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1 degree of representation
Большой англо-русский и русско-английский словарь > degree of representation
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2 degree of representation
Математика: степень представления (размерность), степень представленияУниверсальный англо-русский словарь > degree of representation
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3 degree of representation
мат.степень представления, размерность представленияEnglish-Russian scientific dictionary > degree of representation
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4 degree
1) градус2) матем. степень; порядок3) сорт, качество4) диплом5) степень, уровень; ступень•degrees to port — мор. градусы левого борта
degrees to starboard — мор. градусы правого борта
to some degree — до некоторой степени; в известной мере
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5 степень представления
Большой англо-русский и русско-английский словарь > степень представления
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6 bounded
1) граничить
2) ограниченный
3) ограниченно
4) разграниченный
5) связанный ∙ absolutely bounded form ≈ абсолютно ограниченная форма absolutely bounded function ≈ ограниченная по абсолютной величине функция absolutely bounded matrix ≈ абсолютно ограниченная матрица algebra of bounded representation type ≈ алгебра с ограниченными степенями представлений algebra of linearly bounded degree ≈ алгебра линейно ограниченной степени almost bounded function ≈ функция, ограниченная почти всюду bounded above function ≈ ограниченная сверху функция bounded above operator ≈ ограниченый сверху оператор bounded above subset ≈ ограниченное сверху подмножество bounded below function ≈ ограниченная снизу функция bounded below operator ≈ ограниченный снизу оператор bounded below subset ≈ ограниченное снизу подмножество bounded closed interval ≈ ограниченный замкнутый интервал bounded distance decoding ≈ декодирование с ограниченным расстоянием bounded from one side ≈ полуограниченный bounded open interval ≈ ограниченный открытый интервал bounded partial quotient ≈ ограниченное неполное частное bounded pure subgroup ≈ ограниченная сервантная подгруппа bounded random variable ≈ ограниченная случайная величина bounded universal hypothesis ≈ ограниченная универсальная гипотеза bounded variable technique ≈ метод ограниченной переменной collectively bounded set ≈ ограниченное в совокупности множество completely bounded set ≈ вполне ограниченное множество completely bounded space ≈ вполне органическое пространство completely bounded statistic ≈ вполне ограниченная статистика derivative of bounded variation ≈ производная с ограниченной вариацией doubly bounded quantifier ≈ ограниченный с двух сторон квантор essentially bounded function ≈ существенно ограниченная функция essentially bounded random variable ≈ существенно ограниченная случайная величина essentially bounded sequence ≈ существенно ограниченная последовательность explicitly bounded function ≈ явно ограниченная функция finitely bounded germ ≈ конечно ограниченный росток function of bounded characteristic ≈ функция с ограниченной характеристикой function of bounded type ≈ функция ограниченного вида function of bounded variation ≈ функция с ограниченным изменением linearly bounded automaton ≈ линейно ориентированный автомат linearly bounded set ≈ линейно ограниченное множество locally bounded curvature ≈ локально ограниченная кривизна locally bounded density ≈ локально ограниченная плотность locally bounded function ≈ локально ограниченная функция locally bounded game ≈ локально ограниченная игра locally bounded space ≈ локально ограниченное пространство metrically bounded functional ≈ метрически ограниченный функционал metrically bounded set ≈ метрически ограниченное множество nontangentially bounded function ≈ нетангенциально ограниченная функция nontangentially bounded integral ≈ некасательно ограниченный интеграл order bounded functional ≈ ограниченный по упорядоченности функционал pointwise bounded function ≈ точечно ограниченная функция polynomially bounded function ≈ полиномиально ограниченная функция process with bounded aftereffect ≈ процесс с ограниченным последействием progressively bounded graph ≈ прогрессивно ограниченный граф