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theoretical investigation

  • 1 теоретическое исследование

    2) Military: basic research
    3) Construction: theoretical study
    4) Metallurgy: theoretical research
    5) Advertising: desk study
    7) Aviation medicine: (научное) basic research

    Универсальный русско-английский словарь > теоретическое исследование

  • 2 положить начало

    •

    To initiate (or trigger) the halogenation reaction,...

    •

    It was believed that science, having "split the atom", had ushered in a new era of abundant, inexpensive energy.

    •

    This achievement marked the beginning of active research on...

    •

    A beginning has now been made in providing an explanation for the relation between reality and the mind.

    •

    The new approach to enzyme technology has initiated a remarkable volume of work.

    •

    They pioneered investigations into...

    Русско-английский научно-технический словарь переводчика > положить начало

  • 3 экспериментально-теоретическое исследование

    Экспериментально-теоретическое исследование-- An experimental and theoretical investigation was conducted to determine the operating characteristics of full-scale, arched outer-race bearings.

    Русско-английский научно-технический словарь переводчика > экспериментально-теоретическое исследование

  • 4 encuestado

    f. & m.
    pollee, person who is being asked questions in a poll.
    past part.
    past participle of spanish verb: encuestar.
    * * *
    - da masculino, femenino

    el 50% de los encuestados — 50% of those polled

    * * *
    = respondent, responder, interviewee.
    Nota: Nombre.
    Ex. Many respondents would have welcomed a less theoretical syllabus with a greater allocation of class time in the lower rather than upper school.
    Ex. It was apparent that the responders to the investigation were somewhat unsure of their future situation relative to the burgeoning information education market = Era claro que los entrevistados en la investigacion no se sentían muy seguros sobre su situación futura en relación con el incipiente mercado de las enseñanzas de documentación.
    Ex. This article summarises the responses of interviewees to a number of broad questions relating to the atmosphere of libraries.
    * * *
    - da masculino, femenino

    el 50% de los encuestados — 50% of those polled

    * * *
    = respondent, responder, interviewee.
    Nota: Nombre.

    Ex: Many respondents would have welcomed a less theoretical syllabus with a greater allocation of class time in the lower rather than upper school.

    Ex: It was apparent that the responders to the investigation were somewhat unsure of their future situation relative to the burgeoning information education market = Era claro que los entrevistados en la investigacion no se sentían muy seguros sobre su situación futura en relación con el incipiente mercado de las enseñanzas de documentación.
    Ex: This article summarises the responses of interviewees to a number of broad questions relating to the atmosphere of libraries.

    * * *
    masculine, feminine
    el 50% de los encuestados 50% of those polled
    * * *

    Del verbo encuestar: ( conjugate encuestar)

    encuestado es:

    el participio

    Multiple Entries:
    encuestado    
    encuestar
    encuestado
    ◊ -da sustantivo masculino, femenino: el 50% de los encuestados 50% of those polled

    encuestar verbo transitivo to poll

    * * *
    encuestado, -a nm,f
    person polled;
    los encuestados those polled, the respondents
    * * *
    :
    el 75% de los encuestados 75% of those surveyed o polled

    Spanish-English dictionary > encuestado

  • 5 entrevistado

    f. & m.
    interviewee.
    past part.
    past participle of spanish verb: entrevistar.
    * * *
    entrevistado, -a
    SM / F interviewee, person being interviewed
    * * *
    - da masculino, femenino interviewee
    * * *
    = respondent, responder, interviewee.
    Nota: Nombre.
    Ex. Many respondents would have welcomed a less theoretical syllabus with a greater allocation of class time in the lower rather than upper school.
    Ex. It was apparent that the responders to the investigation were somewhat unsure of their future situation relative to the burgeoning information education market = Era claro que los entrevistados en la investigacion no se sentían muy seguros sobre su situación futura en relación con el incipiente mercado de las enseñanzas de documentación.
    Ex. This article summarises the responses of interviewees to a number of broad questions relating to the atmosphere of libraries.
    * * *
    - da masculino, femenino interviewee
    * * *
    = respondent, responder, interviewee.
    Nota: Nombre.

