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1 language for manipulation
Автоматика: язык для манипулированияУниверсальный англо-русский словарь > language for manipulation
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2 language for manipulation
Automation: LMУниверсальный русско-английский словарь > language for manipulation
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3 XML Path Language
"A language used to address parts of an XML document. XPath also provides basic facilities for manipulation of strings, numbers, and Boolean values." -
4 LM
Left Margin — левое поле ( граница)List of Materials — материальная ведомость; перечень элементовLeft Margin — левое поле ( граница) экрана -
5 LM
1) Компьютерная техника: L M, List Messages, Local Macro2) Геология: Meander length of river or stream3) Медицина: left main4) Американизм: Land Mean, Lost Minions5) Военный термин: Legion of Merit, Light Map, Loss Of Material, land time, launch mount, lethal material, light maintenance, lightweight machinegun6) Техника: labor management, line man, line mortar, locator, middle7) Шутливое выражение: Living Marxism8) Химия: Lithium Manganese, Lower Melting9) Метеорология: Low Melt10) Железнодорожный термин: Union Pacific Railroad Company11) Астрономия: Low Mass12) Биржевой термин: Liquidity And Money13) Горное дело: обозначение стандарта тонкостенного бурового инструмента для алмазного бурения (США)14) Телевидение: loading motor15) Телекоммуникации: низкая середина (полоса частот)16) Сокращение: Last Month, Licentiate in Medicine, Lord Mayor, left male, list of material, Lunar Module (Apollo spacecraft; a.k.a. LEM), Life Master (Contract Bridge ranking), Labor Month, LadderMonkey (gaming league), Ladies' Meeting, Lady Macbeth, Lady Madonna (Beatles song), Lagrange Multiplier, Lambert(s) (unit of luminance), LanManager, Language Minority (language learning), Laser Module, Lata Mangeshkar (Indian singer), Lateral Meniscus (knee), Lauis Metis (neutral zone planet from Diaspora), Lay Midwife (midwife without a medical degree), Le Mans, Lead Man (Supervisor), Leaky Mode (transmission line), Left Message, Legal Momentum (formerly NOW Legal Defense and Education Fund), Levenberg-Marquardt (algorithm), Libris Mortis (roleplaying games, Dungeons & Dragons), Licensed Midwife, Life Master (Contract Bridge Ranking), Life Member, Lifetime Maintenance, Light Magnum (ammunition), Light Meter (photography), Lightwave Multimeter (Agilent), Line Monitor, Linux Magazine, Linux-Mandrake (Linux Distribution), Liquid Metal, Liquidity-Money (macroeconomic curve that links interest rates and output as a result of interactions in asset markets), List of Material/s, Litchfield and Madison Railroad, Littlewood and Miller (probabilistic model), Load Multiple (IBM), Loadmaster, Local Manufacture, Location Management, Lockheed Martin, Logic Module, Logistics Management, Logistics Manager, Loop Modem, Lorenz-Mie, LoudMusic, Love Marriage, Low Migration (printing ink), Low Moment (chemistry), Lowell Massachussets (.50 caliber ammunition headstamp), Luigi's Mansion (video game), Lumbering Might (computer game), Lunar Magic (game), Lunar Module (replaced LEM), Lunch Menu, Lunixmonster (Natural Selection gaming server), liver metastasis17) Университет: Lab Manual, Learner Model18) Физика: Light Meter19) Электроника: Leaky Mode, Light Microscopy, Linear Monolithic20) Вычислительная техника: Lunar Module (a.k.a. LEM, Apollo spacecraft, Space), локальная ЭВМ (local machine), локальная машина (local machine)21) Нефть: lime22) Биохимия: Light Microscope23) Банковское дело: кривая, характеризующая равновесный уровень дохода и процента на рынке денег (liquidity preference money curve)24) Транспорт: Left Motor25) Экология: Meander length or river or stream26) Деловая лексика: Labor Managed, Linear