-
1 learning needs
-
2 learning needs
Образование: цели обучения -
3 own needs
-
4 open learning
HRa flexible approach to a course of study that allows individuals to learn at a time, place, and pace to suit their needs. A typical open learning program might offer the student a variety of delivery methods, including tutorials, workshops, formal lectures, and the Internet, supported by a variety of learning materials such as textbooks, workbooks, and video, audio, and computer-based materials. -
5 CPD
abbr. HRcontinuing professional development: ongoing training and education throughout a career to improve the skills and knowledge used to perform a job or succession of jobs. CPD should be a planned, structured process, involving the assessment of development needs and the tailoring of training to meet those needs. CPD is founded on the belief that the development of professionals should not finish after initial qualification, especially in a fast changing business environment in which skills are likely to obsolesce quickly. CPD requires commitment and resources from the employee, the employer, and supportive agencies such as professional bodies. Advocates of CPD argue that it can enhance employability and career development by keeping skills up to date and broadening a person’s skill base. Dominic Cadbury has said that CPD should be centered on the individual, who must take responsibility for the continuing assessment and satisfaction of his or her own development needs. Much can be found in support of the principle of CPD in the concepts of David Kolb’s experiential learning cycle, Peter Honey and Alan Mumford’s learning types, the personal development cycle, and lifelong learning. -
6 earning
HRthe facilitation of learning through the Internet or an intranet. E-learning is a development from computerbased training and consists of self-contained learning materials and resources that can be used at the pace and convenience of the learner. An e-learning package normally incorporates some form of test that can demonstrate how much an e-learner has assimilated from a course, as well as some form of monitoring to enable managers to check the use of the system of e-learning. Successful elearning depends largely on the selfmotivation of individuals to study effectively. Because it is Internet-based, it has excellent potential to respond to a company’s rapidly changing needs and offer new learning opportunities relevant to a company’s new position very quickly. -
7 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
-
8 training
HRactivities designed to facilitate the learning and development of new and existing skills, and to improve the performance of specific tasks or roles. Training may involve structured programs or more informal and interactive activities, such as group discussion or role playing, which promote experiential learning. A wide variety of activities, including classroom-based courses, on-thejob training, and business or simulation games, are used for training. Audio-visual and multimedia aids such as videos and CDROMs may also be employed. Training may be provided by an internal training officer or department, or by external training organizations. The effectiveness of training can be maximized by conducting a training needs analysis beforehand, and following up with evaluation of training. Training should result in individual learning and enhanced organizational performance. -
9 modular data center
модульный центр обработки данных (ЦОД)
-
[Интент]Параллельные тексты EN-RU
[ http://dcnt.ru/?p=9299#more-9299]
Data Centers are a hot topic these days. No matter where you look, this once obscure aspect of infrastructure is getting a lot of attention. For years, there have been cost pressures on IT operations and this, when the need for modern capacity is greater than ever, has thrust data centers into the spotlight. Server and rack density continues to rise, placing DC professionals and businesses in tighter and tougher situations while they struggle to manage their IT environments. And now hyper-scale cloud infrastructure is taking traditional technologies to limits never explored before and focusing the imagination of the IT industry on new possibilities.
В настоящее время центры обработки данных являются широко обсуждаемой темой. Куда ни посмотришь, этот некогда малоизвестный аспект инфраструктуры привлекает все больше внимания. Годами ИТ-отделы испытывали нехватку средств и это выдвинуло ЦОДы в центр внимания, в то время, когда необходимость в современных ЦОДах стала как никогда высокой. Плотность серверов и стоек продолжают расти, все больше усложняя ситуацию для специалистов в области охлаждения и организаций в их попытках управлять своими ИТ-средами. И теперь гипермасштабируемая облачная инфраструктура подвергает традиционные технологии невиданным ранее нагрузкам, и заставляет ИТ-индустрию искать новые возможности.
At Microsoft, we have focused a lot of thought and research around how to best operate and maintain our global infrastructure and we want to share those learnings. While obviously there are some aspects that we keep to ourselves, we have shared how we operate facilities daily, our technologies and methodologies, and, most importantly, how we monitor and manage our facilities. Whether it’s speaking at industry events, inviting customers to our “Microsoft data center conferences” held in our data centers, or through other media like blogging and white papers, we believe sharing best practices is paramount and will drive the industry forward. So in that vein, we have some interesting news to share.
В компании MicroSoft уделяют большое внимание изучению наилучших методов эксплуатации и технического обслуживания своей глобальной инфраструктуры и делятся результатами своих исследований. И хотя мы, конечно, не раскрываем некоторые аспекты своих исследований, мы делимся повседневным опытом эксплуатации дата-центров, своими технологиями и методологиями и, что важнее всего, методами контроля и управления своими объектами. Будь то доклады на отраслевых событиях, приглашение клиентов на наши конференции, которые посвящены центрам обработки данных MicroSoft, и проводятся в этих самых дата-центрах, или использование других средств, например, блоги и спецификации, мы уверены, что обмен передовым опытом имеет первостепенное значение и будет продвигать отрасль вперед.
Today we are sharing our Generation 4 Modular Data Center plan. This is our vision and will be the foundation of our cloud data center infrastructure in the next five years. We believe it is one of the most revolutionary changes to happen to data centers in the last 30 years. Joining me, in writing this blog are Daniel Costello, my director of Data Center Research and Engineering and Christian Belady, principal power and cooling architect. I feel their voices will add significant value to driving understanding around the many benefits included in this new design paradigm.
Сейчас мы хотим поделиться своим планом модульного дата-центра четвертого поколения. Это наше видение и оно будет основанием для инфраструктуры наших облачных дата-центров в ближайшие пять лет. Мы считаем, что это одно из самых революционных изменений в дата-центрах за последние 30 лет. Вместе со мной в написании этого блога участвовали Дэниел Костелло, директор по исследованиям и инжинирингу дата-центров, и Кристиан Белади, главный архитектор систем энергоснабжения и охлаждения. Мне кажется, что их авторитет придаст больше веса большому количеству преимуществ, включенных в эту новую парадигму проектирования.
Our “Gen 4” modular data centers will take the flexibility of containerized servers—like those in our Chicago data center—and apply it across the entire facility. So what do we mean by modular? Think of it like “building blocks”, where the data center will be composed of modular units of prefabricated mechanical, electrical, security components, etc., in addition to containerized servers.
Was there a key driver for the Generation 4 Data Center?Наши модульные дата-центры “Gen 4” будут гибкими с контейнерами серверов – как серверы в нашем чикагском дата-центре. И гибкость будет применяться ко всему ЦОД. Итак, что мы подразумеваем под модульностью? Мы думаем о ней как о “строительных блоках”, где дата-центр будет состоять из модульных блоков изготовленных в заводских условиях электрических систем и систем охлаждения, а также систем безопасности и т.п., в дополнение к контейнеризованным серверам.
Был ли ключевой стимул для разработки дата-центра четвертого поколения?
If we were to summarize the promise of our Gen 4 design into a single sentence it would be something like this: “A highly modular, scalable, efficient, just-in-time data center capacity program that can be delivered anywhere in the world very quickly and cheaply, while allowing for continued growth as required.” Sounds too good to be true, doesn’t it? Well, keep in mind that these concepts have been in initial development and prototyping for over a year and are based on cumulative knowledge of previous facility generations and the advances we have made since we began our investments in earnest on this new design.Если бы нам нужно было обобщить достоинства нашего проекта Gen 4 в одном предложении, это выглядело бы следующим образом: “Центр обработки данных с высоким уровнем модульности, расширяемости, и энергетической эффективности, а также возможностью постоянного расширения, в случае необходимости, который можно очень быстро и дешево развертывать в любом месте мира”. Звучит слишком хорошо для того чтобы быть правдой, не так ли? Ну, не забывайте, что эти концепции находились в процессе начальной разработки и создания опытного образца в течение более одного года и основываются на опыте, накопленном в ходе развития предыдущих поколений ЦОД, а также успехах, сделанных нами со времени, когда мы начали вкладывать серьезные средства в этот новый проект.
One of the biggest challenges we’ve had at Microsoft is something Mike likes to call the ‘Goldilock’s Problem’. In a nutshell, the problem can be stated as:
The worst thing we can do in delivering facilities for the business is not have enough capacity online, thus limiting the growth of our products and services.Одну из самых больших проблем, с которыми приходилось сталкиваться Майкрософт, Майк любит называть ‘Проблемой Лютика’. Вкратце, эту проблему можно выразить следующим образом:
Самое худшее, что может быть при строительстве ЦОД для бизнеса, это не располагать достаточными производственными мощностями, и тем самым ограничивать рост наших продуктов и сервисов.The second worst thing we can do in delivering facilities for the business is to have too much capacity online.
А вторым самым худшим моментом в этой сфере может слишком большое количество производственных мощностей.
This has led to a focus on smart, intelligent growth for the business — refining our overall demand picture. It can’t be too hot. It can’t be too cold. It has to be ‘Just Right!’ The capital dollars of investment are too large to make without long term planning. As we struggled to master these interesting challenges, we had to ensure that our technological plan also included solutions for the business and operational challenges we faced as well.
So let’s take a high level look at our Generation 4 designЭто заставило нас сосредоточиваться на интеллектуальном росте для бизнеса — refining our overall demand picture. Это не должно быть слишком горячим. И это не должно быть слишком холодным. Это должно быть ‘как раз, таким как надо!’ Нельзя делать такие большие капиталовложения без долгосрочного планирования. Пока мы старались решить эти интересные проблемы, мы должны были гарантировать, что наш технологический план будет также включать решения для коммерческих и эксплуатационных проблем, с которыми нам также приходилось сталкиваться.
Давайте рассмотрим наш проект дата-центра четвертого поколенияAre you ready for some great visuals? Check out this video at Soapbox. Click here for the Microsoft 4th Gen Video.
It’s a concept video that came out of my Data Center Research and Engineering team, under Daniel Costello, that will give you a view into what we think is the future.
From a configuration, construct-ability and time to market perspective, our primary goals and objectives are to modularize the whole data center. Not just the server side (like the Chicago facility), but the mechanical and electrical space as well. This means using the same kind of parts in pre-manufactured modules, the ability to use containers, skids, or rack-based deployments and the ability to tailor the Redundancy and Reliability requirements to the application at a very specific level.
Посмотрите это видео, перейдите по ссылке для просмотра видео о Microsoft 4th Gen:
Это концептуальное видео, созданное командой отдела Data Center Research and Engineering, возглавляемого Дэниелом Костелло, которое даст вам наше представление о будущем.
С точки зрения конфигурации, строительной технологичности и времени вывода на рынок, нашими главными целями и задачами агрегатирование всего дата-центра. Не только серверную часть, как дата-центр в Чикаго, но также системы охлаждения и электрические системы. Это означает применение деталей одного типа в сборных модулях, возможность использования контейнеров, салазок, или стоечных систем, а также возможность подстраивать требования избыточности и надежности для данного приложения на очень специфичном уровне.Our goals from a cost perspective were simple in concept but tough to deliver. First and foremost, we had to reduce the capital cost per critical Mega Watt by the class of use. Some applications can run with N-level redundancy in the infrastructure, others require a little more infrastructure for support. These different classes of infrastructure requirements meant that optimizing for all cost classes was paramount. At Microsoft, we are not a one trick pony and have many Online products and services (240+) that require different levels of operational support. We understand that and ensured that we addressed it in our design which will allow us to reduce capital costs by 20%-40% or greater depending upon class.
Нашими целями в области затрат были концептуально простыми, но трудно реализуемыми. В первую очередь мы должны были снизить капитальные затраты в пересчете на один мегаватт, в зависимости от класса резервирования. Некоторые приложения могут вполне работать на базе инфраструктуры с резервированием на уровне N, то есть без резервирования, а для работы других приложений требуется больше инфраструктуры. Эти разные классы требований инфраструктуры подразумевали, что оптимизация всех классов затрат имеет преобладающее значение. В Майкрософт мы не ограничиваемся одним решением и располагаем большим количеством интерактивных продуктов и сервисов (240+), которым требуются разные уровни эксплуатационной поддержки. Мы понимаем это, и учитываем это в своем проекте, который позволит нам сокращать капитальные затраты на 20%-40% или более в зависимости от класса.For example, non-critical or geo redundant applications have low hardware reliability requirements on a location basis. As a result, Gen 4 can be configured to provide stripped down, low-cost infrastructure with little or no redundancy and/or temperature control. Let’s say an Online service team decides that due to the dramatically lower cost, they will simply use uncontrolled outside air with temperatures ranging 10-35 C and 20-80% RH. The reality is we are already spec-ing this for all of our servers today and working with server vendors to broaden that range even further as Gen 4 becomes a reality. For this class of infrastructure, we eliminate generators, chillers, UPSs, and possibly lower costs relative to traditional infrastructure.
Например, некритичные или гео-избыточные системы имеют низкие требования к аппаратной надежности на основе местоположения. В результате этого, Gen 4 можно конфигурировать для упрощенной, недорогой инфраструктуры с низким уровнем (или вообще без резервирования) резервирования и / или температурного контроля. Скажем, команда интерактивного сервиса решает, что, в связи с намного меньшими затратами, они будут просто использовать некондиционированный наружный воздух с температурой 10-35°C и влажностью 20-80% RH. В реальности мы уже сегодня предъявляем эти требования к своим серверам и работаем с поставщиками серверов над еще большим расширением диапазона температур, так как наш модуль и подход Gen 4 становится реальностью. Для подобного класса инфраструктуры мы удаляем генераторы, чиллеры, ИБП, и, возможно, будем предлагать более низкие затраты, по сравнению с традиционной инфраструктурой.
Applications that demand higher level of redundancy or temperature control will use configurations of Gen 4 to meet those needs, however, they will also cost more (but still less than traditional data centers). We see this cost difference driving engineering behavioral change in that we predict more applications will drive towards Geo redundancy to lower costs.
