-
1 mathematical structure
Большой англо-русский и русско-английский словарь > mathematical structure
-
2 mathematical structure
Математика: математическая структураУниверсальный англо-русский словарь > mathematical structure
-
3 mathematical structure
English-Russian scientific dictionary > mathematical structure
-
4 mathematical structure
Англо-русский словарь по исследованиям и ноу-хау > mathematical structure
-
5 logical-and-mathematical structure
Англо-русский словарь по исследованиям и ноу-хау > logical-and-mathematical structure
-
6 structure
1) конструкция; строение; структура || структурировать2) сооружение, здание; строительная конструкция3) состав4) текстура5) геол. формация•- finitely generated structure - fish protection structure - locally convex structure - recursively presentable structure - redundant logical structure - strictly finer structure - strongly undecidable structure - weakly saturated structure -
7 математическая структура
Русско-английский научно-технический словарь Масловского > математическая структура
-
8 Mathematics
The world of mathematics, which you contemn, is really a beautiful world; it has nothing to do with life and death and human sordidness, but is eternal, cold and passionless. To me pure mathematics is one of the highest forms of art; it has a sublimity quite special to itself, and an immense dignity derived from the fact that its world is exempt from change and time. I am quite serious in this....athematics is the only thing we know of that is capable of perfection; in thinking about it we become Gods. (Russell [to Helen Thomas, 30 December 1901], 1992, Letter No. 98, p. 224)One of the deepest problems of nature is the success of mathematics as a language for describing and discovering features of physical reality. In short, why does mathematics work?...We humans have stripped back the clouds that cloak our understanding of our cosmic beginning and our current persistence to the stage that exposes the mathematical structure of the world more clearly than it has ever been observed before.... Furthermore, the attention of seriously equipped thinkers, those thinkers we call scientists, is at last beginning to turn to that other great conundrum of being: consciousness.... If we can understand why that supreme construct of the human intellect, that archdisembodiment of intellect, mathematics, works as a description of the world, then maybe we shall have an insight into cognition....The name deep structuralism is intended to convey the idea that the physical world has the same logical structure as mathematics. By implication, the reason why mathematics works as a description of physical reality is that they share the same logical structure.... By weak deep structuralism I shall mean that mathematics and physical reality merely share the same logical structure and mathematics is a mirror that can be held up to nature. By strong deep structuralism I shall mean that mathematics and physical reality do not merely share the same logical structure but are actually the same. In other words, according to the hypothesis of strong deep structuralism, physical reality is mathematics and mathematics is physical reality.... The reason why we may be conscious of the world, including the inner, introspective world of emotion and intellect, may be that our brains are material portrayals of the same deep structure. That may also be the reason why brains can generate the mathematics that we need to comprehend the world. (Atkins, 1992, pp. 99-101, 109-111)Historical dictionary of quotations in cognitive science > Mathematics
-
9 математическая структура
Большой англо-русский и русско-английский словарь > математическая структура
-
10 математическая структура
Mathematics: mathematical structureУниверсальный русско-английский словарь > математическая структура
-
11 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
-
12 error
m.1 mistake, error.cometer un error to make a mistakeestar en un error to be mistakenpor error by mistakesalvo error u omisión errors and omissions exceptederror de bulto huge o big mistakeerror de cálculo miscalculationerror humano human errorerror de imprenta misprinterror judicial miscarriage of justice2 delusion, false impression.3 lapsus.* * *1 error, mistake\caer en un error to make a mistakeestar en un error to be mistakenpor error by mistake, in errorerror de imprenta misprinterror judicial miscarriage of justice* * *noun m.error, mistake* * *SM mistake, error más frm•
caer en un error — to make a mistakesi piensas que lo hizo por tu bien, estás cayendo en un error — if you think that he did it for your good you're making a mistake
•
cometer un error — to make a mistake•
estar en un error — to be mistaken, be wrongestás en un error si piensas que voy a transigir — you're mistaken o wrong if you think that I'll give in
•
inducir a error — to be misleading•
por error — by mistakeerror de hecho — factual error, error of fact
* * *masculino mistakecometer un error — to make a mistake o an error
craso error! — (that was a) big o bad mistake!
estás en un error — you're wrong o mistaken
¿quién lo va a sacar de su error? — who's going to put him right?
salvo error u omisión — (fr hecha) errors and omissions excepted
por error — by mistake, in error (frml)
* * *= error, failure, fault, mistake, pitfall, bug, stumble, delusion, goof, blooper, bobble.Ex. Computers are reliable, and less prone to error provided they are instructed or programmed appropriately and correctly.Ex. DBMS systems aim to cope with system failure and generate restart procedures.Ex. Documents and information can be lost forever by faults in inputting.Ex. A mistake, say, in trasncribing Fergusson as Ferguson may cause some problems, copying Davinson as Davison will cause even more!.Ex. Nevertheless, it is worth drawing a comparison between them so that menu-based information retrieval systems might avoid some of the pitfalls of traditional classification.Ex. A bug is an error in a program or an equipment malfunction.Ex. His stumbles and missed opportunities were made up for by his signing of the agreement in 1990.Ex. The article 'Illusions, delusions, conclusions' reminds searchers that the most important issue when looking at search results is to make sure that all information is reliable and true.Ex. The film's supple structure, surprisingly light touch, and bravura performances make it perhaps the most fully formed, half-hearted goof ever.Ex. Throughout the year we collect bloopers, funny things that happen while we are producing the program.Ex. Gary's back pass took a bobble from a divot and in that moment Robinson suddenly found himself the subject of ridicule.----* a base de cometer errores = the hard way.* a base de errores = the hard way.* a fuerza de cometer errores = the hard way.* a fuerza de errores = the hard way.* análisis de errores = error analysis.* aprender a fuerza de errores = learn by + trial and error.* aprender Algo a base de cometer errores = learn + Nombre + the hard way.* aprender Algo a fuerza de errores = learn + Nombre + the hard way.* aprender de errores = learn from + errors.* aprender por el método de ensayo y error = learn by + trial and error.* caer en el error de = fall into + the error of, blunder into.* cometer el error de = fall into + the error of, blunder into.* cometer errores por despiste = bump into + lampposts.* cometer un error = commit + error, make + mistake, make + error, be caught out, slip up.* cometer un error garrafal = commit + blunder, make + a bloomer, make + a blunder, drop + a clanger, drop + a bollock, blunder.* con errores = flawed.* con errores gramaticales = grammatically challenged, grammatically incorrect.* corregir errores = debug.* corregir un error = correct + error, amend + mistake, correct + a wrong, correct + Posesivo + mistake.* deshacer los errores cometidos = turn + the clock back.* detección de errores = error identification.* detectar un error = detect + error, spot + mistake, spot + error.* eliminar un error = remove + error.* error administrativo = clerical mistake, clerical error.* error craso = gross mistake, crass mistake, crass error, blunder, monumental mistake, monumental error.* error de cálculo = miscalculation, mathematical mistake, mathematical error, calculation error, calculation mistake.* error de communicación = miscommunication.* error de contenido = factual error.* error de copia = clerical error, clerical mistake.* error de diagnóstico = misdiagnosis [misdiagnoses, -pl.].* error de entendimiento = misunderstanding.* error de escritura = mistyping.* error de estilo = stylistic error.* error de juicio = misunderstanding, error of judgement.* error de la muestra = sampling error.* error de la naturaleza = freak of nature.* error de lectura = misreading.* error del original = sic, sic.* error de medición = error of measurement.* error de muestreo = sampling error.* error de percepción = misperception.* error de probabilidad = probability of error.* error de pronunciación = mispronunciation.* error de transposición = transposition error.* errores = floundering.* error estilístico = stylistic error.* error fatal = fatal mistake.* error garrafal = blunder, cock-up, crass mistake, crass error, gross mistake, monumental mistake, monumental error, clanger.* error gramatical = grammatical error.* error humano = human error.* error matemático = mathematical mistake, mathematical error.* error mecánico = machine error.* error mecanográfico = keying error.* error óptico = optical error.* error ortográfico = misspelling [mis-spelling], orthographic error, spelling mistake, spelling error.* error por omisión = omission failure.* error tipográfico = typing error, typing mistake, typographical error, typographical mistake, typo.* evitar un error = avoid + error.* gramática con errores = poor grammar.* identificación de errores = error identification.* lista de errores = error report.* lleno de errores = buggy [buggier -comp., buggiest -sup.].* margen de error = margin of error.* mensaje de error = error message.* no tener errores = be error-free.* nótese el error = sic.* patrón de errores = error pattern.* plagado de errores = buggy [buggier -comp., buggiest -sup.].* plagar de errores = litter with + failure.* por el método de ensayo y error = by trial and error, trial and error.* por error = by mistake.* propenso a errores = error prone, prone to error.* rectificar un error = rectify + failure.* sin errores = error-free.* subsanar un error = extirpate + error.* sujeto a errores = prone to error.* susceptible de error = susceptible to error, susceptible to mistake.* tasa de error = error rate.* tener errores = be flawed.* tolerancia al error = error tolerance, fault tolerance.* tolerante al error = fault tolerant, error tolerant.* * *masculino mistakecometer un error — to make a mistake o an error
craso error! — (that was a) big o bad mistake!
estás en un error — you're wrong o mistaken
¿quién lo va a sacar de su error? — who's going to put him right?
salvo error u omisión — (fr hecha) errors and omissions excepted
por error — by mistake, in error (frml)
* * *= error, failure, fault, mistake, pitfall, bug, stumble, delusion, goof, blooper, bobble.Ex: Computers are reliable, and less prone to error provided they are instructed or programmed appropriately and correctly.
