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1 Machine Intelligence
Abbreviation: MIУниверсальный русско-английский словарь > Machine Intelligence
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2 machine intelligence
Англо-русский словарь промышленной и научной лексики > machine intelligence
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3 Machine Intelligence Laboratory
University: MILУниверсальный русско-английский словарь > Machine Intelligence Laboratory
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4 Machine
In other words then, if a machine is expected to be infallible, it cannot also be intelligent. There are several theorems which say almost exactly that. But these theorems say nothing about how much intelligence may be displayed if a machine makes no pretence at infallibility. (Turing, 1946, p. 124)Historical dictionary of quotations in cognitive science > Machine
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5 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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6 makine zekası
machine intelligence -
7 уровень интеллекта ЭВМ
Русско-английский словарь по экономии > уровень интеллекта ЭВМ
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8 интеллектуальные средства станка
Русско-английский словарь по машиностроению > интеллектуальные средства станка
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9 уровень интеллекта
Русско-английский большой базовый словарь > уровень интеллекта
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10 Bibliography
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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. 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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. 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The principles of psychology. New York: Appleton-CenturyCrofts.■ Steiner, G. (1975). After Babel: Aspects of language and translation. New York: Oxford University Press.■ Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning. Hillsdale, NJ: Lawrence Erlbaum Associates.■ Sternberg, R. J. (1994). Intelligence. In R. J. Sternberg, Thinking and problem solving. San Diego: Academic Press.■ Sternberg, R. J., & J. E. Davidson (1985). Cognitive development in gifted and talented. In F. D. Horowitz & M. O'Brien (Eds.), The gifted and talented (pp. 103-135). Washington, DC: American Psychological Association.■ Storr, A. (1993). The dynamics of creation. New York: Ballantine Books. (Originally published in 1972.)■ Stumpf, S. E. (1994). Philosophy: History and problems (5th ed.). New York: McGraw-Hill.■ Sulloway, F. J. (1996). Born to rebel: Birth order, family dynamics, and creative lives. New York: Random House/Vintage Books.■ Thorndike, E. L. (1906). Principles of teaching. New York: A. G. Seiler.■ Thorndike, E. L. (1970). Animal intelligence: Experimental studies. Darien, CT: Hafner Publishing Co. (Originally published in 1911.)■ Titchener, E. B. (1910). A textbook of psychology. New York: Macmillan.■ Titchener, E. B. (1914). A primer of psychology. New York: Macmillan.■ Toulmin, S. (1957). The philosophy of science. London: Hutchinson.■ Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organisation of memory. London: Academic Press.■ Turing, A. (1946). In B. E. Carpenter & R. W. Doran (Eds.), ACE reports of 1946 and other papers. Cambridge, MA: MIT Press.■ Turkle, S. (1984). Computers and the second self: Computers and the human spirit. New York: Simon & Schuster.■ Tyler, S. A. (1978). The said and the unsaid: Mind, meaning, and culture. New York: Academic Press.■ van Heijenoort (Ed.) (1967). From Frege to Goedel. Cambridge: Harvard University Press.■ Varela, F. J. (1984). The creative circle: Sketches on the natural history of circularity. In P. Watzlawick (Ed.), The invented reality (pp. 309-324). New York: W. W. Norton.■ Voltaire (1961). On the Penseґs of M. Pascal. In Philosophical letters (pp. 119-146). E. Dilworth (Trans.). Indianapolis: Bobbs-Merrill.■ Wagman, M. (1991a). Artificial intelligence and human cognition: A theoretical inter comparison of two realms of intellect. Westport, CT: Praeger.■ Wagman, M. (1991b). Cognitive science and concepts of mind: Toward a general theory of human and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1993). Cognitive psychology and artificial intelligence: Theory and re search in cognitive science. Westport, CT: Praeger.■ Wagman, M. (1995). The sciences of cognition: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1996). Human intellect and cognitive science: Toward a general unified theory of intelligence. Westport, CT: Praeger.■ Wagman, M. (1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.■ Wagman, M. (1998b). Language and thought in humans and computers: Theory and research in psychology, artificial intelligence, and neural science. Westport, CT: Praeger.■ Wagman, M. (1998c). The ultimate objectives of artificial intelligence: Theoretical and research foundations, philosophical and psychological implications. Westport, CT: Praeger.■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.■ Wagman, M. (2000). Scientific discovery processes in humans and computers: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.■ Weisberg, R. W. (1986). Creativity: Genius and other myths. New York: W. H. Freeman.■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifflin.■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.■ Winston, P. H. (Ed.) (1975). The psychology of computer vision. New York: McGrawHill.■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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11 inteligencia artificial
f.artificial intelligence, machine intelligence, AI.* * *artificial intelligence* * ** * *(n.) = machine intelligenceEx. The author attempts to repudiate Cherniavsky's argument to show that machine intelligence cannot equal human intelligence.* * ** * *Inteligencia Artificial(IA)Ex: Developments in Artificial Intelligence (AI) and related areas are discussed in terms of their impact on school library media centres and the role of library media specialists.