    Ex: Many respondents would have welcomed a less theoretical syllabus with a greater allocation of class time in the lower rather than upper school.

    Ex: It was apparent that the responders to the investigation were somewhat unsure of their future situation relative to the burgeoning information education market = Era claro que los entrevistados en la investigacion no se sentían muy seguros sobre su situación futura en relación con el incipiente mercado de las enseñanzas de documentación.
    Ex: This article summarises the responses of interviewees to a number of broad questions relating to the atmosphere of libraries.

    * * *
    masculine, feminine
    interviewee
    * * *
    entrevistado, -a nm,f
    interviewee;
    uno de cada tres entrevistados… [en encuesta] one in three people interviewed…

    Spanish-English dictionary > entrevistado

  • 6 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

  • 7 Bibliography

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    Historical dictionary of quotations in cognitive science > Bibliography

  • 8 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

  • 9 relevante

    adj.
    1 outstanding, important.
    2 relevant, pertinent.
    * * *
    1 (significativo) relevant
    2 (importante) excellent, outstanding
    * * *
    adj.
    * * *
    ADJ
    1) (=destacado) outstanding
    2) (=pertinente) relevant
    * * *
    adjetivo notable, outstanding
    * * *
    = convenient, leading, pertinent, relevant, fit for purpose, selected, outstanding, important.
    Ex. The most convenient manual format for recording terms is to write each term on a card.
    Ex. In addition to her reputation as a leading expert in information control, Phyllis Richmond is another of ISAD's official reviewers of the AACR2's draft.
    Ex. An organisation engaged in the preparation of abstracts for some information tool cannot realistically hope to compile an abstract for every document that is pertinent to the topic that aims to cover.
    Ex. Most such bulletins list titles or abstracts, together with citations of relevant new documents in the subject area.
    Ex. Commercial pressures are placing demands on the designer to provide solutions which are fit for purpose for all user groups.
    Ex. This month-long fellowship will offer participants an opportunity to train at selected North American libraries.
    Ex. The PRECIS indexing system is a set of procedures for producing index entries which in theoretical terms represents an advance outstanding for its highly formularized approach to citation order and reference, or added entry, generation.
    Ex. Accessibility to the documents stored in files is an important factor, so the physical storage is important.
    ----
    * no relevante = non-relevant.
    * seleccionar como relevante = hit.
    * ser relevante = commend + Reflexivo + for + situation, be to the point.
    * ser relevante para = have + bearing on.
    * * *
    adjetivo notable, outstanding
    * * *
    = convenient, leading, pertinent, relevant, fit for purpose, selected, outstanding, important.

    Ex: The most convenient manual format for recording terms is to write each term on a card.

    Ex: In addition to her reputation as a leading expert in information control, Phyllis Richmond is another of ISAD's official reviewers of the AACR2's draft.
    Ex: An organisation engaged in the preparation of abstracts for some information tool cannot realistically hope to compile an abstract for every document that is pertinent to the topic that aims to cover.
    Ex: Most such bulletins list titles or abstracts, together with citations of relevant new documents in the subject area.
    Ex: Commercial pressures are placing demands on the designer to provide solutions which are fit for purpose for all user groups.
    Ex: This month-long fellowship will offer participants an opportunity to train at selected North American libraries.
    Ex: The PRECIS indexing system is a set of procedures for producing index entries which in theoretical terms represents an advance outstanding for its highly formularized approach to citation order and reference, or added entry, generation.
    Ex: Accessibility to the documents stored in files is an important factor, so the physical storage is important.
    * no relevante = non-relevant.
    * seleccionar como relevante = hit.
    * ser relevante = commend + Reflexivo + for + situation, be to the point.
    * ser relevante para = have + bearing on.

