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1 conceptual knowledge
English-Russian electronics dictionary > conceptual knowledge
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2 conceptual knowledge
The New English-Russian Dictionary of Radio-electronics > conceptual knowledge
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3 knowledge
знание, знания- assertional knowledge
- borrowed knowledge
- casual knowledge
- commonsense knowledge
- compiled knowledge
- conceptual knowledge
- declarative knowledge
- default knowledge
- derived knowledge
- descriptive knowledge
- domain knowledge
- engineered knowledge
- erroneous knowledge
- expert knowledge
- factual knowledge
- framed knowledge
- fundamental knowledge
- fuzzy knowledge
- hardwired knowledge
- heuristic knowledge
- meta-knowledge
- personal knowledge
- piecewise knowledge
- prior knowledge
- prescriptive knowledge
- procedural knowledge
- propositional knowledge
- semantic knowledge
- structured knowledge -
4 knowledge
знание, знания- assertional knowledge
- borrowed knowledge
- casual knowledge
- commonsense knowledge
- compiled knowledge
- conceptual knowledge
- declarative knowledge
- default knowledge
- derived knowledge
- descriptive knowledge
- domain knowledge
- engineered knowledge
- erroneous knowledge
- expert knowledge
- factual knowledge
- framed knowledge
- fundamental knowledge
- fuzzy knowledge
- hardwired knowledge
- heuristic knowledge
- meta-knowledge
- personal knowledge
- piecewise knowledge
- prescriptive knowledge
- prior knowledge
- procedural knowledge
- propositional knowledge
- semantic knowledge
- structured knowledgeThe New English-Russian Dictionary of Radio-electronics > knowledge
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5 knowledge schema
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6 Bibliography
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Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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7 Mind
It becomes, therefore, no inconsiderable part of science... to know the different operations of the mind, to separate them from each other, to class them under their proper heads, and to correct all that seeming disorder in which they lie involved when made the object of reflection and inquiry.... It cannot be doubted that the mind is endowed with several powers and faculties, that these powers are distinct from one another, and that what is really distinct to the immediate perception may be distinguished by reflection and, consequently, that there is a truth and falsehood which lie not beyond the compass of human understanding. (Hume, 1955, p. 22)Let us then suppose the mind to be, as we say, white Paper, void of all Characters, without any Ideas: How comes it to be furnished? Whence comes it by that vast store, which the busy and boundless Fancy of Man has painted on it, with an almost endless variety? Whence has it all the materials of Reason and Knowledge? To this I answer, in one word, from Experience. (Locke, quoted in Herrnstein & Boring, 1965, p. 584)The kind of logic in mythical thought is as rigorous as that of modern science, and... the difference lies, not in the quality of the intellectual process, but in the nature of things to which it is applied.... Man has always been thinking equally well; the improvement lies, not in an alleged progress of man's mind, but in the discovery of new areas to which it may apply its unchanged and unchanging powers. (Leґvi-Strauss, 1963, p. 230)MIND. A mysterious form of matter secreted by the brain. Its chief activity consists in the endeavor to ascertain its own nature, the futility of the attempt being due to the fact that it has nothing but itself to know itself with. (Bierce, quoted in Minsky, 1986, p. 55)[Philosophy] understands the foundations of knowledge and it finds these foundations in a study of man-as-knower, of the "mental processes" or the "activity of representation" which make knowledge possible. To know is to represent accurately what is outside the mind, so to understand the possibility and nature of knowledge is to understand the way in which the mind is able to construct such representation.... We owe the notion of a "theory of knowledge" based on an understanding of "mental processes" to the seventeenth century, and especially to Locke. We owe the notion of "the mind" as a separate entity in which "processes" occur to the same period, and especially to Descartes. We owe the notion of philosophy as a tribunal of pure reason, upholding or denying the claims of the rest of culture, to the eighteenth century and especially to Kant, but this Kantian notion presupposed general assent to Lockean notions of mental processes and Cartesian notions of mental substance. (Rorty, 1979, pp. 3-4)Under pressure from the computer, the question of mind in relation to machine is becoming a central cultural preoccupation. It is becoming for us what sex was to Victorians-threat, obsession, taboo, and fascination. (Turkle, 1984, p. 313)7) Understanding the Mind Remains as Resistant to Neurological as to Cognitive AnalysesRecent years have been exciting for researchers in the brain and cognitive sciences. Both fields have flourished, each spurred on by methodological and conceptual developments, and although understanding the mechanisms of mind is an objective shared by many workers in these areas, their theories and approaches to the problem are vastly different....Early experimental psychologists, such as Wundt and James, were as interested in and knowledgeable about the anatomy and physiology of the nervous system as about the young science of the mind. However, the experimental study of mental processes was short-lived, being eclipsed by the rise of behaviorism early in this century. It was not until the late 1950s that the signs of a new mentalism first appeared in scattered writings of linguists, philosophers, computer enthusiasts, and psychologists.In this new incarnation, the science of mind had a specific mission: to challenge and replace behaviorism. In the meantime, brain science had in many ways become allied with a behaviorist approach.... While behaviorism sought to reduce the mind to statements about bodily action, brain science seeks to explain the mind in terms of physiochemical events occurring in the nervous system. These approaches contrast with contemporary cognitive science, which tries to understand the mind as it is, without any reduction, a view sometimes described as functionalism.The cognitive revolution is now in place. Cognition is the subject of contemporary psychology. This was achieved with little or no talk of neurons, action potentials, and neurotransmitters. Similarly, neuroscience has risen to an esteemed position among the biological sciences without much talk of cognitive processes. Do the fields need each other?... [Y]es because the problem of understanding the mind, unlike the wouldbe problem solvers, respects no disciplinary boundaries. It remains as resistant to neurological as to cognitive analyses. (LeDoux & Hirst, 1986, pp. 1-2)Since the Second World War scientists from different disciplines have turned to the study of the human mind. Computer scientists