(n.) = machine intelligenceEx: The author attempts to repudiate Cherniavsky's argument to show that machine intelligence cannot equal human intelligence.
* * *artificial intelligence -
12 inteligencia
f.intelligence.* * *1 intelligence\inteligencia artificial artificial intelligence* * *noun f.* * *SF1) (=capacidad) intelligenceinteligencia verbal — verbal skills pl, verbal ability
2) (=persona inteligente) mind, intellectes una de las grandes inteligencias del partido — he is one of the great minds o intellects of the party
3) (Mil) intelligence4)la inteligencia — (=intelectuales) the intelligentsia
5) (=comprensión) understanding6) (=acuerdo) agreement* * *1) (facultad, ser inteligente) intelligence2) ( comprensión) understanding3) (Mil, Pol) intelligence4) ( intelectuales) intelligentsia* * *= intelligence, cleverness, brainpower [brain power].Ex. Intelligence means either an individual's analytical or reasoning abilities or information on an adversary.Ex. They see people as marked by one particular attribute, cleverness, or kindness, or strictness, or being a good shot, and they mind whether things are right or wrong.Ex. The brainpower of its citizens is America's greatest natural resource but much is going to waste = La capacidad mental de sus ciudadanos es el principal recurso natural de América aunque mucho se está desperdiciando.----* aplicar la inteligencia a = apply + intellect to.* aprendizaje pobre en inteligencia = knowledge-sparse learning.* basado en la inteligencia artificial = AI-based.* CIA (Agencia Central de Inteligencia) = CIA (Central Intelligence Agency).* coeficiente de inteligencia = IQ (intelligence quotient).* falto de inteligencia = unintelligent.* inteligencia artificial = machine intelligence.* Inteligencia Artificial (IA) = Artificial Intelligence (AI).* inteligencia competitiva = competitive intelligence.* inteligencia económica = economic intelligence.* inteligencia empresarial = business intelligence.* inteligencia humana = human intelligence.* saber buscar con inteligencia = be search-savvy.* ser un insulto a la inteligencia = be an insult to the intelligence.* servicio de inteligencia = intelligence community, intelligence agency.* test de inteligencia = IQ test.* * *1) (facultad, ser inteligente) intelligence2) ( comprensión) understanding3) (Mil, Pol) intelligence4) ( intelectuales) intelligentsia* * *= intelligence, cleverness, brainpower [brain power].Ex: Intelligence means either an individual's analytical or reasoning abilities or information on an adversary.
Ex: They see people as marked by one particular attribute, cleverness, or kindness, or strictness, or being a good shot, and they mind whether things are right or wrong.Ex: The brainpower of its citizens is America's greatest natural resource but much is going to waste = La capacidad mental de sus ciudadanos es el principal recurso natural de América aunque mucho se está desperdiciando.* aplicar la inteligencia a = apply + intellect to.* aprendizaje pobre en inteligencia = knowledge-sparse learning.* basado en la inteligencia artificial = AI-based.* CIA (Agencia Central de Inteligencia) = CIA (Central Intelligence Agency).* coeficiente de inteligencia = IQ (intelligence quotient).* falto de inteligencia = unintelligent.* inteligencia artificial = machine intelligence.* Inteligencia Artificial (IA) = Artificial Intelligence (AI).* inteligencia competitiva = competitive intelligence.* inteligencia económica = economic intelligence.* inteligencia empresarial = business intelligence.* inteligencia humana = human intelligence.* saber buscar con inteligencia = be search-savvy.* ser un insulto a la inteligencia = be an insult to the intelligence.* servicio de inteligencia = intelligence community, intelligence agency.* test de inteligencia = IQ test.* * *A1 (facultad) intelligence2 (ser inteligente) intelligencees obra de una inteligencia superior it is the work of a superior intelligenceCompuesto:artificial intelligenceB (comprensión) understandingservicios de inteligencia intelligence servicesD (intelectuales) intelligentsia* * *
inteligencia sustantivo femenino
1
2 (Mil, Pol) intelligence
inteligencia f (facultad intelectual) intelligence
inteligencia artificial, artificial intelligence
servicio de inteligencia, intelligence service
' inteligencia' also found in these entries:
Spanish:
cerebro
- coco
- consonancia
- correlación
- corta
- corto
- entendimiento
- palidecer
- privilegiada
- privilegiado
- sutil
- zaga
- cabeza
- coeficiente
- cultivar
- de
- habilidad
- mediano
- notable
- penetrante
- simpleza
- superior
- tonto
- torpeza
English:
accurately
- artificial intelligence
- attribute
- brain
- brightness
- cleverness
- grain
- insult
- intelligence
- intelligence quotient
- IQ
- keen
- mind
- native
- rival
- savvy
- towering
- wit
- asset
- brains
- credit
