imposed a wage freeze on all employees earning more than €1,000, which affected more than one-half of Portugal's work force.In June 2004, Durão Barroso was invited by Romano Prodi to succeed him as president of the European Commission. Durão Barroso accepted and resigned the prime ministership in July. Pedro Santana Lopes, the leader of the PSD, became prime minister. Already unpopular at the time of Durão Barroso's resignation, the PSD-led government became increasingly unpopular under Santana Lopes. A month-long delay in the start of the school year and confusion over his plan to cut taxes and raise public-sector salaries, eroded confidence even more. By November, Santana Lopes's government was so unpopular that President Jorge Sampaio was obliged to dissolve parliament and hold new elections, two years ahead of schedule.Parliamentary elections were held on 20 February 2005. The PS, which had promised the electorate disciplined and transparent governance, educational reform, the alleviation of poverty, and a boost in employment, won 45 percent of the vote and the majority of the seats in parliament. The leader of the PS, José Sôcrates became prime minister on 12 March 2005. In the regularly scheduled presidential elections held on 6 January 2006, the former leader of the PSD and prime minister, Aníbal Cavaco Silva, won a narrow victory and became president on 9 March 2006. With a mass protest, public teachers' strike, and street demonstrations in March 2008, Portugal's media, educational, and social systems experienced more severe pressures. With the spreading global recession beginning in September 2008, Portugal's economic and financial systems became more troubled.Owing to its geographic location on the southwestern most edge of continental Europe, Portugal has been historically in but not of Europe. Almost from the beginning of its existence in the 12th century as an independent monarchy, Portugal turned its back on Europe and oriented itself toward the Atlantic Ocean. After carving out a Christian kingdom on the western portion of the Iberian peninsula, Portuguese kings gradually built and maintained a vast seaborne global empire that became central to the way Portugal understood its individuality as a nation-state. While the creation of this empire allows Portugal to claim an unusual number of "firsts" or distinctions in world and Western history, it also retarded Portugal's economic, social, and political development. It can be reasonably argued that the Revolution of 25 April 1974 was the most decisive event in Portugal's long history because it finally ended Portugal's oceanic mission and view of itself as an imperial power. After the 1974 Revolution, Portugal turned away from its global mission and vigorously reoriented itself toward Europe. Contemporary Portugal is now both in and of Europe.The turn toward Europe began immediately after 25 April 1974. Portugal granted independence to its African colonies in 1975. It was admitted to the European Council and took the first steps toward accession to the European Economic Community (EEC) in 1976. On 28 March 1977, the Portuguese government officially applied for EEC membership. Because of Portugal's economic and social backwardness, which would require vast sums of EEC money to overcome, negotiations for membership were long and difficult. Finally, a treaty of accession was signed on 12 June 1985. Portugal officially joined the EEC (the European Union [EU] since 1993) on 1 January 1986. Since becoming a full-fledged member of the EU, Portugal has been steadily overcoming the economic and social underdevelopment caused by its imperial past and is becoming more like the rest of Europe.Membership in the EU has speeded up the structural transformation of Portugal's economy, which actually began during the Estado Novo. Investments made by the Estado Novo in Portugal's economy began to shift employment out of the agricultural sector, which, in 1950, accounted for 50 percent of Portugal's economically active population. Today, only 10 percent of the economically active population is employed in the agricultural sector (the highest among EU member states); 30 percent in the industrial sector (also the highest among EU member states); and 60 percent in the service sector (the lowest among EU member states). The economically active population numbers about 5,000,000 employed, 56 percent of whom are women. Women workers are the majority of the workforce in the agricultural and service sectors (the highest among the EU member states). The expansion of the service sector has been primarily in health care and education. Portugal has had the lowest unemployment rates among EU member states, with the overall rate never being more than 10 percent of the active population. Since joining the EU, the number of employers increased from 2.6 percent to 5.8 percent of the active population; self-employed from 16 to 19 percent; and employees from 65 to 70 percent. Twenty-six percent of the employers are women. Unemployment tends to hit younger workers in industry and transportation, women employed in domestic service, workers on short-term contracts, and poorly educated workers. Salaried workers earn only 63 percent of the EU average, and hourly workers only one-third to one-half of that earned by their EU counterparts. Despite having had the second highest growth of gross national product (GNP) per inhabitant (after Ireland) among EU member states, the above data suggest that while much has been accomplished in terms of modernizing the Portuguese economy, much remains to be done to bring Portugal's economy up to the level of the "average" EU member state.Membership in the EU has also speeded up changes in Portuguese society. Over the last 30 years, coastalization and urbanization have intensified. Fully 50 percent of Portuguese live in the coastal urban conurbations of Lisbon, Oporto, Braga, Aveiro, Coimbra, Viseu, Évora, and Faro. The Portuguese population is one of the oldest among EU member states (17.3 percent are 65 years of age or older) thanks to a considerable increase in life expectancy at birth (77.87 years for the total population, 74.6 years for men, 81.36 years for women) and one of the lowest birthrates (10.59 births/1,000) in Europe. Family size averages 2.8 persons per household, with the strict nuclear family (one or two generations) in which both