Системы, которым требуется более высокий уровень резервирования или температурного контроля, будут использовать конфигурации Gen 4, отвечающие этим требованиям, однако, они будут также стоить больше. Но все равно они будут стоить меньше, чем традиционные дата-центры. Мы предвидим, что эти различия в затратах будут вызывать изменения в методах инжиниринга, и по нашим прогнозам, это будет выражаться в переходе все большего числа систем на гео-избыточность и меньшие затраты.
Another cool thing about Gen 4 is that it allows us to deploy capacity when our demand dictates it. Once finalized, we will no longer need to make large upfront investments. Imagine driving capital costs more closely in-line with actual demand, thus greatly reducing time-to-market and adding the capacity Online inherent in the design. Also reduced is the amount of construction labor required to put these “building blocks” together. Since the entire platform requires pre-manufacture of its core components, on-site construction costs are lowered. This allows us to maximize our return on invested capital.
Еще одно достоинство Gen 4 состоит в том, что он позволяет нам разворачивать дополнительные мощности, когда нам это необходимо. Как только мы закончим проект, нам больше не нужно будет делать большие начальные капиталовложения. Представьте себе возможность более точного согласования капитальных затрат с реальными требованиями, и тем самым значительного снижения времени вывода на рынок и интерактивного добавления мощностей, предусматриваемого проектом. Также снижен объем строительных работ, требуемых для сборки этих “строительных блоков”. Поскольку вся платформа требует предварительного изготовления ее базовых компонентов, затраты на сборку также снижены. Это позволит нам увеличить до максимума окупаемость своих капиталовложений.
Мы все подвергаем сомнениюIn our design process, we questioned everything. You may notice there is no roof and some might be uncomfortable with this. We explored the need of one and throughout our research we got some surprising (positive) results that showed one wasn’t needed.
В своем процессе проектирования мы все подвергаем сомнению. Вы, наверное, обратили внимание на отсутствие крыши, и некоторым специалистам это могло не понравиться. Мы изучили необходимость в крыше и в ходе своих исследований получили удивительные результаты, которые показали, что крыша не нужна.
Серийное производство дата центров
In short, we are striving to bring Henry Ford’s Model T factory to the data center. http://en.wikipedia.org/wiki/Henry_Ford#Model_T. Gen 4 will move data centers from a custom design and build model to a commoditized manufacturing approach. We intend to have our components built in factories and then assemble them in one location (the data center site) very quickly. Think about how a computer, car or plane is built today. Components are manufactured by different companies all over the world to a predefined spec and then integrated in one location based on demands and feature requirements. And just like Henry Ford’s assembly line drove the cost of building and the time-to-market down dramatically for the automobile industry, we expect Gen 4 to do the same for data centers. Everything will be pre-manufactured and assembled on the pad.Мы хотим применить модель автомобильной фабрики Генри Форда к дата-центру. Проект Gen 4 будет способствовать переходу от модели специализированного проектирования и строительства к товарно-производственному, серийному подходу. Мы намерены изготавливать свои компоненты на заводах, а затем очень быстро собирать их в одном месте, в месте строительства дата-центра. Подумайте о том, как сегодня изготавливается компьютер, автомобиль или самолет. Компоненты изготавливаются по заранее определенным спецификациям разными компаниями во всем мире, затем собираются в одном месте на основе спроса и требуемых характеристик. И точно так же как сборочный конвейер Генри Форда привел к значительному уменьшению затрат на производство и времени вывода на рынок в автомобильной промышленности, мы надеемся, что Gen 4 сделает то же самое для дата-центров. Все будет предварительно изготавливаться и собираться на месте.
Невероятно энергоэффективный ЦОД
And did we mention that this platform will be, overall, incredibly energy efficient? From a total energy perspective not only will we have remarkable PUE values, but the total cost of energy going into the facility will be greatly reduced as well. How much energy goes into making concrete? Will we need as much of it? How much energy goes into the fuel of the construction vehicles? This will also be greatly reduced! A key driver is our goal to achieve an average PUE at or below 1.125 by 2012 across our data centers. More than that, we are on a mission to reduce the overall amount of copper and water used in these facilities. We believe these will be the next areas of industry attention when and if the energy problem is solved. So we are asking today…“how can we build a data center with less building”?А мы упоминали, что эта платформа будет, в общем, невероятно энергоэффективной? С точки зрения общей энергии, мы получим не только поразительные значения PUE, но общая стоимость энергии, затраченной на объект будет также значительно снижена. Сколько энергии идет на производство бетона? Нам нужно будет столько энергии? Сколько энергии идет на питание инженерных строительных машин? Это тоже будет значительно снижено! Главным стимулом является достижение среднего PUE не больше 1.125 для всех наших дата-центров к 2012 году. Более того, у нас есть задача сокращения общего количества меди и воды в дата-центрах. Мы думаем, что эти задачи станут следующей заботой отрасли после того как будет решена энергетическая проблема. Итак, сегодня мы спрашиваем себя…“как можно построить дата-центр с меньшим объемом строительных работ”?
Строительство дата центров без чиллеровWe have talked openly and publicly about building chiller-less data centers and running our facilities using aggressive outside economization. Our sincerest hope is that Gen 4 will completely eliminate the use of water. Today’s data centers use massive amounts of water and we see water as the next scarce resource and have decided to take a proactive stance on making water conservation part of our plan.
Мы открыто и публично говорили о строительстве дата-центров без чиллеров и активном использовании в наших центрах обработки данных технологий свободного охлаждения или фрикулинга. Мы искренне надеемся, что Gen 4 позволит полностью отказаться от использования воды. Современные дата-центры расходуют большие объемы воды и так как мы считаем воду следующим редким ресурсом, мы решили принять упреждающие меры и включить экономию воды в свой план.
By sharing this with the industry, we believe everyone can benefit from our methodology. While this concept and approach may be intimidating (or downright frightening) to some in the industry, disclosure ultimately is better for all of us.
Делясь этим опытом с отраслью, мы считаем, что каждый сможет извлечь выгоду из нашей методологией. Хотя эта концепция и подход могут показаться пугающими (или откровенно страшными) для некоторых отраслевых специалистов, раскрывая свои планы мы, в конечном счете, делаем лучше для всех нас.
Gen 4 design (even more than just containers), could reduce the ‘religious’ debates in our industry. With the central spine infrastructure in place, containers or pre-manufactured server halls can be either AC or DC, air-side economized or water-side economized, or not economized at all (though the sanity of that might be questioned). Gen 4 will allow us to decommission, repair and upgrade quickly because everything is modular. No longer will we be governed by the initial decisions made when constructing the facility. We will have almost unlimited use and re-use of the facility and site. We will also be able to use power in an ultra-fluid fashion moving load from critical to non-critical as use and capacity requirements dictate.
Проект Gen 4 позволит уменьшить ‘религиозные’ споры в нашей отрасли. Располагая базовой инфраструктурой, контейнеры или сборные серверные могут оборудоваться системами переменного или постоянного тока, воздушными или водяными экономайзерами, или вообще не использовать экономайзеры. Хотя можно подвергать сомнению разумность такого решения. Gen 4 позволит нам быстро выполнять работы по выводу из эксплуатации, ремонту и модернизации, поскольку все будет модульным. Мы больше не будем руководствоваться начальными решениями, принятыми во время строительства дата-центра. Мы сможем использовать этот дата-центр и инфраструктуру в течение почти неограниченного периода времени. Мы также сможем применять сверхгибкие методы использования электрической энергии, переводя оборудование в режимы критической или некритической нагрузки в соответствии с требуемой мощностью.
Gen 4 – это стандартная платформаFinally, we believe this is a big game changer. Gen 4 will provide a standard platform that our industry can innovate around. For example, all modules in our Gen 4 will have common interfaces clearly defined by our specs and any vendor that meets these specifications will be able to plug into our infrastructure. Whether you are a computer vendor, UPS vendor, generator vendor, etc., you will be able to plug and play into our infrastructure. This means we can also source anyone, anywhere on the globe to minimize costs and maximize performance. We want to help motivate the industry to further innovate—with innovations from which everyone can reap the benefits.
Наконец, мы уверены, что это будет фактором, который значительно изменит ситуацию. Gen 4 будет представлять собой стандартную платформу, которую отрасль сможет обновлять. Например, все модули в нашем Gen 4 будут иметь общепринятые интерфейсы, четко определяемые нашими спецификациями, и оборудование любого поставщика, которое отвечает этим спецификациям можно будет включать в нашу инфраструктуру. Независимо от того производите вы компьютеры, ИБП, генераторы и т.п., вы сможете включать свое оборудование нашу инфраструктуру. Это означает, что мы также сможем обеспечивать всех, в любом месте земного шара, тем самым сводя до минимума затраты и максимальной увеличивая производительность. Мы хотим создать в отрасли мотивацию для дальнейших инноваций – инноваций, от которых каждый сможет получать выгоду.
Главные характеристики дата-центров четвертого поколения Gen4To summarize, the key characteristics of our Generation 4 data centers are:
Scalable
Plug-and-play spine infrastructure
Factory pre-assembled: Pre-Assembled Containers (PACs) & Pre-Manufactured Buildings (PMBs)
Rapid deployment
De-mountable
Reduce TTM
Reduced construction
Sustainable measuresНиже приведены главные характеристики дата-центров четвертого поколения Gen 4:
Расширяемость;
Готовая к использованию базовая инфраструктура;
Изготовление в заводских условиях: сборные контейнеры (PAC) и сборные здания (PMB);
Быстрота развертывания;
Возможность демонтажа;
Снижение времени вывода на рынок (TTM);
Сокращение сроков строительства;
Экологичность;Map applications to DC Class
We hope you join us on this incredible journey of change and innovation!
Long hours of research and engineering time are invested into this process. There are still some long days and nights ahead, but the vision is clear. Rest assured however, that we as refine Generation 4, the team will soon be looking to Generation 5 (even if it is a bit farther out). There is always room to get better.
Использование систем электропитания постоянного тока.
Мы надеемся, что вы присоединитесь к нам в этом невероятном путешествии по миру изменений и инноваций!
На этот проект уже потрачены долгие часы исследований и проектирования. И еще предстоит потратить много дней и ночей, но мы имеем четкое представление о конечной цели. Однако будьте уверены, что как только мы доведем до конца проект модульного дата-центра четвертого поколения, мы вскоре начнем думать о проекте дата-центра пятого поколения. Всегда есть возможность для улучшений.So if you happen to come across Goldilocks in the forest, and you are curious as to why she is smiling you will know that she feels very good about getting very close to ‘JUST RIGHT’.
Generations of Evolution – some background on our data center designsТак что, если вы встретите в лесу девочку по имени Лютик, и вам станет любопытно, почему она улыбается, вы будете знать, что она очень довольна тем, что очень близко подошла к ‘ОПИМАЛЬНОМУ РЕШЕНИЮ’.
Поколения эволюции – история развития наших дата-центровWe thought you might be interested in understanding what happened in the first three generations of our data center designs. When Ray Ozzie wrote his Software plus Services memo it posed a very interesting challenge to us. The winds of change were at ‘tornado’ proportions. That “plus Services” tag had some significant (and unstated) challenges inherent to it. The first was that Microsoft was going to evolve even further into an operations company. While we had been running large scale Internet services since 1995, this development lead us to an entirely new level. Additionally, these “services” would span across both Internet and Enterprise businesses. To those of you who have to operate “stuff”, you know that these are two very different worlds in operational models and challenges. It also meant that, to achieve the same level of reliability and performance required our infrastructure was going to have to scale globally and in a significant way.
Мы подумали, что может быть вам будет интересно узнать историю первых трех поколений наших центров обработки данных. Когда Рэй Оззи написал свою памятную записку Software plus Services, он поставил перед нами очень интересную задачу. Ветра перемен двигались с ураганной скоростью. Это окончание “plus Services” скрывало в себе какие-то значительные и неопределенные задачи. Первая заключалась в том, что Майкрософт собиралась в еще большей степени стать операционной компанией. Несмотря на то, что мы управляли большими интернет-сервисами, начиная с 1995 г., эта разработка подняла нас на абсолютно новый уровень. Кроме того, эти “сервисы” охватывали интернет-компании и корпорации. Тем, кому приходится всем этим управлять, известно, что есть два очень разных мира в области операционных моделей и задач. Это также означало, что для достижения такого же уровня надежности и производительности требовалось, чтобы наша инфраструктура располагала значительными возможностями расширения в глобальных масштабах.
It was that intense atmosphere of change that we first started re-evaluating data center technology and processes in general and our ideas began to reach farther than what was accepted by the industry at large. This was the era of Generation 1. As we look at where most of the world’s data centers are today (and where our facilities were), it represented all the known learning and design requirements that had been in place since IBM built the first purpose-built computer room. These facilities focused more around uptime, reliability and redundancy. Big infrastructure was held accountable to solve all potential environmental shortfalls. This is where the majority of infrastructure in the industry still is today.
Именно в этой атмосфере серьезных изменений мы впервые начали переоценку ЦОД-технологий и технологий вообще, и наши идеи начали выходить за пределы общепринятых в отрасли представлений. Это была эпоха ЦОД первого поколения. Когда мы узнали, где сегодня располагается большинство мировых дата-центров и где находятся наши предприятия, это представляло весь опыт и навыки проектирования, накопленные со времени, когда IBM построила первую серверную. В этих ЦОД больше внимания уделялось бесперебойной работе, надежности и резервированию. Большая инфраструктура была призвана решать все потенциальные экологические проблемы. Сегодня большая часть инфраструктуры все еще находится на этом этапе своего развития.
We soon realized that traditional data centers were quickly becoming outdated. They were not keeping up with the demands of what was happening technologically and environmentally. That’s when we kicked off our Generation 2 design. Gen 2 facilities started taking into account sustainability, energy efficiency, and really looking at the total cost of energy and operations.
Очень быстро мы поняли, что стандартные дата-центры очень быстро становятся устаревшими. Они не поспевали за темпами изменений технологических и экологических требований. Именно тогда мы стали разрабатывать ЦОД второго поколения. В этих дата-центрах Gen 2 стали принимать во внимание такие факторы как устойчивое развитие, энергетическая эффективность, а также общие энергетические и эксплуатационные.
