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1 develop intelligence
1) Общая лексика: получить информацию2) Военный термин: обрабатывать разведывательные данные, обработать разведывательные данные -
2 develop intelligence
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3 develop intelligence
English-Russian dictionary of terms that are used in computer games > develop intelligence
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4 intelligence
разведка; разведывательные данные [информация]; умственное развитиеC3 intelligence — разведка [данные разведки] систем оперативного управления и связи; разведка [данные разведки] систем руководства, управления и связи
— all-sources intelligence— biographical intelligence— foil enemy intelligence— logistics intelligence* * * -
5 intelligence
1. n ум, интеллект; умственные способностиbankrupt in intelligence — тупой, умственно несостоятельный
2. n сообразительность, понятливость3. n сведения, информация, известия, сообщения4. n воен. разведывательные данные5. n разведкаintelligence officer — офицер разведки; начальник разведывательного отдела
Синонимический ряд:1. brain (noun) brain; brainpower; brains; mother wit; sense; wit2. facts (noun) data; facts; information3. mentality (noun) acumen; aptitude; discernment; intellect; intellectual; mentality; mind; penetration; reason; understanding4. news (noun) advice; information; knowledge; news; speerings; tidings; wordАнтонимический ряд:darkness; dullness; ignorance; misapprehension; misconception; misunderstanding; silence; stupidity -
6 intelligence
данные; сообщения; информация; сведения; интеллект -
7 develop
develop [dɪˈveləp]a. [+ mind, body, business, skill] développerb. ( = change and improve) [+ region, area] aménagerc. [+ habit, illness] contracter ; [+ symptoms] présenterse développer ; [problem] surgir ; [talent] s'épanouir ; [friendship] s'établir ; [jealousy] s'installer ; [situation] évoluer━━━━━━━━━━━━━━━━━✎ The French word développer has a double p.* * *[dɪ'veləp] 1.transitive verb1) ( acquire) acquérir [knowledge]; attraper [illness]; prendre [habit]; présenter [symptom]2) ( evolve) élaborer [plan, project]; mettre au point [technique, invention]; exposer [theory]; développer [argument]3) ( create) créer [market]; établir [links]4) (expand, build up) développer [mind, physique, business, market]5) ( improve) mettre en valeur [land, site]; aménager [city centre]6) Photography développer2.1) ( evolve) [child, society, country, plot, play] se développer; [intelligence] s'épanouir; [skills] s'améliorer2) ( come into being) [friendship, difficulty] naître; [crack, hole] se former; [illness] se déclarer3) (progress, advance) [friendship] se développer; [difficulty] s'aggraver; [crack, fault] s'accentuer; [war, illness] s'aggraver; [game, story] se dérouler4) (in size, extent) [town, business] se développer -
8 develop
A vtr1 ( acquire) acquérir [skill, knowledge] ; attraper [illness] ; prendre [habit] ; présenter [symptom] ; to develop an awareness of sth prendre conscience de qch ; to develop a taste ou liking for sth prendre goût à qch ; to develop cancer développer un cancer ; the engine developed a fault le moteur a commencé à mal fonctionner ;2 ( evolve) élaborer [plan, project] ; mettre au point [technique, procedures, invention] ; exposer [theory, idea] ; développer [argument] ;6 Phot développer.B vi1 ( evolve) [child, seed, embryo] se développer ; [intelligence] s'épanouir ; [skills] s'améliorer ; [society, country, region] se développer ; [plot, play] se développer ; to develop into devenir ;2 ( come into being) [friendship] naître ; [trouble, difficulty] naître ; [crack, hole] se former ; [illness, symptom] se déclarer ;3 (progress, advance) [friendship] se développer ; [difficulty] s'aggraver ; [crack, fault] s'accentuer ; [war, illness] s'aggraver ; [game, story] se dérouler ;4 (in size, extent) [town, business] se développer. -
9 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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10 Cognitive Science
The 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.... [P]eople and intelligent computers turn out to be merely different manifestations of the same underlying phenomenon. (Haugeland, 1981b, p. 31)2) Experimental Psychology, Theoretical Linguistics, and Computational Simulation of Cognitive Processes Are All Components of Cognitive ScienceI went away from the Symposium with a strong conviction, more intuitive than rational, that human experimental psychology, theoretical linguistics, and computer simulation of cognitive processes were all pieces of a larger whole, and that the future would see progressive elaboration and coordination of their shared concerns.... I have been working toward a cognitive science for about twenty years beginning before I knew what to call it. (G. A. Miller, 1979, p. 9)Cognitive Science studies the nature of cognition in human beings, other animals, and inanimate machines (if such a thing is possible). While computers are helpful within cognitive science, they are not essential to its being. A science of cognition could still be pursued even without these machines.Computer Science studies various kinds of problems and the use of computers to solve them, without concern for the means by which we humans might otherwise resolve them. There could be no computer science if there were no machines of this kind, because they are indispensable to its being. Artificial Intelligence is a special branch of computer science that investigates the extent to which the mental powers of human beings can be captured