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21 состоять из
•In each year, there are about 31,557,000 seconds.
•Pink ruby is comprised of A12O3 doped with 0.005% Cr2O3.
•The rest of the plant involves (or consists of) typical mass transfer equipment.
•Production of aluminum metal involves two steps.
•Carbohydrate analysis involves separation of the carbohydrate mixture, identification of the individual carbohydrates, and estimation of their quantities.
•The measuring system is built up from a number of standard units.
•The element is composed (or is made up, or consists) of equal numbers of protons and neutrons.
•Most of the common gaseous elements are constituted by diatomic molecules.
•The rock is made up of the calcite shells of microorganisms.
•The machine is made up of two subassemblies - a drive unit and...
•This class is made up almost entirely of metals.
•The machine is comprised of three automatic drill units, two lead-screw tapping units, and a rotary-indexing turntable.
•The stress tensor comprises the mechanical part and the viscous part.
•The attachment incorporates a microscope and a protractor.
•The hologram comprises (or consists of) 16 subholograms.
II•These graphs fall into two groups.
•The satellite's atmosphere is 90 percent methane.
Русско-английский научно-технический словарь переводчика > состоять из
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22 bergen
v/t; birgt, barg, hat geborgen1. (Verletzte) rescue; (Leichen, Güter) recover; (Schiff) salvage; jemanden tot / lebend bergen recover s.o.’s body / rescue s.o. alive; drei der fünf Bergsteiger konnten nur noch tot geborgen werden it was not possible to rescue three of the five mountaineers alive3. geh. (enthalten) hold, contain; (in sich bergen) hold; (Gefahr, Risiko, Vorteile) auch involve; dieser Versuch birgt erhebliche Probleme this attempt involves ( oder holds) serious problems4. geh. (verstecken) conceal, hide; das Gesicht / den Kopf in den Händen bergen bury one’s face / head in one’s hands* * *to rescue; to salvage* * *bẹr|gen ['bɛrgn] pret ba\#rg [bark] ptp gebo\#rgen [gə'bɔrgn]vt1) (= retten) Menschen to save, to rescue; Leichen to recover; Ladung, Schiff, Fahrzeug to salvage; Ernte to get or gather (in); (NAUT ) Segel to furlaus dem Wasser tot/lebend geborgen werden — to be brought out of the water dead/alive
25 Passagiere konnten lebend geborgen werden (nach Flugzeugabsturz) — 25 passengers were brought out alive
2) (geh = enthalten) to hold; Schätze auch to hidediese Möglichkeit birgt die Gefahr/das Risiko in sich, dass... — this possibility involves the danger/risk that...
3) (liter = verbergen) Gesicht to hide; Verfolgten etc to sheltersie barg ihren Kopf an seiner Schulter — she buried her face in his shoulder
•See:→ auch geborgen* * *(to save from loss or destruction in a fire, shipwreck etc: He salvaged his books from the burning house.) salvage* * *ber·gen<barg, geborgen>[ˈbɛrgn̩]vt1. (retten)Giftstoffe/Tote \bergen to recover toxic material/the deadein Schiff/eine Schiffsladung \bergen to salvage a ship/a ship's cargotot geborgen werden to be recovered dead2. (in Sicherheit bringen)4. (mit sich bringen)▪ jdn [vor jdm/etw] \bergen to shelter sb [from sb/sth]sie barg ihren Kopf an seiner Schulter she buried her face in his shoulder* * *unregelmäßiges transitives Verb1) (retten) rescue, save < person>; salvage <ship, wrecked car>; salvage, recover < cargo, belongings>jemanden tot/lebend bergen — recover somebody's body/rescue somebody alive
2) (geh.): (enthalten) holdGefahren [in sich (Dat.)] bergen — (fig.) hold dangers
* * *jemanden tot/lebend bergen recover sb’s body/rescue sb alive;drei der fünf Bergsteiger konnten nur noch tot geborgen werden it was not possible to rescue three of the five mountaineers alivedieser Versuch birgt erhebliche Probleme this attempt involves ( oder holds) serious problems4. geh (verstecken) conceal, hide;das Gesicht/den Kopf in den Händen bergen bury one’s face/head in one’s hands* * *unregelmäßiges transitives Verb1) (retten) rescue, save < person>; salvage <ship, wrecked car>; salvage, recover <cargo, belongings>jemanden tot/lebend bergen — recover somebody's body/rescue somebody alive
2) (geh.): (enthalten) holdGefahren [in sich (Dat.)] bergen — (fig.) hold dangers
* * *v.(§ p.,pp.: barg, geborgen)= to salvage v. -
23 recuperación de información
(n.) = data retrievalEx. Data retrieval involves the satisfaction of a request for information by providing the information as a direct answer to the question.* * *recuperación de información(RI)(n.) = information retrieval (IR)Ex: Information retrieval (IR) involves the recovery of documents from a given collection which are relevant to a request.