Ex: DBMS systems aim to cope with system failure and generate restart procedures.Ex: Documents and information can be lost forever by faults in inputting.Ex: A mistake, say, in trasncribing Fergusson as Ferguson may cause some problems, copying Davinson as Davison will cause even more!.Ex: Nevertheless, it is worth drawing a comparison between them so that menu-based information retrieval systems might avoid some of the pitfalls of traditional classification.Ex: A bug is an error in a program or an equipment malfunction.Ex: His stumbles and missed opportunities were made up for by his signing of the agreement in 1990.Ex: The article 'Illusions, delusions, conclusions' reminds searchers that the most important issue when looking at search results is to make sure that all information is reliable and true.Ex: The film's supple structure, surprisingly light touch, and bravura performances make it perhaps the most fully formed, half-hearted goof ever.Ex: Throughout the year we collect bloopers, funny things that happen while we are producing the program.Ex: Gary's back pass took a bobble from a divot and in that moment Robinson suddenly found himself the subject of ridicule.* a base de cometer errores = the hard way.* a base de errores = the hard way.* a fuerza de cometer errores = the hard way.* a fuerza de errores = the hard way.* análisis de errores = error analysis.* aprender a fuerza de errores = learn by + trial and error.* aprender Algo a base de cometer errores = learn + Nombre + the hard way.* aprender Algo a fuerza de errores = learn + Nombre + the hard way.* aprender de errores = learn from + errors.* aprender por el método de ensayo y error = learn by + trial and error.* caer en el error de = fall into + the error of, blunder into.* cometer el error de = fall into + the error of, blunder into.* cometer errores por despiste = bump into + lampposts.* cometer un error = commit + error, make + mistake, make + error, be caught out, slip up.* cometer un error garrafal = commit + blunder, make + a bloomer, make + a blunder, drop + a clanger, drop + a bollock, blunder.* con errores = flawed.* con errores gramaticales = grammatically challenged, grammatically incorrect.* corregir errores = debug.* corregir un error = correct + error, amend + mistake, correct + a wrong, correct + Posesivo + mistake.* deshacer los errores cometidos = turn + the clock back.* detección de errores = error identification.* detectar un error = detect + error, spot + mistake, spot + error.* eliminar un error = remove + error.* error administrativo = clerical mistake, clerical error.* error craso = gross mistake, crass mistake, crass error, blunder, monumental mistake, monumental error.* error de cálculo = miscalculation, mathematical mistake, mathematical error, calculation error, calculation mistake.* error de communicación = miscommunication.* error de contenido = factual error.* error de copia = clerical error, clerical mistake.* error de diagnóstico = misdiagnosis [misdiagnoses, -pl.].* error de entendimiento = misunderstanding.* error de escritura = mistyping.* error de estilo = stylistic error.* error de juicio = misunderstanding, error of judgement.* error de la muestra = sampling error.* error de la naturaleza = freak of nature.* error de lectura = misreading.* error del original = sic, sic.* error de medición = error of measurement.* error de muestreo = sampling error.* error de percepción = misperception.* error de probabilidad = probability of error.* error de pronunciación = mispronunciation.* error de transposición = transposition error.* errores = floundering.* error estilístico = stylistic error.* error fatal = fatal mistake.* error garrafal = blunder, cock-up, crass mistake, crass error, gross mistake, monumental mistake, monumental error, clanger.* error gramatical = grammatical error.* error humano = human error.* error matemático = mathematical mistake, mathematical error.* error mecánico = machine error.* error mecanográfico = keying error.* error óptico = optical error.* error ortográfico = misspelling [mis-spelling], orthographic error, spelling mistake, spelling error.* error por omisión = omission failure.* error tipográfico = typing error, typing mistake, typographical error, typographical mistake, typo.* evitar un error = avoid + error.* gramática con errores = poor grammar.* identificación de errores = error identification.* lista de errores = error report.* lleno de errores = buggy [buggier -comp., buggiest -sup.].* margen de error = margin of error.* mensaje de error = error message.* no tener errores = be error-free.* nótese el error = sic.* patrón de errores = error pattern.* plagado de errores = buggy [buggier -comp., buggiest -sup.].* plagar de errores = litter with + failure.* por el método de ensayo y error = by trial and error, trial and error.* por error = by mistake.* propenso a errores = error prone, prone to error.* rectificar un error = rectify + failure.* sin errores = error-free.* subsanar un error = extirpate + error.* sujeto a errores = prone to error.* susceptible de error = susceptible to error, susceptible to mistake.* tasa de error = error rate.* tener errores = be flawed.* tolerancia al error = error tolerance, fault tolerance.* tolerante al error = fault tolerant, error tolerant.* * *mistakefue un error decírselo it was a mistake to tell himcometió varios errores importantes she made several serious mistakes o errorsfirmé el documento — ¡craso error! I signed the document — (that was a) big o bad mistake!estás en un error you're wrong o mistaken¿quién lo va a sacar de su error? who's going to put him right? o ( BrE) set him straight?un grave error de cálculo a serious miscalculationun error de ortografía a spelling mistakesalvo error u omisión ( fr hecha); errors and omissions exceptedCompuestos:absolute errorrandom errorlegal errorfactual errormisprint, printer's errorsystem errorrelative errorsyntax error* * *
error sustantivo masculino
mistake;◊ cometer un error to make a mistake o an error;
error de ortografía spelling mistake;
error de cálculo miscalculation;
error de imprenta misprint, printer's error;
por error by mistake, in error (frml)
error sustantivo masculino
1 error, mistake
cometimos el error de escucharle, we made the mistake of listening to him
inducir a error, to lead into error
2 (de un cálculo) error
3 (fallo técnico) error: se lo enviamos por error, we sent it to him by mistake
Impr error de imprenta/ tipográfico, misprint
En general, mistake se refiere a errores causados por falta de conocimiento, capacidad o comprensión, mientras que error describe más bien errores causados por fallos en la producción o mal comportamiento. A menudo, la diferencia es mínima y se puede usar cualquiera de los dos términos: Cometió un error y fue a la cárcel. He made a mistake and went to prison. El accidente se debió a un error humano. The accident was due to human error.
' error' also found in these entries:
Spanish:
aberración
- bestial
- bestialidad
- bulto
- columpiarse
- cometer
- confusión
- desacierto
- desatino
- desliz
- despiste
- enmendar
- enorme
- equivocación
- equivocarse
- falla
- fallo
- fatal
- garrafal
- gazapo
- guardagujas
- incidir
- incorrección
- incurrir
- lectura
- novatada
- originar
- patinazo
- reconocer
- rectificar
- reparar
- responder
- subsanar
- tipográfica
- tipográfico
- traspié
- vista
- yerro
- caer
- cálculo
- calibre
- caro
- clásico
- confesar
- confundir
- corriente
- costoso
- creces
- descuido
- desengañar
English:
allow for
- amend
- blunder
- bug
- commission
- commit
- crass
- deny
- error
- expensive
- fault
- faux pas
- goof
- grievous
- judgement
- judgment
- justice
- lapse
- make
- margin
- message
- miscalculation
- miscarriage
- misprint
- mistake
- prove
- retrieval
- right
- slip
- spelling error
- trial
- wrong
- admit
- cost
- cover
- delusion
- detection
- disabuse
- flaw
- fundamental
- genuine
- glaring
- grave
- misconception
- mislead
- pay
- same
- spelling
- spot
- typing
* * *error nm1. [falta, equivocación] mistake, error;fue un error invitarla a la fiesta it was a mistake to invite her to the party;debe de haber un error there must be a mistake;cometer un error to make a mistake;estar en un error to be mistaken;por error by mistake;me enviaron la carta por error they sent me the letter by mistake;salvo error u omisión errors and omissions exceptederror absoluto absolute error;error de bulto huge o big mistake;error de cálculo miscalculation;error de copia clerical error;error no forzado [en tenis] unforced error;error humano human error;error de imprenta misprint;error judicial miscarriage of justice;error mecanográfico typing error;error de muestreo sampling error;error relativo relative error;Informát error de sintaxis syntax error; Informát error del sistema system error;error típico standard error;error tipográfico typo, typographical error;error de traducción translation error* * *m mistake, error;por error by mistake;caer en un error make a mistake;estar en un error be wrong o mistaken* * *error nmequivocación: error, mistake* * *error n mistake / error -
13 AMS
1) Общая лексика: aggregate measure of support, Служба маркетинга сельскохозяйственной продукции ( министерства сельского хозяйства США), Служба содействия сбыту сельскохозяйственной продукции (Lavrov)2) Компьютерная техника: Access Method Services, Associative Memory System3) Авиация: Aircraft Malfunction System, Aircratf Modification Status4) Медицина: acute mountain sickness, atypical measles syndrome5) Американизм: Award Management System6) Военный термин: Advanced Mapping Spectrometer, Anti Missile System, Archdiocese for the Military Services, Army Management School, Army Management Structure, Army Map Service, Army Medical Service, Army medical staff, Artillery and Missile School, Auto-Manual System, Autodin Mail Server, Automated Message System, Automated Meteorological System, Autonomous Message Switch, a minehunting sonar, actual military service, actuation mine simulator, advanced monopulse seeker, aeromechanics school, aeromobile service, aeronautical material specification, aeronautical material specification AMRSA, Army Materiel Readiness Support Activity, aeronautical material standards, air missile system, air movements section, aircraft mission system, alarm monitoring system, antenna mast sets, armament management system, artillery meteorological station, authority for material substitution, automated minefield system, automatic meteorological system, avionics maintenance squadron, артиллерийская метеорологическая станция7) Техника: Allegations Management System, acoustic measurement system, aerial monitoring system, aeronautical mobile service, altitude measurement system, amplifier subsystem, automatic monitoring system, auxiliary memory set8) Химия: Aerospace Material Specification9) Математика: Американское математическое общество (American Mathematical Society), среднее значение среднего квадрата (average mean square)10) Австралийский сленг: Aboriginal Medical Service11) Ветеринария: Australian Mammal Society12) Грубое выражение: American Made Shit13) Металлургия: Aircraft Material Specifications14) Телекоммуникации: Analog And Mixed Signal15) Сокращение: Academy of Military Science (USA), Acoustic Mine Sweep, Address Management System, Advanced Machining System, Advanced Missile System (US Navy), Aerospace Materials Specification (USA), Air Mail Service, Air Maintenance Squadron (USA), Aircraft Management System, Airspace Management Systems SA/NV (Belgium), Alternate Mailing Systems, American Material Standard, American Mathematical Society, American Meteorological Society, Analog/Mixed Signal, Apogee & Manoeuvring Stage, Appareillages et Materiels de Servitudes SA (France), Armoured Mortar System (UK), Army Map Service (US Army), Army Medical Services (UK), Artillery Meteorological System (Italy), Audio Monitoring System, Automated Management System, Automated Materiel System (USA), Automated Message Switch, Automatic Marking System, Autonomes Marine System, Auxiliary Minesweeper, Avionics Maintenance Squadron (USAF), Avionics Management System, Agricultural Marketing Service, Automated Manifest System, Advanced Memory System16) Университет: Academic Monitoring System, Association Of Malaysian Students17) Физика: акселераторная (тж. ускорительная) масс-спектрометрия (Accelerator Mass Spectrometry( метод радиоуглеродного датирования))18) Физиология: Active Mountain Sickness, Amylase, Anatomical Molding System19) Электроника: Automatic Music Sensor20) Вычислительная техника: Asymmetric Multiprocessing System, Обслуживание и Поддержка приложения ( Application Maintenance and Support), AUTODIN Mail Server (AUTODIN, Mil., USA), Advanced Monitor System (OS, DEC, PDP 9, PDP 15), Andrew Mail / Message System (Unix), American Mathematical Society (organization, USA)21) Банковское дело: Cистема управления счетами (Account Management System)22) Транспорт: отделение SAE, занимающееся снабженческой деятельностью23) Фирменный знак: America Media Systems, American Musical Supply, Automated Machine Systems25) Деловая лексика: Accreditation Of Manufacturing Staff, Automated Marketing Strategies, Automatic Order Matching and Execution System26) Глоссарий компании Сахалин Энерджи: вспомогательный измерительный зонд (Auxiliary Measurement Sonde)27) Почта: Alternate Mailing System (=) дополнительная ( или) альтернативная почтовая система, Alternate Mailing System28) Сетевые технологии: Administration and Management Services, Automated Mail Systems, службы сетевого администрирования и управления29) Полимеры: Aeronautical Materials Specifications, Aerospace Materials Specifications, Aircraft Materials Specifications30) Автоматика: articulated mechanical structure, automated mechanical structure31) Контроль качества: aeronautical material specifications32) Сахалин Р: Asset Management System, Auxiliary Measurement Sonde33) Сахалин Ю: auxiliary measurement tool34) Расширение файла: Adobe Monitor Setup calibration file (Adobe PhotoShop)35) Уровнеметрия: Asset Management Solutions36) Аэропорты: Amsterdam, Netherlands37) НАСА: Automatic Maintenance Scheduler38) Программное обеспечение: Advanced Mathematics Software39) AMEX. American Shared Hospital Services -
