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This is an intricate process which

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    This subfraction binds to the tissue DNA (биол.).

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    These stars are bound by mutual attraction.

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    The camera range finder is coupled with the focusing mechanism.

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    The enamel coating is bonded to metal by fusion.

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    This phenomenon is associated (or connected) with (or is due to) magnetic storms.

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    Control is directly related to the steam generation rate through the temperature coefficient.

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    This is an intricate process which entails the consideration of approximating sums.

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    The acceptance or rejection of the food depends upon its taste, which is usually related to its nutritive or harmful qualities.

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    The rate of bleaching must be connected (or correlated) with the formation and decomposition of HOCI.

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    All these tests involve the breaking of a test piece.

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    Doubtlessly this constancy is correlated to the active role played by...

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    The momentum carried by a photon is related to the photon's energy by the equation...

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    The collision theory is tied to the kinetic-molecular theory.

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    The production and use of ionic compounds are inevitably linked to (or with) the deterioration of the environment.

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    Another uncertainty stems from the difficulty of...

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    One difficulty concerns the use of hydrogen cyanide as a condensing agent.

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  • 2 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, Eventually
       Just 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)
       Many 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 Form
       The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. 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 Formation
       It 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 Contexts
       Even 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)
        18) The Assumption That the Mind Is a Formal System
       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 Intelligence
       The 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 Propositions
       In 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

  • 3 Language

       Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)
       It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)
       It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)
       Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)
       It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)
       [A list of language games, not meant to be exhaustive:]
       Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling it
       Solving a problem in practical arithmeticTranslating from one language into another
       LANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)
       We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)
       We dissect nature along the lines laid down by our native languages.
       The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)
       9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own Language
       The forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)
       It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)
       In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)
       In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)
       [It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)
       he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.
       The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)
       The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.
       But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)
       The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)
        t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)
       A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)
       Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)
       It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)
       First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....
       Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)
       If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)
        23) Language Is Inevitably Influenced by Specific Contexts of Human Interaction
       Language cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)
       By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)
       Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)

    Historical dictionary of quotations in cognitive science > Language

  • 4 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

  • 5 trabajo

    m.
    1 work.
    una casa tan grande da mucho trabajo a big house like that is a lot of work
    hacer un buen trabajo to do a good job
    trabajo de campo field work
    trabajo en o de equipo teamwork
    trabajo físico physical effort
    trabajo intelectual mental effort
    trabajo manual manual labor
    trabajos forzados o forzosos hard labor
    trabajo de oficina office work
    trabajo social social work
    trabajo sucio dirty work
    trabajo temporal temporary work
    2 job (empleo).
    buscar/encontrar trabajo to look for/find work o a job
    no tener trabajo to be out of work
    3 work (place).
    en el trabajo at work
    ir al trabajo to go to work
    5 labor (economics & politics).
    6 effort (esfuerzo).
    costar mucho trabajo to take a lot of effort
    tomarse el trabajo de hacer algo to go to o take the trouble of doing something
    7 work place, job, workplace.
    pres.indicat.
    1st person singular (yo) present indicative of spanish verb: trabajar.
    * * *
    2 (tarea) task, job
    3 (empleo) job, employment
    4 (esfuerzo) effort
    5 EDUCACIÓN report, paper
    \
    ahorrarse el trabajo to save oneself the trouble
    con gran trabajo / con mucho trabajo with great effort
    cuesta trabajo... it's hard to...
    estar sin trabajo to be out of work
    ir al trabajo to go to work
    tomarse el trabajo de to take the trouble to
    trabajo de chinos familiar very intricate work, time-consuming work
    trabajo eventual casual labour (US labor)
    trabajo por turno / trabajo por turnos shiftwork
    trabajos forzados / trabajos forzosos hard labour (US labor) sing
    trabajos manuales arts and crafts, handicrafts
    * * *
    noun m.
    1) work, job
    * * *
    SM
    1) (=labor) work

    ¡buen trabajo! — good work!

    • el trabajo de la casa — the housework

    • ropa de trabajo — work clothes

    • estar sin trabajo — to be unemployed

    quedarse sin trabajo — to find o.s. out of work, lose one's job

    trabajo de campo, trabajo en el terreno — fieldwork

    trabajo manual — manual labour, manual labor (EEUU)

    trabajos forzados — hard labour sing, hard labor (EEUU) sing

    trabajos manuales — (Escol) handicrafts

    2) (tb: puesto de trabajo) job
    3) (tb: lugar de trabajo) work
    4) (=esfuerzo)

    • ahorrarse el trabajo — to save o.s. the trouble

    • costar trabajo, le cuesta trabajo hacerlo — he finds it hard to do

    • dar trabajo, reparar la casa nos ha dado mucho trabajo — it was hard work o a real job repairing the house