have tried to emulate its capacity for visual perception. Linguists have struggled with the puzzle of how children acquire language. Ethologists have sought the innate roots of social behaviour. Neurophysiologists have begun to relate the function of nerve cells to complex perceptual and motor processes. Neurologists and neuropsychologists have used the pattern of competence and incompetence of their brain-damaged patients to elucidate the normal workings of the brain. Anthropologists have examined the conceptual structure of cultural practices to advance hypotheses about the basic principles of the mind. These days one meets engineers who work on speech perception, biologists who investigate the mental representation of spatial relations, and physicists who want to understand consciousness. And, of course, psychologists continue to study perception, memory, thought and action.... [W]orkers in many disciplines have converged on a number of central problems and explanatory ideas. They have realized that no single approach is likely to unravel the workings of the mind: it will not give up its secrets to psychology alone; nor is any other isolated discipline-artificial intelligence, linguistics, anthropology, neurophysiology, philosophy-going to have any greater success. (Johnson-Laird, 1988, p. 7)Historical dictionary of quotations in cognitive science > Mind
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8 Cognitive Science
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.... [P]eople and intelligent computers turn out to be merely different manifestations of the same underlying phenomenon. (Haugeland, 1981b, p. 31)2) Experimental Psychology, Theoretical Linguistics, and Computational Simulation of Cognitive Processes Are All Components of Cognitive ScienceI went away from the Symposium with a strong conviction, more intuitive than rational, that human experimental psychology, theoretical linguistics, and computer simulation of cognitive processes were all pieces of a larger whole, and that the future would see progressive elaboration and coordination of their shared concerns.... I have been working toward a cognitive science for about twenty years beginning before I knew what to call it. (G. A. Miller, 1979, p. 9)Cognitive Science studies the nature of cognition in human beings, other animals, and inanimate machines (if such a thing is possible). While computers are helpful within cognitive science, they are not essential to its being. A science of cognition could still be pursued even without these machines.Computer Science studies various kinds of problems and the use of computers to solve them, without concern for the means by which we humans might otherwise resolve them. There could be no computer science if there were no machines of this kind, because they are indispensable to its being. Artificial Intelligence is a special branch of computer science that investigates the extent to which the mental powers of human beings can be captured by means of machines.There could be cognitive science without artificial intelligence but there could be no artificial intelligence without cognitive science. One final caveat: In the case of an emerging new discipline such as cognitive science there is an almost irresistible temptation to identify the discipline itself (as a field of inquiry) with one of the theories that inspired it (such as the computational conception...). This, however, is a mistake. The field of inquiry (or "domain") stands to specific theories as questions stand to possible answers. The computational conception should properly be viewed as a research program in cognitive science, where "research programs" are answers that continue to attract followers. (Fetzer, 1996, pp. xvi-xvii)What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.The psychologist who studies "knowledge systems" wants to know how concepts are structured in the human mind, how such concepts develop, and how they are used in understanding and behavior. The artificial intelligence researcher wants to know how to program a computer so that it can understand and interact with the outside world. The two orientations intersect when the psychologist and the computer scientist agree that the best way to approach the problem of building an intelligent machine is to emulate the human conceptual mechanisms that deal with language.... The name "cognitive science" has been used to refer to this convergence of interests in psychology and artificial intelligence....This working partnership in "cognitive science" does not mean that psychologists and computer scientists are developing a single comprehensive theory in which people are no different from machines. Psychology and artificial intelligence have many points of difference in methods and goals.... We simply want to work on an important area of overlapping interest, namely a theory of knowledge systems. As it turns out, this overlap is substantial. For both people and machines, each in their own way, there is a serious problem in common of making sense out of what they hear, see, or are told about the world. The conceptual apparatus necessary to perform even a partial feat of understanding is formidable and fascinating. (Schank & Abelson, 1977, pp. 1-2)Within the last dozen years a general change in scientific outlook has occurred, consonant with the point of view represented here. One can date the change roughly from 1956: in psychology, by the appearance of Bruner, Goodnow, and Austin's Study of Thinking and George Miller's "The Magical Number Seven"; in linguistics, by Noam Chomsky's "Three Models of Language"; and in computer science, by our own paper on the Logic Theory Machine. (Newell & Simon, 1972, p. 4)Historical dictionary of quotations in cognitive science > Cognitive Science
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9 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 itSolving a problem in practical arithmeticTranslating from one language into anotherLANGUAGE 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 LanguageThe 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 InteractionLanguage 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
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10 Psychology