Model27) Глоссарий компании Сахалин Энерджи: linear meter, load moment28) Образование: Language Minority29) Инвестиции: liquidity preference money curve30) Сетевые технологии: Local Machine, Lock Manager31) Полимеры: low-modulus, low-molecular32) Программирование: Load Math33) Автоматика: language for manipulation, linear motion34) Контроль качества: laboratory evaluation35) Нефть и газ: estimated equivalent dead time, logic manager36) Электротехника: latch magnet, load management37) Имена и фамилии: Leonard Michaels, Lord Michael38) Должность: Leisure Monitor39) Чат: Love Mode40) NYSE. Legg Mason, Inc.41) НАСА: Lunar Module42) Программное обеспечение: Lan Manager, Lisp Maintainer43) Единицы измерений: Long Metre -
6 Lm
1) Компьютерная техника: L M, List Messages, Local Macro2) Геология: Meander length of river or stream3) Медицина: left main4) Американизм: Land Mean, Lost Minions5) Военный термин: Legion of Merit, Light Map, Loss Of Material, land time, launch mount, lethal material, light maintenance, lightweight machinegun6) Техника: labor management, line man, line mortar, locator, middle7) Шутливое выражение: Living Marxism8) Химия: Lithium Manganese, Lower Melting9) Метеорология: Low Melt10) Железнодорожный термин: Union Pacific Railroad Company11) Астрономия: Low Mass12) Биржевой термин: Liquidity And Money13) Горное дело: обозначение стандарта тонкостенного бурового инструмента для алмазного бурения (США)14) Телевидение: loading motor15) Телекоммуникации: низкая середина (полоса частот)16) Сокращение: Last Month, Licentiate in Medicine, Lord Mayor, left male, list of material, Lunar Module (Apollo spacecraft; a.k.a. LEM), Life Master (Contract Bridge ranking), Labor Month, LadderMonkey (gaming league), Ladies' Meeting, Lady Macbeth, Lady Madonna (Beatles song), Lagrange Multiplier, Lambert(s) (unit of luminance), LanManager, Language Minority (language learning), Laser Module, Lata Mangeshkar (Indian singer), Lateral Meniscus (knee), Lauis Metis (neutral zone planet from Diaspora), Lay Midwife (midwife without a medical degree), Le Mans, Lead Man (Supervisor), Leaky Mode (transmission line), Left Message, Legal Momentum (formerly NOW Legal Defense and Education Fund), Levenberg-Marquardt (algorithm), Libris Mortis (roleplaying games, Dungeons & Dragons), Licensed Midwife, Life Master (Contract Bridge Ranking), Life Member, Lifetime Maintenance, Light Magnum (ammunition), Light Meter (photography), Lightwave Multimeter (Agilent), Line Monitor, Linux Magazine, Linux-Mandrake (Linux Distribution), Liquid Metal, Liquidity-Money (macroeconomic curve that links interest rates and output as a result of interactions in asset markets), List of Material/s, Litchfield and Madison Railroad, Littlewood and Miller (probabilistic model), Load Multiple (IBM), Loadmaster, Local Manufacture, Location Management, Lockheed Martin, Logic Module, Logistics Management, Logistics Manager, Loop Modem, Lorenz-Mie, LoudMusic, Love Marriage, Low Migration (printing ink), Low Moment (chemistry), Lowell Massachussets (.50 caliber ammunition headstamp), Luigi's Mansion (video game), Lumbering Might (computer game), Lunar Magic (game), Lunar Module (replaced LEM), Lunch Menu, Lunixmonster (Natural Selection gaming server), liver metastasis17) Университет: Lab Manual, Learner Model18) Физика: Light Meter19) Электроника: Leaky Mode, Light Microscopy, Linear Monolithic20) Вычислительная техника: Lunar Module (a.k.a. LEM, Apollo spacecraft, Space), локальная ЭВМ (local machine), локальная машина (local machine)21) Нефть: lime22) Биохимия: Light Microscope23) Банковское дело: кривая, характеризующая равновесный уровень дохода и процента на рынке денег (liquidity preference money curve)24) Транспорт: Left Motor25) Экология: Meander length or river or stream26) Деловая лексика: Labor Managed, Linear Model27) Глоссарий компании Сахалин Энерджи: linear meter, load moment28) Образование: Language Minority29) Инвестиции: liquidity preference money curve30) Сетевые технологии: Local Machine, Lock Manager31) Полимеры: low-modulus, low-molecular32) Программирование: Load Math33) Автоматика: language for manipulation, linear motion34) Контроль качества: laboratory evaluation35) Нефть и газ: estimated equivalent dead time, logic manager36) Электротехника: latch magnet, load management37) Имена и фамилии: Leonard Michaels, Lord Michael38) Должность: Leisure Monitor39) Чат: Love Mode40) NYSE. Legg Mason, Inc.41) НАСА: Lunar Module42) Программное обеспечение: Lan Manager, Lisp Maintainer43) Единицы измерений: Long Metre -
7 lm
1) Компьютерная техника: L M, List Messages, Local Macro2) Геология: Meander length of river or stream3) Медицина: left main4) Американизм: Land Mean, Lost Minions5) Военный термин: Legion of Merit, Light Map, Loss Of Material, land time, launch mount, lethal material, light maintenance, lightweight machinegun6) Техника: labor management, line man, line mortar, locator, middle7) Шутливое выражение: Living Marxism8) Химия: Lithium Manganese, Lower Melting9) Метеорология: Low Melt10) Железнодорожный термин: Union Pacific Railroad Company11) Астрономия: Low Mass12) Биржевой термин: Liquidity And Money13) Горное дело: обозначение стандарта тонкостенного бурового инструмента для алмазного бурения (США)14) Телевидение: loading motor15) Телекоммуникации: низкая середина (полоса частот)16) Сокращение: Last Month, Licentiate in Medicine, Lord Mayor, left male, list of material, Lunar Module (Apollo spacecraft; a.k.a. LEM), Life Master (Contract Bridge ranking), Labor Month, LadderMonkey (gaming league), Ladies' Meeting, Lady Macbeth, Lady Madonna (Beatles song), Lagrange Multiplier, Lambert(s) (unit of luminance), LanManager, Language Minority (language learning), Laser Module, Lata Mangeshkar (Indian singer), Lateral Meniscus (knee), Lauis Metis (neutral zone planet from Diaspora), Lay Midwife (midwife without a medical degree), Le Mans, Lead Man (Supervisor), Leaky Mode (transmission line), Left Message, Legal Momentum (formerly NOW Legal Defense and Education Fund), Levenberg-Marquardt (algorithm), Libris Mortis (roleplaying games, Dungeons & Dragons), Licensed Midwife, Life Master (Contract Bridge Ranking), Life Member, Lifetime Maintenance, Light Magnum (ammunition), Light Meter (photography), Lightwave Multimeter (Agilent), Line Monitor, Linux Magazine, Linux-Mandrake (Linux Distribution), Liquid Metal, Liquidity-Money (macroeconomic curve that links interest rates and output as a result of interactions in asset markets), List of Material/s, Litchfield and Madison Railroad, Littlewood and Miller (probabilistic model), Load Multiple (IBM), Loadmaster, Local Manufacture, Location Management, Lockheed Martin, Logic Module, Logistics Management, Logistics Manager, Loop Modem, Lorenz-Mie, LoudMusic, Love Marriage, Low Migration (printing ink), Low Moment (chemistry), Lowell Massachussets (.50 caliber ammunition headstamp), Luigi's Mansion (video game), Lumbering Might (computer game), Lunar Magic (game), Lunar Module (replaced LEM), Lunch Menu, Lunixmonster (Natural Selection gaming server), liver metastasis17) Университет: Lab Manual, Learner Model18) Физика: Light Meter19) Электроника: Leaky Mode, Light Microscopy, Linear Monolithic20) Вычислительная техника: Lunar Module (a.k.a. LEM, Apollo spacecraft, Space), локальная ЭВМ (local machine), локальная машина (local machine)21) Нефть: lime22) Биохимия: Light Microscope23) Банковское дело: кривая, характеризующая равновесный уровень дохода и процента на рынке денег (liquidity preference money curve)24) Транспорт: Left Motor25) Экология: Meander length or river or