recursively bounded quantifier ≈ рекурсивно ограниченный квантор regressively bounded graph ≈ регрессивно ограниченный граф relatively bounded form ≈ относительно ограниченная форма sequentially bounded net ≈ последовательно ограниченная сеть simply bounded subset ≈ поточечно ограниченное подмножество smoothly bounded region ≈ гладко ограниченная область stochastically bounded sequence ≈ стохастически ограниченная последовательность strictly bounded set ≈ строго ограниченное множество strongly bounded set ≈ сильно ограниченное множество strongly bounded space ≈ сильно ограниченное пространство theor of semigroups of linear bounded operators ≈ теория полугрупп линейных ограниченных операторов topology of bounded convergence ≈ топология ограниченной сходимости totally bounded measure ≈ вполне ограниченная мера totally bounded set ≈ вполне ограниченное множество totally bounded space ≈ вполне ограниченное пространство totally bounded subset ≈ вполне ограниченное подмножество totally bounded uniformity ≈ вполне ограниченная равномерность uniformly bounded convergence ≈ равномерно ограниченная сходимость uniformly bounded curvature ≈ равномерно ограниченная кривизна uniformly bounded error ≈ равномерно ограниченная ошибка uniformly bounded family ≈ равномерно ограниченное семейство uniformly bounded function ≈ равномерно ограниченная функция uniformly bounded kernel ≈ равномерно ограниченное ядро uniformly bounded sequence ≈ равномерно ограниченная последовательность uniformly bounded series ≈ равномерно ограниченный ряд uniformly bounded set ≈ равномерно ограниченное множество uniformly bounded variation ≈ равномерно ограниченная вариация weakly bounded set ≈ слабо ограниченное множество weakly bounded subset ≈ слабо ограниченное подмножество - almost bounded - bounded above - bounded acceptor - bounded accuracy - bounded adele - bounded aggregate - bounded approximation - bounded automaton - bounded axonometry - bounded below - bounded characteristic - bounded collection - bounded compactness - bounded completeness - bounded continuum - bounded convergence - bounded curvature - bounded decomposition - bounded deficiency - bounded degree - bounded derivation - bounded derivative - bounded deviation - bounded difference - bounded distribution - bounded domain - bounded duality - bounded extension - bounded field - bounded flow - bounded form - bounded frontier - bounded function - bounded functional - bounded group - bounded homomorphism - bounded index - bounded integral - bounded integrand - bounded intersection - bounded invertibility - bounded kernel - bounded language - bounded lattice - bounded mapping - bounded martingale - bounded matrix - bounded measure - bounded metric - bounded module - bounded monotonicity - bounded morphism - bounded motion - bounded network - bounded norm - bounded operator - bounded order - bounded path - bounded polyhedron - bounded potential - bounded predicate - bounded problem - bounded product - bounded projection - bounded quality - bounded quantification - bounded quantifier - bounded quantity - bounded quotient - bounded region - bounded representation - bounded retract - bounded semigroup - bounded sequence - bounded series - bounded set - bounded solution - bounded space - bounded spectrum - bounded spline - bounded string - bounded subset - bounded subtraction - bounded sum - bounded summand - bounded support - bounded term - bounded topology - bounded transformation - bounded utility - bounded variance - bounded variation - bounded varying - bounded vector - essentially bounded - explicitly bounded - exponentially bounded - power bounded - uniformly bounded - weakly bounded (математика) ограниченный -
7 language