(n.) = data retrievalEx: Data retrieval involves the satisfaction of a request for information by providing the information as a direct answer to the question.
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24 zarandajas
f.pl.1 nonsense, trifles (informal).2 odds and ends.* * *1 familiar trifles* * *femenino plural (Esp fam)lleva un montón de papeleo y demás zarandajas — it involves filling out loads of forms and other fiddly little things (colloq)
* * *femenino plural (Esp fam)lleva un montón de papeleo y demás zarandajas — it involves filling out loads of forms and other fiddly little things (colloq)
* * *cotilleos y otras zarandajas gossip and other tittle-tattle ( colloq)hay que hacer un montón de papeleo y demás zarandajas it involves filling out loads of forms and other fiddly little things ( colloq)* * *
zarandajas fpl (pamplinas) nonsense, trifles
* * *zarandajas nfplFam nonsense, trifles;¡déjate de zarandajas! stop talking nonsense!;siempre me está hablando de psicología, psicoterapia y otras zarandajas she's always talking to me about psychology, psychotherapy or some such nonsense* * *fpl trifles;estas zarandajas de teatro this theater nonsense -
25 impliquer
impliquer [ɛ̃plike]➭ TABLE 11. transitive verba. ( = supposer) to implyb. ( = nécessiter) to entailc. ( = mettre en cause) impliquer qn dans to involve sb in2. reflexive verb* * *ɛ̃plike
1.
1) ( mêler) to implicate [personne]2) ( faire participer) to involve [personnel]4) ( signifier) to mean
2.
s'impliquer verbe pronominal to get involved* * *ɛ̃plike vt1) (= nécessiter) to entail, to involveCela a impliqué des changements assez importants. — This entailed some fairly major changes., This involved some fairly major changes.
Si tu vas à l'université, ça implique que tu vas devoir nous quitter. — If you go to university, it'll mean that you have to leave us.
2) (= supposer) to implyCela implique un changement d'attitude de sa part. — This implies a change of attitude on his part.
3) (= mêler) [personne] to involveIl est impliqué dans un scandale financier. — He's involved in a financial scandal.
* * *impliquer verb table: aimerA vtr1 ( mêler) to implicate [personne] (dans in); il a été directement impliqué dans le scandale he was directly implicated in the scandal;2 ( faire participer) to involve [personnel, employé] (dans in); se sentir impliqué dans un projet to feel involved in a project;3 ( mettre en jeu) to involve [mesure]; cela implique de faire that involves doing; cela implique qu'elle fasse that involves her doing; un tel projet implique de gros moyens such a project involves a lot of money;4 ( signifier) to mean; cela implique qu'elle le fera this means she'll do it.B s'impliquer vpr to get involved (dans in).[ɛ̃plike] verbe transitif2. [supposer - suj: terme, phrase] to imply————————s'impliquer dans verbe pronominal plus préposition -
26 свързан
connected (с with), joined (с to); bound up (с with), bound, tied (с to)(чрез роднинство и пр.) related (с to)(с въпрос и пр.) relevant (с to)(логичен, разбираем) coherent, consistentсвързан чрез семейни връзки с bound by family ties toсвързан за цял живот с linked for life toсвързан и чрез брак tied together in marriageсвързани чрез приятелство bound together by friendshipсъдба, свързана с a fate tied up withсвързани съдби linked destinies, fates bound up togetherне съм свързан с (за въпрос) have no bearing onтрапезарията е свързана направо с кухнята the dining-room leads out of the kitchenпланове, свързан и с много трудности plans attended with many difficultiesоперацията е свързана с риск