stream26) Деловая лексика: Labor Managed, Linear Model27) Глоссарий компании Сахалин Энерджи: linear meter, load moment28) Образование: Language Minority29) Инвестиции: liquidity preference money curve30) Сетевые технологии: Local Machine, Lock Manager31) Полимеры: low-modulus, low-molecular32) Программирование: Load Math33) Автоматика: language for manipulation, linear motion34) Контроль качества: laboratory evaluation35) Нефть и газ: estimated equivalent dead time, logic manager36) Электротехника: latch magnet, load management37) Имена и фамилии: Leonard Michaels, Lord Michael38) Должность: Leisure Monitor39) Чат: Love Mode40) NYSE. Legg Mason, Inc.41) НАСА: Lunar Module42) Программное обеспечение: Lan Manager, Lisp Maintainer43) Единицы измерений: Long Metre -
8 язык для манипулирования
Automation: language for manipulationУниверсальный русско-английский словарь > язык для манипулирования
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9 LM
1) сокр. от language for manipulation язык для манипулирования2) сокр. от linear motion линейное перемещениеEnglish-Russian dictionary of mechanical engineering and automation > LM
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10 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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11 XPath
"A language used to address parts of an XML document. XPath also provides basic facilities for manipulation of strings, numbers, and Boolean values." -
12 procesamiento
m.1 prosecution (law).2 processing (computing).procesamiento automático de datos automatic data processingprocesamiento de textos word processing* * *1 DERECHO trial2 INFORMÁTICA processing\dictar auto de procesamiento contra alguien to commit somebody for trial, prosecute somebodyauto de procesamiento prosecutionprocesamiento de datos INFORMÁTICA data processingprocesamiento de textos INFORMÁTICA word processing* * *SM1) (Jur) [gen] prosecution; (=juicio) trialauto II, 1)2) (Inform) processing3) (Téc) processing* * *1) (Der) prosecution, trial2) (Tec, Inf) processing•* * *= computation, manipulation, processing, throughput, prosecution.Ex. Frequently numeric data bases and the hosts which support them permit some computation and manipulation of the retrieved data.Ex. Indexing may rely upon the facilities for the manipulation and ordering of data offered by the computer.Ex. Often, the computer is used to aid in the processing of such indexes, and sometimes computer processing is responsible for the creation of multiple entries from one string of index terms.Ex. This revision to the Decimal Classification was adopted immediately by BNB, which would otherwise have found great difficulty in classifying much of its throughput.Ex. This article describes the legal consequences of the perpetration of these crimes and procedural aspects of their prosecution.----* cadena de procesamiento = processing stream.* capacidad de procesamiento = processing power.* postprocesamiento = post-processing.* procesamiento de datos = data processing.* procesamiento de datos numéricos = number-crunching.* procesamiento de información = information processing.* procesamiento de préstamos = loan processing.* procesamiento de señales = signal processing.* procesamiento de texto = text processing.* procesamiento de textos = word processing, wordprocessing.* procesamiento en lenguaje natural = natural language processing.* procesamiento informático = machine processing.* sistema de procesamiento de información = information processing system.* tasa de procesamiento = processing rate.* * *1) (Der) prosecution, trial2) (Tec, Inf) processing•* * *= computation, manipulation, processing, throughput, prosecution.Ex: Frequently numeric data bases and the hosts which support them permit some computation and manipulation of the retrieved data.
