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1 underlying reason
Большой англо-русский и русско-английский словарь > underlying reason
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2 underlying reason
Общая лексика: подоплёка -
3 underlying reason
причина, лежащая в основе; основной мотивАнгло-русский большой универсальный переводческий словарь > underlying reason
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4 underlying reason
причина, лежащая в основе; основной мотив -
5 reason
ˈri:zn
1. сущ.
1) разум, рассудок, ум, интеллект bereft of reason Syn: mind, brain, intellect, mentality
2) благоразумие, здравомыслие;
здравый смысл within reason ≈ в пределах разумного to stand to reason ≈ быть ясным, понятным;
казаться само собой разумеющимся It stands to reason that the majority party will be reelected. ≈ Кажется разумным, что снова будет избрана партия большинства. I'll do anything for you within reason. ≈ Я сделаю для Вас все в пределах разумного. sound reason Syn: prudence, discretion
3) а) причина, повод, основание, основа by reason of ≈ по причине;
из-за to have a reason for not going ≈ иметь уважительную причину, чтобы не идти( куда-л.) The real reason behind their decision was never made public. ≈ Настоящая причина этого решения никогда не объявлялась. The reason that/why she did it is a mystery. ≈ По какой причине она это сделала, остается загадкой. He quit for personal reasons. ≈ Он уволился по личным причинам. cogent reason compelling reason convincing reason every reason plausible reason strong reason sufficient reason underlying reason urgent reason valid reason б) соображение, мотив;
довод, аргумент;
оправдание (against;
behind;
for) personal reason
2. гл.
1) рассуждать, размышлять (about, of, upon - о чем-л.) ;
делать выводы Syn: think, consider
2) убеждать, уговаривать( into) to reason out of smth. ≈ разубеждать в чем-л. to reason with smb. ≈ урезонивать кого-л. reason into
3) аргументировать, обосновывать;
доказывать, приводить доводы a carefully reasoned analysis ≈ тщательно аргументированный анализ Syn: argue
4) уст. обсуждать, дискутировать Syn: discuss ∙ reason against reason away reason out reason with Syn: argue причина;
основание - the * of eclipses причина затмений - what is the * of the tides? почему бывают приливы? - what is the * of the dew? почему выпадает роса? - she had a * for laughing у нее была причина для смеха - by * of..., for the * that... по причине того, что..., из-за того, что... - the scheme failed by * of bad organization этот план провалился из-за плохой организации - for no other * than that I forgot( разговорное) по той простой причине, что я забыл - for *s beyond control по независящим обстоятельствам - with * с основанием, по основательным причинам - not without * не без основания - with good * с полным правом /основанием/, совершенно обоснованно - he complains with * у него есть основания жаловаться( субъективное) основание, мотив, соображение;
оправдание - for economy *s по соображениям экономии - for family *s по семейным обстоятельствам - for *s of State обыкн. (ироничное) по государственным соображениям - *s for and against doing smth. соображения за и против какого-л. поступка - to give *s for one's preference обосновать свой выбор - to give *s for doing smth. объяснить свои поступки;
изложить мотивы, по которым что-л. должно быть сделано - to prove with *s доказать аргументами, представить резонные соображения - I saw * to suspect him у меня были основания подозревать его - I have good * to fear that... у меня все основания /я имею полное право/ опасаться, что... - I have good *s for doing this я имею полное право поступать так - did he give any *? он привел какие-л. доводы?;