    • tomarse el trabajo de hacer algo — to take the trouble to do sth

    5) (=obra) (Arte, Literat) work; (Educ) essay; [de investigación] study
    6) (Econ)
    a) (=mano de obra) labour, labor (EEUU)
    b) (tb: Ministerio de Trabajo) ≈ Department of Employment, ≈ Department of Labor (EEUU)
    * * *
    1)
    a) ( empleo) job

    conseguir trabajo — to get o find work, to get o find a job

    un trabajo de media jornada or (AmL) de medio tiempo or (Esp) a tiempo parcial — a part-time job

    trabajo de jornada completa or de or a tiempo completo — full-time work o job

    b) ( lugar) work
    2) (actividad, labor) work
    3)
    a) ( tarea) job
    b) ( obra escrita) piece of work
    4) ( esfuerzo)

    se tomó/dio el trabajo de venir — she took the trouble to come

    5) (Econ) labor*
    * * *
    1)
    a) ( empleo) job

    conseguir trabajo — to get o find work, to get o find a job

    un trabajo de media jornada or (AmL) de medio tiempo or (Esp) a tiempo parcial — a part-time job

    trabajo de jornada completa or de or a tiempo completo — full-time work o job

    b) ( lugar) work
    2) (actividad, labor) work
    3)
    a) ( tarea) job
    b) ( obra escrita) piece of work
    4) ( esfuerzo)

    se tomó/dio el trabajo de venir — she took the trouble to come

    5) (Econ) labor*
    * * *
    trabajo1
    1 = employment, endeavour [endeavor, -USA], job, labour [labor, -USA], leg work, occupation, task, work, working environment, workload [work load], pursuit, workmanship, footwork, handwork, professional position, working practice, pursuit in life, handiwork, lifework, line of business, toil, industry.

    Ex: Under WOMEN -- EMPLOYMENT, for instance, are listed works on the health and safety hazards of employment, the wages of employment, the problems of mothers, married and/or single women and employment, and so on.