14 ams
1) Общая лексика: aggregate measure of support, Служба маркетинга сельскохозяйственной продукции ( министерства сельского хозяйства США), Служба содействия сбыту сельскохозяйственной продукции (Lavrov)2) Компьютерная техника: Access Method Services, Associative Memory System3) Авиация: Aircraft Malfunction System, Aircratf Modification Status4) Медицина: acute mountain sickness, atypical measles syndrome5) Американизм: Award Management System6) Военный термин: Advanced Mapping Spectrometer, Anti Missile System, Archdiocese for the Military Services, Army Management School, Army Management Structure, Army Map Service, Army Medical Service, Army medical staff, Artillery and Missile School, Auto-Manual System, Autodin Mail Server, Automated Message System, Automated Meteorological System, Autonomous Message Switch, a minehunting sonar, actual military service, actuation mine simulator, advanced monopulse seeker, aeromechanics school, aeromobile service, aeronautical material specification, aeronautical material specification AMRSA, Army Materiel Readiness Support Activity, aeronautical material standards, air missile system, air movements section, aircraft mission system, alarm monitoring system, antenna mast sets, armament management system, artillery meteorological station, authority for material substitution, automated minefield system, automatic meteorological system, avionics maintenance squadron, артиллерийская метеорологическая станция7) Техника: Allegations Management System, acoustic measurement system, aerial monitoring system, aeronautical mobile service, altitude measurement system, amplifier subsystem, automatic monitoring system, auxiliary memory set8) Химия: Aerospace Material Specification9) Математика: Американское математическое общество (American Mathematical Society), среднее значение среднего квадрата (average mean square)10) Австралийский сленг: Aboriginal Medical Service11) Ветеринария: Australian Mammal Society12) Грубое выражение: American Made Shit13) Металлургия: Aircraft Material Specifications14) Телекоммуникации: Analog And Mixed Signal15) Сокращение: Academy of Military Science (USA), Acoustic Mine Sweep, Address Management System, Advanced Machining System, Advanced Missile System (US Navy), Aerospace Materials Specification (USA), Air Mail Service, Air Maintenance Squadron (USA), Aircraft Management System, Airspace Management Systems SA/NV (Belgium), Alternate Mailing Systems, American Material Standard, American Mathematical Society, American Meteorological Society, Analog/Mixed Signal, Apogee & Manoeuvring Stage, Appareillages et Materiels de Servitudes SA (France), Armoured Mortar System (UK), Army Map Service (US Army), Army Medical Services (UK), Artillery Meteorological System (Italy), Audio Monitoring System, Automated Management System, Automated Materiel System (USA), Automated Message Switch, Automatic Marking System, Autonomes Marine System, Auxiliary Minesweeper, Avionics Maintenance Squadron (USAF), Avionics Management System, Agricultural Marketing Service, Automated Manifest System, Advanced Memory System16) Университет: Academic Monitoring System, Association Of Malaysian Students17) Физика: акселераторная (тж. ускорительная) масс-спектрометрия (Accelerator Mass Spectrometry( метод радиоуглеродного датирования))18) Физиология: Active Mountain Sickness, Amylase, Anatomical Molding System19) Электроника: Automatic Music Sensor20) Вычислительная техника: Asymmetric Multiprocessing System, Обслуживание и Поддержка приложения ( Application Maintenance and Support), AUTODIN Mail Server (AUTODIN, Mil., USA), Advanced Monitor System (OS, DEC, PDP 9, PDP 15), Andrew Mail / Message System (Unix), American Mathematical Society (organization, USA)21) Банковское дело: Cистема управления счетами (Account Management System)22) Транспорт: отделение SAE, занимающееся снабженческой деятельностью23) Фирменный знак: America Media Systems, American Musical Supply, Automated Machine Systems25) Деловая лексика: Accreditation Of Manufacturing Staff, Automated Marketing Strategies, Automatic Order Matching and Execution System26) Глоссарий компании Сахалин Энерджи: вспомогательный измерительный зонд (Auxiliary Measurement Sonde)27) Почта: Alternate Mailing System (=) дополнительная ( или) альтернативная почтовая система, Alternate Mailing System28) Сетевые технологии: Administration and Management Services, Automated Mail Systems, службы сетевого администрирования и управления29) Полимеры: Aeronautical Materials Specifications, Aerospace Materials Specifications, Aircraft Materials Specifications30) Автоматика: articulated mechanical structure, automated mechanical structure31) Контроль качества: aeronautical material specifications32) Сахалин Р: Asset Management System, Auxiliary Measurement Sonde33) Сахалин Ю: auxiliary measurement tool34) Расширение файла: Adobe Monitor Setup calibration file (Adobe PhotoShop)35) Уровнеметрия: Asset Management Solutions36) Аэропорты: Amsterdam, Netherlands37) НАСА: Automatic Maintenance Scheduler38) Программное обеспечение: Advanced Mathematics Software39) AMEX. American Shared Hospital Services -
15 seguir
v.1 to follow.tú ve delante, que yo te sigo you go ahead, I'll follow o I'll go behindseguir algo de cerca to follow o monitor something closely (desarrollo, resultados)Ellos siguen la caravana They follow the convoy.Eso es lo que sigue That is what follows.2 to follow.me parece que nos siguen I think we're being followed3 to continue, to resume.Me sigue el dolor My pain persists.4 to continue, to go on.¡sigue, no te pares! go o carry on, don't stop!aquí se baja él, yo sigo he's getting out here, I'm going on (al taxista)sigo trabajando en la fábrica I'm still working at the factorydebes seguir haciéndolo you should keep on o carry on doing itsigo pensando que está mal I still think it's wrongsigue enferma/en el hospital she's still ill/in hospital¿qué tal sigue la familia? how's the family getting on o keeping?5 to keep on, to go along, to carry on, to continue.María se sigue haciendo daño Mary keeps on hurting herself.6 to continue to be, to continue being, to keep, to keep being.Las chicas siguen testarudas The girls continue to be stubborn.7 to obey, to keep.Las chicas siguen las reglas The girls obey the rules.8 to imitate, to follow.Los fanáticos siguen al cantante The fans imitate the singer.9 to come afterwards, to come next, to come after, to come along.Algo bueno sigue Something good comes afterwards.* * *(e changes to i in certain persons of certain tenses; gu changes to g before a and o)Present IndicativePast IndicativePresent SubjunctiveImperfect SubjunctiveFuture SubjunctiveImperative* * *verb1) to follow2) keep on3) pursue4) remain* * *1. VT1) (=perseguir) [+ persona, pista] to follow; [+ indicio] to follow up; [+ presa] to chase, pursueella llegó primero, seguida del embajador — she arrived first, followed by the ambassador
2) (=estar atento a) [+ programa de TV] to watch, follow; [+ programa de radio] to listen to, follow; [+ proceso, progreso] to monitor, follow up; [+ satélite] to trackesta exposición permite seguir paso a paso la evolución del artista — this exhibition allows the artist's development to be traced step by step
3) (=hacer caso de) [+ consejo] to follow, take; [+ instrucciones, doctrina, líder] to follow4) [+ rumbo, dirección] to followsiga esta calle y al final gire a la derecha — carry on up o follow this street and turn right at the end
•
seguir su curso, el proyecto sigue su curso — the project is still on course, the project continues on (its) coursela enfermedad sigue su curso — the illness is taking o running its course
5) (=entender) [+ razonamiento] to follow¿me sigues? — are you with me?
6) (Educ) [+ curso] to take, do7) † [+ mujer] to court †2. VI1) (=continuar) to go on, carry on¿quieres que sigamos? — shall we go on?
¡siga! — (=hable) go on!, carry on; LAm (=pase) come in
¡síguele! — Méx go on!
"sigue" — [en carta] P.T.O.; [en libro] continued
2)adelante 1)los Juegos Olímpicos siguieron (adelante) a pesar del atentado — the Olympics went ahead despite the attack
3) [en estado, situación] to be still¿cómo sigue? — how is he?
que siga usted bien — keep well, look after yourself
•
seguimos sin teléfono — we still haven't got a phone4)• seguir haciendo algo — to go on doing sth, carry on doing sth
siguió mirándola — he went on o carried on looking at her
el ordenador seguía funcionando — the computer carried on working, the computer was still working
5) (=venir a continuación) to follow, follow onentre otros ejemplos destacan los que siguen — amongst other examples, the following stand out
•
seguir a algo, las horas que siguieron a la tragedia — the hours following o that followed the tragedy3.See:* * *1.verbo transitivo1) <persona/vehículo/presa> to followcamina muy rápido, no la puedo seguir — she walks very fast, I can't keep up with her
seguidos cada vez más de cerca por los japoneses — with the Japanese catching up on them all the time
el que la sigue la consigue — (fam) if at first you don't succeed, try, try again
2) <camino/ruta>siga esta carretera hasta llegar al puente — go along o follow this road as far as the bridge
3) ( en el tiempo) to followseguir a algo/alguien — to follow something/somebody
4)a) <instrucciones/consejo/flecha> to followb) ( basarse en) <autor/teoría/método/tradición> to follow5)a) <trámite/procedimiento> to followb) (Educ) < curso> to takeestoy siguiendo un curso de fotografía — I'm doing o taking a photography course
6)a) <explicaciones/profesor> to followdicta demasiado rápido, no la puedo seguir — she dictates too quickly, I can't keep up
¿me siguen? — are you with me?
b) ( permanecer atento a)2.no sigo ese programa — I don't watch that program, I'm not following that program
seguir vi1)a) ( por un camino) to go onsiga derecho or todo recto hasta el final de la calle — keep o go straight on to the end of the street
seguir de largo — (AmL) to go straight past
b)c) (Col, Ven) ( entrar)siga por favor — come in, please
2) (en lugar, estado)¿tus padres siguen en Ginebra? — are your parents still in Geneva?
sigue soltera/tan bonita como siempre — she's still single/as pretty as ever
si las cosas siguen así... — if things carry on like this...
si sigue así de trabajador, llegará lejos — if he carries on working as hard as this, he'll go a long way
3)a) tareas/buen tiempo/lluvia to continue; rumores to persistb)seguir + ger: sigo pensando que deberíamos haber ido I still think we ought to have gone; sigue leyendo tú you read now; seguiré haciéndolo a mi manera — I'll go on o carry on doing it my way, I shall continue to do it my way (frml)
4)a) (venir después, estar contiguo)un período de calma ha seguido a estos enfrentamientos — these clashes have been followed by a period of calm
b) historia/poema to continue3.¿cómo sigue la canción? — how does the song go on?
seguirse v pron (en 3a pers)de esto se sigue que... — it follows from this that...