parents work being typical. Common law marriages, cohabitating couples, and single-parent households are more and more common. The divorce rate has also increased. "Youth Culture" has developed. The young have their own meeting places, leisure-time activities, and nightlife (bars, clubs, and discos).All Portuguese citizens, whether they have contributed or not, have a right to an old-age pension, invalidity benefits, widowed persons' pension, as well as payments for disabilities, children, unemployment, and large families. There is a national minimum wage (€385 per month), which is low by EU standards. The rapid aging of Portugal's population has changed the ratio of contributors to pensioners to 1.7, the lowest in the EU. This has created deficits in Portugal's social security fund.The adult literacy rate is about 92 percent. Illiteracy is still found among the elderly. Although universal compulsory education up to grade 9 was achieved in 1980, only 21.2 percent of the population aged 25-64 had undergone secondary education, compared to an EU average of 65.7 percent. Portugal's higher education system currently consists of 14 state universities and 14 private universities, 15 state polytechnic institutions, one Catholic university, and one military academy. All in all, Portugal spends a greater percentage of its state budget on education than most EU member states. Despite this high level of expenditure, the troubled Portuguese education system does not perform well. Early leaving and repetition rates are among the highest among EU member states.After the Revolution of 25 April 1974, Portugal created a National Health Service, which today consists of 221 hospitals and 512 medical centers employing 33,751 doctors and 41,799 nurses. Like its education system, Portugal's medical system is inefficient. There are long waiting lists for appointments with specialists and for surgical procedures.Structural changes in Portugal's economy and society mean that social life in Portugal is not too different from that in other EU member states. A mass consumption society has been created. Televisions, telephones, refrigerators, cars, music equipment, mobile phones, and personal computers are commonplace. Sixty percent of Portuguese households possess at least one automobile, and 65 percent of Portuguese own their own home. Portuguese citizens are more aware of their legal rights than ever before. This has resulted in a trebling of the number of legal proceeding since 1960 and an eight-fold increase in the number of lawyers. In general, Portuguese society has become more permissive and secular; the Catholic Church and the armed forces are much less influential than in the past. Portugal's population is also much more culturally, religiously, and ethnically diverse, a consequence of the coming to Portugal of hundreds of thousands of immigrants, mainly from former African colonies.Portuguese are becoming more cosmopolitan and sophisticated through the impact of world media, the Internet, and the World Wide Web. A prime case in point came in the summer and early fall of 1999, with the extraordinary events in East Timor and the massive Portuguese popular responses. An internationally monitored referendum in East Timor, Portugal's former colony in the Indonesian archipelago and under Indonesian occupation from late 1975 to summer 1999, resulted in a vote of 78.5 percent for rejecting integration with Indonesia and for independence. When Indonesian prointegration gangs, aided by the Indonesian military, responded to the referendum with widespread brutality and threatened to reverse the verdict of the referendum, there was a spontaneous popular outpouring of protest in the cities and towns of Portugal. An avalanche of Portuguese e-mail fell on leaders and groups in the UN and in certain countries around the world as Portugal's diplomats, perhaps to compensate for the weak initial response to Indonesian armed aggression in 1975, called for the protection of East Timor as an independent state and for UN intervention to thwart Indonesian action. Using global communications networks, the Portuguese were able to mobilize UN and world public opinion against Indonesian actions and aided the eventual independence of East Timor on 20 May 2002.From the Revolution of 25 April 1974 until the 1990s, Portugal had a large number of political parties, one of the largest Communist parties in western Europe, frequent elections, and endemic cabinet instability. Since the 1990s, the number of political parties has been dramatically reduced and cabinet stability increased. Gradually, the Portuguese electorate has concentrated around two larger parties, the right-of-center Social Democrats (PSD) and the left-of-center Socialist (PS). In the 1980s, these two parties together garnered 65 percent of the vote and 70 percent of the seats in parliament. In 2005, these percentages had risen to 74 percent and 85 percent, respectively. In effect, Portugal is currently a two-party dominant system in which the two largest parties — PS and PSD—alternate in and out of power, not unlike the rotation of the two main political parties (the Regenerators and the Historicals) during the last decades (1850s to 1880s) of the liberal constitutional monarchy. As Portugal's democracy has consolidated, turnout rates for the eligible electorate have declined. In the 1970s, turnout was 85 percent. In Portugal's most recent parliamentary election (2005), turnout had fallen to 65 percent of the eligible electorate.Portugal has benefited greatly from membership in the EU, and whatever doubts remain about the price paid for membership, no Portuguese government in the near future can afford to sever this connection. The vast majority of Portuguese citizens see membership in the EU as a "good thing" and strongly believe that Portugal has benefited from membership. Only the Communist Party opposed membership because it reduces national sovereignty, serves the interests of capitalists not workers, and suffers from a democratic deficit. Despite the high level of support for the EU, Portuguese voters are increasingly not voting in elections for the European Parliament, however. Turnout for European Parliament elections fell from 40 percent of the eligible electorate in the 1999 elections to 38 percent in the 2004 elections.In sum, Portugal's turn toward Europe has done much to