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1 Knowledge
It is indeed an opinion strangely prevailing amongst men, that houses, mountains, rivers, and, in a word, all sensible objects, have an existence, natural or real, distinct from their being perceived by the understanding. But, with how great an assurance and acquiescence soever this principle may be entertained in the world, yet whoever shall find in his heart to call it into question may, if I mistake not, perceive it to involve a manifest contradiction. For, what are the forementioned objects but things we perceive by sense? and what do we perceive besides our own ideas or sensations? and is it not plainly repugnant that any one of these, or any combination of them, should exist unperceived? (Berkeley, 1996, Pt. I, No. 4, p. 25)It seems to me that the only objects of the abstract sciences or of demonstration are quantity and number, and that all attempts to extend this more perfect species of knowledge beyond these bounds are mere sophistry and illusion. As the component parts of quantity and number are entirely similar, their relations become intricate and involved; and nothing can be more curious, as well as useful, than to trace, by a variety of mediums, their equality or inequality, through their different appearances.But as all other ideas are clearly distinct and different from each other, we can never advance farther, by our utmost scrutiny, than to observe this diversity, and, by an obvious reflection, pronounce one thing not to be another. Or if there be any difficulty in these decisions, it proceeds entirely from the undeterminate meaning of words, which is corrected by juster definitions. That the square of the hypotenuse is equal to the squares of the other two sides cannot be known, let the terms be ever so exactly defined, without a train of reasoning and enquiry. But to convince us of this proposition, that where there is no property, there can be no injustice, it is only necessary to define the terms, and explain injustice to be a violation of property. This proposition is, indeed, nothing but a more imperfect definition. It is the same case with all those pretended syllogistical reasonings, which may be found in every other branch of learning, except the sciences of quantity and number; and these may safely, I think, be pronounced the only proper objects of knowledge and demonstration. (Hume, 1975, Sec. 12, Pt. 3, pp. 163-165)Our knowledge springs from two fundamental sources of the mind; the first is the capacity of receiving representations (the ability to receive impressions), the second is the power to know an object through these representations (spontaneity in the production of concepts).Through the first, an object is given to us; through the second, the object is thought in relation to that representation.... Intuition and concepts constitute, therefore, the elements of all our knowledge, so that neither concepts without intuition in some way corresponding to them, nor intuition without concepts, can yield knowledge. Both may be either pure or empirical.... Pure intuitions or pure concepts are possible only a priori; empirical intuitions and empirical concepts only a posteriori. If the receptivity of our mind, its power of receiving representations in so far as it is in any way affected, is to be called "sensibility," then the mind's power of producing representations from itself, the spontaneity of knowledge, should be called "understanding." Our nature is so constituted that our intuitions can never be other than sensible; that is, it contains only the mode in which we are affected by objects. The faculty, on the other hand, which enables us to think the object of sensible intuition is the understanding.... Without sensibility, no object would be given to us; without understanding, no object would be thought. Thoughts without content are empty; intuitions without concepts are blind. It is therefore just as necessary to make our concepts sensible, that is, to add the object to them in intuition, as to make our intuitions intelligible, that is to bring them under concepts. These two powers or capacities cannot exchange their functions. The understanding can intuit nothing, the senses can think nothing. Only through their union can knowledge arise. (Kant, 1933, Sec. 1, Pt. 2, B74-75 [p. 92])Metaphysics, as a natural disposition of Reason is real, but it is also, in itself, dialectical and deceptive.... Hence to attempt to draw our principles from it, and in their employment to follow this natural but none the less fallacious illusion can never produce science, but only an empty dialectical art, in which one school may indeed outdo the other, but none can ever attain a justifiable and lasting success. In order that, as a science, it may lay claim not merely to deceptive persuasion, but to insight and conviction, a Critique of Reason must exhibit in a complete system the whole stock of conceptions a priori, arranged according to their different sources-the Sensibility, the understanding, and the Reason; it must present a complete table of these conceptions, together with their analysis and all that can be deduced from them, but more especially the possibility of synthetic knowledge a priori by means of their deduction, the principles of its use, and finally, its boundaries....This much is certain: he who has once tried criticism will be sickened for ever of all the dogmatic trash he was compelled to content himself with before, because his Reason, requiring something, could find nothing better for its occupation. Criticism stands to the ordinary school metaphysics exactly in the same relation as chemistry to alchemy, or as astron omy to fortune-telling astrology. I guarantee that no one who has comprehended and thought out the conclusions of criticism, even in these Prolegomena, will ever return to the old sophistical pseudo-science. He will rather look forward with a kind of pleasure to a metaphysics, certainly now within his power, which requires no more preparatory discoveries, and which alone can procure for reason permanent satisfaction. (Kant, 1891, pp. 115-116)Knowledge is only real and can only be set forth fully in the form of science, in the form of system. Further, a so-called fundamental proposition or first principle of philosophy, even if it is true, it is yet none the less false, just because and in so far as it is merely a fundamental proposition, merely a first principle. It is for that reason easily refuted. The refutation consists in bringing out its defective character; and it is defective because it is merely the universal, merely a principle, the beginning. If the refutation is complete and thorough, it is derived and developed from the nature of the principle itself, and not accomplished by bringing in from elsewhere other counter-assurances and chance fancies. It would be strictly the development of the principle, and thus the completion of its deficiency, were it not that it misunderstands its own purport by taking account solely of the negative aspect of what it seeks to do, and is not conscious of the positive character of its process and result. The really positive working out of the beginning is at the same time just as much the very reverse: it is a negative attitude towards the principle we start from. Negative, that is to say, in its one-sided form, which consists in being primarily immediate, a mere purpose. It may therefore be regarded as a refutation of what constitutes the basis of the system; but more correctly it should be looked at as a demonstration that the basis or principle of the system is in point of fact merely its beginning. (Hegel, 1910, pp. 21-22)Knowledge, action, and evaluation are essentially connected. The primary and pervasive significance of knowledge lies in its guidance of action: knowing is for the sake of doing. And action, obviously, is rooted in evaluation. For a being which did not assign comparative values, deliberate action would be pointless; and for one which did not know, it would be impossible. Conversely, only an active being could have knowledge, and only such a being could assign values to anything beyond his own feelings. A creature which did not enter into the process of reality to alter in some part the future content of it, could apprehend a world only in the sense of intuitive or esthetic contemplation; and such contemplation would not possess the significance of knowledge but only that of enjoying and suffering. (Lewis, 1946, p. 1)"Evolutionary epistemology" is a branch of scholarship that applies the evolutionary perspective to an understanding of how knowledge develops. Knowledge always involves getting information. The most primitive way of acquiring it is through the sense of touch: amoebas and other simple organisms know what happens around them only if they can feel it with their "skins." The knowledge such an organism can have is strictly about what is in its immediate vicinity. After a huge jump in evolution, organisms learned to find out what was going on at a distance from them, without having to actually feel the environment. This jump involved the development of sense organs for processing information that was farther away. For a long time, the most important sources of knowledge were the nose, the eyes, and the ears. The next big advance occurred when organisms developed memory. Now information no longer needed to be present at all, and the animal could recall events and outcomes that happened in the past. Each one of these steps in the evolution of knowledge added important survival advantages to the species that was equipped to use it.Then, with the appearance in evolution of humans, an entirely new way of acquiring information developed. Up to this point, the processing of information was entirely intrasomatic.... But when speech appeared (and even more powerfully with the invention of writing), information processing became extrasomatic. After that point knowledge did not have to be stored in the genes, or in the memory traces of the brain; it could be passed on from one person to another through words, or it could be written down and stored on a permanent substance like stone, paper, or silicon chips-in any case, outside the fragile and impermanent nervous system. (Csikszentmihalyi, 1993, pp. 56-57)Historical dictionary of quotations in cognitive science > Knowledge
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2 система представления знаний
Computers: knowledge representation systemУниверсальный русско-английский словарь > система представления знаний
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3 sistema experto
m.intelligent knowledge-based system, IKBS, expert system.* * *expert system* * *(n.) = expert system, knowledge-base systemEx. For the present this definition will have to stand as a statement covering programmes in which terms like ' expert systems', 'artificial intelligence', 'computer systems' abound.Ex. A knowledge-based system is defined as a system that displays competence through explicit knowledge representation schemes.* * *(n.) = expert system, knowledge-base systemEx: For the present this definition will have to stand as a statement covering programmes in which terms like ' expert systems', 'artificial intelligence', 'computer systems' abound.
Ex: A knowledge-based system is defined as a system that displays competence through explicit knowledge representation schemes. -
4 sistema basado en el conocimiento
(n.) = knowledge-base systemEx. A knowledge-based system is defined as a system that displays competence through explicit knowledge representation schemes.* * *(n.) = knowledge-base systemEx: A knowledge-based system is defined as a system that displays competence through explicit knowledge representation schemes.