    * * *
    notable, outstanding
    es el rasgo más relevante de su personalidad it is the most notable o outstanding feature of her personality
    ocupa un cargo relevante en la empresa she has one of the top jobs o an important job in the company
    * * *

     

    relevante adjetivo
    notable, outstanding
    relevante adjetivo
    1 (una persona) prominent
    2 (un asunto, trabajo) important, outstanding: considera y valora únicamente los datos relevantes, only take the most important details into account
    no es un dato relevante para nuestra investigación, the resulting information is not important for our investigation
    ' relevante' also found in these entries:
    Spanish:
    pertinente
    - señalada
    - señalado
    English:
    come into
    - scan
    - relevant
    * * *
    outstanding, important
    * * *
    adj relevant
    * * *
    : outstanding, important

    Spanish-English dictionary > relevante

  • 10 показать

    (= показывать) show, register, read, exhibit, reveal, depict, display, illustrate, indicate
    • Анализ этих уравнений показывает, что... - Inspection of these equations shows that...
    • Более совершенным рассуждением можно показать, что... - By a more refined argument it can be shown that...
    • Более того, данное обсуждение показывает, что... - The discussion shows, moreover, that...
    • Более точное вычисление показывает, что... - A more exact calculation shows that...
    • Быстро покажем, что... - It will be shown in a moment that...
    • В главе 2 мы вернемся к этому вопросу и попытаемся показать, что... - In Chapter 2 we shall return to this question and try to show that...
    • В предыдущем параграфе мы уже показали, как исследовать... - In the preceding section we have shown how to investigate...
    • Важно, что исследование также показывает, что... - Importantly, the study also shows that...
    • Нам остается лишь показать, что... - All that remains is to show that...
    • Вычисления показали, что... - Computations have shown that...
    • Далее будет показано, что... - It will be shown in the sequel that...
    • Далее можно показать, что... - It can further be shown that...
    • Далее, легко показать, что... - It is easy to show, furthermore, that...
    • Далее, мы показываем, что существуют функции, нарушающие это неравенство при к > 2... - Next, we show that there are functions which violate this inequality for к > 2.
    • Дальнейшее исследование, однако, показало, что... - Further investigation, however, has shown that...
    • Дальнейшее применение соотношения (1) показывает, что... - Further application of (1) shows that...
    • Данная формулировка показывает сразу несколько аспектов. - The formulation reveals several things.
    • Данные примеры должны показать, что... - These examples should make it clear that...
    • Данный подход показывает, что... - The present approach shows that...
    • Данный результат следует немедленно, если мы можем показать, что... - The result will follow immediately if we can show that...
    • Действительно, в этом случае мы могли бы показать, что... - Indeed, in this case, we may show that...
    • Довольно громоздкое вычисление показывает, что... - A somewhat lengthy computation shows that...
    • Еще более удивительным является пример, найденный Смитом [11], который показывает, что... - Even more startling is an example due to Smith [11], which shows that...
    • Еще раз, это показывает зависимость... - Again, this demonstrates the dependence of...
    • Здесь мы можем только показать, что... - We can show here only that...
    • Изучение... показывает, что... - Studies of... indicate that...
    • Используя определения F и G, легко показать, что... - It is a simple matter, using the definitions of F and G, to show that...
    • Используя эти соотношения, мы легко можем показать по индукции, что... - From these relations we can easily show by induction that...
    • Исследование уравнения (4) показывает, что... - An examination of (4) shows that...
    • Исследования показали важность... - The studies demonstrated the importance of...
    • Видимо, все это показывает, что... - All this seems to show that...
    • Как легко показать, используя..., этим можно полностью пренебречь. - It is utterly negligible, as we can easily show by...
    • Как показывает следующий пример, это не обязательно выполняется. - This is not necessarily the case, as the following example illustrates.
    • Как приложение данного результата, мы покажем, что... - As an application of this result, we show that...
    • Количественный анализ этих результатов показывает, что... - A quantitative analysis of these results shows that...
    • Легко показать, что... - It is easily shown that...
    • Легкое изменение приведенного выше рассуждения показывает, что... - A slight modification of the above reasoning shows that...
    • Метод анализа, намеченный в предыдущем абзаце, показывает... - The method of analysis outlined in the last paragraph shows...