* * *inteligencia nf1. [entendimiento] intelligenceInformát inteligencia artificial artificial intelligence2. [seres inteligentes] intelligent life3. [espionaje] intelligence;servicio de inteligencia intelligence service4.la inteligencia [la intelectualidad] the intelligentsia* * *f intelligence;servicio de inteligencia POL intelligence service* * *inteligencia nf: intelligence* * *inteligencia n intelligence -
13 artificial
adj.artificial.* * *► adjetivo1 artificial* * *adj.* * *ADJ [flor, luz, inseminación] artificial; [material] artificial, man-made* * ** * *= artificial, contrived, cardboard, theatrical, inauthentic.Ex. The abstracts in Appendix 2.2 are a little artificial since they relate to a part of this book.Ex. Fraktur, cut with a contrived formality that belied its cursive origins, became the most successful of all the gothic types, surviving as a book face in Germany until the mid twentieth century.Ex. If the plot is trite, the characters cardboard and the action totally implausible and illogical these things do not matter so long as the reader is happy.Ex. The novel is about a contrite sinner who finds penitence through a 'cunning' that is theatrical.Ex. Much of the culture of Western democracies has increasingly become inauthentic or phony.----* campo de césped artificial = all-weather pitch.* campo de hierba artificial = all-weather pitch.* centro de esquí artificial = dry ski centre.* césped artificial = artificial grass, artificial turf.* colorante artificial para alimentos = food colouring.* con sabor artificial = artificially flavoured.* edulcorante artificial = artificial sweetener.* fuegos artificiales = firework display.* hierba artificial = artificial grass, artificial turf.* iluminación artificial = artificial lighting.* inseminación artificial = artificial insemination.* inteligencia artificial = machine intelligence.* lenguaje artificial = artificial language.* luz artificial = artificial light.* pista de esquí artificial = dry slope, dry ski slope.* pulmón artificial = lung-machine.* ventilación artificial = artificial ventilation.* * ** * *= artificial, contrived, cardboard, theatrical, inauthentic.Ex: The abstracts in Appendix 2.2 are a little artificial since they relate to a part of this book.
Ex: Fraktur, cut with a contrived formality that belied its cursive origins, became the most successful of all the gothic types, surviving as a book face in Germany until the mid twentieth century.Ex: If the plot is trite, the characters cardboard and the action totally implausible and illogical these things do not matter so long as the reader is happy.Ex: The novel is about a contrite sinner who finds penitence through a 'cunning' that is theatrical.Ex: Much of the culture of Western democracies has increasingly become inauthentic or phony.* campo de césped artificial = all-weather pitch.* campo de hierba artificial = all-weather pitch.* centro de esquí artificial = dry ski centre.* césped artificial = artificial grass, artificial turf.* colorante artificial para alimentos = food colouring.* con sabor artificial = artificially flavoured.* edulcorante artificial = artificial sweetener.* fuegos artificiales = firework display.* hierba artificial = artificial grass, artificial turf.* iluminación artificial = artificial lighting.* inseminación artificial = artificial insemination.* inteligencia artificial = machine intelligence.* lenguaje artificial = artificial language.* luz artificial = artificial light.* pista de esquí artificial = dry slope, dry ski slope.* pulmón artificial = lung-machine.* ventilación artificial = artificial ventilation.* * *1 ‹flor/satélite› artificial; ‹fibra› man-made, artificial2 ‹persona/sonrisa› artificial, false* * *
artificial adjetivo ‹flor/satélite/sonrisa› artificial;
‹ fibra› man-made, artificial
artificial adjetivo
1 artificial
2 Tex man-made o synthetic
' artificial' also found in these entries:
Spanish:
bengala
- canal
- cohete
- colorante
- fecundación
- inseminación
- inteligencia
- natural
- ortopédica
- ortopédico
- postiza
- postizo
- respiración
- riñón
- satélite
- trabajada
- trabajado
- gruta
- pantano
English:
artificial
- artificial insemination
- artificial intelligence
- banger
- bank
- contrived
- cracker
- forced
- fuse
- life-support
- limb
- man-made
- snow machine
- stilted
- floodlight
- kidney
- kiss
- man
- plastic
- satellite
- sweetener
- ventilator
* * *artificial adj1. [hecho por el hombre] [flor, lago] artificial;[material] man-made, artificial2. [no espontáneo] [persona, sonrisa, amabilidad] artificial* * *adj artificial* * *artificial adj1) : artificial, man-made2) : feigned, false♦ artificialmente adv* * *artificial adj artificial -
14 искусственный интеллект
1. artificial intelligence2. machine intelligence3. artificial intellectРусско-английский большой базовый словарь > искусственный интеллект
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15 inteligencia humana
(n.) = human intelligenceEx. The author attempts to repudiate Cherniavsky's argument to show that machine intelligence cannot equal human intelligence.* * *(n.) = human intelligenceEx: The author attempts to repudiate Cherniavsky's argument to show that machine intelligence cannot equal human intelligence.