ˈlæŋɡwɪdʒ сущ. язык а) (как способ и средство общения) речь to butcher, murder a language ≈ искажать язык to enrich a language ≈ обогащать язык to learn, master a language ≈ учить язык to plan a language ≈ регулировать язык to purify a language ≈ очищать язык (проведение некоторых мер по выведению из языка тех или иных пластов лексики или грамматических форм) to speak (in) a, to use a language ≈ говорить на языке to standardize a language ≈ стандартизировать язык international, world language ≈ международный язык, язык международного общения dead, extinct language ≈ мертвый язык language acquisition ≈ обучение языку language maintenance ≈ поддержание (знания) языка spoken language ≈ разговорный язык written language ≈ письменный язык native language ≈ родной язык foreign language ≈ иностранный язык national language ≈ национальный язык official language ≈ официальный язык second language ≈ второй язык universal language ≈ универсальный язык formal language ≈ язык официального общения idiomatic language ≈ язык, богатый идиомами nontechnical language ≈ нетехнический язык substandard language ≈ язык, не соответствующий языковой норме technical language ≈ технический язык ancient language ≈ древний язык classical language ≈ классический язык creolized language ≈ креолизованный язык living language ≈ живой язык modern language ≈ современный язык natural language ≈ естественный язык trade language ≈ язык торгового общения agglutinative language ≈ агглютинативный язык inflecting language ≈ флективный язык isolating language ≈ изолирующий язык synthetic language ≈ синтетический язык tone language ≈ язык с тоновым ударением б) (как знаковая система) sign language ≈ язык знаков artificial language ≈ искусственный язык finger language ≈ язык жестов, язык глухонемых в) (языковой или литературный стиль;
язык писателя) the language of Shakespeare ≈ язык Шекспира bad, coarse, crude, dirty, foul, nasty, obscene, offensive, unprintable, vile, vulgar language ≈ грубый, грязный, неприличный, оскорбительный, непечатный, вульгарный язык rough, strong, vituperative language ≈ грубый, бранный язык everyday, plain, simple language ≈ простой, повседневный язык flowery language ≈ цветистый язык (богатый метафорами, сравнениями и др. литературными тропами) colloquial, informal language ≈ язык неофициального общения, разговорный язык literary, standard language ≈ литературный язык abusive language ≈ брань, ругательства children's language ≈ детский язык diplomatic language ≈ дипломатический язык polite language ≈ вежливый язык rich language ≈ богатый язык Syn: wording г) (как способ кодирования) object, target language ≈ язык, на который переводят source language ≈ язык, с которого переводят (в машинном переводе) computer language machine language programming language язык - the Russian * русский язык - finger * язык жестов, язык глухонемых - living * живой язык - working * рабочий язык (в международных организациях) - the working *s of this committee are English and Russian рабочими языками этого комитета являются русский и английский - * arts (американизм) обучение чтению, письму, литературе, словесность (школьный предмет) - * shift переключение на другой язык (о говорящем на иностранном языке) - * department отдел переводов (ООН) - a degree in *s диплом об окончании филологического факультета или института иностранных языков - science of * языкознание речь - spoken * разгговорный язык;
устная речь - written * письменость;
письменный язык - articulate * членораздельная речь - literary * литературный язык - substandard * просторечие - he has a great command of * он прекрасно владеет языком, у него прекрасная речь характер языка;
стиль, слог - fine * изысканный язык, цветистый стиль - strong * сильные выражения - bad * сквернословие - * of poetry язык поэзии - business * деловая речь;
язык деловой переписки - * of law юридический язык - diplomatic * дипломатический язык - the * of Shakespeare язык Шекспира (дипломатическое) формулировка( компьютерное) язык программирования ЭВМ > not to speak the same * совершенно не понимать друг друга > they don't speak the same * они говорят на разных языках algorithmic ~ вчт. алгоритмический язык algorithmical ~ вчт. алгоритмическый язык applicative ~ вчт. функциональный язык artifical ~ вчт. искусственный язык artificial ~ вчт. искусственный язык assembler ~ вчт. язык ассемблера assembly ~ вчт. язык ассемблера authoring ~ вчт. язык для автоматизации творческой работы block-structured ~ вчт. язык с блочной структурой boolean-based ~ вчт. язык булевых операторов command ~ вчт. командный язык compiled ~ вчт. транслируемый язык compiler ~ вчт. язык транслятора computer ~ вчт. машинный язык computer-dependent ~ вчт. машинно-зависимый язык computer-oriented ~ вчт. машинно-ориентированный язык computer-sensitive ~ вчт. машинно-зависимый язык constraint ~ вчт. декларативный язык context-free ~ вчт. контекстно-свободный язык conversational ~ вчт. диалоговый язык conversational ~ вчт. язык диалога data definition ~ вчт. язык определения данных data description ~ вчт. язык описания данных data description ~ вчт. язык определения данных data ~ вчт. язык описания данных data manipulation ~ вчт. язык манипулирования данными data-base ~ вчт. язык базы данных data-query ~ вчт. язык запросов declarative ~ вчт. декларативный язык design ~ вчт. язык проектирования end-user ~ вчт. язык конечного пользователя extensible ~ вчт. расширяемый язык ~ язык;