    • Многие годы экспериментов показали, что... - Many years of experimentation have shown that...
    • Можно показать, что в целом это заключение является справедливым. - It can be shown that this conclusion is generally valid.
    • Можно показать, что они являются как достаточными, так и необходимыми. - It may be shown that they are sufficient as well as necessary.
    • Можно показать, что это эквивалентно условию... - This can be shown to be equivalent to the condition that...
    • Мы должны показать, что... - We have to show that...
    • Мы можем показать это на простом примере. - We can demonstrate this with a simple example.
    • Мы оставляем для самостоятельного решения задачу показать, что... - We leave it as a problem to show that...
    • Мы покажем теперь, что это не справедливо. - We shall now show that this is not the case.
    • Мы хотим явно показать, что... - We wish to show explicitly that...
    • На самом деле мы лишь показали, что... - We have in fact only shown that...
    • На самом деле мы можем показать, что... - We can show, in fact, that...
    • На самом деле, его исследование, похоже, показывает, что... - Actually his investigation seemed to show that...
    • Нам остается показать, что... - We need only to show that...; It remains for us to show that...
    • Намеченные выше вычисления показывают, что... - The calculations outlined above show that...
    • Например, мы покажем, что... - We shall show, for example, that...
    • Например, не слишком трудно показать, что... - For example, it is not too difficult to show that...
    • Например, экспериментально было показано, что... - For example, it has been shown experimentally that...
    • Наш простой пример показывает, что... - Our simple example demonstrates that...
    • Наши цифры показывают, что... - Our figures show that...
    • Небольшое изменение этого доказательства показывает, что... - A minor modification of the proof shows that...
    • Небольшое размышление показывает, что... - A moment's reflection will indicate that...
    • Недавние эксперименты показали, что... - Recent experiments have shown that...
    • Недавняя работа показала, что... - Recent work has shown that...
    • Недолгое размышление покажет, что... - A moment's thought will show that...
    • Несколько иное рассуждение показывает, что... - A slightly different argument shows that...
    • Общие наблюдения показывают... - It is a matter of common observation that...
    • Один тип... показан на рис. 2. - One type of... is shown in Figure 2.
    • Однако, мы хотим показать, что... - We wish to show, however, that...
    • Однако мы уже показали, что... - But we have already shown that...
    • Однако следующая теорема показывает, что... - The next theorem shows, however, that...
    • Он показал существование глобального по времени решения. - Не showed existence of a global-in-time weak solution.
    • Описанные здесь исследования показывают, что... - The studies described here show that...
    • Исторический опыт показывает, что... - Historical experience shows that...
    • Остается показать, что... - It remains to be shown that...
    • Оценка показывает, что... - It is estimated that...
    • Подобное же рассуждение показывает нам... - A similar argument will show that...
    • Подобные вычисления показывают, что... - Similar computations reveal that...
    • Подобным образом можно показать, что... - In like manner it can be shown that...
    • Подробный вывод показал бы, что... - A detailed derivation would show that...
    • Подстановка этой величины в уравнение (1) показывает, что... - Insertion of this value into equation (1) shows that...
    • Полная теория показывает, что... - Detailed theory shows that...
    • Помимо всего, нам необходимо показать, что... - Above all, we need to show that...
    • Помимо прочих следствий, данный результат показывает, что... - Among other things, this result shows that...
    • Последнее разложение показывает, что... - The latter expansion shows that...
    • Это может быть трудно показать на практике. - In practice this may be difficult to demonstrate.
    • Предварительные результаты показывают, что... - The preliminary results suggest that...
    • Пренебрегая этими эффектами, легко показать, что... - Neglecting these effects it is easy to show that...
    • Приведенный выше пример 2 показывает, что... - Example 2 above shows that...
    • Придерживаясь тех же обозначений, что и в первом параграфе, мы покажем, что... - With the same notation as in Section 1, we shall show that...
    • Применение данного метода показывает... - An application of this process shows...
    • Продолжая действовать так же, как в параграфе 1, мы можем показать, что... - Proceeding as in Section 1, we may show that...
    • Ранее мы показывали, что... - Earlier we showed that...
    • Рассуждение, приведенное в конце последней главы, показывает, что... - The argument at the end of the last chapter shows that...
    • Рассуждения Гильберта относительно этого уравнения показывают, что... - Hilbert's discussion of this equation shows that...