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16 negar
v.1 to deny.niega haber tenido nada que ver con el robo he denies having had anything to do with the robberyno voy a negar que la idea me atrae I won't deny that the idea appeals to meElla negó los cargos She denied the charges.Ella negó haber robado She denied stealing.Ella negó los permisos She denied the permits.Ricardo negó una y otra vez Richard denied over and over again.2 to refuse, to deny.negarle algo a alguien to refuse o deny somebody somethingnos negaron la entrada a la fiesta they refused to let us into the party, they wouldn't let us into the party* * *1 (rechazar) to deny2 (no conceder) to refuse1 to refuse (a, to)\negar con la cabeza to shake one's headnegar la entrada a alguien to refuse entrance to somebody, not let somebody innegarse a sí mismo,-a to deny oneself* * *verb1) to deny2) refuse* * *1. VT1) (=desmentir) to denynegó que lo hubieran despedido — he denied that they had sacked him, he denied having been sacked
2) (=rehusar) to refuse, deny (a to)nos negaron la entrada al edificio — we were refused o denied entry to the building
negar el saludo a algn — to blank sb *, snub sb *
3) frm [+ persona] to disown2.VI3.See:* * *1.verbo transitivo1) <acusación/rumor> to denynegar + inf — to deny -ing
2) ( no conceder) (+ me/te/le etc) to refuse3) < persona> to disown2.lo negó tres veces — (Bib) he denied Him three times
negar vi3.negarsev pron1) ( rehusar) to refusenegarse a + inf — to refuse to + inf
negarse a que + subj: se negó a que llamáramos un taxi — he refused to let us call a taxi
2) (refl) <placeres/lujos> to deny oneself* * *= deny, negate, gainsay, disavow, repudiate, contest, withhold.Nota: Verbo irregular: pasado y participio withheld.Ex. Borrower records may be marked so that charge-out privileges will be denied except when special permission from the librarian is given.Ex. Thus excessive delays in the availability of cataloguing records from the central agency will negate much of the value of a central service.Ex. We could even agree that no one in our experience is terribly interested in knowing about all of the works of an author, and this would not gainsay the value of consistent author entry.Ex. Feminists disavow biology & biologists who reduce human biology to anatomy.Ex. The author attempts to repudiate Cherniavsky's argument to show that machine intelligence cannot equal human intelligence.Ex. Unfortunately I have not been able to find another survey which incorporates data which would support or contest the conclusions of the Luton survey.Ex. It was agreed to withhold supplies from booksellers who offered new books at a discount greater than the 10 per cent usually allowed for cash.----* negar la entrada = turn + Nombre + away.* negarse = refuse, baulk at [balk at].* negarse a = resist.* negarse a aceptar = disavow.* negarse a hacer un pedido a = withhold + supply from.* negarse a + Infinitivo = won't + Verbo.* negarse rotundamente = baulk at [balk at].* negar tener relación con = disclaim + connection with.* negar una hipótesis = negate + hypothesis.* negar un rumor = scoff at + the idea.* no poderse negar que = there + be + no denying that.* * *1.verbo transitivo1) <acusación/rumor> to denynegar + inf — to deny -ing
2) ( no conceder) (+ me/te/le etc) to refuse3) < persona> to disown2.lo negó tres veces — (Bib) he denied Him three times
negar vi3.negarsev pron1) ( rehusar) to refusenegarse a + inf — to refuse to + inf
negarse a que + subj: se negó a que llamáramos un taxi — he refused to let us call a taxi
2) (refl) <placeres/lujos> to deny oneself* * *= deny, negate, gainsay, disavow, repudiate, contest, withhold.Nota: Verbo irregular: pasado y participio withheld.Ex: Borrower records may be marked so that charge-out privileges will be denied except when special permission from the librarian is given.
