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101 un grupo de
= a set of, a bunch of, a crop of, a pool of, a cadre of, a cluster of, a galaxy of, a clutch of, a company ofEx. A bibliographic data base comprises a set of records which refer to documents.Ex. So I feel, in Mr. Kilgour's behalf, that everybody should understand that OCLC is a bunch of individuals.Ex. Both the original production and revision of STC spawned a large crop of such items which are worth following up.Ex. This article describes the simulation of a nearest neighbour searching algorithm for document retrieval using a pool of microprocessors.Ex. He has recruited a well-trained cadre of professional local government officials.Ex. Each test involves obtaining a cluster of about five documents known on some grounds to be related in subject matter, and retrieving their descriptors from at least two data bases.Ex. The article ' a galaxy of rustling stars: places on the web and other library and information paths for the deaf' discusses the potential of the World Wide Web (WWW) as a source of information for deaf users.Ex. The article 'Flying starts' features a clutch of 7 new and promising authors and illustrators on the children's book scene this year.Ex. And like any group, any clan, a company of children is cemented together by shared interests, which we frequently recognize as 'crazes'.* * *= a set of, a bunch of, a crop of, a pool of, a cadre of, a cluster of, a galaxy of, a clutch of, a company ofEx: A bibliographic data base comprises a set of records which refer to documents.
Ex: So I feel, in Mr. Kilgour's behalf, that everybody should understand that OCLC is a bunch of individuals.Ex: Both the original production and revision of STC spawned a large crop of such items which are worth following up.Ex: This article describes the simulation of a nearest neighbour searching algorithm for document retrieval using a pool of microprocessors.Ex: He has recruited a well-trained cadre of professional local government officials.Ex: Each test involves obtaining a cluster of about five documents known on some grounds to be related in subject matter, and retrieving their descriptors from at least two data bases.Ex: The article ' a galaxy of rustling stars: places on the web and other library and information paths for the deaf' discusses the potential of the World Wide Web (WWW) as a source of information for deaf users.Ex: The article 'Flying starts' features a clutch of 7 new and promising authors and illustrators on the children's book scene this year.Ex: And like any group, any clan, a company of children is cemented together by shared interests, which we frequently recognize as 'crazes'. -
102 моделирующая программа
1. simulation routine2. simulator routine3. simulation programтест; тестовая программа; программа испытаний — test program
4. simulatorРусско-английский большой базовый словарь > моделирующая программа
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103 физическое моделирование
1) Engineering: field simulation, physical modeling, physical simulation2) Geophysics: analog modeling, physical model experiment3) Quality control: test simulation4) Makarov: physical modellingУниверсальный русско-английский словарь > физическое моделирование
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104 условие
условие сущconditionусловия сущmediaаварийные условия1. emergency conditions2. accident conditions акт о нарушении условийirregularity reportатмосферные условияatmospheric conditionsблагоприятные условияfavorable conditionsвзлет в условиях плохой видимостиlow visibility takeoffвизуальные метеорологические условияvisual meteorological conditionsвремя налета в ночных условияхnight flying timeв соответствии с техническими условиямиin conformity with the specificationsв условиях обтеканияairflow conditionsвходить в условияpenetrate conditionsвыполнять полет в определенных условияхfly under conditionsвыполнять условияfulfil the conditionsграничные условияboundary conditionsданные об условиях полетаflight environment dataдействовать согласно условиямact as conditions dictateзаданные условияpredetermined conditionsзаданные условия полетаgiven conditions of flightзапрашивать условияrequest instructionsзаход на посадку в условиях ограниченной видимостиlow-visibility approachзаявленные условияdeclared conditionsизменение атмосферных условийatmospheric variationимитатор условий полетаflight simulatorимитация полета в натуральных условияхfull-scale flightинструктаж по условиям полета по маршрутуroute briefingинформация по условиям посадкиlanding instructionиспытание вертолета в условиях снежного и пыльного вихрейrotocraft snow and dust testиспытание в реальных условияхdirect testиспытания на соответствие заданным техническим условиям1. proof-of-compliance tests2. functional tests исходные условияdatum conditionsисходные условия сертификацииcertification reference conditionsисходные условия сертификации по шумуnoise certification reference conditionsлетная подготовка в условиях, приближенных к реальнымline oriental flight trainingмеханизм для создания условий полета в нестабильной атмосфереrough air mechanismмоделирование условий полетаflight simulationназемные условияground conditionsнаиболее неблагоприятные погодные условияlowest weather conditionsнеблагоприятные погодные условияadverse