    Ex: Eventually, it came to be recognized that the Classification Research Group's endeavours might be pertinent to the problem of alphabetical indexing.
    Ex: To ease the cataloguer's job and save him the trouble of counting characters, DOBIS/LIBIS uses a special function.
    Ex: An editor is a person who prepares for publication an item not his own and whose labour may be limited to the preparation of the item for the manufacturer.
    Ex: DOBIS/LIBIS may replace the typewriter, the catalog card, and much leg work, but it cannot replace the decision-making capabilities of the library staff.
    Ex: Headings such as SALESMEN AND SALESMANSHIP and FIREMEN, since they are assigned to works covering the activities of both men and women in these occupations, are not specific.
    Ex: Further, menu screens will be necessary until the user has specified the task that he wishes executed or the information that he wishes to retrieve sufficiently for execution or retrieval to be effected.
    Ex: The Classification Research Group (CRG) has been a major force in the development of classification theory, and has made a major contribution towards work on a new general classification scheme.
    Ex: This article examines the various features now available on copiers and comments on the usefulness in a working environment.
    Ex: Each of these changes, if we were to deal with them in an adequate manner, create severe workload problems for the cataloging department.
    Ex: What is more arguable is whether or not it is a bibliographical pursuit at all since it bears little relationship to the physical nature of the book.
    Ex: William R Lethaby, the architect who had Westminster Abbey in his charge for over twenty years, once said 'Art is thoughtful workmanship'.
    Ex: If we decide to take on making up a subject file there'd be a lot of footwork even if we use that list as a basis = Si decidimos aceptar crear un fichero ordenado por materias habría mucho trabajo incluso si usamos esta lista como base.
    Ex: The newspaper's suppression after the first issue was not, as some historians have declared, the handwork of Massachusetts' Puritan clergy = La supresión del periódico después de su primer número no fue, como algunos historiadores han declarado, por la intervención del clero puritano de Massachussetts.
    Ex: In virtually all of her professional positions she has been involved with the handling of documents.
    Ex: While many believe that print on paper will never die, new formats are already changing working practice in many spheres.
    Ex: People who are blind, regardless of their pursuit in life, will not have access to current information, books, learning, or education opportunities unless all libraries and blindness organizations agree to work together.
    Ex: Rather than bringing in butchers to do the handiwork of his dissections, Vesalius himself worked on the human cadavers and said that students of medicine should do the same.
    Ex: This is an eloquent, moving testament to the lifework of a major artist of unimpeachable technique and passion.
    Ex: The computer people are muscling in on our line of business and we can't stop them.
    Ex: Furthermore, the computer can be used, and is already being used, to eliminate drudgery, busywork, and useless toil in library systems.
    Ex: In fact, the terms of the contrast are highly ambivalent: order vs. anarchy, liberty vs. despotism, or industry vs. sloth, and also dissimulation vs. honesty.
    * acoso en el trabajo = workplace mobbing.
    * agenda de trabajo = work agenda.
    * agobiado de trabajo = up to + Posesivo + eyeballs in work.
    * ahorrar el trabajo de = save + effort in.
    * almuerzo de trabajo = work luncheon.
    * ámbito de trabajo = field of endeavour.
    * amor al trabajo = love of work.
    * ansiedad en el trabajo = job anxiety, work anxiety.
    * anterior al trabajo = pre-service.
    * anuncio de trabajo = help wanted ad, help wanted notice.
    * anuncios de trabajo = help-wanted advertising.
    * año de trabajo = man year.
    * ascender en el trabajo = step up + the career ladder.
    * ascenso en el trabajo = job promotion.
    * aspirar a un puesto de trabajo = aspire to + position.
    * asunto relacionado con el trabajo = work-related issue.
    * avanzar en + Posesivo + trabajo = advance + Posesivo + work, advance + Posesivo + work.
    * basado en el trabajo en equipo = team-based.
    * bibliografía de trabajo = working bibliography.
    * biblioteconomía especializada en el trabajo de referencia = reference librarianship.
    * bolsa de trabajo = labour exchange, job opportunities, employment bureau, employment centre, employment opportunity, job centre, job pool.
    * borrador de trabajo = working paper.
    * buscador de trabajo = job applicant, job seeker.
    * buscar trabajo = seek + employment.
    * buscar trabajo en la calle = work + the streets.
    * campo de trabajo = field of endeavour.
    * campo de trabajos forzados = labour camp, forced labour camp.
    * cantidad de trabajo = workload [work load].
    * carga de trabajo = workload [work load].
    * centro de trabajo = workplace.
    * cobrar en un trabajo = job + pay.
    * comenzar el turno de trabajo = go on + duty.
    * comida de trabajo = business meal, professional meal.
    * compañero de trabajo = co-worker [coworker], male colleague, work colleague, fellow worker.
    * complementos del trabajo = fringe benefits, fringes.
    * conciliación del trabajo y la familia = reconciliation of work and family.
    * con demasiado trabajo = overworked.
    * condiciones del contrato de trabajo = terms of employment.
    * condiciones de trabajo = working conditions.
    * con mucho trabajo = painfully.
    * conseguir un puesto de trabajo = obtain + position.
    * conseguir un trabajo = enter + job, land + job.
    * con trabajo = in post.
    * contratar al primero que solicita el trabajo = hire on a first-come, first-take basis.
    * contrato de trabajo = contract position.
    * conversación de trabajo = shop talk.
    * costar mucho trabajo = have + a tough time, have + a hard time.
    * costar trabajo = have + Posesivo + work cut out for + Pronombre, have + Posesivo + job cut out for + Pronombre.
    * cualquier trabajo temporal = casual job.
    * cubrir un puesto de trabajo = fill + position.
    * cuestión relacionada con el trabajo = work-related issue.
    * dar permiso en el trabajo = give + time off work.
    * dar trabajo = present + burden.
    * dedicar trabajo = expend + effort.
    * definición de trabajo = working definition.
    * dejar a Alguien sin trabajo = put + Nombre + out of work.
    * dejar el puesto de trabajo = resign from + Posesivo + post.
    * dejar el trabajo = resign from + Posesivo + post, quit + Posesivo + job, jump + ship.
    * dejar sin trabajo = put + Nombre + out of work.
    * dejar un puesto de trabajo = resign from + Posesivo + position.
    * dejar un trabajo = quit, resign + Posesivo + post.
    * denominación del puesto de trabajo = job title, occupational title.
    * dentro del mismo trabajo = intraoccupational.
    * derecho del trabajo = employment law.
    * desarrollar + Posesivo + trabajo = advance + Posesivo + work.
