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1 логично предложить, чтобы
Логично предложить, чтобы-- It is logical to suggest therefore, that such basic functions be derived to a common standard of accuracy relative to common data.Русско-английский научно-технический словарь переводчика > логично предложить, чтобы
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2 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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3 Verb + ing-form
Глагол с дополнением, выраженным герундием1) Следующие английские глаголы в качестве дополнения могут присоединять к себе герундий (Ing-form): advise, admit, allow, avoid, appreciate, can't bear, can't help, can't stand, consider, delay, deny, detest, dislike, dread, enjoy, escape, excuse, fancy, finish, forbid, forgive, give up, imagine, insist on, involve, keep, keep on, like, mean, mind, miss, object to, pardon, permit, postpone, practice, prevent, propose, recollect, recommend, remember, resent, resist, risk, stop, suggest, understand.I enjoy travelling — Мне нравится путешествовать.
He detests writing letters — Он ненавидит писать письма.
She admitted taking the money — Она признала, что взяла деньги.
2)а) Если герундий непосредственно следует за глаголом или сочетанием глагол + предлог, то логическое подлежащее (Logical subject) герундиального оборота чаще всего совпадает с подлежащим главного предложения. Об исключениях см. пункт 2б ниже.I regret having bought the car — Я жалею, что купил эту машину (Я жалею, что я купил эту машину).
I dislike working late — Мне не нравится работать допоздна (Мне не нравится, когда я работаю допоздна)
He insists on reading the letter — Он настаивает, что должен прочесть письмо.
I avoid over-eating — Я стараюсь не переедать.
They couldn't resist making fun of him — Они не смогли удержаться и не посмеяться над ним.
He can't bear being alone — Он не выносит одиночества.
б) Логическое подлежащее герундиального оборота при глаголах advise, allow, forbid, suggest, permit, propose, recommend не совпадает с подлежащим главного предложения (см. также advise, allow, permit, forbid + to-infinitive or ing-form).I suggest waiting — Я предлагаю подождать (я предлагаю, чтобы мы подождали)
3) Если логическое подлежащее герундиального оборота не совпадает с подлежащим главного предложения, оно может быть выражено сущ/мест в объектной форме либо сущ в притяж падеже/притяж мест (см. regret his leaving / regret him leaving)John resented George's losing the papers / John resented George losing the papers — Джон обиделся на то, что Джордж потерял бумаги.
4) Глаголы excuse, forgive, pardon, prevent, understand не используются в конструкции глагол + ing-form. Перед герундием обязательно должно идти сущ/мест в объектной форме либо сущ в притяж падеже/притяж мест (см. regret his leaving / regret him leaving)Excuse me/my ringing you up so early — Прости, что звоню тебе так рано.
I cannot understand him/his behaving like that — Не могу понять, почему он себя так ведет.
•— инфинитивный оборот см. ing- clause
— like в комбинации с герундием и инфинитивом см. like + to-infinitive or ing-form
— try, mean в комбинации с герундием и инфинитивом см. try, mean + to-infinitive or ing-form
— remember, forget, regret в комбинации с герундием и инфинитивом см. remember, forget, regret + to-infinitive or ing-form
— stop, go on в комбинации с герундием и инфинитивом см. stop, go on + to-infinitive or ing-form
— advise, allow, permit, forbid, recommend в комбинации с герундием и инфинитивом см. advise, allow, permit, forbid + to-infinitive or ing-form
— need, deserve, require, want в комбинации с герундием и инфинитивом см. need, deserve, require, want + to-infinitive or ing-form
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4 основание
(= основа) base, reason, basis, foundation, ground, motive•... находится в самом основании современной математики. -... lies at the very foundation of modern mathematics.• В данной главе мы заложим теоретические основания для... - In this chapter we lay the theoretical foundations for...• В общем случае у нас нет оснований ожидать... - In the general case, we cannot reasonably expect...• Возникает слабое основание сомневаться в том, что... - There appears to be little reason to doubt that...• Для изучения множества А имеется много различных оснований. - There are many reasons for our study of A.• Есть все основания полагать, что... - There is good reason to believe that...• Имеется некоторое основание, чтобы предложить... - There is some evidence to suggest that...• Имеется основание считать, что... - There is reason to believe that...• Имеются все основания полагать, что... - We can safely assume that...; We have every reason to believe that...• Имеются основания думать, что... - There are reasons to think that...• Имеются основания надеяться на то, что... - There is reason to hope that...• Имеются основания полагать, что... - There is reason to believe that...; It is reasonable to suppose that...; There are good grounds for believing that...• Конечно, нет оснований (= аргументов), почему мы не должны комбинировать... с... - There is, of course, no reason why we should not combine... with...• Можно с достаточными основаниями предположить, что... - One can reasonably suggest that...