No longer did we view data centers just for the upfront capital costs, but we took a hard look at the facility over the course of its life. Our Quincy, Washington and San Antonio, Texas facilities are examples of our Gen 2 data centers where we explored and implemented new ways to lessen the impact on the environment. These facilities are considered two leading industry examples, based on their energy efficiency and ability to run and operate at new levels of scale and performance by leveraging clean hydro power (Quincy) and recycled waste water (San Antonio) to cool the facility during peak cooling months.
Мы больше не рассматривали дата-центры только с точки зрения начальных капитальных затрат, а внимательно следили за работой ЦОД на протяжении его срока службы. Наши объекты в Куинси, Вашингтоне, и Сан-Антонио, Техас, являются образцами наших ЦОД второго поколения, в которых мы изучали и применяли на практике новые способы снижения воздействия на окружающую среду. Эти объекты считаются двумя ведущими отраслевыми примерами, исходя из их энергетической эффективности и способности работать на новых уровнях производительности, основанных на использовании чистой энергии воды (Куинси) и рециклирования отработанной воды (Сан-Антонио) для охлаждения объекта в самых жарких месяцах.
As we were delivering our Gen 2 facilities into steel and concrete, our Generation 3 facilities were rapidly driving the evolution of the program. The key concepts for our Gen 3 design are increased modularity and greater concentration around energy efficiency and scale. The Gen 3 facility will be best represented by the Chicago, Illinois facility currently under construction. This facility will seem very foreign compared to the traditional data center concepts most of the industry is comfortable with. In fact, if you ever sit around in our container hanger in Chicago it will look incredibly different from a traditional raised-floor data center. We anticipate this modularization will drive huge efficiencies in terms of cost and operations for our business. We will also introduce significant changes in the environmental systems used to run our facilities. These concepts and processes (where applicable) will help us gain even greater efficiencies in our existing footprint, allowing us to further maximize infrastructure investments.
Так как наши ЦОД второго поколения строились из стали и бетона, наши центры обработки данных третьего поколения начали их быстро вытеснять. Главными концептуальными особенностями ЦОД третьего поколения Gen 3 являются повышенная модульность и большее внимание к энергетической эффективности и масштабированию. Дата-центры третьего поколения лучше всего представлены объектом, который в настоящее время строится в Чикаго, Иллинойс. Этот ЦОД будет выглядеть очень необычно, по сравнению с общепринятыми в отрасли представлениями о дата-центре. Действительно, если вам когда-либо удастся побывать в нашем контейнерном ангаре в Чикаго, он покажется вам совершенно непохожим на обычный дата-центр с фальшполом. Мы предполагаем, что этот модульный подход будет способствовать значительному повышению эффективности нашего бизнеса в отношении затрат и операций. Мы также внесем существенные изменения в климатические системы, используемые в наших ЦОД. Эти концепции и технологии, если применимо, позволят нам добиться еще большей эффективности наших существующих дата-центров, и тем самым еще больше увеличивать капиталовложения в инфраструктуру.
This is definitely a journey, not a destination industry. In fact, our Generation 4 design has been under heavy engineering for viability and cost for over a year. While the demand of our commercial growth required us to make investments as we grew, we treated each step in the learning as a process for further innovation in data centers. The design for our future Gen 4 facilities enabled us to make visionary advances that addressed the challenges of building, running, and operating facilities all in one concerted effort.
Это определенно путешествие, а не конечный пункт назначения. На самом деле, наш проект ЦОД четвертого поколения подвергался серьезным испытаниям на жизнеспособность и затраты на протяжении целого года. Хотя необходимость в коммерческом росте требовала от нас постоянных капиталовложений, мы рассматривали каждый этап своего развития как шаг к будущим инновациям в области дата-центров. Проект наших будущих ЦОД четвертого поколения Gen 4 позволил нам делать фантастические предположения, которые касались задач строительства, управления и эксплуатации объектов как единого упорядоченного процесса.
Тематики
Синонимы
EN
Англо-русский словарь нормативно-технической терминологии > modular data center
-
10 good
1. adjective,1) (satisfactory) gut; (reliable) gut; zuverlässig; (sufficient) gut; ausreichend [Vorrat]; ausgiebig [Mahl]; (competent) gut; geeignethis good eye/leg — sein gesundes Auge/Bein
Late again! It's just not good enough! — (coll.) Schon wieder zu spät. So geht es einfach nicht!
be good at something — in etwas (Dat.) gut sein
speak good English — gut[es] Englisch sprechen
be good with people — etc. mit Menschen usw. gut od. leicht zurechtkommen
2) (favourable, advantageous) gut; günstig [Gelegenheit, Augenblick, Angebot]too good to be true — zu schön, um wahr zu sein
the good thing about it is that... — das Gute daran ist, dass...
be too much of a good thing — zu viel des Guten sein
you can have too much of a good thing — man kann es auch übertreiben
be good for somebody/something — gut für jemanden/etwas sein
eat more than is good for one — mehr essen, als einem guttut
it's a good thing you told him — nur gut, dass du es ihm gesagt hast
3) (prosperous) gut4) (enjoyable) schön [Leben, Urlaub, Wochenende]the good old days — die gute alte Zeit
the good life — das angenehme[, sorglose] Leben
have a good time! — viel Spaß od. Vergnügen!
it's good to be home again — es ist schön, wieder zu Hause zu sein
Did you have a good day at the office? — Wie war es heute im Büro?
5) (cheerful) gut; angenehm [Patient]good humour or spirits or mood — gute Laune
I'm not feeling too good — (coll.) mir geht es nicht sehr gut
6) (well-behaved) gut; bravbe good!, be a good girl/boy! — sei brav od. lieb!
[as] good as gold — ganz artig od. brav
would you be so good as to or good enough to do that? — wären Sie so freundlich od. nett, das zu tun?
that/it is good of you — das/es ist nett od. lieb von dir
8) (commendable) gutgood for you — etc. (coll.) bravo!
good old Jim — etc. (coll.) der gute alte Jim usw. (ugs.)
my good man/friend — (coll.) mein lieber Herr/Freund (ugs.; auch iron.)
that's a good one — (coll.) der ist gut! (ugs.); (iron.) das ist'n Ding! (ugs.)
9) (attractive) schön; gut [Figur, Haltung]; gepflegt [Erscheinung, Äußeres]; wohlgeformt [Beine]10) (thorough) guthave a good weep/rest/sleep — sich richtig ausweinen/ausruhen/[sich] richtig ausschlafen (ugs.)
11) (considerable) [recht] ansehnlich [Menschenmenge]; ganz schön, ziemlich (ugs.) [Stück Wegs, Entfernung, Zeitraum, Strecke]; gut, anständig [Preis, Erlös]; hoch [Alter]12) (sound, valid) gut [Grund, Rat, Gedanke]; berechtigt [Anspruch]; (Commerc.) solide [Kunde]; sicher [Anleihe, Kredit]good sense — Vernünftigkeit, die
have the good sense to do something — so vernünftig sein, etwas zu tun
13) (in greetings)good afternoon/day — guten Tag!
good evening/morning — guten Abend/Morgen!
14) in exclamation gutvery good, sir — sehr wohl!
good God/Lord — etc. see nouns
15) (best) gut [Geschirr, Anzug]16) (correct, fitting) gut; (appropriate) angebracht; ratsam17)as good as — so gut wie
18)2. adverb as intensifiermake good — (succeed) erfolgreich sein; (effect) in die Tat umsetzen; ausführen [Plan]; erfüllen [Versprechen]; (compensate for) wieder gutmachen [Fehler]; (indemnify) ersetzen [Schaden, Ausgaben]. See also academic.ru/6608/best">best 1.; better 1.
(coll.)good and... — richtig...
3. nounhit somebody good and proper — jemanden ordentlich verprügeln. See also best 2.; better 2.
1) (use) Nutzen, derbe some good to somebody/something — jemandem/einer Sache nützen
he'll never be any good — aus dem wird nichts Gutes werden
is this book any good? — taugt dieses Buch etwas?
be no good to somebody/something — für jemanden/etwas nicht zu gebrauchen sein
it is no/not much good doing something — es hat keinen/kaum einen Sinn, etwas zu tun
what's the good of...?, what good is...? — was nützt...?
2) (benefit)for your/his etc. own good — zu deinem/seinem usw. Besten od. eigenen Vorteil
for the good of mankind/the country — zum Wohl[e] der Menschheit/des Landes
do no/little good — nichts/wenig helfen od. nützen
do somebody/something good — jemandem/einer Sache nützen; [Ruhe, Erholung:] jemandem/einer Sache gut tun; [Arznei:] jemandem/einer Sache helfen
I'll tell him, but what good will that do? — ich sag es ihm, aber was nützt od. hilft das schon?
come home £10 to the good — mit 10 Pfund plus nach Hause kommen
3) (goodness) Gute, dasthe difference between good and bad or evil — der Unterschied zwischen Gut und Böse
4) (kind acts) Gute, dasbe up to no good — nichts Gutes im Sinn haben od. im Schilde führen
5)for good [and all] — (finally) ein für allemal; (permanently) für immer [und ewig]; endgültig
6) constr. as pl. (virtuous people)8) in pl.deliver the goods — (fig.) halten, was man verspricht
* * *[ɡud] 1. comparative - better; adjective2) (correct, desirable etc: She was a good wife; good manners; good English.) gut3) (of high quality: good food/literature; His singing is very good.) gut4) (skilful; able to do something well: a good doctor; good at tennis; good with children.) geschickt6) (helpful; beneficial: Exercise is good for you.; Cheese is good for you.) gut7) (pleased, happy etc: I'm in a good mood today.) gut9) (considerable; enough: a good salary; She talked a good deal of nonsense.) reichlich10) (suitable: a good man for the job.) geeignet12) (sensible: Can you think of one good reason for doing that?) gut13) (showing approval: We've had very good reports about you.) gut14) (thorough: a good clean.) gewissenhaft15) (healthy or in a positive mood: I don't feel very good this morning.) gut2. noun1) (advantage or benefit: He worked for the good of the poor; for your own good; What's the good of a broken-down car?) der Nutzen2) (goodness: I always try to see the good in people.) das Gute3. interjection(an expression of approval, gladness etc.) gut!- goodness4. interjection- goods- goody
- goodbye
- good-day
- good evening
- good-for-nothing
- good humour
- good-humoured
- good-humouredly
- good-looking
- good morning
- good afternoon
- good-day
- good evening
- good night
- good-natured
- goodwill
- good will
- good works
- as good as
- be as good as one's word
- be up to no good
- deliver the goods
- for good
- for goodness' sake
- good for
- good for you
- him
- Good Friday
- good gracious
- good heavens
- goodness gracious
- goodness me
- good old
- make good
- no good
- put in a good word for
- take something in good part
- take in good part
- thank goodness
- to the good* * *[gʊd]I. ADJECTIVE<better, best>1. (of high quality) gutthere's nothing like a \good book es geht nichts über ein gutes Buchshe speaks \good Spanish sie spricht gut Spanischdogs have a \good sense of smell Hunde haben einen guten Geruchssinnhe's got \good intuition about such matters er hat in diesen Dingen ein gutes Gespüryour reasons make \good sense but... deine Gründe sind durchaus einleuchtend, aber...\good show [or job]! gut gemacht!I need a \good meal now jetzt brauche ich was Ordentliches zu essen!the child had the \good sense to... das Kind besaß die Geistesgegenwart...he only has one \good leg er hat nur ein gesundes Bein\good appetite gesunder Appetitto be a \good catch eine gute Partie seina \good choice/decision eine gute Wahl/Entscheidung\good ears/eyes gute Ohren/Augento do a \good job gute Arbeit leistento be in \good shape in guter [körperlicher] Verfassung sein\good thinking gute Idee\good timing gutes Timingto be/not be \good enough gut/nicht gut genug seinthat's just not \good enough! so geht das nicht!if she says so that's \good enough for me wenn sie es sagt, reicht mir dasto be \good for nothing zu nichts taugento feel \good sich akk gut fühlenI don't feel too \good today heute geht's mir nicht besonders fam2. (skilled) gut, begabthe's a \good runner [or he's \good at running] er ist ein guter Läufershe's very \good at learning foreign languages sie ist sehr sprachbegabtthis book is \good on international export law dieses Buch ist sehr gut, wenn man etwas über internationale Exportbestimmungen erfahren möchtehe is particularly \good on American history besonders gut kennt er sich in amerikanischer Geschichte austo be \good with one's hands geschickt mit seinen Händen seinto be \good in bed gut im Bett sein famto be \good with people gut mit Leuten umgehen können3. (pleasant) schönthat was the best party in a long time das war die beste Party seit Langemit's \good to see [or seeing] you after all these years schön, dich nach all den Jahren wiederzusehen!\good morning/evening guten Morgen/Abendto have a \good day/evening einen schönen Tag/Abend habenhave a \good day schönen Tag noch!\good news gute Neuigkeitento have a \good time [viel] Spaß haben\good weather schönes Wetterto have a \good one ( fam) einen schönen Tag haben4. (appealing to senses) gut, schönafter a two-week vacation, they came back with \good tans nach zwei Wochen Urlaub kamen sie gut gebräunt zurückmost dancers have \good legs die meisten Tänzer haben schöne Beineto look/smell/sound/taste \good gut aussehen/riechen/klingen/schmeckensb looks \good in sth clothes etw steht jdmto have \good looks, to be \good-looking gut aussehen5. (favourable) guthe made a very \good impression at the interview er hat beim Vorstellungsgespräch einen sehr guten Eindruck gemachtthere's a \good chance [that]... die Chancen stehen gut, dass...we got a \good deal on our new fridge wir haben unseren neuen Kühlschrank günstig erstandenthe play got \good reviews [or a \good press] das Stück hat gute Kritiken bekommenit's a \good job we didn't go camping last weekend — the weather was awful zum Glück sind wir letztes Wochenende nicht campen gegangen — das Wetter war schrecklichthe \good life das süße Lebenbest of luck on your exams today! alles Gute für deine Prüfung heute!a \good omen ein gutes Omento be too much of a \good thing zu viel des Guten seinyou can have too much of a \good thing man kann es auch übertreiben\good times gute Zeitento be too \good to be true zu schön, um wahr zu seinto have [got] it \good ( fam) es gut haben6. (beneficial) vorteilhaft▪ to be \good for sb gut für jdn seinmilk is \good for you Milch ist gesundto be \good for business/for headaches gut fürs Geschäft/gegen Kopfschmerzen sein7. (useful) nützlich, sinnvollwe had a \good discussion on the subject wir hatten eine klärende Diskussion über die Sacheit's \good that you checked the door gut, dass du die Tür nochmal überprüft hast8. (on time)in \good time rechtzeitigbe patient, you'll hear the result all in \good time seien Sie geduldig, Sie erfahren das Ergebnis noch früh genugin one's own \good time in seinem eigenen Rhythmusto be a \good time to do sth ein guter Zeitpunkt sein, [um] etw zu tunthe college has been very \good about her health problem die Hochschule zeigte sehr viel Verständnis für ihr gesundheitliches Problemit was very \good of you to help us es war sehr lieb von dir, uns zu helfenhe's got a \good heart er hat ein gutes Herzbe so \good as to... sei doch bitte so nett und...would you be \good enough to... wären Sie so nett und...