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1 intelligent programming
Англо-русский словарь технических терминов > intelligent programming
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2 intelligent programming
Универсальный англо-русский словарь > intelligent programming
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3 intelligent programming system
интеллектуальная система программированияАнгло-русский словарь технических терминов > intelligent programming system
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4 intelligent programming system
Универсальный англо-русский словарь > intelligent programming system
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5 intelligent programming system
English-Russian information technology > intelligent programming system
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6 programming
1) программирование; разработка программ2) планирование•programming by example — обучение на примерах ( метод программирования роботов);programming by teaching — программирование ( робота) непосредственным обучением-
absolute programming
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analogic NC part programming
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analogic NC programming
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angle programming
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applicational programming
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application programming
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at-the-machine programming
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away-from-site programming
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CNC machine tool programming
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CNC programming
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computer-aided programming
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computer-assisted NC programming
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concurrent programming
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conversational programming
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convex programming
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direct programming
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discrete programming
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dynamic programming
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egoless programming
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external programming
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families-of-parts programming
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file-oriented programming
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functional programming
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graphic programming
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hands-on programming
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heuristic programming
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iconic programming
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in-house programming
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integer programming
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intelligent programming
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ladder-diagram programming
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linear programming
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live programming
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logical programming
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logic programming
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machine-site programming
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manual programming
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mathematical programming
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minimum-access programming
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minimum-delay programming
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minimum-latency programming
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modular programming
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multiple programming
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NC automatic programming
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object-oriented programming
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off-line programming
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off-the-machine programming
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on-line programming
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on-site programming
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on-the-machine programming
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operator/foreman programming
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parallel programming
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parametric programming
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part programming
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part-surface programming
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PC automatic programming
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procedure-oriented programming
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push-button programming
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relative programming
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remote programming
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robotics programming
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robot programming
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safe zone programming