он что-нибудь привел в свое оправдание? - give me your *s for refusing мотивируйте свой отказ, изложите мотивы вашего отказа - alleging as his * that... мотивируйте тем, что... - the * behind the proposal мотивировка предложения - for *s best known to oneself( разговорное) по каким-то таинственным соображениям - I see no * to do this не вижу никакой необходимости делать это - all the more * for going /why I should go/ (мне) тем более следует уехать - the * why I dislike him is... он мне не нравится потому, что... объяснение, обоснование;
мотивированное заявление - a woman's * (ироничное) женская логика - *s adduced (юридическое) мотивы постановления суда - to give /to yield, to render/ (a) * предоставить (дать) объяснения (своему поведению и т. п.) (логика) малая посылка( силлогизма) разум, интеллект - pure * (философское) чистый разум - only man has * только человек - существо разумное здравый рассудок (в противоп. сумасшествию) - bereft of * умалишенный - to lose one's * сойти с ума, помешаться - his * failed him utterly его рассудок совершенно помутился - he was restored to * к нему вернулся рассудок (о сумасшедшем) часто( разговорное) здравый смысл, благоразумие, здравомыслие - to bring smb. to * образумить кого-л. - to listen to /to hear/ * внять доводам рассудка;
прислушаться к голосу разума - to speak /to talk/ * говорить /судить/ здраво - you can't make him listen to *, he will not listen to * он и слышать ничего не хочет, его не убедишь - there is * in what you say в том, что вы говорите, есть здравый смысл - contrary to * идущий вразрез со здравым смыслом - it is quite within * to suggest... благоразумно предположить...;
здраво рассуждая, можно предположить... - in * в разумных пределах;
в соответствии со здравым смыслом;
разумно - everything in * всему есть мера - to pay anything in * заплатить любую разумную цену - it is not in * to expect me to... было бы неразумно /странно/ ожидать, что я... - I'm willing to do anything in * в разумных пределах я готов сделать все - out of all * чрезмерный;
ни в какие ворота не лезет - the price is out of all * это несусветная цена - it cost me a sum out of all * я заплатил за это бешеные деньги - it stands to * разумеется;
понятно;
ясно;
очевидно( в ответах) ;
здравый смысл подсказывает - it stands to * that... всякому здравомыслящему человеку понятно, что...;
отсюда явно следует, что... - as in * как и следовало ожидать;
как и следует - as * was как подсказывал здравый смысл (редкое) разумный поступок;
(благо) разумное поведение - it is *, * is это (будет) благоразумно - it is no /not/ * это (будет) неразумно - it is but * that I should rejoice вполне понятно, что я радуюсь размышлять, рассуждать (логически) ;
делать выводы, умозаключать - to * about /of, on, upon/ a subject обдумывать что-л.;
размышлять /раздумывать, рассуждать/ о каком-л. предмете - to * from premises делать вывод из посылок;
сделать логический вывод - to * from past experience сделать выводы из опыта прошлого - to * that... прийти к выводу, что... - we must * from what is probable мы должны исходить из вероятности - I * in this way on the matter я прихожу к такому выводу по этому вопросу;
я так рассуждаю /сужу/ об этом деле мыслить - the ability to * makes man different from animals способность мыслить отличает человека от животного обсуждать;
дебатировать, дискутировать;
рассуждать (вслух) - to * what is to be done обсуждать, что (нужно) сделать - to * why smth. was done рассуждать о том, почему что-л. было сделано ( with) уговаривать, урезонивать (кого-л.) - we *ed with him for an hour мы целый час его урезонивали /пытались его убедить/ (into) уговорить, убедить ( в чем-л.) - to * smb. into smth. /into doing smth./ уговорить кого-л. сделать что-л. - to * smb. into obedience уговорить кого-л. подчиниться( out of) разубеждать (в чем-л.) - to * smb. out of smth. /out of doing smth./ отговорить кого-л. от чего-л.;
разубедить кого-л. - to * smb. out of his fears убедить кого-л. в неосновательности его опасений - to * smb out of a false belief убедить кого-л. в неосновательности его убеждения преим. р.р. обосновывать, аргументировать;