overcome its backwardness. However, despite the economic, social, and political progress made since 1986, Portugal has a long way to go before it can claim to be on a par with the level found even in Spain, much less the rest of western Europe. As Portugal struggles to move from underde-velopment, especially in the rural areas away from the coast, it must keep in mind the perils of too rapid modern development, which could damage two of its most precious assets: its scenery and environment. The growth and future prosperity of the economy will depend on the degree to which the government and the private sector will remain stewards of clean air, soil, water, and other finite resources on which the tourism industry depends and on which Portugal's world image as a unique place to visit rests. Currently, Portugal is investing heavily in renewable energy from solar, wind, and wave power in order to account for about 50 percent of its electricity needs by 2010. Portugal opened the world's largest solar power plant and the world's first commercial wave power farm in 2006.An American documentary film on Portugal produced in the 1970s described this little country as having "a Past in Search of a Future." In the years after the Revolution of 25 April 1974, it could be said that Portugal is now living in "a Present in Search of a Future." Increasingly, that future lies in Europe as an active and productive member of the EU. -
6 Cognitive Science
The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense.... [P]eople and intelligent computers turn out to be merely different manifestations of the same underlying phenomenon. (Haugeland, 1981b, p. 31)2) Experimental Psychology, Theoretical Linguistics, and Computational Simulation of Cognitive Processes Are All Components of Cognitive ScienceI went away from the Symposium with a strong conviction, more intuitive than rational, that human experimental psychology, theoretical linguistics, and computer simulation of cognitive processes were all pieces of a larger whole, and that the future would see progressive elaboration and coordination of their shared concerns.... I have been working toward a cognitive science for about twenty years beginning before I knew what to call it. (G. A. Miller, 1979, p. 9)Cognitive Science studies the nature of cognition in human beings, other animals, and inanimate machines (if such a thing is possible). While computers are helpful within cognitive science, they are not essential to its being. A science of cognition could still be pursued even without these machines.Computer Science studies various kinds of problems and the use of computers to solve them, without concern for the means by which we humans might otherwise resolve them. There could be no computer science if there were no machines of this kind, because they are indispensable to its being. Artificial Intelligence is a special branch of computer science that investigates the extent to which the mental powers of human beings can be captured by means of machines.There could be cognitive science without artificial intelligence but there could be no artificial intelligence without cognitive science. One final caveat: In the case of an emerging new discipline such as cognitive science there is an almost irresistible temptation to identify the discipline itself (as a field of inquiry) with one of the theories that inspired it (such as the computational conception...). This, however, is a mistake. The field of inquiry (or "domain") stands to specific theories as questions stand to possible answers. The computational conception should properly be viewed as a research program in cognitive science, where "research programs" are answers that continue to attract followers. (Fetzer, 1996, pp. xvi-xvii)What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.The psychologist who studies "knowledge systems" wants to know how concepts are structured in the human mind, how such concepts develop, and how they are used in understanding and behavior. The artificial intelligence researcher wants to know how to program a computer so that it can understand and interact with the outside world. The two orientations intersect when the psychologist and the computer scientist agree that the best way to approach the problem of building an intelligent machine is to emulate the human conceptual mechanisms that deal with language.... The name "cognitive science" has been used to refer to this convergence of interests in psychology and artificial intelligence....This working partnership in "cognitive science" does not mean that psychologists and computer scientists are developing a single comprehensive theory in which people are no different from machines. Psychology and artificial intelligence have many points of difference in methods and goals.... We simply want to work on an important area of overlapping interest, namely a theory of knowledge systems. As it turns out, this overlap is substantial. For both people and machines, each in their own way, there is a serious problem in common of making sense out of what they hear, see, or are told about the world. The conceptual apparatus necessary to perform even a partial feat of understanding is formidable and fascinating. (Schank & Abelson, 1977, pp. 1-2)Within the last dozen years a general change in scientific outlook has occurred, consonant with the point of view represented here. One can date the change roughly from 1956: in psychology, by the appearance of Bruner, Goodnow, and Austin's Study of Thinking and George Miller's "The Magical Number Seven"; in linguistics, by Noam Chomsky's "Three Models of Language"; and in computer science, by our own paper on the Logic Theory Machine. (Newell & Simon, 1972, p. 4)Historical dictionary of quotations in cognitive science > Cognitive Science
-
7 Creativity