the operation involves a (certain) risk* * *свъ̀рзан,мин. страд. прич. connected (с with), joined (c to); bound up (c with), bound, tied (c to); ( чрез роднинство и пр.) related (c to); (с въпрос и пр.) relevant (c to); ( логичен, разбираем) coherent, consistent; не съм \свързан с (за въпрос) have no bearing on; операцията е \свързана с риск the operation involves a (certain) risk; \свързан за цял живот с linked for life to; \свързан със съюз(и) език. syndetic; \свързани съдби linked destinies, fates bound up together; \свързани чрез брак tied together in marriage; съдба, \свързана с a fate tied up with; това е \свързано с големи разноски this will entail great expense; тясно\свързан close-knit, closely connected (with), bound up (with).* * *connected (with): The two towns are свързан by a highway. - Двата града са свързани с магистрала., closely свързан with - тясно свързан със; related (to) (за роднини): I am not свързан to him in any way. - Не съм свързан с него по никакъв начин., свързан clauses - свързани изречения; relevant: Your questions are not свързан to the subject. - Въпросите ти не са свързани с темата.; joined ; bound ; coherent ; united {yu;`naitid}: Our two countries are свързан by common interests. - Нашите две страни са свързани чрез общи интереси.* * *1. (логичен, разбираем) coherent, consistent 2. (с въпрос и пр.) relevant (c to) 3. (чрез роднинство и пр.) related (c to) 4. connected (c with), joined (c to);bound up (c with), bound, tied (c to) 5. СВЪРЗАН за цял живот с linked for life to 6. СВЪРЗАН и чрез брак tied together in marriage 7. СВЪРЗАН със съюз(и) грам. syndetic 8. СВЪРЗАН чрез семейни връзки с bound by family ties to 9. СВЪРЗАНи съдби linked destinies, fates bound up together 10. СВЪРЗАНи чрез приятелство bound together by friendship 11. не съм СВЪРЗАН с (за въпрос) have no bearing on 12. операцията е СВЪРЗАНа с риск the operation involves a (certain) risk 13. планове,СВЪРЗАН и с много трудности plans attended with many difficulties 14. съдба, СВЪРЗАНa c a fate tied up with 15. това е СВЪРЗАНо с големи разноски this will entail great expense 16. трапезарията е СВЪРЗАНа направо с кухнята the dining-room leads out of the kitchen 17. тясно СВЪРЗАН с closely connected with, bound up with -
27 merger
Gen Mgtthe union of two or more organizations under single ownership, through the direct acquisition by one organization of the net assets or liabilities of the other. A merger can be the result of a friendly takeover, which results in the combining of companies on an equal footing. After a merger, the legal existence of the acquired organization is terminated. There is no standard definition of a merger, as each union is different, depending on what is expected from the merger, and on the negotiations, strategy, stock and assets, human resources, and shareholders of the players. Four broad types of mergers are recognized. A horizontal merger involves firms from the same industry, while a vertical merger involves firms from the same supply chain. A circular merger involves firms with different products but similar distribution channels. A conglomerate company is produced by the union of firms with few or no similarities in production or marketing but that come together to create a larger economic base and greater profit potential. -
28 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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29 влечь за собой
. связан с•A decrease in Eg implies an increase in...
•This operation entails (or involves, or results in, or leads to) a waste of current.