доказывать - to * that... аргументировать /мотивировать/ тем, что...;
приводить в качестве довода то, что... - you must * your case a bit more вы должны лучше обосновать /аргументировать/ свою позицию - his speech was admirably *ed его выступление было прекрасно аргументировано (with) (устаревшее) (библеизм) спорить или беседовать( с кем-л.) > their's not to * why (Tennyson) не их дело рассуждать о причинах actual ~ истинная причина bereft of ~ без сознания, без чувств bereft of ~ умалишенный ~ разум, рассудок;
благоразумие;
to bring to reason образумить;
to hear (или to listen to) reason прислушаться к голосу разума;
to lose one's reason сойти с ума ~ причина, повод, основание;
соображение, мотив;
довод, аргумент;
оправдание;
by reason of по причине;
из-за by ~ of its general sense по своему общему смыслу cogent ~ убедительная причина compelling ~ неопровержимый довод to give reasons (for smth.) объяснить причины (чего-л.), сообщить свои соображения (по поводу чего-л.) with (или not without) ~ не без основания;
he complains with reason он имеет все основания жаловаться ~ разум, рассудок;
благоразумие;
to bring to reason образумить;
to hear (или to listen to) reason прислушаться к голосу разума;
to lose one's reason сойти с ума ~ разум, рассудок;
благоразумие;
to bring to reason образумить;
to hear (или to listen to) reason прислушаться к голосу разума;
to lose one's reason сойти с ума primary ~ основная причина reason аргумент ~ аргументировать;
доказывать;
reason out продумать до конца ~ излагать мотивы ~ интеллект ~ мотив ~ обсуждать ~ основание ~ причина, повод, основание;
соображение, мотив;
довод, аргумент;
оправдание;
by reason of по причине;
из-за ~ причина ~ разум, рассудок;
благоразумие;
to bring to reason образумить;
to hear (или to listen to) reason прислушаться к голосу разума;
to lose one's reason сойти с ума ~ разум ~ рассуждать (about, of, upon - о чем-л.) ~ соображение ~ убеждать, уговаривать (into) ;
to reason out (of smth.) разубеждать (в чем-л.) ;
to reason (with smb.) урезонивать (кого-л.) ~ убеждать, уговаривать (into) ;
to reason out (of smth.) разубеждать (в чем-л.) ;
to reason (with smb.) урезонивать (кого-л.) ~ for remission of sentence основание для освобождения от наказания ~ for termination основание для прекращения ~ of complaint основание для подачи жалобы ~ of complaint основание для подачи иска ~ аргументировать;
доказывать;
reason out продумать до конца ~ убеждать, уговаривать (into) ;
to reason out (of smth.) разубеждать (в чем-л.) ;
to reason (with smb.) урезонивать (кого-л.) ~ to believe основание считать strong ~ веское основание strong: ~ сильный, веский;
серьезный;
strong sense of disappointment сильное разочарование;
strong reason веская причина valid ~ веское соображение valid ~ убедительный довод with (или not without) ~ не без основания;
he complains with reason он имеет все основания жаловаться -
6 reason
['riːz(ə)n] 1. сущ.1)а) причина, повод, основаниеby reason of — по причине; из-за
to have a reason for not going — иметь уважительную причину, чтобы не идти (куда-л.)
The real reason behind their decision was never made public. — Настоящая причина их решения так и осталась неизвестной.
- convincing reasonThe reason why she did it is a mystery. — По какой причине она это сделала, остается загадкой.
- compelling reasons
- every reason
- plausible reason
- strong reason
- urgent reason
- valid reason
- sufficient reason
- underlying reasonб) соображение, мотив; оправданиеHe quit for personal reasons. — Он уволился по личным причинам.
2) разум, рассудок, ум, интеллектSyn:3) благоразумие, здравомыслиеto stand to reason — быть ясным, понятным; казаться само собой разумеющимся
It stands to reason that the majority party will be reelected. — Совершенно ясно, что партия большинства снова будет избрана.
I'll do anything for you within reason. — Я сделаю для вас всё в пределах разумного.