weather conditionsнеблагоприятные условияunfavorable conditionsнерасчетные условияoff-design conditionsночные условияnight-time conditionsожидаемые условияexpected conditionsожидаемые условия эксплуатацииanticipated operating conditionsопасные погодные условияhazardous weather conditionsопасные условия полетаhazardous flight conditionsосновные условия перевозкиgeneral conditions of carriageособые условияspecial conditionsотклонение от технических условийdeparture from specificationsперевозчик на договорных условияхcontract carrierпогодные условияweather conditionsполет в условиях болтанки1. bumpy-air flight2. turbulent flight полет в условиях отсутствия видимостиnonvisual flightполет в условиях плохой видимостиlow-visibility flightполетные условияflight conditionsпорядок эксплуатации в зимних условияхsnow planпредупреждение опасных условий полетаavoidance of hazardous conditionsпри благоприятных условияхunder fair conditionsприборные метеорологические условияinstrument meteorological conditionsпри любых метеорологических условияхin all meteorological conditionsрасчетные условия1. reference conditions2. design conditions расчетные условия торможенияreference friction conditionsреальные условия полетаactual flight conditionsреальные условия эксплуатацииfield conditionsскорость в условиях турбулентности1. rough-air speed2. rough airspeed сложные условияsevere environmentсоблюдать технические условияmeet the specificationsсоблюдать условияobserve the conditionsспособность выполнять посадку в сложных метеорологических условияхall-weather landing capabilityтехнические условияtechnical specificationуказания по условиям эксплуатации в полетеinflight operational instructionsусловия без радиолокационного контроляnonradar environmentусловия взлетаtakeoff conditionsусловия видимостиvisibility conditionsусловия вне зоны аэродромаoff-field conditionsусловия в полетеin-flight conditionsусловия в районе аэродромаaerodrome environmentусловия в районе ВППrunway environmentусловия вылетаdeparture requirementsусловия выполнения воздушных перевозокair traffic environmentусловия контрактаcontract conditionsусловия, моделируемые на тренажереsimulated conditionsусловия нагруженияloading conditionsусловия нагружения в полетеflight loading conditionsусловия над океаномoceanic environmentусловия на маршрутеen-route environmentусловия обледенения крылаwing icing conditionsусловия обтекания воздушным потокомairflow conditionsусловия ограниченной видимостиlow visibility conditionsусловия перевозокconditions of carriageусловия плохой видимостиpoor visibility conditionsусловия по заданному маршрутуconditions on the routeусловия посадкиlanding conditionsусловия посадки на водуditching conditionsусловия, по сложности превосходящие квалификацию пилотаconditions beyond the experienceусловия при высокой плотности воздушного движенияhigh density traffic environmentусловия проведения испытанийtest environmentусловия пролетаoverflight conditionsусловия работы экипажаcrew environmentусловия свободного потокаfree-stream conditionsусловия сертификационных испытаний по шумуnoise certification test conditionsусловия с использованием радиолокационного контроляradar environmentусловия у землиground referenceусловия храненияstorage conditionsусловия эксплуатации1. in-service environment2. service conditions установившиеся условияsteady conditionsэксплуатировать в заданных условияхoperate under the conditions -
105 тестирование пропускной способности дорог
тестирование пропускной способности дорог
Тест, предназначенный для определения оптимальной длины автобусных колонн с целью ускорения движения в горах транспорта и приведения результатов моделирования системы в соответствии с реальными показателями.
[Департамент лингвистических услуг Оргкомитета «Сочи 2014». Глоссарий терминов]EN
road capacity test
Test designed to identify the optimal length of bus convoys to speed up mountain transport and fine tune the simulation system results with real data.
[Департамент лингвистических услуг Оргкомитета «Сочи 2014». Глоссарий терминов]Тематики
EN
Русско-английский словарь нормативно-технической терминологии > тестирование пропускной способности дорог
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106 термобарокамера
1) General subject: space chamber (имитирующая космические условия)2) Aviation: climatic test bench (для снятия высотно-климатических характеристик двигателя), environmental chamber3) Medicine: vacuum thermal chamber ( VTC)4) Engineering: altitude-temperature chamber, thermal pressure chamber, thermal vacuum chamber5) Astronautics: climatic chamber, cold room, thermal environment simulation chamber6) Aeronautics: climatic test bench7) Microelectronics: pressure cooker8) Aviation medicine: controlled-environmental ( test) chamber (испытательная), heat chamber, thermal environment simulator -
107 модельное исследование
1) Mathematics: simulation analysis2) Economy: model study3) Oil&Gas technology model test4) Makarov: simulation studyУниверсальный русско-английский словарь > модельное исследование
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108 оборудование для климатических испытаний
Универсальный русско-английский словарь > оборудование для климатических испытаний
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109 воспроизведение
с.; в соч. -
110 имитация
•The simulation of gravity...