* * *Влечь за собой -- to entail, to involve; to bring; to bring in its trainThe looser nature of the particulate material in the feed sections entails a greater length necessary to develop pressure.Reducing the concept of a cross-braced truck to practice involves the consideration of numerous factors.Redundancy therefore brings increased complexity which can nullify the benefits.They illustrate three of the basic areas where improvement will bring in its train sign meant reductions in weight.Русско-английский научно-технический словарь переводчика > влечь за собой
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30 за спрос денег не берут
Универсальный русско-английский словарь > за спрос денег не берут
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31 за спрос не дают в нос
Универсальный русско-английский словарь > за спрос не дают в нос
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32 путешествие не связано ни с каким риском
Универсальный русско-английский словарь > путешествие не связано ни с каким риском
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33 шеф-повар
1) General subject: chief cook, senior chef2) French: chef de cuisine3) Gastronomy: chef4) Food industry: head chef (although "head chef" may seem redundant, the word "chef" has come to be applied to any cook, kitchen helper or fast food operator, making the distinction necessary.), executive chef (the position requires extensive cooking experience and often involves actively cooking, it also involves a high level of management and business aspects of the kitchen)5) SAP.tech. kitchen manager -
34 влечь
imply, involve, attract, draw, drag, bring, necessitate• Очевидно, что все подобные вопросы должны влечь за собой рассмотрение... - Obviously all such questions should involve consideration of...• Первый из этих вопросов влечет за собой... - The first of these questions involves...• Последнее условие влечет за собой... - The latter condition implies that...• Предположение, что а > 0, влечет за собой как следствие, что b является неотрицательным. - The assumption a > 0 implies that b is nonnegative.• Это не влечет за собой потери общности. - This involves no loss of generality.• Это определение не влечет за собой... - This definition does not imply that...• Это очень грубое предположение влечет за собой... - This very crude assumption yields... -
35 предположение
(= гипотеза) supposition, hypothesis, suggestion, assumption, premise, conjecture, presumption, guess, proposal• Будем отыскивать противоречие с предположением, что... - We shall seek a contradiction to the assumption that...• Было сделано предположение, что... - It was assumed that...• В (1) неявно принимается предположение, что... - Implicit in (1) is the assumption that...• В данном параграфе делаются следующие предположения:... - In this section the following assumptions are made: (i)...• В данном подходе имеется неявное предположение, что... - Implicit in this viewpoint is the assumption that...• В этой модели делается неявное предположение, что... - Implicit in this model is the assumption that...• Возможно, это разумное предположение, что... - It is probably a reasonable assumption that...• Все эти исследования основываются на одном и том же предположении. - All these studies rest on the same assumption.• Данное доказательство существенно опирается на наше предположение о том, что... - The proof rests fundamentally on our assumption that...• Данный результат объясняется и качественно, и количественно предположением, что... - This result is both qualitatively and quantitatively explained by the assumption that...• Джонс делает предположение, что... - Jones makes the assumption that...• До сих пор мы не делали предположений относительно... - So far we have made no assumptions regarding...• Другое рабочее предположение состоит в том, что... - Another working assumption is that...• Если это предположение неверно, то... - If this assumption is wrong, then...• Затем, согласно предположению,... - Then, by hypothesis,...• Здесь мы уже сделали два важных предположения. - Here we have made two important assumptions.• Имеется несколько причин, по. которым в этом предположении следует усомниться. - There are several reasons why this assumption should be questioned.• Интересно предположение, действительно ли... - It is interesting to speculate whether...• Исходя из ошибочного предположения, что... - On the mistaken assumption that...• Каждая из этих теорий включает в себя предположения относительно... - Each of these theories involves assumptions about...• Можно было бы попытаться объяснить этот эффект предположением, что... - One could try to explain this effect by assuming that...