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1 information psychology
Автоматика: информационная психологияУниверсальный англо-русский словарь > information psychology
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2 information psychology
English-Russian dictionary of mechanical engineering and automation > information psychology
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3 information psychology
Англо-русский словарь по психоаналитике > information psychology
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4 information psychology
• информационна психологияEnglish-Bulgarian polytechnical dictionary > information psychology
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5 psychology
English-Russian dictionary of mechanical engineering and automation > psychology
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6 information test
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7 Information Processing
The term "information processing" originated in the late fifties in the computer field as a general descriptive term that seemed somewhat less contingent and parochial than "computer science," which also came into use during the same period. Thus, it was the name of choice for two of the encompassing professional organizations formed at the time: the In ternational Federation of Information Processing Societies and the American Federation of Information Processing Societies. Although the transfer of the phrase from activities of computers to parallel activities of human beings undoubtedly occurred independently in a number of heads, the term was originally identified pretty closely with computer simulation of cognitive processes... ; that is, with the kind of effort from which arose the theory in this book. (Newell & Simon, 1972, p. 888)It was because the activities of the computer itself seemed in some ways akin to cognitive processes. Computers accept information, manipulate symbols, store items in "memory" and retrieve them again, classify inputs, recognize patterns and so on.... Indeed the assumptions that underlie most contemporary work on information processing are surprisingly like those of nineteenth century introspective psychology, though without introspection itself. (Neisser, 1976, pp. 5, 7)The processor was assumed to be rational, and attention was directed to the logical nature of problem solving strategies. The "mature western mind" was presumed to be one that, in abstracting knowledge from the idosyncracies of particular everyday experience, employed Aristotelian laws of logic. When applied to categories, this meant that to know a category was to have an abstracted clear-cut, necessary, and sufficient criteria for category membership. If other thought processes, such as imagery, ostensive definition, reasoning by analogy to particular instances, or the use of metaphors were considered at all, they were usually relegated to lesser beings such as women, children, primitive people, or even to nonhumans. (Rosch & Lloyd, 1978, p. 2)Historical dictionary of quotations in cognitive science > Information Processing
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8 Cognitive Psychology
The basic reason for studying cognitive processes has become as clear as the reason for studying anything else: because they are there. Our knowledge of the world must be somehow developed from stimulus input.... Cognitive processes surely exist, so it can hardly be unscientific to study them. (Neisser, 1967, p. 5).The task of the cognitive psychologist is a highly inferential one. The cognitive psychologist must proceed from observations of the behavior of humans performing intellectual tasks to conclusions about the abstract mechanisms underlying the behavior. Developing a theory in cognitive psychology is much like developing a model for the working of the engine of a strange new vehicle by driving the vehicle, being unable to open it up to inspect the engine itself....It is well understood from the automata theory... that many different mechanisms can generate the same external behavior. (Anderson, 1980, pp. 12, 17)[Cognitive psychology does not] deal with whole people but with a very special and bizarre-almost Frankensteinian-preparation, which consists of a brain attached to two eyes, two ears, and two index fingers. This preparation is only to be found inside small, gloomy cubicles, outside which red lights burn to warn ordinary people away.... It does not feel hungry or tired or inquisitive; it does not think extraneous thoughts or try to understand what is going on. It is, in short, a computer, made in the image of the larger electronic organism that sends it stimuli and records its responses. (Claxton, 1980, p. 13)4) Cognitive Psychology Has Not Succeeded in Making a Significant Contribution to the Understanding of the Human MindCognitive psychology is not getting anywhere; that in spite of our sophisticated methodology, we have not succeeded in making a substantial contribution toward the understanding of the human mind.... A short time ago, the information processing approach to cognition was just beginning. Hopes were high that the analysis of information processing into a series of discrete stages would offer profound insights into human cognition. But in only a few short years the vigor of this approach was spent. It was only natural that hopes that had been so high should sink low. (Glass, Holyoak & Santa, 1979, p. ix)Cognitive psychology attempts to understand the nature of human intelligence and how people think. (Anderson, 1980, p. 3)6) The Rise of Cognitive Psychology Demonstrates That the Impeccable Peripheralism of Stimulus- Response Theories Could Not LastThe past few years have witnessed a noticeable increase in interest in an investigation of the cognitive processes.... It has resulted from a recognition of the complex processes that mediate between the classical "stimuli" and "responses" out of which stimulus-response learning theories hoped to fashion a psychology that would by-pass anything smacking of the "mental." The impeccable peripheralism of such theories could not last. One might do well to have a closer look at these intervening "cognitive maps." (Bruner, Goodnow & Austin, 1956, p. vii)Historical dictionary of quotations in cognitive science > Cognitive Psychology
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9 Bibliography