by means of machines.There could be cognitive science without artificial intelligence but there could be no artificial intelligence without cognitive science. One final caveat: In the case of an emerging new discipline such as cognitive science there is an almost irresistible temptation to identify the discipline itself (as a field of inquiry) with one of the theories that inspired it (such as the computational conception...). This, however, is a mistake. The field of inquiry (or "domain") stands to specific theories as questions stand to possible answers. The computational conception should properly be viewed as a research program in cognitive science, where "research programs" are answers that continue to attract followers. (Fetzer, 1996, pp. xvi-xvii)What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.The psychologist who studies "knowledge systems" wants to know how concepts are structured in the human mind, how such concepts develop, and how they are used in understanding and behavior. The artificial intelligence researcher wants to know how to program a computer so that it can understand and interact with the outside world. The two orientations intersect when the psychologist and the computer scientist agree that the best way to approach the problem of building an intelligent machine is to emulate the human conceptual mechanisms that deal with language.... The name "cognitive science" has been used to refer to this convergence of interests in psychology and artificial intelligence....This working partnership in "cognitive science" does not mean that psychologists and computer scientists are developing a single comprehensive theory in which people are no different from machines. Psychology and artificial intelligence have many points of difference in methods and goals.... We simply want to work on an important area of overlapping interest, namely a theory of knowledge systems. As it turns out, this overlap is substantial. For both people and machines, each in their own way, there is a serious problem in common of making sense out of what they hear, see, or are told about the world. The conceptual apparatus necessary to perform even a partial feat of understanding is formidable and fascinating. (Schank & Abelson, 1977, pp. 1-2)Within the last dozen years a general change in scientific outlook has occurred, consonant with the point of view represented here. One can date the change roughly from 1956: in psychology, by the appearance of Bruner, Goodnow, and Austin's Study of Thinking and George Miller's "The Magical Number Seven"; in linguistics, by Noam Chomsky's "Three Models of Language"; and in computer science, by our own paper on the Logic Theory Machine. (Newell & Simon, 1972, p. 4)Historical dictionary of quotations in cognitive science > Cognitive Science
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11 unit
организационная единица; боевая единица (напр. корабль, ЛА танк); подразделение; часть; соединение; расчетно-снабженческая единица; секция; орган; элемент; комплект; агрегат; установка; см. тж. elementbulk petrol (transport) unit — Бр. часть [подразделение] подвоза наливного (бестарного) горючего
counter C3 unit — часть [подразделение] подавления системы оперативного управления и связи
Fleet Marine (Corps) reconnaissance unit — разведывательное подразделение [часть] флотских сил МП
multisensor (AA) firing unit 3PK — с приборным комплексом из нескольких систем обнаружения и сопровождения
photo (graphic) reconnaissance unit — фоторазведывательная часть [подразделение]
surface-launched unit, fuel air explosive — установка дистанционного разминирования объемным взрывом
surface-launched unit, mine — установка дистанционного минирования
tactical (air) control unit — часть [подразделение] управления ТА
war (time) strength (TOE) unit — часть, укомплектованная по штатам военного времени
— air unit— ASA unit— BM unit— border operation unit— car unit— depot support unit— dry unit— EW unit— GM unit— host country unit— HQ unit— logistics support unit— manpack radio unit— marksmanship training unit— mechanized infantry unit— missile-armed unit— nuclear weapon unit— provisional unit— QM unit— Rangers unit— supported unit— TOE unit— transportation unit— truck transport unit— van unit— wet unit* * *1) часть; 2) единица -
12 information
информация; данные, сведения; см. тж. data— selective-call basis information -
13 base
база; авиационная база; военноморская база; аэродром; ракетная позиция; подразделение, поддерживающее маневр огнем с места; основные организационные элементы ( соединения) ; дивизионная основа; орудийная платформа; запоясковая часть ( снаряда) ; основывать; базировать; устанавливать— semihardened base -
14 target
объект; цель; мишень; задача; задание; норма; заданный показатель [срок]; конечный пункт; пункт назначения; заданное значение; норматив ( боевой подготовки) ; программировать траекторию ( ракеты) ; нацеливать; прицеливать; ставить задачу на удар [стрельбу] по цели; наводить; подготавливать огонь; приводить ( оружие) к нормальному бою, пристреливать; определять разнобой ( орудий) ; засекать ( цель) ;flare drop tow(ed) target — буксируемая мишень, отстреливающая ИК ловушки
pass the target (to) — передавать цель (напр. в другой сектор)
— aerial training target— hardened target— heat contrast target— interdiction-type target— pay off target— personnel-type target— prone silhouette target— scheduled nuclear target— shore-based target— towed target -
15 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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16 mind
maɪnd
1. сущ.