• Мы будем придерживаться нашего начального предположения, что... - We shall maintain our initial assumption that...• Мы делаем обычное предположение, что... - We make the usual assumption that...• Мы делаем это в предположении, что... - We do this on the assumption that...• Мы докажем эту теорему при дополнительном предположении, что... - We prove this theorem subject to the extra assumption that...• Мы исходим из предположения... - We proceed from the assumption that...; We operate on the premise that...• Наиболее просто это было объяснено предположением, что... - This was most simply explained by the supposition that...• Напоминаем, что по отношению... не было введено никаких предположений. - Recall that no assumptions have been made with regard to...• Наши рассуждения в предыдущем параграфе могли бы привести нас к предположению, что... - Our work in the previous section might lead us to suspect that...• Нашим начальным предположением было то, что... - Our initial assumption was that...• Необходимо сделать некоторое предположение относительно... - It is necessary to make some assumption regarding...• Неявно в этом предположении содержится... - Implicit in this assumption is that...• Обоснование данного предположения затрагивает теорию... - The justification of this assumption involves the theory of...• Обоснование для этих предположений находится единственно в... - The justification of these assumptions lies solely in...• Однако мы никогда не вводили никаких предположений относительно... - At no time, however, have we made any assumptions regarding...• Однако не менее важным является предположение, что... - Equally important, however, is the assumption that...• Они были выведены в предположении, что... - These were derived on the assumption that...• Они ввели простое предположение, что... - They made the simple assumption that...• Относительно... здесь не делается никаких предположений. - No assumption is made here about...• Предыдущее уравнение базируется на предположении... - The above equation is based on the assumption that...• Предыдущие рассуждения базируются на предположении... - The foregoing arguments rely on the assumption that...• Предыдущие результаты были получены в рамках предположения... - The above results have been obtained under the assumption of...• При более слабых предположениях о регулярности начальных данных... - Under weaker regularity assumptions on initial data...• При этих предположениях относительно к мы получаем... - Under the assumptions made on к, we get...• Простейшее разумное предположение состоит в том, что... - The simplest reasonable assumption is that...• Распространенной ошибкой является предположение, что... - It is a common error to suppose that...• Следовательно, мы выдвигаем предположение, что... - We therefore conjecture that...• Справедливость данного предположения будет рассмотрена позднее, когда... - The validity of this assumption will be considered further when...• Теперь мы исключим предположение, что... - We now remove the assumption that...• Теперь это предположение доказано, так как... - This assumption has now been justified, since...• Тест основывается на предположении о том, что... - The test rests on the assumption that...• Хотя такое предположение кажется правдоподобным,... - Although such an assumption seems plausible,...• Чтобы доказать это утверждение, мы сделаем упрощающее предположение, что... - То prove this statement, we make the simplifying assumption that...• Чтобы избежать неуместных усложнений, мы сделаем упрощающее предположение, что... - То avoid undue complication we make the simplifying assumption that...• Эти результаты согласуются с предположением, что... - These results are consistent with the assumption that...• Это очень грубое предположение влечет за собой... - This very crude assumption yields...• Это предположение игнорирует тот факт, что... - The assumption ignores the fact that...• Это предположение согласуется с... - The assumption is consistent with...• Это противоречит предположению, что... - This is contrary to the hypothesis that...• Это противоречит широко используемому предположению, что... - This is contrary to the widely used assumption that...• Это решение основано/основывается на предположении, что... - This solution is based on the assumption that...• Это является следствием предположения относительно существования... - This is a consequence of assuming the existence of...• Этот результат не зависит ни от каких предположений относительно... - This result is independent of any assumption about... -
36 einweisen