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The psychology of computer vision. New York: McGrawHill.■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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10 Computers
The brain has been compared to a digital computer because the neuron, like a switch or valve, either does or does not complete a circuit. But at that point the similarity ends. The switch in the digital computer is constant in its effect, and its effect is large in proportion to the total output of the machine. The effect produced by the neuron varies with its recovery from [the] refractory phase and with its metabolic state. The number of neurons involved in any action runs into millions so that the influence of any one is negligible.... Any cell in the system can be dispensed with.... The brain is an analogical machine, not digital. Analysis of the integrative activities will probably have to be in statistical terms. (Lashley, quoted in Beach, Hebb, Morgan & Nissen, 1960, p. 539)It is essential to realize that a computer is not a mere "number cruncher," or supercalculating arithmetic machine, although this is how computers are commonly regarded by people having no familiarity with artificial intelligence. Computers do not crunch numbers; they manipulate symbols.... Digital computers originally developed with mathematical problems in mind, are in fact general purpose symbol manipulating machines....The terms "computer" and "computation" are themselves unfortunate, in view of their misleading arithmetical connotations. The definition of artificial intelligence previously cited-"the study of intelligence as computation"-does not imply that intelligence is really counting. Intelligence may be defined as the ability creatively to manipulate symbols, or process information, given the requirements of the task in hand. (Boden, 1981, pp. 15, 16-17)The task is to get computers to explain things to themselves, to ask questions about their experiences so as to cause those explanations to be forthcoming, and to be creative in coming up with explanations that have not been previously available. (Schank, 1986, p. 19)In What Computers Can't Do, written in 1969 (2nd edition, 1972), the main objection to AI was the impossibility of using rules to select only those facts about the real world that were relevant in a given situation. The "Introduction" to the paperback edition of the book, published by Harper & Row in 1979, pointed out further that no one had the slightest idea how to represent the common sense understanding possessed even by a four-year-old. (Dreyfus & Dreyfus, 1986, p. 102)A popular myth says that the invention of the computer diminishes our sense of ourselves, because it shows that rational thought is not special to human beings, but can be carried on by a mere machine. It is a short stop from there to the conclusion that intelligence is mechanical, which many people find to be an affront to all that is most precious and singular about their humanness.In fact, the computer, early in its career, was not an instrument of the philistines, but a humanizing influence. It helped to revive an idea that had fallen into disrepute: the idea that the mind is real, that it has an inner structure and a complex organization, and can be understood in scientific terms. For some three decades, until the 1940s, American psychology had lain in the grip of the ice age of behaviorism, which was antimental through and through. During these years, extreme behaviorists banished the study of thought from their agenda. Mind and consciousness, thinking, imagining, planning, solving problems, were dismissed as worthless for anything except speculation. Only the external aspects of behavior, the surface manifestations, were grist for the scientist's mill, because only they could be observed and measured....It is one of the surprising gifts of the computer in the history of ideas that it played a part in giving back to psychology what it had lost, which was nothing less than the mind itself. In particular, there was a revival of interest in how the mind represents the world internally to itself, by means of knowledge structures such as ideas, symbols, images, and inner narratives, all of which had been consigned to the realm of mysticism. (Campbell, 1989, p. 10)[Our artifacts] only have meaning because we give it to them; their intentionality, like that of smoke signals and writing, is essentially borrowed, hence derivative. To put it bluntly: computers themselves don't mean anything by their tokens (any more than books do)-they only mean what we say they do. Genuine understanding, on the other hand, is intentional "in its own right" and not derivatively from something else. (Haugeland, 1981a, pp. 32-33)he debate over the possibility of computer thought will never be won or lost; it will simply cease to be of interest, like the previous debate over man as a clockwork mechanism. (Bolter, 1984, p. 190)t takes us a long time to emotionally digest a new idea. The computer is too big a step, and too recently made, for us to quickly recover our balance and gauge its potential. It's an enormous accelerator, perhaps the greatest one since the plow, twelve thousand years ago. As an intelligence amplifier, it speeds up everything-including itself-and it continually improves because its heart is information or, more plainly, ideas. We can no more calculate its consequences than Babbage could have foreseen antibiotics, the Pill, or space stations.Further, the effects of those ideas are rapidly compounding, because a computer design is itself just a set of ideas. As we get better at manipulating ideas by building ever better computers, we get better at building even better computers-it's an ever-escalating upward spiral. The early nineteenth century, when the computer's story began, is already so far back that it may as well be the Stone Age. (Rawlins, 1997, p. 19)According to weak AI, the principle value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion than before. But according to strong AI the computer is not merely a tool in the study of the mind; rather the appropriately programmed computer really is a mind in the sense that computers given the right programs can be literally said to understand and have other cognitive states. And according