We come therefore now to that knowledge whereunto the ancient oracle directeth us, which is the knowledge of ourselves; which deserveth the more accurate handling, by how much it toucheth us more nearly. This knowledge, as it is the end and term of natural philosophy in the intention of man, so notwithstanding it is but a portion of natural philosophy in the continent of nature.... [W]e proceed to human philosophy or Humanity, which hath two parts: the one considereth man segregate, or distributively; the other congregate, or in society. So as Human philosophy is either Simple and Particular, or Conjugate and Civil. Humanity Particular consisteth of the same parts whereof man consisteth; that is, of knowledges which respect the Body, and of knowledges that respect the Mind... how the one discloseth the other and how the one worketh upon the other... [:] the one is honored with the inquiry of Aristotle, and the other of Hippocrates. (Bacon, 1878, pp. 236-237)The claims of Psychology to rank as a distinct science are... not smaller but greater than those of any other science. If its phenomena are contemplated objectively, merely as nervo-muscular adjustments by which the higher organisms from moment to moment adapt their actions to environing co-existences and sequences, its degree of specialty, even then, entitles it to a separate place. The moment the element of feeling, or consciousness, is used to interpret nervo-muscular adjustments as thus exhibited in the living beings around, objective Psychology acquires an additional, and quite exceptional, distinction. (Spencer, 1896, p. 141)Kant once declared that psychology was incapable of ever raising itself to the rank of an exact natural science. The reasons that he gives... have often been repeated in later times. In the first place, Kant says, psychology cannot become an exact science because mathematics is inapplicable to the phenomena of the internal sense; the pure internal perception, in which mental phenomena must be constructed,-time,-has but one dimension. In the second place, however, it cannot even become an experimental science, because in it the manifold of internal observation cannot be arbitrarily varied,-still less, another thinking subject be submitted to one's experiments, comformably to the end in view; moreover, the very fact of observation means alteration of the observed object. (Wundt, 1904, p. 6)It is [Gustav] Fechner's service to have found and followed the true way; to have shown us how a "mathematical psychology" may, within certain limits, be realized in practice.... He was the first to show how Herbart's idea of an "exact psychology" might be turned to practical account. (Wundt, 1904, pp. 6-7)"Mind," "intellect," "reason," "understanding," etc. are concepts... that existed before the advent of any scientific psychology. The fact that the naive consciousness always and everywhere points to internal experience as a special source of knowledge, may, therefore, be accepted for the moment as sufficient testimony to the rights of psychology as science.... "Mind," will accordingly be the subject, to which we attribute all the separate facts of internal observation as predicates. The subject itself is determined p. 17) wholly and exclusively by its predicates. (Wundt, 1904,The study of animal psychology may be approached from two different points of view. We may set out from the notion of a kind of comparative physiology of mind, a universal history of the development of mental life in the organic world. Or we may make human psychology the principal object of investigation. Then, the expressions of mental life in animals will be taken into account only so far as they throw light upon the evolution of consciousness in man.... Human psychology... may confine itself altogether to man, and generally has done so to far too great an extent. There are plenty of psychological text-books from which you would hardly gather that there was any other conscious life than the human. (Wundt, 1907, pp. 340-341)The Behaviorist began his own formulation of the problem of psychology by sweeping aside all medieval conceptions. He dropped from his scientific vocabulary all subjective terms such as sensation, perception, image, desire, purpose, and even thinking and emotion as they were subjectively defined. (Watson, 1930, pp. 5-6)According to the medieval classification of the sciences, psychology is merely a chapter of special physics, although the most important chapter; for man is a microcosm; he is the central figure of the universe. (deWulf, 1956, p. 125)At the beginning of this century the prevailing thesis in psychology was Associationism.... Behavior proceeded by the stream of associations: each association produced its successors, and acquired new attachments with the sensations arriving from the environment.In the first decade of the century a reaction developed to this doctrine through the work of the Wurzburg school. Rejecting the notion of a completely self-determining stream of associations, it introduced the task ( Aufgabe) as a necessary factor in describing the process of thinking. The task gave direction to thought. A noteworthy innovation of the Wurzburg school was the use of systematic introspection to shed light on the thinking process and the contents of consciousness. The result was a blend of mechanics and phenomenalism, which gave rise in turn to two divergent antitheses, Behaviorism and the Gestalt movement. The behavioristic reaction insisted that introspection was a highly unstable, subjective procedure.... Behaviorism reformulated the task of psychology as one of explaining the response of organisms as a function of the stimuli impinging upon them and measuring both objectively. However, Behaviorism accepted, and indeed reinforced, the mechanistic assumption that the connections between stimulus and response were formed and maintained as simple, determinate functions of the environment.The Gestalt reaction took an opposite turn. It rejected the mechanistic nature of the associationist doctrine but maintained the value of phenomenal observation. In many ways it continued the Wurzburg school's insistence that thinking was more than association-thinking has direction given to it by the task or by the set of the subject. Gestalt psychology elaborated this doctrine in genuinely new ways in terms of holistic principles of organization.Today psychology lives in a state of relatively stable tension between the poles of Behaviorism and Gestalt psychology.... (Newell & Simon, 1963, pp. 279-280)As I examine the fate of our oppositions, looking at those already in existence as guide to how they fare and shape the course of science, it seems to me that clarity is never achieved. Matters simply become muddier and muddier as we go down through time. Thus, far from providing the rungs of a ladder by which psychology gradually climbs to clarity, this form of conceptual structure leads rather to an ever increasing pile of issues, which we weary of or become diverted from, but never really settle. (Newell, 1973b, pp. 288-289)The subject matter of psychology is as old as reflection. Its broad practical aims are as dated as human societies. Human beings, in any period, have not been indifferent to the validity of their knowledge, unconcerned with the causes of their behavior or that of their prey and predators. Our distant ancestors, no less than we, wrestled with the problems of social organization, child rearing, competition, authority, individual differences, personal safety. Solving these problems required insights-no matter how untutored-into the psychological dimensions of life. Thus, if we are to follow the convention of treating psychology as a young discipline, we must have in mind something other than its subject matter. We must mean that it is young in the sense that physics was young at the time of Archimedes or in the sense that geometry was "founded" by Euclid and "fathered" by Thales. Sailing vessels were launched long before Archimedes discovered the laws of bouyancy [ sic], and pillars of identical circumference were constructed before anyone knew that C IID. We do not consider the ship builders and stone cutters of antiquity physicists and geometers. Nor were the ancient cave dwellers psychologists merely because they rewarded the good conduct of their children. The archives of folk wisdom contain a remarkable collection of achievements, but craft-no matter how perfected-is not science, nor is a litany of successful accidents a discipline. If psychology is young, it is young as a scientific discipline but it is far from clear that psychology has attained this status. (Robinson, 1986, p. 12)Historical dictionary of quotations in cognitive science > Psychology