речь;
finger language язык жестов, язык глухонемых foreign ~ иностранный язык formal ~ формальный язык frame ~ вчт. фреймовый язык high-level ~ вчт. язык высокого уровня host ~ вчт. включающий язык human ~ естественный язык language разг. брань (тж. bad language) ;
I won't have any language here прошу не выражаться inflected ~ флективный язык information retrieval ~ информационно- поисковый язык information retrieval ~ информационно-поисковый язык input ~ вчт. входной язык interactive ~ вчт. диалоговый язык interpreted ~ вчт. интерпретируемый язык kernel ~ вчт. базовый язык knowledge representation ~ вчт. язык представления знаний language разг. брань (тж. bad language) ;
I won't have any language here прошу не выражаться ~ стиль;
язык писателя;
the language of Shakespeare язык Шекспира ~ язык ~ язык;
речь;
finger language язык жестов, язык глухонемых ~ стиль;
язык писателя;
the language of Shakespeare язык Шекспира ~ of the case язык судебного делопроизводства legal ~ юридический язык legal ~ язык права low-level ~ вчт. язык низкого уровня machine ~ вчт. машинный язык machine-dependent ~ вчт. машинно-зависимый язык machine-independent ~ вчт. машинно-независимый язык machine-oriented ~ вчт. машинно-ориентрированный язык macro ~ вчт. макроязык macroinstruction ~ вчт. язык макрокоманд memory management ~ вчт. язык управления памятью meta ~ вчт. метаязык minority ~ язык национального меньшинства mnemonic ~ вчт. символический язык national ~ государственный язык native ~ вчт. собственный язык машины natural ~ вчт. естественный язык nonprocedural ~ вчт. непроцедурный язык object ~ вчт. объектный язык official ~ официальный язык original ~ исходный язык parallel ~ вчт. язык параллельного программирования predicate ~ вчт. язык предикатов problem statement ~ вчт. язык постановки задачи problem-oriented ~ вчт. проблемно-ориентированный язык procedural ~ вчт. процедурный язык procedural ~ процедурный язык procedure-oriented ~ вчт. процедурно ориентированный язык production ~ вчт. продукционный язык program ~ вчт. язык программирования programming ~ вчт. язык программирования query ~ вчт. язык запросов register transfer ~ вчт. язык межрегистровых пересылок regular ~ вчт. регулярный язык relational ~ вчт. реляционный язык representation ~ вчт. язык представлений restricted ~ вчт. упрощенная версия языка rule ~ вчт. язык правил rule-based ~ вчт. язык продукционных правил rule-oriented ~ вчт. язык логического программирования script ~ вчт. язык сценариев serial ~ вчт. язык последовательного программирования source ~ вчт. исходный язык source ~ cmp. исходный язык specification ~ вчт. язык спецификаций subset ~ вчт. подмножество языка symbolic ~ вчт. символический язык symbolic ~ comp. символический язык system ~ вчт. системный язык tabular ~ вчт. табличный язык target ~ вчт. выходной язык target ~ выходной язык target ~ объектный язык threaded ~ вчт. язык транслируемый в шитый код typed ~ вчт. широко используемый язык typeless ~ вчт. безтиповый язык unchecked ~ вчт. язык без контроля типов untyped ~ вчт. язык без контроля типов update ~ вчт. язык корректирующих запросов user ~ вчт. язык пользователя world ~ международный языкБольшой англо-русский и русско-английский словарь > language
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8 algebra
algebra with minimality condition — алгебра с условием минимальности, алгебра с условием обрыва убывающих цепей
algebra with maximality condition — алгебра с условием максимальности, алгебра с условием обрыва возрастающих цепей
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9 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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10 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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11 covariant