v/t (unreg., trennb., hat -ge-)1. einweisen in (+ Akk) ein Heim, Krankenhaus etc.: admit to; in eine Anstalt einweisen institutionalize2. jemanden in eine Aufgabe einweisen show s.o. what to do; jemanden in seine neue Stelle einweisen introduce s.o. to his ( oder her) new job, show s.o. the ropes* * *to instruct; to brief* * *ein|wei|senvt sep1) (in Wohnung, Haus) to send, to assign (in +acc to)2) (in Krankenhaus, Heilanstalt) to admit (in +acc to)3)er wurde von seinem Vorgänger (in die Arbeit) eingewiesen — his predecessor showed him what the job involved
4) (in ein Amt) to install (in +acc in)5) (AUT) to guide in (in +acc -to)* * *ein|wei·sen1. MEDjdn ins Krankenhaus \einweisen to send sb to hospitalder Patient wurde gestern eingewiesen the patient was admitted yesterdayjdn in eine psychiatrische Klinik \einweisen to commit sb to a mental hospitalIhre Kollegin wird Sie in Ihre neue Tätigkeit \einweisen your colleague will show you what your new job entails3. AUTOin enge Parklücken sollte man sich besser \einweisen lassen it's better to be guided into tight parking spaces* * *unregelmäßiges transitives Verb1)jemanden [in eine/die Arbeit] einweisen — show somebody what a/the job involves
4) (Verkehrsw.) direct* * *einweisen v/t (irr, trennb, hat -ge-)1.einweisen in (+akk) ein Heim, Krankenhaus etc: admit to;in eine Anstalt einweisen institutionalize2.jemanden in eine Aufgabe einweisen show sb what to do;jemanden in seine neue Stelle einweisen introduce sb to his ( oder her) new job, show sb the ropes3. in ein Amt: instal(l) (in +akk in), inaugurate (into)4. (Fahrzeug) direct (in +akk into)* * *unregelmäßiges transitives Verb1)jemanden [in eine/die Arbeit] einweisen — show somebody what a/the job involves
3) (in ein Amt) install4) (Verkehrsw.) direct* * *v.to indoctrinate v.to instruct v.to introduce v. -
37 Geländespiel
n outdoor game that involves following a cross-country route and performing tasks or collecting objects along the way* * *Ge|lạ̈n|de|spielntscouting game; (MIL) field exercise* * *Geländespiel n outdoor game that involves following a cross-country route and performing tasks or collecting objects along the way -
38 Lehre
f; -, -n1. (Erfahrung) lesson; einer Geschichte: moral; das war mir eine Lehre that was a lesson (for me); lass dir das eine Lehre sein let that be a lesson to you; eine Lehre ziehen aus draw a lesson from, take a warning from; weitS. learn from; wir müssen aus dieser Panne unsere Lehren ziehen we must learn (the lessons) from this failure2. Berufsausbildung: apprenticeship; bei jemandem in die Lehre gehen be apprenticed ( oder an apprentice) to s.o.; bei dem kannst du noch in die Lehre gehen umg., fig. he can teach you a thing or two; bei jemandem in die Lehre gegangen sein fig. have learnt (Am. learned) a lot from s.o.; eine harte Lehre durchmachen ( müssen) (have to) learn the hard way5. (Ratschlag) (piece of) advice—f; -, -n; TECH. ga(u)ge* * *die Lehre(Berufsausbildung) apprenticeship;(Lehrmeinung) tenet; doctrine;(Unterricht) teaching; lesson;(Werkzeug) gage; gauge* * *Lehre is the name for vocational training in trade and industry. It is strictly regulated and usually lasts three years, although those who have their Abitur are often allowed to reduce this by one year. The trainees, so-called Auszubildende or Azubis for short, work in a company and become familiar with all the different areas of their future profession. They also have classes at a vocational college for two days a week, or in blocks of seminars. At the end of the training period they take their Gesellenprüfung. See: → Abitur* * *die1) (the state of being, or the time during which a person is, an apprentice: He is serving his apprenticeship as a mechanic.) apprenticeship2) (knowledge handed down on a subject: the lore of the sea.) lore3) (guidance or instruction: She followed her mother's teaching.) teaching4) (something that is taught: one of the teachings of Christ.) teaching* * *Leh·re1<-, -n>[ˈlerə]f1. ([handwerkliche] Ausbildung) apprenticeship, traineeshipkaufmännische \Lehre apprenticeshipeine \Lehre aufnehmen to start an apprenticeship [or become apprenticed]die \Lehre beenden to finish one's apprenticeship[bei jdm] in die \Lehre gehen to serve one's apprenticeship [with [or under] sb], to be trained [by sb]bei jdm [noch] in die \Lehre gehen können to be [still] able to learn a thing or two from sbeine \Lehre [als etw] machen to serve an apprenticeship [or train] [as a/an sth]2. (Erfahrung, aus der man lernt) lessonjdm eine \Lehre sein to teach sb a lessondas soll dir eine \Lehre sein! let that be a lesson to you!jdm eine \Lehre erteilen to teach sb a lesson3. (ideologisches System) doctrine4. (Theorie) theory5.Leh·re2<-, -n>[ˈlerə]f (Gerät) ga[u]ge* * *die; Lehre, Lehren1) (Berufsausbildung) apprenticeshipbei jemandem in die Lehre gegangen sein — (fig.) have learnt a lot from somebody