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11 Logic
My initial step... was to attempt to reduce the concept of ordering in a sequence to that of logical consequence, so as to proceed from there to the concept of number. To prevent anything intuitive from penetrating here unnoticed, I had to bend every effort to keep the chain of inference free of gaps. In attempting to comply with this requirement in the strictest possible way, I found the inadequacy of language to be an obstacle. (Frege, 1972, p. 104)I believe I can make the relation of my 'conceptual notation' to ordinary language clearest if I compare it to the relation of the microscope to the eye. The latter, because of the range of its applicability and because of the ease with which it can adapt itself to the most varied circumstances, has a great superiority over the microscope. Of course, viewed as an optical instrument it reveals many imperfections, which usually remain unnoticed only because of its intimate connection with mental life. But as soon as scientific purposes place strong requirements upon sharpness of resolution, the eye proves to be inadequate.... Similarly, this 'conceptual notation' is devised for particular scientific purposes; and therefore one may not condemn it because it is useless for other purposes. (Frege, 1972, pp. 104-105)To sum up briefly, it is the business of the logician to conduct an unceasing struggle against psychology and those parts of language and grammar which fail to give untrammeled expression to what is logical. He does not have to answer the question: How does thinking normally take place in human beings? What course does it naturally follow in the human mind? What is natural to one person may well be unnatural to another. (Frege, 1979, pp. 6-7)We are very dependent on external aids in our thinking, and there is no doubt that the language of everyday life-so far, at least, as a certain area of discourse is concerned-had first to be replaced by a more sophisticated instrument, before certain distinctions could be noticed. But so far the academic world has, for the most part, disdained to master this instrument. (Frege, 1979, pp. 6-7)There is no reproach the logician need fear less than the reproach that his way of formulating things is unnatural.... If we were to heed those who object that logic is unnatural, we would run the risk of becoming embroiled in interminable disputes about what is natural, disputes which are quite incapable of being resolved within the province of logic. (Frege, 1979, p. 128)[L]inguists will be forced, internally as it were, to come to grips with the results of modern logic. Indeed, this is apparently already happening to some extent. By "logic" is not meant here recursive function-theory, California model-theory, constructive proof-theory, or even axiomatic settheory. Such areas may or may not be useful for linguistics. Rather under "logic" are included our good old friends, the homely locutions "and," "or," "if-then," "if and only if," "not," "for all x," "for some x," and "is identical with," plus the calculus of individuals, event-logic, syntax, denotational semantics, and... various parts of pragmatics.... It is to these that the linguist can most profitably turn for help. These are his tools. And they are "clean tools," to borrow a phrase of the late J. L. Austin in another context, in fact, the only really clean ones we have, so that we might as well use them as much as we can. But they constitute only what may be called "baby logic." Baby logic is to the linguist what "baby mathematics" (in the phrase of Murray Gell-Mann) is to the theoretical physicist-very elementary but indispensable domains of theory in both cases. (Martin, 1969, pp. 261-262)There appears to be no branch of deductive inference that requires us to assume the existence of a mental logic in order to do justice to the psychological phenomena. To be logical, an individual requires, not formal rules of inference, but a tacit knowledge of the fundamental semantic principle governing any inference; a deduction is valid provided that there is no way of interpreting the premises correctly that is inconsistent with the conclusion. Logic provides a systematic method for searching for such counter-examples. The empirical evidence suggests that ordinary individuals possess no such methods. (Johnson-Laird, quoted in Mehler, Walker & Garrett, 1982, p. 130)The fundamental paradox of logic [that "there is no class (as a totality) of those classes which, each taken as a totality, do not belong to themselves" (Russell to Frege, 16 June 1902, in van Heijenoort, 1967, p. 125)] is with us still, bequeathed by Russell-by way of philosophy, mathematics, and even computer science-to the whole of twentieth-century thought. Twentieth-century philosophy would begin not with a foundation for logic, as Russell had hoped in 1900, but with the discovery in 1901 that no such foundation can be laid. (Everdell, 1997, p. 184)Historical dictionary of quotations in cognitive science > Logic
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12 model
ˈmɔdl
1. сущ.
1) а) модель;
макет (уменьшенная копия чего-л.) a ship model ≈ модель корабля Syn: small-scale reproduction б) модель, шаблон clay models for a statue ≈ модели из глины для статуи
2) модель (идеализированное или упрощенное описание чего-л.) mathematical model ≈ математическая модель model of economy ≈ модель экономики production model ≈ модель производства
3) а) образец, эталон to pose as a model ≈ выдавать за образец to serve as a model ≈ служить образцом to take as a model ≈ брать за образец a model of politeness ≈ образец вежливости role model ≈ образец для подражания Syn: standard
1., ideal
1. б) биол. модель (организм, которому подражают в мимикрии)
4) а) натурщик, натурщица artist's model ≈ натурщица художника photographer's model ≈ модель фотографа б) манекенщик, манекенщица в) эвф. проститутка
5) тип, марка, модель Model T ≈ первые марки автомобилей, выпущенных фирмой Форда Syn: make, design
1.
2. гл.
1) лепить to model a cat in clay ≈ лепить кошку из глины Syn: fashion
2.
2) моделировать( систему и т. п.) to model the circulation in the atmosphere ≈ моделировать движение воздушных масс to model the urban system ≈ моделировать городскую систему
3) а) создавать, конструировать (на основе каких-л. принципов и т. п.) б) делать по образцу( чего-л.;
after, on) a sports car modeled on a racing car ≈ спортивный автомобиль, сделанный по образцу гоночного Syn: pattern after
4) а) позировать, работать натурщиком, натурщицей to model for an artist ≈ позировать художнику б) демонстрировать модели (о манекенщицах)
3. прил.