\good deeds/works gute Tatento do a \good deed eine gute Tat tun11. (moral) gutthe G\good Book die [heilige] Bibelfor a \good cause für einen guten Zweckto set a \good example to sb jdm ein gutes Vorbild seinsb's \good name/reputation jds guter Name/guter Rufto be [as] \good as one's word vertrauenswürdig sein12. (well-behaved) gut\good dog! braver Hund!be a \good girl and... sei ein liebes Mädchen [o sei so lieb] und...OK, I'll be a \good sport o.k., ich will mal kein Spielverderber seinshe's been as \good as gold all evening sie hat sich den ganzen Abend über ausgezeichnet benommento be on \good/one's best behaviour sich akk gut benehmen/von seiner besten Seite zeigen\good loser guter Verlierer/gute Verliererinthe house needs a \good clean[ing] das Haus sollte mal gründlich geputzt werdenhave a \good think about it lass es dir noch einmal gut durch den Kopf gehennow, now — have a \good cry schon gut — wein dich mal so richtig austhey have built a \good case against the suspect sie haben einen hieb- und stichfesten Fall gegen den Verdächtigen aufgebautwe had some \good fun at the amusement park wir hatten so richtig viel Spaß im Vergnügungsparka \good beating eine gründliche Tracht Prügelto have a \good laugh ordentlich lachena \good talking to eine Standpaukethis car should be \good for another year or so dieses Auto hält wohl schon noch ein Jahr oder sohe gave us a gift certificate \good for $100 er hat uns einen Geschenkgutschein über 100 Dollar überreichtthis ticket is only \good on weekends dieses Ticket gilt nur an Wochenendenmy credit card is only \good for another month meine Kreditkarte ist nur noch einen Monat gültigwe walked a \good distance today wir sind heute ein ordentliches Stück gelaufenshe makes \good money at her new job sie verdient in ihrem neuen Job gutes Geldit's a \good half hour's walk to the station from here von hier bis zum Bahnhof ist es zu Fuß eine gute halbe Stundea \good deal jede Mengeyou're looking a \good deal better now du siehst jetzt ein gutes Stück besser austo make a \good profit einen beträchtlichen Profit machena \good few/many eine ganze Mengehe is always \good for a laugh er ist immer gut für einen Witzthanks for the loan and don't worry, I'm \good for it danke für den Kredit und keine Sorge, ich zahle ihn zurückher credit is \good sie ist kreditwürdig▪ as \good as... so gut wie...our firewood is as \good as gone unser Feuerholz ist nahezu aufgebrauchtto be as \good as dead/new so gut wie tot/neu seinthey as \good as called me a liar sie nannten mich praktisch eine Lügnerin!I need a \good long holiday ich brauche mal wieder so einen richtig schönen langen Urlaub!what you need is a \good hot cup of coffee was du brauchst, ist eine gute Tasse heißen Kaffee▪ \good and...:she's really \good and mad sie ist so richtig sauerI'll do it when I'm \good and ready, and not one minute before ich mache es, sobald ich fertig bin und keine Minute früher!very \good sehr wohl! veraltet\good gracious! ach du liebe Zeit!\good grief! du meine Güte!oh, — \good for you! oh, schön für dich! iron\good old James! der gute alte James!the \good old days die gute alte Zeit23.▶ if you can't be \good, be careful ( prov) wenn man schon was anstellt, sollte man sich wenigstens nicht [dabei] erwischen lassen▶ it's as \good as it gets besser wird's nicht mehr▶ to give as \good as one gets es [jdm] mit gleicher Münze heimzahlen▶ \good to go fertig, bereit▶ to make \good zu Geld kommen▶ to make sth ⇆ \good (repair) etw reparieren; mistake etw wiedergutmachen; (pay for) etw wettmachen fam; (do successfully) etw schaffen▶ to make \good time gut in der Zeit liegen▶ for \good measure als Draufgabe, obendrein▶ \good riddance Gott sei Dank!▶ she's \good for another few years! mit ihr muss man noch ein paar Jahre rechnen!II. ADVERBboy, she can sure sing \good, can't she? Junge, die kann aber gut singen, oder?to do sth \good and proper etw richtig gründlich tunwell, you've broken the table \good and proper na, den Tisch hast du aber so richtig ruiniert!III. NOUN\good and evil Gut und Böseto be up to no \good nichts Gutes im Schilde führento do \good Gutes tun▪ the \good pl die Guten plthis medicine will do you a [or the] world of \good diese Medizin wird Ihnen unglaublich gut tunto do more harm than \good mehr schaden als nützenfor the \good of his health zum Wohle seiner Gesundheit, seiner Gesundheit zuliebefor the \good of the nation zum Wohle der Nationfor one's own \good zu seinem eigenen Bestento be no [or not to be any] /not much \good nichts/wenig nützenthat young man is no \good dieser junge Mann ist ein Taugenichtsto not do much/any \good nicht viel/nichts nützeneven a small donation can do a lot of \good auch eine kleine Spende kann eine Menge helfenthat won't do much \good das wird auch nicht viel nützenit's no \good complaining all day den ganzen Tag rumzujammern bringt auch nichts! famwhat \good is sitting alone in your room? was bringt es, hier alleine in deinem Zimmer zu sitzen?; ( iron)a lot of \good that'll do [you]! das wird [dir] ja viel nützen! iron4. (profit)we were £7,000 to the \good when we sold our house als wir unser Haus verkauften, haben wir einen Gewinn von 7.000 Pfund eingestrichen; ( fig)he was two gold medals to the \good by the end of the day am Ende des Tages war er um zwei Goldmedaillen reicher5. (ability)7.▶ for \good [and all] für immer [und ewig]* * *[gʊd]1. ADJECTIVEcomp better, superl best1) gutthat's a good one! (joke) — das ist ein guter Witz; ( usu iro : excuse ) wers glaubt, wird selig! (inf)
he tells a good story —
good fortune — Glück nt
you've never had it so good! — es ist euch noch nie so gut gegangen, ihr habt es noch nie so gut gehabt
it's too good to be true — es ist zu schön, um wahr zu sein
this is as good as it gets — besser wirds nicht mehr __diams; to be good at sth gut in etw (dat) sein
to be good at sport/languages — gut im Sport/in Sprachen sein
to be good at sewing/typing — gut nähen/tippen können
that's not good enough, you'll have to do better than that — das geht so nicht, du musst dich schon etwas mehr anstrengen
if he gives his word, that's good enough for me — wenn er sein Wort gibt, reicht mir das
her work/conduct is just not good enough —
they felt he wasn't good enough for her — sie waren der Meinung, dass er nicht gut genug für sie war
I don't feel too good — mir ist nicht gut, ich fühle mich nicht wohl
you look good in that — du siehst gut darin aus, das steht dir gut __diams; to make good mistake, damage wiedergutmachen; threat wahr machen; promise erfüllen
to make good one's losses — seine Verluste wettmachen
as good as new —
he as good as called me a liar/invited me to come — er nannte mich praktisch einen Lügner/hat mich praktisch eingeladen
2) = beneficial gutmilk is good for children to be good for toothache/one's health — Milch ist gut or gesund für Kinder gut gegen Zahnschmerzen/für die Gesundheit sein
to drink more than is good for one — mehr trinken, als einem guttut
what's good for consumers isn't always good for the economy — was gut für den Verbraucher ist, ist nicht immer gut für die Wirtschaft
3) = favourable moment, chance, opportunity günstig, gutit's a good thing or job I was there — (nur) gut, dass ich dort war
4) = enjoyable holiday, evening schöndid you have a good day? — wie wars heute?, wie gings (dir) heute?
5) = kind gut, lieb(it was) good of you to come — nett, dass Sie gekommen sind
would you be good enough to tell me... — wären Sie so nett, mir zu sagen... (also iro)
6) = virtuous name, manners, behaviour gutif you can't be good, be careful — wenn du es schon tun musst, sei wenigstens vorsichtig
7) = well-behaved artig, brav (inf)be a good girl/boy — sei artig or lieb or brav (inf)
be a good girl/boy and... — sei so lieb und...
8)good man! — sehr löblich!, gut gemacht!
the Good Book —
the car is good for another few years — das Auto hält or tuts (inf) noch ein paar Jahre
10) = handsome looks, figure, features gut; legs, body schön11) = uninjured eye, leg gesund12) = thorough gut, gründlich, tüchtig (inf)to give sb a good scolding — jdn gründlich or tüchtig (inf) ausschimpfen
to have a good laugh — ordentlich or so richtig lachen (inf)
to take a good look at sth — sich (dat) etw gut ansehen
13) = considerable hour, while gut; amount, distance, way gut, schöna good many/few people — ziemlich viele/nicht gerade wenig Leute
14) in greetings gut15) in exclamations gut, primathat's good! — gut!, prima!
very good, sir — sehr wohl (old)
on you/him etc! — gut!, prima!; (iro also) das ist ja toll!
16) emphatic use schöna good strong stick —
good and hard/strong (inf) — ganz schön fest/stark (inf)
good and proper (inf) — ganz anständig (inf)
2. ADVERB1) = fine guthow are you? – good! — wie gehts? – gut!
2) = well strictly incorrect gut3. NOUN1) = what is morally right Gute(s) ntto do good —
2) = advantage, benefit Wohl ntthis affects us, for good or ill —
it's done now, for good or ill — es ist nun einmal geschehen
I did it for your own good — ich meine es nur gut mit dir, es war nur zu deinem Besten
to do sb good — jdm helfen; (rest, drink, medicine etc) jdm guttun
much good may it do you (iro inf) — na, dann viel Vergnügen!
that won't do much/any good — das hilft auch nicht viel/auch nichts
that won't do you much/any good — das hilft dir auch nicht viel/auch nichts
3)= use
what's the good of hurrying? — wozu eigentlich die Eile?he's no good to us — er nützt uns (dat) nichts
it's no good complaining to me — es ist sinnlos or es nützt nichts, sich bei mir zu beklagen
it's no good doing it like that — es hat keinen Sinn, das so zu machen
I'm no good at things like that —
he wasn't any good for the job —
4)we were 5 points/£5 to the good — wir hatten 5 Punkte zu viel/£ 5 plus
* * *good [ɡud]A s1. Nutzen m, Wert m, Vorteil m:for his own good zu seinem eigenen Vorteil;he knows too much for his own good er weiß mehr, als ihm guttut;what good will it do?, what is the good of it?, what good is it? was hat es für einen Wert?, was nützt es?, wozu soll das gut sein?;b) obendrein, extra ( → A 2);for good (and all) für immer, endgültig, ein für alle Mala) jemandem Gutes tun,b) jemandem guttun oder wohltun;much good may it do you oft iron wohl bekomms!;the common good das Gemeinwohl;be to the good nur zu seinem etc Besten sein;come to good zum Guten ausschlagen;it comes to no good es führt zu nichts Gutem;be up to no good nichts Gutes im Schilde führen;for good or for evil auf Gedeih und Verderb5. pl bewegliches Vermögen:a) Hab n und Gut n, bewegliche Sachen, Mobiliargut n,b) umg Siebensachen6. pl WIRTSCHb) (Handels)Güter pl, (Handels)Ware(n) f(pl):goods for consumption Verbrauchs-, Konsumgüter;goods in process Halbfabrikate, -erzeugnisse;a piece of goods sl eine Mieze;7. pl US Stoffe pl, Textilien plthat’s the goods!B adj komp better [ˈbetə(r)], sup best [best]good men and true redliche und treue Männer;a good father and husband ein guter oder treu sorgender Vater und Gatte;she is a good wife to him sie ist ihm eine gute Frau2. gut (Qualität):3. gut, frisch, genießbar:is this meat still good?;a good egg ein frisches Ei4. gut, lieb, gütig, freundlich:good to the poor gut zu den Armen;5. gut, lieb, artig, brav (Kind):6. verehrt, lieb:his good lady oft iron seine liebe Frau;7. gut, geachtet:of good family aus guter Familie9. a) gut, erfreulich, angenehm (Nachrichten etc):b) schön:it’s good to be home again;too good to be true zu schön, um wahr zu sein10. gut:a) geeignet, vorteilhaft, günstig, nützlichb) gesund, zuträglichc) heilsam:a man good for the post ein geeigneter oder guter Mann für den Posten;good for colds gut gegen oder für Erkältungen;milk is good for children Milch ist gut oder gesund für Kinder;good for one’s health gesund;what is it good for? wofür ist es gut?, wozu dient es?;it is a good thing that … es ist gut oder günstig, dass …;stay away if you know what’s good for you! das rate ich dir im Guten!;11. gut, richtig, recht, angebracht, empfehlenswert, zweckmäßig:in good time zur rechten Zeit, (gerade) rechtzeitig;all in good time alles zu seiner Zeit;in one’s own good time wenn es einem passt12. gut, angemessen, ausreichend, zufriedenstellend;his word is good enough for me sein Wort genügt mir;his time is only good enough for 4th place SPORT seine Zeit reicht nur für den 4. Platz13. gut, reichlich:a good hour eine gute Stunde;it’s a good three miles to the station es sind gut drei Meilen bis zum Bahnhof14. gut, ziemlich (weit, groß), beträchtlich, bedeutend, erheblich, ansehnlich:a good many eine beträchtliche Anzahl, ziemlich viele;15. (vor adj) verstärkend:a good long time sehr lange Zeit;good old age hohes Alter;16. gültig:a) begründet, berechtigt (Anspruch etc)b) triftig, gut (Grund etc):c) echt (Geld)17. gut, überzeugt (Republikaner etc)18. gut, fähig, tüchtig:he is good at arithmetic er ist gut im Rechnen;he is good at golf er spielt gut Golf;be good with one’s hands handwerkliches Geschick habengood debts WIRTSCH sichere Schulden;be good for any amount WIRTSCH für jeden Betrag gut sein21. JUR (rechts)gültigI am good for a walk ich habe Lust zu einem Spaziergang;I am good for another mile ich könnte noch eine Meile weitermarschieren;my car is good for another 10,000 miles mein Wagen macht noch leicht 10 000 Meilen ( → B 19)C adv1. umg gut:2. as good as so gut wie, praktisch:as good as new auch neuwertigD int gut!, schön!, fein!:good for you! umg (ich) gratuliere!G abk3. good* * *1. adjective,1) (satisfactory) gut; (reliable) gut; zuverlässig; (sufficient) gut; ausreichend [Vorrat]; ausgiebig [Mahl]; (competent) gut; geeignethis good eye/leg — sein gesundes Auge/Bein
Late again! It's just not good enough! — (coll.) Schon wieder zu spät. So geht es einfach nicht!