    • Реальные вычисления, однако, показывают, что... - Actual computations show, however, that...
    • Результат показан ниже. - The result is recorded below.
    • С другой стороны, эксперименты показывают, что... - On the other hand, experiments show that...
    • Следующая серия примеров (= иллюстраций) показывает... - The following series of illustrations shows...
    • Следующая теорема позволяет нам показать, что... - The following theorem enables us to show that...
    • Следующие задачи помогут показать, что важность... - The following problems will help show that importance of...
    • Следующие примеры покажут важность данного определения. - Examples will bring out the significance of this definition.
    • Следующий пример показывает, что... - The following example shows that...
    • Следующим шагом мы покажем, что... - Next it will be shown that...
    • Совершенно аналогичным образом можно показать, что... - It can be shown by an exactly similar process that...
    • Сравнение А и В показывает, что... - A comparison of A and В shows that...
    • Сравнение с точным результатом (2) показывает, что... - A comparison with the exact result (2) shows that...
    • Ссылка на уравнение (6) показывает, что... - Reference to equation (6) shows that...
    • Стандартные вычисления показывают, что... - A routine calculation shows that...
    • Таблицы данных показывают, что... - The tables show that...
    • Теоретические соображения показывают, что... - Theoretical considerations show that...
    • Теперь мы покажем, что допустимо (предполагать и т. п.)... - We shall now show that it is permissible to...
    • Термометр показывает 20 градусов ниже нуля. - The thermometer shows/reads 20 degrees below zero.
    • Типичный... показан на рис. 2. - A typical... is shown in Figure 2.
    • То же самое рассуждение показывает, что... - The same reasoning shows that...
    • То же самое рассуждение четко показывает, что... - The same reasoning evidently shows that...
    • То же самое рассуждение, что и выше, показывает, что... - The same argument as above shows that...
    • То, что мы показали, это... - What we have shown is that...
    • Только что проделанные вычисления показывают нам, что... - The result just calculated shows us that...
    • Рис. 2 показывает результаты, полученные... - Fig. 2 shows results obtained for Equation (2.8).
    • Цель заключается в том, чтобы показать, что... - The aim is to show that...
    • Чтобы доказать теорему, достаточно показать, что... - То prove the theorem it is sufficient to show that...
    • Чтобы завершить доказательство, нам остается показать, что... - То complete the proof, we need to demonstrate that...
    • Чтобы показать, что обратное несправедливо, мы должны... - То show that the converse is false, we must...
    • Чтобы показать, что это невозможно, давайте... - То show that this is not possible, let...
    • Чтобы это доказать, нам остается лишь показать, что... - То prove this we need only show that...
    • Эксперимент подтверждает это, однако также
    (= одновременно) показывает, что... - Experiment confirms this but also shows that...
    • Эксперимент показывает, что... - Experiment shows that...; Experiment tells us that...
    • Эксперименты с полупроводниками показывают, что... - Experiments with semiconductors show that...
    • Эти и многие другие примеры показывают, что... - These and many other examples show that...
    • Эти равенства позволяют нам показать, что... - These identities enable us to show that...
    • Эти рассуждения показывают нам, что... - These considerations show us that...
    • Эти результаты ясно показывают, что... - These results clearly show that...
    • Это доказательство легко переделывается для того, чтобы показать, что... - The proof is easily adapted to show that...
    • Это могло бы быть легко показано при использовании условия... - This may be shown readily by employing the condition that...
    • Это можно показать двумя методами. - This can be seen in two ways.
    • Это показывает (одно) важное ограничение (чего-л). - This demonstrates an important limitation of...
    • Это показывает еще раз, что... - This shows once more that...
    • Это показывает, что невозможно... - This shows that it is impossible to...
    • Это простое соотношение немедленно показывает, что... - This simple relation shows immediately that...
    • Это соотношение также показывает, что... - This relation also shows that...
    • Это ясно показано на рис. 1, которая представляет результаты (чего-л). - This is clearly demonstrated in Figure 1 which shows the results of...
    • Этот пример показывает, что может быть необходимым... - This example shows that it may be necessary to...
    • Этот рисунок четко показывает принципиальные различия между... - This figure clearly illustrates the basic differences between...
    • Этот эффект будет обсуждаться в главе 2, где будет показано, что... - This effect will be discussed in Chapter 2, where it will be shown that...