Put in this bald way, these aims sound utopian. How utopian they areor rather, how imminent their realization-depends on how broadly or narrowly we interpret the term "creative." If we are willing to regard all human complex problem solving as creative, then-as we will point out-successful programs for problem solving mechanisms that simulate human problem solvers already exist, and a number of their general characteristics are known. If we reserve the term "creative" for activities like discovery of the special theory of relativity or the composition of Beethoven's Seventh Symphony, then no example of a creative mechanism exists at the present time. (Simon, 1979, pp. 144-145)Among the questions that can now be given preliminary answers in computational terms are the following: how can ideas from very different sources be spontaneously thought of together? how can two ideas be merged to produce a new structure, which shows the influence of both ancestor ideas without being a mere "cut-and-paste" combination? how can the mind be "primed," so that one will more easily notice serendipitous ideas? why may someone notice-and remember-something fairly uninteresting, if it occurs in an interesting context? how can a brief phrase conjure up an entire melody from memory? and how can we accept two ideas as similar ("love" and "prove" as rhyming, for instance) in respect of a feature not identical in both? The features of connectionist AI models that suggest answers to these questions are their powers of pattern completion, graceful degradation, sensitization, multiple constraint satisfaction, and "best-fit" equilibration.... Here, the important point is that the unconscious, "insightful," associative aspects of creativity can be explained-in outline, at least-by AI methods. (Boden, 1996, p. 273)There thus appears to be an underlying similarity in the process involved in creative innovation and social independence, with common traits and postures required for expression of both behaviors. The difference is one of product-literary, musical, artistic, theoretical products on the one hand, opinions on the other-rather than one of process. In both instances the individual must believe that his perceptions are meaningful and valid and be willing to rely upon his own interpretations. He must trust himself sufficiently that even when persons express opinions counter to his own he can proceed on the basis of his own perceptions and convictions. (Coopersmith, 1967, p. 58)he average level of ego strength and emotional stability is noticeably higher among creative geniuses than among the general population, though it is possibly lower than among men of comparable intelligence and education who go into administrative and similar positions. High anxiety and excitability appear common (e.g. Priestley, Darwin, Kepler) but full-blown neurosis is quite rare. (Cattell & Butcher, 1970, p. 315)he insight that is supposed to be required for such work as discovery turns out to be synonymous with the familiar process of recognition; and other terms commonly used in the discussion of creative work-such terms as "judgment," "creativity," or even "genius"-appear to be wholly dispensable or to be definable, as insight is, in terms of mundane and well-understood concepts. (Simon, 1989, p. 376)From the sketch material still in existence, from the condition of the fragments, and from the autographs themselves we can draw definite conclusions about Mozart's creative process. To invent musical ideas he did not need any stimulation; they came to his mind "ready-made" and in polished form. In contrast to Beethoven, who made numerous attempts at shaping his musical ideas until he found the definitive formulation of a theme, Mozart's first inspiration has the stamp of finality. Any Mozart theme has completeness and unity; as a phenomenon it is a Gestalt. (Herzmann, 1964, p. 28)Great artists enlarge the limits of one's perception. Looking at the world through the eyes of Rembrandt or Tolstoy makes one able to perceive aspects of truth about the world which one could not have achieved without their aid. Freud believed that science was adaptive because it facilitated mastery of the external world; but was it not the case that many scientific theories, like works of art, also originated in phantasy? Certainly, reading accounts of scientific discovery by men of the calibre of Einstein compelled me to conclude that phantasy was not merely escapist, but a way of reaching new insights concerning the nature of reality. Scientific hypotheses require proof; works of art do not. Both are concerned with creating order, with making sense out of the world and our experience of it. (Storr, 1993, p. xii)The importance of self-esteem for creative expression appears to be almost beyond disproof. Without a high regard for himself the individual who is working in the frontiers of his field cannot trust himself to discriminate between the trivial and the significant. Without trust in his own powers the person seeking improved solutions or alternative theories has no basis for distinguishing the significant and profound innovation from the one that is merely different.... An essential component of the creative process, whether it be analysis, synthesis, or the development of a new perspective or more comprehensive theory, is the conviction that one's judgment in interpreting the events is to be trusted. (Coopersmith, 1967, p. 59)In the daily stream of thought these four different stages [preparation; incubation; illumination or inspiration; and verification] constantly overlap each other as we explore different problems. An economist reading a Blue Book, a physiologist watching an experiment, or a business man going through his morning's letters, may at the same time be "incubating" on a problem which he proposed to himself a few days ago, be accumulating knowledge in "preparation" for a second problem, and be "verifying" his conclusions to a third problem. Even in exploring the same problem, the mind may be unconsciously incubating on one aspect of it, while it is consciously employed in preparing for or verifying another aspect. (Wallas, 1926, p. 81)he basic, bisociative pattern of the creative synthesis [is] the sudden interlocking of two previously unrelated skills, or matrices of thought. (Koestler, 1964, p. 121)11) The Earliest Stages in the Creative Process Involve a Commerce with DisorderEven to the creator himself, the earliest effort may seem to involve a commerce with disorder. For the creative order, which is an extension of life, is not an elaboration of the established, but a movement beyond the established, or at least a reorganization of it and often of elements not included in it. The first need is therefore to transcend the old order. Before any new order can be defined, the absolute power of the established, the hold upon us of what we know and are, must be broken. New life comes always from outside our