1) а) разум;
умственные способности;
ум on one's mind ≈ в мыслях, на уме out of one's mind ≈ помешанный, не в своем уме to be in one's right mind ≈ быть в здравом уме to bear, keep smth. in mind ≈ иметь что-л. в виду to cross one's mind ≈ приходить в голову to cultivate, develop one's mind ≈ развивать/совершенствовать свои способности to keep one's mind on smth. ≈ не переставая думать о чем-л. to live with one's own mind ≈ жить своим умом to put, set one's mind to smth. ≈ решить что-л. to set one's mind at ease ≈ успокоиться to take one's mind off smth. ≈ перестать думать о чем-л. the great minds of the world ≈ великие умы человечества to lose one's mind ≈ потерять голову, сойти с ума clear mind ≈ ясная голова closed mind ≈ ограниченность disciplined mind ≈ дисциплинированный ум open mind ≈ открытый, восприимчивый ум scientific mind ≈ научный склад ума sound mind ≈ здравый ум Syn: head, intellect, intelligence, reason б) мышление, умственная деятельность
2) а) память;
воспоминание Keep that in mind. ≈ Сохрани это в памяти. to bring to mind, call to mind ≈ напомнить to have in mind, bear in mind, keep in mind ≈ помнить, иметь в виду to be out of mind, go out of mind, pass out of mind ≈ выскочить из памяти, быть забытым time out of mind ≈ с незапамятных времен within time of mind, time within mind of man ≈ в пределах человеческой памяти put smb. in mind Syn: recollection, remembrance, memory б) уст. церемония в память о чем-л.;
поминание Syn: commemoration, memorial
1.
3) мнение, взгляд, точка зрения to be of one/a mind with smb., to be of smb.'s mind ≈ быть одного и того же мнения с кем-л. to be of the same mind ≈ быть единодушным, придерживаться одного мнения;
оставаться при своем мнении to give smb. a piece of one's mind ≈ высказывать кому-л. свое мнение to have an open mind ≈ быть объективным, непредубежденным to read smb.'s mind ≈ читать чужие мысли to speak one's mind, to tell (a person) one's mind, to let (a person) know one's mind ≈ высказать свою точку зрения, высказать все откровенно to my mind ≈ по моему мнению Syn: opinion, view
1., judgement
4) желание, намерение, склонность (сделать что-л.) ;
преим. во фразах: change one's mind make up one's mind make up one's mind to be in two minds be in twenty minds have half a mind have a good mind have a great mind know one's own mind Syn: intention, purpose
1., desire
1.
5) настроение, расположение духа state of mind Syn: disposition
1., mood I, inclination
6) дух (душа) deep in one's mind ≈ (глубоко) в душе mind's eye ≈ духовное око, мысленный взгляд
7) (Mind) церк. Бог ∙ many men, many minds, no two minds think alike ≈ сколько голов, столько умов out of sight, out of mind посл. ≈ с глаз долой - из сердца вон
2. гл.
1) а) редк. напоминать Syn: remind б) арх. или диал. помнить Syn: remember
2) заниматься, выполнять;
присматривать за (кем/чем-л.) to mind the shop ≈ присматривать за лавкой Please mind the fire. ≈ Пожалуйста, последите за камином. Mind your own business. ≈ Занимайся своим делом.