Syn:•Gram:[ref dict="LingvoGrammar (En-Ru)"]Adverbial clause of reason[/ref]2. гл.1) рассуждать, размышлять (о чём-л.); делать выводыSyn:2) убеждать, уговариватьto reason out of smth. — разубеждать в чём-л.
to reason with smb. — урезонивать кого-л.
The teacher tried to reason with the boy but he refused to listen. — Учитель попытался уговорить ребёнка, но тот не хотел и слушать.
See if you can reason the members into agreeing with the plan. — Попробуй убедить членов комитета согласиться с планом.
Can't you reason the boy out of such stupid behaviour? — Можешь ты отучить ребенка от этой дурацкой привычки?
3) аргументировать, обосновывать; доказывать, приводить доводыThe lawyer reasoned against any changes being made in the law. — Юрист высказывал аргументированное возражение против любых изменений в законе.
Syn:4) уст. обсуждать, дискутироватьSyn:• -
7 underlying
* * *under·ˈly·ingadj attr, inv1. GEOG tiefer liegendand what might be the \underlying significance of these supposedly random acts of violence? und was könnte letztlich hinter diesen angeblich zufälligen Gewaltakten stecken?the \underlying reason for her poor results der Grund für ihr dürftiges Abschneiden* * *underlying adj1. darunter liegend3. WIRTSCH vorrangig* * ** * *adj.darunterliegend adj.unterstreichend adj. -
8 underlying
under·'ly·ing adjattr, inv1) geog tiefer liegend2) (real, basic) zugrunde liegend;and what might be the \underlying significance of these supposedly random acts of violence? und was könnte letztlich hinter diesen angeblich zufälligen Gewaltakten stecken?;the \underlying reason for her poor results der Grund für ihr dürftiges Abschneiden -
9 подоплека
жен. hidden motive, underlying reason/cause/basis знать всю подоплеку (чего-л.) ≈ to know all (about), to know the real state (of) ;
to have inside information (on)Большой англо-русский и русско-английский словарь > подоплека
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10 подоплёка
ж. hidden motive, underlying reason.Большой англо-русский и русско-английский словарь > подоплёка
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11 rationale
rationale [‚ræʃə'nɑ:l](a) (underlying reason) logique f;∎ what is the rationale for or behind their decision? quelle logique sous-tend leur décision?(b) (exposition) exposé m -
12 root cause analysis
Gen Mgta technique used in problem solving to identify the underlying reason why something has gone wrong or why a difficulty has arisen. The root cause of a problem may be identified by repeatedly asking the question “Why?”, by examining relationships of cause and effect, or by defining the distinctive features of the problem and developing a number of hypotheses that can be tested. Root cause analysis has been criticized on the grounds that it presupposes a single source for a problem, while in reality the situation may be more complex. -
13 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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14 Cognitive Psychology
The basic reason for studying cognitive processes has become as clear as the reason for studying anything else: because they are there. Our knowledge of the world must be somehow developed from stimulus input.... Cognitive processes surely exist, so it can hardly be unscientific to study them. (Neisser, 1967, p. 5).The task of the cognitive psychologist is a highly inferential one. The cognitive psychologist must proceed from observations of the behavior of humans performing intellectual tasks to conclusions about the abstract mechanisms underlying the behavior. Developing a theory in cognitive psychology is much like developing a model for the working of the engine of a strange new vehicle by driving the vehicle, being unable to open it up to inspect the engine itself....It is well understood from the automata theory... that many different mechanisms can generate the same external behavior. (Anderson, 1980, pp. 12, 17)[Cognitive psychology does not] deal with whole people but with a very special and bizarre-almost Frankensteinian-preparation, which consists of a brain attached to two eyes, two