ковариантный, соизменимый axial vector covariant ≈ псевдовекторный ковариант covariant local system ≈ ковариантная локальная система doubly covariant tensor ≈ дважды ковариантный тензор generally covariant form ≈ общековариантная форма pure covariant functor ≈ чисто ковариантный функтор - absolute covariant - affine covariant - analytical covariant - bilinear covariant - covariant affinor - covariant argument - covariant bundle - covariant calculation - covariant charge - covariant components - covariant coordinates - covariant degree - covariant derivation - covariant derivative - covariant differential - covariant differentiation - covariant differentiator - covariant domain - covariant element - covariant expression - covariant extension - covariant field - covariant formalism - covariant functor - covariant generalization - covariant index - covariant integration - covariant mapping - covariant matrix - covariant method - covariant normalization - covariant operator - covariant order - covariant property - covariant quantity - covariant representation - covariant sequence - covariant spinor - covariant stack - covariant tensor - covariant type - covariant valence - covariant vector - covariant vertor - generally covariant - modular covariant - multilinear covariant - multiple covariant - projective covariant - pseudoscalar covariant - regular covariant - relative covariant - simple covariant - tensor covariant - total covariant - unitary covariant - universal covariant - vector covariant (математика) ковариантныйБольшой англо-русский и русско-английский словарь > covariant
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12 art
art [α:t]1. nouna. art m2. compounds► art college noun ≈ école f des beaux-arts► art school noun ≈ école f des beaux-arts► Arts degree noun ≈ licence f ès lettres* * *[ɑːt] 1.1) (creation, activity, representation) art m2.arts plural noun1) ( culture)2) University lettres fpl3)arts and crafts — gen artisanat m; ( school subject) travaux mpl manuels
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13 group
1) группа, ансамбль || групповой- roughing mill group2) совокупность; комплект3) группировка || группировать(ся)5) класс; категория || классифицировать; категоризировать6) хим. остаток7) сгусток; скопление8) узел9) матем. группа- absolute free group - absolute homotopy group - absolutely irreducible group - absolutely simple group - additively written group - adele group - adelic group - algebraically compact group - algebraically simple group - almost connected group - almost cyclic group - almost ordered group - almost periodic group - almost simple group - alternating form group - cancellative group - cellular homology group - characteristically simple group - complementing group - completely anisotropic group - completely discontinuous group - completely divisible group - completely indecomposable group - completely integrally closed group - deficient group - direct homology group - direct indecomposable group - doubly transitive group - finitely defined group - finitely generated group - finitely presented group - finitely related group - first homology group - first homotopy group - freely generated group - full linear group - full orthogonal group - full rotation group - full symmetric group - full unimodular group - group of classes of algebras - group of covering transformations - group of finite rank - group of infinite order - group of infinite rank - group of inner automorphisms - group of linear equivalence - group of linear forms - group of linear manifold - group of principal ideles - group of real line - group of recursive permutations - group of right quotients - idele class group - linearly ordered group - linearly transitive group - locally bicompact group - locally closed group - locally compact group - locally connected group - locally cyclic group - locally defined group - locally embeddable group - locally finite group - locally free group - locally infinite group - locally nilpotent group - locally normal group - locally solvable group - multiply primitive group - multiply transitive group - nonsolvable group - n-th homotopy group - ordered pair group - principal congruence group - properly orthogonal group - properly unimodular group - pure projective group - pure rotation group - pure simple group - quasipure projective group - quotient divisible group - residually nilpotent group - restricted holonomy group - sharply transitive group - simply ordered group - simply reducible group - simply transitive group - singular cogomology group - singular homology group - solvable group - stable group - strictly transitive group - strongly polycyclic group - subsolvable group - supersolvable group - totally ordered group - totally projective group - totally reducible group - triply transitive group - unitary symmetry group - unitary transformation group - value group - weak homology group - weakly mixing groupgroup with multiple operators — группа с многоместными операторами, мультиоператорная группа
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14 Mark
1. n Марк2. n знакinterrogation mark, mark of interrogation — вопросительный знак
mark of accent — ударение, знак ударения
trade mark — фабричная марка; фабричный знак; товарный знак
textual mark — корректурный знак, проставляемый в тексте
3. n метка, пометкаcontaining mark — метка сосуда, калиброванного на наливание
tank "full" mark — отметка верхнего уровня топливного бака
4. n штамп, штемпель5. n клеймо, тавро; фабричная марка, фабричное клеймо; торговый знак6. n штемпель7. n ярлык; ценник8. n ориентир; метка; зарубка; веха9. n отметка, черта10. n спорт. линия старта, стартto get off the mark — стартовать, взять старт
11. n спорт. линия финиша12. n шрам, рубец; порез; царапинаarrow mark — веерообразная царапина; «комета»
scratch mark — царапина; риска
13. n след, отпечаток14. n пятно, родинка15. n норма; стандарт; уровеньto be near the mark — приближаться к принятой норме, приближаться к принятому стандарту
datum mark — базис, репер, отметка уровня
16. n отметка, балл, оценкаthe highest mark — высший балл, высшая оценка
she got top marks in the exam — она сдала экзамен на «отлично»
17. n цель; мишеньto overshoot the mark — стрелять с перелётом, давать перелёт
you have overshot the mark — ты зашёл слишком далеко, это ты хватил
off the mark — неточно; ошибочно, неправильно, неверно
you are right off the mark — ты ошибаешься; ты попал пальцем в небо
he was afraid to become a mark for talkers — он опасался стать мишенью для признак, показатель
18. n известность; значительностьa man of mark — известный человек; значительный человек; человек, достойный внимания
of great mark — очень известный, заслуживающий внимания
of little mark — малоизвестный, не стоящий внимания
19. n ист. рубеж, граница; марка20. n ист. марка, крестьянская община в средневековой Германии21. n ист. спорт. жарг. подложечная ямка22. n ист. груб. то, что по вкусуfield mark — метка поля; маркер поля
23. n ист. лингв. помета, знак; признак24. n ист. стирание зубов у лошади, по которому можно определить её возрастto toe the mark — подчиняться требованиям, строго придерживаться правил; выполнять свой долг;
25. v ставить знак, меткуdot mark — точка; метка в виде точки
end mark — метка конца; маркер конца
26. v штамповать, штемпелевать27. v клеймить, таврить28. v маркировать; ставить фабричную марку, фабричное клеймо или торговый знакall furs are plainly marked as to the country of origin — на всех шкурках стоит клеймо страны-экспортёра
long mark — знак долготы,
29. v ставить расценку30. v отмечать, обозначать; размечать; расставлять указательные знакиhe marked the passage I was to read — он отметил отрывок, который мне следовало прочесть
31. v наносить32. v отмечать; указыватьthe thermometer marked 40° in the shade — термометр показывал 40 градусов в тени
33. v оставлять след, пятноthe wet cups have marked the table badly — стол испортили, потому что ставили на него мокрые чашки
34. v оставаться35. v оставлять шрам, рубец36. v оставлять след, отпечатокher face was marked with suffering — по её лицу было видно, что она много страдала в жизни
37. v иметь родимые пятна или естественные метиныhole registration mark — световое пятно, используемое для приводки
38. v выставлять отметку, балл39. v выставлять балл40. v вести счёт, записывать очки41. v отмечать, характеризовать; отличать, выделятьgreat scientific discoveries marked the 19th century — девятнадцатый век был отмечен великими научными открытиями
qualities which mark him off from his colleagues — качества, которые отличают его от его коллег