    Русско-английский словарь научного общения > показать

  • 11 исследование исследовани·е

    1) (действие) research (into), investigation (of), study, analysis, examination; (территории, гидросферы) exploration

    организовать / предпринять исследование — to initiate a study

    проводить исследование — to do / to carry out research

    проводить исследования в области чего-л. — to carry out research in the field of / into smth.

    проводить совместные исследования в области изменений глобального климата и окружающей среды — to pursue joint studies in global climate and environmental change

    всестороннее исследование — comprehensive study, thorough examination

    практическое / эмпирическое исследование — empirical study

    подробное исследование — in-depth / thorough study

    тщательное исследование — thorough study / research

    фундаментальные исследования — basic research / studies, fundamental research

    исследование космоса в мирных целях — peaceful exploration of outer space, peaceful space research

    2) (научный труд) work (on), study (of)

    Russian-english dctionary of diplomacy > исследование исследовани·е

  • 12 Crookes, Sir William

    SUBJECT AREA: Electricity
    [br]
    b. 17 June 1832 London, England
    d. 4 April 1919 London, England
    [br]
    English chemist and physicist who carried out studies of electrical discharges and cathode rays in rarefied gases, leading to the development of the cathode ray tube; discoverer of the element thallium and the principle of the Crookes radiometer.
    [br]
    Crookes entered the Royal College of Chemistry at the age of 15, and from 1850 to 1854 held the appointment of Assistant at the college. In 1854 he became Superintendent of the Meteorological Department at the Radcliffe Observatory in Oxford. He moved to a post at the College of Science in Chester the following year. Soon after this he inherited a large fortune and set up his own private laboratory in London. There he studied the nature of electrical discharges in gases at low pressure and discovered the dark space (later named after him) that surrounds the negative electrode, or cathode. He also established that the rays produced in the process (subsequently shown by J.J.Thompson to be a stream of electrons) not only travelled in straight lines, but were also capable of producing heat and/or light upon impact with suitable anode materials. Using a variety of new methods to investigate these "cathode" rays, he applied them to the spectral analysis of compounds of selenium and, as a result, in 1861 he discovered the element thallium, finally establishing its atomic weight in 1873. Following his discovery of thallium, he became involved in two main lines of research: the properties of rarified gases, and the investigation of the elements of the "rare earths". It was also during these experiments that he discovered the principle of the Crookes radiometer, a device in which light is converted into rotational motion and which used to be found frequently in the shop windows of English opticians. Also among the fruits of this work were the Crookes tubes and the development of spectacle lenses with differential ranges of radiational absorption. In the 1870s he became interested in spiritualism and acquired a reputation for his studies of psychic phenomena, but at the turn of the century he returned to traditional scientific investigations. In 1892 he wrote about the possibility of wireless telegraphy. His work in the field of radioactivity led to the invention of the spinthariscope, an early type of detector of alpha particles. In 1900 he undertook investigations into uranium which led to the study of scintillation, an important tool in the study of radioactivity.
    While the theoretical basis of his work has not stood the test of time, his material discoveries, observations and investigations of new facts formed a basis on which others such as J.J. Thomson were to develop subatomic theory. His later involvement in the investigation of spiritualism led to much criticism, but could be justified on the basis of a belief in the duty to investigate all phenomena.
    [br]
    Principal Honours and Distinctions
    Knighted 1897. Order of Merit 1910. FRS 1863. President, Royal Society 1913–15. Honorary LLD Birmingham. Honorary DSc Oxon, Cambridge, Sheffield, Durham, Ireland and Cape of Good Hope.
    Bibliography
    1874, On Attraction and Repulsion Resulting from Radiation.
    1874, "Researches in the phenomenon of spiritualism", Society of Metaphysics; reprinted in facsimile, 1986.
    Further Reading
    E.E.Fournier D'Albe, 1923, Life of Sir William Crookes. Who Was Who II, 1916–28, London: A. \& C. Black. T.I.Williams, 1969, A Biographical Dictionary of Scientists. See also Braun, Karl Ferdinand.
    KF / MG