Spanish-English dictionary > sistema basado en el conocimiento
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5 система представления знаний и построения логических рассуждений
1) Mechanics: knowledge representation-reasoning system2) Robots: knowledge representation/reasoning system (в СИИ)Универсальный русско-английский словарь > система представления знаний и построения логических рассуждений
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6 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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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
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8 Mind
It becomes, therefore, no inconsiderable part of science... to know the different operations of the mind, to separate them from each other, to class them under their proper heads, and to correct all that seeming disorder in which they lie involved when made the object of reflection and inquiry.... It cannot be doubted that the mind is endowed with several powers and faculties, that these powers are distinct from one another, and that what is really distinct to the immediate perception may be distinguished by reflection and, consequently, that there is a truth and falsehood which lie not beyond the compass of human understanding. (Hume, 1955, p. 22)Let us then suppose the mind to be, as we say, white Paper, void of all Characters, without any Ideas: How comes it to be furnished? Whence comes it by that vast store, which the busy and boundless Fancy of Man has painted on it, with an almost endless variety? Whence has it all the materials of Reason and Knowledge? To this I answer, in one word, from Experience. (Locke, quoted in Herrnstein & Boring, 1965, p. 584)The kind of logic in mythical thought is as rigorous as that of modern science, and... the difference lies, not in the quality of the intellectual process, but in the nature of things to which it is applied.... Man has always been thinking equally well; the improvement lies, not in an alleged progress of man's mind, but in the discovery of new areas to which it may apply its unchanged and unchanging powers. (Leґvi-Strauss, 1963, p. 230)MIND. A mysterious form of matter secreted by the brain. Its chief activity consists in the endeavor to ascertain its own nature, the futility of the attempt being due to the fact that it has nothing but itself to know itself with. (Bierce, quoted in Minsky, 1986, p. 55)[Philosophy] understands the foundations of knowledge and it finds these foundations in a study of man-as-knower, of the "mental processes" or the "activity of representation" which make knowledge possible. To know is to represent accurately what is outside the mind, so to understand the possibility and nature of knowledge is to understand the way in which the mind is able to construct such representation.... We owe the notion of a "theory of knowledge" based on an understanding of "mental processes" to the seventeenth century, and especially to Locke. We owe the notion of "the mind" as a separate entity in which "processes" occur to the same period, and especially to Descartes. We owe the notion of philosophy as a tribunal of pure reason, upholding or denying the claims of the rest of culture, to the eighteenth century and especially to Kant, but this Kantian notion presupposed general assent to Lockean notions of mental processes and Cartesian notions of mental substance. (Rorty, 1979, pp. 3-4)Under pressure from the computer, the question of mind in relation to machine is becoming a central cultural preoccupation. It is becoming for us what sex was to Victorians-threat, obsession, taboo, and fascination. (Turkle, 1984, p. 313)7) Understanding the Mind Remains as Resistant to Neurological as to Cognitive AnalysesRecent years have been exciting for researchers in the brain and cognitive sciences. Both fields have flourished, each spurred on by methodological and conceptual developments, and although understanding the mechanisms of mind is an objective shared by many workers in these areas, their theories and approaches to the problem are vastly different....Early experimental psychologists, such as Wundt and James, were as interested in and knowledgeable about the anatomy and physiology of the nervous system as about the young science of the mind. However, the experimental study of mental processes was short-lived, being eclipsed by the rise of behaviorism early in this century. It was not until the late 1950s that the signs of a new mentalism first appeared in scattered writings of linguists, philosophers, computer enthusiasts, and psychologists.In this new incarnation, the science of mind had a specific mission: to challenge and replace behaviorism. In the meantime, brain science had in many ways become allied with a behaviorist approach.... While behaviorism sought to reduce the mind to statements about bodily action, brain science seeks to explain the mind in terms of physiochemical events occurring in the nervous system. These approaches contrast with contemporary cognitive science, which tries to understand the mind as it is, without any reduction, a view sometimes described as functionalism.The cognitive revolution is now in place. Cognition is the subject of contemporary psychology. This was achieved with little or no talk of neurons, action potentials, and neurotransmitters. Similarly, neuroscience has risen to an esteemed position among the biological sciences without much talk of cognitive processes. Do the fields need each other?... [Y]es because the problem of understanding the mind, unlike the wouldbe problem solvers, respects no disciplinary boundaries. It remains as resistant to neurological as to cognitive analyses. (LeDoux & Hirst, 1986, pp. 1-2)Since the Second World War scientists from different disciplines have turned to the study of the human mind. Computer scientists have tried to emulate its capacity for visual perception. Linguists have struggled with the puzzle of how children acquire language. Ethologists have sought the innate roots of social behaviour. Neurophysiologists have begun to relate the function of nerve cells to complex perceptual and motor processes. Neurologists and neuropsychologists have used the pattern of competence and incompetence of their brain-damaged patients to elucidate the normal workings of the brain. Anthropologists have examined the conceptual structure of cultural practices to advance hypotheses about the basic principles of the mind. These days one meets engineers who work on speech perception, biologists who investigate the mental representation of spatial relations, and physicists who want to understand consciousness. And, of course, psychologists continue to study perception, memory, thought and action.... [W]orkers in many disciplines have converged on a number of central problems and explanatory ideas. They have realized that no single approach is likely to unravel the workings of the mind: it will not give up its secrets to psychology alone; nor is any other isolated discipline-artificial intelligence, linguistics, anthropology, neurophysiology, philosophy-going to have any greater success. (Johnson-Laird, 1988, p. 7)Historical dictionary of quotations in cognitive science > Mind
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9 contenido1
1 = content, content(s), details, value, knowledge content, subject matter.Ex. An abstract is a concise and accurate representation of the contents of a document, in a style similar to that of the original document.Ex. Most of the memex contents are purchased on microfilm ready for insertion.Ex. With minimum authorization, details of the circulation and order records are not displayed.Ex. A good initial value for this field will start the system off with a good guess so that claims for missing issues are not unreasonable at the beginning.Ex. Knowledge level description is a proposal that emphasizes the knowledge content and usage and abstracts away implementation details.Ex. The librarian generally looks at the book's title, subtitle, preface, contents list, etc, in order to determine the subject matter.----* a contenido enriquecido = content-enriched.* actualidad del contenido = currency.* análisis de contenido = content analysis, conceptual analysis.* análisis del contenido = document analysis, subject analysis, content analysis.* basado en la adquisición de contenidos teóricos = content based.* bloque funcional de análisis de contenido = subject analysis block.* con contenido enriquecido = content-enriched.* con mucho contenido = information packed [information-packed].* contenido de agua = moisture content.* contenido de humedad = moisture content.* contenido de la información = information content.* contenido del campo = field content.* contenido del documento = document content.* contenido digital = digital content.* contenido documental = document content.* contenido electrónico = electronic content [e-content].* contenido factual = factual content.* contenido intelectual = intellectual content.* contenido multimedia = multimedia content.* contenido temático = subject content, subject scope, knowledge content.* contenido web en formato RSS = RSS feed.* creador de contenido = content creator.* de bajo contenido en grasas = low fat.* de contenido enriquecido = content-enriched.* descripción del contenido = subject statement.* descriptivo del contenido = subject-descriptive.* descriptor del contenido = content descriptor.* directorio accesible por su contenido (cafs) = content-addressable file store (cafs).* distribución de contenido = content distribution, content delivery.* error de contenido = factual error.* filtrado de contenido = content filtering.* gestión del contenido = content management.* gestor de contenidos = content management software (CMS).* indicador de contenido = content designator.* indicativo del contenido = subject-descriptive.* índice de contenido = contents list, table of contents [ToC], contents table.* información sobre el contenido = subject information.* notas de contenido = contents notes.* obra de contenido general = general work.* orientado hacia el contenido = content-oriented.* palabra de contenido = content word.* palabra llena de contenido = substantive word.* recuperación de imágenes por el contenido = content-based image retrieval.* relación de contenido = contents notes.* representación del contenido = content representation.* representación del contenido temático = subject representation.* rico en contenido = content-rich.* rico en contenido temático = subject-rich.* ser de contenido + Adjetivo = be + Adjetivo + in content.* ser rico en contenido = be rich in content.* sin contenido = contentless, trivial.* tabla de contenido = table of contents [ToC].* tener un alto contenido de = be high in.* validez del contenido = content validity. -
10 contenido
adj.restrained, pent-up, temperate, moderate.m.1 contents.2 content.3 meaning, subject matter, purport.4 quantity or volume contained, content, volume, contents.past part.past participle of spanish verb: contener.* * *1 content, contents plural————————1→ link=contener contener► adjetivo1 (moderado) moderate, reserved1 content, contents plural* * *noun m.* * *1. ADJ1) [persona] restrained, controlled2) [risa, emoción] suppressed2. SM1) [de recipiente, paquete] contents pl2) [de programa, proyecto] content* * *I IImasculino (de recipiente, producto, mezcla) contents; (de libro, carta) contentcontenido: 20 grageas — contents: 20 tablets
* * *I IImasculino (de recipiente, producto, mezcla) contents; (de libro, carta) contentcontenido: 20 grageas — contents: 20 tablets
* * *contenido11 = content, content(s), details, value, knowledge content, subject matter.Ex: An abstract is a concise and accurate representation of the contents of a document, in a style similar to that of the original document.
Ex: Most of the memex contents are purchased on microfilm ready for insertion.Ex: With minimum authorization, details of the circulation and order records are not displayed.Ex: A good initial value for this field will start the system off with a good guess so that claims for missing issues are not unreasonable at the beginning.Ex: Knowledge level description is a proposal that emphasizes the knowledge content and usage and abstracts away implementation details.Ex: The librarian generally looks at the book's title, subtitle, preface, contents list, etc, in order to determine the subject matter.* a contenido enriquecido = content-enriched.* actualidad del contenido = currency.* análisis de contenido = content analysis, conceptual analysis.* análisis del contenido = document analysis, subject analysis, content analysis.* basado en la adquisición de contenidos teóricos = content based.* bloque funcional de análisis de contenido = subject analysis block.* con contenido enriquecido = content-enriched.* con mucho contenido = information packed [information-packed].* contenido de agua = moisture content.* contenido de humedad = moisture content.* contenido de la información = information content.* contenido del campo = field content.* contenido del documento = document content.* contenido digital = digital content.* contenido documental = document content.* contenido electrónico = electronic content [e-content].* contenido factual = factual content.* contenido intelectual = intellectual content.* contenido multimedia = multimedia content.* contenido temático = subject content, subject scope, knowledge content.* contenido web en formato RSS = RSS feed.* creador de contenido = content creator.* de bajo contenido en grasas = low fat.* de contenido enriquecido = content-enriched.* descripción del contenido = subject statement.* descriptivo del contenido = subject-descriptive.* descriptor del contenido = content descriptor.* directorio accesible por su contenido (cafs) = content-addressable file store (cafs).* distribución de contenido = content distribution, content delivery.* error de contenido = factual error.* filtrado de contenido = content filtering.* gestión del contenido = content management.* gestor de contenidos = content management software (CMS).* indicador de contenido = content designator.* indicativo del contenido = subject-descriptive.* índice de contenido = contents list, table of contents [ToC], contents table.* información sobre el contenido = subject information.* notas de contenido = contents notes.* obra de contenido general = general work.* orientado hacia el contenido = content-oriented.* palabra de contenido = content word.* palabra llena de contenido = substantive word.* recuperación de imágenes por el contenido = content-based image retrieval.* relación de contenido = contents notes.* representación del contenido = content representation.* representación del contenido temático = subject representation.* rico en contenido = content-rich.* rico en contenido temático = subject-rich.* ser de contenido + Adjetivo = be + Adjetivo + in content.* ser rico en contenido = be rich in content.* sin contenido = contentless, trivial.* tabla de contenido = table of contents [ToC].* tener un alto contenido de = be high in.* validez del contenido = content validity.contenido22 = pent-up, bottled-up.Ex: They both exploded into laughter, thereby releasing the pent-up tension.
Ex: The aim of therapy is the gentle release of bottled-up feelings.* risa contenida = titter.* * *A (de un recipiente, producto) contents (pl)verter el contenido en una jarra empty the contents into a jugrevisaron el contenido de las cajas they checked the contents of the boxes[ S ] contenido: 20 grageas contains 20 tablets[ S ] contenido inflamable inflammable, contents inflammableB (cantidad contenida) contentcontenido vitamínico vitamin contentcon bajo contenido de grasa low in fatC (de una obra, un discurso) contentun libro de alto contenido político y social a book with important political and social contentel contenido ideológico de la obra the ideological content of the workproveedor de contenidos content supplier* * *
Del verbo contener: ( conjugate contener)
contenido es:
el participio
Multiple Entries:
contener
contenido
contener ( conjugate contener) verbo transitivo
‹ tendencia› to curb;
‹ respiración› to hold;
‹risa/lágrimas› to contain (frml), to hold back;
‹invasión/revuelta› to contain
contenerse verbo pronominal ( refl) to contain oneself;
contenido sustantivo masculino (de recipiente, producto, mezcla) contents;
(de libro, carta) content
contener verbo transitivo
1 to contain: ¿qué contiene esa caja?, what does that box contain?
2 (refrenar una pasión) to hold back, restrain: ¡contén tus ansias de vengarte!, restrain your desire for revenge!