world, as we commonly conceive that world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." (Ghiselin, 1985, p. 4)New life comes always from outside our world, as we commonly conceive our world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." Chaos and disorder are perhaps the wrong terms for that indeterminate fullness and activity of the inner life. For it is organic, dynamic, full of tension and tendency. What is absent from it, except in the decisive act of creation, is determination, fixity, and commitment to one resolution or another of the whole complex of its tensions. (Ghiselin, 1952, p. 13)[P]sychoanalysts have principally been concerned with the content of creative products, and with explaining content in terms of the artist's infantile past. They have paid less attention to examining why the artist chooses his particular activity to express, abreact or sublimate his emotions. In short, they have not made much distinction between art and neurosis; and, since the former is one of the blessings of mankind, whereas the latter is one of the curses, it seems a pity that they should not be better differentiated....Psychoanalysis, being fundamentally concerned with drive and motive, might have been expected to throw more light upon what impels the creative person that in fact it has. (Storr, 1993, pp. xvii, 3)A number of theoretical approaches were considered. Associative theory, as developed by Mednick (1962), gained some empirical support from the apparent validity of the Remote Associates Test, which was constructed on the basis of the theory.... Koestler's (1964) bisociative theory allows more complexity to mental organization than Mednick's associative theory, and postulates "associative contexts" or "frames of reference." He proposed that normal, non-creative, thought proceeds within particular contexts or frames and that the creative act involves linking together previously unconnected frames.... Simonton (1988) has developed associative notions further and explored the mathematical consequences of chance permutation of ideas....Like Koestler, Gruber (1980; Gruber and Davis, 1988) has based his analysis on case studies. He has focused especially on Darwin's development of the theory of evolution. Using piagetian notions, such as assimilation and accommodation, Gruber shows how Darwin's system of ideas changed very slowly over a period of many years. "Moments of insight," in Gruber's analysis, were the culminations of slow long-term processes.... Finally, the information-processing approach, as represented by Simon (1966) and Langley et al. (1987), was considered.... [Simon] points out the importance of good problem representations, both to ensure search is in an appropriate problem space and to aid in developing heuristic evaluations of possible research directions.... The work of Langley et al. (1987) demonstrates how such search processes, realized in computer programs, can indeed discover many basic laws of science from tables of raw data.... Boden (1990a, 1994) has stressed the importance of restructuring the problem space in creative work to develop new genres and paradigms in the arts and sciences. (Gilhooly, 1996, pp. 243-244; emphasis in original)Historical dictionary of quotations in cognitive science > Creativity
-
8 decency
noun(propriety) Anstand, der; (of manners, literature, language) Schicklichkeit, die (geh.); (fairness, respectability) Anständigkeit, dieit is [a matter of] common decency — es ist eine Frage des Anstands
* * *noun ((the general idea of) what is proper, fitting, moral etc; the quality or act of being decent: In the interests of decency, we have banned nude bathing; He had the decency to admit that it was his fault.) der Anstand* * *de·cen·cy[ˈdi:sən(t)si]nto show a little \decency etwas Anstand zeigento have the \decency to do sth die Liebenswürdigkeit haben, etw zu tun2. (approved behaviour)I hate funerals, but you must observe the decencies ich hasse Beerdigungen, aber man muss eben die Form wahren* * *['diːsənsI]n(= good manners etc) Anstand m; (of dress etc) Anständigkeit f; (of behaviour) Schicklichkeit fdecency demands that... — der Anstand fordert, dass...
it's only common decency to... — es gehört sich einfach, zu...
he could have had the decency to tell me — er hätte es mir anständigerweise auch sagen können
I hope you'll have the decency to tell me — ich hoffe, du wirst die Anständigkeit besitzen, es mir zu sagen
* * *decency [ˈdiːsnsı] s1. Anstand m, Schicklichkeit f:for decency’s sake anstandshalber2. Anständigkeit f:he had the decency to leave er war so anständig zu gehen3. pla) geziemende Formb) Anstand(sregeln) m(pl):observe the decencies den Anstand wahren4. pl Annehmlichkeiten pl (des Lebens)* * *noun(propriety) Anstand, der; (of manners, literature, language) Schicklichkeit, die (geh.); (fairness, respectability) Anständigkeit, dieit is [a matter of] common decency — es ist eine Frage des Anstands
* * *n.Anstand -¨e m.Anständigkeit f.Schicklichkeit f. -
9 language
1) языка) естественный язык, средство человеческого общенияб) система знаков, жестов или сигналов для передачи или хранения информациив) стильг) речь2) языкознание, лингвистика•- actor language
- agent communication language
- a-hardware programming language - application-oriented language
- applicative language
- a-programming language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language - business-oriented programming language
- categorical language - configuration language
- constraint language
- combined programming language
- command language
- common language
- common business-oriented language
- compiled language
- compiler language
- computer language
- computer-dependent language - computer-oriented language
- computer-sensitive language
- concurrent language - context- sensitive language
- conversational language
- coordinate language
- database language
- database query language - data structure language
- digital system design language
- declarative language
- declarative markup language
- definitional language
- definitional constraint language
- design language
- device media control language - dynamically scoped language - elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible language - formalized language - functional language
- functional programming language - graph-oriented language - high-order language