to strong AI, because the programmed computer has cognitive states, the programs are not mere tools that enable us to test psychological explanations; rather, the programs are themselves the explanations. (Searle, 1981b, p. 353)What makes people smarter than machines? They certainly are not quicker or more precise. Yet people are far better at perceiving objects in natural scenes and noting their relations, at understanding language and retrieving contextually appropriate information from memory, at making plans and carrying out contextually appropriate actions, and at a wide range of other natural cognitive tasks. People are also far better at learning to do these things more accurately and fluently through processing experience.What is the basis for these differences? One answer, perhaps the classic one we might expect from artificial intelligence, is "software." If we only had the right computer program, the argument goes, we might be able to capture the fluidity and adaptability of human information processing. Certainly this answer is partially correct. There have been great breakthroughs in our understanding of cognition as a result of the development of expressive high-level computer languages and powerful algorithms. However, we do not think that software is the whole story.In our view, people are smarter than today's computers because the brain employs a basic computational architecture that is more suited to deal with a central aspect of the natural information processing tasks that people are so good at.... hese tasks generally require the simultaneous consideration of many pieces of information or constraints. Each constraint may be imperfectly specified and ambiguous, yet each can play a potentially decisive role in determining the outcome of processing. (McClelland, Rumelhart & Hinton, 1986, pp. 3-4)Historical dictionary of quotations in cognitive science > Computers
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11 Memory
To what extent can we lump together what goes on when you try to recall: (1) your name; (2) how you kick a football; and (3) the present location of your car keys? If we use introspective evidence as a guide, the first seems an immediate automatic response. The second may require constructive internal replay prior to our being able to produce a verbal description. The third... quite likely involves complex operational responses under the control of some general strategy system. Is any unitary search process, with a single set of characteristics and inputoutput relations, likely to cover all these cases? (Reitman, 1970, p. 485)[Semantic memory] Is a mental thesaurus, organized knowledge a person possesses about words and other verbal symbols, their meanings and referents, about relations among them, and about rules, formulas, and algorithms for the manipulation of these symbols, concepts, and relations. Semantic memory does not register perceptible properties of inputs, but rather cognitive referents of input signals. (Tulving, 1972, p. 386)The mnemonic code, far from being fixed and unchangeable, is structured and restructured along with general development. Such a restructuring of the code takes place in close dependence on the schemes of intelligence. The clearest indication of this is the observation of different types of memory organisation in accordance with the age level of a child so that a longer interval of retention without any new presentation, far from causing a deterioration of memory, may actually improve it. (Piaget & Inhelder, 1973, p. 36)4) The Logic of Some Memory Theorization Is of Dubious Worth in the History of PsychologyIf a cue was effective in memory retrieval, then one could infer it was encoded; if a cue was not effective, then it was not encoded. The logic of this theorization is "heads I win, tails you lose" and is of dubious worth in the history of psychology. We might ask how long scientists will puzzle over questions with no answers. (Solso, 1974, p. 28)We have iconic, echoic, active, working, acoustic, articulatory, primary, secondary, episodic, semantic, short-term, intermediate-term, and longterm memories, and these memories contain tags, traces, images, attributes, markers, concepts, cognitive maps, natural-language mediators, kernel sentences, relational rules, nodes, associations, propositions, higher-order memory units, and features. (Eysenck, 1977, p. 4)The problem with the memory metaphor is that storage and retrieval of traces only deals [ sic] with old, previously articulated information. Memory traces can perhaps provide a basis for dealing with the "sameness" of the present experience with previous experiences, but the memory metaphor has no mechanisms for dealing with novel information. (Bransford, McCarrell, Franks & Nitsch, 1977, p. 434)7) The Results of a Hundred Years of the Psychological Study of Memory Are Somewhat DiscouragingThe results of a hundred years of the psychological study of memory are somewhat discouraging. We have established firm empirical generalisations, but most of them are so obvious that every ten-year-old knows them anyway. We have made discoveries, but they are only marginally about memory; in many cases we don't know what to do with them, and wear them out with endless experimental variations. We have an intellectually impressive group of theories, but history offers little confidence that they will provide any meaningful insight into natural behavior. (Neisser, 1978, pp. 12-13)A schema, then is a data structure for representing the generic concepts stored in memory. There are schemata representing our knowledge about all concepts; those underlying objects, situations, events, sequences of events, actions and sequences of actions. A schema contains, as part of its specification, the network of interrelations that is believed to normally hold among the constituents of the concept in question. A schema theory embodies a prototype theory of meaning. That is, inasmuch as a schema underlying a concept stored in memory corresponds to the mean ing of that concept, meanings are encoded in terms of the typical or normal situations or events that instantiate that concept. (Rumelhart, 1980, p. 34)Memory appears to be constrained by a structure, a "syntax," perhaps at quite a low level, but it is free to be variable, deviant, even erratic at a higher level....Like