contenido sustantivo masculino content, contents pl
' contenido' also found in these entries:
Spanish:
agitar
- con
- de
- decir
- desalentador
- desalentadora
- huera
- huero
- índice
- jarro
- plato
- taza
- tenor
- vacía
- vacío
- botella
- camión
- copa
- fondo
- medida
- miga
- saco
- vaciar
- vaso
English:
content
- cupful
- dump
- subject matter
- video nasty
- controlled
- low
- pent-up
- rich
- subject
* * *contenido nm1. [de recipiente, libro] contents;una bebida con un alto contenido alcohólico a drink with a high alcohol content2. [de discurso, redacción] content;un programa con alto contenido de violencia a programme containing a lot of violence3. Ling content* * *m content* * *contenido, -da adj: restrained, reservedcontenido nm: contents pl, content* * *contenido n contents -
11 Grammar
I think that the failure to offer a precise account of the notion "grammar" is not just a superficial defect in linguistic theory that can be remedied by adding one more definition. It seems to me that until this notion is clarified, no part of linguistic theory can achieve anything like a satisfactory development.... I have been discussing a grammar of a particular language here as analogous to a particular scientific theory, dealing with its subject matter (the set of sentences of this language) much as embryology or physics deals with its subject matter. (Chomsky, 1964, p. 213)Obviously, every speaker of a language has mastered and internalized a generative grammar that expresses his knowledge of his language. This is not to say that he is aware of the rules of grammar or even that he can become aware of them, or that his statements about his intuitive knowledge of his language are necessarily accurate. (Chomsky, 1965, p. 8)Much effort has been devoted to showing that the class of possible transformations can be substantially reduced without loss of descriptive power through the discovery of quite general conditions that all such rules and the representations they operate on and form must meet.... [The] transformational rules, at least for a substantial core grammar, can be reduced to the single rule, "Move alpha" (that is, "move any category anywhere"). (Mehler, Walker & Garrett, 1982, p. 21)4) The Relationship of Transformational Grammar to Semantics and to Human Performancehe implications of assuming a semantic memory for what we might call "generative psycholinguistics" are: that dichotomous judgments of semantic well-formedness versus anomaly are not essential or inherent to language performance; that the transformational component of a grammar is the part most relevant to performance models; that a generative grammar's role should be viewed as restricted to language production, whereas sentence understanding should be treated as a problem of extracting a cognitive representation of a text's message; that until some theoretical notion of cognitive representation is incorporated into linguistic conceptions, they are unlikely to provide either powerful language-processing programs or psychologically relevant theories.Although these implications conflict with the way others have viewed the relationship of transformational grammars to semantics and to human performance, they do not eliminate the importance of such grammars to psychologists, an importance stressed in, and indeed largely created by, the work of Chomsky. It is precisely because of a growing interdependence between such linguistic theory and psychological performance models that their relationship needs to be clarified. (Quillian, 1968, p. 260)here are some terminological distinctions that are crucial to explain, or else confusions can easily arise. In the formal study of grammar, a language is defined as a set of sentences, possibly infinite, where each sentence is a string of symbols or words. One can think of each sentence as having several representations linked together: one for its sound pattern, one for its meaning, one for the string of words constituting it, possibly others for other data structures such as the "surface structure" and "deep structure" that are held to mediate the mapping between sound and meaning. Because no finite system can store an infinite number of sentences, and because humans in particular are clearly not pullstring dolls that emit sentences from a finite stored list, one must explain human language abilities by imputing to them a grammar, which in the technical sense is a finite rule system, or programme, or circuit design, capable of generating and recognizing the sentences of a particular language. This "mental grammar" or "psychogrammar" is the neural system that allows us to speak and understand the possible word sequences of our native tongue. A grammar for a specific language is obviously acquired by a human during childhood, but there must be neural circuitry that actually carries out the acquisition process in the child, and this circuitry may be called the language faculty or language acquisition device. An important part of the language faculty is universal grammar, an implementation of a set of principles or constraints that govern the possible form of any human grammar. (Pinker, 1996, p. 263)A grammar of language L is essentially a theory of L. Any scientific theory is based on a finite number of observations, and it seeks to relate the observed phenomena and to predict new phenomena by constructing general laws in terms of hypothetical constructs.... Similarly a grammar of English is based on a finite corpus of utterances (observations), and it will contain certain grammatical rules (laws) stated in terms of the particular phonemes, phrases, etc., of English (hypothetical constructs). These rules express structural relations among the sentences of the corpus and the infinite number of sentences generated by the grammar beyond the corpus (predictions). (Chomsky, 1957, p. 49)Historical dictionary of quotations in cognitive science > Grammar
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12 viabilidad
f.viability.* * *1 viability\plan de viabilidad viability study* * *SF1) [de un plan] viability, feasibility2) (Aut) road conditions [pl]* * ** * *= feasibility, viability, practicability, workability, satisfiability, tractability.Ex. However, even with selective indexing in combination, the limit of feasibility is usually reckoned to be compound subjects consisting of five terms.Ex. Witness the viability and influence of Panizzi's ideology despite the vulnerability of many of his rules = Véase como ejemplo la viabilidad e influencia de la ideología de Panizzi a pesar de la vulnerabilidad de muchas de sus reglas.Ex. This article analyses the feasibility, practicability, overall applicability and financial issues of constructing a library network.Ex. A unified data base of the Republic of Ukraine's information system illustrates the workability of the principles.Ex. The satisfiability of an information model in a universe of discourse can be formally checked by complementing the information model with a representation of concrete knowledge which is assumed to be complete.Ex. Experiments in automated reasoning have substantially broadened the meaning of 'practical tractability'.----* estudio de viabilidad = demonstration project, feasibility study.* * ** * *= feasibility, viability, practicability, workability, satisfiability, tractability.Ex: However, even with selective indexing in combination, the limit of feasibility is usually reckoned to be compound subjects consisting of five terms.
Ex: Witness the viability and influence of Panizzi's ideology despite the vulnerability of many of his rules = Véase como ejemplo la viabilidad e influencia de la ideología de Panizzi a pesar de la vulnerabilidad de muchas de sus reglas.Ex: This article analyses the feasibility, practicability, overall applicability and financial issues of constructing a library network.Ex: A unified data base of the Republic of Ukraine's information system illustrates the workability of the principles.Ex: The satisfiability of an information model in a universe of discourse can be formally checked by complementing the information model with a representation of concrete knowledge which is assumed to be complete.Ex: Experiments in automated reasoning have substantially broadened the meaning of 'practical tractability'.* estudio de viabilidad = demonstration project, feasibility study.* * *1 (de un proyecto) viability, feasibility2 (de un bebé) viability* * *
viabilidad sustantivo femenino
1 viability
2 feasibility, practicability
♦ Locuciones: Econ plan de viabilidad: ante la difícil situación de la empresa, se está elaborando un plan de viabilidad, due to the company's precarious situation a feasibility plan is going to be drawn up
' viabilidad' also found in these entries:
Spanish:
duda
English:
feasibility
- practicality
* * *viabilidad nfviability, feasibility* * *f viability, feasibility -
13 Thinking
But what then am I? A thing which thinks. What is a thing which thinks? It is a thing which doubts, understands, [conceives], affirms, denies, wills, refuses, which also imagines and feels. (Descartes, 1951, p. 153)I have been trying in all this to remove the temptation to think that there "must be" a mental process of thinking, hoping, wishing, believing, etc., independent of the process of expressing a thought, a hope, a wish, etc.... If we scrutinize the usages which we make of "thinking," "meaning," "wishing," etc., going through this process rids us of the temptation to look for a peculiar act of thinking, independent of the act of expressing our thoughts, and stowed away in some particular medium. (Wittgenstein, 1958, pp. 41-43)Analyse the proofs employed by the subject. If they do not go beyond observation of empirical correspondences, they can be fully explained in terms of concrete operations, and nothing would warrant our assuming that more complex thought mechanisms are operating. If, on the other hand, the subject interprets a given correspondence as the result of any one of several possible combinations, and this leads him to verify his hypotheses by observing their consequences, we know that propositional operations are involved. (Inhelder & Piaget, 1958, p. 279)In every age, philosophical thinking exploits some dominant concepts and makes its greatest headway in solving problems conceived in terms of them. The seventeenth- and eighteenth-century philosophers construed knowledge, knower, and known in terms of sense data and their association. Descartes' self-examination gave classical psychology the mind and its contents as a starting point. Locke set up sensory immediacy as the new criterion of the real... Hobbes provided the genetic method of building up complex ideas from simple ones... and, in another quarter, still true to the Hobbesian method, Pavlov built intellect out of conditioned reflexes and Loeb built life out of tropisms. (S. Langer, 1962, p. 54)Experiments on deductive reasoning show that subjects are influenced sufficiently by their experience for their reasoning to differ from that described by a purely deductive system, whilst experiments on inductive reasoning lead to the view that an understanding of the strategies used by adult subjects in attaining concepts involves reference to higher-order concepts of a logical and deductive nature. (Bolton, 1972, p. 154)There are now machines in the world that think, that learn and create. Moreover, their ability to do these things is going to increase rapidly until-in the visible future-the range of problems they can handle will be coextensive with the range to which the human mind has been applied. (Newell & Simon, quoted in Weizenbaum, 1976, p. 138)But how does it happen that thinking is sometimes accompanied by action and sometimes not, sometimes by motion, and sometimes not? It looks as if almost the same thing happens as in the case of reasoning and making inferences about unchanging objects. But in that case the end is a speculative proposition... whereas here the conclusion which results from the two premises is an action.... I need covering; a cloak is a covering. I need a cloak. What I need, I have to make; I need a cloak. I have to make a cloak. And the conclusion, the "I have to make a cloak," is an action. (Nussbaum, 1978, p. 40)It is well to remember that when philosophy emerged in Greece in the sixth century, B.C., it did not burst suddenly out of the Mediterranean blue. The development of societies of reasoning creatures-what we call civilization-had been a process to be measured not in thousands but in millions of years. Human beings became civilized as they became reasonable, and for an animal to begin to reason and to learn how to improve its reasoning is a long, slow process. So thinking had been going on for ages before Greece-slowly improving itself, uncovering the pitfalls to be avoided by forethought, endeavoring to weigh alternative sets of consequences intellectually. What happened in the sixth century, B.C., is that thinking turned round on itself; people began to think about thinking, and the momentous event, the culmination of the long process to that point, was in fact the birth of philosophy. (Lipman, Sharp & Oscanyan, 1980, p. xi)The way to look at thought is not to assume that there is a parallel thread of correlated affects or internal experiences that go with it in some regular way. It's not of course that people don't have internal experiences, of course they do; but that when you ask what is the state of mind of someone, say while he or she is performing a ritual, it's hard to believe that such experiences are the same for all people involved.... The thinking, and indeed the feeling in an odd sort of way, is really going on in public. They are really saying what they're saying, doing what they're doing, meaning what they're meaning. Thought is, in great part anyway, a public activity. (Geertz, quoted in J. Miller, 1983, pp. 202-203)Everything should be made as simple as possible, but not simpler. (Einstein, quoted in Minsky, 1986, p. 17)What, in effect, are the conditions for the construction of formal thought? The child must not only apply operations to objects-in other words, mentally execute possible actions on them-he must also "reflect" those operations in the absence of the objects which are replaced by pure propositions. Thus, "reflection" is thought raised to the second power. Concrete thinking is the representation of a possible action, and formal thinking is the representation of a representation of possible action.... It is not surprising, therefore, that the system of concrete operations must be completed during the last years of childhood before it can be "reflected" by formal operations. In terms of their function, formal operations do not differ from concrete operations except that they are applied to hypotheses or propositions [whose logic is] an abstract translation of the system of "inference" that governs concrete operations. (Piaget, quoted in Minsky, 1986, p. 237)[E]ven a human being today (hence, a fortiori, a remote ancestor of contemporary human beings) cannot easily or ordinarily maintain uninterrupted attention on a single problem for more than a few tens of seconds. Yet we work on problems that require vastly more time. The way we do that (as we can observe by watching ourselves) requires periods of mulling to be followed by periods of recapitulation, describing to ourselves what seems to have gone on during the mulling, leading to whatever intermediate results we have reached. This has an obvious function: namely, by rehearsing these interim results... we commit them to memory, for the immediate contents of the stream of consciousness are very quickly lost unless rehearsed.... Given language, we can describe to ourselves what seemed to occur during the mulling that led to a judgment, produce a rehearsable version of the reaching-a-judgment process, and commit that to long-term memory by in fact rehearsing it. (Margolis, 1987, p. 60)Historical dictionary of quotations in cognitive science > Thinking