ears, and two index fingers. This preparation is only to be found inside small, gloomy cubicles, outside which red lights burn to warn ordinary people away.... It does not feel hungry or tired or inquisitive; it does not think extraneous thoughts or try to understand what is going on. It is, in short, a computer, made in the image of the larger electronic organism that sends it stimuli and records its responses. (Claxton, 1980, p. 13)4) Cognitive Psychology Has Not Succeeded in Making a Significant Contribution to the Understanding of the Human MindCognitive psychology is not getting anywhere; that in spite of our sophisticated methodology, we have not succeeded in making a substantial contribution toward the understanding of the human mind.... A short time ago, the information processing approach to cognition was just beginning. Hopes were high that the analysis of information processing into a series of discrete stages would offer profound insights into human cognition. But in only a few short years the vigor of this approach was spent. It was only natural that hopes that had been so high should sink low. (Glass, Holyoak & Santa, 1979, p. ix)Cognitive psychology attempts to understand the nature of human intelligence and how people think. (Anderson, 1980, p. 3)6) The Rise of Cognitive Psychology Demonstrates That the Impeccable Peripheralism of Stimulus- Response Theories Could Not LastThe past few years have witnessed a noticeable increase in interest in an investigation of the cognitive processes.... It has resulted from a recognition of the complex processes that mediate between the classical "stimuli" and "responses" out of which stimulus-response learning theories hoped to fashion a psychology that would by-pass anything smacking of the "mental." The impeccable peripheralism of such theories could not last. One might do well to have a closer look at these intervening "cognitive maps." (Bruner, Goodnow & Austin, 1956, p. vii)Historical dictionary of quotations in cognitive science > Cognitive Psychology
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15 Bibliography
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The creative circle: Sketches on the natural history of circularity. In P. Watzlawick (Ed.), The invented reality (pp. 309-324). New York: W. W. Norton.■ Voltaire (1961). On the Penseґs of M. Pascal. In Philosophical letters (pp. 119-146). E. Dilworth (Trans.). Indianapolis: Bobbs-Merrill.■ Wagman, M. (1991a). Artificial intelligence and human cognition: A theoretical inter comparison of two realms of intellect. Westport, CT: Praeger.■ Wagman, M. (1991b). Cognitive science and concepts of mind: Toward a general theory of human and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1993). Cognitive psychology and artificial intelligence: Theory and re search in cognitive science. Westport, CT: Praeger.■ Wagman, M. (1995). The sciences of cognition: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wagman, M. (1996). Human intellect and cognitive science: Toward a general unified theory of intelligence. Westport, CT: Praeger.■ Wagman, M. (1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.■ Wagman, M. (1998b). Language and thought in humans and computers: Theory and research in psychology, artificial intelligence, and neural science. Westport, CT: Praeger.■ Wagman, M. (1998c). The ultimate objectives of artificial intelligence: Theoretical and research foundations, philosophical and psychological implications. Westport, CT: Praeger.■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.■ Wagman, M. (2000). Scientific discovery processes in humans and computers: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.■ Weisberg, R. W. (1986). Creativity: Genius and other myths. 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The psychology of computer vision. New York: McGrawHill.■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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16 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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17 cause
kɔ:z
1. сущ.