the information system of language, memory can be explained in part by the abstract rules which underlie it, but only in part. The rules provide a basic competence, but they do not fully determine performance. (Campbell, 1982, pp. 228, 229)When people think about the mind, they often liken it to a physical space, with memories and ideas as objects contained within that space. Thus, we speak of ideas being in the dark corners or dim recesses of our minds, and of holding ideas in mind. Ideas may be in the front or back of our minds, or they may be difficult to grasp. With respect to the processes involved in memory, we talk about storing memories, of searching or looking for lost memories, and sometimes of finding them. An examination of common parlance, therefore, suggests that there is general adherence to what might be called the spatial metaphor. The basic assumptions of this metaphor are that memories are treated as objects stored in specific locations within the mind, and the retrieval process involves a search through the mind in order to find specific memories....However, while the spatial metaphor has shown extraordinary longevity, there have been some interesting changes over time in the precise form of analogy used. In particular, technological advances have influenced theoretical conceptualisations.... The original Greek analogies were based on wax tablets and aviaries; these were superseded by analogies involving switchboards, gramophones, tape recorders, libraries, conveyor belts, and underground maps. Most recently, the workings of human memory have been compared to computer functioning... and it has been suggested that the various memory stores found in computers have their counterparts in the human memory system. (Eysenck, 1984, pp. 79-80)Primary memory [as proposed by William James] relates to information that remains in consciousness after it has been perceived, and thus forms part of the psychological present, whereas secondary memory contains information about events that have left consciousness, and are therefore part of the psychological past. (Eysenck, 1984, p. 86)Once psychologists began to study long-term memory per se, they realized it may be divided into two main categories.... Semantic memories have to do with our general knowledge about the working of the world. We know what cars do, what stoves do, what the laws of gravity are, and so on. Episodic memories are largely events that took place at a time and place in our personal history. Remembering specific events about our own actions, about our family, and about our individual past falls into this category. With amnesia or in aging, what dims... is our personal episodic memories, save for those that are especially dear or painful to us. Our knowledge of how the world works remains pretty much intact. (Gazzaniga, 1988, p. 42)The nature of memory... provides a natural starting point for an analysis of thinking. Memory is the repository of many of the beliefs and representations that enter into thinking, and the retrievability of these representations can limit the quality of our thought. (Smith, 1990, p. 1)Historical dictionary of quotations in cognitive science > Memory
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12 PSI
1) Общая лексика: population stability index2) Компьютерная техника: Precise Stylus Input, Panda Software International3) Медицина: индекс тяжести пневмонии4) Американизм: Pollution Standard Index, Public Subject Identifiers5) Военный термин: permanent staff instructor, personalized system of instruction, personnel security investigation, problem-solving information, product support instructions, production stock item, program status information, publications standing instruction6) Техника: Pre-shipment inspection, plan speed indicator, preservice inspection, prioritization of safety issues7) Юридический термин: Pre-Sentence Investigation8) Ветеринария: Pharmaceutical Society of Ireland9) Грубое выражение: Postponing Sexual Involvement10) Телекоммуникации: Packet Switching Interface (DNA)11) Сокращение: Pathfinder Systems Inc. (USA), Performance Systems International, Permanent Staff Instructor (UK), Photon Science Instruments (France), Pounds per Square Inch (pressure), Power Systems, Incorporated, Project Security Instruction, Public Services International, pound-force per square inch, protosynthex index, psychic phenomenon, Packetnet System Interface, Pneumonia Severity Index (индекс тяжести пневмонии)12) Университет: Parapsychology Studies Institute, Psychology Slander Intuition, Psychology Student Instructor13) Физиология: Pain Spasm And Inflammation14) Вычислительная техника: Performance Systems International, inc., program specific information, Power Systems, Incorporated (Corporate name, Model Railroading), Performance Systems International (Corporate name, Networking), Published Subject Indicator (XTM)15) Нефть: pressure-sensing instrument, profit sharing interest, stress function, давление в фунтах на квадратный дюйм16) Биотехнология: Protein Structure Initiative17) Транспорт: Post Shipment Inspection, Present Serviceability Index18) Фирменный знак: Pressure Systems Incorporated, Pure Style Incorporated19) СМИ: Published Subject Identifier20) Деловая лексика: Products Services And Ideas, Provider Of Statistical Information21) Глоссарий компании Сахалин Энерджи: pre-stack imaging (Shell term)22) Таможенная деятельность: осмотр перед отправкой23) Полимеры: pounds per square inch24) Сахалин Р: Pipeline service25) Должность: Peer Search Infrastructure, Probability Statistics And Inference26) Федеральное бюро расследований: Potential Security Informant27) AMEX. Porta Systems Corporation -
13 Psi