    * desarrollar un plan de trabajo = develop + agenda.
    * descripción del puesto de trabajo = job description, position description, job profile.
    * desempeñar un trabajo = exercise + work.
    * despedir del trabajo = make + redundant.
    * después del horario de trabajo = after hours [after-hours].
    * de trabajo = working.
    * día del trabajo = Labour Day.
    * día de trabajo = working day.
    * día internacional del trabajo = Labour Day.
    * diario automático de trabajo = time log.
    * dignidad del trabajo = dignity of work.
    * dinámica de trabajo = workflow [work flow].
    * distribución del trabajo = workflow [work flow].
    * distribuir el trabajo = spread + the load.
    * división del trabajo = division of labour.
    * documento de trabajo = working document, working draft.
    * eficacia en el trabajo = quality of service.
    * elaborar un plan de trabajo = develop + agenda.
    * eliminar puestos de trabajo = shed + jobs, axe + jobs, cut + jobs.
    * empresa de trabajo = industrial affiliation.
    * encomendar un trabajo a Alguien = assign + job.
    * encontrar trabajo = find + a job.
    * encontrar trabajo en una biblioteca = join + library.
    * en el horario de trabajo = on company time.
    * en el trabajo = on-the-job, at work.
    * enseñanza antes de empezar el trabajo = pre-service education.
    * enseñanza en el trabajo = in-service education.
    * entorno de trabajo = working environment, work environment.
    * entrevista de trabajo = job interview.
    * equipo de trabajo = study team, project team, work team.
    * esclavo del trabajo = workaholic.
    * escribir un trabajo = write + essay.
    * espacio de trabajo = workspace.
    * específico de un trabajo concreto = job-specific.
    * estación de trabajo = workstation [work station], desktop workstation.
    * estación de trabajo remota = outstation.
    * estadía de trabajo = work visit.
    * estar mareado de tanto trabajo = be reeling.
    * estar relacionado con el trabajo = be work related.
    * estar saturado de trabajo = work to + capacity.
    * estar sin trabajo = stay out of + work.
    * estrategia que ahorra trabajo = labour saver.
    * estrés en el trabajo = job stress.
    * evaluar el rendimiento en el trabajo = evaluate + work performance.
    * excedencia en el trabajo = leave of absence.
    * ficha de trabajo = worksheet, project worksheet.
    * formación continua en el trabajo = workplace training, workplace learning.
    * formación en el trabajo = in-service training, in-service education, in-service, on-the-job training, in-service support.
    * funciones del puesto de trabajo = position + entail + duty.
    * grupo de trabajo = study group, study team, task force, working party, task group, research group, working group, project team.
    * grupo de trabajo por tema de interés = breakout group.
    * guía de trabajo = working guide.
    * hábito de trabajo = work habit, working habit.
    * hablar del trabajo = talk + shop.
    * hacer + Posesivo + trabajo = get on with + Posesivo + work.
    * hacer (todo) el trabajo pesado = do (all) + the donkey work.
    * hacer un buen trabajo = do + a good job.
    * hacer un trabajo = do + work, do + job.
    * hacer un trabajo sobre = do + a project about.
    * hasta aquí de trabajo = up to + Posesivo + eyeballs in work.
    * hasta el cuello de trabajo = up to + Posesivo + eyeballs in work.
    * herramienta de trabajo = tool, tool.
    * hora de trabajo = man-hour.
    * horario de trabajo = hours of operation, working hours, work hours.
    * horario intenso de trabajo = long hours, the.
    * horarios de trabajo demasiado cargados = over-long hours.
    * igualdad de oportunidad en el trabajo = equal employment opportunity.
    * igualdad de retribución por un trabajo de valor comparable = equal pay for comparable work.
    * igualdad de retribución por un trabajo de igual valor = equal pay for equal work.
    * incentivo en el trabajo = work incentive, labour incentive.
    * indicador del trabajo realizado = workload indicator.
    * intercambio de puestos de trabajo = job exchange.
    * jornada de trabajo = workshop.
    * liberar del exceso de trabajo = relieve + overload.
    * liberar de trabajo = relieve + pressure.
    * línea de trabajo = line of work.
    * llamar al trabajo para excusarse por enfermedad = call in + sick.
    * llegar tarde al trabajo = be late for work.
    * lugar de trabajo = affiliation, institutional affiliation, working environment, workplace, place of work, worksite [work site], home institution.
    * lugar de trabajo del autor = author affiliation.
    * magistratura del trabajo = industrial tribunal.
    * marco de trabajo = framework.
    * medida de seguridad e higiene en el trabajo = health and safety standard.
    * memoria de trabajo = working memory.
    * mercado de trabajo = labour market, job market.
    * mercado de trabajo, el = employment market, the.
    * mesa de trabajo = desk, study table.
    * método de trabajo = working method.
    * Ministerio de Trabajo = Department of Labor.
    * modelo de trabajo = working model, business model.
    * mucho trabajo = hard graft.
    * negligente en el trabajo = malpractitioner.
    * neurosis producida por el trabajo = occupational neurosis.
    * NISTF (Grupo de Trabajo sobre los Sistemas Nacionales de Información de la A = NISTF (Society of American Archivists National Information Systems Task Force).
    * no perder el trabajo = stay in + work.
    * norma de trabajo = working rule.
    * no tener trabajo = be unemployed.
    * obtener un puesto de trabajo = obtain + position.
    * ocupar un puesto de trabajo = assume + position, take up + post, hold + post.
    * oferta de trabajo = job advertisement, job offer, help wanted ad, help wanted notice.
    * ofertas de trabajo = help-wanted advertising.
    * oportunidad de trabajo = career opportunity.
    * organización del trabajo = workflow [work flow], working arrangement.
    * paquete de trabajo = workpackage.
    * para trabajos pesados = heavy-duty.
    * pérdida de puestos de trabajo = squeeze on jobs.
    * permiso de trabajo = work permit.
    * permuta de trabajo = job exchange.
    * persona encargada de hacer los trabajos sucios = hatchetman.
    * persona obsesiva con el trabajo = workoholic [workholic], workaholic.
    * persona que asigna el trabajo = assigner.
    * persona que deja un trabajo = leaver.
    * persona que reparte el trabajo = assigner.
    * personas sin trabajo remunerado, los = unwaged, the.
    * plan de trabajo = research agenda, work plan, working plan, work schedule.
    * política de trabajo = policy.
    * postura exigida por el trabajo = work posture.
    * proceso de trabajo = work process.
    * programa de formación en el trabajo = in-service training program(me).
    * programa de trabajo = work schedule.
    * programa de trabajo como interno residente = residency.
    * promoción en el trabajo = job promotion.
    * propuesta de trabajo = project proposal.
    * proyecto de trabajo = work project.
    * puente de trabajo = catwalk.
    * puesto de trabajo = appointment, position, post, opening, career path, professional position, position held.
    * puesto de trabajo de libre designación = line position.