* * *Имитация-- The use of engines to carry out corrosion evaluation of materials is expensive and time consuming; hence simulation of engine conditions is employed for this purpose, using low and high pressure test facilities.Русско-английский научно-технический словарь переводчика > имитация
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111 модель
analog, (одежды, обуви) design, ( оборудования) dummy, master form, form, ( автомобиля) job, matrix, make, model, sample part, pattern, sample piece, master plate, prototype, sample, shape, simulator, template* * *моде́ль ж.
model; вчт. тж. analogдеформи́ровать моде́ль — strain a modelконструи́ровать моде́ль — construct [build, develop] a modelкорректи́ровать моде́ль — revise a modelустана́вливать соотве́тствие моде́ли (при́нятой гипо́тезе) — test a modelуточня́ть моде́ль — refine a modelформирова́ть моде́ль проце́сса на ана́логовой [цифрово́й] маши́не — develop the problem set-up for simulation on an analog [digital] computerмоде́ль автомоби́ля — automobile modelмоде́ль автомоби́ля, ба́зовая — base (automobile) modelмоде́ль автомоби́ля, перехо́дная — transitional [interim] (automobile) modelана́логовая моде́ль — analogмоде́ль атмосфе́ры — model atmosphereмоде́ль а́тома — atomic modelмоде́ль а́тома, я́дерная — nuclear model of the atomаэроупру́гая моде́ль — elastic modelмоде́ль без дви́гателя косм. — non-burning modelвале́нтно-силова́я моде́ль физ. — valence-force modelвариацио́нная моде́ль — variational modelвероя́тностная моде́ль — stochastic [probabilistic] modelмоде́ль вселе́нной — model universe, world modelгеометри́чески подо́бная моде́ль — geometrically similar modelгиперзвукова́я моде́ль — hypersonic modelгру́бая моде́ль — crude modelдетермини́рованная моде́ль — deterministic modelдинами́ческая моде́ль — dynamic modelдинами́чески подо́бная моде́ль — dynamically similar modelмоде́ль для испыта́ний на фла́ттер — flutter modelмоде́ль для испыта́ний на што́пор — spin modelмоде́ль для испыта́ния в аэродинами́ческой трубе́ — wind tunnel modelмоде́ль для иссле́дований в свобо́дном полё́те — free-flight modelмоде́ль для определе́ния лобово́го сопротивле́ния — drag modelмоде́ль для проду́вок ав. — wind tunnel modelдово́дочная моде́ль — development modelзвё́здная моде́ль — stellar modelзо́нная моде́ль ( твёрдого тела) — band modelмоде́ль ионосфе́ры — ionospheric modelкласси́ческая моде́ль — classical modelколлекти́вная моде́ль ( твёрдого тела) — collective modelкрупномасшта́бная моде́ль — large-scale modelлите́йная моде́ль — (casting) patternконструи́ровать лите́йную моде́ль — design a casting patternотлива́ть по лите́йной моде́ли — cast [pour] against a patternсоединя́ть лите́йную моде́ль на шипа́х — dowel a casting patternлите́йная, воскова́я моде́ль — wax patternлите́йная, выплавля́емая моде́ль — investment patternлите́йная моде́ль из двух часте́й — cope-and-drag patternлите́йная, многоразъё́мная моде́ль — multiple-part patternлите́йная, неразъё́мная моде́ль — unsplit patternлите́йная, однора́зовая моде́ль — one-time patternлите́йная, пустоте́лая моде́ль — hollow patternлите́йная, разъё́мная моде́ль — split patternлите́йная, скеле́тная моде́ль — skeleton patternлите́йная, сло́жная моде́ль — composite patternлите́йная моде́ль с протя́жкой — stripping patternлите́йная моде́ль стояка́ — gate pin, gate stickлите́йная, це́льная моде́ль — unsplit patternлите́йная, чи́стая моде́ль — loose patternмоде́ль ли́тниковой систе́мы — set of gate patternsмоде́ль ма́ссового обслу́живания — queueing modelмасшта́бная моде́ль — scale modelматемати́ческая моде́ль — mathematical modelмоде́ль математи́ческого обеспе́чения — software simulatorма́тричная моде́ль эк. — matrix modelмоде́ль маши́ны, ба́зовая — basic machineмолекуля́рная моде́ль — molecular model, molecular patternнату́рная моде́ль — full-scale modelмоде́ль непрямо́й анало́гии — indirect-analogy [equation-solving] modelогнева́я моде́ль — fire modelо́пытная моде́ль — test [experimental] modelпло́ская моде́ль — two-dimensional [planar] modelпрогнози́рующая моде́ль — predictive modelпростра́нственная моде́ль — three-dimensional modelмоде́ль прямо́й анало́гии — direct-analogy model, analog (model)моде́ль релье́фной ка́рты, негати́вная — negative mouldмоде́ль релье́фной ка́рты, позити́вная — positive mouldсамонастра́ивающаяся моде́ль — self-adjusting modelмоде́ль с дви́гателем косм. — powered modelсетева́я расчё́тная моде́ль — network analyzer, network calculatorсобира́ть сетеву́ю расчё́тную моде́ль — set up a network analyzerмоде́ль сил изображе́ния — image force modelстереоскопи́ческая моде́ль — stereoscopic [space] imageстохасти́ческая моде́ль — stochastic [probabilistic] modelтеорети́ческая моде́ль — theoretical modelтеплова́я моде́ль — heat [thermal] modelтермоупру́гая моде́ль — thermoelastic modelфизи́ческая моде́ль — physical modelэлектри́ческая моде́ль (напр. ракеты) — an electric analogэлектри́ческая, се́точная моде́ль — electric network analogэлектро́нная моде́ль (напр. процесса) — an electronic analogэтало́нная моде́ль — reference model -