3) а) следить, обращать внимание Mind your manners. ≈ Следите за своими манерами. б) слушаться( кого-л.), прислушиваться( к кому-л.) Mind your parends. ≈ Слушай своих родителей. Syn: obey
4) а) беспокоиться, быть озабоченным, тревожиться Never mind your mistake. ≈ Не беспокойтесь об ошибке. б) возражать, иметь что-л. против( в вопр. или отриц. предложении, а также в утверд. ответе) I don't mind if you go. ≈ Я не против того, чтобы ты пошел. She doesn't mind the cold. ≈ Она ничего не имеет против холода. I wouldn't mind a cup of tea. ≈ Не откажусь от чашки чая. Do you mind my smoking? ≈ Вы не будете возражать, если я закурю? I don't mind it a bit. ≈ Нет, нисколько. Yes, I mind it very much. ≈ Нет, я очень против этого. I shouldn't mind ≈ я не прочь Syn: object II
5) а) быть внимательным, аккуратным;
не забыть выполнить (дела, обязанности и т. п.) Mind you finish it. ≈ Не забудь закончить это. Mind you're not late. ≈ Смотрите, не опоздайте. б) беречься, оберегаться, остерегаться Mind the broken glass. ≈ Остерегайся разбитого стекла. ум, разум - to enter /to cross, to come into/ one's * прийти на ум /в голову/, осенить - his * was filled with sad thoughts его одолевали печальные мысли - on one's * на уме, в мыслях - she has smth. on her * у нее что-то на уме;
ее что-то тревожит - what have you in *? что ты собираешься сделать?;
что у тебя на уме?;
что ты имеешь в виду? - it preys on my * это меня угнетает /тяготит/ - to get smth. into one's * забрать себе что-л. в голову;
понять что-л. - to get smth. out of one's * выбросить что-л. из головы - to have /to get/ smth. off one's * перестать думать о чем-л.;
избавиться от мыслей о чем-л. - to poison smb.'s * against smb. настроить кого-л. против кого-л. - where's my *? (разговорное) о чем я думаю? умственные способности, интеллект, ум;
мышление, умственная деятельность - * game интеллектуальная игра - a pedestrian * посредственность - to possess unusual powers of * обладать недюжинным умом /недюжинными способностями/ - the great *s of our age великие умы нашего времени - I don't understand how his * works я не понимаю ход его мыслей - he has a very good * он очень способный (человек) рассудок, ум - presence of * присутствие духа, хладнокровие - to be of sound *, to be sound in *, to be in one's right * быть в здравом уме - to be clear in one's own * ясно представлять себе, отдавать себе ясный отчет - to be out of one's (right) * быть не в своем уме;
быть сумасшедшим;
сходить с ума, быть в отчаянии /вне себя/ - you must be out of your *! вы с ума сошли! - she was out of her * with grief она сходила с ума от горя - to go out of one's * сходить с ума;
терять рассудок - his * has gone, he has lost his * он не в своем уме - to drive /to send/ smb. out of his * сводить кого-л. с ума;
доводить кого-л. до сумасшествия память - absence of * забывчивость;
рассеянность - to bear /to keep/ in * помнить;
запоминать;
иметь в виду - bear that in *! запомни это!;
имей это в виду! - with present-day conditions in * учитывая сегодняшнюю действительность, имея в виду условия современной жизни - to bring /to call/ to * вспоминать, припоминать;
воскрешать в памяти;
напоминать - I called his words to * я вспомнил его слова - this brings to * another story это (мне) напоминает еще один /другой/ случай - to put smb. in * of smth. напоминать кому-л. о чем-л. - he puts me in * of his father он напоминает мне своего отца - to cast one's * back вспомнить прошлое /былое/ - to go /to pass/ out of (one's) *, to slip one's * быть забытым;
выскочить из головы - it went clean out of my * (разговорное) я начисто забыл об этом - to put /to get/ smth. out of (one's) * забыть что-л. - time out of * незапамятные времена;
испокон веку( устаревшее) поминание;
поминальная служба настроение, состояние духа - cheerful * хорошее настроение - peace of * спокойствие духа - I was easy in my * у меня было спокойно на душе - in a good state /frame/ of * в хорошем настроении, расположении направление мыслей;
склад ума - reactionary * реакционные /консервативные/ взгляды /убеждения/ (откровенное) мнение;
взгляд - to speak one's * (out) откровенно высказываться - to tell smb. one's *, to let smb. know one's * откровенно высказать кому-л. свое мнение или неодобрение - I gave him a piece of my * (разговорное) я ему высказал все, что думал - to be of smb.'s *, to be of the same * as smb. быть одного мнения с кем-л., придерживаться того же мнения - they were all of one * все они придерживались одного мнения, они достигли единодушного решения;
они пришли к соглашению - with one * единодушно - to be of the same * быть единодушным, придерживаться одного мнения;