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14 escaso
adj.scarce, bare, scrimpy, poor.* * *► adjetivo1 (insuficiente) scarce, scant, very little, small3 (poco de algo) few4 (que le falta poco) hardly, scarcely, barely5 (mezquino) miserly, mean\andar escaso,-a de algo to be short of something* * *(f. - escasa)adj.scarce, scant* * *ADJ1) (=limitado)las posibilidades de encontrarlo vivo son muy escasas — the chances of finding him alive are very slim
el recital tuvo escaso público — the recital was poorly o sparsely attended
2)3) (=muy justo)hay dos toneladas escasas — there are barely o scarcely two tons
duró una hora escasa — it lasted barely o scarcely an hour
tiene 15 años escasos — he's barely o hardly 15
4) †† (=tacaño) mean, stingy* * *- sa adjetivoa) < recursos económicos> limited, scant; < posibilidades> slim, slender; < visibilidad> poor; <conocimientos/experiencia> limitedb) (en expresiones de medida, peso)pesa un kilo escaso — it weighs barely o scarcely a kilo
a escasos tres días/dos meses — (AmL) barely three days/two months away
c) [estar] ( falto)escaso de algo — de dinero/tiempo short of something
* * *= light [lighter -comp., lightest -sup.], low [lower -comp., lowest -sup.], meagre [meager, -USA], poor [poorer -comp., poorest -sup.], scant, scarce [scarcer -comp., scarcest -sup.], slight [sligther -comp., slightest -sup.], slim [slimmer -comp., slimmest -sup.], scanty [scantier -comp., scantiest -sup.], sparse, little in the way of, thin [thinner -comp., thinnest -sup.], skimpy [skimpier -comp., skimpiest -sup.].Ex. Light use of library information resources raises the concern that students are developing an inadequate base of retrieval skills for finding information on new procedures, diseases and drugs.Ex. Carlton Duncan discussed the difficulties built into the educational processes which led to under-performance at school and the resulting low representation in higher education and low entry into the professions.Ex. Soon, however, the collection outgrew its meagre quarters and a full-fledged library occupying a 40x60 foot area came into being.Ex. Examples are generally poor or obscure (often in Latin or German).Ex. Scant attention is paid to evaluation and the needs of users.Ex. If staff time and expertise for initial evolution of the thesaurus are scarce, the system can usually function with a less thoroughly refined thesaurus.Ex. The ISBD(CP)'s recommendations are very similar in principle to those for AACR2's 'in' analytics, except for slight changes in punctuation and order.Ex. Abstracting journals vary enormously in scope ranging from vast publications covering an entire discipline, to slim volumes centred on a relatively narrow topic.Ex. However, in producing a bulletin one is often torn between including the scanty, undigested and possibly inaccurate details of a new proposal and holding fire until fuller information is available, and thereby missing a publication deadline.Ex. The popular libraries in Lima are sparse and lack the technology and the cultural and information instruments popular in Italy.Ex. Without any significant restructuring, the LIS programme in Iran will provide little in the way of riding out the rapid transition that the field is currently experiencing.Ex. Although it may be a bit thin in its use of standard academic sources of information, it is exceedingly strong on insider information and personal interviews.Ex. Often times new graduate job-seekers produce skimpy resumes because they fail to include all of their relevant experience.----* andar escaso de = be short of.* andar escaso de dinero = be strapped for + cash.* andar (muy) escaso de dinero = be (hard) pressed for + money.* andar (muy) escaso de tiempo = be (hard) pressed for + time.* con medios muy escasos = on a shoestring (budget).* escasa comunicación = poor communication.* escasa probabilidad = slim chance.* escaso de dinero = cash strapped, financially strapped, short of money, strapped.* escaso de ideas = short of ideas.* escaso de tiempo = time-strapped, short of time.* evidencia + ser + escasa = evidence + be + slight.* hacerse escaso = become + scarce.* ser escaso = be few and far between.* ser muy escaso = be at a premium.* ya de por sí escaso = already-scarce.* * *- sa adjetivoa) < recursos económicos> limited, scant; < posibilidades> slim, slender; < visibilidad> poor; <conocimientos/experiencia> limitedb) (en expresiones de medida, peso)pesa un kilo escaso — it weighs barely o scarcely a kilo
a escasos tres días/dos meses — (AmL) barely three days/two months away
c) [estar] ( falto)escaso de algo — de dinero/tiempo short of something
* * *= light [lighter -comp., lightest -sup.], low [lower -comp., lowest -sup.], meagre [meager, -USA], poor [poorer -comp., poorest -sup.], scant, scarce [scarcer -comp., scarcest -sup.], slight [sligther -comp., slightest -sup.], slim [slimmer -comp., slimmest -sup.], scanty [scantier -comp., scantiest -sup.], sparse, little in the way of, thin [thinner -comp., thinnest -sup.], skimpy [skimpier -comp., skimpiest -sup.].Ex: Light use of library information resources raises the concern that students are developing an inadequate base of retrieval skills for finding information on new procedures, diseases and drugs.
Ex: Carlton Duncan discussed the difficulties built into the educational processes which led to under-performance at school and the resulting low representation in higher education and low entry into the professions.Ex: Soon, however, the collection outgrew its meagre quarters and a full-fledged library occupying a 40x60 foot area came into being.Ex: Examples are generally poor or obscure (often in Latin or German).Ex: Scant attention is paid to evaluation and the needs of users.Ex: If staff time and expertise for initial evolution of the thesaurus are scarce, the system can usually function with a less thoroughly refined thesaurus.Ex: The ISBD(CP)'s recommendations are very similar in principle to those for AACR2's 'in' analytics, except for slight changes in punctuation and order.Ex: Abstracting journals vary enormously in scope ranging from vast publications covering an entire discipline, to slim volumes centred on a relatively narrow topic.Ex: However, in producing a bulletin one is often torn between including the scanty, undigested and possibly inaccurate details of a new proposal and holding fire until fuller information is available, and thereby missing a publication deadline.Ex: The popular libraries in Lima are sparse and lack the technology and the cultural and information instruments popular in Italy.Ex: Without any significant restructuring, the LIS programme in Iran will provide little in the way of riding out the rapid transition that the field is currently experiencing.Ex: Although it may be a bit thin in its use of standard academic sources of information, it is exceedingly strong on insider information and personal interviews.Ex: Often times new graduate job-seekers produce skimpy resumes because they fail to include all of their relevant experience.* andar escaso de = be short of.* andar escaso de dinero = be strapped for + cash.* andar (muy) escaso de dinero = be (hard) pressed for + money.* andar (muy) escaso de tiempo = be (hard) pressed for + time.* con medios muy escasos = on a shoestring (budget).* escasa comunicación = poor communication.* escasa probabilidad = slim chance.* escaso de dinero = cash strapped, financially strapped, short of money, strapped.* escaso de ideas = short of ideas.* escaso de tiempo = time-strapped, short of time.* evidencia + ser + escasa = evidence + be + slight.* hacerse escaso = become + scarce.* ser escaso = be few and far between.* ser muy escaso = be at a premium.* ya de por sí escaso = already-scarce.* * *escaso -sa1(poco, limitado): un país de escasos recursos económicos a country with limited o scant o slender economic resourcesante un público escaso in front of a small audienceescasas posibilidades de éxito slim o slender chances of success, little chance of successla visibilidad en la zona del aeropuerto es escasa there is poor o limited visibility around the airportla comida resultó escasa there wasn't enough foodobras de escasa calidad works of mediocre qualityuna persona de escasa inteligencia a person of limited intelligencemis conocimientos sobre este tema son escasos my knowledge of this subject is limited2(en expresiones de medida, peso): falta un mes escaso para que llegue there's barely o scarcely a month to go before it arrivesestá a una distancia de cinco kilómetros escasos it's barely o scarcely five kilometers awaypesa un kilo escaso it weighs barely o scarcely a kiloa escasos tres días/dos meses ( AmL); barely three days/two months awayse despertó luego de escasas tres horas de sueño ( AmL); she awoke having slept for barely three hours3 (falto) escaso DE algo short OF sthde momento ando escaso de dinero I'm a little o a bit short of money at the moment, money's a bit scarce o tight at the momentandamos escasos de personal we're short-staffed* * *
escaso◊ -sa adjetivo
‹ posibilidades› slim, slender;
‹ visibilidad› poor;
‹conocimientos/experiencia› limited
escaso,-a adj (alimentos, recursos) scarce, scant
(dinero, tiempo) short
(luz) poor
♦ Locuciones: andar escaso de, to be short of
' escaso' also found in these entries:
Spanish:
baja
- bajo
- contada
- contado
- corta
- corto
- delgada
- delgado
- escasa
- mezquina
- mezquino
- mínima
- mínimo
- pelada
- pelado
- apurado
- dinero
- pobre
English:
low
- marginal seat
- pressed
- run
- scant
- scanty
- scarce
- short
- slender
- slim
- small
- sparse
- meager
- narrow
- poor
- skimpy
- slight
- under
* * *escaso, -a adj1. [insuficiente] [conocimientos, recursos, medios] limited, scant;[víveres, trabajo] scarce; [cantidad, número, temperaturas] low; [visibilidad, luz] poor, low;escaso público se dio cita para ver el partido a poor crowd turned out to see the match;sus posibilidades son más bien escasas her chances are rather slim;vino tanta gente que la comida se quedó escasa so many people came that there wasn't enough food;joyas de escaso valor jewellery of scant o little value;la obra tuvo escaso éxito the play had little success;debido al escaso tiempo con el que contaban due to the little time they had, since time was shortando escaso de dinero I don't have much money;el hotel está escaso de personal the hotel is short-staffed;la comida está un poco escasa de sal the food is in need of a bit more saltdura dos horas escasas it lasts barely two hours;a un mes escaso de las elecciones with barely a month to go to the elections;pesó dos kilos escasos al nacer she weighed barely two kilos at birth* * *adj1 recursos limited;escasas posibilidades de not much chance of, little chance of2:andar escaso de algo falto be short of sth3 ( justo):falta un mes escaso it’s barely a month away;un kilo escaso a scant kilo, barely a kilo* * *escaso, -sa adj1) : scarce, scant2)escaso de : short of* * *escaso adj1. (con incontables) little2. (con contables en singular) small / low3. (con contables en plural) few4. (apenas) just under / barelyandar/estar escaso de tiempo/dinero to be short of time/money -
15 fondo
m.1 bottom.doble fondo false bottomsin fondo bottomlesssu popularidad ha tocado fondo their popularity has reached an all-time low o rock bottom2 back.3 depth.tener un metro de fondo to be one meter deep4 background.sobre fondo negro on a black backgroundal fondo in the background5 heart, bottom.llegar al fondo de to get to the heart o bottom ofel problema de fondo the underlying problemla cuestión de fondo the fundamental issue6 fund (finance) (de dinero).a fondo perdido non-returnablerecaudar fondos to raise fundsfondo de amortización sinking fundfondo de comercio goodwillfondo común kittyfondo de garantía de depósito deposit guarantee fundfondo de inversión investment fundfondo Monetario Internacional International Monetary Fundfondo de pensiones pension fundfondos reservados = contingency funds available to ministries, for which they do not have to account publicly7 catalog, collection.fondo editorial backlist8 reason, basis (fundamento).9 substance.10 stamina (sport) (resistencia).de fondo long-distancede medio fondo middle-distance11 petticoat (combinación). (Colombian Spanish, Mexican Spanish)12 core, root, bottom.13 bed, lowest part.* * *1 (parte más baja) bottom2 (parte más lejana) end, back3 (segundo término) background4 (profundidad) depth5 (aguante) stamina6 FINANZAS fund7 (de libros etc) stock\a fondo perdido nonrecoverable, nonreturnablede... en fondo... abreasten el fondo figurado deep down, at heartreunir fondos to raise fundsfondo común kittyfondo de inversión investment fundfondo de pensiones pension fundFondo Monetario Internacional International Monetary Fundfondo del mar sea bedfondo y forma form and substancefondos bloqueados frozen assetsfondos disponibles available funds, liquid assetsfondos públicos public funds* * *noun m.1) bottom2) back, rear3) background4) fund* * *SM1) [parte inferior] [de caja, botella, lago, mar] bottom; [de río] bed•
los bajos fondos — the underworld•
una maletín con doble fondo — a case with a false bottom, a false-bottomed case•
irse al fondo — to sink to the bottom•
sin fondo — bottomlessla economía tocó fondo y el gobierno tuvo que devaluar la moneda — the economy reached o hit rock bottom and the government had to devalue the currency
hemos tocado fondo y todo indica que la recuperación está muy próxima — the market has bottomed out and all the indications are that a recovery is just around the corner
2) [parte posterior] [de pasillo, calle, nave] end; [de habitación, armario] back•
al fondo, su oficina está al fondo a la izquierda — her office is at the end on the left3) (=profundidad) [de cajón, edificio, bañera] depth¿cuánto tiene de fondo el armario? — how deep is the wardrobe?