1) образцовый, примерный As a girl she has been a model pupil. ≈ В детстве она была примерной ученицей. Hospital staff say he is a model patient. ≈ Весь персонал больницы утверждает, что он идеальный пациент.
2) являющийся моделью the collecting of model soldiers ≈ коллекционирование солдатиков, являющихся копией настоящих солдат модель, макет - working * действующая модель - a * of a monument макет памятника - plane * модель самолета модель, образец;
слепок, шаблон - constructed after * сконструировано по образцу /по шаблону/ - he made each box on the * of the first он сделал все коробки по образцу первой модель, фасон - the latest Paris *s новейшие /последние/ парижские модели - * frock модель платья образец - a * of virtue образец добродетели - on the * of smb., smth. по образцу /по примеру/ кого-л., чего-л. - to take smb. as one's * взять кого-л. за образец - * behaviour образцовое /примерное/ поведение - * farm образцовая ферма - * husband идеальный муж модель, тип, марка конструкции - the latest *s of cars последние модели автомобилей - a sports * спортивная модель (автомобиля) (диалектизм) точная копия - she is a perfect /the very/ * of her mother она точная копия своей матери натурщик;
натурщица - I worked as a photographer's * меня снимали для журнала, я работала фотомоделью манекенщица (для демонстрации моделей одежды) ;
манекенщик (тж. male *) манекен (эвфмеизм) проститутка, приходящая по вызову делать, создавать модель или макет;
моделировать;
лепить - to * ships делать модели кораблей - to * dresses работать модельером, создавать модели /фасоны/ платьев - to * smth. in clay вылепить что-л. из глины - he *led her head in wax он сделал восковую модель ее головы (техническое) формовать делать, создавать по образцу;
следовать образцу - his work is *led on /upon, after/ the Spanish в своих произведениях он использовал испанские образцы;
в своих произведениях он следовал /подражал/ испанским образцам - to * oneself on /upon, after/ smb. подражать кому-л., брать пример с кого-л. (в своем поведении) - he *led his behaviour on that of his father в своем поведении он подражал отцу /следовал примеру отца/ быть натурщиком, натурщицей, живой моделью быть манекенщицей - she *s for a living она работает манекенщицей, она зарабатывает на жизнь, демонстрируя модели одежды - she *led dresses она демонстрировала платья abstract ~ абстрактная модель abstract ~ building вчт. абстрактное моделирование allocation ~ модель распределения analytical ~ аналитическая модель associative ~ ассоциативная модель autonomous ~ автономная модель autoregressive ~ авторегрессионная модель backlogging ~ модель с задалживанием роста заказов battle ~ модель боя behavioral ~ модель поведения binomial ~ биномиальная модель binomial ~ биномиальное распределение clay-clay ~ жесткая модель closed ~ замкнутая модель coalition ~ модель коалиции cobweb ~ паутинообразная модель cognitive ~ когнитивная модель communication ~ модель общения computational ~ вычислительная модель computer ~ машинная модель conceptual ~ концептуальная модель cyclic queueing ~ вчт. циклическая модель массового обслуживания data ~ вчт. модель данных decision ~ модель принятия решений decision-theory ~ модель выбора решений decision-theory ~ модель принятия решений double-risk ~ модель с двойным риском dynamic ~ динамическая модель dynamic programming ~ вчт. модель динамического программирования econometric ~ эконометрическая модель entity-relationship ~ модель типа объект-отношение equilibrium ~ модель равновесия estimation ~ модель оценивания explaining ~ поясняющая модель finite-horizon ~ модель с конечным интервалом fixed-horizon ~ модель с постоянным интервалом fixed-service-level ~ модель с фиксированным уровнем обслуживания formal ~ формальная модель game ~ игровая модель game-theory ~ теоретико-игровая модель general duel ~ общая модель дуэли generalized ~ обобщенная модель generic ~ типовая модель global ~ глобальная модель imaging ~ модель изображений interindustry programming ~ вчт. межотраслевая модель программирования interruption ~ модель с возможностью прерывания обслуживания knowledge ~ вчт. модель знаний labyrinth ~ лабиринтная модель language ~ модель языка learning ~ модель обучения linear ~ линейная модель linear programming ~ модель линейного программирования linear regressive ~ линейный регрессионная модель linguistic ~ лингвистическая модель logical ~ логическая модель logical-linguistic ~ логико-лингвистическая модель macrosectoral ~ макроотраслевая модель many-server ~ вчт. многоканальная модель master-workers ~ модель хозяин-работники matrix ~ матричная модель model быть натурщиком, натурщицей, живой моделью, манекенщицей ~ живая модель (в магазине одежды) ~ макет ~ манекен ~ моделировать;
лепить ~ модель, макет;
шаблон ~ модель ~ натурщик;
натурщица ~ образец, эталон ~ образец ~ attr. образцовый, примерный ~ оформлять ~ примерный, типовой( о конвенции, уставе и т.д.) ~ создавать по образцу (чего-л.;
after, on) ;
to model oneself ((up) on smb.) брать (кого-л.) за образец ~ тип ~ разг. точная копия ~ тех. формировать ~ шаблон ~ создавать по образцу (чего-л.;
after, on) ;
to model oneself ((up) on smb.) брать (кого-л.) за образец moving-average ~ модель скользящего среднего multichannel priority ~ вчт. многоканальная модель с приоритетами multifactor ~ многофакторная модель multiple ~ многоуровневая модель multistation queueing ~ вчт. многоканальная модель обслуживания network ~ сетевая модель no-backlog ~ модель без задалживания заказов no-queue ~ модель без образования очереди non-poisson ~ непуассоновская модель one-factor ~ однофакторная модель one-period ~ однопериодная модель open ~ открытая модель open ~ разомкнутая модель operations research ~ модель исследования операций phenomenological ~ феноменологическая модель pictorial ~ графическая модель pilot ~ опытный образец pilot: ~ plant опытный завод, опытная установка;