Ex: Thus excessive delays in the availability of cataloguing records from the central agency will negate much of the value of a central service.Ex: We could even agree that no one in our experience is terribly interested in knowing about all of the works of an author, and this would not gainsay the value of consistent author entry.Ex: Feminists disavow biology & biologists who reduce human biology to anatomy.Ex: The author attempts to repudiate Cherniavsky's argument to show that machine intelligence cannot equal human intelligence.Ex: Unfortunately I have not been able to find another survey which incorporates data which would support or contest the conclusions of the Luton survey.Ex: It was agreed to withhold supplies from booksellers who offered new books at a discount greater than the 10 per cent usually allowed for cash.* negar la entrada = turn + Nombre + away.* negarse = refuse, baulk at [balk at].* negarse a = resist.* negarse a aceptar = disavow.* negarse a hacer un pedido a = withhold + supply from.* negarse a + Infinitivo = won't + Verbo.* negarse rotundamente = baulk at [balk at].* negar tener relación con = disclaim + connection with.* negar una hipótesis = negate + hypothesis.* negar un rumor = scoff at + the idea.* no poderse negar que = there + be + no denying that.* * *negar [A7 ]vtA ‹acusación/rumor/alegación› to denynegó la existencia del documento she denied the existence of the document, she denied that the document existedno puedo negar que me gusta I can't deny o I have to admit (that) I like itnegar QUE + SUBJ:no niego que haya mejorado I don't deny that she's improved, I'm not saying she hasn't improvednegó que la Tierra fuera plana he disputed the idea that the earth was flatnegar + INF:niega habértelo dicho she denies having told you, she denies that she told youB (denegar, no conceder) (+ me/te/le etc) to refuseles negaron el uso de las instalaciones portuarias they were refused o denied use of the port facilitiessigue negándome el saludo he still doesn't say o he still refuses to say hello to meno le puedo negar este favor I can't refuse him this favor¿cómo se lo puedes negar? how can you say no (to him)?, how can you refuse (him) o turn him down?C ‹persona› to disownsu propia madre lo ha negado his own mother has disowned himlo negó tres veces ( Bib) he denied Him three times■ negarvinegar con la cabeza to shake one's head■ negarseA (rehusar) to refuse negarse A + INF to refuse to + INFse negó rotundamente a recibirlo she refused point blank to see himnegarse A QUE + SUBJ:se negó a que llamáramos un taxi he refused to let us call a taxiB ( refl) ‹placeres/lujos› to deny oneselfse niega todo para dárselo a sus hijos she goes without all kinds of things so that her children can have them* * *
negar ( conjugate negar) verbo transitivo
niega habértelo dicho she denies having told you
verbo intransitivo:
negarse verbo pronominal ( rehusar) to refuse;
negarse a hacer algo to refuse to do sth;
se negó a que llamáramos a un médico he refused to let us call a doctor
negar verbo transitivo
1 to deny: no me niegues que te gusta, don't deny you like her ➣ Ver nota en deny
2 (rechazar) to refuse, deny: me negó su apoyo, he refused to help me
es tan rencorosa que me niega el saludo, he's so bitter that he refuses to greet me
' negar' also found in these entries:
Spanish:
renegar
- evidencia
- niega
- sacudir
English:
deny
- hotly
- negate
- repudiate
- shrug off
- shake
- withhold
* * *♦ vt1. [rechazar] to deny;niega que existan los ovnis he denies the existence of UFOs;niega haber tenido nada que ver con el robo he denies having had anything to do with the robbery;no voy a negar que la idea me atrae I won't deny that the idea appeals to me2. [denegar] to refuse, to deny;le negaron el permiso de trabajo they refused o denied him a work permit;nos negaron la entrada a la fiesta they refused to let us into the party, they wouldn't let us into the party;no le puedo negar ese favor I can't refuse o deny her that favour;me niega el saludo she won't say hello to me♦ vinegar con la cabeza to shake one's head* * *v/t1 acusación deny2 (no conceder) refuse* * *negar {49} vt1) : to deny2) rehusar: to refuse3) : to disown* * *negar vb2. (permiso, etc) to refuse -
17 rechazar
v.1 to reject.el gobierno rechazó las acusaciones de corrupción the government rejected o denied the accusations of corruptionEllos rechazan el grano malo They reject the bad grain.2 to push away (repeler) (a una persona).3 to reject (medicine) (órgano).4 to clear (sport).el portero rechazó la pelota y la mandó fuera the goalkeeper tipped the ball out of play5 to refuse, to pass up, to decline, to disregard.Ellos rechazan el café They refuse the coffee.6 to refuse to.Ellos rechazan comprar eso They refuse to buy that.7 to turn one's back on.8 to dishonor, to refuse to accept, to repudiate, to disavow.Ellos rechazan el reconocimiento They dishonor the recognition.