• На основании данного факта мы строим... - This fact is the foundation on which we build...• На основании ряда физических соображений он установил, что... - Не established, on several physical grounds, that...• Нет никаких логических оснований для... - There is no logical reason for...• Нет оснований предполагать, что... - There is no reason to suppose that...• Нет оснований считать, что... - There is no reason to believe that...• Основание данного утверждения находится в... - The basis for this assertion lies in...• Основанием для этой аргументации является то, что... - The basis of the argument is that...• По-видимому, есть основания утверждать, что... - It seems reasonable to say that...• Следовательно, имеет основание то, что... - It is therefore justifiable to...• Следовательно, у нас имеются веские основания, чтобы заявить, что... - Thus, we have good grounds for saying that...• Тем не менее, развитые нами методы дают основание для... - However, the methods we have developed provide a basis for...• У нас есть все основания полагать, что... - We have good reason to believe that...• Эта критика не имеет под собой твердого основания. - These criticisms do not appear to be well founded.• Это само по себе является достаточным основанием, чтобы... - This in itself appears to be sufficient justification for...• Это фундаментальная идея, лежащая в основании (процесса и т. п.)... - This is the fundamental idea behind... -
5 suī
suī (gen.), dat. sibi or sibī, acc. and abl. sē or (more emphatic) sēsē (strengthened sēpse for sē ipse, C.; sēmet, L., H.), sing. and plur, pron. of 3d pers. [suus]. I. Reflex. A. Himself, herself, itself, themselves.—Referring to the grammatical subj —Acc., as direct obj: si is posset ab eā sese avellere, T.: per eos, ne causam diceret, se eripuit, Cs.: homo se erexit: se a Gallis auro redemisse, L.: se gerere, to behave: ipse enim se quisque diligit: se ipsum conligere.—With gerundive: ne sui in perpetuum liberandi occasio, Cs.: sui conservandi causā profugere: is sibi legationem ad civitates suscepit, Cs.: propositā sibi morte: Medus infestus sibi, H.: tantos sibi spiritūs sumpserat, Cs.: inimicus ipse sibi putandus est.— Gen obj.: amans sui virtus: dux oblitus sui: potens sui, H.: caecus amor sui, H.: facultatem sui insequendi ademerat, Cs.—Acc. or abl., with praepp.: ducit secum virginem, T.: pro se quisque sedulo Faciebant, each one singly, T.: cum pro se quisque tenderent ad portas, L.: equitatum ante se mittit, Cs.: litterae ad se ab amico missae: exercitus, quantum in se fuit, etc., L.—Referring to a logical subject.—To a definite subject: multis illi in urbibus reficiendi se et curandi potestas fuit: Faustulo spes fuerat regiam stirpem apud se educari, L.: invenere oppidanos vim hostium ab se arcentes, L.—To an indefinite subject, oneself: deforme est de se ipsum praedicare: ut, quanti quisque se ipse faciat, tanti fiat ab amicis.— B. In dependent clauses, as pers. pron. 3 d pers., with reflex. reference, him, her, it, them, he, she, they.—In gen., referring to the grammatical subject of the principal clause: impetrat a senatu, ut dies sibi prorogaretur: Ubii legatos mittunt, qui doceant... neque ab se fidem laesam, Cs.: in urbibus, quae ad se defecerant, praesidia imposuit, S.— Referring to a logical subject: a regibus litterae, quibus mihi gratias agant, quod se reges appellaverim: cum legati ad eum venissent oratum, ut sibi ignosceret, Cs.—In orat. obliquā, referring to the person whose words are reported: nuntium mittit... sese diutius sustinere non posse, Cs.: non sese Gallis, sed Gallos sibi bellum intulisse, Cs.: dato responso (a Thyrreensibus), nullam se novam societatem accepturos, L.—In subordinate clauses, with subjunct.: qui abs te taciti requirunt, cur sibi hoc oneris imposueris: conclamavit, quid ad se venirent? Cs.: multa pollicens, si se conservasset, N.—With subj. (sub-oblique), expressing the view of the reported speaker: Caesarem iniuriam facere, qui vectigalia sibi deteriora faceret, Cs.: quod nec paratus... obsecutus esset, credidissetque, cum se vidissent Aetoli, omnia, etc., L. —Instead of the proper case of is or ipse (to suggest the point of view of the person referred to): Unum hoc scio, esse meritam, ut memor esses sui, T.: quem Caesar, ut erat de se meritus, donatum pronuntiavit, Cs.: statuit urbīs, quae... adversum se opportunissimae erant, circumvenire, S.: centum boves militibus dono dedit, qui secum fuerant, L.— C. Idiomatic uses, with ad or apud, to one's house, at home: qui a me petierit ut secum et apud se essem cottidie: Num tibi videtur esse apud sese? in his senses, T.— Dat pleonast., of the person interested, for himself: quid sibi hic vestitus quaerit? T.: mirantes, quid sibi vellet, L.— Colloq., with suus (old): Suo sibi gladio hunc iugulo, his very own, T.— II. As pron recipr., each other, one another: nuntiatum... patres ac plebem in semet ipsos versos, L.; usu. in the phrase, inter se, one another, each other, mutually, reciprocally: video eos inter se amare, T.: neque solum colent inter se ac diligent: ut neque inter se contingant trabes, Cs.: adhaesiones atomorum inter se: collīs duos propinquos inter se occupat, S.* * *(gen.) PRON REFLEXhim/her/it/ones-self; him/her/it; them (selves) (pl.); each other, one another -
6 theory
ˈθɪərɪ сущ.