2) (Weltanschauung) doctrinedie Lehre Kants/Hegels/Buddhas — the teachings pl. of Kant/Hegel/Buddha
3) (Theorie, Wissenschaft) theorydie Lehre vom Schall — the science of sound or acoustics
4) (Erfahrung) lesson•• Cultural note:jemandem eine [heilsame] Lehre erteilen — teach somebody a [salutary] lesson
This type of apprenticeship is still the normal way to learn a trade or train for a practical career in Germany. A Hauptschulabschluss is the minimum requirement, although many young people with a Realschulabschluss or Abitur opt to train in this way. A Lehre takes about 2 to 3 years and involves practial training by a Meister backed up by lessons at a Berufsschule, with an exam at the end* * *Lehre1 f; -, -ndas war mir eine Lehre that was a lesson (for me);lass dir das eine Lehre sein let that be a lesson to you;eine Lehre ziehen aus draw a lesson from, take a warning from; weitS. learn from;wir müssen aus dieser Panne unsere Lehren ziehen we must learn (the lessons) from this failure2. Berufsausbildung: apprenticeship;bei jemandem in die Lehre gehen be apprenticed ( oder an apprentice) to sb;bei dem kannst du noch in die Lehre gehen umg, fig he can teach you a thing or two;eine harte Lehre durchmachen (müssen) (have to) learn the hard way3. (Weltanschauung) teaching, doctrine;nach der marxistischen Lehre according to Marxist doctrine5. (Ratschlag) (piece of) adviceLehre2 f; -, -n; TECH ga(u)ge* * *die; Lehre, Lehren1) (Berufsausbildung) apprenticeshipbei jemandem in die Lehre gegangen sein — (fig.) have learnt a lot from somebody
2) (Weltanschauung) doctrinedie Lehre Kants/Hegels/Buddhas — the teachings pl. of Kant/Hegel/Buddha
3) (Theorie, Wissenschaft) theorydie Lehre vom Schall — the science of sound or acoustics
4) (Erfahrung) lesson•• Cultural note:jemandem eine [heilsame] Lehre erteilen — teach somebody a [salutary] lesson
This type of apprenticeship is still the normal way to learn a trade or train for a practical career in Germany. A Hauptschulabschluss is the minimum requirement, although many young people with a Realschulabschluss or Abitur opt to train in this way. A Lehre takes about 2 to 3 years and involves practial training by a Meister backed up by lessons at a Berufsschule, with an exam at the end* * *-n f.apprenticeship n.doctrine n.egalitarianism n.teachings n.tenet n. -
39 Zivildienst
* * *Zivildienst is community service done as an alternative to compulsory military service or Wehrdienst. Anyone seeking exemption from military service must present his case at a special hearing. Zivildienst is mainly carried out in the social services sector, where Zivis - as those doing community work are known - are generally welcomed, since they are an inexpensive and well-motivated workforce. In Switzerland there is no way of avoiding compulsory military service. See: → WEHRDIENST* * *Zi·vil·dienst* * *der; o. Pl.: community service as an alternative to military service•• Cultural note:Community service which recognized conscientious objectors in Germany and Austria can choose to carry out instead of Wehrdienst. It lasts ten months in Germany ( eight months in Austria) and usually involves caring for children, the elderly, the disabled, or the sick* * ** * *der; o. Pl.: community service as an alternative to military service•• Cultural note:Community service which recognized conscientious objectors in Germany and Austria can choose to carry out instead of Wehrdienst. It lasts ten months in Germany ( eight months in Austria) and usually involves caring for children, the elderly, the disabled, or the sick* * *m.alternative service (in lieu of military service) n.community service n. -
40 Método de la Secuencia Crítica
(n.) = Critical Path Method (CPM)Ex. This system for planning and scheduling work, sometimes called Critical Path Method (CPM), involves: 1) identifying all of the key activities in a particular project; 2) devising the sequence of activities and arranging them in a flow diagram; and finally 3) assigning durations of time for the performance of each phase of the work to be done.* * *(n.) = Critical Path Method (CPM)Ex: This system for planning and scheduling work, sometimes called Critical Path Method (CPM), involves: 1) identifying all of the key activities in a particular project; 2) devising the sequence of activities and arranging them in a flow diagram; and finally 3) assigning durations of time for the performance of each phase of the work to be done.
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