42. v отмечать, ознаменовыватьhe called for champaign to mark the event — он велел подать шампанского, чтобы отпраздновать это событие
43. v выражать, проявлять44. v замечать, запоминать45. v поэт. замечать, наблюдать46. v книжн. назначать, предназначать; предопределятьhe was marked for greatness by his extraordinary talents — при таких необыкновенных способностях его, несомненно, ждало большое будущее
47. v опекать, прикрыватьСинонимический ряд:1. blemish (noun) blemish; dent; scar; scratch; stain2. effect (noun) consequence; effect; impact; influence; manifestation; repercussion; result3. fool (noun) butt; chump; dupe; easy mark; fall guy; fish; fool; gudgeon; gull; monkey; patsy; pigeon; sap; saphead; simple; sitting duck; sucker; target; tool; victim4. imprint (noun) blaze; impression; imprint; underlining5. indication (noun) evidence; index; indication; indicator; indicia; sign; significant; signification; stamp; symbol; symptom; token; witness6. logo (noun) badge; brand; emblem; label; logo; logotype; representation; trade mark; trademark7. note (noun) distinction; eminence; glory; illustriousness; lustre; notability; note; pre-eminence; prestige; prominence; renown8. notice (noun) attention; cognisance; cognizance; ear; heed; notice; observance; observation; regard; remark9. quality (noun) affection; attribute; character; characteristic; difference; feature; idiosyncrasy; peculiarity; property; quality; savor; savour; trait; virtue10. test (noun) benchmark; criterion; gauge; measure; standard; test; touchstone; yardstick11. use (noun) aim; ambition; bull's-eye; duty; function; goal; object; objective; purpose; quaesitum; use12. aim for (verb) aim for; target13. argue (verb) argue; attest; bespeak; betoken; point to; testify; witness14. beat (verb) beat; count15. brand (verb) brand; earmark; impress16. characterize (verb) characterise; characterize; individualize; individuate; qualify; signalize; singularize17. choose (verb) choose; cull; elect; opt for; optate; pick; pick out; prefer; select; single out; take18. deface (verb) deface; disfigure; grade; score19. denote (verb) denote; designate; indicate20. dirty (verb) dirty; soil; stain21. distinguish (verb) differentiate; discriminate; distinguish; individualise; set apart; signalise22. imprint (verb) blaze; identify; imprint; inscribe; label; print; sign; tag23. see (verb) behold; descry; discern; espy; mind; note; notice; observe; perceive; remark; see; twig; view24. show (verb) chronicle; demonstrate; evidence; evince; exhibit; illustrate; list; manifest; ostend; proclaim; read; record; register; say; showАнтонимический ряд:clean; conceal; ignore; obliteration; omit; overlook; plainness -
15 plan
1. n план, программа действийfive-year plan — пятилетний план, пятилетка
2. n проектa building erected after the plans of an eminent architect — здание, воздвигнутое по проекту известного архитектора
3. n чертёж; схема; диаграмма4. n горизонтальная проекция5. n крупномасштабная карта, план6. n замысел, план, намерение7. n способ действийthe best plan would be … — самое лучшее будет …
game plan — запланированный ряд действий; стратегия
8. n цель, задача9. n церк. расписание служб на кварталuni-service plan — план, составленный одной службой
10. v составлять план, планировать11. v строить планы; намереваться, затеватьto plan for the future — строить планы на будущее; думать о будущем
12. v распланировать; запланироватьplan on — планировать; план
Синонимический ряд:1. course (noun) approach; attack; course; line; procedure; tack; technique2. drawing (noun) chart; diagram; draft; drawing; map; outline; representation; sketch3. end (noun) aim; ambition; animus; end; goal; intendment; intent; intention; meaning; objective; point; purpose; target; view4. order (noun) method; order; orderliness; pattern; system5. scheme (noun) blueprint; conception; contrivance; design; formula; game plan; idea; layout; premeditation; project; schema; scheme; strategy6. chart (verb) chart; organize; outline; prepare7. design (verb) arrange; blueprint; cast; concoct; contrive; delineate; design; devise; draw up; frame; illustrate; lay out; map; map out; plot; project; set out8. mean (verb) aim; contemplate; intend; mean; project; propose; purpose
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