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1 complexity science
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2 complexity science
The New English-Russian Dictionary of Radio-electronics > complexity science
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3 science
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4 science
1) наука•- cognitive science
- complexity science
- computer science
- embodied cognitive science
- hard science
- information science
- library science
- life science
- management science
- natural science
- physical science
- soft science
- software science
- space science
- system scienceThe New English-Russian Dictionary of Radio-electronics > science
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5 complexity theory
математическая дисциплина, изучающая различные вычислительные алгоритмы с целью определить, сколько шагов, времени и какой объём памяти требуется для их реализации. Обычно сложность задачи определяется количеством операций, необходимых для её решения. Широко используется в криптографииАнгло-русский толковый словарь терминов и сокращений по ВТ, Интернету и программированию. > complexity theory
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6 computer science
= CS IIIдосл. компьютерные науки, теория вычислительных машин и систем; вычислительная техника (как область знаний)общее название для совокупности дисциплин, связанных с конструированием компьютеров и их использованием в обработке информации. Объединяет теоретические и практические аспекты многих наук, таких как электроника, программирование, математика, искусственный интеллект, человеко-машинное взаимодействие, конструирование ЭВМ и др. Имеет много направлений, некоторые из которых ставят во главу угла конкретные результаты (пример - компьютерная графика, computer graphics), некоторые - свойства вычислительных задач (пример - теория сложности вычислений, complexity theory), а некоторые фокусируются на проблемах реализации вычислений. Так, теория языков программирования (programming language theory) изучает подходы к описанию вычислений, а программирование для компьютеров (computer programming) предусматривает применение конкретных языков для решения конкретных задач. Подмножеством компьютерных наук являются теоретические компьютерные науки (theoretical computer sciences). В целом компьютерные науки относятся к естественным наукам (physical sciences).The great Edsger Dijkstra has eloquently explained that Computer Science is not an experimental science and doesn't depend on electronic computers. — Знаменитый Edsger Dijkstra популярно объяснил, что Computer Science - это не экспериментальная наука, она не зависит от электронных компьютеров см. тж. artificial intelligence, computer engineering, information theory, software engineering
Англо-русский толковый словарь терминов и сокращений по ВТ, Интернету и программированию. > computer science
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7 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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8 сложность
жен. complexity, complicacy, complication чрезвычайная сложность ≈ baffling complexity в общей сложностисложн|ость - ж. intricacy, complexity;
(трудность) difficulty;
~ый
1. (состоящий из нескольких частей) compound, composite;
~ые вещества compounds;
~оe слово compound word;
~ое предложение complex sentence;
~ое число compound number;
~ые проценты compound interest sg. ;
2. (многообразный) complex;
~ая наука complex science;
~ый характер complex character;
3. (трудный) difficult, involved, complicated;
(запутанный) intricate;
~ый вопрос complicated question/matter;
~ая обстановка complicated situation;
4. (замысловатый) intricate;
~ый орнамент intricate ornamentation.Большой англо-русский и русско-английский словарь > сложность
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9 Caetano, Marcello José das Neves Alves
(19061980)Marcello Caetano, as the last prime minister of the Estado Novo, was both the heir and successor of Antônio de Oliveira Salazar. In a sense, Caetano was one of the founders and sustainers of this unusual regime and, at various crucial stages of its long life, Caetano's contribution was as important as Salazar's.Born in Lisbon in 1906 to a middle-class family, Caetano was a member of the student generation that rebelled against the unstable parliamentary First Republic and sought answers to Portugal's legion of troubles in conservative ideologies such as integralism, Catholic reformism, and the Italian Fascist model. One of the most brilliant students at the University of Lisbon's Law School, Caetano soon became directly involved in government service in various ministries, including Salazar's Ministry of Finance. When Caetano was not teaching full-time at the law school in Lisbon and influencing new generations of students who became critical of the regime he helped construct, Caetano was in important government posts and working on challenging assignments. In the 1930s, he participated in reforms in the Ministry of Finance, in the writing of the 1933 Constitution, in the formation of the new civil code, of which he was in part the author, and in the construction of corporativism, which sought to control labor-management relations and other aspects of social engineering. In a regime largely directed