be good at something — in etwas (Dat.) gut sein
speak good English — gut[es] Englisch sprechen
be good with people — etc. mit Menschen usw. gut od. leicht zurechtkommen
2) (favourable, advantageous) gut; günstig [Gelegenheit, Augenblick, Angebot]too good to be true — zu schön, um wahr zu sein
the good thing about it is that... — das Gute daran ist, dass...
be good for somebody/something — gut für jemanden/etwas sein
eat more than is good for one — mehr essen, als einem guttut
it's a good thing you told him — nur gut, dass du es ihm gesagt hast
3) (prosperous) gut4) (enjoyable) schön [Leben, Urlaub, Wochenende]the good life — das angenehme[, sorglose] Leben
have a good time! — viel Spaß od. Vergnügen!
it's good to be home again — es ist schön, wieder zu Hause zu sein
5) (cheerful) gut; angenehm [Patient]good humour or spirits or mood — gute Laune
I'm not feeling too good — (coll.) mir geht es nicht sehr gut
6) (well-behaved) gut; bravbe good!, be a good girl/boy! — sei brav od. lieb!
[as] good as gold — ganz artig od. brav
7) (virtuous) rechtschaffen; (kind) nett; gut [Absicht, Wünsche, Benehmen, Tat]would you be so good as to or good enough to do that? — wären Sie so freundlich od. nett, das zu tun?
that/it is good of you — das/es ist nett od. lieb von dir
8) (commendable) gutgood for you — etc. (coll.) bravo!
good old Jim — etc. (coll.) der gute alte Jim usw. (ugs.)
my good man/friend — (coll.) mein lieber Herr/Freund (ugs.; auch iron.)
that's a good one — (coll.) der ist gut! (ugs.); (iron.) das ist'n Ding! (ugs.)
9) (attractive) schön; gut [Figur, Haltung]; gepflegt [Erscheinung, Äußeres]; wohlgeformt [Beine]10) (thorough) guthave a good weep/rest/sleep — sich richtig ausweinen/ausruhen/[sich] richtig ausschlafen (ugs.)
11) (considerable) [recht] ansehnlich [Menschenmenge]; ganz schön, ziemlich (ugs.) [Stück Wegs, Entfernung, Zeitraum, Strecke]; gut, anständig [Preis, Erlös]; hoch [Alter]12) (sound, valid) gut [Grund, Rat, Gedanke]; berechtigt [Anspruch]; (Commerc.) solide [Kunde]; sicher [Anleihe, Kredit]good sense — Vernünftigkeit, die
have the good sense to do something — so vernünftig sein, etwas zu tun
13) (in greetings)good afternoon/day — guten Tag!
good evening/morning — guten Abend/Morgen!
14) in exclamation gutvery good, sir — sehr wohl!
good God/Lord — etc. see nouns
15) (best) gut [Geschirr, Anzug]16) (correct, fitting) gut; (appropriate) angebracht; ratsam17)18)2. adverb as intensifiermake good — (succeed) erfolgreich sein; (effect) in die Tat umsetzen; ausführen [Plan]; erfüllen [Versprechen]; (compensate for) wieder gutmachen [Fehler]; (indemnify) ersetzen [Schaden, Ausgaben]. See also best 1.; better 1.
(coll.)good and... — richtig...
3. nounhit somebody good and proper — jemanden ordentlich verprügeln. See also best 2.; better 2.
1) (use) Nutzen, derbe some good to somebody/something — jemandem/einer Sache nützen
be no good to somebody/something — für jemanden/etwas nicht zu gebrauchen sein
it is no/not much good doing something — es hat keinen/kaum einen Sinn, etwas zu tun
what's the good of...?, what good is...? — was nützt...?
2) (benefit)for your/his etc. own good — zu deinem/seinem usw. Besten od. eigenen Vorteil
for the good of mankind/the country — zum Wohl[e] der Menschheit/des Landes
do no/little good — nichts/wenig helfen od. nützen
do somebody/something good — jemandem/einer Sache nützen; [Ruhe, Erholung:] jemandem/einer Sache gut tun; [Arznei:] jemandem/einer Sache helfen
I'll tell him, but what good will that do? — ich sag es ihm, aber was nützt od. hilft das schon?
come home £10 to the good — mit 10 Pfund plus nach Hause kommen
3) (goodness) Gute, dasthe difference between good and bad or evil — der Unterschied zwischen Gut und Böse
4) (kind acts) Gute, dasbe up to no good — nichts Gutes im Sinn haben od. im Schilde führen
5)for good [and all] — (finally) ein für allemal; (permanently) für immer [und ewig]; endgültig
6) constr. as pl. (virtuous people)8) in pl.the goods — (coll.): (what is wanted) das Gewünschte; das Verlangte
deliver the goods — (fig.) halten, was man verspricht
* * *adj.brav adj.gut adj.lieb adj. n.Gut ¨-er n. -
11 quick
1. adjective1) schnell; kurz [Rede, Zusammenfassung, Pause]; flüchtig [Kuss, Blick usw.]it's quicker by train — mit dem Zug geht es schneller
that was/you were quick! — das ging aber schnell!
2) (prompt to act or understand) schnell [Person]; wach [Verstand]; aufgeweckt [Kind]he is very quick — er ist sehr schnell von Begriff (ugs.)
be quick to take offence — schnell od. leicht beleidigt sein
2. adverb[have] a quick temper — ein aufbrausendes Wesen [haben]
3. nounquick! — [mach] schnell!
bite one's nails to the quick — die Nägel bis zum Fleisch abkauen
be cut to the quick — (fig.) tief getroffen od. verletzt sein
* * *[kwik] 1. adjective1) (done, said, finished etc in a short time: a quick trip into town.) schnell2) (moving, or able to move, with speed: He's a very quick walker; I made a grab at the dog, but it was too quick for me.) schnell3) (doing something, able to do something, or done, without delay; prompt; lively: He is always quick to help; a quick answer; He's very quick at arithmetic.) schnell2. adverb(quickly: quick-frozen food.) schnell- academic.ru/90635/quickly">quickly- quicken
- quickness
- quicklime
- quicksands
- quicksilver
- quick-tempered
- quick-witted
- quick-wittedly
- quick-wittedness* * *[kwɪk]I. adja \quick decision eine schnelle [o rasche] [o sofortige] Entscheidungto have a \quick drink/meal [noch] schnell [o mal eben] etw trinken/essen; MIL\quick march Eilmarsch m fachspr\quick march! im Gleichschritt, marsch! fachspra \quick one ( fig fam: drink) ein Schluck m auf die Schnelle fam; (sex) ein Quickie m fam, eine schnelle Nummer fig famto have a \quick one ( fig fam) drink einen auf die Schnelle kippen fam; sex eine schnelle Nummer schieben famin \quick succession in schneller [o rascher] [Ab]folge, schnell [o kurz] nacheinanderto have a \quick temper ( fig pej) ein rasch aufbrausendes Temperament haben, sich akk schnell aufregenmy boss needs a \quick answer mein Chef braucht eine rasche Antworthe is always \quick to criticize mit Kritik ist er rasch bei der Hand2. (short) kurzto give sb a \quick call jdn kurz anrufento ask sb a \quick question jdn [noch] kurz etw fragen, jdm eine kurze Frage stellenthe \quickest way der kürzeste Wegcould I have a \quick word with you? könnte ich Sie kurz sprechen?to say a \quick goodbye/hello noch schnell auf Wiedersehen/hallo sagento give sb a \quick hug jdn noch kurz umarmen4. (alert) [geistig] gewandt [o beweglich], intelligent, klug, scharfsinnigto have a \quick mind ein kluger Kopf sein, einen scharfen Verstand [o wachen Geist] habenshe's a \quick girl sie ist ein aufgewecktes Mädchenhe's too \quick for me mit ihm kann ich nicht mithalten5.II. adv schnell, raschas \quick as possible so schnell wie möglichto get rich \quick schnell reich werdenIII. interj schnellIV. n1. (sensitive part)to bite/cut nails to the \quick die Nägel bis auf das Nagelbett abbeißen/schneidenthe \quick and the dead die Lebenden und die Toten* * *[kwɪk]1. adj (+er)come on, quick, quick! — komm, schnell, schnell or zack, zack (inf)!
you were/he was quick — das ist ja schnell gegangen, das war ja schnell
he's a quick worker —
he was the quickest to be promoted — er wurde am schnellsten befördert
he was too quick for me (in speech) — das ging mir zu schnell; (in escaping) er war zu schnell für mich
quick march! (Mil) — im Eilschritt, marsch!
it's quicker by train — mit dem Zug geht es schneller
he is quick to anger —
what's the quickest way to the station? —
what's the quickest way to finish it? — wie werde ich am schnellsten damit fertig?
let me have a quick look —
we had a quick meal let's go for a quick drive — wir haben schnell etwas gegessen komm, wir machen eine kleine Spritztour
he took a quick swig of whisky — er trank schnell einen Schluck Whisky
could I have a quick word? —
I grabbed a quick sleep — ich legte mich kurz hin
time for a quick beer — genügend Zeit, um schnell ein Bierchen zu trinken
a quick one — eine(r, s) auf die Schnelle (inf); (question) eine kurze Frage
3) (= lively, quick to understand) mind wach; person schnell von Begriff (inf); child aufgeweckt; temper hitzig, heftig; eye, ear scharfthe quicker children soon get bored — die Kinder, die schneller begreifen or die eine schnellere Auffassungsgabe haben, langweilen sich bald
to be quick at doing sth — fix dabei sein, etw zu tun
he's very quick — er begreift or kapiert (inf) schnell
quick, isn't he? (in repartee) — der ist aber schlagfertig
2. n2) pl (liter)3. adv (+er)schnell* * *quick [kwık]A adj (adv quickly)1. schnell, rasch, prompt, sofortig, umgehend:quick answer (service) prompte Antwort (Bedienung);he is quick to make friends er schließt schnell Freundschaft;2. schnell, flink, geschwind, rasch:be quick! mach schnell!, beeil(e) dich!;be quick about sth sich mit etwas beeilen;3. (geistig) wach, aufgeweckt, schlagfertig, fix:4. schnell, fix (prompt handelnd)5. hitzig, aufbrausend (Temperament)6. scharf (Auge etc):a quick ear ein feines Gehör7. obs scharf (Geruch, Geschmack, Schmerz)8. lose, treibend (Sand etc)9. aus lebenden Pflanzen bestehend:a quick hedge eine lebende Hecke10. obs lebend, lebendig13. WIRTSCH flüssig, liquid (Anlagen, Aktiva)14. Bergbau: erzhaltig, ergiebigB s2. BOT Br Hecken bildende Pflanze(n pl)4. fig Mark n:a) bis ins Fleisch,b) fig bis ins Mark,c) fig durch und durch;cut sb to the quick jemanden bis ins Mark treffen;a Tory to the quick ein Tory durch und durch oder bis auf die Knochen;paint sb to the quick jemanden malen, wie er leibt und lebt5. US Quecksilber nC adv geschwind, schnell, sofort* * *1. adjective1) schnell; kurz [Rede, Zusammenfassung, Pause]; flüchtig [Kuss, Blick usw.]that was/you were quick! — das ging aber schnell!
be quick! — mach schnell! (ugs.); beeil[e] dich!