Ex: Indexing may rely upon the facilities for the manipulation and ordering of data offered by the computer.Ex: Often, the computer is used to aid in the processing of such indexes, and sometimes computer processing is responsible for the creation of multiple entries from one string of index terms.Ex: This revision to the Decimal Classification was adopted immediately by BNB, which would otherwise have found great difficulty in classifying much of its throughput.Ex: This article describes the legal consequences of the perpetration of these crimes and procedural aspects of their prosecution.* cadena de procesamiento = processing stream.* capacidad de procesamiento = processing power.* postprocesamiento = post-processing.* procesamiento de datos = data processing.* procesamiento de datos numéricos = number-crunching.* procesamiento de información = information processing.* procesamiento de préstamos = loan processing.* procesamiento de señales = signal processing.* procesamiento de texto = text processing.* procesamiento de textos = word processing, wordprocessing.* procesamiento en lenguaje natural = natural language processing.* procesamiento informático = machine processing.* sistema de procesamiento de información = information processing system.* tasa de procesamiento = processing rate.* * *B1 ( Tec) processing2 ( Inf) processingCompuestos:data processing● procesamiento de textos or palabrasword processingparallel processing* * *
procesamiento sustantivo masculino
1 (Der) prosecution, trial
2 (Tec, Inf) processing;
procesamiento sustantivo masculino
1 Jur prosecution, trial
2 Inform processing
procesamiento de datos/textos, data/ word processing
' procesamiento' also found in these entries:
Spanish:
auto
English:
processing
- word processing
- word
* * *1. Der prosecution2. Informát processingprocesamiento de datos data processing;procesamiento de textos word processing* * *m1 INFOR processing2 JUR prosecution* * *: processingprocesamiento de datos: data processing -
13 información textual
(n.) = textual information, text information, text knowledge, textual data, textual matter, textual documentEx. All non-coded ( textual) information which is not to be indexed is kept in the notes area of the record.Ex. A multimedia computer system can integrate two or more types of media materials in digital form, such as audio, image, full-motion video, and text information.Ex. A prototype, natural language, text-knowledge system has emerged from the project and includes a data base manager to compile the text knowledge and to make it available to navigational commands.Ex. Text-numeric databases contain a mixture of textual and numeric data (such as company annual reports) and handbook data.Ex. A word processor is simply a computer which is dedicated to the manipulation of textual matter.Ex. Interfaces for the following types of resources are of special interest to this workshop: textual documents; statistical data; multimedia or mixed-media data; geospatial data; and genomics and proteomics data = En este traller de trabajo son de interés especial los interfaces para los siguientes tipos de recursos: documentos de texto, datos estadísticos, información multimedia, información geospacial y datos de la genómica y la proteómica.* * *(n.) = textual information, text information, text knowledge, textual data, textual matter, textual documentEx: All non-coded ( textual) information which is not to be indexed is kept in the notes area of the record.