•
tener mucho fondo — to be deep4) (=lo fundamental)en el fondo de esta polémica late el miedo al cambio — at the heart o bottom of this controversy lies a fear of change
•
la cuestión de fondo — the basic o fundamental issueel problema de fondo — the basic o fundamental o underlying problem
•
la forma y el fondo — form and contentartículo 2)•
llegar al fondo de la cuestión — to get to the bottom of the matter5) (=segundo plano) backgroundla historia transcurre sobre un fondo de creciente inquietud social — the story takes place against a background of growing social unrest
•
música de fondo — background music•
ruido de fondo — background noisefondo de escritorio, fondo de pantalla — (Inform) (desktop) wallpaper
6)•
a fondo —a) [como adj]•
una limpieza a fondo — a thorough cleanb) [como adv]no conoce a fondo la situación del país — he does not have a thorough o an in-depth knowledge of the country's situation
la policía investigará a fondo lo ocurrido — the police will conduct a thorough investigation of what happened
he estudiado a fondo a los escritores del Siglo de Oro — I have studied Golden Age writers in great depth
•
emplearse a fondo, tuvo que emplearse a fondo para disuadirlos — he had to use all his skill to dissuade themel equipo deberá emplearse a fondo para derrotar a sus adversarios — the team will have to draw on all its resources to beat their opponents
7)•
en el fondo —a) (=en nuestro interior) deep downen el fondo, es buena persona — deep down he's a good person, he's a good person at heart
•
en el fondo de su corazón — in his heart of hearts, deep downb) (=en realidad) reallylo que se debatirá en la reunión, en el fondo, es el futuro de la empresa — what is actually o really going to be debated in the meeting is the future of the company
la verdad es que en el fondo, no tengo ganas — to be honest, I really don't feel like it
en el fondo no quiere irse — when it comes down to it, he doesn't want to leave
c) (=en lo fundamental) fundamentally, essentiallyen el fondo ambos sistemas son muy parecidos — fundamentally o essentially, both systems are very similar
8) (Dep)•
carrera de fondo — long-distance race•
esquí de fondo — cross-country skiing•
corredor de medio fondo — middle-distance runner•
pruebas de medio fondo — middle-distance events9) (=dinero) (Com, Econ) fund; [en póker, entre amigos] pot, kittycontamos con un fondo de 150.000 euros para becas — we have at our disposal a budget of 150,000 euros for grants
su padre le ha prestado bastante dinero a fondo perdido — his father has given him quite a lot of money on permanent loan
Fondo de Compensación Interterritorial — system of financial redistribution between the autonomous regions of Spain
fondo ético — (Econ) ethical investment fund
10) pl fondos (=dinero) funds•
recaudar fondos — to raise funds•
estar sin fondos — to be out of funds, be broke *cheque o talón sin fondos — bounced cheque, rubber check (EEUU)
11) (=reserva) [de biblioteca, archivo, museo] collection12) (=carácter) nature, dispositionde fondo jovial — of cheery o cheerful disposition, cheerful-natured
13) (Dep) (=resistencia) stamina15) Méx•
con o de fondo — serious•
medio fondo — slip17) And (=finca) country estate18) Chile (Culin) large pot ( to feed a large number of people)* * *1)a) ( parte más baja) bottomb) (parte de atrás - de pasillo, calle) end; (- de habitación) backestaban al or en el fondo de la sala — they were at the back of the room
c) ( profundidad)d) ( de edificio) depthe) (en cuadro, fotografía) background2)a) (Lit) ( contenido) contentb) (Der)3) (Fin)a) ( de dinero) fundhacer un fondo común — to start a joint fund o (colloq) a kitty
un cheque sin fondos — a dud o (AmE) rubber check (colloq)
estoy mal de fondos — (fam) I'm short of cash (colloq)
c)a fondo perdido — <inversión/préstamo> non-refundable, non-recoverable
4) (Dep) ( en atletismo)de fondo — <corredor/carrera/prueba> long-distance
5) (de biblioteca, museo) collection6) (Méx) (Indum) slip, underskirt7) (en locs)a fondo — (loc adj) <estudio/investigación> in-depth; (loc adv) <prepararse/entrenar> thoroughly
conoce el área/tema a fondo — she knows the area/subject really well
de fondo — <ruido/música> background (before n); <error/discrepancia> fundamental
en el fondo: en el fondo no es malo deep down he's not a bad person; en el fondo nos llevamos bien we get on all right, really; fondo blanco! (AmL fam) bottoms up! (colloq); tener buen fondo to be a good person at heart; tocar fondo to bottom out; su credibilidad ha tocado fondo — his credibility has hit o reached rock bottom
* * *1)a) ( parte más baja) bottomb) (parte de atrás - de pasillo, calle) end; (- de habitación) backestaban al or en el fondo de la sala — they were at the back of the room
c) ( profundidad)d) ( de edificio) depthe) (en cuadro, fotografía) background2)a) (Lit) ( contenido) contentb) (Der)3) (Fin)a) ( de dinero) fundhacer un fondo común — to start a joint fund o (colloq) a kitty
un cheque sin fondos — a dud o (AmE) rubber check (colloq)
estoy mal de fondos — (fam) I'm short of cash (colloq)
c)a fondo perdido — <inversión/préstamo> non-refundable, non-recoverable
4) (Dep) ( en atletismo)de fondo — <corredor/carrera/prueba> long-distance
5) (de biblioteca, museo) collection6) (Méx) (Indum) slip, underskirt7) (en locs)a fondo — (loc adj) <estudio/investigación> in-depth; (loc adv) <prepararse/entrenar> thoroughly
conoce el área/tema a fondo — she knows the area/subject really well
de fondo — <ruido/música> background (before n); <error/discrepancia> fundamental
en el fondo: en el fondo no es malo deep down he's not a bad person; en el fondo nos llevamos bien we get on all right, really; fondo blanco! (AmL fam) bottoms up! (colloq); tener buen fondo to be a good person at heart; tocar fondo to bottom out; su credibilidad ha tocado fondo — his credibility has hit o reached rock bottom
* * *fondo11 = background, backing, quid, crux, fundus.Ex: In the background has often been the need, at a time of declining financial resources, to demonstrate the relevance of the library to all sectors of society and there can sometimes be detected an element of patronization.
Ex: A picture is a two-dimensional visual representation accessible to the naked eye and generally on an opaque backing.Ex: The important moral crux at the heart of the novel 'The debt collector' is that the odds are stacked against the rehabilitation of violent criminals.Ex: The crux of the process is the development of multiple models.Ex: This is an extremely valuable clinical test that provides information about the circulatory system of the ocular fundus (the back of the eye) not attainable by routine examination.* a fondo = fully, thoroughly, full-scale.* al fondo (de) = at the bottom (of).* artículo de fondo = feature article.* corredor de fondo = long-distance runner.* en el fondo = at heart, deep down, in the back of + Posesivo + mind, in the back of + Posesivo + head, at the back of + Posesivo + head, bottom line, the, in the bottom.* en el fondo de = at the root of.* esquiador de fondo = cross-country skier.* esquí de fondo = cross-country skiing.* fondo del mar = sea bottom, seafloor [sea floor], ocean floor, seabed [sea bed].* fondo del océano = ocean bed, ocean floor.* fondo marino = deep-sea floor.* forma de doble fondo = double-faced mould.* forma de un solo fondo = single-faced mould.* forma de un solo fondo para papel verjurado = single-faced laid mould.* limpiar a fondo = spring-clean, clear out.* limpieza a fondo = spring cleaning.* llegar al fondo de la cuestión = see to the + bottom of things.* llegar al fondo de una Cuestión = get to + the bottom of, get to + the root of.* mar de fondo = groundswell.* material de fondo = backing.* movimiento de fondo = groundswell.* negro sobre fondo blanco = black on white.* pez de fondo = groundfish, bottom fish.* pozo sin fondo = bottomless pit.* ruido de fondo = background noise.* servir de telón de fondo = set + the backdrop.* sin fondo = bottomless.* telón de fondo = background, backdrop.* teniendo como telón de fondo = against + background of.* teniendo esto como telón de fondo = against this background.* tocar fondo = bottom out, hit + rock-bottom, reach + rock-bottom, touch + rock bottom, strike + bottom.fondo33 = backlist, stock, collection, stocking.Ex: They not only provide detailed information about new books and those soon to be published, but also continue to list all of their books still in print (frequently called a ' backlist').