    * puesto de trabajo ocupado = position held.
    * puestos de trabajo ocupados = positions held.
    * quitar puestos de trabajo = shed + jobs, axe + jobs, cut + jobs.
    * realizar el trabajo = get + Posesivo + work done.
    * realizar + Posesivo + trabajo = advance + Posesivo + work.
    * realizar un trabajo = perform + work, undertake + work.
    * realizar un trabajo monótono = have + Posesivo + nose to the grindstone.
    * red de trabajo = peer-to-peer network.
    * relacionado con el trabajo = job-related, work-related.
    * relación de trabajo = working relation, working relationship, work relationship, work relation.
    * relativo al trabajo = occupational.
    * rendimiento en el trabajo = work performance.
    * reunión de trabajo = business meeting, business session.
    * ropa de trabajo = work clothes.
    * rutina de trabajo = work process.
    * sala de trabajo = workroom.
    * salir del trabajo = clock off + work.
    * salud en el trabajo = occupational health.
    * satisfacción en el trabajo = job satisfaction, work satisfaction.
    * segregación en el trabajo = job segregation, employment segregation.
    * seguridad en el trabajo = safety at work, occupational safety.
    * sesión de trabajo = work session, working session.
    * sicología del trabajo = occupational psychology.
    * sin trabajo = jobless.
    * sobrecargado de trabajo = overworked.
    * sociología del trabajo = sociology of work.
    * soliciante de trabajo = job applicant.
    * solicitud de trabajo = job application.
    * superficie de trabajo = working surface, work surface.
    * taller de trabajo = workshop, study school.
    * taller de trabajo esclavo = sweatshop.
    * taller de trabajo sobre composición = writing workshop.
    * tener trabajo para rato = have + Posesivo + work cut out for + Pronombre, have + Posesivo + job cut out for + Pronombre.
    * tener un segundo trabajo = moonlight, work + a second job.
    * tener un trabajo = hold down + job.
    * tener un trabajo remunerado = be gainfully employed.
    * tener un trabajo retribuido = be gainfully employed.
    * tensión en el trabajo = job stress.
    * tensión producida por el trabajo = occupational stress.
    * terminar turno de trabajo = come off + duty.
    * toda una vida de trabajo = a lifetime of work.
    * tomarse excedencia en el trabajo = take + leave from + employment.
    * tomarse + Expresión Temporal + de permiso en el trabajo = take + Expresión Temporal + off, have + Expresión Temporal + off work.
    * tomarse unos días de permiso en el trabajo = take + time off work.
    * tomarse unos días de permiso en el trabajo = take + time off, take + time out.
    * trabajo académico = academic work.
    * trabajo a destajo = piecework.
    * trabajo a distancia = telecommuting, teleworking, telework.
    * trabajo administrativo de apoyo = clerical work.
    * trabajo a medias = job share.
    * trabajo artesanal = craftsmanship.
    * trabajo a tiempo parcial = part-time work, part-time employment, part-time job.
    * trabajo atípico = atypical work.
    * trabajo autónomo = self-employment.
    * trabajo bibliográfico = bibliographic work.
    * trabajo bibliotecario = library work.
    * trabajo burocrático = paper-keeping.
    * trabajo científico = scientific work, scholarly work.
    * trabajo compartido = job sharing.
    * trabajo complicado = major exercise.
    * trabajo con documentación automatizada = computer-based information work.
    * trabajo conjunto = interworking.
    * trabajo con ordenador = computer work.
    * trabajo cotidiano = daily work.
    * trabajo creativo = creative work.
    * trabajo de alfabetización = literacy work.
    * trabajo de apoyo = escort work.
    * trabajo de calidad = best practices, lessons learned [lessons learnt].
    * trabajo de campo = fieldwork [field work].
    * trabajo de catalogación = cataloguing work.
    * trabajo de chinos = fiddly [fiddlier -comp., fiddliest -sup.].
    * trabajo de clase = term paper, coursework [course work], term project, homework.
    * trabajo de detective = sleuthing.
    * trabajo de escolta = escort work.
    * trabajo de impresión = bookwork.
    * trabajo de impresión de material efímero = ephemeral jobbing.
    * trabajo de información y de las bibliotecas = library and information work.
    * trabajo de investigación = investigative work, research paper, research work.
    * trabajo de la casa = housework.
    * trabajo de menores = child labour.
    * trabajo de poca monta = odd-job.
    * trabajo de préstamo de servicios = service job.
    * trabajo de referencia = reference work.
    * trabajo desinteresado = labour of love.
    * trabajo detectivesco = sleuthing.
    * trabajo de toda una vida = life's work, lifework.
    * trabajo diario = day's work, daily work.
    * trabajo doméstico = domestic duty, domestic work, domestic task.
    * trabajo duro = hard labour, thirsty work, hard work.
    * trabajo duro, mucho trabajo = hard graft.
    * trabajo editorial = editorship.
    * trabajo en archivística = archives work.
    * trabajo en colaboración = interworking.
    * trabajo en común = interworking.
    * trabajo en curso = work in progress.
    * trabajo en equipo = teamwork, collaborative teamwork, team management.
    * trabajo en red = networking.
    * trabajo en sucio = rough work.
    * trabajo entre manos, el = work at hand, the.
    * trabajo eventual = jobbing.
    * trabajo físico = physical work.
    * trabajo improductivo = busywork.
    * trabajo individual = independent study, self-study.
    * trabajo infantil = child labour, child work.
    * trabajo ininterrumpido = continuous work.
    * trabajo manual = craft, craft activity, handiwork, manual labour.
    * trabajo monótono = drudge work, drudgery.
    * trabajo + no faltar = have + Posesivo + work cut out for + Pronombre, have + Posesivo + job cut out for + Pronombre.
    * trabajo no remunerado = unpaid work, unremunerated work.
    * trabajo pesado = grind, grinding, donkey work.
    * trabajo por cuenta propia = self-employment.
    * trabajo por libre = freelance [free-lance].
    * trabajo por + Posesivo + cuenta = freelance [free-lance].
    * trabajo por turnos = shift work.
    * trabajo práctico = fieldwork [field work], practical work.
    * trabajo preliminar = groundwork, legwork, spadework [spade work].
    * trabajo previo = groundwork, spadework [spade work].
    * trabajo remunerado = work-for-hire, paid work, paid labour.
    * trabajo rutinario = chore, routine work, mundane task.
    * trabajos = life's work.
    * trabajos de impresión de material efímero = jobbing work.
    * trabajos de rescate = rescue work.
    * trabajos forzados = forced labour, hard labour.
    * trabajo social = social work.
    * trabajo sucio = dirty work.
    * trabajo sumergido = informal work.
    * trabajo temporal = temporary job, casual job.
    * trabajo urgente = hurried work, rush job.
    * trabajo y esfuerzo = toil and trouble.
    * turno de trabajo de atención al usuario = desk duty.
    * un trabajo bien hecho = a job well done.
    * uso compartido de mesas de trabajo = hot desking.
    * útil de trabajo = tool.
    * vida en el trabajo = job life.
    * visita de trabajo = field trip.