1) теория to advance, present, propose, suggest a theory ≈ предлагать, отстаивать теорию to advocate theory ≈ отстаивать теорию to combine theory and practice ≈ объединять теорию и практику to confirm a theory ≈ подтверждать теорию to develop a theory ≈ развивать теорию to disprove, explode, refute a theory ≈ опровергать, подрывать, разбивать теорию to formulate a theory ≈ формулировать теорию to test a theory ≈ проверять теорию pet theory ≈ излюбленная теория a theory evolves ≈ теория возникает, появляется a theory holds up ≈ теория подтверждается in theory ≈ в теории, теоретически In theory their plan makes sense. ≈ Теоретически их план имеет смысл. on a theory ≈ согласно теории They proceeded on the theory that the supplies would arrive on time. ≈ Они исходили из предположения, что припасы прибудут вовремя. She has a theory that drinking milk prevents colds. ≈ У нее была теория, что если будешь пить молоко, то не заболеешь. scientific theory game theory information theory political theory quantum theory systems theory big bang steady state theory theory of relativity numbers theory
2) разг. предположение теория;
- сoherent * последовательная теория - social-science theories социологические теории - general relativity * общая теория относительности - * of evolution теория эволюции - essays in * теоретические очерки - to formulate a * сформулировать теорию - to put forward a new * выдвинуть новую теорию - the theories that have sprung up in recent years теории, появившиеся в последние годы - the * of economic integration has made rapid strides теория экономической интеграции быстро развивалась (математика) раздел( математики), теория - game * туория игр - * of similarity теория подобия - the * of numbers теория чисел( разговорное) предположение, догадка;
особое мнение, взгляд - to have a * полагать - what's your * of the case? что вы думаете по этому поводу? - my * is that he is lying я думаю, что он лжет - my * has been amply born out моя точка зрения полностью подтвердилась теоретические правила, основы - the * of education теоретические основы воспитания без артикля: абстрактные, теоретические знания - * and practice теория и практика - in * в теории;
теоретически, абстрактно, отвлеченно - your plan is good in * вообще ваш план неплох applied decision ~ прикладная теория принятия решений automata ~ теория автоматов axiomatic ~ аксиоматическая теория communication ~ теория связи deterrence ~ теория устрашения expectation ~ теория вероятностей game ~ теория игр graph ~ теория графов theory разг. предположение;
to have a theory that... полагать, что... hemline ~ бирж. теория "длины дамских юбок" (шуточная теория о том, что цены акций движутся в одном направлении с длиной дамских юбок) information ~ теория информации intimidation ~ теория устрашения legal ~ правовая теория linear programming ~ теория линейного программирования liquidity preference ~ теория предпочтения ликвидности logic ~ матлогика logical ~ логическая теория nonlinearized ~ нелинейная теория ~ теория;
numbers theory теория чисел operations research ~ теория исследования операций optimal control ~ оптимальная теория управления optimization ~ теория оптимизации price ~ полит.эк. теория цен probabilistic decision ~ вероятностная теория принятия решений probability ~ теория вероятностей queueing ~ стат. теория массового обслуживания queueing ~ теория массового обслуживания representation ~ теория представлений sampling ~ теория выборочного метода theory разг. предположение;
to have a theory that... полагать, что... ~ теоретические основы ~ теоретические правила ~ теория;
numbers theory теория чисел ~ теория ~ of large samples теория больших выборок ~ of law теория права ~ of matrices теория матриц ~ of programming вчт. теория программирования ~ of queues стат. теория массового обслуживания ~ of random processes теория случайных процессов ~ of sets теория множеств ~ of statistical decision теория статистических решений ~ of stochastic processes теория случайных процессов ~ of testing hypothesis теория проверки гипотез ~ of time series теория временных рядов ~ of wages теория заработной платы ~ of waiting lines теория массового обслуживания ~ of weighted smoothing теория взвешенного сглаживания waiting line ~ стат. теория массового обслуживания -
7 name
1. n имя; фамилияfull name — полное имя; все имена и фамилия
a tenant, John Jones by name — арендатор по имени Джон Джонс
under the name of — под именем; под псевдонимом
open up in the name of the law! — именем закона, откройте!