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shape programming
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shop-floor programming
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step-by-step programming
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stochastic programming
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structured programming
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symbolic programming
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system programming
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TV programming
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visual programming
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voice programming -
7 интеллектуальная система программирования
intelligent programming systemБольшой англо-русский и русско-английский словарь > интеллектуальная система программирования
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8 интеллектуальная система программирования
intelligent programming systemАнгло-русский словарь технических терминов > интеллектуальная система программирования
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9 интеллектуальная система программирования
Русско-английский политехнический словарь > интеллектуальная система программирования
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10 интеллектуальная система программирования
Engineering: intelligent programming systemУниверсальный русско-английский словарь > интеллектуальная система программирования
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11 программирование с помощью интеллектуальной среды
Engineering: intelligent programmingУниверсальный русско-английский словарь > программирование с помощью интеллектуальной среды
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12 более интеллектуальные устройства
Programming: more intelligent devicesУниверсальный русско-английский словарь > более интеллектуальные устройства
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13 более интеллектуальный
Programming: more intelligentУниверсальный русско-английский словарь > более интеллектуальный
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14 интеллектуальная система, основанная на знаниях
Programming: intelligent knowledge-based systemУниверсальный русско-английский словарь > интеллектуальная система, основанная на знаниях
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15 интеллектуальные модули
Programming: intelligent modulesУниверсальный русско-английский словарь > интеллектуальные модули
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16 интеллектуальный возврат
Programming: intelligent backtrackingУниверсальный русско-английский словарь > интеллектуальный возврат
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17 interface
1) граница раздела; поверхность раздела || разделять; являться границей или поверхностью раздела || граничный; расположенный на границе или поверхности раздела ( двух сред); разделяющий2) вчт интерфейс (программное или аппаратное средство взаимодействия и обмена информацией между устройствами, между программами, между устройствами и программами или между человеком и компьютером) || представлять собой интерфейс; служить интерфейсом; снабжать интерфейсом || интерфейсный3) сопряжение; стык; согласование || сопрягать; стыковать; согласовывать || сопрягающий; стыковочный; согласующий4) устройство сопряжения; стыковочный узел; согласующее устройство5) взаимодействие; связь || взаимодействовать; связывать(ся) || взаимодействующий; связанный6) средство взаимодействия; устройство связи7) смежная область (напр. наук) || смежный; относящийся к смежной области (напр. наук)•- air-epi interface
- Apple desktop interface - broadband interface
- call-level interface
- cathode interface
- CD-ROM interface
- channel interface
- chatbot interface
- command interface
- command-line interface
- common gateway interface - composite video interface - computer-to-cassette interface - desktop management interface
- dielectric interface
- diffuse interface
- digital-multiplexed interface - electrical interface
- enhanced IDE interface - expansion interface
- fiber channel interface - flat panel interface
- FP interface
- friendly user interface
- front-end interface
- general circuit interface - hard disk interface
- hardware interface
- head-disk interface
- heterojunction interface
- high performance parallel interface
- human-computer interface
- human-machine interface
- iconic interface
- IDE interface
- infrared interface
- input/output interface
- integrated device electronics interface
- intelligent interface - inter-carrier interface - intuitive user interface - keyboard interface
- land interface
- layered interface - man-computer interface
- man-machine interface - mouse interface
- multiple document interface - Panasonic interface
- parallel interface
- peripheral interface - p-n junction interface
- physical interface
- planar interface
- plastic interface - processor interface
- processor-to-cassette interface
- program interface
- programmable interface
- programmable communications interface
- programmable peripheral interface
- radar-computer interface - RGB TTL interface
- RS232 interface
- RS232C interface
- RS-422 interface
- satellite interface
- scalable coherent interface - seed-melt interface
- serial interface
- serial communication interface
- serial communication interface plus
- serial peripheral interface - software interface
- Sony interface - standard interface
- status control interface
- studio interface
- subscriber-line interface - system interface
- system programming interface
- tape drive interface
- tape backup drive interface - transmitter-receiver interface - visual interface
- WIMP interface -
18 interface