1) Общая лексика: population stability index2) Компьютерная техника: Precise Stylus Input, Panda Software International3) Медицина: индекс тяжести пневмонии4) Американизм: Pollution Standard Index, Public Subject Identifiers5) Военный термин: permanent staff instructor, personalized system of instruction, personnel security investigation, problem-solving information, product support instructions, production stock item, program status information, publications standing instruction6) Техника: Pre-shipment inspection, plan speed indicator, preservice inspection, prioritization of safety issues7) Юридический термин: Pre-Sentence Investigation8) Ветеринария: Pharmaceutical Society of Ireland9) Грубое выражение: Postponing Sexual Involvement10) Телекоммуникации: Packet Switching Interface (DNA)11) Сокращение: Pathfinder Systems Inc. (USA), Performance Systems International, Permanent Staff Instructor (UK), Photon Science Instruments (France), Pounds per Square Inch (pressure), Power Systems, Incorporated, Project Security Instruction, Public Services International, pound-force per square inch, protosynthex index, psychic phenomenon, Packetnet System Interface, Pneumonia Severity Index (индекс тяжести пневмонии)12) Университет: Parapsychology Studies Institute, Psychology Slander Intuition, Psychology Student Instructor13) Физиология: Pain Spasm And Inflammation14) Вычислительная техника: Performance Systems International, inc., program specific information, Power Systems, Incorporated (Corporate name, Model Railroading), Performance Systems International (Corporate name, Networking), Published Subject Indicator (XTM)15) Нефть: pressure-sensing instrument, profit sharing interest, stress function, давление в фунтах на квадратный дюйм16) Биотехнология: Protein Structure Initiative17) Транспорт: Post Shipment Inspection, Present Serviceability Index18) Фирменный знак: Pressure Systems Incorporated, Pure Style Incorporated19) СМИ: Published Subject Identifier20) Деловая лексика: Products Services And Ideas, Provider Of Statistical Information21) Глоссарий компании Сахалин Энерджи: pre-stack imaging (Shell term)22) Таможенная деятельность: осмотр перед отправкой23) Полимеры: pounds per square inch24) Сахалин Р: Pipeline service25) Должность: Peer Search Infrastructure, Probability Statistics And Inference26) Федеральное бюро расследований: Potential Security Informant27) AMEX. Porta Systems Corporation -
14 psi
1) Общая лексика: population stability index2) Компьютерная техника: Precise Stylus Input, Panda Software International3) Медицина: индекс тяжести пневмонии4) Американизм: Pollution Standard Index, Public Subject Identifiers5) Военный термин: permanent staff instructor, personalized system of instruction, personnel security investigation, problem-solving information, product support instructions, production stock item, program status information, publications standing instruction6) Техника: Pre-shipment inspection, plan speed indicator, preservice inspection, prioritization of safety issues7) Юридический термин: Pre-Sentence Investigation8) Ветеринария: Pharmaceutical Society of Ireland9) Грубое выражение: Postponing Sexual Involvement10) Телекоммуникации: Packet Switching Interface (DNA)11) Сокращение: Pathfinder Systems Inc. (USA), Performance Systems International, Permanent Staff Instructor (UK), Photon Science Instruments (France), Pounds per Square Inch (pressure), Power Systems, Incorporated, Project Security Instruction, Public Services International, pound-force per square inch, protosynthex index, psychic phenomenon, Packetnet System Interface, Pneumonia Severity Index (индекс тяжести пневмонии)12) Университет: Parapsychology Studies Institute, Psychology Slander Intuition, Psychology Student Instructor13) Физиология: Pain Spasm And Inflammation14) Вычислительная техника: Performance Systems International, inc., program specific information, Power Systems, Incorporated (Corporate name, Model Railroading), Performance Systems International (Corporate name, Networking), Published Subject Indicator (XTM)15) Нефть: pressure-sensing instrument, profit sharing interest, stress function, давление в фунтах на квадратный дюйм16) Биотехнология: Protein Structure Initiative17) Транспорт: Post Shipment Inspection, Present Serviceability Index18) Фирменный знак: Pressure Systems Incorporated, Pure Style Incorporated19) СМИ: Published Subject Identifier20) Деловая лексика: Products Services And Ideas, Provider Of Statistical Information21) Глоссарий компании Сахалин Энерджи: pre-stack imaging (Shell term)22) Таможенная деятельность: осмотр перед отправкой23) Полимеры: pounds per square inch24) Сахалин Р: Pipeline service25) Должность: Peer Search Infrastructure, Probability Statistics And Inference26) Федеральное бюро расследований: Potential Security Informant27) AMEX. Porta Systems Corporation -
15 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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16 well
̈ɪwel I
1. сущ.
1) а) родник б) перен. источник, кладезь( чего-л.) She was a well of quotations. ≈ Она была ходячей энциклопедией знаменитых выражений. Syn: source, origin
2) водоем, колодец to bore, dig, drill, sink a well ≈ выкапывать колодец abandoned well ≈ заброшенный колодец artesian well ≈ артезианский колодец deep well ≈ глубокий колодец oil well ≈ нефтяная скважина a well dries up ≈ колодец высыхает
3) а) лестничная клетка б) шахта лифта в) отсек на корабле, в котором перевозится живая рыба
4) места адвокатов (в английском суде)
5) горн. скважина;
зумпф, отстойник
2. гл. хлынуть, бить ключом (часто well up, well out, well forth) II
1. нареч.;
сравн. - better;
превосх. - best
1) хорошо!
2) а) справедливо, верно, правильно Syn: justly, rightly б) как следует;
хорошенько;
основательно to talk well ≈ наговориться вдоволь
3) хорошо, со знанием дела He paints well. ≈ Он хорошо рисует.
4) внимательно Syn: attentively
5) сильно, очень, в высокой степени He well deserved the honor. ≈ Он действительно заслуживает награды. Syn: fully, quite
6) ясно, четко, понятно He well knew the law. ≈ Он четко представлял себе законодательные нормы. Syn: clearly
7) а) действительно, в самом деле It may well be true. ≈ Это действительно может оказаться правдой. Syn: indeed б) охотно, действительно, без труда, с готовностью Syn: easily, readily ∙ as well as it's just as well well enough
2. прил.;
сравн. - better;
превосх. - best
1) а) процветающий, обеспеченный, состоятельный Syn: prosperous, well-off б) предик. хороший, в хорошем состоянии
2) а) занимающий удачную позицию, имеющий хорошее положение( о человеке) He was well spoken of. ≈ Он нем были хорошие отзывы. б) удачный, удовлетворительный, приятный It is well that he came. ≈ Хорошо, что он пришел. Syn: satisfactory, pleasing
3) желательный, целесообразный It might be well for him to leave. ≈ Было бы лучше, если бы он ушел. Syn: advisable, desirable
1.
4) а) предик. здоровый( о человеке) Syn: healthy б) вылеченный, заживший (о болезни, ране и т.д.) The wound is nearly well. ≈ Рана почти зажила.