    Biographical history of technology > Crookes, Sir William

  • 13 на месте

    •

    We found a locally available supply of aggregate.

    •

    On-the-site casting of concrete.

    •

    An on-the-spot investigation was conducted.

    •

    Towers are assembled on the spot by the erecting crew.

    Русско-английский научно-технический словарь переводчика > на месте

  • 14 сводиться к

    •

    Under these conditions Eq. () reduces to α = (+1) + 4bτ1/χ2e.

    •

    The investigation amounts (or boils down) to finding out the causes of...

    •

    The calculation reduces to the solution of the following equation:...

    Русско-английский научно-технический словарь переводчика > сводиться к

  • 15 на месте

    •

    We found a locally available supply of aggregate.

    •

    On-the-site casting of concrete.

    •

    An on-the-spot investigation was conducted.

    •

    Towers are assembled on the spot by the erecting crew.

    * * *
    На месте - al (the) site, on (the) site, in situ, in place, on the spot (на месте использования, эксплуатации); locally (по месту, в месте возникновения чего-либо)
     The fuel processing for the semiclean liquid fuel was off site; the low-Btu gas was produced on site.
     Manufacturers typically recommend on-site replacement of the entire assembly when servicing is necessary.
     The calibration was performed in situ, and under the same conditions of operation that are present when the tests are performed.
     A better procedure is to calibrate in-place or on-line so that stresses and connection errors are acknowledged and eliminated as random, unknown errors.
     So our analyst, with the help of a pool of experts, can frequently restore your terminals on the spot.
     The Model 572 permits sophisticated measurement and control functions, as well as on-the-spot calibration.
     All parameters, except smoke, are recorded locally and are transmitted to the data acquisition system.

    Русско-английский научно-технический словарь переводчика > на месте

  • 16 одной из целей исследования было получение

    Одной из целей исследования было получение-- As one of the aims of the investigation was to provide accurate data for future theoretical analyses.

    Русско-английский научно-технический словарь переводчика > одной из целей исследования было получение

  • 17 пока мало исследован теоретически

    Пока мало исследован теоретически-- This aspect of externally-pressurized air bearing has so far received very little theoretical [...], and practically no experimental, investigation.

    Русско-английский научно-технический словарь переводчика > пока мало исследован теоретически

  • 18 Behaviorism

       A person is changed by the contingencies of reinforcement under which he behaves; he does not store the contingencies. In particular, he does not store copies of the stimuli which have played a part in the contingencies. There are no "iconic representations" in his mind; there are no "data structures stored in his memory"; he has no "cognitive map" of the world in which he has lived. He has simply been changed in such a way that stimuli now control particular kinds of perceptual behavior. (Skinner, 1974, p. 84)
       Psychology as the behaviorist views it is a purely objective natural science. Its theoretical goal is the prediction and control of behavior. Introspection forms no essential part of its method nor is the scientific value of its data dependent upon the readiness with which they lend themselves to interpretation in terms of consciousness. The behaviorist, in his efforts to get a unitary scheme of animal response, recognizes no dividing line between man and brute. The behavior of man, with all its refinement and complexity, forms only a part of the behaviorist's total scheme of investigation. (Watson, quoted in Fancher, 1979, p. 319)

    Historical dictionary of quotations in cognitive science > Behaviorism

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