    trabajo2
    2 = assignment, student paper, work, project work, term project.

    Ex: The problems and assignments presented are real problems and assignments, and the people involved are real people, all suitably disguised to protect their identity.

    Ex: 5 data collection instruments were used: printouts of data base searches executed by students; a questionnaire; bibliographies from student papers; serial holdings of the university library; and interviews with instructors.
    Ex: An authority entry is an entry for which the initial element is the uniform heading for a person, corporate body, or work, as established by the cataloguing agency responsible.
    Ex: For instance, if children are doing a project work on dogs, they will hunt out anything and everything that so much as mentions them and the bits thus mined are assiduously transcribed into project folders.
    Ex: In 1994, 21 students on an introductory course on communication processes completed analyses of 14 different electronic lists or newsgroups as their term projects.
    * impresor de pequeños trabajos = jobbing house, jobbing office, jobbing printer.
    * mesa de trabajo = writing desk, work desk.
    * preparar un trabajo de clase = research + paper.
    * trabajo de clase = essay assignment, class assignment, course assignment, student assignment, written assignment.
    * trabajo de lectura obligatoria = a must-read.
    * trabajo de restauración = restoration work.
    * trabajo editado = published work.
    * trabajo escolar = school work [schoolwork].
    * trabajo impreso = printed work.
    * trabajo publicado = published work.
    * trabajos de clase = classroom asignment.
    * un trabajo cuqlquiera = casual job.

    * * *
    A
    1
    (empleo): conseguir trabajo to get o find work
    consiguió un trabajo muy bien pagado he got himself a very well-paid job
    hay dos trabajos interesantes en el periódico de hoy there are two interesting vacancies o jobs in today's paper
    se fue a la capital a buscar trabajo he went to the capital to look for work o for a job
    se quedó sin trabajo she lost her job, she was made redundant, she was let go ( AmE)
    no tiene trabajo fijo he doesn't have a steady job
    buscaba trabajo de jornada completa or a tiempo completo or de tiempo completo I was looking for full-time work o for a full-time job
    2 (lugar) work
    está en el trabajo she's at work
    ir al trabajo to go to work
    llámame al trabajo give me a call at work
    la estación queda cerca de mi trabajo the station's close to where I work
    Compuesto:
    work-sharing
    B (actividad, labor) work
    trabajo intelectual intellectual work o brainwork
    su capacidad de trabajo es enorme he has an enormous capacity for work
    la máquina hace el trabajo de cinco personas the machine does the work of five people
    requiere años de trabajo it takes years of work
    todo nuestro trabajo ha sido en vano all our work has been in vain
    es un trabajo especializado/de precisión it's specialized/precision work
    me tocó a mí hacer todo el trabajo I ended up doing all the work, I got stuck o ( BrE) landed with all the work ( colloq)
    hoy no puedo, tengo mucho trabajo I can't today, I have o I've got a lot of work to do
    tengo mucho trabajo acumulado I have a huge backlog of work to do
    este bordado tiene mucho trabajo a lot of work has gone into this embroidery
    ¡buen trabajo! te felicito nice work! well done
    fue premiado por su trabajo en esa película he was given an award for his performance in that movie
    hacer un trabajo de zapa to work o scheme behind the scenes
    le he estado haciendo un trabajo de trabajo y ya lo tengo en el bote I've been quietly working on him o softening him up and now I've got him right where I want him
    Compuestos:
    piece work
    agricultural work
    (CS) work to rule
    fieldwork
    fiddly o laborious job
    labor*
    work experience
    assembly-line work
    mpl hard labor*
    mpl handicrafts (pl)
    social work
    voluntary o ( AmE) volunteer work
    C
    1 (tarea, obra) job
    es un trabajo que no lo puede hacer cualquiera it's not a job that just anyone can do
    limpiar el horno es un trabajo que odio cleaning the oven is a job o chore I hate
    la satisfacción de un trabajo bien hecho the satisfaction of a job well done
    me cobró un dineral por un par de trabajos he charged me a fortune for doing a couple of little jobs o tasks
    2 (obra escrita) piece of work
    un trabajo bien documentado a well-documented piece of work
    estoy haciendo un trabajo sobre Lorca I'm doing a paper/an essay on Lorca
    D
    (esfuerzo): con mucho trabajo consiguió levantarse with great effort she managed to get up
    nos dio mucho trabajo pintarlo painting it was hard work o took a lot of work
    los niños dan mucho trabajo children are hard work o a lot of work
    me cuesta trabajo creerlo I find it hard to believe
    nos costó trabajo convencerla de que viniera we had a hard time persuading her to come
    se tomó/dio el trabajo de venir a buscarme she took the trouble to come and pick me up
    puedes ahorrarte el trabajo de ir hasta allá you can save yourself the trouble o bother of going all the way over there
    E ( Econ) labor*
    el capital y el trabajo capital and labor
    F ( Fís) work
    * * *