* * *= accord with, adhere to, chase, conform to, espouse, fit, follow, keep to, observe, pursue, run along, stay, stick to, proceed, overlay, carry on, go ahead, soldier on, succeed, hew to, overlie, keep up, roll on.Ex. So while that tracing may have accorded with a rule, it violated common sense.Ex. Since BC adheres closely to the educational and scientific consensus, BC found most favour with libraries in educational establishments.Ex. Also, in controlled indexing language data bases, there is often an assumption that a user will be prepared to chase strings of references or to consult a sometimes complex thesaurus.Ex. These basic permutation rules are modified somewhat to conform to bibliographic requirements.Ex. Most respondents espoused the latter view as an appropriate response to IT developments to date.Ex. Especially if the new subject is one which upsets the previous structure of relationships, it will be difficult to fit into the existing order.Ex. An abstract covers all of the main points made in the original document, and usually follows the style and arrangement of the parent document.Ex. Obviously, once a choice of citation order has been made it must be kept to, otherwise, chaos will result.Ex. It is worth briefly observing a general approach to the creation of a data base.Ex. All effective indexes must have some common facets if only because the audience does not alter merely because the indexer chooses to pursue certain indexing practices.Ex. Whevener logical processes of thought are employed - that is, whenever thought for a time runs along an accepted groove - there is an opportunity for the machine.Ex. What is possibly less easy is to making sure that the guiding stays clean, neat and accurate.Ex. It might be striking to outline the instrumentalities of the future more spectacularly, rather than to stick closely to methods and elements now known.Ex. Before we proceed to look at the operators in detail, a couple of examples may help to make the layout clearer.Ex. There may be a very flexible communication system that overlays the administrative structure, or there may be a fairly rigid pattern of communication that adheres to the administrative lines of authority.Ex. If a child detects that no very strong value is placed on reading then he feels no compulsion to develop his own reading skill beyond the minimal, functional level we all need simply to carry on our daily lives in our print-dominated society.Ex. A plan for the construction and implementation phases will be drawn up, if it is decided to go ahead = Si se decide continuar, se elaborará un plan para las fases de construcción y puesta en práctica.Ex. Russell soldiered on in 'Principles of Mathematics', he pleaded a distinction between analysis by way of philosophical definitions and analysis by way of mathematical definitions.Ex. In 1964 he was promoted to Associate Director of the Processing Department where he succeeded John Cronin as Director four years later.Ex. The structure adopted hews to the theoretical model of the resilient organization as described by Enright.Ex. The disputes between islanders and outsiders overlie the deeper problem of administrative denial of indigenous lagoon rights.Ex. He was told to ' keep up whatever it is he was doing' because he was doing great!.Ex. But to make matters worse, and as the drought rolls on, it is very likely that it won't rain again until October or November.----* camino a seguir, el = way forward, the.* como siga así = at this rate.* como sigue = as follows.* debate + seguir = debate + rage.* difícil de seguir = heavy going.* el camino a seguir = the way ahead, the way to go.* hay que seguir adelante = the show must go on.* indicar el camino a seguir = point + the way forward.* indicar el camino a seguir para = point + the way to.* las cosas siguen igual = business as usual.* la vida + seguir = life + go on.* modelos a seguir = lessons learned [lessons learnt].* mostrar el camino a seguir = point + the way forward.* no saber cómo seguir = be stuck, get + stuck.* no seguir una norma = fall (far) short of + norm.* pautas a seguir = best practices, lessons learned [lessons learnt].* pendiente de seguir la última moda = fashion-conscious.* procedimiento a seguir = code of practice.* que sigue = ensuing.* que sigue una norma = compliant (with).* que uno sigue a su propio ritmo = self-paced, self-guided.* resignarse y seguir adelante = bite + the bullet.* seguir activo = remain + in being, remain + in place.* seguir adelante = go forward, forge + ahead, forge + forward, go ahead, go straight ahead, carry through, move along, move forward, press forward (with), move + forward, continue on + Posesivo + way, move on.* seguir adelante con = go ahead with, stick with.* seguir a flote = stay in + business, stay + afloat.* seguir al día = remain on top of.* seguir Algo al pie de la letra = follow + Nombre + to the letter.* seguir Algo a rajatabla = follow + Nombre + to the letter.* seguir al pie de la letra = keep + strictly to the letter.* seguir al pie del cañón = soldier on.* seguir a rajatabla = keep + strictly to the letter.* seguir así = keep + it up, keep up + the good work, keep up + the great work.* seguir avanzando = forge + ahead, forge + forward.* seguir caminando = continue on + Posesivo + way.* seguir como antes = go on + as before.* seguir como modelo = pattern.* seguir con = go on with, maintain + continuity, maintain + momentum, stick at.* seguir con Algo = take + Nombre + further.* seguir con el buen hacer = keep up + the good work, keep up + the great work.* seguir con el control = stay in + control.* seguir con el mando = stay in + control.* seguir con + Posesivo + vida normal = get on with + Posesivo + life.* seguir considerando = consider + further.* seguir de cerca = monitor, stay in + control, keep + track of.* seguir desarrollando = develop + further.* seguir el buen camino = keep on + the right track, keep on + the straight and narrow.* seguir el camino de la verdad = keep on + the straight and narrow.* seguir el camino más ético = take + the high ground, take + the high road.* seguir el debate = follow + the thread.* seguir el ejemplo = follow + the lead, take after.* seguir el ejemplo de = take + Posesivo + cue from, take + a cue from.* seguir el ejemplo de Alguien = take + a leaf out of + Posesivo + book, follow + Posesivo + example.* seguir el hilo = follow + the thread.* seguir el ritmo de Algo o Alguien = keep up with + pace.* seguir en contacto = stay + tuned.* seguir en contacto (con) = stay in + touch (with), keep in + touch (with).* seguir en existencia = remain + in being.* seguir en la brecha = soldier on.* seguir en pie = hold + Posesivo + own, hold up.* seguir entre los primeros = remain on top.* seguir enviando + Nombre = keep + Nombre + coming.* seguir este camino = go along + this road.* seguir este rumbo = proceed + along this way.* seguir + Gerundio = keep on + Gerundio.* seguir haciéndolo así = keep up + the good work.* seguir haciéndolo bien = keep up + the good work.* seguir haciendo lo mismo = business as usual.* seguir igual = be none the worse for wear.* seguir inmediatamente = fast on the heels of, on the heels of.* seguir inmediatamente a = come on + the heels of.* seguir irreconciliable con = remain + unreconciled to.* seguir la conversación = follow + the thread.* seguir la corazonada de uno = play + Posesivo + hunches.* seguir la corriente = go with + the flow, go along with + the flow.* seguir la iniciativa = follow + the lead.* seguir la marcha de = monitor.* seguir la moda = catch + the fever.* seguir la pista = follow up, track, follow through, shadow, track down.* seguir la pista a un documento = chase + item.* seguir la pista de = keep + track of.* seguir la trayectoria = follow up, follow through.* seguirle el juego a, seguirle la corriente a = play along with.* seguirle la corriente a = play along with.* seguir levantado = stay up.* seguir líneas diferentes = be on different lines.* seguir lo mismo = remain + the same.* seguir los pasos de = follow in + the footsteps of.* seguir malgastando el dinero = throw + good money after bad.* seguir opuesto a = remain + unreconciled to.* seguir por delante de = keep + one step ahead of.* seguir por el buen camino = keep out of + trouble, keep on + the right track.* seguir + Posesivo + pasos = follow in + Posesivo + footsteps.* seguir progresando = forge + ahead, forge + forward.* seguirse = ensue.* seguir siendo = remain.* seguir siendo + Adjetivo = remain + Adjetivo.* seguir siendo lo mismo = remain + the same.* seguir sin agraciarse con = remain + unreconciled to.* seguir sin haberse traducido = remain + untranslated.* seguir sin reconciliarse con = remain + unreconciled to.* seguir sin traducirse = remain + untranslated.* seguir tirando el dinero = throw + good money after bad.* seguir trabajando aceptando una limitación = work (a)round + shortcoming, work (a)round + limitation, work (a)round + constraints.* seguir trabajando así = keep up + the good work.* seguir trabajando bien = keep up + the good work.* seguir tratando = discuss + further.* seguir una dirección = follow + path, take + path.* seguir una escala = fall along + a continuum.* seguir una estrategia = take + tack.* seguir una filosofía = espouse + philosophy.* seguir una metodología = adopt + approach.* seguir una práctica = adopt + practice.* seguir una táctica = take + tack.* seguir una trayectoria = follow + track.* seguir un camino = take + path, take + direction, tread + path, walk + path.* seguir un camino diferente = strike out on + a different path.* seguir un consejo = take + advice.* seguir un curso de acción = follow + track.* seguir un método = take + approach.* seguir un modelo = embrace + model, conform to + image.* seguir unos pasos = follow + steps.* seguir un patrón = conform to + image.* seguir un principio = adopt + convention.* seguir un rumbo diferente = take + a different turn.* seguir + Verbo = still + Verbo.* seguir vigente = hold + Posesivo + own.* seguir viviendo = live on.* seguir vivo = live on, stay + alive.* siguiendo = along.* siguiendo un estilo indicativo = indicatively.* si sigue así = at this rate.* si todo sigue igual = all (other) things being equal.* tiempo + seguir su marcha inexorable = time + march on.* * *1.verbo transitivo1) <persona/vehículo/presa> to followcamina muy rápido, no la puedo seguir — she walks very fast, I can't keep up with her
seguidos cada vez más de cerca por los japoneses — with the Japanese catching up on them all the time
el que la sigue la consigue — (fam) if at first you don't succeed, try, try again
2) <camino/ruta>siga esta carretera hasta llegar al puente — go along o follow this road as far as the bridge
3) ( en el tiempo) to followseguir a algo/alguien — to follow something/somebody
4)a) <instrucciones/consejo/flecha> to followb) ( basarse en) <autor/teoría/método/tradición> to follow5)a) <trámite/procedimiento> to followb) (Educ) < curso> to takeestoy siguiendo un curso de fotografía — I'm doing o taking a photography course
6)a) <explicaciones/profesor> to followdicta demasiado rápido, no la puedo seguir — she dictates too quickly, I can't keep up
¿me siguen? — are you with me?
b) ( permanecer atento a)2.no sigo ese programa — I don't watch that program, I'm not following that program
seguir vi1)a) ( por un camino) to go onsiga derecho or todo recto hasta el final de la calle — keep o go straight on to the end of the street
seguir de largo — (AmL) to go straight past
b)c) (Col, Ven) ( entrar)siga por favor — come in, please
2) (en lugar, estado)¿tus padres siguen en Ginebra? — are your parents still in Geneva?
sigue soltera/tan bonita como siempre — she's still single/as pretty as ever
si las cosas siguen así... — if things carry on like this...
si sigue así de trabajador, llegará lejos — if he carries on working as hard as this, he'll go a long way
3)a) tareas/buen tiempo/lluvia to continue; rumores to persistb)seguir + ger: sigo pensando que deberíamos haber ido I still think we ought to have gone; sigue leyendo tú you read now; seguiré haciéndolo a mi manera — I'll go on o carry on doing it my way, I shall continue to do it my way (frml)
4)a) (venir después, estar contiguo)un período de calma ha seguido a estos enfrentamientos — these clashes have been followed by a period of calm
b) historia/poema to continue3.¿cómo sigue la canción? — how does the song go on?
seguirse v pron (en 3a pers)de esto se sigue que... — it follows from this that...
* * *= accord with, adhere to, chase, conform to, espouse, fit, follow, keep to, observe, pursue, run along, stay, stick to, proceed, overlay, carry on, go ahead, soldier on, succeed, hew to, overlie, keep up, roll on.Ex: So while that tracing may have accorded with a rule, it violated common sense.