pilot model опытная модель poisson ~ пуассоновская модель predicitive ~ прогнозирующая модель preference ~ модель предпочтений priority ~ модель с приоритетами probability ~ вероятностная модель probability ~ стохастическая модель production ~ производственная модель prognostic ~ прогностическая модель queueing ~ модель массового обслуживания queueing ~ модель очереди random ~ вероятностная модель random ~ стохастическая модель reduced ~ упрощенная модель regression ~ регрессионная модель relational ~ реляционная модель scaling ~ шкальная модель security ~ модель механизма защиты semi-poisson ~ полупуассоновская модель shortest-route ~ модель выбора кратчайшего пути sign ~ знаковая модель simplex ~ симплексная модель simulation ~ имитационная модель single-channel ~ одноканальная модель single-period ~ однопериодная модель single-phase ~ однофазовая модель single-server ~ одноканальная модель singular ~ одноуровневая модель software ~ вчт. программная модель solid ~ объемная модель sophisticated ~ усложненная модель standard ~ типовая модель static equilibrium ~ модель статического равновесия static inventory ~ статическая модель управления запасами static ~ статическая модель station-to-station ~ многошаговая модель stochastic ~ вероятностная модель teaching ~ учебная модель (машины, оборудования) three-dimensional ~ трехмерная модель transportation ~ транспортная задача transshipment ~ модель перевозок с промежуточными пунктами trend-free ~ модель с отсутствием тренда trial ~ испытательный образец trial ~ пробный образец two-echelon ~ двухступенчатая модель two-state ~ модель с двумя состояниями user ~ модель пользователя waiting line ~ модель очереди wire-frame ~ каркасная модель world decision ~ всеобщая модель решений world ~ модель мира -
13 scheme
Syn: scheme -
14 modeling
1) моделирование (1. создание упрощённого представления объекта, процесса или явления; использование структурной аналогии 2. макетирование 3. создание образца, эталона или шаблона 4. использование примера; отнесение к определённому типу) || модельный (1. относящийся к упрощённому представлению объекта, процесса или явления; использующий структурную аналогию 2. макетный 3. образцовый; эталонный; шаблонный 4. примерный; типовой)3) создание по образцу, эталону или шаблону4) следование определённому стилю или выбранному дизайну•- modeling of consciousness
- modeling of database
- analog modeling
- analytical modeling
- causal modeling
- cognitive modeling
- computer modeling
- computer-aided modeling
- conceptual data modeling
- data modeling
- date modeling
- deterministic modeling
- digital modeling
- dynamic modeling
- empirical modeling
- functional modeling
- fuzzy modeling
- gaming modeling
- geometrical modeling
- hardware modeling
- heuristic modeling
- hidden Markov modeling
- hierarchical modeling
- high-level modeling
- information system modeling
- interconnect modeling
- knowledge modeling
- logic modeling
- long-term correlations modeling
- machine modeling
- magnetic hysteresis modeling
- mathematical modeling
- matrix modeling
- Monte Carlo modeling
- network modeling
- neurofuzzy adaptive modeling
- neuron network modeling
- numerical modeling
- object-oriented modeling
- on-line modeling
- physical modeling
- quasi-multidimensional modeling
- scale modeling
- simulation modeling
- smart modeling
- software modeling
- solid modeling
- solution-based modeling
- stochastic modeling
- surface modeling
- symbolic modeling
- synergetic modeling
- system modeling
- system-on-a-chip modeling
- virtual reality modeling
- visual interactive modeling -
15 modeling
1) моделирование (1. создание упрощённого представления объекта, процесса или явления; использование структурной аналогии 2. макетирование 3. создание образца, эталона или шаблона 4. использование примера; отнесение к определённому типу) || модельный (1. относящийся к упрощённому представлению объекта, процесса или явления; использующий структурную аналогию 2. макетный 3. образцовый; эталонный; шаблонный 4. примерный; типовой)3) создание по образцу, эталону или шаблону4) следование определённому стилю или выбранному дизайну•- analytical modeling
- causal modeling
- cognitive modeling
- computer modeling
- computer-aided modeling
- conceptual data modeling
- data modeling
- date modeling
- deterministic modeling
- digital modeling
- dynamic modeling
- empirical modeling
- functional modeling
- fuzzy modeling
- gaming modeling
- geometrical modeling
- hardware modeling
- heuristic modeling
- hidden Markov modeling
- hierarchical modeling
- high-level modeling
- information system modeling
- interconnect modeling
- knowledge modeling
- logic modeling
- long-term correlations modeling
- machine modeling
- magnetic hysteresis modeling
- mathematical modeling
- matrix modeling
- modeling of application domain
- modeling of consciousness
- modeling of database
- Monte Carlo modeling
- network modeling
- neurofuzzy adaptive modeling
- neuron network modeling
- numerical modeling
- object-oriented modeling
- on-line modeling
- physical modeling
- quasi-multidimensional modeling
- scale modeling
- simulation modeling
- smart modeling
- software modeling
- solid modeling
- solution-based modeling
- stochastic modeling
- surface modeling
- symbolic modeling
- synergetic modeling
- system modeling
- system-on-a-chip modeling
- virtual reality modeling
- visual interactive modelingThe New English-Russian Dictionary of Radio-electronics > modeling
-
16 model
1) модель; модификация2) модель (образец; уменьшенная, упрощенная копия)3) модель (абстрактная схема; концепция)•- access control model
- adaptive model
- aggregated model
- algoristic-type model
- allocation model
- analytical model
- ANOVA model
- behavioral model
- birth-death model
- block-diagram model - capability maturity model
- cascade-based model
- causal model
- client/server model
- client-component model
- client-server model
- cognitive model
- computer model
- conceptual model
- controllable model
- correlative model
- cost estimation model
- crude model
- cybernetic model
- data model
- decision-theoretic model
- decision-tree model
- descriptive model
- design model
- desk model
- deterministic model - domain semantic model
- dynamic programming model
- E/R model
- econometric model
- elaborate model
- elemental-equivalent model
- entity set model
- entity-relationship model
- equilibrium model
- estimation model
- exhaustive fault model
- exogenous priority model
- external model
- fault model
- fault-effect model
- finite element model
- fixed cascade delay model
- fixed gate delay model
- flow-oriented model
- forecasting model
- formal model
- frame-based model
- functional model
- gaming model
- gate-based model
- gate-level model
- generalized model
- generic model
- geometrical model
- graph model
- hardware model
- hazard function model
- hazard model
- heuristic model
- hierarchical model
- iconographic model