5) приятный, симпатичный( о внешности)
6) счастливый, удачливый Syn: fortunate ∙ well up
3. сущ. добро, благо let well alone, амер. let well enough alone ≈ от добра добра не ищут
4. межд. ну! (выражает удивление, уступку, согласие, ожидание и т. п.) колодец родник, ключ;
источник (особ. минеральный) водоем pl минеральный воды (курорт) источник, кладезь - a * of life источник жизни - he is a * of information он кладезь знаний лестничная клетка;
пролет лестницы шахта лифта места адвокатов (в английском суде) (горное) скважина (морское) кокпит (техническое) отстойник, зумпф (книжное) подниматься( о воде;
часто * up) - tears *ed up in her eyes ее глаза наполнились слезами вскипать (тж. * up) бить ключом;
хлынуть, брызнуть (тж. * out, * forth) - the blood was *ing out from the wound из раны хлестала кровь( over) переполняться;
литься через край - his heart *ed over with joy его сердце преисполнилось радостью добро;
благо - I wish him * я желаю ему добра (the *) (собирательнле) здоровые - the sick are often impatient with the * больных часто раздражают здоровые здоровый;
выздоровевший - is she * or ill? она здорова или больна? - I am not very * today мне сегодня нездоровится - to feel * чувствовать себя хорошо /здоровым/ - to look * хорошо выглядеть;
иметь цветущий вид - I hope you'll soon get * again надеюсь, вы скоро поправитесь - I am practically a * man я практически здоров - * baby ward палата здоровых новорожденных (в родильном доме) - the wound is nearly * рана почти зажила хороший, в удовлетворительном состоянии - all is * все в порядке, все хорошо - all is not * with him у него не все благополучно - things are * with us у нас все в порядке - we are very * where we are нам здесь очень хорошо /очень удобно/ зажиточный, состоятельный;
процветающий удачный - it was * for you that nobody saw you тебе повезло, что тебя никто не видел желательный, целесообразный - it might be * for you to leave возможно, вам следовало бы уехать - it would be * to inquire хорошо бы навести справки > it's all very * (ироничное) легко сказать > it's all very * (for you) to suggest doing that but where's the money coming from? (вам) легко советовать, но где взять деньги? хорошо, отлично;
удачно;
благополучно - the work is * done работа сделана отлично - I did not sleep * last night сегодня я плохо спал положительно, благоприятно;
одобрительно - to think * of smb. быть о ком-л. хорошего мнения - to speak * of smb. хорошо отзываться о ком-л. зажиточно - to live * жить в достатке значительно - he must be * over fifty ему, вероятно, далеко за пятьдесят - * on in life немолодой, пожилой - I am * forward with my work моя работа значительно продвинулась, я уже много сделал - it is * up in the list это где-то в начале списка - * into the night далеко за полночь - * to the east гораздо /значительно/ восточнее совершенно, полностью - he was * out of sight он совсем исчез из виду разумно, с полным основанием;
справедливо - I could not * refuse я никак не мог отказать(ся) тщательно - shake the bottle * перед употреблением взбалтывать( о лекарстве) - examine the account * внимательно проверьте счет очень, весьма - I like him * он мне очень нравится - to be * pleased быть весьма довольным вполне - it may * be true это вполне возможно - you may * be surprised вы имеете все основания удивляться - he could * afford a new car он вполне мог бы купить новую машину в сочетаниях - as * также, тоже;
с таким же успехом - there were other books as * были и другие книги - we may as * begin at once мы вполне можем начать сразу - you might as * throw your money away вы могли бы с таким же успехом выкинуть свои деньги - that is just as * ну что ж, жалеть не стоит - as * as также;
так же как;
в дополнение;
кроме того;
не только... но и > * and truly основательно;
полностью > * and good ну и прекрасно;
ну и ладно;
тем лучше;
все прекрасно, но... > let /leave/ * alone и так сойдет;
от добра добра не ищут > he can never let * alone он всегда недоволен, он никогда не удовлетворен (сделанным) > * away на ходу, идущий полным ходом;
(сленг) начинающий пьянеть > to turn out * окончиться благополучно;
оказаться к лучшему > to come off * добиться успеха;
закончиться благополучно > to go * together подходить друг к другу;
гармонировать > to be doing * поправляться( о больном) > mother and child are doing * мать и ребенок чувствуют себя хорошо > to be * out of smth. счастливо отделаться от чего-л.;
вовремя избавиться от чего-л. или убраться откуда-л. > to be * up in smth. быть хорошо осведомленным о чем-л. > * done /run/! здорово!, хорошо! (одобрение) > * said! хорошо сказано! > * met! какая приятная встреча > to do oneself * ни в чем себе не отказывать > all is * that ends * (пословица) все хорошо, что хорошо кончается, конец венчает дело ну! (выражает удивление, сомнение, уступку, согласие, чувство облегчения, удовлетворения и т. п.) - *, you of all people! ну, уж от вас никак не ожидал! - *, I declare! ну, скажу я вам!;
ну и ну!, нечего сказать! - *, to be sure вот те раз!, вот те на!, нечего сказать! - *, I never! вот те на!, не может быть! - *, it can't be helped! ну что же, ничего не поделаешь! итак( используется при возобновлении прерванного разговора или как вступительное слово при каком-л. замечании) - *, then she said итак, после этого она заявила ~ a (better;
best) хороший;
all is well все в порядке, все прекрасно;
all turned out well все прекрасно ~ a (better;
best) хороший;
all is well все в порядке, все прекрасно;
all turned out well все прекрасно all turned out ~ out (of smth.) счастливо отделаться( от чего-л.) this may ~ be so это весьма вероятно;
as well as так же как, а также;
заодно и ~ хорошо, разумно, правильно;
to behave well хорошо вести себя;
you can't well refuse to help him у вас нет достаточных оснований отказать ему в помощи the girl speaks French ~ enough to act as our interpreter девушка достаточно хорошо владеет французским языком, чтобы быть нашим переводчиком ~ очень, значительно, далеко, вполне;
the work is well on работа значительно продвинулась;
he is well past forty ему далеко за сорок ~ up знающий, толковый;
he isn't well up in psychology он не силен в психологии ~ совершенно, полностью;
he was well out of sight он совсем исчез из виду hot ~ горячий источник hot ~ тех. резервуар горячей воды ~ a predic. здоровый;
I am quite well я совершенно здоров well добро;
I wish him well я желаю ему добра;