- host language - hypersymbol language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language - interpreted language - Java programming language - lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language - meta language
- mnemonic language
- musical language - native-mode language
- natural language - nonprocedural language
- object language
- object-oriented language - physical language
- picture query language
- portable language
- portable standard language
- polymorphic language - print control language
- problem-oriented language
- problem statement language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robot-level language
- robotic control language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language - sign language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification language - stratified language
- stream language
- string-handling language - strongly-typed language - symbolic language - thing language - tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language - well-structured programming language -
10 language
1) языка) естественный язык, средство человеческого общенияб) система знаков, жестов или сигналов для передачи или хранения информациив) стильг) речь2) языкознание, лингвистика•- a programming language
- abstract machine language
- actor language
- agent communication language
- algebraic logic functional language
- algorithmic language
- amorhic language
- application-oriented language
- applicative language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language
- axiomatic architecture description language
- basic combined programming language
- block-structured language
- boundary scan description language
- business-oriented language
- business-oriented programming language
- categorical abstract machine language
- categorical language
- cellular language
- combined programming language
- command language
- common business-oriented language
- common language
- compiled language
- compiler language
- computer hardware description language
- computer language
- computer-dependent language
- computer-independent language
- computer-oriented language
- computer-sensitive language
- concurrent language
- configuration language
- constraint language
- context-free language
- context-sensitive language
- conversational language
- coordinate language
- data definition language
- data description language
- data manipulation language
- data structure language
- database language
- database query language
- declarative language
- declarative markup language
- definitional constraint language
- definitional language
- design language
- device media control language
- digital system design language
- document style semantics and specification language
- domain-specific language
- dynamic hypertext markup language
- dynamic simulation language
- dynamically scoped language
- elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible hypertext markup language
- extensible language
- extensible markup language
- fabricated language
- fifth-generation language
- first-generation language
- formal language
- formalized language
- fourth-generation language
- frame language
- function graph language
- functional language
- functional programming language
- geometrical layout description language
- graphics language
- graph-oriented language
- hardware description language
- Hewlett-Packard graphics language
- Hewlett-Packard printer control language
- high-level language
- high-order language
- host language
- hypersymbol language
- hypertext markup language plus
- hypertext markup language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language
- interactive set language
- intermediate language
- interpreted language
- Java interface definition language
- Java language
- Java programming language
- job control language
- Jules' own version of the international algorithmic language
- knowledge query and manipulation language
- left-associative language
- lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language
- man-machine language
- mathematical markup language
- matrix-based programming language
- meta language
- mnemonic language
- musical language
- my favorite toy language
- native language
- native-mode language
- natural language
- network control language
- network description language
- noninteractive language
- nonprocedural language
- object language
- object-oriented language
- page description language
- parallel object-oriented language
- partial differential equation language
- pattern-matching language
- physical language
- picture query language
- polymorphic language
- portable language
- portable standard language
- practical extraction and report language
- prescriptive language
- print control language
- problem statement language
- problem-oriented language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robotic control language
- robot-level language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language
- second-generation language
- sense language
- server-parsed hypertext markup language
- set language
- sign language
- simulation language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification and assertion language
- specification language
- stack-based language
- standard generalized markup language
- statically scoped language
- stratified language
- stream language
- string-handling language
- string-oriented symbolic language
- string-processing language
- strongly-typed language
- structural design language
- structured query language
- subset language
- symbolic language
- symbolic layout description language
- synchronized multimedia integration language
- target language
- thing language
- third-generation language
- threaded language
- tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language
- very-high-speed integrated circuit hardware description language
- Vienna definition language
- virtual reality modeling language
- visual language
- well-structured programming language
- wireless markup languageThe New English-Russian Dictionary of Radio-electronics > language
-
11 error