* * *1 (gen) to reject, turn down, refuse2 (ataque) to repel, repulse, drive back3 MEDICINA to reject* * *verb1) to reject, decline2) refuse* * *VT1) [+ persona] to push away; [+ ataque] to repel, beat off; [+ enemigo] to drive back2) [+ acusación, idea] to reject; [+ oferta] to turn down, refuse; [+ tentación] to resist3) [+ luz] to reflect; [+ agua] to throw off4) (Med) [+ órgano] to reject* * *verbo transitivoa) <invitación/propuesta/individuo> to reject; <moción/enmienda> to defeat; <oferta/trabajo> to turn downb) <ataque/enemigo> to repel, repulsec) (Med) < órgano> to reject* * *= condemn, decline, discard, eschew, reject, set + aside, flinch at/from, refuse, negative, discountenance, repulse, shun, be hostile to, ditch, renounce, snub, nix, defeat, disavow, deselect, turn down, spurn, repudiate, fight off, hold off, dismiss with + the wave of the hand, fend off, overrule, push aside, turn + Nombre + away.Ex. It must, however, also be considered as a major source of the 'subject index illusion' so trenchantly condemned by Bliss, as mentioned below.Ex. The title 'Unsolicited marginal gift collections: saying no or coping with the unwanted' deals with the problem of how to cope with collections which should have been declined, but were not.Ex. The dates should be checked regularly and updated so that old dates are discarded and new ones entered.Ex. However, most contributors to the debate about the future of SLIS have eschewed practicalities in favour of sweeping and dramatic generalizations.Ex. Any reliance on principles alone is rejected, and an attempt is made to codify experience.Ex. Such championship cannot be lightly set aside, nevertheless it is now quiet certain that 'bibliography', incorrect and unfortunate as it may be, is here to stay and the situation must be accepted.Ex. It is increasingly obvious that we are as a nation one and indivisible, that divisive tendencies are a thing of the past, but there are still too many inheritors of the old indifference, and who flinch at co-operation as at an evil.Ex. In this novel, if you remember, Henry Crawford, having been refused by the heroine Fanny, goes off and elopes with an old flame, Mrs Rushworth.Ex. Bough negatived the suggestion instantly.Ex. Balzac discountenanced virtually every idea Hernandez and children's librarian, Kate Lespran, had the courage to suggest.Ex. Leforte blew forth a long breath, as if trying to repulse the oppressive heat of the September morning.Ex. Traditionally these books have been shunned because of their fragile nature, but librarians are finding that a small collection can enliven story times.Ex. Although he recognized the need for some forms of synthesis, Bliss was hostile to the idea of complete analysis and synthesis put forward by Ranganathan.Ex. It is time that higher education institutions accepted the wisdom of collaboration and ditched, once and for all, the rhetoric of competition = Ya es hora de que las instituciones de enseñanza superior acepten la colaboración y rechacen, de una vez por todas, la competitividad.Ex. 'Classification by attraction', i.e. the placing of a subject as the most concrete element represented in it, without regard to the basic discipline concerned, is renounced = Se rechaza la "Clasificación por atracción", es decir, la asignación de una materia según el elemento más concreto representado en ella, sin tener en cuenta la disciplina en cuestión.Ex. Some black librarian see little progress towards race-neutral attitudes and finds themselves either directly or indirectly snubbed, patronised or completely ignored by users as well as staff members.Ex. This play was nixed by school officials on the grounds that the subject of sweatshops was not appropriate for that age group.Ex. The author focuses on the campaign of the Idaho Library Association to defeat this initiative.Ex. Feminists disavow biology & biologists who reduce human biology to anatomy.Ex. There is a need to provide public access to the Internet and to develop guidelines for selecting and deselecting appropriate resources.Ex. Public school, strapped for cash, find offers from advertising revenue hard to turn down.Ex. The government seems to spurns the architecture profession and there is a growing rift between architects who assert their utility and those who cleave to artistic prerogatives.Ex. The author attempts to repudiate Cherniavsky's argument to show that machine intelligence cannot equal human intelligence.Ex. These pillboxes were originally built to help fight off a Nazi invasion.Ex. A dam at the Strait of Gibraltar could be constructed to limit the outflow and reverse the climate deterioration, thus holding off the next ice age.Ex. International 'rules' are often dismissed with the wave of the hand or a snort of contempt one week, and gilded and placed on a pedestal the next.Ex. During the rutting season, they are used to fend off other males in an attempt to gather a harem of females to breed with.Ex. President Eisenhower overruled some of his military commanders in summer 1958, ordering them not to use nuclear weapons against China.Ex. She's just an airheaded bimbo, with an endless capacity to push aside unpleasant realities in favor of her more satisfying interests: young men and jewels.Ex. They will be patrolling in plain clothes to spot doormen who turn away people apparently on the basis of their ethnicity.----* cheque + ser rechazado = cheque + bounce.* rechazar Algo/Alguien = turn + Nombre + down.* rechazar la responsabilidad = disclaim + responsibility.* rechazarse = go by + the board.* rechazar sin más = dismiss + out of hand.* rechazar una hipótesis = reject + hypothesis, negate + hypothesis.* rechazar una idea = turn + idea + down.* rechazar una ley = defeat + legislation.* rechazar una moción = defeat + motion.* rechazar una sugerencia = turn + idea + down.* * *verbo transitivoa) <invitación/propuesta/individuo> to reject; <moción/enmienda> to defeat; <oferta/trabajo> to turn downb) <ataque/enemigo> to repel, repulsec) (Med) < órgano> to reject* * *= condemn, decline, discard, eschew, reject, set + aside, flinch at/from, refuse, negative, discountenance, repulse, shun, be hostile to, ditch, renounce, snub, nix, defeat, disavow, deselect, turn down, spurn, repudiate, fight off, hold off, dismiss with + the wave of the hand, fend off, overrule, push aside, turn + Nombre + away.Ex: It must, however, also be considered as a major source of the 'subject index illusion' so trenchantly condemned by Bliss, as mentioned below.