let well alone, амер. let well enough alone = от добра добра не ищут if you promise that, ~ and good если вы обещаете это, тогда хорошо;
well, to be sure вот тебе раз! it may ~ be true весьма возможно, что так оно и есть на самом деле it's just as ~ ну что же, пусть будет так, = жалеть не стоит;
well enough довольно хорошо well добро;
I wish him well я желаю ему добра;
let well alone, амер. let well enough alone = от добра добра не ищут well добро;
I wish him well я желаю ему добра;
let well alone, амер. let well enough alone = от добра добра не ищут ~, what next? ну, а что дальше?;
well, now tell me all about it ну, теперь расскажите мне все об этом ~ adv (better;
best) хорошо! well done! отлично;
здорово!;
she is well spoken of у нее отличная репутация ~ как следует;
хорошенько;
основательно;
we ought to examine the results well следует тщательно изучить результаты;
to talk well наговориться вдоволь this may ~ be so это весьма вероятно;
as well as так же как, а также;
заодно и ~ как следует;
хорошенько;
основательно;
we ought to examine the results well следует тщательно изучить результаты;
to talk well наговориться вдоволь ~ int ну! (выражает удивление, уступку, согласие, ожидание и т. п.) ;
well and good! хорошо!, ладно! if you promise that, ~ and good если вы обещаете это, тогда хорошо;
well, to be sure вот тебе раз! it's just as ~ ну что же, пусть будет так, = жалеть не стоит;
well enough довольно хорошо ~ over далеко за ~ over значительно больше ~ up знающий, толковый;
he isn't well up in psychology он не силен в психологии ~ очень, значительно, далеко, вполне;
the work is well on работа значительно продвинулась;
he is well past forty ему далеко за сорок ~ хорошо, разумно, правильно;
to behave well хорошо вести себя;
you can't well refuse to help him у вас нет достаточных оснований отказать ему в помощи -
17 educational
adjectivepädagogisch; erzieherisch; Lehr[film, -spiele, -anstalt]; Erziehungs[methoden, -arbeit]* * *1) (of education: educational methods.) erzieherisch2) (providing information: Our visit to the zoo was educational as well as enjoyable.) belehrend* * *edu·ca·tion·al[ˌeʤʊˈkeɪʃənəl]1. attr, inv SCH, UNIV Bildungs-, pädagogisch\educational background schulischer Werdegang\educational establishment Bildungsanstalt f\educational film Lehrfilm m\educational institution Bildungseinrichtung f\educational psychology Schulpsychologie f\educational qualifications schulische Qualifikationen\educational standards Bildungsniveau nt\educational system Bildungswesen nt2. (enlightening) lehrreichan \educational experience eine lehrreiche Erfahrungan \educational journey eine Bildungsreise3. (raising awareness) bewusstseinsbildend\educational campaign Informationskampagne* * *["edjʊ'keɪʃənl]adjeducational standards (in schools) — Unterrichtsniveau nt; (of country) Bildungsniveau nt
educational theory — Pädagogik f, Unterrichtstheorie f
educational book — Lehrbuch nt; (for schools) Schulbuch nt
* * *educational [-ʃənl] adj (adv educationally)1. a) erzieherisch, Erziehungs…, pädagogisch, Unterrichts…:educational experience lehrreiche Erfahrung;educational film Lehrfilm m;educational institution Bildungs-, Lehranstalt f;educational psychology Schulpsychologie f;educational television Schulfernsehen n;educationally subnormal lernbehindertb) pädagogisch wertvoll (Spielzeug etc)2. Bildungs…:educational deficiency Bildungsdefizit n;educational leave Bildungsurlaub m;ed. abk1. edited2. edition3. editor4. education5. educational* * *adjectivepädagogisch; erzieherisch; Lehr[film, -spiele, -anstalt]; Erziehungs[methoden, -arbeit]* * *adj.Bildungs- präfix.erzieherisch adj.zur Ausbildung gehörend ausdr. -
18 Intelligence
There is no mystery about it: the child who is familiar with books, ideas, conversation-the ways and means of the intellectual life-before he begins school, indeed, before he begins consciously to think, has a marked advantage. He is at home in the House of intellect just as the stableboy is at home among horses, or the child of actors on the stage. (Barzun, 1959, p. 142)It is... no exaggeration to say that sensory-motor intelligence is limited to desiring success or practical adaptation, whereas the function of verbal or conceptual thought is to know and state truth. (Piaget, 1954, p. 359)ntelligence has two parts, which we shall call the epistemological and the heuristic. The epistemological part is the representation of the world in such a form that the solution of problems follows from the facts expressed in the representation. The heuristic part is the mechanism that on the basis of the information solves the problem and decides what to do. (McCarthy & Hayes, 1969, p. 466)Many scientists implicitly assume that, among all animals, the behavior and intelligence of nonhuman primates are most like our own. Nonhuman primates have relatively larger brains and proportionally more neocortex than other species... and it now seems likely that humans, chimpanzees, and gorillas shared a common ancestor as recently as 5 to 7 million years ago.... This assumption about the unique status of primate intelligence is, however, just that: an assumption. The relations between intelligence and measures of brain size is poorly understood, and evolutionary affinity does not always ensure behavioral similarity. Moreover, the view that nonhuman primates are the animals most like ourselves coexists uneasily in our minds with the equally pervasive view that primates differ fundamentally from us because they lack language; lacking language, they also lack many of the capacities necessary for reasoning and abstract thought. (Cheney & Seyfarth, 1990, p. 4)Few constructs are asked to serve as many functions in psychology as is the construct of human intelligence.... Consider four of the main functions addressed in theory and research on intelligence, and how they differ from one another.1. Biological. This type of account looks at biological processes. To qualify as a useful biological construct, intelligence should be a biochemical or biophysical process or at least somehow a resultant of biochemical or biophysical processes.2. Cognitive approaches. This type of account looks at molar cognitive representations and processes. To qualify as a useful mental construct, intelligence should be specifiable as a set of mental representations and processes that are identifiable through experimental, mathematical, or computational