1) ошибка; погрешность2) искажение•error in indication — погрешность показания ( прибора); погрешность отсчёта;errors in the same sense — погрешности одного знака;error on the safe side — погрешность в сторону увеличения запаса прочности;to accumulate errors — накапливать погрешности;to combine errors — суммировать погрешности;to compensate error — 1. компенсировать ошибку ( показаний прибора) 2. возд. списывать (устранять) девиацию радиокомпаса;to distribute error of closure — геод. разбрасывать невязку;to hold measurement errors to... — удерживать погрешности измерений в пределах...;to introduce an error — вносить погрешность;to negate errors — исключать погрешности; компенсировать погрешности;to reduce errors — 1. уменьшать (снижать) погрешности 2. приводить погрешности ( к определённым условиям или определённому виду)error of approximation — погрешность приближения, погрешность аппроксимацииerror of closure — геод. невязкаerror or connection — геод. невязкаerror of direction — ошибка в определении направленияerror of division (error of graduation) — погрешность градуировкиerror of indication — погрешность показания ( прибора); погрешность отсчётаerror of observation — 1. погрешность наблюдения; погрешность отсчёта 2. геод. ошибка измерения, ошибка наблюденияerror of omission — 1. пропуск, пробел 2. упущениеerror of position — 1. погрешность в определении положения или местоположения 2. геод. координатная невязкаerror of traverse — геод. линейная невязка-
absolute error
-
acceptable error
-
accidental error
-
accumulated error
-
accumulative error
-
accuracy error
-
across-track error
-
actual error
-
additive error
-
admissible error
-
aggregate error
-
airborne equipment error
-
aliasing error
-
alignment error
-
along-track error
-
altering error
-
altimeter error
-
ambiguity error
-
amplitude error
-
angular error
-
appreciable error
-
approximation error
-
arithmetic error
-
assigned error
-
assumed error
-
azimuth error
-
backlash error
-
base error
-
basic error
-
beam landing error
-
bearing error
-
bias error
-
bias stability error
-
bit error
-
block mean-squared error
-
boresight error
-
burst error
-
calibration error
-
chaining error
-
chip error
-
chroma error
-
closing error
-
closure error in leveling
-
closure error of angles
-
closure error of azimuths
-
closure error
-
collimation error
-
color error
-
color-hue error
-
color-purity error
-
color-registration error
-
combined error
-
common error
-
compass error
-
compass turning error
-
compensating errors
-
complementary error
-
component error
-
composite error
-
composition error
-
computational error
-
computation error
-
computed error
-
concealed error
-
conformity error
-
connection error
-
consistent error
-
constant error
-
contributing error
-
conventional error
-
copying error
-
course error
-
crude error
-
cumulative error
-
cyclic error
-
data error
-
datum error
-
day-to-day error
-
dead-path error
-
delay error
-
detected error
-
digital error
-
displacement error
-
distance error
-
dynamic error
-
dynamic phase error
-
end errors
-
erratic error
-
estimated error
-
estimation error
-
excessive error
-
exposure error
-
extreme error
-
fatal error
-
fixed error
-
flight technical error
-
focusing error
-
focus error
-
folding error
-
following error
-
forecast error
-
form error
-
fractional error
-
frequency error
-
full-scale error
-
gaging error
-
gamma error
-
gang error
-
geometrical error
-
geometric error
-
glide path angular error
-
graduation error
-
gross error
-
group-delay error
-
guidance error
-
guide positional error
-
gyrocompass error
-
hard error
-
hardware error
-
head-penetration error
-
heeling error
-
height-keeping error
-
horizontal phase error
-
hue error
-
human error
-
implementation error
-
inbound error
-
index error
-
indicated displacement error
-
indication error
-
individual error
-
inherent error
-
inherited error
-
initial error
-
input error
-
instrumental error
-
instrument error
-
interference error
-
interlace error
-
interpolation error
-
interval error
-
intolerable error
-
intrinsic error
-
introduced error
-
ionosphere error
-
lead error
-
leveling error
-
limiting error
-
linear error
-
linearity error
-
logical error
-
longitudinal error
-
long-term error
-
machine error
-
marginal error
-
maximum error
-
maximum likely error
-
maximum relative error
-
maximum zero error
-
mean error
-
mean square error
-
measurement error
-
minimum error
-
minimum mean-square error
-
minimum prediction error
-
mismatch error
-
mispositioning error
-
momentary error
-
multiple error
-
navigation error
-
near-extreme error
-
negative error
-
noise error
-
nominal error
-
nonlinear error
-
observation error
-
observed error
-
offset error
-
omission error
-
operator's error
-
optimistic error
-
outbound error
-
output error
-
overall error
-
overlay error
-
parity check error
-
parity error
-
partial error
-
particular error
-
parts-to-platen error
-
patching error
-
path following error
-
peak error
-
peak-to-peak error
-
permissible error
-
personal error
-
pessimistic error
-
phase error
-
pitch error
-
platen-to-machine error
-
pointing error
-
position error
-
position following error
-
positional error
-
positioning error
-
positive error
-
predicted following error
-
prediction error
-
probable error
-
procedural error
-
propagation delay error
-
quadrantal error
-
quadratic phase error
-
quadrature error
-
quantization error
-
radial displacement error
-
radiation error
-
random error
-
range error
-
ratio error
-
reader error
-
reading error
-
reasonable error
-
recoverable error
-
reduced error
-
reference limiting error
-
registration error
-
relative error
-
residual error
-
resistance error
-
resolution error
-
resultant error
-
root-mean-square error
-
rounding error
-
routine/routine interface error
-
run-time error
-
sampling error
-
saturation error
-
scale calibration error
-
scale error
-
scanning error
-
select error
-
sequence error
-
servo excess error
-
servo following error
-
sextant error
-
shade error
-
shading error
-
sighting error
-
significant error
-
single error
-
skew error
-
slide-position error
-
soft error
-
software error
-
speed error
-
sporadic error
-
standard error
-
static error
-
statistical error
-
steady-state error
-
steering error
-
step-up error
-
substitution error
-
superposition error
-
systematic error
-
tape speed errors
-
targeting error
-
temperature error
-
temporary error
-
tilt error
-
time error
-
time-base error
-
tool setting error
-
total error
-
tracking error
-
transfer error
-
transient error
-
true error
-
truncation error
-
typing error
-
typographic error
-
unconcealable error
-
uncorrectable error
-
undetected error
-
unrecoverable error
-
unsuspected error
-