Ex: The title 'Unsolicited marginal gift collections: saying no or coping with the unwanted' deals with the problem of how to cope with collections which should have been declined, but were not.Ex: The dates should be checked regularly and updated so that old dates are discarded and new ones entered.Ex: However, most contributors to the debate about the future of SLIS have eschewed practicalities in favour of sweeping and dramatic generalizations.Ex: Any reliance on principles alone is rejected, and an attempt is made to codify experience.Ex: Such championship cannot be lightly set aside, nevertheless it is now quiet certain that 'bibliography', incorrect and unfortunate as it may be, is here to stay and the situation must be accepted.Ex: It is increasingly obvious that we are as a nation one and indivisible, that divisive tendencies are a thing of the past, but there are still too many inheritors of the old indifference, and who flinch at co-operation as at an evil.Ex: In this novel, if you remember, Henry Crawford, having been refused by the heroine Fanny, goes off and elopes with an old flame, Mrs Rushworth.Ex: Bough negatived the suggestion instantly.Ex: Balzac discountenanced virtually every idea Hernandez and children's librarian, Kate Lespran, had the courage to suggest.Ex: Leforte blew forth a long breath, as if trying to repulse the oppressive heat of the September morning.Ex: Traditionally these books have been shunned because of their fragile nature, but librarians are finding that a small collection can enliven story times.Ex: Although he recognized the need for some forms of synthesis, Bliss was hostile to the idea of complete analysis and synthesis put forward by Ranganathan.Ex: It is time that higher education institutions accepted the wisdom of collaboration and ditched, once and for all, the rhetoric of competition = Ya es hora de que las instituciones de enseñanza superior acepten la colaboración y rechacen, de una vez por todas, la competitividad.Ex: 'Classification by attraction', i.e. the placing of a subject as the most concrete element represented in it, without regard to the basic discipline concerned, is renounced = Se rechaza la "Clasificación por atracción", es decir, la asignación de una materia según el elemento más concreto representado en ella, sin tener en cuenta la disciplina en cuestión.Ex: Some black librarian see little progress towards race-neutral attitudes and finds themselves either directly or indirectly snubbed, patronised or completely ignored by users as well as staff members.Ex: This play was nixed by school officials on the grounds that the subject of sweatshops was not appropriate for that age group.Ex: The author focuses on the campaign of the Idaho Library Association to defeat this initiative.Ex: Feminists disavow biology & biologists who reduce human biology to anatomy.Ex: There is a need to provide public access to the Internet and to develop guidelines for selecting and deselecting appropriate resources.Ex: Public school, strapped for cash, find offers from advertising revenue hard to turn down.Ex: The government seems to spurns the architecture profession and there is a growing rift between architects who assert their utility and those who cleave to artistic prerogatives.Ex: The author attempts to repudiate Cherniavsky's argument to show that machine intelligence cannot equal human intelligence.Ex: These pillboxes were originally built to help fight off a Nazi invasion.Ex: A dam at the Strait of Gibraltar could be constructed to limit the outflow and reverse the climate deterioration, thus holding off the next ice age.Ex: International 'rules' are often dismissed with the wave of the hand or a snort of contempt one week, and gilded and placed on a pedestal the next.Ex: During the rutting season, they are used to fend off other males in an attempt to gather a harem of females to breed with.Ex: President Eisenhower overruled some of his military commanders in summer 1958, ordering them not to use nuclear weapons against China.Ex: She's just an airheaded bimbo, with an endless capacity to push aside unpleasant realities in favor of her more satisfying interests: young men and jewels.Ex: They will be patrolling in plain clothes to spot doormen who turn away people apparently on the basis of their ethnicity.* cheque + ser rechazado = cheque + bounce.