Ex: A multimedia computer system can integrate two or more types of media materials in digital form, such as audio, image, full-motion video, and text information.Ex: A prototype, natural language, text-knowledge system has emerged from the project and includes a data base manager to compile the text knowledge and to make it available to navigational commands.Ex: Text-numeric databases contain a mixture of textual and numeric data (such as company annual reports) and handbook data.Ex: A word processor is simply a computer which is dedicated to the manipulation of textual matter.Ex: Interfaces for the following types of resources are of special interest to this workshop: textual documents; statistical data; multimedia or mixed-media data; geospatial data; and genomics and proteomics data = En este traller de trabajo son de interés especial los interfaces para los siguientes tipos de recursos: documentos de texto, datos estadísticos, información multimedia, información geospacial y datos de la genómica y la proteómica. -
14 Memory
To what extent can we lump together what goes on when you try to recall: (1) your name; (2) how you kick a football; and (3) the present location of your car keys? If we use introspective evidence as a guide, the first seems an immediate automatic response. The second may require constructive internal replay prior to our being able to produce a verbal description. The third... quite likely involves complex operational responses under the control of some general strategy system. Is any unitary search process, with a single set of characteristics and inputoutput relations, likely to cover all these cases? (Reitman, 1970, p. 485)[Semantic memory] Is a mental thesaurus, organized knowledge a person possesses about words and other verbal symbols, their meanings and referents, about relations among them, and about rules, formulas, and algorithms for the manipulation of these symbols, concepts, and relations. Semantic memory does not register perceptible properties of inputs, but rather cognitive referents of input signals. (Tulving, 1972, p. 386)The mnemonic code, far from being fixed and unchangeable, is structured and restructured along with general development. Such a restructuring of the code takes place in close dependence on the schemes of intelligence. The clearest indication of this is the observation of different types of memory organisation in accordance with the age level of a child so that a longer interval of retention without any new presentation, far from causing a deterioration of memory, may actually improve it. (Piaget & Inhelder, 1973, p. 36)4) The Logic of Some Memory Theorization Is of Dubious Worth in the History of PsychologyIf a cue was effective in memory retrieval, then one could infer it was encoded; if a cue was not effective, then it was not encoded. The logic of this theorization is "heads I win, tails you lose" and is of dubious worth in the history of psychology. We might ask how long scientists will puzzle over questions with no answers. (Solso, 1974, p. 28)We have iconic, echoic, active, working, acoustic, articulatory, primary, secondary, episodic, semantic, short-term, intermediate-term, and longterm memories, and these memories contain tags, traces, images, attributes, markers, concepts, cognitive maps, natural-language mediators, kernel sentences, relational rules, nodes, associations, propositions, higher-order memory units, and features. (Eysenck, 1977, p. 4)The problem with the memory metaphor is that storage and retrieval of traces only deals [ sic] with old, previously articulated information. Memory traces can perhaps provide a basis for dealing with the "sameness" of the present experience with previous experiences, but the memory metaphor has no mechanisms for dealing with novel information. (Bransford, McCarrell, Franks & Nitsch, 1977, p. 434)7) The Results of a Hundred Years of the Psychological Study of Memory Are Somewhat DiscouragingThe results of a hundred years of the psychological study of memory are somewhat discouraging. We have established firm empirical generalisations, but most of them are so obvious that every ten-year-old knows them anyway. We have made discoveries, but they are only marginally about memory; in many cases we don't know what to do with them, and wear them out with endless experimental variations. We have an intellectually impressive group of theories, but history offers little confidence that they will provide any meaningful insight into natural behavior. (Neisser, 1978, pp. 12-13)A schema, then is a data structure for representing the generic concepts stored in memory. There are schemata representing our knowledge about all concepts; those underlying objects, situations, events, sequences of events, actions and sequences of actions. A schema contains, as part of its specification, the network of interrelations that is believed to normally hold among the constituents of the concept in question. A schema theory embodies a prototype theory of meaning. That is, inasmuch as a schema underlying a concept stored in memory corresponds to the mean ing of that concept, meanings are encoded in terms of the typical or normal situations or events that instantiate that concept. (Rumelhart, 1980, p. 34)Memory appears to be constrained by a structure, a "syntax," perhaps at quite a low level, but it is free to be variable, deviant, even erratic at a higher level....Like the information system of language, memory can be explained in part by the abstract rules which underlie it, but only in part. The rules provide a basic competence, but they do not fully determine performance. (Campbell, 1982, pp. 228, 229)When people think about the mind, they often liken it to a physical space, with memories and ideas as objects contained within that space. Thus, we speak of ideas being in the dark corners or dim recesses of our minds, and of holding ideas in mind. Ideas may be in the