Ex: Since BC adheres closely to the educational and scientific consensus, BC found most favour with libraries in educational establishments.Ex: Also, in controlled indexing language data bases, there is often an assumption that a user will be prepared to chase strings of references or to consult a sometimes complex thesaurus.Ex: These basic permutation rules are modified somewhat to conform to bibliographic requirements.Ex: Most respondents espoused the latter view as an appropriate response to IT developments to date.Ex: Especially if the new subject is one which upsets the previous structure of relationships, it will be difficult to fit into the existing order.Ex: An abstract covers all of the main points made in the original document, and usually follows the style and arrangement of the parent document.Ex: Obviously, once a choice of citation order has been made it must be kept to, otherwise, chaos will result.Ex: It is worth briefly observing a general approach to the creation of a data base.Ex: All effective indexes must have some common facets if only because the audience does not alter merely because the indexer chooses to pursue certain indexing practices.Ex: Whevener logical processes of thought are employed - that is, whenever thought for a time runs along an accepted groove - there is an opportunity for the machine.Ex: What is possibly less easy is to making sure that the guiding stays clean, neat and accurate.Ex: It might be striking to outline the instrumentalities of the future more spectacularly, rather than to stick closely to methods and elements now known.Ex: Before we proceed to look at the operators in detail, a couple of examples may help to make the layout clearer.Ex: There may be a very flexible communication system that overlays the administrative structure, or there may be a fairly rigid pattern of communication that adheres to the administrative lines of authority.Ex: If a child detects that no very strong value is placed on reading then he feels no compulsion to develop his own reading skill beyond the minimal, functional level we all need simply to carry on our daily lives in our print-dominated society.Ex: A plan for the construction and implementation phases will be drawn up, if it is decided to go ahead = Si se decide continuar, se elaborará un plan para las fases de construcción y puesta en práctica.Ex: Russell soldiered on in 'Principles of Mathematics', he pleaded a distinction between analysis by way of philosophical definitions and analysis by way of mathematical definitions.Ex: In 1964 he was promoted to Associate Director of the Processing Department where he succeeded John Cronin as Director four years later.Ex: The structure adopted hews to the theoretical model of the resilient organization as described by Enright.Ex: The disputes between islanders and outsiders overlie the deeper problem of administrative denial of indigenous lagoon rights.Ex: He was told to ' keep up whatever it is he was doing' because he was doing great!.Ex: But to make matters worse, and as the drought rolls on, it is very likely that it won't rain again until October or November.* camino a seguir, el = way forward, the.* como siga así = at this rate.* como sigue = as follows.* debate + seguir = debate + rage.* difícil de seguir = heavy going.* el camino a seguir = the way ahead, the way to go.* hay que seguir adelante = the show must go on.* indicar el camino a seguir = point + the way forward.* indicar el camino a seguir para = point + the way to.* las cosas siguen igual = business as usual.* la vida + seguir = life + go on.* modelos a seguir = lessons learned [lessons learnt].* mostrar el camino a seguir = point + the way forward.* no saber cómo seguir = be stuck, get + stuck.* no seguir una norma = fall (far) short of + norm.* pautas a seguir = best practices, lessons learned [lessons learnt].* pendiente de seguir la última moda = fashion-conscious.* procedimiento a seguir = code of practice.* que sigue = ensuing.* que sigue una norma = compliant (with).* que uno sigue a su propio ritmo = self-paced, self-guided.* resignarse y seguir adelante = bite + the bullet.* seguir activo = remain + in being, remain + in place.* seguir adelante = go forward, forge + ahead, forge + forward, go ahead, go straight ahead, carry through, move along, move forward, press forward (with), move + forward, continue on + Posesivo + way, move on.* seguir adelante con = go ahead with, stick with.* seguir a flote = stay in + business, stay + afloat.* seguir al día = remain on top of.* seguir Algo al pie de la letra = follow + Nombre + to the letter.* seguir Algo a rajatabla = follow + Nombre + to the letter.* seguir al pie de la letra = keep + strictly to the letter.* seguir al pie del cañón = soldier on.* seguir a rajatabla = keep + strictly to the letter.* seguir así = keep + it up, keep up + the good work, keep up + the great work.* seguir avanzando = forge + ahead, forge + forward.* seguir caminando = continue on + Posesivo + way.* seguir como antes = go on + as before.* seguir como modelo = pattern.* seguir con = go on with, maintain + continuity, maintain + momentum, stick at.* seguir con Algo = take + Nombre + further.* seguir con el buen hacer = keep up + the good work, keep up + the great work.* seguir con el control = stay in + control.* seguir con el mando = stay in + control.* seguir con + Posesivo + vida normal = get on with + Posesivo + life.* seguir considerando = consider + further.* seguir de cerca = monitor, stay in + control, keep + track of.* seguir desarrollando = develop + further.* seguir el buen camino = keep on + the right track, keep on + the straight and narrow.* seguir el camino de la verdad = keep on + the straight and narrow.* seguir el camino más ético = take + the high ground, take + the high road.* seguir el debate = follow + the thread.* seguir el ejemplo = follow + the lead, take after.* seguir el ejemplo de = take + Posesivo + cue from, take + a cue from.* seguir el ejemplo de Alguien = take + a leaf out of + Posesivo + book, follow + Posesivo + example.* seguir el hilo = follow + the thread.* seguir el ritmo de Algo o Alguien = keep up with + pace.* seguir en contacto = stay + tuned.* seguir en contacto (con) = stay in + touch (with), keep in + touch (with).* seguir en existencia = remain + in being.* seguir en la brecha = soldier on.* seguir en pie = hold + Posesivo + own, hold up.* seguir entre los primeros = remain on top.* seguir enviando + Nombre = keep + Nombre + coming.* seguir este camino = go along + this road.* seguir este rumbo = proceed + along this way.* seguir + Gerundio = keep on + Gerundio.* seguir haciéndolo así = keep up + the good work.* seguir haciéndolo bien = keep up + the good work.* seguir haciendo lo mismo = business as usual.* seguir igual = be none the worse for wear.* seguir inmediatamente = fast on the heels of, on the heels of.* seguir inmediatamente a = come on + the heels of.* seguir irreconciliable con = remain + unreconciled to.* seguir la conversación = follow + the thread.* seguir la corazonada de uno = play + Posesivo + hunches.* seguir la corriente = go with + the flow, go along with + the flow.* seguir la iniciativa = follow + the lead.* seguir la marcha de = monitor.* seguir la moda = catch + the fever.* seguir la pista = follow up, track, follow through, shadow, track down.* seguir la pista a un documento = chase + item.* seguir la pista de = keep + track of.* seguir la trayectoria = follow up, follow through.* seguirle el juego a, seguirle la corriente a = play along with.* seguirle la corriente a = play along with.* seguir levantado = stay up.* seguir líneas diferentes = be on different lines.* seguir lo mismo = remain + the same.* seguir los pasos de = follow in + the footsteps of.* seguir malgastando el dinero = throw + good money after bad.* seguir opuesto a = remain + unreconciled to.* seguir por delante de = keep + one step ahead of.* seguir por el buen camino = keep out of + trouble, keep on + the right track.* seguir + Posesivo + pasos = follow in + Posesivo + footsteps.* seguir progresando = forge + ahead, forge + forward.* seguirse = ensue.* seguir siendo = remain.* seguir siendo + Adjetivo = remain + Adjetivo.* seguir siendo lo mismo = remain + the same.* seguir sin agraciarse con = remain + unreconciled to.* seguir sin haberse traducido = remain + untranslated.* seguir sin reconciliarse con = remain + unreconciled to.* seguir sin traducirse = remain + untranslated.* seguir tirando el dinero = throw + good money after bad.* seguir trabajando aceptando una limitación = work (a)round + shortcoming, work (a)round + limitation, work (a)round + constraints.* seguir trabajando así = keep up + the good work.* seguir trabajando bien = keep up + the good work.* seguir tratando = discuss + further.* seguir una dirección = follow + path, take + path.* seguir una escala = fall along + a continuum.* seguir una estrategia = take + tack.* seguir una filosofía = espouse + philosophy.* seguir una metodología = adopt + approach.* seguir una práctica = adopt + practice.* seguir una táctica = take + tack.* seguir una trayectoria = follow + track.* seguir un camino = take + path, take + direction, tread + path, walk + path.* seguir un camino diferente = strike out on + a different path.* seguir un consejo = take + advice.* seguir un curso de acción = follow + track.* seguir un método = take + approach.* seguir un modelo = embrace + model, conform to + image.* seguir unos pasos = follow + steps.* seguir un patrón = conform to + image.* seguir un principio = adopt + convention.* seguir un rumbo diferente = take + a different turn.* seguir + Verbo = still + Verbo.* seguir vigente = hold + Posesivo + own.* seguir viviendo = live on.* seguir vivo = live on, stay + alive.* siguiendo = along.* siguiendo un estilo indicativo = indicatively.* si sigue así = at this rate.* si todo sigue igual = all (other) things being equal.* tiempo + seguir su marcha inexorable = time + march on.* * *vtA ‹persona/vehículo› to follow; ‹presa› to followsígame, por favor follow me, pleasela hizo seguir por un detective he had her followed by a detectivecamina muy rápido, no la puedo seguir she walks very fast, I can't keep up with hersiga (a) ese coche follow that car!creo que nos están siguiendo I think we're being followedla siguió con la mirada he followed her with his eyesle venían siguiendo los movimientos desde hacía meses they had been watching his movements for monthsseguidos cada vez más de cerca por los japoneses with the Japanese catching up o gaining on them all the timela mala suerte la seguía a todas partes she was dogged by bad luck wherever she wentel que la sigue la consigue or la mata ( fam); if at first you don't succeed, try, try againB ‹camino/ruta›siga esta carretera hasta llegar al puente go along o take o follow this road as far as the bridgecontinuamos el viaje siguiendo la costa we continued our journey following the coastme paré a saludarla y seguí mi camino I stopped to say hello to her and went on my waysi se sigue este camino se pasa por Capileira if you take this route you go through Capileiraseguimos las huellas del animal hasta el río we tracked the animal to the riverla enfermedad sigue su curso normal the illness is taking o running its normal courseel tour sigue la ruta de Bolívar the tour follows the route taken by Bolivarsiguiéndole los pasos al hermano mayor, decidió estudiar medicina following in his elder brother's footsteps, he decided to study medicineC (en el tiempo) to follow seguir A algo/algn to follow sth/sblos disturbios que siguieron a la manifestación the disturbances that followed the demonstrationel hermano que me sigue está en Asunción the brother who comes after me is in AsunciónD1 ‹instrucciones/consejo› to followtienes que seguir el dictamen de tu conciencia you must be guided by your conscience2 (basarse en) ‹autor/teoría/método› to followen su clasificación sigue a Sheldon he follows Sheldon in his classificationsus esculturas siguen el modelo clásico her sculptures are in the classical stylesigue a Kant she's a follower of Kant's philosophysigue las líneas establecidas por nuestro fundador it follows the lines laid down by our founderE1 ‹trámite/procedimiento› to followva a tener que seguir un tratamiento especial/una dieta hipocalórica you will have to undergo special treatment/follow a low-calorie dietse seguirá contra usted el procedimiento