by academics from the law faculties of Coimbra University and the University of Lisbon, Caetano was the leading expert on constitutional law, administrative law, political science, and colonial law. A prolific writer as both a political scientist and historian, Caetano was the author of the standard political science, administrative law, and history of law textbooks, works that remained in print and in use among students long after his exile and death.After his apprenticeship service in a number of ministries, Caetano rose steadily in the system. At age 38, he was named minister for the colonies (1944 47), and unlike many predecessors, he "went to see for himself" and made important research visits to Portugal's African territories. In 1955-58, Caetano served in the number-three position in the regime in the Ministry of the Presidency of the Council (premier's office); he left office for full-time academic work in part because of his disagreements with Salazar and others on regime policy and failures to reform at the desired pace. In 1956 and 1957, Caetano briefly served as interim minister of communications and of foreign affairs.Caetano's opportunity to take Salazar's place and to challenge even more conservative forces in the system came in the 1960s. Portugal's most prominent law professor had a public falling out with the regime in March 1962, when he resigned as rector of Lisbon University following a clash between rebellious students and the PIDE, the political police. When students opposing the regime organized strikes on the University of Lisbon campus, Caetano resigned his rectorship after the police invaded the campus and beat and arrested some students, without asking permission to enter university premises from university authorities.When Salazar became incapacitated in September 1968, President Américo Tomás named Caetano prime minister. His tasks were formidable: in the midst of remarkable economic growth in Portugal, continued heavy immigration of Portuguese to France and other countries, and the costly colonial wars in three African colonies, namely Angola, Guinea- Bissau, and Mozambique, the regime struggled to engineer essential social and political reforms, win the wars in Africa, and move toward meaningful political reforms. Caetano supported moderately important reforms in his first two years in office (1968-70), as well as the drafting of constitutional revisions in 1971 that allowed a slight liberalization of the Dictatorship, gave the opposition more room for activity, and decentrali zed authority in the overseas provinces (colonies). Always aware of the complexity of Portugal's colonial problems and of the ongoing wars, Caetano made several visits to Africa as premier, and he sought to implement reforms in social and economic affairs while maintaining the expensive, divisive military effort, Portugal's largest armed forces mobilization in her history.Opposed by intransigent right-wing forces in various sectors in both Portugal and Africa, Caetano's modest "opening" of 1968-70 soon narrowed. Conservative forces in the military, police, civil service, and private sectors opposed key political reforms, including greater democratization, while pursuing the military solution to the African crisis and personal wealth. A significant perspective on Caetano's failed program of reforms, which could not prevent the advent of a creeping revolution in society, is a key development in the 1961-74 era of colonial wars: despite Lisbon's efforts, the greater part of Portuguese emigration and capital investment during this period were directed not to the African colonies but to Europe, North America, and Brazil.Prime Minister Caetano, discouraged by events and by opposition to his reforms from the so-called "Rheumatic Brigade" of superannuated regime loyalists, attempted to resign his office, but President Américo Tomás convinced him to remain. The publication and public reception of African hero General Antônio Spinola's best-selling book Portugal e Futuro (Portugal and the Future) in February 1974 convinced the surprised Caetano that a coup and revolution were imminent. When the virtually bloodless, smoothly operating military coup was successful in what became known as the Revolution of 25 April 1974, Caetano surrendered to the Armed Forces Movement in Lisbon and was flown to Madeira Island and later to exile in Brazil, where he remained for the rest of his life. In his Brazilian exile, Caetano was active writing important memoirs and histories of the Estado Novo from his vantage point, teaching law at a private university in Rio de Janeiro, and carrying on a lively correspondence with persons in Portugal. He died at age 74, in 1980, in Brazil.Historical dictionary of Portugal > Caetano, Marcello José das Neves Alves
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10 Creativity