оставаться при своем мнении - to keep an open * on smth. сохранять объективность в подходе к вопросу, делу - to have an open * быть непредубежденным - meeting of *s (американизм) соглашение, единство взглядов - to smb.'s * по чьему-л. мнению - to my * you are right по-моему, ты прав;
на мой взгляд, ты прав намерение, желание - to have a * to do smth. иметь намерение /быть склонным/ сделать что-л. - to have a good /a great/ * to do smth. очень хотеть что-л. сделать - I have a great * to speak to him вот возьму да и поговорю с ним - to have half a * to do smth. быть не прочь /быть склонным/ что-л. сделать - to know one's own * не колебаться, твердо знать, чего хочешь - he doesn't know his own * он сам не знает, чего (он) хочет - to change /to alter/ one's * передумать, изменить свое решение /свои намерения/ - to be in /of/ two *s быть /находиться/ в нерешительности, колебаться;
не знать на что решиться - to smb.'s * в соответствии с чьими-л. желаниями;
по чьему-л. вкусу мысли, думы;
стремление, помыслы - to set one's * on smth. очень хотеть чего-л.;
сосредоточить все свои помыслы на чем-л.;
поставить себе какую-л. цель - he has set his * on becoming an engineer он твердо решил стать инженером - my * was (set) on other things я думал о других вещах - to give /to turn/ one's * to smth. обратить свое внимание на что-л.;
сосредоточить свои мысли /помыслы/ на чем-л.;
приложить старания к чему-л. - to keep one's * on smth. все время думать о чем-л.;
сосредоточить свое внимание на чем-л. - you must keep your * on your work ты должен все время думать о своей работе - he turned his * to his work он сосредоточился на своей работе - to read smb.'s * читать чужие мысли - to be on smb.'s * поглощать чье-л. внимание - to take one's * off smth. перестать думать о чем-л. - to take smb.'s * off smth. отвлекать чье-л. внимание от чего-л. - it took her * off her troubles это отвлекло ее от забот /от переживаний/ - to bring one's * to bear on smth. обратить свое внимание на что-л. - I set his * at rest я его успокоил дух;
душа - * and body душа и тело - the *'s eye мысленный взгляд, воображение > to make up one's * решиться;
принять решение > to make up one's * to smth. смириться с чем-л. > so many men so many *s (пословица) сколько голов, столько умов > a sound * in a sound body( пословица) в здоровом теле здоровый дух > out of sight, out of * (пословица) с глаз долой - из сердца вон в вопросительных или отрицательных предложениях, а также в утвердительном ответе возражать, иметь (что-л.) против - if you don't * если вы не возражаете - do you * if I smoke?, do you * my smoking?, would you * my smoking? вы не будете возражать, если я закурю? - no, I don't * (it) нет, я не возражаю /ничего не имею против/ - yes, I * it (very much) нет, я (решительно) возражаю - I shouldn't * a cup of tea я не прочь выпить чашку чаю - would you * ringing? будьте любезны, позвоните;
не будете ли вы так любезны позвонить? - would you * holding your tongue? попридержи свой язык, пожалуйста заботиться;
волноваться, беспокоиться, тревожиться - he *s your attitude very much его очень волнует ваше отношение - I do not * what you do мне все равно, что вы сделаете - he doesn't * the cold weather холодная погода ему нипочем - I don't * what people say меня не волнует, что говорят люди обыкн. в повелительном предложении обращать внимание, считаться( с чем-л.) - don't * me не обращайте внимания на меня - never * him не обращайте на него внимания - never * the expense не останавливайтесь перед расходами обыкн. в повелительном предложении прислушиваться (к советам и т. п.) ;
слушаться - the dog *s his master собака слушается своего хозяина - * what I say (внимательно) слушай, что я говорю - if he had *ed me если бы он меня послушал - * and do what you are told слушайся и изволь делать то, что тебе говорят обыкн. в повелительном предложении остерегаться, беречься, обращать внимание - * the step! осторожно! ступенька! - * the dog берегись собаки - * your health береги свое здоровье - * what you are doing! осторожнее! - * your language! выражайтесь повежливее! обыкн. в повелительном предложении не забыть сделать (что-л.) - * you write не забудь(те) написать - * you don't forget смотри не забудь - * you bring the book (смотрите) не забудьте принести книгу обыкн. в повелительном предложении обратить внимание, заметить - I have no objection, * (you), but... я не возражаю, заметь, но... - not a word, *! помните, никому ни слова! заботиться (о чем-л., ком-л.) ;
смотреть, присматривать ( за чем-л., кем-л.) ;
заниматься (чем-л.) - to * the baby присматривать за ребенком - to * one's business заниматься своим делом - * your own business! не вмешивайся в чужие дела! - I asked him if he'd * my bags я попросил его присмотреть за моими чемоданами (устаревшее) (диалектизм) помнить (редкое) напоминать (устаревшее) внимательно следить, внимать( устаревшее) (диалектизм) намереваться > never *! не волнуйся, не обращай внимания!, стоит ли беспокоиться!;