means.3. Contextual approaches. To qualify as a useful contextual construct, intelligence should be a source of individual differences in accomplishments in "real-world" performances. It is not enough just to account for performance in the laboratory. On [sic] the contextual view, what a person does in the lab may not even remotely resemble what the person would do outside it. Moreover, different cultures may have different conceptions of intelligence, which affect what would count as intelligent in one cultural context versus another.4. Systems approaches. Systems approaches attempt to understand intelligence through the interaction of cognition with context. They attempt to establish a link between the two levels of analysis, and to analyze what forms this link takes. (Sternberg, 1994, pp. 263-264)High but not the highest intelligence, combined with the greatest degrees of persistence, will achieve greater eminence than the highest degree of intelligence with somewhat less persistence. (Cox, 1926, p. 187)There are no definitive criteria of intelligence, just as there are none for chairness; it is a fuzzy-edged concept to which many features are relevant. Two people may both be quite intelligent and yet have very few traits in common-they resemble the prototype along different dimensions.... [Intelligence] is a resemblance between two individuals, one real and the other prototypical. (Neisser, 1979, p. 185)Given the complementary strengths and weaknesses of the differential and information-processing approaches, it should be possible, at least in theory, to synthesise an approach that would capitalise upon the strength of each approach, and thereby share the weakness of neither. (Sternberg, 1977, p. 65)Historical dictionary of quotations in cognitive science > Intelligence
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19 Mind-body Problem
From this I knew that I was a substance the whole essence or nature of which is to think, and that for its existence there is no need of any place, nor does it depend on any material thing; so that this "me," that is to say, the soul by which I am what I am, is entirely distinct from body, and is even more easy to know than is the latter; and even if body were not, the soul would not cease to be what it is. (Descartes, 1970a, p. 101)still remains to be explained how that union and apparent intermingling [of mind and body]... can be found in you, if you are incorporeal, unextended and indivisible.... How, at least, can you be united with the brain, or some minute part in it, which (as has been said) must yet have some magnitude or extension, however small it be? If you are wholly without parts how can you mix or appear to mix with its minute subdivisions? For there is no mixture unless each of the things to be mixed has parts that can mix with one another. (Gassendi, 1970, p. 201)here are... certain things which we experience in ourselves and which should be attributed neither to the mind nor body alone, but to the close and intimate union that exists between the body and the mind.... Such are the appetites of hunger, thirst, etc., and also the emotions or passions of the mind which do not subsist in mind or thought alone... and finally all the sensations. (Descartes, 1970b, p. 238)With any other sort of mind, absolute Intelligence, Mind unattached to a particular body, or Mind not subject to the course of time, the psychologist as such has nothing to do. (James, 1890, p. 183)[The] intention is to furnish a psychology that shall be a natural science: that is to represent psychical processes as quantitatively determinate states of specifiable material particles, thus making these processes perspicuous and free from contradiction. (Freud, 1966, p. 295)The thesis is that the mental is nomologically irreducible: there may be true general statements relating the mental and the physical, statements that have the logical form of a law; but they are not lawlike (in a strong sense to be described). If by absurdly remote chance we were to stumble on a non-stochastic true psychophysical generalization, we would have no reason to believe it more than roughly true. (Davidson, 1970, p. 90)We can divide those who uphold the doctrine that men are machines, or a similar doctrine, into two categories: those who deny the existence of mental events, or personal experiences, or of consciousness;... and those who admit the existence of mental events, but assert that they are "epiphenomena"-that everything can be explained without them, since the material world is causally closed. (Popper & Eccles, 1977, p. 5)Mind affects brain and brain affects mind. That is the message, and by accepting it you commit yourself to a special view of the world. It is a view that shows the limits of the genetic imperative on what we turn out to be, both intellectually and emotionally. It decrees that, while the secrets of our genes express themselves with force throughout our lives, the effect of that information on our bodies can be influenced by our psychological history and beliefs about the world. And, just as important, the other side of the same coin argues that what we construct in our minds as objective reality may simply be our interpretations of certain bodily states dictated by our genes and expressed through our physical brains and body. Put differently, various attributes of mind that seem to have a purely psychological origin are frequently a product of the brain's interpreter rationalizing genetically driven body states. Make no mistake about it: this two-sided view of mind-brain interactions, if adopted, has implications for the management of one's personal life. (Gazzaniga, 1988, p. 229)Historical dictionary of quotations in cognitive science > Mind-body Problem
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20 IEP
1) Общая лексика: incentives and earned privileges (в тюрьме), Irish Punt, Intensive English Program2) Спорт: Index Of Effective Participation3) Военный термин: independent evaluation plan, information exchange program, integrated engineering program5) Сельское хозяйство: immunoelectrophoresis7) Университет: Individual Education Plan, Individual Educational Plan, Individual Educational Program, Instruction Enhancement Program9) Иммунология: isoelectric point10) Деловая лексика: ирландский фунт (Irish pound)
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