1) граница раздела; поверхность раздела || разделять; являться границей или поверхностью раздела || граничный; расположенный на границе или поверхности раздела ( двух сред); разделяющий2) вчт. интерфейс (программное или аппаратное средство взаимодействия и обмена информацией между устройствами, между программами, между устройствами и программами или между человеком и компьютером) || представлять собой интерфейс; служить интерфейсом; снабжать интерфейсом || интерфейсный3) сопряжение; стык; согласование || сопрягать; стыковать; согласовывать || сопрягающий; стыковочный; согласующий4) устройство сопряжения; стыковочный узел; согласующее устройство5) взаимодействие; связь || взаимодействовать; связывать(ся) || взаимодействующий; связанный6) средство взаимодействия; устройство связи7) смежная область (напр. наук) || смежный; относящийся к смежной области (напр. наук)•- advanced SCSI programming interface
- advanced technology attachment packet interface
- advanced technology attachment software programming interface
- AES/EBU interface
- air-epi interface
- Apple desktop interface
- application binary interface
- application programming interface
- application transaction management interface
- attachment unit interface
- Audio Engineering Society/European Broadcasting Union interface
- audio interface
- baseband interface
- basic rate interface
- BlueTooth interface
- Borland graphic interface
- brain-machine interface
- broadband interface
- call-level interface
- cathode interface
- CD-ROM interface
- channel interface
- chatbot interface
- command interface
- command-line interface
- common gateway interface
- common programming interface for communications
- communication interface
- composite video interface
- computer graphics interface
- computer interface
- computer-to-cassette interface
- computer-to-PBX interface
- copper distributed data interface
- data trunk interface
- deposit-substrate interface
- desktop management interface
- dielectric interface
- diffuse interface
- digital-multiplexed interface
- direct driver interface
- display control interface
- DOS protected mode interface
- EIA interface
- electrical interface
- enhanced IDE interface
- enhanced integrated device electronics interface
- enhanced small disk interface
- epi-substrate interface
- expansion interface
- fiber channel interface
- fiber distributed data interface
- film-substrate interface
- flat panel interface
- FP interface
- friendly user interface
- front-end interface
- general circuit interface
- graphic device interface
- graphical user interface
- growth interface
- hard disk interface
- hardware interface
- head-disk interface
- heterojunction interface
- high performance parallel interface
- human-computer interface
- human-machine interface
- iconic interface
- IDE interface
- infrared interface
- input/output interface
- integrated device electronics interface
- intelligent instrumentation interface
- intelligent interface
- intelligent peripheral interface
- interactive interface
- inter-carrier interface
- Internet server application programming interface
- inter-network interface
- intuitive user interface
- Java naming and directory interface
- JTAG interface
- keyboard interface
- land interface
- layered interface
- license server application programming interface
- local distributed data interface
- local management interface
- logical interface
- man-computer interface
- man-machine interface
- media control interface
- medium dependent interface
- medium independent interface
- memory interface
- message passing interface
- messaging application programming interface
- Mitsumi interface
- mouse interface
- multiple document interface
- musical instrument digital interface
- network application programming interface
- network terminal interface
- network-to-network interface
- object-oriented interface
- open applications interface
- open data-link interface
- open prepress interface
- Panasonic interface
- parallel interface
- peripheral interface
- phantom interface
- physical interface
- planar interface
- plastic interface
- p-n interface
- p-n junction interface
- portable operating system interface
- primary rate interface
- processor interface
- processor-to-cassette interface
- program interface
- programmable communications interface
- programmable interface
- programmable peripheral interface
- radar-computer interface
- remote desktop management interface
- remote user interface
- RGB analog interface
- RGB TTL interface
- RS232 interface
- RS232C interface
- RS-422 interface
- satellite interface
- scalable coherent interface
- SCSA device programming interface
- SCSI parallel interface
- seed-melt interface
- serial communication interface plus
- serial communication interface
- serial interface
- serial peripheral interface
- server-requestor programming interface
- shielded distributed data interface
- slider-disk interface
- small computer system interface
- social user interface
- software interface
- Sony interface
- Sony/Philips digital interface
- speaker voice identification application programming interface
- speech application programming interface
- speech recognition application programming interface
- standard interface
- status control interface
- studio interface
- subscriber line acoustic processing interface
- subscriber-line interface
- superconducting-normal interface
- system interface
- system programming interface
- tape backup drive interface
- tape drive interface
- telephony application programming interface
- telephony server application programming interface
- terminal interface
- transmitter-receiver interface
- twisted-pair distributed data interface
- user interface
- usernetwork interface
- user-to-network interface
- virtual control program interface
- virtual device interface
- visual interface