de suspensión del permiso de conducción steps will be taken leading to the withdrawal of your driver's license2 ( Educ) ‹curso› to takeestoy siguiendo un cursillo de fotografía I'm doing o taking a short photography course¿qué carrera piensas seguir? what are you thinking of studying o reading?F1 ‹explicaciones/profesor› to followdicta demasiado rápido, no la puedo seguir she dictates too quickly, I can't keep upme cuesta seguir una conversación en francés I find it hard to follow a conversation in French¿me siguen? are you with me?2(permanecer atento a): no sigo ese programa I don't watch that program, I'm not following that programsigue atentamente el curso de los acontecimientos he's following the course of events very closelysigue paso a paso la vida de su ídolo she keeps track of every detail of her idol's lifeseguimos muy de cerca su desarrollo we are keeping careful track of its development, we are following its development very closely■ seguirviA1 (por un camino) to go onsiga derecho or todo recto hasta el final de la calle keep o go straight on to the end of the streetsigue por esta calle hasta el semáforo go on down this street as far as the traffic lightsel tren sigue hasta Salto the train goes on to Saltodesde allí hay que seguir a pie/en mula from there you have to go on on foot/by mule2seguir adelante: ¿entienden? bien, entonces sigamos adelante do you understand? good, then let's carry onllueve ¿regresamos? — no, sigamos adelante it's raining, shall we go back? — no, let's go on o carry onresolvieron seguir adelante con los planes they decided to go ahead with their plans3B(en un lugar, un estado): ¿tus padres siguen en Ginebra? are your parents still in Geneva?espero que sigan todos bien I hope you're all keeping well¿sigues con la idea de mudarte? do you still intend to move?, are you still thinking of moving?sigo sin entender I still don't understandsigue soltera/tan bonita como siempre she's still single/as pretty as eversi sigue así de trabajador, llegará lejos if he carries on working as hard as this, he'll go a long wayC1«tareas/investigaciones/rumores»: siguen las investigaciones en torno al crimen investigations are continuing into the crimesigue el buen tiempo en todo el país the good weather is continuing throughout the country, the whole country is still enjoying good weathersi siguen estos rumores if these rumors persist2 seguir + GER:sigo pensando que deberíamos haber ido I still think we ought to have gonesigue leyendo tú, Elsa you read now, Elsasi sigues molestando te voy a echar if you carry on being a nuisance, I'm going to send you outseguiré haciéndolo a mi manera I'll go on o carry on doing it my way, I shall continue to do it my way ( frml)D1(venir después, estar contiguo): lee lo que sigue read what follows, read what comes nextel capítulo que sigue the next chapterme bajo en la parada que sigue I get off at the next stopsigue una hora de música clásica there follows an hour of classical music2 «historia/poema» to continue¿cómo sigue la canción? how does the song go on?[ S ] sigue en la página 8 continued on page 8la lista definitiva ha quedado como sigue the final list is as follows■ seguirse( en tercera persona) seguirse DE algo to follow FROM sthde esto se sigue que su muerte no fue accidental it follows from this that her death was not accidental* * *
seguir ( conjugate seguir) verbo transitivo
1 ‹persona/vehículo/presa› to follow;◊ camina muy rápido, no la puedo seguir she walks very fast, I can't keep up with her
2 ‹camino/ruta› to follow, go along;◊ siga esta carretera hasta llegar al puente go along o follow this road as far as the bridge;
la saludé y seguí mi camino I said hello to her and went on (my way);
la enfermedad sigue su curso normal the illness is running its normal course
3
4
‹ tratamiento› to undergo
5 ‹explicaciones/profesor› to follow;◊ dicta demasiado rápido, no la puedo seguir she dictates too quickly, I can't keep up
verbo intransitivo
1
siga derecho or todo recto keep o go straight on;
seguir de largo (AmL) to go straight pastb)
resolvieron seguir adelante con los planes they decided to go ahead with their plansc) (Col, Ven) ( entrar):◊ siga por favor come in, please
2 (en lugar, estado):◊ ¿tus padres siguen en Ginebra? are your parents still in Geneva?;
espero que sigan todos bien I hope you're all keeping well;
sigue soltera she's still single;
si las cosas siguen así … if things carry on like this …
3 [tareas/buen tiempo/lluvia] to continue;
[ rumores] to persist;
seguiré haciéndolo a mi manera I'll go on o carry on doing it my way
4a) ( venir después):
el capítulo que sigue the next chapter
seguir
I verbo transitivo
1 to follow: ésta es la hermana que me sigue, she's the sister who comes after me
me sigue a todas partes, he follows me wherever I go
me seguía con la mirada, his eyes followed me
2 (comprender) to understand, follow: no soy capaz de seguir el argumento, I can't follow the plot
3 (una ruta, un camino, consejo) to follow
4 (el ritmo, la moda) to keep: no sigues el ritmo, you aren't keeping time
5 (el rastro, las huellas) to track
6 (una actividad) sigue un curso de informática, she's doing a computer course
II verbo intransitivo
1 (continuar) to keep (on), go on: seguiremos mañana, we'll continue tomorrow
siguen casados, they are still married
sigue tirando de la cuerda, keep (on) pulling at the rope ➣ Ver nota en continue y keep 2 (extenderse, llegar hasta) to stretch (out): los sembrados siguen hasta la ribera, the fields stretch down to the river-bank
' seguir' also found in these entries:
Spanish:
atorarse
- continuar
- escala
- golpe
- impulsar
- juego
- profesar
- rastrear
- ritmo
- sino
- suceder
- trece
- adelante
- bordear
- camino
- cauce
- cerca
- línea
- llevar
- moda
- paso
- perro
- racha
- separar
- siga
- sigo
- trazar
- ver
English:
act on
- advice
- along
- carry on
- closely
- continue
- despite
- ensue
- fight on
- follow
- follow up
- forge
- get on
- go ahead
- go on
- go through with
- hope
- hotly
- keep
- keep on
- lead
- march on
- monitor
- move on
- obey
- pick up
- play on
- play upon
- practice
- practise
- press ahead
- proceed
- pursue
- push ahead
- push on
- rattle on
- reasoning
- run on
- send on
- shadow
- soldier on
- stalk
- stand
- stay out
- struggle on
- succeed
- tail
- take
- track
- trail
* * *♦ vt1. [ir detrás de, tomar la ruta de] to follow;tú ve delante, que yo te sigo you go ahead, I'll follow o I'll go behind;síganme, por favor follow me, please;la generación que nos sigue o [m5] que sigue a la nuestra the next generation, the generation after us;sigue este sendero hasta llegar a un bosque follow this path until you come to a forest;seguir el rastro de alguien/algo to follow sb's/sth's tracks;siga la flecha [en letrero] follow the arrow2. [perseguir] to follow;me parece que nos siguen I think we're being followed;seguir a alguien de cerca to tail sb;parece que le siguen los problemas trouble seems to follow him around wherever he goes;el que la sigue la consigue where there's a will there's a way3. [estar atento a, imitar, obedecer] to follow;seguían con la vista la trayectoria de la bola they followed the ball with their eyes;no seguimos ese programa we don't follow that programme;siempre sigue los dictámenes de la moda she always follows the latest fashion;los que siguen a Keynes followers of Keynes;el cuadro sigue una línea clásica the painting is classical in style;seguir las órdenes/instrucciones de alguien to follow sb's orders/instructions;sigue mi consejo y habla con ella take my advice and talk to her;siguiendo sus indicaciones, hemos cancelado el pedido we have cancelled the order as instructed4. [reanudar, continuar] to continue, to resume;yo seguí mi trabajo/camino I continued with my work/on my way;él siguió su discurso he continued o resumed his speech5. [comprender] [explicación, profesor, conferenciante] to follow;me costaba seguirle I found her hard to follow;¿me sigues? do you follow?, are you with me?6. [mantener, someterse a] to follow;hay que seguir un cierto orden you have to follow o do things in a certain order;seguiremos el procedimiento habitual we will follow the usual procedure;es difícil seguirle (el ritmo), va muy deprisa it's hard to keep up with him, he goes very quickly;los aspirantes elegidos seguirán un proceso de formación the chosen candidates will receive o undergo trainingsigue la carrera de medicina she's studying medicine♦ vi1. [proseguir, no detenerse] to continue, to go on;¡sigue, no te pares! go o carry on, don't stop!;aquí se baja él, yo sigo [al taxista] he's getting out here, I'm going on;siga con su trabajo carry on with your work;el sendero sigue hasta la cima the path continues o carries on to the top;"sigue la crisis en la bolsa de Tokio" Tokyo stock market crisis continues;debes seguir haciéndolo you should keep on o carry on doing it;¿vas a seguir intentándolo? are you going to keep trying?;se seguían viendo de vez en cuando they still saw each other from time to time, they continued to see each other from time to time;seguir adelante (con algo) [con planes, proyectos] to go ahead (with sth)2. [mantenerse, permanecer]sigue enferma/en el hospital she's still ill/in hospital;¿qué tal sigue la familia? how's the family getting on o keeping?;todo sigue igual everything's still the same, nothing has changed;sigue el buen tiempo en el sur del país the good weather in the south of the country is continuing;sigo trabajando en la fábrica I'm still working at the factory;¿la sigues queriendo? do you still love her?;sigo pensando que está mal I still think it's wrong;sigue habiendo dudas sobre… doubts remain about…;¡buen trabajo, sigue así! good work, keep it up!;si seguimos jugando así, ganaremos la liga if we carry on o keep playing like that, we'll win the league;Fama seguir bien [como despedida] take care, look after yourself;de seguir así las cosas, si las cosas siguen así if things go on like this, the way things are goingseguiremos hacia el este we'll go east then;siga todo recto go straight on;siga hasta el siguiente semáforo carry on till you get to the next set of traffic lights4. [sucederse, ir después] to follow;lo que sigue es una cita del Corán the following is a quotation from the Koran;seguir a algo to follow sth;la lluvia siguió a los truenos the thunder was followed by rain;¿cómo sigue el chiste? how does the joke go on o continue?;el proceso de selección se realizará como sigue:… the selection process will be carried out as follows:…;sigue en la página 20 [en periódico, libro] continued on page 20con permiso, ¿puedo entrar? – siga excuse me, can I come in? – please do* * *I v/tseguir a alguien follow s.o.2 ( permanecer):seguir fiel a alguien remain faithful to s.o.II v/i continue, carry on;seguir con algo continue with sth, carry on with sth;seguir haciendo algo go on doing sth, continue to do sth;sigue cometiendo los mismos errores he keeps on making the same mistakes;sigue enfadado conmigo he’s still angry with me;¡a seguir bien! take care!, take it easy!* * *seguir {75} vt1) : to followel sol sigue la lluvia: sunshine follows the rainseguiré tu consejo: I'll follow your adviceme siguieron con la mirada: they followed me with their eyes2) : to go along, to keep onseguimos toda la carretera panamericana: we continued along the PanAmerican Highwaysiguió hablando: he kept on talkingseguir el curso: to stay on course3) : to take (a course, a treatment)seguir vi1) : to go on, to keep goingsigue adelante: keep going, carry on2) : to remain, to continue to be¿todavía sigues aquí?: you're still here?sigue con vida: she's still alive3) : to follow, to come afterla frase que sigue: the following sentence* * *seguir vb1. (en general) to follow2. (cursar estudios) to do3. (recorrer) to go on¡sigue! No te pares go on! Don't stop!4. (continuar) to be still -
16 dato
m.1 piece of information, fact (hecho, cifra).datos (personales) (personal) details2 Dato.pres.indicat.1st person singular (yo) present indicative of spanish verb: datar.* * *1 (información) fact, piece of information, datum■ no pudimos resolver el problema por falta de datos we couldn't solve the problem due to lack of information\datos personales personal details* * *noun m.fact, piece of information- datos* * *SM1) (=información) piece of informationun dato interesante — an interesting fact o piece of information
otro dato que tener en cuenta es... — another thing to bear in mind is...