ничего!, все равно!, не беда!;
это несущественно!;
не твое дело! > where have you been? - Never you *! где вы были? - Не ваша забота /печаль/ > to * one's P's and Q's следить за собой, за своими словами, соблюдать осторожность или приличия > * your eye! держи ухо востро!, берегись!, гляди в оба! ~ разум;
умственные способности;
ум;
to be in one's right mind быть в здравом уме;
out of one's mind помешанный, не в своем уме to know one's own ~ не колебаться, твердо знать, чего хочешь;
to be in two minds колебаться, находиться в нерешительности ~ мнение;
мысль;
взгляд;
to be of one (или а) mind (with) быть одного и того же мнения (с) to be of the same ~ быть единодушным, придерживаться одного мнения to be of the same ~ оставаться при своем мнении;
to speak one's mind говорить откровенно;
to change (или to alter) one's mind передумать;
to my mind по моему мнению to bring to ~ напомнить do you ~ my smoking? вы не будете возражать, если я закурю?;
I don't mind it a bit нет, нисколько to go (или to pass) out of ~ выскочить из памяти to live with one's own ~ жить своим умом;
the great minds of the world великие умы человечества;
on one's mind в мыслях, на уме to have an open ~ быть объективным, непредубежденным ~ память;
воспоминание;
to have (или to bear, to keep) in mind помнить, иметь в виду do you ~ my smoking? вы не будете возражать, если я закурю?;
I don't mind it a bit нет, нисколько ~ намерение, желание;
I have a great (или good) mind to do it у меня большое желание это сделать yes, I ~ it very much нет, я очень против этого;
I shouldn't mind я не прочь yes, I ~ it very much нет, я очень против этого;
I shouldn't mind я не прочь it was not to his ~ это было ему не по вкусу to know one's own ~ не колебаться, твердо знать, чего хочешь;
to be in two minds колебаться, находиться в нерешительности to live with one's own ~ жить своим умом;
the great minds of the world великие умы человечества;
on one's mind в мыслях, на уме to make up one's ~ решить(ся) to make up one's ~ (to smth.) смириться (с чем-л.) many men, many minds, no two minds think alike = сколько голов, столько умов many men, many minds, no two minds think alike = сколько голов, столько умов mind беспокоиться ~ (в вопр. или отриц. предложении, а также в утверд. ответе) возражать, иметь (что-л.) против ~ дух (душа) ;
mind's eye духовное око, мысленный взгляд;
deep in one's mind (глубоко) в душе ~ заботиться, заниматься (чем-л.) ;
смотреть (за чем-л.) ;
to mind the shop присматривать за лавкой;
please mind the fire пожалуйста, последите за камином ~ заботиться ~ мнение;
мысль;
взгляд;
to be of one (или а) mind (with) быть одного и того же мнения (с) ~ намерение, желание;
I have a great (или good) mind to do it у меня большое желание это сделать ~ остерегаться, беречься;
mind the step! осторожно, там ступенька! ~ память;
воспоминание;
to have (или to bear, to keep) in mind помнить, иметь в виду ~ помнить;
mind our agreement не забудьте о нашем соглашении;
mind and do what you're told не забудьте сделать то, что вам велели ~ присматривать ~ психическое здоровье ~ разум;
умственные способности;
ум;
to be in one's right mind быть в здравом уме;
out of one's mind помешанный, не в своем уме ~ рассудок ~ помнить;
mind our agreement не забудьте о нашем соглашении;
mind and do what you're told не забудьте сделать то, что вам велели to ~ one's P's and Q's следить за собой, за своими словами, соблюдать осторожность или приличия;
mind your eye! = держи ухо востро! ~ помнить;
mind our agreement не забудьте о нашем соглашении;
mind and do what you're told не забудьте сделать то, что вам велели ~ заботиться, заниматься (чем-л.) ;
смотреть (за чем-л.) ;
to mind the shop присматривать за лавкой;
please mind the fire пожалуйста, последите за камином ~ остерегаться, беречься;
mind the step! осторожно, там ступенька! to ~ one's P's and Q's следить за собой, за своими словами, соблюдать осторожность или приличия;
mind your eye! = держи ухо востро! ~ дух (душа) ;
mind's eye духовное око, мысленный взгляд;
deep in one's mind (глубоко) в душе to be of the same ~ оставаться при своем мнении;
to speak one's mind говорить откровенно;
to change (или to alter) one's mind передумать;
to my mind по моему мнению never ~ ничего, неважно, не беспокойтесь, не беда never ~ the cost (или the expense) не останавливайтесь перед расходами many men, many minds, no two minds think alike = сколько голов, столько умов of sound ~ в здравом уме of unsound ~ душевнобольной unsound: ~ нездоровый, больной;
болезненный;