Ex: Consider, for example, the work of the shoe shop manager and the way he arranges his stock of shoes.Ex: While there are a profusion of techniques in existence to gain access to the collections, there is no uniform system.Ex: Because of the lack of stocking space, there are many products that we can order for next day pick-up.* colección de fondos electrónicos = e-collection [electronic collection].* colección de fondos locales = local history collection, local collection.* con suficientes fondos = properly stocked.* consultar los fondos = search + holdings.* dotar de fondos a una biblioteca = stock + library.* exceso de fondos = overstock.* expurgo de fondos bibliográficos = collection weeding, stock weeding.* fondo antiguo = antiquarian materials.* fondo bibliográfico = bookstock [book stock].* fondo circulante = circulating collection.* fondo de acceso restringido = reserve collection.* fondo de consulta en sala = reserve reading collection, reserve collection, reserve shelves, special reserve, reserve book room.* fondo de lectura "formativo-recreativa" = browser collection.* fondo de préstamo por horas = short-loan collection.* fondo de recursos electrónicos de acceso restringido = electronic reserve.* fondo de registros bibliográficos = bibliographic pool, bibliographic record pool.* fondo de revistas = periodical holdings.* fondo documental = document collection.* fondo local = local material.* fondos bibliográficos = holdings, stock.* fondos de acceso libre = open stacks.* fondos de acceso restringido = closed access collection, closed stacks, closed access stacks.* fondos de la biblioteca = library's stock, library materials.* fondos de libre acceso = open access stacks.* fondos de material audiovisual = AV holdings.* fondos de publicaciones periódicas = serial holdings.* fondos de revistas = journal holdings.* fondos indioamericanos = American Indian materials.* fondos integrados = integrated stock.* fondos locales = local history material.* fondos patrimoniales = heritage collection.* ingresar en los fondos = accession.* mención de fondos = holdings statement.* provisto de buenos fondos = stockholding.* renovación de fondos = turnover, stock turnover, turnover of stock.* renovar fondos = turn over.* replanteamiento de los fondos = stock revision.* sección de fondos locales = local studies department, local studies library, local studies collection.* sección para el fondo de consulta en sala = reserve room.* selección de fondos = stock selection.* * *A1 (parte más baja) bottomel fondo del mar the bottom of the seael fondo de la cacerola/bolsa the bottom of the saucepan/bages muy profundo, no consigo tocar fondo it's very deep, I can't touch the bottomen el fondo de su corazón deep down (in his heart)tenemos que llegar al fondo de esta cuestión we must get to the bottom of this matterhay un fondo de verdad en esa historia there is an element of truth in that storyhay en él un fondo de maldad there's a streak of maliciousness in him2 (de un pasillo, una calle) end; (de una habitación) backal fondo, a la derecha at the end, on the rightsiga hasta el fondo del pasillo go to the end of the corridoryo vivo justo al fondo de la calle I live right at the end of the streetencontró la carta al fondo del cajón he found the letter at the back of the drawerestaban sentados al or en el fondo de la sala they were sitting at the back of the room3(profundidad): esta piscina tiene poco fondo this pool is not very deep o is quite shallownecesito un cajón con más fondo I need a deeper drawer4 (de un edificio) depthel edificio tiene poca fachada pero mucho fondo the building has a narrow frontage but it goes back a long way5 (en un cuadro, una fotografía) backgroundestampado blanco sobre fondo gris white print on gray backgroundCompuesto:( Inf) wallpaperB1 ( Lit) (contenido) contentel fondo y la forma de una novela the form and content of a novel2 ( Der):una cuestión de fondo a question of lawC ( Fin)1 (de dinero) fundun fondo para las víctimas del siniestro a fund for the disaster victimstenemos un fondo común para estas cosas we have a joint fund o ( colloq) a kitty for these thingsrecaudar fondos to raise moneyreunió los fondos para la operación he raised the funds o money for the operationno dispone de fondos suficientes en la cuenta he does not have sufficient funds o money in his accountme dio un cheque sin fondos the check he gave me bounced, he gave me a dud check, the bank would not honor the check he gave me ( frml)el departamento no dispone de fondos para este fin the department does not have funds o money available for this purposelos fondos están bloqueados the funds have been frozen3a fondo perdido ‹inversión/préstamo› non-refundable, non-recoverablelo que pagas de alquiler es dinero a fondo perdido the money you spend on rent is money wasted o ( colloq) money down the drainCompuestos:sinking fundventure capital fundventure capital fundgoodwill( Fin) fund of fundsdeposit guarantee fundstrike fundinvestment fundReal Estate Investment Trust, REIThedge fundresearch fundpension fundprovident fundslush fundfighting fundtracker fund(UE) Cohesion Fund(UE) European Development Fund(UE) European Regional Development Fund(UE) European Agricultural Guidance and Guarantee FundInternational Monetary Fund, IMF(UE) European Social Fundmpl public funds (pl)mpl secret funds (pl)D ( Dep)1(en atletismo): de fondo ‹corredor/carrera/prueba› long-distance2 (en gimnasia) push-up, press-up ( BrE)E (de una biblioteca, un museo) collectionCompuesto:list (of titles)F (de una alcachofa) heartH ( en locs):( loc adv) ‹prepararse/entrenar› thoroughlyesto necesita una limpieza a fondo this needs a thorough cleanuna reforma a fondo de las instituciones a sweeping reform of the institutionsestudiar a fondo un problema to study a problem in depthlos próximos días deben ser aprovechados a fondo you/we must make full use of the next few days, you/we must use the next few days to the full‹error/discrepancia› fundamental maquillajede cuatro en fondo four abreasten el fondo: en el fondo no es malo deep down he's not a bad persondiscutimos mucho, pero en el fondo nos llevamos bien we quarrel a lot but basically we get on all right o but we get on all right, reallytener buen fondoor no tener mal fondo to be a good person at heart, to have one's heart in the right placetocar fondo: en el mes de abril el precio tocó fondo in April the price bottomed outya hemos tocado fondo y las cosas empiezan a ir mejor we seem to be past the worst now and things are beginning to go bettersu credibilidad ha tocado fondo his credibility has hit o reached rock bottomme voy a tener que volver porque ya estoy tocando fondo I'm going to have to go back because I'm down to my last few dollars ( o pesos etc)I ( Chi) (olla grande) cauldron, large pot* * *
fondo sustantivo masculino
1
llegaré al fondo de esta cuestión I'll get to the bottom of this matter
(— de habitación) back;
c) ( profundidad):
2 (Lit) ( contenido) content
3 (Fin)
◊ hacer un fondo común to start a joint fund o (colloq) a kittyb)
recaudar fondos to raise money;
un cheque sin fondos a dud o (AmE) rubber check (colloq)
4 (Dep) ( en atletismo):
5 (Méx) (Indum) slip, underskirt
6 ( en locs)
‹ limpieza› thorough;
( loc adv) ‹prepararse/entrenar› thoroughly;
de fondo ‹ruido/música› background ( before n);
en el fondo: en el fondo nos llevamos bien we get on all right, really;
en el fondo no es malo deep down he's not a bad person
fondo sustantivo masculino
1 (parte más profunda) bottom
un doble fondo, a false bottom
2 (interior de una persona) en el fondo es muy tierno, deep down he's very gentle
3 (extremo opuesto) (de una habitación) back
(de un pasillo) end
4 (segundo plano) background
música de fondo, background music
mujer sobre fondo rojo, woman on a red background
5 (núcleo, meollo) essence, core
el fondo del asunto, the core of the matter
6 Prensa artículo de fondo, leading article
7 Dep corredor de fondo, long-distance runner
esquí de fondo, cross-country skiing
8 Fin fund: nos dio un cheque sin fondos, he gave us a bad cheque
familiar fondo común, kitty 9 bajos fondos, underworld
10 (conjunto de documentos, libros etc.) batch: los fondos documentales están en el sótano, the batches of documents are in the basement
♦ Locuciones: tocar fondo, Náut to touch bottom
figurado to reach rock bottom
a fondo, thoroughly
a fondo perdido, non-recoverable funds
' fondo' also found in these entries:
Spanish:
esquí
- F.M.I.
- FMI
- FSE
- lecho
- revolverse
- sentar
- telón
- artículo
- barril
- bien
- carrera
- corredor
- crear
- cuestión
- doble
- maquillaje
- mar
English:
back
- backdrop
- background
- bed
- blunder
- board
- bottom
- bottom out
- bottomless
- clean out
- clear out
- cross-country
- dappled
- depth
- end
- extensive
- floor
- fund
- going-over
- groundswell
- heart
- IMF
- inch
- International Monetary Fund
- kitty
- long-distance
- mutual fund
- pool
- scrub down
- seabed
- sink
- spring-clean
- stuff away
- thoroughly
- thrash out
- underneath
- unit trust
- abreast
- clean
- closely
- deep
- deeply
- disaster
- float
- full
- further
- good
- heavy
- in-depth
- international
* * *fondo nm1. [parte inferior] bottom;el fondo del mar the bottom of the sea;fondos [de embarcación] bottom;dar fondo [embarcación] to drop anchor;echar a fondo [embarcación] to sink;irse a fondo [embarcación] to sink, to founder;sin fondo bottomless;RP Fam¡fondo blanco! bottoms up!;tocar fondo [embarcación] to hit the bottom (of the sea/river);[crisis] to bottom out;su popularidad ha tocado fondo their popularity has reached an all-time low o rock bottom;mi paciencia ha tocado fondo my patience has reached its limit2. [de habitación, escenario] back;al fondo de [calle, pasillo] at the end of;[sala] at the back of;el fondo de la pista the back of the court;los baños están al fondo del pasillo, a la derecha the toilets are at the end of the corridor, on the right3. [dimensión] depth;un río de poco fondo a shallow river;tener un metro de fondo to be one metre deep4. [de cuadro, foto, tela] background;quiero una tela de flores sobre fondo negro I'd like some material with a pattern of flowers on a black background;al fondo in the background5. [de alcachofa] heart6. [de asunto, problema] heart, bottom;el problema de fondo the underlying problem;la cuestión de fondo the fundamental issue;llegar al fondo de to get to the heart o bottom of;el gobierno quiere llegar al fondo de la cuestión the government wants to get to the bottom of the matter;en el fondo [en lo más íntimo] deep down;[en lo esencial] basically;en el fondo está enamorada de él deep down, she loves him;en el fondo, no es mala persona deep down, she's not a bad person;en el fondo tus problemas son los mismos basically, you have the same problems8. [de obra literaria] substance9. [de dinero] fund;a fondo perdido [préstamo] non-returnable;no estamos dispuestos a invertir a fondo perdido we're not prepared to pour money down the drain;fondos [capital] funds;nos hemos quedado sin fondos our funds have run out;un cheque sin fondos a bad cheque;estar mal de fondos [persona] to be badly off;[empresa] to be short of funds;recaudar fondos to raise fundsEcon fondo de amortización sinking fund;fondos bloqueados frozen funds;fondo de cohesión cohesion fund;Fin fondo de comercio goodwill;fondo de compensación interterritorial interterritorial compensation fund;fondo común kitty;poner un fondo (común) to set up a kitty;Fin fondo de crédito permanente evergreen fund;fondo de emergencia contingency fund;UE fondos estructurales structural funds; Fin fondo ético ethical fund; UE Fondo Europeo de Desarrollo European Development Fund; UE Fondo Europeo de Desarrollo Regional European Regional Development Fund;fondo de fideicomiso trust fund;Fin fondo de garantía de depósitos deposit guarantee fund; Fin fondo de inversión investment fund; Fin fondo de inversión ético ethical investment fund;fondo de inversión inmobiliaria real estate investment fund;Fondo Monetario Internacional International Monetary Fund;Fondo Mundial para la Naturaleza World Wildlife Fund;Econ fondo de pensiones pension fund;fondos públicos public funds;Fin fondo de renta fija non-equity fund, bond fund; Fin fondo de renta variable equity fund;fondos reservados = contingency funds available to ministries, for which they do not have to account publicly;Fin fondo rotativo revolving fund; UE Fondo Social Europeo European Social Fund;fondo vitalicio life annuity10. [fundamento] reason, basis;sus acciones tienen siempre un fondo humanitario everything she does is for humanitarian reasons11.hacer algo a fondo [en profundidad] to do sth thoroughly;hicimos una lectura a fondo we read it through carefully;hacer una limpieza a fondo to have a thorough clean;el juez ha ordenado una investigación a fondo the judge has ordered a full enquiry o an in-depth investigation;emplearse a fondo to do one's utmost12. [de biblioteca, archivo] catalogue, collectionfondo editorial backlistmedio fondo middle-distance running;carrera de fondo long-distance race;esquí de fondo cross-country skiing;de medio fondo middle-distancefondo en carretera [ciclismo] road racing16. Carib, Méx [prenda] petticoat18. RP [patio] back patio* * *m1 bottom;doble fondo false bottom;fondo marino seabed;tocar fondo fig reach bottom;los bajos fondos the underworld sg2 ( profundidad) depth;hacer una limpieza a fondo de algo give sth a thorough clean, clean sth thoroughly;emplearse a fondo fig give one’s all;ir al fondo de algo look at sth in depth;en el fondo deep down4 PINT, FOT background;música de fondo background music6 COM fund;fondos pl money sg, funds;a fondo perdido non-refundable;sin fondos cheque dud7 DEP:de medio fondo middle distance atr8 ( disposición):tiene buen fondo he’s got a good heart* * *fondo nm1) : bottom2) : rear, back, end3) : depth4) : background5) : sea bed6) : fundfondo de inversiones: investment fund8) fondos nmpl: funds, resourcescheque sin fondos: bounced check9)a fondo : thoroughly, in depthen fondo : abreast* * *fondo n1. (en general) bottom2. (de calle, pasillo) end3. (de habitación) back4. (segundo término) background -