Put in this bald way, these aims sound utopian. How utopian they areor rather, how imminent their realization-depends on how broadly or narrowly we interpret the term "creative." If we are willing to regard all human complex problem solving as creative, then-as we will point out-successful programs for problem solving mechanisms that simulate human problem solvers already exist, and a number of their general characteristics are known. If we reserve the term "creative" for activities like discovery of the special theory of relativity or the composition of Beethoven's Seventh Symphony, then no example of a creative mechanism exists at the present time. (Simon, 1979, pp. 144-145)Among the questions that can now be given preliminary answers in computational terms are the following: how can ideas from very different sources be spontaneously thought of together? how can two ideas be merged to produce a new structure, which shows the influence of both ancestor ideas without being a mere "cut-and-paste" combination? how can the mind be "primed," so that one will more easily notice serendipitous ideas? why may someone notice-and remember-something fairly uninteresting, if it occurs in an interesting context? how can a brief phrase conjure up an entire melody from memory? and how can we accept two ideas as similar ("love" and "prove" as rhyming, for instance) in respect of a feature not identical in both? The features of connectionist AI models that suggest answers to these questions are their powers of pattern completion, graceful degradation, sensitization, multiple constraint satisfaction, and "best-fit" equilibration.... Here, the important point is that the unconscious, "insightful," associative aspects of creativity can be explained-in outline, at least-by AI methods. (Boden, 1996, p. 273)There thus appears to be an underlying similarity in the process involved in creative innovation and social independence, with common traits and postures required for expression of both behaviors. The difference is one of product-literary, musical, artistic, theoretical products on the one hand, opinions on the other-rather than one of process. In both instances the individual must believe that his perceptions are meaningful and valid and be willing to rely upon his own interpretations. He must trust himself sufficiently that even when persons express opinions counter to his own he can proceed on the basis of his own perceptions and convictions. (Coopersmith, 1967, p. 58)he average level of ego strength and emotional stability is noticeably higher among creative geniuses than among the general population, though it is possibly lower than among men of comparable intelligence and education who go into administrative and similar positions. High anxiety and excitability appear common (e.g. Priestley, Darwin, Kepler) but full-blown neurosis is quite rare. (Cattell & Butcher, 1970, p. 315)he insight that is supposed to be required for such work as discovery turns out to be synonymous with the familiar process of recognition; and other terms commonly used in the discussion of creative work-such terms as "judgment," "creativity," or even "genius"-appear to be wholly dispensable or to be definable, as insight is, in terms of mundane and well-understood concepts. (Simon, 1989, p. 376)From the sketch material still in existence, from the condition of the fragments, and from the autographs themselves we can draw definite conclusions about Mozart's creative process. To invent musical ideas he did not need any stimulation; they came to his mind "ready-made" and in polished form. In contrast to Beethoven, who made numerous attempts at shaping his musical ideas until he found the definitive formulation of a theme, Mozart's first inspiration has the stamp of finality. Any Mozart theme has completeness and unity; as a phenomenon it is a Gestalt. (Herzmann, 1964, p. 28)Great artists enlarge the limits of one's perception. Looking at the world through the eyes of Rembrandt or Tolstoy makes one able to perceive aspects of truth about the world which one could not have achieved without their aid. Freud believed that science was adaptive because it facilitated mastery of the external world; but was it not the case that many scientific theories, like works of art, also originated in phantasy? Certainly, reading accounts of scientific discovery by men of the calibre of Einstein compelled me to conclude that phantasy was not merely escapist, but a way of reaching new insights concerning the nature of reality. Scientific hypotheses require proof; works of art do not. Both are concerned with creating order, with making sense out of the world and our experience of it. (Storr, 1993, p. xii)The importance of self-esteem for creative expression appears to be almost beyond disproof. Without a high regard for himself the individual who is working in the frontiers of his field cannot trust himself to discriminate between the trivial and the significant. Without trust in his own powers the person seeking improved solutions or alternative theories has no basis for distinguishing the significant and profound innovation from the one that is merely different.... An essential component of the creative process, whether it be analysis, synthesis, or the development of a new perspective or more comprehensive theory, is the conviction that one's judgment in interpreting the events is to be trusted. (Coopersmith, 1967, p. 59)In the daily stream of thought these four different stages [preparation; incubation; illumination or inspiration; and verification] constantly overlap each other as we explore different problems. An economist reading a Blue Book, a physiologist watching an experiment, or a business man going through his morning's letters, may at the same time be "incubating" on