- internal model
- layout model
- level-based model
- linear programming model
- linear word-level model
- many-server model
- mental model
- MILP model
- model of calculation
- model of knowledge
- Monte-Carlo model
- multiple model
- multivariate model
- network model
- object model
- object-centric model
- OSI reference model
- pandemonium model
- performance-based model
- phenomenological model
- pictorial model
- pilot model
- pin fault model
- predictive model
- preemptive model
- preliminary model
- preproduction model
- priority model
- probabilistic model
- problem model - quantitative model
- queueing model
- real world model
- relational model
- relative model
- reliability model
- role-playing model
- scaling model
- scheduling model
- security model
- semi-Markov model
- seven-layer model
- shaded model
- simplified model
- simulation model
- single-stuck fault model
- singular model
- software model
- solid model
- sophisticated model
- state-space model
- statistical model
- stochastic model
- stream of characters model
- structural model
- stuck-at model
- suspect/monitor model
- symbolic model
- table model
- task-network model
- timing model
- transformational model
- typewriter model
- vocal-tract model
- waiting line model
- waterfall model
- wire-frame model
- word-level model
- world modelEnglish-Russian dictionary of computer science and programming > model
-
17 schema
схема ( логическая структура в базах данных) (см. тж scheme)- conceptual schema
- external schema
- federated schema
- internal schema
- knowledge schema
- multilevel schema
- relation schema
- representational schema
- storage schema
- unified schemaEnglish-Russian dictionary of computer science and programming > schema
-
18 model
[ˈmɔdl]abstract model абстрактная модель abstract model building вчт. абстрактное моделирование allocation model модель распределения analytical model аналитическая модель associative model ассоциативная модель autonomous model автономная модель autoregressive model авторегрессионная модель backlogging model модель с задалживанием роста заказов battle model модель боя behavioral model модель поведения binomial model биномиальная модель binomial model биномиальное распределение clay-clay model жесткая модель closed model замкнутая модель coalition model модель коалиции cobweb model паутинообразная модель cognitive model когнитивная модель communication model модель общения computational model вычислительная модель computer model машинная модель conceptual model концептуальная модель cyclic queueing model вчт. циклическая модель массового обслуживания data model вчт. модель данных decision model модель принятия решений decision-theory model модель выбора решений decision-theory model модель принятия решений double-risk model модель с двойным риском dynamic model динамическая модель dynamic programming model вчт. модель динамического программирования econometric model эконометрическая модель entity-relationship model модель типа объект-отношение equilibrium model модель равновесия estimation model модель оценивания explaining model поясняющая модель finite-horizon model модель с конечным интервалом fixed-horizon model модель с постоянным интервалом fixed-service-level model модель с фиксированным уровнем обслуживания formal model формальная модель game model игровая модель game-theory model теоретико-игровая модель general duel model общая модель дуэли generalized model обобщенная модель generic model типовая модель global model глобальная модель imaging model модель изображений interindustry programming model вчт. межотраслевая модель программирования interruption model модель с возможностью прерывания обслуживания knowledge model вчт. модель знаний labyrinth model лабиринтная модель language model модель языка learning model модель обучения linear model линейная модель linear programming model модель линейного программирования linear regressive model линейный регрессионная модель linguistic model лингвистическая модель logical model логическая модель logical-linguistic model логико-лингвистическая модель macrosectoral model макроотраслевая модель many-server model вчт. многоканальная модель master-workers model модель хозяин-работники matrix model матричная модель model быть натурщиком, натурщицей, живой моделью, манекенщицей model живая модель (в магазине одежды) model макет model манекен model моделировать; лепить model модель, макет; шаблон model модель model натурщик; натурщица model образец, эталон model образец model attr. образцовый, примерный model оформлять model примерный, типовой (о конвенции, уставе и т.д.) model создавать по образцу (чего-л.; after, on); to model oneself ((up)on smb.) брать (кого-л.) за образец model тип model разг. точная копия model тех. формировать model шаблон model создавать по образцу (чего-л.; after, on); to model oneself ((up)on smb.) брать (кого-л.) за образец moving-average model модель скользящего среднего multichannel priority model вчт. многоканальная модель с приоритетами multifactor model многофакторная модель multiple model многоуровневая модель multistation queueing model вчт. многоканальная модель обслуживания network model сетевая модель no-backlog model модель без задалживания заказов no-queue model модель без образования очереди non-poisson model непуассоновская модель one-factor model однофакторная модель one-period model однопериодная модель open model открытая модель open model разомкнутая модель operations research model модель исследования операций phenomenological model феноменологическая модель pictorial model графическая модель pilot model опытный образец pilot: model plant опытный завод, опытная установка; pilot model опытная модель poisson model пуассоновская модель predicitive model прогнозирующая модель preference model модель предпочтений priority model модель с приоритетами probability model вероятностная модель probability model стохастическая модель production model производственная модель prognostic model прогностическая модель queueing model модель массового обслуживания queueing model модель очереди random model вероятностная модель random model стохастическая модель reduced model упрощенная модель regression model регрессионная модель relational model реляционная модель scaling model шкальная модель security model модель механизма защиты semi-poisson model полупуассоновская модель shortest-route model модель