16 tierra2
2 = land, ground, soil, earth, dry land [dryland].Ex. Until recently all libraries and some architects have maintained that an academic library should be capable of extension and that land should be reserved for future expansion.Ex. A profile is a scale representation of the intersection of a vertical surface with the surface of the ground.Ex. This article diagnoses the information needs of those who work in the area of pollution of air, soil and earth.Ex. Insulation techniques helpful to energy conservation are: more use of below surface areas; the mounding of earth against outside walls; sod roofs; and the correct use of glass.Ex. This article describes a knowledge based geographic information system for the broad scale mapping of dryland salinity in the Western Australian wheatbelt.----* aprovechamiento de la tierra = land use.* asentamiento en tierras federales = homesteading.* bajo tierra = underground, below surface.* buena tierra = good soil.* camino de tierra = dirt track, dirt road.* como si se + Pronombre + hubiera tragado la tierra = into thin air.* con el suelo de tierra = dirt-floored.* confinado a la tierra = land-bound [landbound].* con los pies sobre la tierra = down-to-earth.* contaminación de la tierra = soil pollution.* corrimiento de tierra = landslide.* cultivar la tierra = farm + land, grow + crops.* dejar la tierra en barbecho = let + farmland lie fallow.* desaprovechamiento de la tierra = land misuse.* desprendimiento de tierra = landslide.* de tierra = onshore, earthen.* echar Algo por tierra = blow + Nombre + out of the water.* echarlo todo por tierra = upset + the applecart.* echar por tierra = scupper, blight, cast + a blight on.* echar por tierra las ilusiones = shatter + Posesivo + hopes.* echar por tierra los planes de Alguien = spike + Posesivo + guns.* echar por tierra una idea = crush + idea.* ejército de tierra, el = army, the [armies, pl.].* en la tierra = on the ground.* en la tierra de = in the land of.* en tierra = onshore, ashore.* en tierra firme = on dry land.* en tierras lejanas = outranged.* fertilidad de la tierra = soil fertility.* gestión de tierras = land management.* gran extensión de tierra dedicada a la cría de animales de pas = rangeland.* mala tierra = poor soil.* movimiento de tierra = earthwork.* nadie es profeta en su tierra = no man is a prophet in his own land.* pequeño propietario de tierras = yeoman farmer.* pies sobre la tierra = feet on the ground.* pista de tierra batida = clay tennis court.* poner los pies sobre la tierra = come down + to earth.* por encima de la tierra = aboveground.* rodeado de tierra = land-bound [landbound], land-locked [landlocked].* sin tierras, sin propiedad rural = landless.* sobre la tierra = on the ground.* temblor de tierra = quake, earth tremor.* tenis sobre tierra batida = clay tennis, clay court tennis.* ¡Tierra a la vista! = Land ahoy!, Land ho!.* tierra arenosa = sandy soil.* tierra baldía = wasteland, moor, barren land.* tierra buena = good soil.* tierra cenagosa = loamy soil.* tierra cultivable = arable land.* tierra de cultivo = soil, farmland [farm land].* Tierra de Israel, la = Land of Israel, the.* tierra de labranza = farmland [farm land].* tierra de nadie = twilight zone, wilderness, no-man's land.* tierra de pastoreo = pasture land.* tierra de pastos = pasture land.* tierra desconocida = terra incognita.* tierra en barbecho = fallow land.* tierra fértil = sod, loam.* tierra firme = dry land [dryland], land mass [landmass], firm ground, solid ground.* tierra lejana = far off land.* tierra mala = poor soil.* tierra margosa = loamy soil.* tierra natal = homeland.* tierra prometida, la = land of cream and honey, the, promised land, the, land of milk and honey, the.* tierras = landed estate.* tierras altas = highland.* tierras altas escocesas = Highland.* tierra salvaje = wilderness.* Tierra Santa = Holy Land, the.* tierras bajas = lowlands.* tierras celtas, las = Celtic fringe, the.* tierras del sur = southland.* tierras mejores = greener pastures.* tierras movedizas = shifting sands.* tierras perdidas = lost lands.* tierra virgen = uncharted territory, uncharted waters, unchartered territory, unchartered waters.* toma de tierra = earthing.* transporte por tierra = land transport.* tropa de tierra = ground troop.* uso de la tierra = land use.* vasallo propietario de sus tierras = yeoman [yeomen, -pl.].* vehículo de tierra a motor = motor land vehicle.* vivir de la tierra = live off + the land. -
17 tierra
f.1 land (terrenos, continentes).en tierras mexicanas/del rey on Mexican soil/the King's landpor estas tierras round these parts, down this waytierra adentro inlandtierra de nadie no-man's-landtierra prometida Promised Landtierra del Fuego Tierra del Fuegotierra Santa the Holy Landtierra virgen virgin land2 land.cultivar la tierra to farm the land3 earth.se me ha metido tierra en los zapatos I've got some earth in my shoesun camino de tierra a dirt track4 ground (suelo).bajo tierra undergroundcaer a tierra to fall to the groundtomar tierra to land5 homeland, native land (lugar de origen) (país).vino/queso de la tierra local wine/cheesetierra natal homeland, native land6 dust. ( Latin American Spanish)7 soil, dirt.8 country, homeland.9 plot of land, territory, estate, soil.* * *1 (planeta) earth2 (superficie sólida) land3 (terreno cultivado) soil, land4 (país) country, land5 (suelo) ground6 ELECTRICIDAD earth, US ground1 land sing\caer por tierra figurado to crumbledar en tierra con algo to drop something on the ground, throw something on the groundechar a tierra to demolishechar por tierra figurado to crush, destroyechar tierra encima de figurado to hush upponer tierra por medio figurado to make oneself scarcepor estas tierras in these partspor tierra overland, by land¡tierra a la vista! land ahoy!tierra adentro inland¡tierra trágame! figurado I wish I was somewhere else, I could curl up and dietirar por tierra figurado to crush, destroyvivir de la tierra to make a living from the landtierra de nadie no-man's-landTierra del Fuego Tierra del Fuegotierra firme terra firma, dry landtierra natal homelandTierra Santa the Holy Land* * *noun f.1) earth2) land3) soil4) homeland•* * *SF1)• la Tierra — the earth, the Earth
2) (=superficie)a) [fuera del agua] land¡tierra a la vista! — land ahoy!
la industria pesquera genera unos 400.000 empleos en tierra — the fishing industry provides 400,000 jobs on land
•
por tierra — overland, by landatravesar un país por tierra — to go overland o by land across a country
•
tomar tierra — to reach port, get inb) (=no aire) [desde el aire] ground; [desde el espacio] earthla explosión ocurrió cuando el avión cayó a tierra — the explosion occurred when the aeroplane hit the ground
•
tocar tierra — to touch down•
tomar tierra — to landtierra firme — (=no aire) solid ground; (=no agua) land
3) (=suelo) ground•
caer a tierra — to fall down•
dar con algo en tierra — to knock sth over•
echarse a tierra — to throw o.s. on o to the ground- venirse a o por tierra4) (=material) [gen] earth; (=polvo) dust; (=barro) mud; [para jardinería, cultivo] soilcon los zapatos llenos de tierra — (=polvo) with his shoes covered in dust; (=barro) with his shoes covered in mud
viviendas con suelo de tierra — houses with earth o dirt floors
acordaron echar tierra al incidente y seguir siendo amigos — they agreed to put the incident behind them and continue to be friends
le vienes a echar tierra a mi carro con tu descapotable — your convertible makes my car look ridiculous o really bad
tierra caliente — LAm land below 1000m approximately
tierra fría — LAm land above 2000m approximately
tierra quemada — (Pol) scorched earth
pista 3), política 2)tierra templada — LAm land between 1000m and 2000m approximately
5) (Agr) landtierra de secano — dry land, unirrigated land
6) (=división territorial)a) (=lugar de origen)todo refugiado siente nostalgia de su tierra — every refugee feels homesick for or misses his native land o homeland
b) [en plural]sus viajes por tierras de Castilla, su largo exilio en tierras australianas — her lengthy exile in Australia
no es de estas tierras — he's not from these parts, he's not from this part of the world
- ver tierras7) (Elec) earth, ground (EEUU)toma 1., 1)conectar un aparato a tierra — to earth o (EEUU) ground an appliance
* * *1) (campo, terreno) landtierras fértiles/áridas — fertile/arid land
tierra labrantía or de cultivo — arable o cultivated land
poner tierra de por medio — to make oneself scarce (colloq)
2) (suelo, superficie) ground; (materia, arena) earthun camino de tierra — a dirt road o track
cuerpo a tierra! — hit the ground! (colloq)
echar algo por tierra — <edificio/monumento> to pull o knock down; < planes> to wreck, ruin; < argumentos> to demolish, destroy; < esperanzas> to dash
echarle tierra a algo/alguien — (Col fam) to put something/somebody to shame, make something/somebody look bad
echar tierra a or sobre algo — ( ocultarlo) to cover o hush something up; ( olvidarlo) to forget about something
tragarse la tierra a alguien: como si se lo hubiera tragado la tierra as if he'd vanished off the face of the earth; deseé que me tragara la tierra — I just wanted the earth to open and swallow me up
3) (AmL) ( polvo) dust4) (Elec) ground (AmE), earth (BrE)estar conectado a tierra or (AmL) hacer tierra — to be grounded o earthed
5) (por oposición al mar, al aire) landtierra a la vista! — land ho o ahoy!
viajar por tierra — to travel overland o by land
tocar tierra — to land, put into port
tomar tierra — to land, touch down
6)a) (país, lugar)decidió volver a su tierra — he decided to return to his homeland o to his native land
costumbres de aquellas tierras — customs in those places o countries
b) ( territorio) soil* * *1) (campo, terreno) landtierras fértiles/áridas — fertile/arid land
tierra labrantía or de cultivo — arable o cultivated land
poner tierra de por medio — to make oneself scarce (colloq)
2) (suelo, superficie) ground; (materia, arena) earthun camino de tierra — a dirt road o track
cuerpo a tierra! — hit the ground! (colloq)
echar algo por tierra — <edificio/monumento> to pull o knock down; < planes> to wreck, ruin; < argumentos> to demolish, destroy; < esperanzas> to dash
echarle tierra a algo/alguien — (Col fam) to put something/somebody to shame, make something/somebody look bad
echar tierra a or sobre algo — ( ocultarlo) to cover o hush something up; ( olvidarlo) to forget about something
tragarse la tierra a alguien: como si se lo hubiera tragado la tierra as if he'd vanished off the face of the earth; deseé que me tragara la tierra — I just wanted the earth to open and swallow me up
3) (AmL) ( polvo) dust4) (Elec) ground (AmE), earth (BrE)estar conectado a tierra or (AmL) hacer tierra — to be grounded o earthed
5) (por oposición al mar, al aire) landtierra a la vista! — land ho o ahoy!
viajar por tierra — to travel overland o by land
tocar tierra — to land, put into port
tomar tierra — to land, touch down
6)a) (país, lugar)decidió volver a su tierra — he decided to return to his homeland o to his native land
costumbres de aquellas tierras — customs in those places o countries
b) ( territorio) soil* * *tierra22 = land, ground, soil, earth, dry land [dryland].Ex: Until recently all libraries and some architects have maintained that an academic library should be capable of extension and that land should be reserved for future expansion.