     

    Del verbo trabajar: ( conjugate trabajar)

    trabajo es:

    1ª persona singular (yo) presente indicativo

    trabajó es:

    3ª persona singular (él/ella/usted) pretérito indicativo

    Multiple Entries:
    trabajar    
    trabajo
    trabajar ( conjugate trabajar) verbo intransitivo
    1 ( en general) to work;

    trabajo jornada completa or a tiempo completo to work full-time;
    trabajo media jornada to work part-time;
    trabajo mucho to work hard;
    ¿en qué trabajas? what do you do (for a living)?;
    estoy trabajando en una novela I'm working on a novel;
    trabajo DE or COMO algo to work as sth
    2 ( actuar) to act, perform;
    ◊ ¿quién trabaja en la película who's in the movie?

    verbo transitivo
    1
    a) ‹campo/tierra/madera› to work


    2 (perfeccionar, pulir) to work on
    trabajo sustantivo masculino
    1
    a) ( empleo) job;

    ◊ buscar trabajo to look for work o for a job;

    quedarse sin trabajo to lose one's job;
    un trabajo fijo a steady job;
    un trabajo de media jornada a part-time job;
    un trabajo de jornada completa or a tiempo completo a full-time job
    b) ( lugar) work;


    ir al trabajo to go to work
    2 (actividad, labor) work;

    el trabajo de la casa housework;
    los niños dan mucho trabajo children are hard work;
    ¡buen trabajo! well done!;
    trabajo de campo fieldwork;
    trabajos forzados hard labor( conjugate labor);
    trabajos manuales handicrafts (pl);
    trabajo voluntario voluntary o (AmE) volunteer work
    3
    a) ( tarea) job;



    (en universidad, escuela) essay
    4 ( esfuerzo):

    me cuesta trabajo creerlo I find it hard to believe
    trabajar
    I verbo intransitivo
    1 to work: trabaja de secretaria, she works as a secretary
    trabaja en los astilleros, she works in the shipyard
    trabaja bien, he's a good worker
    2 Cine (actuar) to act: en esta película trabaja mi actriz favorita, my favourite actress is in this movie
    II verbo transitivo
    1 (pulir, ejercitar, estudiar) to work on: tienes que trabajar más el estilo, you have to work on your style
    2 (la madera) to work
    (un metal) to work
    (la tierra) to work, till
    (cuero) to emboss
    2 (comerciar) to trade, sell: nosotros no trabajamos ese artículo, we don't stock that item
    trabajo sustantivo masculino
    1 work: hoy tengo poco trabajo, I have little work today
    2 (empleo) job: no tiene trabajo, he is unemployed
    3 (esfuerzo) work, effort: nos costó mucho trabajo hacerlo, it was hard to do it
    4 Educ (sobre un tema) paper
    (de manualidades) craft work
    5 (tarea) task
    un trabajo de chinos, a laborious job
    ' trabajo' also found in these entries:
    Spanish:
    abarcar
    - abundancia
    - actual
    - adicta
    - adicto
    - afanosa
    - afanoso
    - agencia
    - agobiada
    - agobiado
    - agobiante
    - antigüedad
    - ascender
    - asquerosidad
    - aterrizar
    - balde
    - bestialidad
    - bicoca
    - bolsa
    - bordar
    - buscar
    - cadena
    - calendario
    - calle
    - cambiar
    - campo
    - capear
    - cara
    - cargada
    - cargado
    - caterva
    - chapucera
    - chapucero
    - chapuza
    - chollo
    - colocarse
    - como
    - condición
    - condicionamiento
    - construcción
    - cuanta
    - cuanto
    - cubierta
    - cubierto
    - dar
    - dejar
    - desbandada
    - descansada
    - descansado
    - descargar
    English:
    abandon
    - acclaim
    - actual
    - allocation
    - ambivalent
    - anxiety
    - apathetic
    - application
    - apply
    - apply for
    - apprentice
    - arm-twisting
    - artwork
    - assignment
    - at
    - attack
    - backlog
    - backup
    - barrel
    - be-all and end-all
    - begrudge
    - better
    - blouse
    - blue
    - board
    - bog down
    - boiler suit
    - book
    - botch
    - bother
    - bread-and-butter
    - bulk
    - burn out
    - bury
    - busywork
    - by
    - capacity
    - careless
    - carry over
    - casual
    - catch up
    - chapter
    - choose
    - chuck in
    - clerical
    - collaboration
    - colleague
    - comedown
    - commute
    - commuter
    * * *
    1. [tarea, actividad, práctica] work;
    tengo mucho trabajo que hacer I've got a lot of work to do;
    una casa tan grande da mucho trabajo a big house like that is a lot of work;
    uno de los últimos trabajos de Diego Rivera one of Diego Rivera's last works;
    recibió un Óscar por su trabajo en “Cabaret” she received an Oscar for (her performance in) “Cabaret”;
    ¡buen trabajo! good work!;
    hacer un buen trabajo to do a good job;
    ser un trabajo de chinos [minucioso] to be a fiddly o finicky job;
    [pesado] to be hard work trabajo de campo fieldwork;
    trabajo de o en equipo teamwork;
    trabajo físico physical work, manual labour;
    trabajos forzados o forzosos hard labour;
    trabajo intelectual intellectual work;
    trabajo manual manual labour;
    trabajos manuales [en el colegio] arts and crafts;
    trabajo de oficina office job;
    trabajo remunerado paid work;
    trabajo social social work;
    trabajo sucio dirty work;
    trabajo temporal temporary work;
    trabajo por turnos shiftwork;
    trabajo voluntario voluntary work
    2. [empleo] job;
    buscar/encontrar trabajo to look for/find work o a job;
    no tener trabajo, estar sin trabajo to be out of work;
    me he quedado sin trabajo I've been left without a job, I'm out of work;
    tener un trabajo fijo to have a permanent job
    3. [lugar] work;
    en el trabajo at work;
    ir al trabajo to go to work;
    ¿quieres que pase a recogerte al trabajo? do you want me to pick you up from work?
    4. [escrito] [por estudiante] essay, paper;
    hacer un trabajo sobre algo/alguien to write an essay on sth/sb
    5. [esfuerzo] effort;
    lograron sacar el armario con mucho trabajo they managed to remove the wardrobe, but not without a lot of effort o but it was no easy task;
    costar mucho trabajo (a alguien) to take (sb) a lot of effort;
    me cuesta mucho trabajo levantarme por las mañanas I find it a real struggle getting up in the morning;
    cuesta trabajo admitir que uno se ha equivocado it's not easy to admit that you're wrong;
    tomarse el trabajo de hacer algo to go to o take the trouble of doing sth
    6. Econ & Pol labour
    7. Fís work
    8. Literario
    trabajos [apuros] hardships;
    pasar trabajos to suffer hardships
    * * *
    m work; ( tarea, puesto) job;
    buscar trabajo be looking for work, be looking for a job;
    tengo un buen trabajo I have a good job;
    costar trabajo be hard o difficult;
    tomarse el trabajo de take the trouble to
    * * *
    1) : work, job
    2) labor: labor, work
    tengo mucho trabajo: I have a lot of work to do
    3) tarea: task
    4) esfuerza: effort
    5)
    costar trabajo : to be difficult
    6)
    tomarse el trabajo : to take the trouble
    7)
    trabajo en equipo : teamwork
    8) trabajos nmpl
    : hardships, difficulties
    * * *
    1. (actividad, esfuerzo) work
    2. (empleo, tarea) job
    3. (lugar) work
    4. (redacción) essay / project