2) (prompt to act or understand) schnell [Person]; wach [Verstand]; aufgeweckt [Kind]be quick to take offence — schnell od. leicht beleidigt sein
2. adverb[have] a quick temper — ein aufbrausendes Wesen [haben]
3. nounquick! — [mach] schnell!
be cut to the quick — (fig.) tief getroffen od. verletzt sein
* * *adj.rasch adj.schnell adj. n.Schnellsortieren n. -
12 remedial
adjective1) (affording a remedy) Heil[behandlung, -wirkung]; (intended to remedy deficiency etc.) rehabilitierend [Maßnahme]2) (Educ.) Förder-* * *[rə'mi:diəl]adjective (able to, or intended to, put right or to correct or cure: She does remedial work with the less clever children; remedial exercises.) Heil-...* * *re·medial[rɪˈmi:diəl]1. (relief) Hilfs-\remedial action Hilfsmaßnahme f2. SCH Förder-\remedial education Förderunterricht m\remedial reading Lesen nt für Leseschwache3. MED Heil-\remedial exercises [or training] Heilgymnastik f* * *[rI'miːdɪəl]adj attrHilfs-; (MED) Heil-remedial action/measures — Hilfsmaßnahmen pl
to teach remedial English/reading — einen Förderkurs in Englisch/im Lesen leiten
remedial education — fördernde Erziehung (für lernschwache Schüler)
* * *remedial adj (adv remedially)1. Abhilfe schaffend:remedial measure Abhilfemaßnahme f2. heilend, Heil…:remedial gymnast Heil-, Krankengymnast(in);3. SCHULE Förder…:remedial class Förderklasse f;remedial teaching Förderunterricht m* * *adjective1) (affording a remedy) Heil[behandlung, -wirkung]; (intended to remedy deficiency etc.) rehabilitierend [Maßnahme]2) (Educ.) Förder-* * *adj.abhelfend adj. -
13 time
время; период; продолжительность || устанавливать время; распределять время; рассчитывать по времени; согласовывать во времени; синхронизироватьtime in use — время использования; время работы (напр. инструмента)
time on machine — время пребывания ( обрабатываемой детали) на станке
- acceleration timeto cut time — сокращать время (напр. обработки)
- access time
- activation time
- active maintenance time
- active repair time
- activity time
- actual in-cut time
- addition time
- additional time
- adjustable laser ramp-up time
- administrative time
- aggregate travel time
- air-cutting time
- arcing time of pole
- assembly time
- assessed mean time to failure
- ATC time
- attended running time
- attenuation time
- auxiliary time
- available machine time
- available machining time
- available time
- average access time
- average time
- base cycle time
- batch change time
- batch lead time
- batch run time
- block execution time
- block processing time
- bounce time
- braking time to standstill
- braking time
- break time
- breakdown time
- bridging time
- build time
- build-up time
- cam idle time
- cell production time
- changeover cut-to-cut time
- changeover time
- characteristic time
- charge time
- chip-cutting time
- chip-making time
- chip-to-chip toolchange time
- clock cycle time
- closing time
- combined travel/load time
- commissioning time
- component cycle time
- component inspection time
- component time
- computed machine time
- computing time
- control flow time
- control time
- conversion time
- correction time
- corrective maintenance time
- c-percentile storageability time
- c-percentile time to failure
- cumulative cutting time
- cure time
- current fall time
- current rise time
- cut time
- cutting time
- cut-to-cut time
- cycle time
- dead cycle time
- dead time
- debugging time
- delay time
- delivery time
- depalletizing time
- derivative action time
- derricking time
- detection time
- direct manufacture time
- disengaging time
- division time
- door-to-door time
- double-stroke time
- down time
- dry-cycle time
- dwell time
- effective cutting time
- effective dead time
- empty running time
- end-of-job time
- equispaced times
- equivalent running time for wear
- eroding time
- erosion time
- estimation time
- execution time
- exposure time
- fall time
- fast response time
- finishing time
- first-off machining time
- fitting time
- fixture lead time
- floor-to-floor time
- flow time
- forward recovery time
- frame time
- full brazing time
- full operating time
- full soldering time
- gate controlled turn-off delay time
- gate controlled turn-off fall time
- gate controlled turn-off time
- grinding time
- gripper-changing time
- head-changing time
- hobbing time
- holding time
- idle time
- index time
- indexing time
- innovation time
- in-process time
- integral action time
- interarrival time
- interoperation time
- interpolation delay time
- jaw-adjusting time
- job completion time
- job finish time
- laser interaction time
- laser shutter opening time
- laser weld tempering time
- laser-beam dwell time
- laser-beam interaction time
- lead time
- learning time
- loading time
- machine down time
- machine repair time
- machine run time
- machine slack time
- machine wait time
- machine-setting time
- machine-setup time
- machining floor-to-floor time
- machining time
- machining-cycle time
- maintenance down time
- maintenance time
- make time
- manual machining time
- manufacturing cycle time
- manufacturing lead time
- material to end product lead time
- maximum resetting time
- mean time between failures
- mean time to failure
- mean time to repair
- measuring run time
- metal-to-metal time
- minimum accelerating time
- minimum braking time
- move time
- moving time
- multiplication time
- NC machining time
- NC program debug time
- no-failure operating time
- noncut time
- noncutting time
- nonmachining time
- nonproductive machine time
- nonrequired time
- numerical processing time
- observed mean time to failure
- off-machine process time
- off-shift machine down time
- off-shift slack time
- opening time
- operate time
- operating spindle time
- operating time
- operation cycle time
- operation time
- operator's attention time
- operator's reaction time
- operator's time
- optimized contact time
- out-of-cut machine time
- out-of-cut time
- output cycle time
- overall cycle time
- overall lead time
- pallet change time
- pallet processing time
- pallet shuttle time
- parasitic time
- part turnaround time
- partial operating time
- part-waiting time
- payback time
- periodic time
- pickup time
- piece sequence time
- piece time
- planned loading time
- planning lead time
- planning time
- predicted mean time to failure
- preparatory time
- preset operating time before corrective adjustment
- preset operating time
- preset time
- probing time
- process response time
- process time
- processing time
- product development lead time
- product flow time
- product lead time
- production lead time
- production time per piece
- production time per unit
- production time
- productive time
- profiling time
- programming time
- prorated time
- protective power time
- pulse decay time
- pulse response time
- pulse rise time
- pulse time
- queue time
- queueing time
- rapid response time
- reading time
- readout time
- real time
- rechucking time
- recognition time
- recovery time
- release time
- releasing time
- remaining life time
- repair/down cost time
- required time
- reset time
- residence time of materials
- response time
- restoration time
- return time
- reverse recovery current fall time
- reverse recovery current rise time
- reverse recovery time
- rise time
- robot down time
- roughing time
- run time
- running time
- running-in time
- safety lead time
- sampling time
- scan time
- schedule time
- scheduled time
- sensing time
- series machining time
- service time of the tool
- servicing time
- servo update time
- setter time
- setting time
- settling time
- setup time
- ship time
- slack time
- soaking time
- software execution time
- specified no-failure operating time
- specified operating time
- specified time
- spindle cutting time
- spindle run time
- stabilization time
- stand time
- standard handling time
- standard piece time
- starting time
- start-up time
- station time
- station-to-station time
- step response time
- stopping time
- storage cycle time
- storage time
- storageability time
- switching time
- switch-over time
- system time
- table-indexing time
- tape-preparation time
- tape-turnaround time
- target build time
- target time
- teach time
- throughput time
- time of starting
- tool change time
- tool exchange time
- tool index time
- tool life time
- tool-cutting time
- tool-in-cut time
- tooling-response time
- tool-setup time
- tool-to-tool changing time
- total access time
- total changeover time
- total equivalent running time for strength
- total equivalent running time for wear
- total manufacturing cycle time
- total running time
- total sequence time
- to-the-minute time
- transfer time
- transient time
- transit time
- transition time
- traveling time
- turnaround time
- turn-off time
- turn-on time
- undetected failure time
- unit cycle time
- unit production time
- unit time
- up time
- update time
- updating time
- vehicle time per hour
- vehicle-use time
- waiting time
- wakeup time
- warm-up time
- wasted time
- work-change time
- work-cycle time
- work-in-process time
- wrench time
- zero ATC timeEnglish-Russian dictionary of mechanical engineering and automation > time
-
14 good
1)( of high quality) gut;there's nothing like a \good book es geht nichts über ein gutes Buch;she speaks \good Spanish sie spricht gut Spanisch;dogs have a \good sense of smell Hunde haben einen guten Geruchssinn;he's got \good intuition about such matters er hat in diesen Dingen ein gutes Gespür;your reasons make \good sense but... deine Gründe sind durchaus einleuchtend, aber...;I need a \good meal now jetzt brauche ich was Ordentliches zu essen!;the child had the \good sense to... das Kind besaß die Geistesgegenwart...;he only has one \good leg er hat nur ein gesundes Bein;\good appetite gesunder Appetit;to be a \good catch eine gute Partie sein;a \good choice/ decision eine gute Wahl/Entscheidung;\good ears/ eyes gute Ohren/Augen;to do a \good job gute Arbeit leisten;to be in \good shape in guter [körperlicher] Verfassung sein;\good thinking gute Idee;\good timing gutes Timing;to be/not be \good enough gut/nicht gut genug sein;that's just not \good enough! so geht das nicht!;if she says so that's \good enough for me wenn sie es sagt, reicht mir das;to be \good for nothing zu nichts taugen;to feel \good sich akk gut fühlen;I don't feel too \good today heute geht's mir nicht besonders ( fam)2) ( skilled) gut, begabt;to be \good at sth gut in etw dat sein;he's a \good runner [or he's \good at running] er ist ein guter Läufer;she's very \good at learning foreign languages sie ist sehr sprachbegabt;this book is \good on international export law dieses Buch ist sehr gut, wenn man etwas über internationale Exportbestimmungen erfahren möchte;he is particularly \good on American history besonders gut kennt er sich in amerikanischer Geschichte aus;to be \good with one's hands geschickt mit seinen Händen sein;to be \good in bed gut im Bett sein ( fam)to be \good with people gut mit Leuten umgehen können3) ( pleasant) schön;that was a really \good story, Mummy das war echt eine tolle Geschichte, Mama ( fam)that was the best party in a long time das war die beste Party seit langem;it's \good to see [or seeing] you after all these years schön, dich nach all den Jahren wiederzusehen!;\good morning/ evening guten Morgen/Abend;to have a \good day/ evening einen schönen Tag/Abend haben;have a \good day schönen Tag noch!;\good news gute Neuigkeiten;to have a \good time [viel] Spaß haben;\good weather schönes Wetter;to have a \good one ( fam) einen schönen Tag haben4) ( appealing to senses) gut, schön;after a two-week vacation, they came back with \good tans nach zwei Wochen Urlaub kamen sie gut gebräunt zurück;most dancers have \good legs die meisten Tänzer haben schöne Beine;sb looks \good in sth clothes etw steht jdm;to have \good looks, to be \good-looking gut aussehen5) ( favourable) gut;he made a very \good impression at the interview er hat beim Vorstellungsgespräch einen sehr guten Eindruck gemacht;there's a \good chance [that]... die Chancen stehen gut, dass...;we got a \good deal on our new fridge wir haben unseren neuen Kühlschrank günstig erstanden;the play got \good reviews [or a \good press] das Stück hat gute Kritiken bekommen;it's a \good job we didn't go camping last weekend - the weather was awful zum Glück sind wir letztes Wochenende nicht campen gegangen - das Wetter war schrecklich;the \good life das süße Leben;\good luck [on sth] viel Glück [bei etw dat];best of luck on your exams today! alles Gute für deine Prüfung heute!;a \good omen ein gutes Omen;to be too much of a \good thing zu viel des Guten sein;you can have too much of a \good thing man kann es auch übertreiben;\good times gute Zeiten;to be too \good to be true zu schön, um wahr zu sein;to have [got] it \good ( fam) es gut haben6) ( beneficial) vorteilhaft;to be \good for sb gut für jdn sein;milk is \good for you Milch ist gesund;to be \good for business/ for headaches gut fürs Geschäft/gegen Kopfschmerzen sein7) ( useful) nützlich, sinnvoll;we had a \good discussion on the subject wir hatten eine klärende Diskussion über die Sache;it's \good that you checked the door gut, dass du die Tür noch einmal überprüft hast8) ( on time)in \good time rechtzeitig;be patient, you'll hear the result all in \good time seien Sie geduldig, Sie erfahren das Ergebnis noch früh genug;in one's own \good time in seinem eigenen Rhythmus9) ( appropriate)to be a \good time to do sth ein guter Zeitpunkt sein, [um] etw zu tunthe college has been very \good about her health problem die Hochschule zeigte sehr viel Verständnis für ihr gesundheitliches Problem;it was very \good of you to help us es war sehr lieb von dir, uns zu helfen;he's got a \good heart er hat ein gutes Herz;be so \good as to... sei doch bitte so nett und...;would you be \good enough to... wären Sie so nett und...;\good deeds/ works gute Taten;to do a \good deed eine gute Tat tunthe G\good Book die [heilige] Bibel;for a \good cause für einen guten Zweck;to set a \good example to sb jdm ein gutes Vorbild sein;sb's \good name/ reputation jds guter Name/guter Ruf;to be [as] \good as one's word vertrauenswürdig sein12) ( well-behaved) gut;\good dog! braver Hund!;be a \good girl and... sei ein liebes Mädchen [o sei so lieb] und...;OK, I'll be a \good sport o.k., ich will mal kein Spielverderber sein;she's been as \good as gold all evening sie hat sich den ganzen Abend über ausgezeichnet benommen;\good loser guter Verlierer/gute Verliererinthe house needs a \good clean[ing] das Haus sollte mal gründlich geputzt werden;have a \good think about it lass es dir noch einmal gut durch den Kopf gehen;now, now - have a \good cry schon gut - wein dich mal so richtig aus;they have built a \good case against the suspect sie haben einen hieb- und stichfesten Fall gegen den Verdächtigen aufgebaut;we had some \good fun at the amusement park wir hatten so richtig viel Spaß im Vergnügungspark;a \good beating eine gründliche Tracht Prügel;to have a \good laugh ordentlich lachen;to have a \good look at sth sich dat etw genau ansehen;a \good talking to eine Standpauke( not forged) banknote echt;( usable) gut;this car should be \good for another year or so dieses Auto hält wohl schon noch ein Jahr oder so;he gave