user clock time bias error
-
velocity error
-
vertical phase error
-
voltage error
-
weighted mean error
-
wiring error
-
zero end error
-
zero error
-
zero setting error
-
zero-drift error -
12 signal
сигнал || сигнализировать, подавать сигнал- amplitude signal
- analog signal
- anisochronous digital signal
- asynchronous signal
- backward error signal
- baseband signal
- basic signal
- bidirectional signal
- binary signal
- blocking signal
- burst isochronous signal
- bus available signal
- bus-reply signal
- carry clear signal
- carry complete signal
- carry initiating signal
- carry signal
- clipped signal
- clock signal
- coded signal
- common-mode signal
- communication signal
- control signal
- correcting signal
- cutoff signal
- data-path signal
- data-ready signal
- delayed signal
- derivative signal
- detectable signal
- digital signal
- disconnect signal
- discrete signal
- disturbed naught signal
- disturbed one signal
- disturbed zero signal
- disturbing signal
- duty-cycle signal
- echo signal
- echoed signal
- emergency signal
- enabling signal
- end-of-data signal
- erasure signal
- error location signal
- error signal
- external signal
- false signal
- fault signal
- feedback control signal
- feedback signal
- feedback loop signal
- finite-length signal
- forward error signal
- frequency signal
- gate signal
- gating signal
- go-ahead signal
- good/bad signal
- guard signal
- high-level signal
- impulse-type signal
- impulse signal
- inhibiting signal
- inhibit signal
- in-phase signals
- input signal
- intensity signal
- interrupt signal
- isochronous digital signal
- jump signal
- level signal
- locking signal
- longitudinal output signal
- loop input signal
- monitoring signal
- monitor signal
- multibit signal
- naught signal
- negative-going signal
- noisy signal
- nonprint signal
- off-hook signal
- one signal
- on-off-type signal
- optical signal
- output signal
- output-enable signal
- partial naught signal
- partial one signal
- partial select signal
- partial zero signal
- phasing signal
- pickup signal
- picture signal
- pilot signal
- playback signal
- positive-going signal
- program-interrupt signal
- pulse-type signal
- pulse signal
- quantized signal
- random signal
- rank-ordered signals
- read-back signal
- reading signal
- reference input signal
- refresh signal
- remaining signal
- request signal
- reset signal
- residual signal
- return signal
- ring signal
- seizing signal
- sense signal
- shift-left signal
- shift-right signal
- shutdown signal
- speech signal
- spurious signal
- square wave signal
- square signal
- start signal
- start-dialing signal
- start-of-block signal
- startup signal
- stepwise signal
- stimulus signal
- stopping signal
- stop signal
- supervisory signal
- synchronizing signal
- threshold signal
- timing signal
- transverse output signal
- trigger signal
- trouble signal
- undisturbed naught signal
- undisturbed one signal
- undisturbed zero signal
- valid-data signal
- video signal
- voice signal
- voted signal
- weighted signal
- write signal
- zero signalEnglish-Russian dictionary of computer science and programming > signal
-
13 decency
['diːs(ə)n(t)sɪ]сущ.1) благопристойность, приличие; вежливость, любезностьHe didn't even have the decency to apologize. — Он даже не потрудился извиниться.
If he had to smoke in her flat, he could at least have the decency to empty the ashtray. — Раз уж он курит в её квартире, он мог бы по крайней мере выбросить окурки из пепельницы.
Syn:2) ( the decencies) правила хорошего тонаcommon / basic decencies — общепринятые правила хорошего тона
См. также в других словарях:
Common Sense Realism — or Scottish Common Sense Realism is a school of philosophy that originated in the ideas of Scottish philosophers Thomas Reid, Adam Ferguson and Dugald Stewart during the 18th century Scottish Enlightenment. Contents 1 Teachings 2 Influence 2.1 … Wikipedia
Common sense — This article is about the concept of the phrase. For the American revolutionary war pamphlet by Thomas Paine, see Common Sense (pamphlet). For other uses, see Common sense (disambiguation). Common sense is defined by Merriam Webster as, sound and … Wikipedia
common sense — noun Ordinary sensible understanding; ones basic intelligence which allows for plain understanding and without which good decisions or judgments cannot be made. This common sense is the judge or moderator of the rest, by whom we discern all… … Wiktionary
Common Good(organization) — Common Good is a nonprofit organization in the United States that advocates a basic shift in legal structures to restore common sense to American law. In June 2008, the organization, founded in 2002 by Philip K. Howard, a lawyer and author of The … Wikipedia
horse sense — Basic common sense … A concise dictionary of English slang
common law — 1. the system of law originating in England, as distinct from the civil or Roman law and the canon or ecclesiastical law. 2. the unwritten law, esp. of England, based on custom or court decision, as distinct from statute law. 3. the law… … Universalium
sense — {{Roman}}I.{{/Roman}} noun 1 sight, hearing, etc. ADJECTIVE ▪ acute, developed, good, keen ▪ Raccoons have a highly developed sense of touch. ▪ poor ▪ … Collocations dictionary
Common Core State Standards Initiative — The Common Core State Standards Initiative is a U.S. education initiative that seeks to bring diverse state curricula into alignment with each other by following the principles of standards based education reform. The initiative is sponsored by… … Wikipedia
Common heritage of mankind — Earthrise from the Moon during Apollo 8 mission, 1968. Article 11 of the Moon Treaty declares the Moon and its natural resources the common heritage of mankind. Common heritage of mankind (also termed the common heritage of humanity, common… … Wikipedia
Common Good — For the general concept, see common good. For the economic meaning of common good, see common good (economics). For other uses, see Common Good (disambiguation). Common Good is a nonprofit organization in the United States that advocates a basic… … Wikipedia
sense — 1 /sens/ noun JUDGMENT/UNDERSTANDING 1 (U) good understanding and judgment, especially about practical things: have the sense to do sth: You should have had the sense to turn off the electricity before touching the wires. see also: common sense 2 … Longman dictionary of contemporary English