a problem which he proposed to himself a few days ago, be accumulating knowledge in "preparation" for a second problem, and be "verifying" his conclusions to a third problem. Even in exploring the same problem, the mind may be unconsciously incubating on one aspect of it, while it is consciously employed in preparing for or verifying another aspect. (Wallas, 1926, p. 81)he basic, bisociative pattern of the creative synthesis [is] the sudden interlocking of two previously unrelated skills, or matrices of thought. (Koestler, 1964, p. 121)11) The Earliest Stages in the Creative Process Involve a Commerce with DisorderEven to the creator himself, the earliest effort may seem to involve a commerce with disorder. For the creative order, which is an extension of life, is not an elaboration of the established, but a movement beyond the established, or at least a reorganization of it and often of elements not included in it. The first need is therefore to transcend the old order. Before any new order can be defined, the absolute power of the established, the hold upon us of what we know and are, must be broken. New life comes always from outside our world, as we commonly conceive that world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." (Ghiselin, 1985, p. 4)New life comes always from outside our world, as we commonly conceive our world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." Chaos and disorder are perhaps the wrong terms for that indeterminate fullness and activity of the inner life. For it is organic, dynamic, full of tension and tendency. What is absent from it, except in the decisive act of creation, is determination, fixity, and commitment to one resolution or another of the whole complex of its tensions. (Ghiselin, 1952, p. 13)[P]sychoanalysts have principally been concerned with the content of creative products, and with explaining content in terms of the artist's infantile past. They have paid less attention to examining why the artist chooses his particular activity to express, abreact or sublimate his emotions. In short, they have not made much distinction between art and neurosis; and, since the former is one of the blessings of mankind, whereas the latter is one of the curses, it seems a pity that they should not be better differentiated....Psychoanalysis, being fundamentally concerned with drive and motive, might have been expected to throw more light upon what impels the creative person that in fact it has. (Storr, 1993, pp. xvii, 3)A number of theoretical approaches were considered. Associative theory, as developed by Mednick (1962), gained some empirical support from the apparent validity of the Remote Associates Test, which was constructed on the basis of the theory.... Koestler's (1964) bisociative theory allows more complexity to mental organization than Mednick's associative theory, and postulates "associative contexts" or "frames of reference." He proposed that normal, non-creative, thought proceeds within particular contexts or frames and that the creative act involves linking together previously unconnected frames.... Simonton (1988) has developed associative notions further and explored the mathematical consequences of chance permutation of ideas....Like Koestler, Gruber (1980; Gruber and Davis, 1988) has based his analysis on case studies. He has focused especially on Darwin's development of the theory of evolution. Using piagetian notions, such as assimilation and accommodation, Gruber shows how Darwin's system of ideas changed very slowly over a period of many years. "Moments of insight," in Gruber's analysis, were the culminations of slow long-term processes.... Finally, the information-processing approach, as represented by Simon (1966) and Langley et al. (1987), was considered.... [Simon] points out the importance of good problem representations, both to ensure search is in an appropriate problem space and to aid in developing heuristic evaluations of possible research directions.... The work of Langley et al. (1987) demonstrates how such search processes, realized in computer programs, can indeed discover many basic laws of science from tables of raw data.... Boden (1990a, 1994) has stressed the importance of restructuring the problem space in creative work to develop new genres and paradigms in the arts and sciences. (Gilhooly, 1996, pp. 243-244; emphasis in original)Historical dictionary of quotations in cognitive science > Creativity
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11 legal
1) законна дія2) законний, легальний; заснований на законі; заснований на загальному праві, який регулюється загальним правом; легітимний; правовий; правознавчий; правомірний; правосудний; судовий; узаконений; юридичний•legal and administrative machinery for family support — правові і адміністративні заходи підтримки сім'ї
legal gap in protection afforded — прогалина у правовому захисті, що надається
- legal abortionlegal power to correct legal errors — надане законом право виправляти юридичні ( або судові) помилки
- legal abuse
- legal access
- legal accountability
- legal acquisition
- legal act
- legal action
- legal activities
- legal activities activity
- legal acts
- legal address
- legal administration
- legal advertisement
- legal advice
- legal advice bureau
- legal advice center
- legal advice centre