us a gift certificate \good for $100 er hat uns einen Geschenkgutschein über 100 Dollar überreicht;this ticket is only \good on weekends dieses Ticket gilt nur an Wochenenden;my credit card is only \good for another month meine Kreditkarte ist nur noch einen Monat gültigwe walked a \good distance today wir sind heute ein ordentliches Stück gelaufen;she makes \good money at her new job sie verdient in ihrem neuen Job gutes Geld;it's a \good half hour's walk to the station from here von hier bis zum Bahnhof ist es zu Fuß eine gute halbe Stunde;a \good deal jede Menge;you're looking a \good deal better now du siehst jetzt ein gutes Stück besser aus;to make a \good profit einen beträchtlichen Profit machen;a \good few/ many eine ganze Mengehe is always \good for a laugh er ist immer gut für einen Witz;thanks for the loan and don't worry, I'm \good for it danke für den Kredit und keine Sorge, ich zahle ihn zurück;her credit is \good sie ist kreditwürdig18) (almost, virtually)as \good as... so gut wie...;our firewood is as \good as gone unser Feuerholz ist nahezu aufgebraucht;to be as \good as dead/ new so gut wie tot/neu sein;they as \good as called me a liar sie nannten mich praktisch eine Lügnerin!I need a \good long holiday ich brauche mal wieder so einen richtig schönen langen Urlaub!;what you need is a \good hot cup of coffee was du brauchst, ist eine gute Tasse heißen Kaffee;\good and...;she's really \good and mad sie ist so richtig sauer;I'll do it when I'm \good and ready, and not one minute before ich mache es, sobald ich fertig bin und keine Minute früher!very \good sehr wohl! veraltet\good gracious! ach du liebe Zeit!;\good grief! du meine Güte!;oh, - \good for you! oh, schön für dich! ( iron)\good old James! der gute alte James!;the \good old days die gute alte ZeitPHRASES:to have a \good innings ( Brit) ein schönes Leben haben;for \good measure als Draufgabe, obendrein;\good riddance Gott sei Dank!;to make \good time gut in der Zeit liegen;if you can't be \good, be careful ( prov) wenn man schon was anstellt, sollte man sich wenigstens nicht [dabei] erwischen lassen;it's as \good as it gets besser wird's nicht mehr;to give as \good as one gets es [jdm] mit gleicher Münze heimzahlen;to make \good zu Geld kommen;she's \good for another few years! mit ihr muss man noch ein paar Jahre rechnen! advboy, she can sure sing \good, can't she? Junge, die kann aber gut singen, oder?to do sth \good and proper etw richtig gründlich tun;well, you've broken the table \good and proper na, den Tisch hast du aber so richtig ruiniert! n\good and evil Gut und Böse;to be up to no \good nichts Gutes im Schilde führen;to do \good Gutes tun;the \good pl die Guten plto do more harm than \good mehr schaden als nützen;for the \good of his health zum Wohle seiner Gesundheit, seiner Gesundheit zuliebe;for the \good of the nation zum Wohle der Nation;for one's own \good zu seinem eigenen Bestenthat young man is no \good dieser junge Mann ist ein Taugenichts;to not do much/any \good nicht viel/nichts nützen;even a small donation can do a lot of \good auch eine kleine Spende kann eine Menge helfen;that won't do much \good das wird auch nicht viel nützen;it's no \good complaining all day den ganzen Tag rumzujammern bringt auch nichts! ( fam)what \good is sitting alone in your room? was bringt es, hier alleine in deinem Zimmer zu sitzen?; ( iron)a lot of \good that'll do [you]! das wird [dir] ja viel nützen! ( iron)4) ( profit)we were £7,000 to the \good when we sold our house als wir unser Haus verkauften, haben wir einen Gewinn von 7.000 Pfund eingestrichen; ( fig)he was two gold medals to the \good by the end of the day am Ende des Tages war er um zwei Goldmedaillen reicher5) ( ability)to be no \good at sth etw nicht gut können, bei etw dat nicht [sonderlich] gut seinPHRASES:for \good [and all] für immer [und ewig] -
15 _розум; мудрість; думка
advice is something the wise don't need and the fools won't take all great minds run in the same channel all men are fools, but the wisest of fools are called philosophers better an empty purse than an empty head a big head means a big headache bought wisdom is best if you don't pay too dear for it entertain no thoughts which you would blush at in words the doors of wisdom are never shut a flow of words is no proof of wisdom the fool wonders; the wise man asks go where he will, a wise man is always at home happy is the man who finds wisdom and gets understanding he who questions nothing learns nothing high living, low thinking if what men most admire they would despise, it would look like mankind were growing wise it is easy to be wise after the event it needs great wisdom to play the fool little hair, much wit know thyself knowledge and wisdom are far from being one men talk wisely but live foolishly nine-tenths of wisdom consists in being wise in time no man can be always wise no man is born wise or learned one good head is better than a thousand strong hands one hears only what he understands popular opinion is the greatest lie in the world riches serve a wise man but command a fool so many men, so many minds speech is the gift of all but the thought of few a still tongue makes a wise head two heads are better than one where all think alike, no one thinks very much where ignorance is bliss 'tis folly to be wise wisdom doesn't always speak in Greek and Latin wisdom goes not always by years wisdom in a poor man is a diamond set in lead wisdom is ever a blessing, education is sometimes a curse wisdom is the wealth of the wise a wise man changes his mind; a fool never does a wise man is strong a wise man will make more opportunities than he finds a wise man's day is worth a fool's life wise men care not for what they cannot have wise men learn by other men's mistakes; fools insist on learning by their own a word to the wise words are the wise man's counters and the fool's moneyEnglish-Ukrainian dictionary of proverbs > _розум; мудрість; думка
-
16 address
[ə'dres] 1. сущ.1)а) адрес; место жительства, нахожденияbusiness address — рабочий адрес, адрес организации
forwarding address — адрес, по которому следует пересылать корреспонденцию
permanent address — постоянный адрес, постоянное место жительства
Please write down your name and address on a postcard. — Напишите, пожалуйста, своё имя и адрес на открытке.
2) информ.а) адрес, полное имя, путь ( место расположения данных в памяти компьютера)б) адрес, код, идентификатор ( поля памяти)в) адрес ( в интернете)3) обращение; речь; официальное выступление; адрес (юбилейный)an address about / concerning smth. — выступление, касающееся тех или иных проблем
to deliver / give an address — выступить с речью
He had scheduled an address to the American people for the evening of May 27. — Он планировал выступить с обращением к американскому народу вечером 27 мая.
Syn:4) ( addresses) уст. ухаживаниеThe black footman persecuted her with his addresses. — Чернокожий лакей докучал ей своими ухаживаниями.
5) такт; ловкость, (умелое) обхождениеWith the charms of beauty she combined the address of an accomplished intriguer — Обаятельную внешность она сочетала в себе с ловкостью опытной интриганки.
6) форма обращения (как называть того, к кому обращаются с речью)7) приписка (регистрация судна в определённом порту, порту приписки)2. гл.1) обращаться (к кому-л.), говорить (с кем-л.)When she spoke, she addressed him in English, but with a heavy French accent. — Она заговорила с ним по-английски, но с заметным французским акцентом.
Syn:2) ( address to) выступать перед (кем-л.; с докладом, речью, официальным сообщением), обращаться ( с целью привлечь внимание), взыватьShe addressed her remarks to us. — Она адресовала свои замечания нам.
He addressed himself to the audience gathered round. — Он обратился к аудитории, собравшейся вокруг.
3)Poorly addressed letter makes trans-Atlantic trip. — Письмо с неполно указанным адресом пересекает Атлантику ( газетный заголовок).
б) обращаться (называя по имени, титулу; используя тот или иной способ обращения)to address smb. by his / her name — обращаться к кому-л. по фамилии
He is usually addressed as the Captain. — К нему обычно обращаются "капитан".
4)а) обращать внимание (на что-л.), задумываться (о чём-л.), исследоватьWe must finally address these issues. — Пора, наконец, решать эти вопросы.
This specific question is addressed in the present experiment. — Именно этот вопрос исследуется в настоящем эксперименте.
Guidance on the issues which should be addressed. — Рекомендации по пунктам повестки дня.
б) принимать меры (по поводу, в ответ на), реагировать на; направлять усилия наThe World Bank must address the needs of the poorest countries. — Всемирный банк должен повернуться лицом к нуждам беднейших стран.
Addressing the resentment toward affirmative action programs, Hacker notes… — Реагируя на возмущение по поводу программ предоставления преимущественных прав, Хакер отметил...
to address oneself to (the business of doing) smth. — приниматься за какое-л. дело
I addressed myself to learning Spanish. — Я принялся за изучение испанского.
5) отправлять, предназначать, передавать, перепоручать (особенно по отношению к плавательным средствам; также в торгово-посреднических операциях)ship to be addressed to Marseille — корабль, который следует направить в Марсель
6) готовиться к удару по мячу (встать в соответствующую позу; в гольфе)When they address the ball their hands should be well out in front of their body. — Когда они готовятся к удару по мячу, их руки должны быть прямо перед их корпусом.
•Gram:[ref dict="LingvoGrammar (En-Ru)"]Addressing people[/ref] -
17 open
open ['əʊpən]ouvert ⇒ 1 (a)-(d), 1 (n), 1 (o), 1 (q)-(s) découvert ⇒ 1 (e) dégagé ⇒ 1 (g) vacant ⇒ 1 (h) libre ⇒ 1 (h) non résolu ⇒ 1 (k) franc ⇒ 1 (n) ouvrir ⇒ 2 (a)-(g), 3 (d) déboucher ⇒ 2 (a) commencer ⇒ 2 (e), 3 (e) engager ⇒ 2 (e) dégager ⇒ 2 (g) s'ouvrir ⇒ 3 (a)-(c)(a) (not shut → window, cupboard, suitcase, jar, box, sore, valve) ouvert;∎ her eyes were slightly open/wide open ses yeux étaient entrouverts/grands ouverts;∎ he kicked the door open il a ouvert la porte d'un coup de pied;∎ the panels slide open les panneaux s'ouvrent en coulissant;∎ to smash/lever sth open ouvrir qch en le fracassant/à l'aide d'un levier;∎ I can't get the bottle open je n'arrive pas à ouvrir la bouteille;∎ there's a bottle already open in the fridge il y a une bouteille entamée dans le frigo;∎ you won't need the key, the door's open tu n'auras pas besoin de la clef, la porte est ouverte(b) (not fastened → coat, fly, packet) ouvert;∎ his shirt was open to the waist sa chemise était ouverte ou déboutonnée jusqu'à la ceinture;∎ his shirt was open at the neck le col de sa chemise était ouvert;∎ her blouse hung open son chemisier était déboutonné;∎ the wrapping had been torn open l'emballage avait été arraché ou déchiré(c) (spread apart, unfolded → arms, book, magazine, umbrella) ouvert; (→ newspaper) ouvert, déplié; (→ legs, knees) écarté;∎ the book lay open at page 6 le livre était ouvert à la page 6;∎ I dropped the coin into his open hand or palm j'ai laissé tomber la pièce de monnaie dans le creux de sa main;∎ the seams had split open les coutures avaient craqué;∎ he ran into my open arms il s'est précipité dans mes bras(d) (for business) ouvert;∎ I couldn't find a bank open je n'ai pas pu trouver une banque qui soit ouverte;∎ are you open on Saturdays? ouvrez-vous le samedi?;∎ we're open for business as usual nous sommes ouverts comme à l'habitude;∎ open to the public (museum etc) ouvert ou accessible au public;∎ open late ouvert en nocturne(e) (not covered → carriage, wagon, bus) découvert; (→ car) décapoté; (→ grave) ouvert; (→ boat) ouvert, non ponté; (→ courtyard, sewer) à ciel ouvert;∎ the passengers sat on the open deck les passagers étaient assis sur le pont;∎ the wine should be left open to breathe il faut laisser la bouteille ouverte pour que le vin puisse respirer(f) (not enclosed → hillside, plain)∎ the shelter was open on three sides l'abri était ouvert sur trois côtés;∎ the hill was open to the elements la colline était exposée à tous les éléments;∎ our neighbourhood lacks open space notre quartier manque d'espaces verts;∎ the wide open spaces of Texas les grands espaces du Texas;∎ shanty towns sprang up on every scrap of open ground des bidonvilles ont surgi sur la moindre parcelle de terrain vague;∎ they were attacked in open country ils ont été attaqués en rase campagne;∎ open countryside stretched away to the horizon la campagne s'étendait à perte de vue;∎ open grazing land pâturages mpl non clôturés;∎ ahead lay a vast stretch of open water au loin s'étendait une vaste étendue d'eau;∎ in the open air en plein air;∎ nothing beats life in the open air il n'y a rien de mieux que la vie au grand air;∎ he took to the open road il a pris la route;∎ it'll do 150 on the open road elle monte à 150 sur l'autoroute;∎ the open sea la haute mer, le large(g) (unobstructed → road, passage) dégagé; (→ mountain pass) ouvert, praticable; (→ waterway) ouvert à la navigation; (→ view) dégagé;∎ only one lane on the bridge is open il n'y a qu'une voie ouverte à la circulation sur le pont∎ we have two positions open nous avons deux postes à pourvoir;∎ I'll keep this Friday open for you je vous réserverai ce vendredi;∎ she likes to keep her weekends open elle préfère ne pas faire de projets pour le week-end;∎ it's the only course of action open to us c'est la seule chose que nous puissions faire;∎ she used every opportunity open to her elle a profité de toutes les occasions qui se présentaient à elle;∎ he wants to keep his options open il ne veut pas s'engager(i) (unrestricted → competition) ouvert (à tous); (→ meeting, trial) public; (→ society) ouvert, démocratique;∎ the contest is not open to company employees le concours n'est pas ouvert au personnel de la société;∎ club membership is open to anyone aucune condition particulière n'est requise pour devenir membre du club;∎ a career open to very few une carrière accessible à très peu de gens ou très fermée;∎ there are few positions of responsibility open to immigrants les immigrés ont rarement accès aux postes de responsabilité;∎ the field is wide open for someone with your talents pour quelqu'un d'aussi doué que vous, ce domaine offre des possibilités quasi illimitées;∎ to extend an open invitation to sb inviter qn à venir chez soi quand il le souhaite;∎ it's an open invitation to tax-dodgers/thieves c'est une invitation à la fraude fiscale/aux voleurs;∎ American familiar Reno was a pretty open town in those days à cette époque, Reno était aux mains des hors-la-loi□ ;∎ they have an open marriage ils forment un couple très libre∎ the two countries share miles of open border les deux pays sont séparés par des kilomètres de frontière non matérialisée;∎ Sport he missed an open goal il n'y avait pas de défenseurs, et il a raté le but;∎ to lay oneself open to criticism prêter le flanc à la critique(k) (undecided → question) non résolu, non tranché;∎ the election is still wide open l'élection n'est pas encore jouée;∎ it's still an open question whether he'll resign or not on ne sait toujours pas s'il va démissionner;∎ I prefer to leave the matter open je préfère laisser cette question en suspens;∎ he wanted to leave