- WIMP interfaceThe New English-Russian Dictionary of Radio-electronics > interface
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19 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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20 IP
1) Общая лексика: instrument power cable2) Авиация: промежуточное давление3) Медицина: In Patient, Independent Practice, Intense Pain, внутрибрюшинный, интраперитонеальный, ПИУ (полностью имплантируемое устройство - implanted port)4) Американизм: Increased Productivity, Institutional Program5) Военный термин: Imagery Processing, Immediate Permanent Incapacitation Dose, Implementation Procedure, Informal Processing, Information Processor, Initial Production, Initiatives Program, Instrumentation Point, Intelligence Problem, Intelligence Processing, Internal Protocol, identification of position (с помощью аппаратуры опознавания ЛА), identification peculiarity, identification point, impact point, impact predictor, implementation of plan, improvement program, in process, in progress, inactive pay, incentive pay, index of performance, indicator panel, industrial participation, industrial preparedness, industrial production, infrared passive, initial phase, initial point, initial position, initial post, installation procedure, instruction pamphlet, instructor pilot, instrument panel, instrumentation papers, intelligence police, intercept point, issuing point, Initial Point (bombing)6) Техника: input, inspection procedure, instrument package, Степень защиты7) Сельское хозяйство: Inorganic Phosphorus8) Математика: Imaginary Part, по вероятности (in probability), целочисленное программирование (integer programming)9) Религия: Inspired People10) Метеорология: Invisible Particles11) Юридический термин: Identity Preserved, Interesting Persons, ИС (Intellectual Property, интеллектуальная собственность)12) Фармакология: Indian Pharmacopoeia13) Страхование: installment paid14) Грубое выражение: Idiot Proof15) Музыка: Iambic Pentameter16) Оптика: indium phosphide17) Политика: Clipperton Island18) Телекоммуникации: Intelligent Peripheral (AIN), Internet Protocol (IETF)19) Сокращение: Impact Point (missile), Initial Point (bombing term), Initial Provisioning, Innings Pitched, Intellectual Property, Intelligent Peripheral (computer network), Intermediate Point, Intermediate Processor (communications), in possession, instruction plate, interchangeable solid and screen panels, interpost, iron pipe, Induced Polarization, Information Provider, Initial Pressure, intraperitoneal20) Университет: Interesting Point21) Физика: Induced Potential, Interaction Point, ignition point22) Физиология: InterPhalangeal, Intra- Peritoneal23) Вычислительная техника: identification of position, image processor, in-house publishing, in-plant publishing, insertion point, instruction pointer, instruction pulse, integrated processes, intelligent peripheral, interrupt pointer, interrupt priority, interrupt processor, item processing, самый важный из всех протоколов, на котором основана Internet (Через этот протокол осуществляется прямое подключение к Internet), Intelligent Peripheral (IN), Information Provider (Telephony), Instruction Pointer (register, CPU, Intel, Assembler), Internet Protocol (version 4, RFC 791), архитектура системы обработки информации, интегрированный адаптер печатающего устройства, указатель команд24) Литература: International President25) Нефть: induced polarization method, initial potential, ionization potential, isoprenoid, the degree of ingress protection provided by enclosures to IEC 60529, вызванная поляризация (induced polarization), метод вызванной поляризации (induced polarization), начальное давление (initial pressure), начальный дебит (скважины, initial production), степень защиты, обеспечиваемая оболочками26) Биохимия: Imipramine27) Связь: internetwork protocol28) Банковское дело: очередной взнос уплачен (instalment paid)29) Геофизика: ВП30) Фирменный знак: International Pharmaceuticals, Internet Provider, Island Pacific (formerly SVI Solutions, Inc.)31) Патенты: интеллектуальная собственность (Intellectual Property)32) Деловая лексика: Implementable Projects, Incredible Price, Independent Patent33) Бурение: начальный дебит скважины (initial production), initial production (usually describing an initial production test)34) Глоссарий компании Сахалин Энерджи: International Protection, Internet protocol Internet-протокол, immediate pressure, index of protection ("degrees of protection provided by enclosures"), intelligent pig, international practices, Inspection Plan35) Нефтегазовая техника Институт нефти (Великобритания, Institute of Petroleum), начальный потенциальный дебит скважины36) Инвестиции: instalment paid37) Сетевые технологии: Internet Packet, image processing, information processing, источник информации, межсетевой протокол, обработка информации, industrial protocol38) ЕБРР: individual project39) Полимеры: Institute of Petroleum, intermediate pressure, internal pressure40) Программирование: Instructional Pointer41) Контроль качества: integer programming42) Сахалин Ю: ingress protection43) Макаров: initial potential, interface processor, потенциал ионизации44) Военно-воздушные силы: соглашение о "честной игре" (integrity pact)45) Интернет: Internet Protocol46) Расширение файла: Data (Interactive Physics), Inspection Procedures (NRC Inspection Manual)47) Каспий: ingress protection-защита от несанкционированного доступа, защита от взлома48) Электротехника: пылеводозащищённость (ingress protection)49) Исследования и разработки (НИОКР): investigational product50) Компьютерные игры: инди-проект51) Майкрософт: протокол IP52) Общественная организация: India Partners53) NYSE. International Paper Company54) Федеральное бюро расследований: Indianapolis Field Office
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