- legal advice office
- legal adviser
- legal advisor
- legal age
- legal agency
- legal agent
- legal aid
- legal aid agency
- legal aid bureau
- legal aid office
- legal aid order
- legal alien
- legal analogy
- legal analysis
- legal approach
- legal area
- legal argument
- legal arrest
- legal aspect
- legal assets
- legal assignment
- legal assistance
- legal assistant
- legal assumption
- legal author
- legal autonomy
- legal awareness
- legal bar
- legal barrier
- legal basis
- legal bill
- legal body
- legal bond
- legal boundary
- legal burden
- legal business
- legal cadres
- legal calendar
- legal capacity
- legal capital
- legal career
- legal case
- legal category
- legal cause
- legal certainty
- legal challenge
- legal changes
- legal charge
- legal check
- legal cheque
- legal circumstance
- legal citation
- legal claim
- legal closing time
- legal code
- legal coercion
- legal committee
- legal competence
- legal complexity
- legal concept
- legal condition
- legal confinement
- legal conflict
- legal conscience
- legal consequence
- legal consequences
- legal consideration
- legal construction
- legal consultation
- legal context
- legal continuity
- legal control
- legal controversy
- legal conviction
- legal-correctional process
- legal costs
- legal councilor
- legal councillor
- legal counsel
- legal counseling
- legal counselor
- legal counsellor
- legal crackdown
- legal crime
- legal culture
- legal currency
- legal custody
- legal custom
- legal decision
- legal deduction
- legal defect
- legal defence
- legal defense
- legal deficiency
- legal definition
- legal delinquency
- legal delivery
- legal demand
- legal deontology
- legal department
- legal dependence
- legal deposit copy
- legal deposit library
- legal descent
- legal details
- legal detention
- legal device
- legal difference
- legal disability
- legal disadvantage
- legal discretion
- legal discrimination
- legal dispute
- legal doctrine
- legal document
- legal documentation
- legal drinking
- legal drinking age
- legal drinking limit
- legal drug
- legal duty
- legal duty
- legal eagle
- legal eavesdropping
- legal education
- legal effect
- legal effectiveness
- legal efficacy
- legal enforcement
- legal enforcement of law
- legal enforcement procedure
- legal entity under public law
- legal entity
- legal environment
- legal equality
- legal equality of the sexes
- legal error
- legal essence
- legal estate
- legal ethics
- legal evaluation
- legal evidence
- legal excuse
- legal execution
- legal executive
- legal exemption
- legal expenses
- legal expenses insurance
- legal experience
- legal expert
- legal expertise
- legal explanation
- legal exposition
- legal fact
- legal father
- legal fees
- legal fetishism
- legal fiction
- legal field
- legal fight
- legal force
- legal form
- legal formality
- legal formula
- legal formulation
- legal foundation
- legal foundations
- legal frame
- legal framework
- legal framing
- legal fraud
- legal function
- legal gambler
- legal gambling
- legal gap
- legal glossator
- legal government
- legal ground
- legal groundwork
- legal guarantee
- legal guarantees
- legal guardian
- legal guilt
- legal hearing
- legal historian
- legal history
- legal holder
- legal holiday
- legal home
- legal humanism
- legal hypothesis
- legal identity
- legal immigration
- legal immunity
- legal implementation
- legal implication
- legal implications
- legal impossibility
- legal incapacity
- legal incident
- legal income
- legal incompetence
- legal information
- legal injury
- legal innovation
- legal innovation
- legal innovations
- legal insanity
- legal institution
- legal instruction
- legal instrument
- legal intent
- legal interest
- legal interest rate
- legal interpretation
- legal investigation
- legal investigator
- legal irregularity
- legal issue
- legal journal
- legal judge
- legal judgement
- legal judgment
- legal jurisdiction
- legal justice
- legal justification
- legal killer
- legal killing
- legal knowledge
- legal language
- legal liability
- legal lien
- legal limit
- legal limitation
- legal literature
- legal loophole
- legal lynching
- legal malice
- legal malpractice
- legal manufacture
- legal marriage
- legal matter
- legal maxim
- legal means
- legal means of social control
- legal measure
- legal mechanism
- legal medicine
- legal methodology
- legal minimum age of marriage
- legal minimum wage rate
- legal minimum wage rates
- legal minor
- legal monopoly
- legal monument
- legal mortgage
- legal mother
- legal name
- legal nationality
- legal negligence
- legal nihilism
- legal nomenclature
- legal norm
- legal notice
- legal notification
- legal notion
- legal object
- legal objection
- legal objective
- legal obligation
- legal observation method
- legal observer
- legal obstruction
- legal office
- legal office
- legal officer
- legal official
- legal operation
- legal opinion
- legal order
- legal organization
- legal owner
- legal parlance
- legal papers
- legal participation
- legal perjury
- legal permissibility
- legal permission
- legal person
- legal personality
- legal phenomenon
- legal philosopher
- legal philosophy
- legal picketing
- legal platform
- legal play
- legal point
- legal point of view
- legal policy
- legal portion
- legal position
- legal positivism
- legal positivist
- legal possession