* rechazar Algo/Alguien = turn + Nombre + down.* rechazar la responsabilidad = disclaim + responsibility.* rechazarse = go by + the board.* rechazar sin más = dismiss + out of hand.* rechazar una hipótesis = reject + hypothesis, negate + hypothesis.* rechazar una idea = turn + idea + down.* rechazar una ley = defeat + legislation.* rechazar una moción = defeat + motion.* rechazar una sugerencia = turn + idea + down.* * *rechazar [A4 ]vt1 ‹invitación/propuesta› to reject; ‹oferta/trabajo› to turn downla moción fue rechazada the motion was defeatedrechazó su proposición de matrimonio she rejected o turned down his proposal of marriagese sienten rechazados por la sociedad they feel rejected by society2 ‹ataque/enemigo› to repel, repulse3 ‹luz› to reflect4 ( Med) ‹órgano› to reject* * *
rechazar ( conjugate rechazar) verbo transitivo
‹moción/enmienda› to defeat;
‹oferta/trabajo› to turn down
rechazar verbo transitivo
1 (una idea, un plan, a una persona) to reject
(oferta, contrato) to turn down
2 Med (un órgano) to reject
3 Mil to repel
' rechazar' also found in these entries:
Spanish:
barrer
- declinar
- negar
- definitivamente
- desechar
- despreciar
- plano
English:
beat off
- brush off
- decline
- defeat
- deny
- disallow
- dismiss
- fend off
- fight off
- head-hunt
- offer
- refuse
- reject
- repudiate
- repulse
- shun
- snub
- spurn
- stave off
- sweep aside
- turn away
- turn down
- ward off
- wave aside
- fend
- fight
- hand
- over
- parry
- rebuff
- repel
- throw
- turn
- ward
- wave
* * *rechazar vt1. [no aceptar] to reject;[oferta, invitación] to turn down, to reject2. [negar] to deny;el gobierno rechazó las acusaciones de corrupción the government rejected o denied the accusations of corruption;rechazó que vaya a presentarse a la presidencia he denied that he was going to run for the presidency3. [órgano] to reject;el paciente rechazó el órgano the patient rejected the organ4. [repeler] [a una persona] to push away;[a atacantes] to drive back, to repel;rechazaron el ataque de los enemigos they repelled the enemy attack5. Dep to clear;el portero rechazó la pelota y la mandó fuera the goalkeeper tipped the ball out of play* * *v/t reject; MIL repel* * *rechazar {21} vt1) : to reject2) : to turn down, to refuse* * *rechazar vb to reject / to turn down -
18 repudiar
v.1 to condemn.2 to disown.3 to repudiate, to repel, to loathe, to disaffirm.Ellos rechazan el grano malo They reject the bad grain.4 to loathe to, to hate to.* * *1 to repudiate* * *VT1) [+ violencia] to repudiate2) (=no reconocer) to disown3) (=renunciar a) to renounce* * *verbo transitivo1) <atentado/violencia> to condemn* * *= discountenance, repudiate.Ex. Balzac discountenanced virtually every idea Hernandez and children's librarian, Kate Lespran, had the courage to suggest.Ex. The author attempts to repudiate Cherniavsky's argument to show that machine intelligence cannot equal human intelligence.* * *verbo transitivo1) <atentado/violencia> to condemn* * *= discountenance, repudiate.Ex: Balzac discountenanced virtually every idea Hernandez and children's librarian, Kate Lespran, had the courage to suggest.
Ex: The author attempts to repudiate Cherniavsky's argument to show that machine intelligence cannot equal human intelligence.* * *repudiar [A1 ]vtA (condenar) ‹atentado› to condemn; ‹violence› to condemn, repudiateB ( Der)1 ‹mujer› to disown, repudiate ( frml)2 ‹herencia› to repudiate* * *
repudiar ( conjugate repudiar) verbo transitivo
1 ‹atentado/violencia› to condemn
2 (Der) ‹ mujer› to disown, repudiate (frml);
‹ herencia› to repudiate
repudiar vtr frml to repudiate
' repudiar' also found in these entries:
Spanish:
renegar
English:
disavow
- disown
- repudiate
* * *repudiar vt1. [condenar] to condemn2. [esposa] to repudiate, to disown3. [herencia] to renounce* * *v/t repudiate; herencia renounce* * *repudiar vt: to repudiate♦ repudiación nf -
19 распределенные средства искусственного интеллекта
1. dispersed intelligence2. distributed intelligenceРусско-английский большой базовый словарь > распределенные средства искусственного интеллекта
-
20 интеллект
1. м. киб. intelligence2. intellectСинонимический ряд:разум (сущ.) голова; голову; здравый смысл; мозг; мыслительные способности; разум; рассудок; ум; умственные способности
См. также в других словарях:
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