    Spanish-English dictionary > trabajo

  • 6 Reading

       1) The Discovery of Truth Depends on the Thoughtful Reading of Authoritative Texts
       For the Middle Ages, all discovery of truth was first reception of traditional authorities, then later-in the thirteenth century-rational reconciliation of authoritative texts. A comprehension of the world was not regarded as a creative function but as an assimilation and retracing of given facts; the symbolic expression of this being reading. The goal and the accomplishment of the thinker is to connect all these facts together in the form of the "summa." Dante's cosmic poem is such a summa too. (Curtius, 1973, p. 326)
       The readers of books... extend or concentrate a function common to us all. Reading letters on a page is only one of its many guises. The astronomer reading a map of stars that no longer exist; the Japanese architect reading the land on which a house is to be built so as to guard it from evil forces; the zoologist reading the spoor of animals in the forest; the card-player reading her partner's gestures before playing the winning card; the dancer reading the choreographer's notations, and the public reading the dancer's movements on the stage; the weaver reading the intricate design of a carpet being woven; the organ-player reading various simultaneous strands of music orchestrated on the page; the parent reading the baby's face for signs of joy or fright, or wonder; the Chinese fortune-teller reading the ancient marks on the shell of a tortoise; the lover blindly reading the loved one's body at night, under the sheets; the psychiatrist helping patients read their own bewildering dreams; the Hawaiian fisherman reading the ocean currents by plunging a hand into the water; the farmer reading the weather in the sky-all these share with book-readers the craft of deciphering and translating signs....
       We all read ourselves and the world around us in order to glimpse what and where we are. We read to understand, or to begin to understand. We cannot do but read. Reading, almost as much as breathing, is our essential function. (Manguel, 1996, pp. 6-7)
       There is a pitched battle between those theorists and modellers who embrace the primacy of syntax and those who embrace the primacy of semantics in language processing. At times both schools have committed various excesses. For example, some of the former have relied foolishly on context-free mathematical-combinatory models, while some of the latter have flirted with versions of the "direct-access hypothesis," the idea that skilled readers process printed language directly into meaning without phonological or even syntactic processing. The problems with the first excess are patent. Those with the second are more complex and demand more research. Unskilled readers apparently do rely more on phonological processing than do skilled ones; hence their spoken dialects may interfere with their reading-and writing-habits. But the extent to which phonological processing is absent in the skilled reader has not been established, and the contention that syntactic processing is suspended in the skilled reader is surely wrong and not supported by empirical evidence-though blood-flow patterns in the brain are curiously different during speaking, oral reading, and silent reading. (M. L. Johnson, 1988, pp. 101-102)

    Historical dictionary of quotations in cognitive science > Reading

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