Ex: A profile is a scale representation of the intersection of a vertical surface with the surface of the ground.Ex: This article diagnoses the information needs of those who work in the area of pollution of air, soil and earth.Ex: Insulation techniques helpful to energy conservation are: more use of below surface areas; the mounding of earth against outside walls; sod roofs; and the correct use of glass.Ex: This article describes a knowledge based geographic information system for the broad scale mapping of dryland salinity in the Western Australian wheatbelt.* aprovechamiento de la tierra = land use.* asentamiento en tierras federales = homesteading.* bajo tierra = underground, below surface.* buena tierra = good soil.* camino de tierra = dirt track, dirt road.* como si se + Pronombre + hubiera tragado la tierra = into thin air.* con el suelo de tierra = dirt-floored.* confinado a la tierra = land-bound [landbound].* con los pies sobre la tierra = down-to-earth.* contaminación de la tierra = soil pollution.* corrimiento de tierra = landslide.* cultivar la tierra = farm + land, grow + crops.* dejar la tierra en barbecho = let + farmland lie fallow.* desaprovechamiento de la tierra = land misuse.* desprendimiento de tierra = landslide.* de tierra = onshore, earthen.* echar Algo por tierra = blow + Nombre + out of the water.* echarlo todo por tierra = upset + the applecart.* echar por tierra = scupper, blight, cast + a blight on.* echar por tierra las ilusiones = shatter + Posesivo + hopes.* echar por tierra los planes de Alguien = spike + Posesivo + guns.* echar por tierra una idea = crush + idea.* ejército de tierra, el = army, the [armies, pl.].* en la tierra = on the ground.* en la tierra de = in the land of.* en tierra = onshore, ashore.* en tierra firme = on dry land.* en tierras lejanas = outranged.* fertilidad de la tierra = soil fertility.* gestión de tierras = land management.* gran extensión de tierra dedicada a la cría de animales de pas = rangeland.* mala tierra = poor soil.* movimiento de tierra = earthwork.* nadie es profeta en su tierra = no man is a prophet in his own land.* pequeño propietario de tierras = yeoman farmer.* pies sobre la tierra = feet on the ground.* pista de tierra batida = clay tennis court.* poner los pies sobre la tierra = come down + to earth.* por encima de la tierra = aboveground.* rodeado de tierra = land-bound [landbound], land-locked [landlocked].* sin tierras, sin propiedad rural = landless.* sobre la tierra = on the ground.* temblor de tierra = quake, earth tremor.* tenis sobre tierra batida = clay tennis, clay court tennis.* ¡Tierra a la vista! = Land ahoy!, Land ho!.* tierra arenosa = sandy soil.* tierra baldía = wasteland, moor, barren land.* tierra buena = good soil.* tierra cenagosa = loamy soil.* tierra cultivable = arable land.* tierra de cultivo = soil, farmland [farm land].* Tierra de Israel, la = Land of Israel, the.* tierra de labranza = farmland [farm land].* tierra de nadie = twilight zone, wilderness, no-man's land.* tierra de pastoreo = pasture land.* tierra de pastos = pasture land.* tierra desconocida = terra incognita.* tierra en barbecho = fallow land.* tierra fértil = sod, loam.* tierra firme = dry land [dryland], land mass [landmass], firm ground, solid ground.* tierra lejana = far off land.* tierra mala = poor soil.* tierra margosa = loamy soil.* tierra natal = homeland.* tierra prometida, la = land of cream and honey, the, promised land, the, land of milk and honey, the.* tierras = landed estate.* tierras altas = highland.* tierras altas escocesas = Highland.* tierra salvaje = wilderness.* Tierra Santa = Holy Land, the.* tierras bajas = lowlands.* tierras celtas, las = Celtic fringe, the.* tierras del sur = southland.* tierras mejores = greener pastures.* tierras movedizas = shifting sands.* tierras perdidas = lost lands.* tierra virgen = uncharted territory, uncharted waters, unchartered territory, unchartered waters.* toma de tierra = earthing.* transporte por tierra = land transport.* tropa de tierra = ground troop.* uso de la tierra = land use.* vasallo propietario de sus tierras = yeoman [yeomen, -pl.].* vehículo de tierra a motor = motor land vehicle.* vivir de la tierra = live off + the land.* * *A (campo, terreno) landuna distribución más justa de la tierra a fairer distribution of landtierras comunales common landcompró unas tierras en Durango he bought some land in Durangotierras fértiles/áridas fertile/arid landtierra labrantía or de cultivo or de labranza or de labor or de labrantío arable o cultivated landtierras baldías wastelandlos que trabajan la tierra those who work the landponer tierra de por medio to make oneself scarce, get out quick ( colloq)B1 (suelo, superficie) ground; (materia, arena) earthclavó la estaca en la tierra he drove the stake into the groundésta es muy buena tierra this is very good land o soilcavaba la tierra he was digging the groundun camión de tierra a truckload of soil o earthno juegues con la tierra, que te vas a manchar don't play in the dirt, you'll get filthyun camino de tierra a dirt road o track¡cuerpo a tierra! get down!, hit the ground! ( colloq)ya lleva un año bajo tierra she's been dead and buried for a year nowechar algo por tierra ‹edificio/monumento› to demolish, pull o knock down;‹planes› to wreck, ruin, put paid to; ‹argumentos› to demolish, destroy; ‹esperanzas› to dashecharse tierra encima to do oneself down, cry stinking fish ( BrE)echar tierra a or sobre algo (ocultarlo) to cover o hush sth up; (olvidarlo) to forget about sth, put sth behind onetragarse la tierra a algn: parecía que se lo hubiera tragado la tierra it was as if he'd vanished off the face of the earthen aquel momento deseé que me tragara la tierra at that moment I just wanted the earth o the ground to open and swallow me upCompuesto:( Esp) clayel cable que va a tierra the ground o earth leadnecesita una conexión a tierra or debe estar conectado a tierra or ( AmL) debe hacer tierra it needs to be connected to ground o earth, it needs to be grounded o earthedD (por oposición al mar, al aire) land¡tierra a la vista! land ho! o land ahoy!viajar por tierra to travel overland o by landiniciaron las expediciones tierra adentro they started expeditions into the interiorgentes de tierra adentro people from the interior, people from inlandmisiles aire-tierra air-to-ground missilesel ejército de tierra the armytierra firme solid ground, terra firmaquedarse en tierra to be left behind, miss one's train ( o boat etc)tocar tierra to land, put into porttomar tierra to land, touch downE1(país, región, lugar): después de tantos años de exilio decidió volver a su tierra after all those years in exile he decided to return to his homeland o to his native landlas cosas que pasan por aquellas tierras the things that happen in those places o countriespartió a tierras lejanas para buscar fortuna he set out for foreign parts o for distant lands to seek his fortunevino de la tierra local wine, locally produced winefruta de la tierra locally grown fruit2 (territorio) soilen el instante que pisó tierra francesa the moment he set foot on French soilCompuestos:: from Mexico to Peru, land below approx. 1,200mTierra del Fuegono-man's-landthe cold lands (pl), (from Mexico to Peru, land above approx. 2,200m)native land, land of one's birthPromised LandHoly Landthe temperate lands (pl) (from Mexico to Peru, land between approx. 1,200m and 2,200m)Fla composición de la atmósfera de la Tierra the composition of the Earth's atmosphere¿cúal es el planeta más cercano a la Tierra? what is the closest planet to (the) Earth?para proteger la vida en la Tierra to protect life on earthCreador del Cielo y de la Tierra Creator of Heaven and Earth* * *
tierra sustantivo femenino
1 (campo, terreno) land;
tierra de cultivo arable land
2 (suelo, superficie) ground;
(materia, arena) earth;
un camión de tierra a truckload of soil o earth;
no juegues con tierra don't play in the dirt;
un camino de tierra a dirt road o track;
echar algo por tierra ‹ planes› to wreck, ruin;
‹ argumentos› to demolish, destroy;
‹ esperanzas› to dash
3 (AmL) ( polvo) dust
4 (Elec) ground (AmE), earth (BrE);
estar conectado a tierra or (AmL) hacer tierra to be grounded o earthed
5 (por oposición al mar, al aire) land;◊ viajar por tierra to travel overland o by land;
tierra firme solid ground;
tomar tierra to land, touch down
6 (país, lugar):
costumbres de aquellas tierras customs in those places o countries;
la Ttierra Santa the Holy Land
7 ( planeta)
tierra sustantivo femenino
1 (planeta) la Tierra, (the) Earth o earth
2 (medio terrestre, terreno) land
viajar por tierra, to travel by land
tierra adentro, inland
tierra de nadie, no-man's-land
(un avión) tomar tierra, to land
Agr land
tiene tierras de cultivo, he has cultivated land
tierra baldía, wasteland
3 (país, lugar de origen) homeland
(territorio) nació en tierra inglesa, she was born on English soil
4 (superficie terrestre, suelo) ground
bajo tierra, below ground
(materia) soil, earth
un puñado de tierra, a handful of earth o soil
un camino de tierra, a dirt track
5 Elec earth
toma de tierra, earth wire, US ground
♦ Locuciones: echar por tierra, to ruin, spoil
echar tierra sobre, to hush up
familiar de la tierra, (producto del país) son tomates de la tierra, they are home-grown tomatoes
familiar (alejarse, escapar) poner alguien tierra por medio, to get as far away as possible
familiar (para expresar vergüenza) ¡tierra trágame! I wish the earth would swallow me up
(perder un medio de transporte) quedarse alguien en tierra, to miss a plane/train or any other form of transport
' tierra' also found in these entries:
Spanish:
adentro
- baja
- bajo
- barro
- batida
- batido
- campo
- construcción
- criar
- desaparecer
- entrañas
- escarbar
- esquilmar
- explotar
- franja
- fructífera
- fructífero
- global
- globo
- gua
- horizonte
- hoyo
- hundimiento
- langosta
- palada
- parcela
- perforar
- pista
- polvo
- ras
- redondez
- remover
- ribera
- rica
- rico
- seísmo
- sementera
- señorío
- soñar
- suelo
- surco
- temblar
- terráquea
- terráqueo
- terrena
- terreno
- terrestre
- terrón
- terruño
- tocar
English:
adjacent
- adjoining
- allotment
- ashore
- clump
- crack
- crumble
- crunch
- cultivated
- cultivation
- demolish
- dig
- dirt road
- earth
- earthworm
- earthy
- encroach
- explode
- face
- fairyland
- fall
- farming
- feel
- ground
- hedgehog
- Holy Land
- homeland
- inland
- land
- level
- lump
- no man's land
- orbit
- overland
- parched
- portage
- pull apart
- quake
- reclaim
- rich
- richness
- rig
- rock
- roll
- rough
- sandy
- seed
- set down
- shatter
- shock
* * *tierra nf2. [superficie] land;viajar por tierra to travel by land;tierra adentro inland;poner tierra (de) por medio to make oneself scarceAm tierra caliente = in Latin America, climate zone up to an altitude of approximately 1,000 metres;tierra firme [por oposición al mar] land, dry land;[terreno sólido] hard ground; Am tierra fría = in Latin America, climate zone above the altitude of approximately 2,000 metres;Tierra del Fuego Tierra del Fuego;tierra de nadie no-man's-land;tierra prometida Promised Land;Tierra de Promisión Promised Land;Tierra Santa the Holy Land;la tierra del Sol Naciente the land of the Rising Sun;Am tierra templada = in Latin America, climate zone between the altitudes of approximately 1,000 and 2,000 metres;tierra virgen virgin land3. [suelo] ground;trabajan bajo tierra they work underground;caer a tierra to fall to the ground;muchos aviones se han quedado en tierra por la niebla many planes have been grounded because of the fog;tocar tierra [avión] to touch down;tomar tierra: tomó tierra en un campo he landed in a field;tomaremos tierra en el aeropuerto de Barajas en diez minutos we will be landing at Barajas airport in ten minutes;besar la tierra to fall flat on one's face;[argumentos, teoría] to demolish sth; Fam¡tierra, trágame!, ¡trágame tierra! I wish the earth would swallow me up!;era como si se lo hubiera tragado la tierra he had vanished without a trace;4. [materia] earth;[para nutrir plantas] soil;se me ha metido tierra en los zapatos I've got some earth o dirt in my shoes;esta tierra no es buena para cultivar this soil isn't good for growing things;un camino de tierra a dirt track;política de tierra quemada scorched earth policy;Formaldar tierra a alguien to bury sb;tierra batida [en tenis] clay;tierra vegetal topsoil, loam5. [en agricultura] land;cultivar la tierra to farm the landtierra cultivable arable land;tierra de cultivo arable land;tierra de labor arable land;tierra de labranza arable land6. [lugar de origen] [país] homeland, native land;[región] home o native region;este chico es de mi tierra this lad is from where I come from;vino/queso de la tierra local wine/cheesetierra natal homeland, native landen tierras del rey on the King's land;en tierras mexicanas on Mexican soil;por estas tierras round these parts, down this way;ver otras tierras to travel, to see the worldestar conectado a tierra, tener toma de tierra to be Br earthed o US grounded10. Am [polvo] dust* * *f1 land;tierra de labor, tierra cultivable arable land, farmland;tierras altas highlands;tierras bajas lowlands;poner tierra de por medio flee, make o.s. scarce fam ;por tierra viajar by land;tomar tierra AVIA land2 materia soil, earth;echar tierra a algo fig hush sth up;echar por tierra ruin, wreck;como si se lo hubiera tragado la tierra as if he had vanished off the face of the earth3 ( patria) native land, homeland;de la tierra locally produced, local4 EL ground, Brearth5:la Tierra the Earth* * *tierra nf1) : land2) suelo: ground, earth3) : country, homeland, soil4)tierra natal : native land5)la Tierra : the Earth* * *tierra n1. (terreno) land2. (materia) earth / soil3. (suelo) groundechar por tierra to ruin / to spoil
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