datos personales — personal details, particulars
2) (Mat) datum* * *a) ( elemento de información) piece of informationalguien le pasó el dato a la policía — (CS) somebody informed o (colloq) tipped off the police
darle un dato a alguien — (CS) to give somebody a tip
b) datos masculino plural (Inf) data (pl), information* * *= attribute value, data element, data item, datum [data, -pl.], fact, value, piece of information.Ex. Others have used possibility distributions for representing fuzzily known or incompletely known attribute values.Ex. The Working Group undertook to determine from the data available what data elements should be included for each type of authority.Ex. Information is held in files or databases, which are comprise of records, which in turn are comprised of fields or data items, which again may be comprised of subfields or data elements.Ex. Thus, having entered the authority datum correctly once, we could be sure that no matter how many bibliographic records used it they would all do so with mechanical consistency.Ex. Other data bases, which may be described as non-bibliographic, and are sometimes known as data banks, store actual facts and figures and text.Ex. A good initial value for this field will start the system off with a good guess so that claims for missing issues are not unreasonable at the beginning.Ex. On other occasions a user wants every document or piece of information on a topic traced, and then high recall must be sought, to the detriment of precision.----* alimentar datos = populate.* almacenamiento de datos = data storage.* añadir datos = make + additions.* archivo de datos = database [data base].* área de datos específicos de la clase de documento = material (or type of publication) specific details area.* área de datos matemáticos = mathematical data area.* auditoría de datos = data auditing, data audit.* banco de datos = data bank [databank], factual data bank.* banco de datos factual = factual data bank.* banco de datos terminológico = terminological data bank.* basado en los datos = data-driven.* basado en un gestor de bases de datos = DBMS-based.* base de datos = data bank [databank], database [data base], database software.* base de datos automatizada = computer database, computer-held database, computerised database, machine-readable database.* base de datos bibliográfica = bibliographic database.* base de datos bibliográfica de resúmenes = abstracts based bibliographic database.* base de datos catalográfica = catalogue database.* base de datos completa = full-provision database.* base de datos con información confidencial = intelligence database.* base de datos cruzada = cross database.* base de datos de acceso mediante suscripción = subscription database.* base de datos de autoridades = authority database.* base de datos de carburantes = TULSA.* base de datos de documentos primarios = source database.* base de datos de documentos secundarios = reference database.* base de datos de dominio público = public domain database.* base de datos de educación = ERIC.* base de datos de imágenes = image database, image bank.* base de datos de investigación = research database.* base de datos del gobierno de USA = CRECORD, FEDREG.* base de datos de lógica difusa = fuzzy database.* base de datos de medicina = MEDLINE.* base de datos de negocios = business database.* base de datos de pago = subscription database.* base de datos de patentes = WPI.* base de datos de propiedades = properties database.* base de datos de referencia = reference database.* base de datos de referencia a especialistas = referral database.* base de datos de registros de catálogo = catalogue record database.* base de datos de texto = text-oriented database, text database.* base de datos de texto completo = full text database.* base de datos de texto libre = free text database.* base de datos dirigida a un mercado específico = niche database.* base de datos distribuida = distributed database.* base de datos en CD-ROM = CD-ROM database.* base de datos en disco óptico = optical disc database.* base de datos en estado original = raw database.* base de datos en línea = online database.* base de datos estadística = statistical database.* base de datos externa = external database.* base de datos factual = factual database.* base de datos interna = in-house database.* base de datos jurídica = legal database.* base de datos multimedia = multimedia database.* base de datos no bibliográfica = non-bibliographic database.* base de datos numérica = numeric database, numerical database.* base de datos relacional = relational database.* base de datos residente = resident database.* base de datos terminológica = terminology database.* bloque de datos = data bloc.* bloque funcional de datos codificados = coded information block.* búfer de datos = data buffer.* bus de datos = databus.* búsqueda de datos = fact-finding.* campo de datos = datafield.* capturar datos = capture + data.* centro de datos = data centre.* codificación de datos = data-coding [data coding].* con datos no pertinentes = dirty [dirtier -comp., dirtiest -sup.].* conjunto de datos = data set [dataset].* contaminación de datos = data contamination.* corrupción de datos = data corruption.* creación de depósitos de datos = data warehousing.* creador de bases de datos = database producer.* dar datos de = give + details of.* dato concreto = hard fact.* datos = data [datum, -sing.], details, figure.* datos bibliográficos = bibliographic data, bibliodata.* datos biográficos = biodata.* datos concretos = specifics, the.* datos concretos y reales = hard data.* datos de contacto = contact details.* datos de entrada = input data.* datos de la tarjeta de crédito = credit card details.* datos demográficos = demographics.* datos desagregados por sexo = gender-disaggregated data.* datos empíricos = empirical data.* datos en bruto = raw data.* datos en estado bruto = raw facts.* datos en propiedad = property data.* datos erróneos = dirty data.* datos estadísticos = statistics, statistical data.* datos estadísticos de la biblioteca = library records, library statistics.* datos factuales = factual data.* datos legibles por máquina = machine-readable data.* datos numéricos = numerical data.* datos personales = personal details.* datos privados = property data.* de lectura de datos = data-capture.* depósito de datos = data warehouse.* depuración de datos = data cleaning.* descubrimiento de datos = data mining.* descubrimiento de información en las bases de datos = knowledge discovery in databases (KDD).* directorio de empresas en base de datos = company directory database.* dispositivo de almacenamiento de datos = store.* distribuidor de bases de datos = host system.* distribuidor de bases de datos en línea = online vendor.* EDI (Intercambio Electrónico de Datos) = EDI (Electronic Data Interchange).* entrada de datos = data entry, input, inputting.* entrada de datos sólo una vez = one-time entry.* estructura de datos = data structure.* extracción inteligente de datos = data mining.* fichero de salida de datos = communication output file.* gestión de bases de datos = database management.* gestión de datos = data handling.* gestor de bases de datos = DBMS system.* gestor de bases de datos relacionales = relational database management system.* grupo de datos = data set [dataset].* hoja con los datos básicos para Hacer Algo = data sheet [datasheet].* hoja de toma de datos = checklist [check-list], data sheet [datasheet].* impreso de recogida de datos = enquiry form, inquiry form.* industria de las bases de datos = database industry.* inserción de datos = input.* instrumento de recogida de datos = data collection instrument.* introducción de datos utilizando un teclado = keypunching.* introducir datos = key + data.* introducir datos en el ordenador = input.* introducir datos partiendo de cero = enter from + scratch.* introductor de datos en un ordenador = inputter.* limpieza de datos = data cleaning.* lista de datos = fact finder.* localización de datos = addressing.* manipulación de datos = data manipulation.* memoria intermedia de datos = data buffer.* memorizar datos = memorise + facts.* meta base de datos = meta-database.* migración de datos = data migration.* minería de datos = data mining.* modo de introducción de datos = input mode.* montar una base de datos = mount + database.* norma de entrada de datos = input standard.* operación sobre datos = data manipulation.* operario de entrada de datos = data entry operator.* paquete de entrada y comprobación de datos = data entry and validation package.* pérdida de datos = data loss.* personal de proceso de datos = operation staff.* preparación de los datos = data preparation.* procesamiento de datos = data processing.* procesamiento de datos numéricos = number-crunching.* proceso de datos = data processing, transaction processing.* productor de bases de datos = database producer.* programa de gestión de bases de datos = database management software.* protección de datos = data protection.* prototipo para el proceso de datos = data modelling.* proveedor de bases de datos = database provider.* recabar datos = solicit + data.* recoger datos = collect + data.* recoger datos para hacer estadísticas = collect + statistics.* recogida de datos = data collection, data gathering [data-gathering], fact-gathering, reporting, data collecting.* salida de datos = output.* sistema de proceso de datos = data processing system.* Sistema Internacional de Datos sobre Publicaciones Seriadas (ISDS) = ISDS (International Serials Data System).* suministrar datos = furnish + details.* suministro de datos = reporting.* tecla de borrado de datos = ERASE INPUT key.* tecla de introducción de datos = ENTER key.* técnico encargado del proceso de datos = data-processing professional.* tiempo de descarga de datos = download time, latency.* tráfico de datos de un modo intermitente = bursty traffic.* transformación de datos = data transformation.* transmisión de datos = data-flow, data transfer, data transmission.* tratamiento de datos = transaction processing.* unidad de datos = unit of data.* verificación de los datos = fact checking.* vía de transmisión de datos = data pathway, pathway.* * *a) ( elemento de información) piece of informationalguien le pasó el dato a la policía — (CS) somebody informed o (colloq) tipped off the police
darle un dato a alguien — (CS) to give somebody a tip
b) datos masculino plural (Inf) data (pl), information* * *= attribute value, data element, data item, datum [data, -pl.], fact, value, piece of information.Ex: Others have used possibility distributions for representing fuzzily known or incompletely known attribute values.
Ex: The Working Group undertook to determine from the data available what data elements should be included for each type of authority.Ex: Information is held in files or databases, which are comprise of records, which in turn are comprised of fields or data items, which again may be comprised of subfields or data elements.Ex: Thus, having entered the authority datum correctly once, we could be sure that no matter how many bibliographic records used it they would all do so with mechanical consistency.Ex: Other data bases, which may be described as non-bibliographic, and are sometimes known as data banks, store actual facts and figures and text.Ex: A good initial value for this field will start the system off with a good guess so that claims for missing issues are not unreasonable at the beginning.Ex: On other occasions a user wants every document or piece of information on a topic traced, and then high recall must be sought, to the detriment of precision.* alimentar datos = populate.* almacenamiento de datos = data storage.* añadir datos = make + additions.* archivo de datos = database [data base].* área de datos específicos de la clase de documento = material (or type of publication) specific details area.* área de datos matemáticos = mathematical data area.* auditoría de datos = data auditing, data audit.* banco de datos = data bank [databank], factual data bank.* banco de datos factual = factual data bank.* banco de datos terminológico = terminological data bank.* basado en los datos = data-driven.* basado en un gestor de bases de datos = DBMS-based.* base de datos = data bank [databank], database [data base], database software.* base de datos automatizada = computer database, computer-held database, computerised database, machine-readable database.* base de datos bibliográfica = bibliographic database.* base de datos bibliográfica de resúmenes = abstracts based bibliographic database.* base de datos catalográfica = catalogue database.* base de datos completa = full-provision database.* base de datos con información confidencial = intelligence database.* base de datos cruzada = cross database.* base de datos de acceso mediante suscripción = subscription database.* base de datos de autoridades = authority database.* base de datos de carburantes = TULSA.* base de datos de documentos primarios = source database.* base de datos de documentos secundarios = reference database.* base de datos de dominio público = public domain database.* base de datos de educación = ERIC.* base de datos de imágenes = image database, image bank.* base de datos de investigación = research database.* base de datos del gobierno de USA = CRECORD, FEDREG.* base de datos de lógica difusa = fuzzy database.* base de datos de medicina = MEDLINE.* base de datos de negocios = business database.* base de datos de pago = subscription database.* base de datos de patentes = WPI.* base de datos de propiedades = properties database.* base de datos de referencia = reference database.* base de datos de referencia a especialistas = referral database.* base de datos de registros de catálogo = catalogue record database.* base de datos de texto = text-oriented database, text database.* base de datos de texto completo = full text database.* base de datos de texto libre = free text database.* base de datos dirigida a un mercado específico = niche database.* base de datos distribuida = distributed database.* base de datos en CD-ROM = CD-ROM database.* base de datos en disco óptico = optical disc database.* base de datos en estado original = raw database.* base de datos en línea = online database.* base de datos estadística = statistical database.* base de datos externa = external database.* base de datos factual = factual database.* base de datos interna = in-house database.* base de datos jurídica = legal database.* base de datos multimedia = multimedia database.* base de datos no bibliográfica = non-bibliographic database.* base de datos numérica = numeric database, numerical database.* base de datos relacional = relational database.* base de datos residente = resident database.* base de datos terminológica = terminology database.* bloque de datos = data bloc.* bloque funcional de datos codificados = coded information block.* búfer de datos = data buffer.* bus de datos = databus.* búsqueda de datos = fact-finding.* campo de datos = datafield.* capturar datos = capture + data.* centro de datos = data centre.* codificación de datos = data-coding [data coding].* con datos no pertinentes = dirty [dirtier -comp., dirtiest -sup.].* conjunto de datos = data set [dataset].* contaminación de datos = data contamination.* corrupción de datos = data corruption.* creación de depósitos de datos = data warehousing.* creador de bases de datos = database producer.* dar datos de = give + details of.* dato concreto = hard fact.* datos = data [datum, -sing.], details, figure.* datos bibliográficos = bibliographic data, bibliodata.* datos biográficos = biodata.* datos concretos = specifics, the.* datos concretos y reales = hard data.* datos de contacto = contact details.* datos de entrada = input data.* datos de la tarjeta de crédito = credit card details.* datos demográficos = demographics.* datos desagregados por sexo = gender-disaggregated data.* datos empíricos = empirical data.* datos en bruto = raw data.* datos en estado bruto = raw facts.* datos en propiedad = property data.* datos erróneos = dirty data.* datos estadísticos = statistics, statistical data.* datos estadísticos de la biblioteca = library records, library statistics.* datos factuales = factual data.* datos legibles por máquina = machine-readable data.* datos numéricos = numerical data.* datos personales = personal details.* datos privados = property data.* de lectura de datos = data-capture.* depósito de datos = data warehouse.* depuración de datos = data cleaning.* descubrimiento de datos = data mining.* descubrimiento de información en las bases de datos = knowledge discovery in databases (KDD).* directorio de empresas en base de datos = company directory database.* dispositivo de almacenamiento de datos = store.* distribuidor de bases de datos = host system.* distribuidor de bases de datos en línea = online vendor.* EDI (Intercambio Electrónico de Datos) = EDI (Electronic Data Interchange).* entrada de datos = data entry, input, inputting.* entrada de datos sólo una vez = one-time entry.* estructura de datos = data structure.* extracción inteligente de datos = data mining.* fichero de salida de datos = communication output file.* gestión de bases de datos = database management.* gestión de datos = data handling.* gestor de bases de datos = DBMS system.* gestor de bases de datos relacionales = relational database management system.* grupo de datos = data set [dataset].* hoja con los datos básicos para Hacer Algo = data sheet [datasheet].* hoja de toma de datos = checklist [check-list], data sheet [datasheet].* impreso de recogida de datos = enquiry form, inquiry form.* industria de las bases de datos = database industry.* inserción de datos = input.* instrumento de recogida de datos = data collection instrument.* introducción de datos utilizando un teclado = keypunching.* introducir datos = key + data.* introducir datos en el ordenador = input.* introducir datos partiendo de cero = enter from + scratch.* introductor de datos en un ordenador = inputter.* limpieza de datos = data cleaning.* lista de datos = fact finder.* localización de datos = addressing.* manipulación de datos = data manipulation.* memoria intermedia de datos = data buffer.* memorizar datos = memorise + facts.* meta base de datos = meta-database.* migración de datos = data migration.* minería de datos = data mining.* modo de introducción de datos = input mode.* montar una base de datos = mount + database.* norma de entrada de datos = input standard.* operación sobre datos = data manipulation.* operario de entrada de datos = data entry operator.* paquete de entrada y comprobación de datos = data entry and validation package.* pérdida de datos = data loss.* personal de proceso de datos = operation staff.* preparación de los datos = data preparation.* procesamiento de datos = data processing.* procesamiento de datos numéricos = number-crunching.* proceso de datos = data processing, transaction processing.* productor de bases de datos = database producer.* programa de gestión de bases de datos = database management software.* protección de datos = data protection.* prototipo para el proceso de datos = data modelling.* proveedor de bases de datos = database provider.* recabar datos = solicit + data.* recoger datos = collect + data.* recoger datos para hacer estadísticas = collect + statistics.* recogida de datos = data collection, data gathering [data-gathering], fact-gathering, reporting, data collecting.* salida de datos = output.* sistema de proceso de datos = data processing system.* Sistema Internacional de Datos sobre Publicaciones Seriadas (ISDS) = ISDS (International Serials Data System).* suministrar datos = furnish + details.* suministro de datos = reporting.* tecla de borrado de datos = ERASE INPUT key.* tecla de introducción de datos = ENTER key.* técnico encargado del proceso de datos = data-processing professional.* tiempo de descarga de datos = download time, latency.* tráfico de datos de un modo intermitente = bursty traffic.* transformación de datos = data transformation.* transmisión de datos = data-flow, data transfer, data transmission.* tratamiento de datos = transaction processing.* unidad de datos = unit of data.* verificación de los datos = fact checking.* vía de transmisión de datos = data pathway, pathway.* * *1 (elemento de información) piece of informationno tengo más datos que el título de la obra the only thing I know about the work is its title, the only information I have about the work is its titleno dispongo de todos los datos I don't have all the information o details o factsme han dado un dato muy interesante (CS); I've been given a very interesting piece of information o ( colloq) a hot tipte voy a dar un dato, si no lo enchufas no funciona (CS hum); let me give you a tip: it won't work unless you plug it inCompuesto:* * *
Del verbo datar: ( conjugate datar)
dato es:
1ª persona singular (yo) presente indicativo
dató es:
3ª persona singular (él/ella/usted) pretérito indicativo
Multiple Entries:
datar
dato
datar ( conjugate datar) verbo intransitivo
to date;
data de hace muchos años it goes back many years
dato sustantivo masculino
datos personales personal details (pl)b)
datar
I verbo transitivo to date, put a date on
II verbo intransitivo datar de, to date back to o from: este libro data de la Edad Media, this book dates back to the Middle Ages
dato sustantivo masculino
1 piece of information 2 datos, Inform data
(pormenores) information: no tengo más datos sobre este autor, I don't have any more details about his author
datos personales, personal details
La traducción de dato es datum, pero solo se usa en situaciones muy formales. La traducción de datos es data (plural irregular). El singular más común de data es a piece of information.