1) причина, основание (для действия, состояния, результата) deep-rooted, root, underlying cause ≈ глубокая причина, истинная причина immediate cause ≈ непосредственный источник leading, major cause ≈ главная причина primary cause ≈ основной источник secondary cause ≈ источник второстепенной важности ultimate cause ≈ конечная причина Syn: reason, motive, origin
2) дело;
благое дело, благотворительное предприятие to advance, champion, fight for, promote cause ≈ способствовать развитию какого-л. предприятия to serve a cause ≈ обслуживать какое-л. мероприятие to espouse, plead a cause ≈ отдаваться какому-л. делу to take up a cause ≈ рассматривать какое-л. дело good, just, worthwhile, worthy cause ≈ стоящее дело;
правое дело;
справедливое дело lost cause ≈ проигранное дело to support the cause of the workers ≈ защищать дело рабочего класса the cause of peace ≈ дело мира to make common cause with smb. ≈ объединяться с кем-л. ради общего дела in the cause of science in a good cause
3) юр. уголовное дело, судебный процесс plead a cause Syn: case
4) вопрос, требующий решения/рассмотрения
2. гл. послужить причиной/поводом для чего-л.;
мотивировать что-л. to cause smb. to be informed ≈ поставить кого-л. в известность to cause a thing to be done ≈ велеть что-л. выполнить The ruin of the empire was caused by the loss of freedom and the growth of despotism. ≈ Крушение империи было вызвано потерей свободы и усилением деспотической власти. Syn: effect, bring about, produce, induce, make причина, основание;
- * and effect причина и следствие;
- root *s коренные причины;
- first * of all *s причина всех причин;
- * of death причина смерти;
- the *s of war причины войны;
- to stay away from school without good * пропускать занятия без уважительных причин;
- he is the * of all our troubles все наши беды от него, он является причиной всех бед;
- there is no * for anxiety нет оснований для тревоги мотив, повод, причина;
- just * убедительный мотив;
полное основание, полное право;
- a * of action повод к действиям;
- without * без повода, без оснований, без причин;
беспричинно;
- * for divorce основание для развода;
мотивы, по которым брак должен быть расторгнут;
- * for rejoicing повод для торжества дело;
общее дело;
- the * of peace дело мира;
- the * of the workers дело рабочего класса;
- to make common * with smb. объединяться с кем-л ради общего дела;
- in the * of science ради общего дела;
- in the * of science ради науки;
- he died for the C. он погиб за общее дело;
- good * правое дело;
- to work in a good * бороться за правое дело;
- lost * безнадежное дело;
- to fight in the * of justice бороться за справедливость;
- to fight in the * of the oppressed бороться на стороне угнетенных;
- no one should be judge in his own * никто не может быть судьей в своем собственном деле (юридическое) судебное дело, процесс;
- to plead a * вести процесс, защищать дело в суде;
- to gain one's * выиграть процесс мотивы или соображения, высказываемые стороной;
- to show * привести основания;
представить доводы;
- * of action основание для предъявления иска быть причиной, служить поводом;
вызвать;
причинять;
- what *d his death? от чего он умер?, что стало причиной его смерти?;
- what *s the lides? почему бывают приливы? заставлять;
побуждать;
добиваться;
- he *d me to go он заставил меня уйти;
- it *d my going я ушел из-за этого;
- the King *d him to be put to death он был казнен по приказу короля;
- to * smb. to be informed поставить кого-л в известность;
- he *d the letter to be sent письмо было отправлено по его приказанию;
- we *d the roof to be mended нам починили крышу;
мы починили крышу be the ~ of быть причиной ~ заставлять;
to cause a thing to be done велеть (что-л.) выполнить ~ before the High Court дело, рассматриваемое в Высоком суде (Великобритания) ~ celebre знаменитый судебный процесс ~ of action мотив действия ~ of action основание для предъявления иска ~ of action причина действия ~ of cancellation причина аннулирования ~ of damage причина ущерба ~ of death причина смерти ~ of loss причина ущерба ~ дело;
to support the cause of the workers защищать дело рабочего класса;
the cause of peace дело мира cause быть причиной, причинять, вызывать;
to cause (smb.) to be informed поставить (кого-л.) в известность ~ to rise вызывать рост ~ to rise добиваться увеличения external ~ внешний повод extraneous ~ внешняя причина good ~ достаточное основание to make common ~ (with smb.) объединяться (с кем-л.) ради общего дела;
in the cause of science ради (или во имя) науки;
in a good cause чтобы сделать добро to make common ~ (with smb.) объединяться (с кем-л.) ради общего дела;
in the cause of science ради (или во имя) науки;
in a good cause чтобы сделать добро just ~ судебное дело, имеющее основания main ~ главная причина to make common ~ (with smb.) объединяться (с кем-л.) ради общего дела;
in the cause of science ради (или во имя) науки;
in a good cause чтобы сделать добро common: ~ общий;
common lot общий удел;
common interests общие интересы;
by common consent с общего согласия;
to make common cause действовать сообща ~ юр. дело, процесс;
to plead a cause защищать дело в суде primary ~ дело первостепенной важности proximate ~ непосредственная причина show ~ представлять обоснования show ~ представлять основания show: ~ проявлять;
выставлять, демонстрировать;
to show cause привести оправдание;
he showed me great kindness он проявил ко мне большое участие ~ дело;
to support the cause of the workers защищать дело рабочего класса;
the cause of peace дело мира undefended ~ судебное дело, ведущееся без защиты without due ~ без уважительной причины -
18 motive
ˈməutɪv
1. сущ.