выбора кратчайшего пути sign model знаковая модель simplex model симплексная модель simulation model имитационная модель single-channel model одноканальная модель single-period model однопериодная модель single-phase model однофазовая модель single-server model одноканальная модель singular model одноуровневая модель software model вчт. программная модель solid model объемная модель sophisticated model усложненная модель standard model типовая модель static equilibrium model модель статического равновесия static inventory model статическая модель управления запасами static model статическая модель station-to-station model многошаговая модель stochastic model вероятностная модель teaching model учебная модель (машины, оборудования) three-dimensional model трехмерная модель transportation model транспортная задача transshipment model модель перевозок с промежуточными пунктами trend-free model модель с отсутствием тренда trial model испытательный образец trial model пробный образец two-echelon model двухступенчатая модель two-state model модель с двумя состояниями user model модель пользователя waiting line model модель очереди wire-frame model каркасная модель world decision model всеобщая модель решений world model модель мира -
19 Schemata
Once we have accepted a configuration of schemata, the schemata themselves provide a richness that goes far beyond our observations.... In fact, once we have determined that a particular schema accounts for some event, we may not be able to determine which aspects of our beliefs are based on direct sensory information and which are merely consequences of our interpretation. (Rumelhart, 1980, p. 38)Through most of its history, the notion of the schema has been rejected by mainstream experimental psychologists as being too vague. As a result, the concept of the schema was largely shunned until the mid-1970s. The concept was then revived by an attempt to offer more clearly specified interpretation of the schema in terms of explicitly specified computer implementations or, similarly, formally specified implementations of the concept. Thus, Minsky (1975) postulated the concept of the frame, Schank and Abelson (1977) focused on the concept of the script, and Bobrow and Norman (1975) and Rumelhart (1975) developed an explicit notion of the schema. Although the details differed in each case, the idea was essentially the same.... Minsky and the others argued that some higher-level "suprasentential" or, more simply, conceptual structure is needed to represent the complex relations implicit in our knowledge base. The basic idea is that schemata are data structures for representing the generic concepts stored in memory. There are schemata for generalized concepts underlying objects, situations, events, sequences of events, actions, and sequences of actions. Roughly, schemata are like models of the outside world. To process information with the use of a schema is to determine which model best fits the incoming information. Ultimately, consistent configurations of schemata are discovered which, in concert, offer the best account for the input. This configuration of schemata together constitutes the interpretation of the input. (Rumelhart, Smolensky, McClelland & Hinton, 1986, pp. 17-18)Historical dictionary of quotations in cognitive science > Schemata
См. также в других словарях:
Conceptual change — is the process whereby concepts and relationships between them change over the course of an individual person’s lifetime or over the course of history. Research in three different fields – cognitive developmental psychology, science education,… … Wikipedia
Conceptual graph — Conceptual graphs (CGs) are a formalism for knowledge representation. In the first published paper on CGs, John F. Sowa (Sowa 1976) used them to represent the conceptual schemas used in database systems. The first book on CGs (Sowa 1984) applied… … Wikipedia
Conceptual clustering — is a machine learning paradigm for unsupervised classification developed mainly during the 1980s. It is distinguished from ordinary data clustering by generating a concept description for each generated class. Most conceptual clustering methods… … Wikipedia
Knowledge Management — (KM) comprises a range of practices used by organisations to identify, create, represent, distribute and enable adoption of what it knows, and how it knows it. It has been an established discipline since 1995 [Stankosky, 2005] with a body of… … Wikipedia
Knowledge transfer — in the fields of organizational development and organizational learning is the practical problem of transferring knowledge from one part of the organization to another (or all other) parts of the organization. Like Knowledge Management, Knowledge … Wikipedia
Knowledge management — (KM) comprises a range of strategies and practices used in an organization to identify, create, represent, distribute, and enable adoption of insights and experiences. Such insights and experiences comprise knowledge, either embodied in… … Wikipedia
Knowledge building — theory was created and developed by Carl Bereiter and Marlene Scardamalia in order to describe what a community of learners need to accomplish in order to create knowledge. The theory address the need to educate people for the knowledge age… … Wikipedia
Knowledge Science — is the discipline of understanding the mechanics through which humans and software based machines know, learn, change, and adapt their own behaviors. Throughout recorded history, knowledge has been made explicit through symbols, text and graphics … Wikipedia
Conceptual dependency theory — is a model of natural language understanding used in artificial intelligence systems. Roger Schank at Stanford University introduced the model in 1969, in the early days of artificial intelligence.[1] This model was extensively used by Schank s… … Wikipedia
Knowledge Discovery Metamodel — (KDM) is publicly available specification from the Object Management Group (OMG). KDM is a common intermediate representation for existing software systems and their operating environments, that defines common metadata required for deep semantic… … Wikipedia
Conceptual economy — Infosys Bangalore, driving outsourcing to India Conceptual economy is a term describing the contribution of creativity, innovation, and design skills to economic competitiveness, especially in the global context. Con … Wikipedia