' dato' also found in these entries:
Spanish:
filtrar
- filtración
- informativa
- informativo
- relevante
- consignar
- consultar
- equivocado
- falso
English:
data
- information
- tip
* * *dato nm1. [hecho, cifra] piece of information, fact;lo que necesitamos son datos concretos what we need is hard facts;el alto desempleo es un dato que hay que tener en cuenta the high level of unemployment is a factor which has to be borne in mind;datos [información] information, data;si no me das más datos, no voy a poderte aconsejar unless you give me more information, I won't be able to advise you;el ministerio aún no cuenta con todos los datos the ministry does not yet have all the information at its disposal;datos (personales) (personal) details;déjenos sus datos y nos pondremos en contacto con usted leave us your details and we will get in touch with youdatos bancarios bank details;datos estadísticos statistical data* * *m piece of information;datos pl information sg, data sg* * *dato nm1) : fact, piece of information2) datos nmpl: data, information* * *dato n (información) piece of information -
17 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
-
18 Rondelet, Jean-Baptiste
[br]b. 1734 Lyons, France d. 1829[br]French architect particularly interested in the scientific and mathematical basis of architectural structure, and who at an early date introduced reinforced concrete into supporting piers in his buildings.[br]From 1795 Rondelet was Professor at the Ecole Centrale des Travaux Publics and while there was responsible for a major treatise on building construction: this was his Traité théorique et pratique de l'art de bâtir, published in four volumes in 1802–17. From 1806 he taught at the Ecole Spéciale d'Architecture, which was soon afterwards merged with the Ecole Polytechnique. It was when Rondelet took over the work of com-pleting the Panthéon in Paris, after the death of Jacques-Germain Soufflot, that he had the opportunity of putting some of his particular structural ideas into practice. In 1755 the King had appointed Soufflot architect of the great new church to be dedicated to the patron saint of the city, Sainte Geneviève. In this neo-classical structure based upon Greek cross plan, Soufflot intended four slender piers, each encased in three engaged columns, to support the pendentives for the dome to rise over the crossing. It was a fine and elegant building on a large scale, but by the early nineteenth century, when the church had become a pantheon, cracks were appearing in the masonry. When Rondelet succeeded as architect after Soufflot's death, he strengthened and enlarged the piers, employing a faced concrete structure reinforced with metal. He used a metalreinforced mortar with rubble aggregate.[br]BibliographyAn article by Rondelet appears in: 1989, Le Panthéon: Symbole des Révolutions, pp. 308–10 (book of the Exhibition at the Hôtel de Sully, Paris), ed. Picard, Caisse Nationale des Monuments Historiques et des Sites en France.Further ReadingM.N.Mathuset-Bandouin, 1980, "Biographie de Jean Rondelet", Soufflot et son temps, Caisse Nationale des Monuments Historiques et des Sites en France, 155ö7.DYBiographical history of technology > Rondelet, Jean-Baptiste
-
19 Language
Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)[A list of language games, not meant to be exhaustive:]Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling itSolving a problem in practical arithmeticTranslating from one language into anotherLANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)We dissect nature along the lines laid down by our native languages.The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own LanguageThe forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)[It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)23) Language Is Inevitably Influenced by Specific Contexts of Human InteractionLanguage cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)Historical dictionary of quotations in cognitive science > Language
-
20 MPS
1) Общая лексика: miscellaneous pipe support, Metropolitan Police Service2) Компьютерная техника: Multi Processor Specification3) Медицина: CMP, CMP syndrome, chronic myofascial pain, myofascial pain dysfunctional syndrome, МДБ, МДБ синдром, миофасциальный болевой дисфункциональный синдром4) Американизм: Mask Procurement Specification5) Спорт: Multi Players Supported6) Военный термин: Maritime Pre-Positioning Ships, Maritime Prepositioned Ships, Master Personnel System, Message Processing Shelter, Military Postal Service, Mission Planning Station, Mobile Profiler System, main payload subsystem, main propulsion system, manpower system, maritime prepositioning ship, maritime prepositioning squadron, master packaging sheet, master pilot's certificate, master program schedule, materiel planning study, message processing system, military planning staff, military police station, military production specifications, mission payload system, mission preparation sheet, mobile power station, modular printing system, multiple protective shelters, multipurpose ship, (T) Tactical MPS, Military Performance Specification7) Техника: median period of survival, minimum performance specifications, monitoring and protection system, multipurpose sampler, proton synchrotron machine division, magnetic particle spectroscopy8) Химия: Methanol Precipitable Solids9) Метеорология: Meteorological Profiler System10) Юридический термин: Metro Police Squad11) Биржевой термин: Marginal Propensity To Save12) Грубое выражение: Mad Passionate Sex14) Сокращение: Maritime Prepositioning Ships (USA), Micro Processor Systems A/S (Norway), Military Postal System, Mission Payload Subsystem, Mission Planning System, Mixed-Propellant System, Motor Pump Set, Multiple Protective Shelter / Structure, material products system, meters per second, miles per second, Material Product System, multiple parallel synthesis15) Университет: Mathematical And Physical Sciences16) Физиология: Multiple Personality Syndrome, Myofascial Pain Syndrome17) Вычислительная техника: Megabytes Per Second, microprogramming system, multipage signal, multiprogramming system, MultiPage Signal (Fax), MPOA Server (MPOA, ATM), MultiProcessor Specification (SMP, Intel), многостраничный сигнал, система с мультипрограммированием, спецификация мультипроцессорных систем18) Нефть: mild plow steel, минимальные требования к техническим характеристикам (minimum performance specifications)19) Иммунология: mononuclear phagocyte system20) Биохимия: Mucopolysaccharides21) Транспорт: Mazda Performance Series22) Пищевая промышленность: Mucilaginous Poly Saccharide23) Фирменный знак: Music Publishers Singapore24) Деловая лексика: Media And Product Survey25) SAP. составление графиков основного производства (Master Production Schedule, http://www.sap.com/cis/services/education/scm100_300.pdf)26) Сетевые технологии: Mailing Preference Service, microprocessor system, multiprocessing specification, multiprocessor system, микропроцессорная система, многопроцессорная система27) Полимеры: methyl pentachlorostearate28) Программирование: Move Pen Somewhere29) Автоматика: manual programming system, master production schedule30) Пластмассы: Methanol Perceptible Solids31) Расширение файла: Multiprocessor Specification32) Нефтеперерабатывающие заводы: головная перекачивающая станция, main pumping station, ГПС33) Электротехника: main protective system34) Должность: Maximum Pensionable Salary35) NYSE. Modis Professional Services, Inc.36) НАСА: Modular Power System37) Программное обеспечение: Mathematical Programming System, Microsoft Proxy Server
См. также в других словарях:
Mathematical structure — For the notion of structure in mathematical logic, see Structure (mathematical logic). In mathematics, a structure on a set, or more generally a type, consists of additional mathematical objects that in some manner attach (or relate) to the set,… … Wikipedia
mathematical structure — noun A set together with a collection of mathematical objects such as other sets, relations or operations which endow it with additional stucture … Wiktionary
Structure — is a fundamental and sometimes intangible notion covering the recognition, observation, nature, and stability of patterns and relationships of entities. From a child s verbal description of a snowflake, to the detailed scientific analysis of the… … Wikipedia
Mathematical universe hypothesis — In physics and cosmology, the mathematical universe hypothesis (MUH), also known as the Ultimate Ensemble, is a speculative theory of everything (TOE) proposed by the theoretical physicist, Max Tegmark.[1] Contents 1 Description 2 Criticisms and… … Wikipedia
Mathematical formulation of quantum mechanics — Quantum mechanics Uncertainty principle … Wikipedia
Structure (disambiguation) — The structure of a thing is how the parts of it relate to each other, how it is put together .Structure may also refer to:* architectural structure, a man made structure used or intended for supporting or sheltering any use or continuous… … Wikipedia
Mathematical economics — Economics … Wikipedia
Structure (mathematics) — In mathematics, structure can refer to: * Mathematical structure ndash; extra objects attached to a set that endow it with extra meaning or significance. * A structure in mathematical logic, sometimes called a model, gives a concrete… … Wikipedia
Mathematical logic — (also known as symbolic logic) is a subfield of mathematics with close connections to foundations of mathematics, theoretical computer science and philosophical logic.[1] The field includes both the mathematical study of logic and the… … Wikipedia
Mathematical Association — Abbreviation MA Formation 1871 Legal status Non profit organisation and registered charity Purpose/focus Professional organisation for mathematics educators Location … Wikipedia
Mathematical and theoretical biology — is an interdisciplinary scientific research field with a range of applications in biology, medicine and biotechnology.[1] The field may be referred to as mathematical biology or biomathematics to stress the mathematical side, or as theoretical… … Wikipedia