- legal power
- legal practice
- legal practitician
- legal practitioner
- legal precept
- legal predecessor
- legal prerequisite
- legal presumption
- legal presumption of death
- legal principle
- legal privilege
- legal problem
- legal procedure
- legal procedure publicity
- legal procedures
- legal proceeding
- legal proceedings
- legal process
- legal profession
- legal profession member
- legal professional
- legal professional privilege
- legal prohibition
- legal proposition
- legal propriety
- legal prosecution
- legal protectee
- legal protection
- legal protection of software
- legal provision
- legal psychiatry
- legal purism
- legal purist
- legal qualification
- legal question
- legal rationale
- legal realism
- legal reality
- legal reasoning
- legal recognition
- legal recourse
- legal redress
- legal reference
- legal reform
- legal reformer
- legal regime
- legal regulation
- legal rehabilitation
- legal rehabilitation
- legal relations
- legal relationship
- legal relationships
- legal relative
- legal relativism
- legal relevance
- legal relief
- legal remedy
- legal representation
- legal representative
- legal reputation
- legal requirement
- legal reservation
- legal reserve
- legal residence
- legal resolution
- legal restraint
- legal restriction
- legal right-enforcing
- legal right
- legal rights
- legal risk
- legal rule
- legal safeguard
- legal safety
- legal sanction
- legal scholar
- legal science
- legal scientist
- legal search
- legal secretary
- legal security
- legal self-help
- legal sense
- legal sentence
- legal sentencing
- legal separation
- legal service
- legal services
- legal significance
- legal source
- legal specialist
- legal speech
- legal sphere
- legal spokesman
- legal spouse
- legal staff
- legal standard
- legal state
- legal statement
- legal statistics
- legal status
- legal status of a person
- legal step
- legal storage period
- legal strike
- legal structure
- legal studies
- legal subbranch
- legal sub-branch
- legal subject
- legal subjectivity
- legal submission
- legal subrogation
- legal succession
- legal successor
- legal suit
- legal system
- legal tapping
- legal technicality
- legal technician
- legal technique
- legal techniques
- legal tender
- legal tender note
- legal term
- legal termination
- legal termination of marriage
- legal territory
- legal test
- legal text
- legal theorist
- legal theory
- legal thinker
- legal thinking
- legal thought
- legal title
- legal tool
- legal topic
- legal tradition
- legal training
- legal transaction
- legal treasury note
- legal treatise
- legal treatment
- legal trial
- legal ubiquity
- legal uncertainty
- legal unit
- legal usage
- legal vacuum
- legal validity
- legal venue
- legal view
- legal viewpoint
- legal violence
- legal volition
- legal voter
- legal waiver
- legal wife
- legal wiretap
- legal wiretapping
- legal wording
- legal work
- legal writer
- legal writing
- legal wrong
- legal year -
12 computational
1) требующий выполнения определённого объёма вычислений. Например, highly computational - требующий большого объёма вычисленийсм. тж. computational aerodynamics, computational algorithm, computational bandwidth, computational biology, computational biochemistry, computational bioinformatics, computational capability, computational complexity, computational core, computational geometry, computational grid, computational intelligence, computational linguistics, computational physics, computational psychology, computational mathematics, computational model, computational modeling, computational performance, computational photography, computational power, computational problem, computational procedure, computational process, computational physics, computational psychology, computational resource, computational science, computational structure, computational specification, computational technologyАнгло-русский толковый словарь терминов и сокращений по ВТ, Интернету и программированию. > computational
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13 Behaviorism
A person is changed by the contingencies of reinforcement under which he behaves; he does not store the contingencies. In particular, he does not store copies of the stimuli which have played a part in the contingencies. There are no "iconic representations" in his mind; there are no "data structures stored in his memory"; he has no "cognitive map" of the world in which he has lived. He has simply been changed in such a way that stimuli now control particular kinds of perceptual behavior. (Skinner, 1974, p. 84)Psychology as the behaviorist views it is a purely objective natural science. Its theoretical goal is the prediction and control of behavior. Introspection forms no essential part of its method nor is the scientific value of its data dependent upon the readiness with which they lend themselves to interpretation in terms of consciousness. The behaviorist, in his efforts to get a unitary scheme of animal response, recognizes no dividing line between man and brute. The behavior of man, with all its refinement and complexity, forms only a part of the behaviorist's total scheme of investigation. (Watson, quoted in Fancher, 1979, p. 319)Historical dictionary of quotations in cognitive science > Behaviorism
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