of unsound mind сумасшедший, душевнобольной to live with one's own ~ жить своим умом;
the great minds of the world великие умы человечества;
on one's mind в мыслях, на уме ~ разум;
умственные способности;
ум;
to be in one's right mind быть в здравом уме;
out of one's mind помешанный, не в своем уме ~ заботиться, заниматься (чем-л.) ;
смотреть (за чем-л.) ;
to mind the shop присматривать за лавкой;
please mind the fire пожалуйста, последите за камином to read (smb.'s) ~ читать чужие мысли read: to ~ (smb.'s) mind (или thoughts) читать чужие мысли;
to read (smb.'s) hand (или palm) гадать по руке to be of the same ~ оставаться при своем мнении;
to speak one's mind говорить откровенно;
to change (или to alter) one's mind передумать;
to my mind по моему мнению split ~ = split personality split ~ = split personality personality: split ~ раздвоение личности -
17 system
n1) система2) способ; метод3) сеть4) строй•to deploy a system — размещать / разворачивать систему (напр. обороны)
to formulate a system — разрабатывать / вырабатывать систему
to overhaul / to reform a country's political system — перестраивать политическую систему страны
- abolition of the systemto set up a system — создавать / учреждать систему
- accounting system
- administrative system
- advanced system
- advantages of the system
- air-based system
- aircraft telecommunications system
- antagonistic systems
- anti-ballistic missile system
- anti-missile defense system
- anti-missile space defense system
- anti-satellite systems
- ASAT systems
- authoritative system
- automated management systems
- automated system
- automatic control system
- automatic data processing system
- banking system
- bipartisan system
- biparty system
- bonus system
- break-up of the system
- British entry into the European Monetary System
- bureaucrat system
- capitalist economic system
- capitalist system
- career development system
- centrally planned system
- clan system
- classified national defense system
- collapse of the system
- collective security system
- communal system
- communications system
- competitive price system
- complex system
- comprehensive system
- compulsory purchase system
- computer system
- constitutional system
- contract system
- control system
- conventional system
- country programming system
- credit and banking system
- credit system
- crisis of the system
- cultural system
- currently-operating system
- decentralized system
- defense system
- deficiency of the system
- delivery system
- democratic political systems
- deterrent system
- different social systems
- disintegration of the system
- distribution system
- dynamic international system
- early warning system
- ecological system
- economic system
- educational system
- effective system
- efficient system
- election system
- electoral system
- electronic system
- EMS
- European Monetary System
- exploitation system
- exploiting system
- fair system
- family-planning system
- federal grant system
- finance and credit system
- financial system
- first-past-the-post voting system
- forecasting system
- formation of the system
- free enterprise system
- free market system
- generalized system of preferences
- global system
- grid system
- ground-based system
- health care system
- health system
- historically established system
- home security system
- immunity system
- industrial system
- inequitable system
- information system
- INIS
- institutional system
- integrated system
- intelligence system
- International Nuclear Information System
- international system
- International Trusteeship System
- irrigation system
- job-by-job system of payment
- judicial system
- land tenure system
- land-based antiballistic missile system
- legal system
- liberalization of the political system
- life-support system
- majority system
- management system
- managerial system
- mandate system
- mandatory system
- market system
- mayor-council system
- merit system
- metric system
- missile and satellite detection system
- missile delivery system
- misuse of the judicial system for political purposes
- monarchical system
- monetary and credit system
- monetary system
- monitoring system
- monopolistic system
- motor-road and railway system
- multifaceted system
- multilateral payments system
- multiparty system
- mutually-acceptable system
- national accounting and control system
- national defense system
- new arms systems
- noncapitalist system
- obsolete social system
- old system
- one-man-one-vote system
- one-member-one-vote system
- one-party system
- opposing social systems
- optimum system
- outmoded system
- overhaul of the tax system
- parliamentary system
- party system
- payments system
- pension system
- people's democratic system