1) мотив, побуждение, повод;
причина;
стимул (behind, for) to establish, find a motive ≈ выяснить, найти мотив to question smb.'s motives ≈ выяснять чьи-л. мотивы altruistic motives ≈ альтруистические побуждения base motives ≈ низменные побуждения humane motives ≈ поступки человека noble, honorable motives ≈ благородные порывы selfish motives ≈ эгоистичные помыслы ulterior motives ≈ тайные побуждения the highest motives ≈ высочайшие побуждения the profit motive ≈ соображения выгоды underlying motive ≈ соображения, лежащие в основе She had no motive to commit the crime. ≈ У нее не было мотивов совершать преступление. The police could not find a motive for the murder. ≈ Полиция не могла найти причины преступления. What is the motive behind the bombing? ≈ Каковы причины бомбардировки? driving motive Syn: incentive, inducement, reason, spur, impulse
2) основная тема, главная мысль, лейтмотив Syn: motif
1)
2. прил. прям. и перен. движущий;
побудительный, стимулирующий;
двигательный Water provides the motive power that operates the mill. ≈ Вода вырабатывает энергию, на которой работает мельница. motive power motive force Syn: impellent
3. гл.
1) а) побуждать The salary was augmented so liberally as to motive his migration. ≈ Жалованье было так сильно повышено, чтобы побудить его к переселению. Syn: induce, prompt, motivate б) служить мотивом, стимулом
2) обыкн. страд. мотивировать;
указывать причину, мотив (тех или иных качеств или поступков) His malice must be motived in some satisfactory way in the play. ≈ Его озлобленность должна быть как-то правдоподобно мотивирована в пьесе. повод, мотив;
побуждение - to act from some *(s) действовать из каких-л. побуждений - to have a * in doing smth. иметь повод /основание/ делать что-л. - I did it from the best * я сделал это из лучших побуждений основная тема, лейтмотив;
главная мысль (специальное) движущий - * power /force/ движущая сила или энергия двигательный (редкое) побудительный побуждать служить мотивом или причиной преим. pass мотивировать, правдоподобно объяснять motiveless не имеющий оснований;
беспочвенный;
немотивированный - a * crime бессмысленное преступление ~ повод, мотив, побуждение;
driving motive движущая сила ~ движущий;
motive power (или force) движущая сила;
энергия power: motive ~ движущая сила precautionary ~ мотив накопления денег на непредвиденные цели speculative ~ спекулятивный мотив -
19 cause
I [kɔːz] 1. сущ.1) причина, основаниеdeep-rooted / root / underlying cause — глубокая причина, истинная причина
leading / major cause — главная причина
Syn:2) дело; цельworthwhile / worthy cause — важное, общественно значимое дело
to advance / champion / fight for / promote / support the cause of peace — защищать, отстаивать дело мира
- in a good causeto make common cause with smb. — действовать сообща, объединяться с кем-л.
- for a good cause3) юр. судебное дело, судебный процессSyn:case I 3)4) вопрос, требующий решения, рассмотрения2. гл.1) послужить причиной, поводом (для чего-л.); мотивировать (что-л.)The ruin of the empire was caused by the loss of freedom and the growth of despotism. — Крушение империи было вызвано потерей свободы и усилением деспотической власти.