I heard my name mentioned — я слышал, как назвали моё имя
2. n название, наименование; обозначениеin name — номинально; по названию
a mere name, only a name — пустой звук, одно название
luxury brand name — наименование изделия категории < люкс>
condition name — наименование условия; название условия
3. n тк. репутация; слава; имяbad name — плохая репутация, дурная слава
to get oneself a name — создать себе имя, получить известность
to have a name for honesty, to have the name of being honest — славиться честностью
in the name of — во имя; от имени
label name — имя типа метки; метка
4. n личность; человекpeople of name — люди с именем; известные деятели; знаменитости
5. n род, фамилия6. n брань, бранные слова7. n грам. имя существительноеname clash — конфликт по именам; конфликт на уровне имен
qualified name — уточненное имя; классифицированное имя
device group name — имя типа устройства; тип устройства
8. n лог. термин; логическое понятиеgive it a name! — выбирайте, я плачу
the name of the game — самое главное, суть
9. a именнойname tag — именной жетон; медальон с фамилией; личный знак
name code — именной код; код имени
10. a авторскийname entry — авторское описание, описание под именем автора
11. a заглавный12. a амер. разг. известный; с именемname table — таблица имен; таблица идентификаторов
13. v называть, давать имя14. v называть, перечислять поимённо15. v указывать, назначать16. v упоминать; приводить17. v парл. призвать к порядкуhe was named by the Chairman and warned — председатель призвал его к порядку и сделал ему предупреждение
I merely asked his name — я только спросил, как его зовут
Синонимический ряд:1. appellation (noun) appellation; appellative; autograph; cognomen; compellation; denomination; designation; diminutive; epithet; monogram; nomen; proper name; rubric; style; title2. celebrity (noun) big name; blue-booker; celebrity; headliner; hero; lion; luminary; notability; notable; person of renown; personage; personality; somebody; star3. fame (noun) acclaim; distinction; eminence; fame; honor; honour; note; praise; renown4. reputation (noun) character; credit; report; reputation; repute5. appoint (verb) appoint; commission; select6. designate (verb) acclaim; characterise; characterize; classify; describe; designate; dignify; enumerate; finger; indicate; make; nominate; tap7. entitle (verb) address; baptise; baptize; call; christen; denominate; dub; entitle; identify; label; style; tally; term; title8. instance (verb) cite; instance; mention; specifyАнтонимический ряд:disrepute; hint; individuality; obscurity; person; shadow; suggest
См. также в других словарях:
suggest — transitive verb Etymology: Latin suggestus, past participle of suggerere to pile up, furnish, suggest, from sub + gerere to carry Date: 1526 1. a. obsolete to seek to influence ; seduce b. to call forth ; evoke c … New Collegiate Dictionary
suggest — I (New American Roget s College Thesaurus) v. t. intimate, hint, insinuate; propose, submit; imply, connote; recommend, advise, advocate. See information, advice, offer. II (Roget s IV) v. 1. [To make a suggestion] Syn. submit, advise, recommend; … English dictionary for students
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arts, East Asian — Introduction music and visual and performing arts of China, Korea, and Japan. The literatures of these countries are covered in the articles Chinese literature, Korean literature, and Japanese literature. Some studies of East Asia… … Universalium
metaphysics — /met euh fiz iks/, n. (used with a sing. v.) 1. the branch of philosophy that treats of first principles, includes ontology and cosmology, and is intimately connected with epistemology. 2. philosophy, esp. in its more abstruse branches. 3. the… … Universalium
Europe, history of — Introduction history of European peoples and cultures from prehistoric times to the present. Europe is a more ambiguous term than most geographic expressions. Its etymology is doubtful, as is the physical extent of the area it designates.… … Universalium
science, philosophy of — Branch of philosophy that attempts to elucidate the nature of scientific inquiry observational procedures, patterns of argument, methods of representation and calculation, metaphysical presuppositions and evaluate the grounds of their validity… … Universalium