- philosophical system
- planning system
- political system
- post adjustment system
- power system
- preferential system
- premium system
- presidential system
- price system
- private enterprise system
- program budgeting system
- proportional representation system
- public pension system
- records system
- regimented political system
- remnants of the system
- reports system
- republican system
- ruling system
- safeguards system
- satellite-tracking system
- sea-based system
- security system
- social security system
- social system
- socio-economic system
- socio-political system
- space defense system
- space weapons systems
- space-based system
- spoils system
- stability system
- stable system
- state political system
- state system
- state-managed social security system
- strategic nuclear-weapon systems
- submarine-based system
- supply system
- system of collective security
- system of exploitation
- system of geographical distribution
- system of government and public organizations - taxation system
- technologically advanced weapons systems
- territorial system
- training system
- transition to a multiparty system
- tribal system
- trusteeship system
- two-party system
- united economic system
- visa system
- voting system
- wage system
- world system
- world trading system -
18 situation
ситуация, обстановка, положение; состояние; условия— chemical warfare situation— electronic environment situation— ground activities situation— jamming environment situation -
19 mind
[maɪnd] 1. сущ.1)а) разум; умственные способности; умon one's mind — в мыслях, на уме
out of one's mind — помешанный, не в своём уме
to cultivate / develop one's mind — развивать, совершенствовать свои способности
to keep one's mind on smth. — думать о чём-л., не переставая
to put / set one's mind to smth. — решить что-л.
to take one's mind off smth. — перестать думать о чём-л.
open mind — объективность, беспристрастность
to lose one's mind — потерять голову, сойти с ума
in the mind's eye — в воображении, мысленно
Syn:б) мышление, умственная деятельность2)а) память; воспоминаниеto bring /call to mind — напомнить
to bear / have/ keep / in mind — помнить, вспоминать; иметь в виду
Keep that in mind. — Сохрани это в памяти.
to be / go / pass out of mind — выскочить из памяти, быть забытым
within time of mind, time within mind of man — в пределах человеческой памяти
- put smb. in mindSyn:б) уст. церемония в память о чём-л.; поминаниеSyn:3) мнение, взгляд, точка зренияto be of one / a mind with smb., to be of smb.'s mind — быть одного и того же мнения с кем-л.
to have an open mind — быть объективным, непредубеждённым
to read smb.'s mind — читать чужие мысли
to speak one's mind, to tell smb. one's mind, to let smb. know one's mind — откровенно, без обиняков высказать свою точку зрения
Syn:4) желание, намерение, склонность- change one's mind- make up one's mind
- make up one's mind to smth.
- be in two minds, be in twenty minds
- have half a mind, have a good mind, have a great mind
- know one's own mind
- piece of one's mindSyn:5) настроение, расположение духаSyn:6) дух, душаdeep in one's mind — (глубоко) в душе, в сердце
mind's eye — духовное око; мысленный взгляд
••Many men, many minds. / No two minds think alike. посл. — Сколько голов, столько умов.; Сколько людей, столько и мнений.
2. гл.Out of sight, out of mind. посл. — С глаз долой - из сердца вон.
1) заботиться (о ком-л. / чём-л.); смотреть, присматривать (за кем / чем-л.); заниматься (чем-л.)Please mind the fire. — Пожалуйста, последите за камином.
Mind your own business. — Занимайся своим делом.
2)а) следить, обращать вниманиеMind your manners. — Следите за своими манерами.
б) слушаться (кого-л.), прислушиваться (к кому-л.)Mind your parents. — Слушай своих родителей.
Syn:3)а) беспокоиться, тревожитьсяNever mind your mistake. — Не беспокойтесь о своей ошибке.
б) возражать, иметь что-л. против (в вопросительном или отрицательном предложении, а также в утвердительном ответе)I don't mind if you go. — Я не против, если ты пойдёшь.
I shouldn't mind marrying. — Я не прочь жениться.
She doesn't mind the cold. — Она не обращает внимания на холод.
I wouldn't mind a cup of tea. — Не откажусь от чашки чая.
Do you mind my smoking? — Вы не возражаете, если я закурю?
I don't mind it a bit. — Нет, нисколько.
Yes, I mind it very much. — Нет, я очень против этого.
Syn:object II4)а) быть внимательным, аккуратным; не забыть выполнитьMind you finish it. — Не забудь закончить это.
Mind you're not late. — Смотрите, не опоздайте.
б) беречься, остерегатьсяMind the broken glass. — Осторожно, битое стекло!
5)а) шотл. напоминатьSyn:б) уст.; диал. помнитьSyn: -
20 capability
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