Syn:2) заставлять; добиватьсяto cause a thing to be done — заставить сделать что-л.; добиться выполнения чего-л.
II [kɔz] союз; разг.; сокр. от becauseto cause smb. to be informed — поставить кого-л. в известность
потому что, так как, поскольку -
20 motive
['məutɪv] 1. сущ.1) мотив, побуждение, повод; причина; стимулnoble / honorable motives — благородные порывы
underlying motives — соображения, лежащие в основе
to establish / find a motive — выяснить, найти мотив
to question smb.'s motives — выяснять чьи-л. мотивы
She had no motive to commit the crime. — У неё не было мотивов совершать преступление.
The police could not find a motive for the murder. — Полиция не могла найти причины убийства.
Syn:2) основная тема, главная мысль, лейтмотивSyn:motif 1)2. прил.1) движущий- motive forceWater provides the motive power that operates the mill. — Вода - это та движущая сила, которая заставляет работать мельницу.
2) побудительный, стимулирующий•Syn:3. гл.1)а) побуждатьThe salary was augmented so liberally as to motive his migration. — Жалованье было так сильно повышено, чтобы побудить его к переселению.
Syn:б) служить мотивом, стимулом2) обычно страд. мотивировать; указывать причину, мотивHis malice must be motived in some satisfactory way in the play. — Его озлобленность должна быть как-то правдоподобно мотивирована в пьесе.
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См. также в других словарях:
underlying — adjective underlying reason/cause/aim etc the reason, cause etc that is the most important, although it is not easily noticed: the underlying causes of her depression … Longman dictionary of contemporary English
reason — Synonyms and related words: Vernunft, acceptable, accomplishment, account, admissibility, advise with, aim, air, allegorization, ambition, analyze, answer, antecedent, apologia, apology, apply reason, argument, argumentum, ascertainment,… … Moby Thesaurus
reason — n 1. basis, cause, ground, grounds, motive, warrant, occasion, Obs. skill; inducement, inspiration, impetus, incentive; mover, prime mover, agent; instigation, incitement, provocation; stimulation, actuation, fomentation. 2. justification,… … A Note on the Style of the synonym finder
reason — rea·son n 1: an underlying ground, justification, purpose, motive, or inducement required to provide reason s for the termination in writing 2 a: the faculty of comprehending, inferring, or distinguishing esp. in a fair and orderly way b: the… … Law dictionary
underlying principle — index basis, cause (reason), foundation (basis) Burton s Legal Thesaurus. William C. Burton. 2006 … Law dictionary
reason — {{Roman}}I.{{/Roman}} noun 1 cause/motive/justification; explanation of sth ADJECTIVE ▪ cogent, good, sound, strong ▪ compelling, convincing ▪ plausible … Collocations dictionary
reason — I n. cause, justification 1) to cite, give a reason 2) a cogent, compelling, convincing, plausible, sound, strong, urgent reason 3) a logical; personal; underlying; valid reason 4) every reason; (a) sufficient reason 5) a reason against; behind;… … Combinatory dictionary
underlying — adj. Underlying is used with these nouns: ↑assumption, ↑cause, ↑concept, ↑fundamentals, ↑ideology, ↑logic, ↑meaning, ↑mechanism, ↑message, ↑motivation, ↑motive, ↑ … Collocations dictionary
Critique of Pure Reason — Part of a series on Immanuel … Wikipedia
United Kingdom — a kingdom in NW Europe, consisting of Great Britain and Northern Ireland: formerly comprising Great Britain and Ireland 1801 1922. 58,610,182; 94,242 sq. mi. (244,100 sq. km). Cap.: London. Abbr.: U.K. Official name, United Kingdom of Great… … Universalium
education — /ej oo kay sheuhn/, n. 1. the act or process of imparting or acquiring general knowledge, developing the powers of reasoning and judgment, and generally of preparing oneself or others intellectually for mature life. 2. the act or process of… … Universalium