112 модель
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113 радиус разрушения
1. radius of destruction2. damage rangeРусско-английский военно-политический словарь > радиус разрушения
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114 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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115 работы
work
– взрывные работы
– вывод из работы
– выключать из работы
– график работы
– дальность работы
– длительность работы
– дноуглубительные работы
– дорожно-строительные работы
– единица работы
– запас работы
– кровельные работы
– линейные работы
– малярные работы
– монтажные работы
– на протяжении работы
– неудобный для работы
– объем работы
– опыт работы
– опытные работы
– показатель работы
– принцип работы
– проверка работы
– работы химические
– разведочные работы
– режим работы
– скальные работы
– строительные работы
– уборочные работы
– штукатурные работы
– электромонтажные работы
беспичковый режим работы — nonspiking mode
вероятность безотказной работы — probability of survival
время безотказной работы — time between failures
журнал учета работы — operation log
защита от несинхронной работы — loss-of-synchronism protection
имитация безошибочной работы — no-fault simulation
индикатор работы передатчика — TRANSMIT indicator
квант времени работы абонента — port time
лазер непрерывного режима работы — continuous wave laser
неудобное для работы место — awkward position
номинальный режим работы — rated duty
переключатель режимов работы — mode selector switch
переключатель рода работы — function switch
пичковый режим работы — spiking mode
полезное время работы — good time
принцип или режим работы — <biol.> behavioral
проверка режима работы — performance test
режим работы без периодов ожидания — no-wait-state
режим работы двигателей — power conditions
сквозной такт работы ЭВМ — major clock cycle
такт работы ЭВМ — machine cycle time
тепловой эквивалент работы — thermal equivalent of work
холостой режим работы — no-load operation
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116 автоматический стенд для испытаний и моделирования
Engineering: automatic test and simulation setУниверсальный русско-английский словарь > автоматический стенд для испытаний и моделирования
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117 воспроизведение режима дорожных испытаний в лабораторных условиях
Automobile industry: road test simulationУниверсальный русско-английский словарь > воспроизведение режима дорожных испытаний в лабораторных условиях
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118 воспроизведение режима испытаний в лабораторных условиях
Quality control: test simulationУниверсальный русско-английский словарь > воспроизведение режима испытаний в лабораторных условиях
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119 испытательная машина
1) Engineering: tester2) Metallurgy: machine for testing3) Oil: testing machine4) Automation: simulation machine5) Makarov: test machineУниверсальный русско-английский словарь > испытательная машина
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120 испытательно-моделирующая лаборатория
Engineering: simulation and test laboratoryУниверсальный русско-английский словарь > испытательно-моделирующая лаборатория
См. также в других словарях:
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Test pilot — Test pilots are aviators who fly new and modified aircraft in specific maneuvers, allowing the results to be measured and the design to be evaluated. Test pilots may work for military organizations or private, (mostly aerospace) companies.… … Wikipedia
Test logiciel — Test (informatique) En informatique, un test (anglicisme) désigne une procédure de vérification partielle d un système informatique. Le but en est de trouver un nombre maximum de comportements problématiques du logiciel, car il est impossible de… … Wikipédia en Français
Test de Charge — Test de performance Un test de performance ou benchmark est un test dont l objectif est de déterminer la performance d un système informatique. L acception la plus courante de ce terme est celle dans laquelle ces tests logiciels vont avoir pour… … Wikipédia en Français
Test Drive (série) — Test Drive est une série de jeux vidéo de course. créé en 1987. Sommaire 1 Série principale 2 Série « Off Road » 3 Titres dérivés 4 … Wikipédia en Français
test*/*/*/ — [test] noun [C] I 1) a set of written or spoken questions that is used for finding out how much someone knows about a subject Did you get a good mark in your physics test?[/ex] You re going to have to take the test again.[/ex] I passed my English … Dictionary for writing and speaking English