the date open il n'a pas voulu fixer de date∎ his speech is open to misunderstanding son discours peut prêter à confusion;∎ the prices are not open to negotiation les prix ne sont pas négociables;∎ the plan is open to modification le projet n'a pas encore été finalisé;∎ it's open to debate whether she knew about it or not on peut se demander si elle était au courant;∎ open to doubt douteux∎ to be open to suggestions être ouvert aux suggestions;∎ I don't want to go but I'm open to persuasion je ne veux pas y aller mais je pourrais me laisser persuader;∎ I try to keep an open mind about such things j'essaie de ne pas avoir de préjugés sur ces questions;∎ open to any reasonable offer disposé à considérer toute offre raisonnable∎ let's be open with each other soyons francs l'un avec l'autre;∎ they weren't very open about their intentions ils se sont montrés assez discrets en ce qui concerne leurs intentions;∎ he is open about his homosexuality il ne cache pas son homosexualité(o) (blatant → contempt, criticism, conflict, disagreement) ouvert; (→ attempt) non dissimulé; (→ scandal) public; (→ rivalry) déclaré;∎ her open dislike son aversion déclarée;∎ the country is in a state of open civil war le pays est en état de véritable guerre civile;∎ they are in open revolt ils sont en révolte ouverte;∎ they acted in open violation of the treaty ce qu'ils ont fait constitue une violation flagrante du traité;∎ they showed an open disregard for the law ils ont fait preuve d'un manque de respect flagrant face à la loi;∎ it's an open admission of guilt cela équivaut à un aveu(p) (loose → weave) lâche(a) (window, lock, shop, eyes, border) ouvrir; (wound) rouvrir; (bottle, can) ouvrir, déboucher; (wine) déboucher;∎ open quotations or inverted commas ouvrez les guillemets;∎ she opened her eyes very wide elle ouvrit grand les yeux, elle écarquilla les yeux;∎ they plan to open the border to refugees ils projettent d'ouvrir la frontière aux réfugiés;∎ Photography open the aperture one more stop ouvrez d'un diaphragme de plus;∎ figurative to open one's heart to sb se confier à qn;∎ we must open our minds to new ideas nous devons être ouverts aux idées nouvelles(b) (unfasten → coat, envelope, gift, collar) ouvrir(c) (unfold, spread apart → book, umbrella, penknife, arms, hand) ouvrir; (→ newspaper) ouvrir, déplier; (→ legs, knees) écarter∎ to open a road through the jungle ouvrir une route à travers la jungle;∎ the agreement opens the way for peace l'accord va mener à la paix(e) (start → campaign, discussion, account, trial) ouvrir, commencer; (→ negotiations) ouvrir, engager; (→ conversation) engager, entamer; Banking & Finance (→ account, loan) ouvrir;∎ her new film opened the festival son dernier film a ouvert le festival;∎ to open a file on sb ouvrir un dossier sur qn;∎ to open fire (on or at sb) ouvrir le feu (sur qn);∎ to open the bidding (in bridge) ouvrir (les enchères);∎ to open the betting (in poker) lancer les enchères;∎ Finance to open a line of credit ouvrir un crédit;∎ to open Parliament ouvrir la session du Parlement;∎ Law to open the case exposer les faits∎ the window opens outwards la fenêtre (s')ouvre vers l'extérieur;∎ open wide! ouvrez grand!;∎ to open, press down and twist pour ouvrir, appuyez et tournez;∎ both rooms open onto the corridor les deux chambres donnent ou ouvrent sur le couloir;∎ figurative the heavens opened and we got drenched il s'est mis à tomber des trombes d'eau et on s'est fait tremper(b) (unfold, spread apart → book, umbrella, parachute) s'ouvrir; (→ bud, leaf) s'ouvrir, s'épanouir;∎ a new life opened before her une nouvelle vie s'ouvrait devant elle(c) (gape → chasm) s'ouvrir(d) (for business) ouvrir;∎ what time do you open on Sundays? à quelle heure ouvrez-vous le dimanche?;∎ the doors open at 8 p.m. les portes ouvrent à 20 heures;∎ to open late ouvrir en nocturne(e) (start → campaign, meeting, discussion, concert, play, story) commencer;∎ the book opens with a murder le livre commence par un meurtre;∎ the hunting season opens in September la chasse ouvre en septembre;∎ she opened with a statement of the association's goals elle commença par une présentation des buts de l'association;∎ the film opens next week le film sort la semaine prochaine;∎ Theatre when are you opening? quand aura lieu la première?;∎ when it opened on Broadway, the play flopped lorsqu'elle est sortie à Broadway, la pièce a fait un four;∎ the Dow Jones opened at 2461 le Dow Jones a ouvert à 2461;∎ to open with two clubs (in bridge) ouvrir de deux trèfles4 noun(a) (outdoors, open air)∎ eating (out) in the open gives me an appetite manger au grand air me donne de l'appétit;∎ to sleep in the open dormir à la belle étoile∎ to bring sth (out) into the open exposer ou étaler qch au grand jour;∎ the riot brought the instability of the regime out into the open l'émeute a révélé l'instabilité du régime;∎ the conflict finally came out into the open le conflit a finalement éclaté au grand jour∎ the British Open (golf) l'open m ou le tournoi open de Grande-Bretagne;∎ the French Open (tennis) Roland-Garros►► Banking open account compte m ouvert;open bar buvette f gratuite, bar m gratuit;Banking open cheque chèque m ouvert ou non barré;School open classroom classe f primaire à activités libres;Stock Exchange open contract position f ouverte;Finance open credit crédit m à découvert;British open day journée f portes ouvertes;Economics open economy économie f ouverte;∎ British to keep open house tenir table ouverte;open inquiry enquête f publique;British open learning enseignement m à la carte (par correspondance ou à temps partiel);open letter lettre f ouverte;∎ an open letter to the President une lettre ouverte au Président;open market marché m libre;∎ to buy sth on the open market acheter qch sur le marché libre;∎ Stock Exchange to buy shares on the open market acheter des actions en Bourse;open mike = période pendant laquelle les clients d'un café-théâtre ou d'un bar peuvent chanter ou raconter des histoires drôles au micro;open mesh mailles fpl lâches;Stock Exchange open money market marché m libre des capitaux;Stock Exchange open outcry criée f;Stock Exchange open outcry system système m de criée;open pattern motif m aéré;Insurance open policy police f flottante;Stock Exchange open position position f ouverte;open prison prison f ouverte;open season saison f;∎ the open season for hunting la saison de la chasse;∎ figurative the tabloid papers have declared open season on the private lives of rock stars les journaux à scandale se sont mis à traquer les stars du rock dans leur vie privée;British open secret secret m de Polichinelle;∎ it's an open secret that Alison will get the job c'est Alison qui aura le poste, ce n'est un secret pour personne;sésame, ouvre-toi!2 nounBritish (means to success) sésame m;∎ good A level results aren't necessarily an open sesame to university de bons résultats aux "A levels" n'ouvrent pas forcément la porte de l'université;Industry open shop British (open to non-union members) = entreprise ne pratiquant pas le monopole d'embauche; American (with no union) établissement m sans syndicat;open ticket billet m open;Sport open tournament (tournoi m) open m;British Open University = enseignement universitaire par correspondance doublé d'émissions de télévision ou de radio;Law open verdict verdict m de décès sans cause déterminée➲ open out∎ the sofa opens out into a bed le canapé est convertible en lit;∎ the doors open out onto a terrace les portes donnent ou s'ouvrent sur une terrasse(b) (lie → vista, valley) s'étendre, s'ouvrir;∎ miles of wheatfields opened out before us des champs de blé s'étendaient devant nous à perte de vue(c) (widen → path, stream) s'élargir;∎ the river opens out into a lake la rivière se jette dans un lac;∎ the trail finally opens out onto a plateau la piste débouche sur un plateau∎ he opened out after a few drinks quelques verres ont suffi à le faire sortir de sa réserve(unfold → newspaper, deck chair, fan) ouvrir;∎ the peacock opened out its tail le paon a fait la roue➲ open up(a) (unlock the door) ouvrir;∎ open up or I'll call the police! ouvrez, sinon j'appelle la police!;∎ open up in there! ouvrez, là-dedans!(b) (become available → possibility) s'ouvrir;∎ we may have a position opening up in May il se peut que nous ayons un poste disponible en mai;∎ new markets are opening up de nouveaux marchés sont en train de s'ouvrir(c) (for business → shop, branch etc) (s')ouvrir;∎ a new hotel opens up every week un nouvel hôtel ouvre ses portes chaque semaine∎ he won't open up even to me il ne s'ouvre pas, même à moi;∎ he needs to open up about his feelings il a besoin de dire ce qu'il a sur le cœur ou de s'épancher;∎ I got her to open up about her doubts j'ai réussi à la convaincre de me faire part de ses doutes(f) (become interesting) devenir intéressant;∎ things are beginning to open up in my field of research ça commence à bouger dans mon domaine de recherche;∎ the game opened up in the last half le match est devenu plus ouvert après la mi-temps(a) (crate, gift, bag, tomb) ouvrir;∎ we're opening up the summer cottage this weekend nous ouvrons la maison de campagne ce week-end;∎ the sleeping bag will dry faster if you open it up le sac de couchage séchera plus vite si tu l'ouvres(b) (for business) ouvrir;∎ each morning, Lucy opened up the shop chaque matin, Lucy ouvrait la boutique;∎ he wants to open up a travel agency il veut ouvrir une agence de voyages(c) (for development → isolated region) désenclaver; (→ quarry, oilfield) ouvrir, commencer l'exploitation de; (→ new markets) ouvrir;∎ irrigation will open up new land for agriculture l'irrigation permettra la mise en culture de nouvelles terres;∎ the airport opened up the island for tourism l'aéroport a ouvert l'île au tourisme;∎ a discovery which opens up new fields of research une découverte qui crée de nouveaux domaines de recherche;∎ the policy opened up possibilities for closer cooperation la politique a créé les conditions d'une coopération plus étroite∎ he opened it or her up il a accéléré à fond -
18 management development
HRthe process of creating and enhancing the competences of managers and potential managers. Management development is usually thought of as a planned process, focusing on a long-term development program to increase managerial effectiveness, but it also incorporates informal and unplanned elements such as learning from day-to-day experience. Management development programs within an organization work to identify and recruit potential managers, and develop their knowledge and skills to meet organizational needs. They also equip managers for more senior posts. Management development activities include short courses, management education programs, management training, coaching, and mentoring. -
19 mentoring
HRa form of employee development whereby a trusted and respected person—the mentor—uses their experience to offer guidance, encouragement, career advice, and support to another person—the mentee. The aim of mentoring is to facilitate the mentee’s learning and development and to enable them to discover more about their potential. Mentoring can occur informally or it can be arranged by means of an organizational scheme.Mentor/mentee relationships can take any form that suits the individuals involved, but in practice there are a few rules that apply to most such arrangements—the most important of which is that anything discussed remains confidential. The relationship also needs to be based on trust and candid communication. A mentor does not have to belong to the same organization as the mentee, but can come from any sphere of the mentee’s life—professional association, a community center, your alumni organization, for example—just as long as he or she is not the mentee’s direct supervisor or working in the same department. Mentoring does not have to be paid for; in fact it is usually seen as an honor by the mentor. Many accomplished individuals consider it good professional citizenship to participate in the process of helping those coming up after them. It can also frequently be beneficial to volunteer to be a mentor, as many organizations consider mentoring a valuable hallmark of leadership material. -
20 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
См. также в других словарях:
Learning Plan — A Learning Plan is a document (possibly an interactive or on line document) that is used to plan learning, usually over an extended period of time.Any entity can have a learning plan. They are often used by individuals to plan and manage their… … Wikipedia
Learning Management — is the capacity to design pedagogic strategies that achieve learning outcomes in students. Definition The term Learning Management refers to the capacity to design pedagogic strategies that achieve learning outcomes in students. The emphasis is… … Wikipedia
Needs assessment — is a systematic process for determining and addressing needs, or gaps between current conditions and desired conditions or wants . The discrepancy between the current condition and wanted condition must be measured to appropriately identify the… … Wikipedia
Learning object metadata — is a data model, usually encoded in XML, used to describe a learning object and similar digital resources used to support learning. The purpose of learning object metadata is to support the reusability of learning objects, to aid discoverability … Wikipedia
Learning Resource Centers — Information and communication development opportunities and information flow are the big challenges dedicated review most of educational questions, whether from theoretical frames or material facilitations. School libraries are considered one of… … Wikipedia
Learning disability — In the United States and Canada, the term learning disability (LD) refers to a group of disorders that affect a broad range of academic and functional skills including the ability to speak, listen, read, write, spell, reason and organize… … Wikipedia
Learning object — A learning object is a collection of content items, practice items, and assessment items that are combined based on a single learning objective .[1] The term is credited to Wayne Hogins when he created a working group in 1994 bearing the name [2] … Wikipedia
Learning community — A learning community is a group of people who share common values and beliefs, are actively engaged in learning together from each other. Such communities have become the template for a cohort based, interdisciplinary approach to higher education … Wikipedia
Learning by teaching — In professional education, learning by teaching (German: ) designates a method that allows pupils and students to prepare and to teach lessons, or parts of lessons. Learning by teaching should not be confused with presentations or lectures by… … Wikipedia
Learning — Learn and Learned redirect here. For other uses, see Learn (disambiguation) and Learned (disambiguation). Neuropsychology Topics … Wikipedia
Learning management system — A Learning Management System. (LMS) is software for delivering, tracking and managing training. LMSs range from simple systems for managing training records to software for distributing courses over the Internet and offering features for online… … Wikipedia