front or back of our minds, or they may be difficult to grasp. With respect to the processes involved in memory, we talk about storing memories, of searching or looking for lost memories, and sometimes of finding them. An examination of common parlance, therefore, suggests that there is general adherence to what might be called the spatial metaphor. The basic assumptions of this metaphor are that memories are treated as objects stored in specific locations within the mind, and the retrieval process involves a search through the mind in order to find specific memories....However, while the spatial metaphor has shown extraordinary longevity, there have been some interesting changes over time in the precise form of analogy used. In particular, technological advances have influenced theoretical conceptualisations.... The original Greek analogies were based on wax tablets and aviaries; these were superseded by analogies involving switchboards, gramophones, tape recorders, libraries, conveyor belts, and underground maps. Most recently, the workings of human memory have been compared to computer functioning... and it has been suggested that the various memory stores found in computers have their counterparts in the human memory system. (Eysenck, 1984, pp. 79-80)Primary memory [as proposed by William James] relates to information that remains in consciousness after it has been perceived, and thus forms part of the psychological present, whereas secondary memory contains information about events that have left consciousness, and are therefore part of the psychological past. (Eysenck, 1984, p. 86)Once psychologists began to study long-term memory per se, they realized it may be divided into two main categories.... Semantic memories have to do with our general knowledge about the working of the world. We know what cars do, what stoves do, what the laws of gravity are, and so on. Episodic memories are largely events that took place at a time and place in our personal history. Remembering specific events about our own actions, about our family, and about our individual past falls into this category. With amnesia or in aging, what dims... is our personal episodic memories, save for those that are especially dear or painful to us. Our knowledge of how the world works remains pretty much intact. (Gazzaniga, 1988, p. 42)The nature of memory... provides a natural starting point for an analysis of thinking. Memory is the repository of many of the beliefs and representations that enter into thinking, and the retrievability of these representations can limit the quality of our thought. (Smith, 1990, p. 1)Historical dictionary of quotations in cognitive science > Memory
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15 Brain
Among the higher mammals the great development of neocortex occurs.In each group of mammals there is a steady increase in the area of the association cortex from the most primitive to the evolutionarily most recent type; there is an increase in the number of neurons and their connections. The degree of consciousness of an organism is some function of neuronal cell number and connectivity, perhaps of neurons of a particular type in association cortex regions. This function is of a threshold type such that there is a significant quantitative break with the emergence of humans. Although the importance of language and the argument that it is genetically specified and unique to humans must be reconsidered in the light of the recent evidence as to the possibility of teaching chimpanzees, if not to speak, then to manipulate symbolic words and phrases, there are a number of unique human features which combine to make the transition not merely quantitative, but also qualitative. In particular these include the social, productive nature of human existence, and the range and extent of the human capacity to communicate. These features have made human history not so much one of biological but of social evolution, of continuous cultural transformation. (Rose, 1976, pp. 180-181)[S]ome particular property of higher primate and cetacean brains did not evolve until recently. But what was that property? I can suggest at least four possibilities...: (1) Never before was there a brain so massive; (2) Never before was there a brain with so large a ratio of brain to body mass; (3) Never before was there a brain with certain functional units (large frontal and temporal lobes, for example); (4) Never before was there a brain with so many neural connections or synapses.... Explanations 1, 2 and 4 argue that a quantitative change produced a qualitative change. It does not seem to me that a crisp choice among these four alternatives can be made at the present time, and I suspect that the truth will actually embrace most or all of these possibilities. (Sagan, 1978, pp. 107-109)The crucial change in the human brain in this million years or so has not been so much the increase in size by a factor of three, but the concentration of that increase in three or four main areas. The visual area has increased considerably, and, compared with the chimpanzee, the actual density of human brain cells is at least 50 percent greater. A second increase has taken place in the area of manipulation of the hand, which is natural since we are much more hand-driven animals than monkeys and apes. Another main increase has taken place in the temporal lobe, in which visual memory, integration, and speech all lie fairly close together. And the fourth great increase has taken place in the frontal lobes. Their function is extremely difficult to understand... ; but it is clear that they're largely responsible for the ability to initiate a task, to be attentive while it is being done, and to persevere with it. (Bronowski, 1978, pp. 23-24)The human brain works however it works. Wishing for it to work in some way as a shortcut to justifying some ethical principle undermines both the science and the ethics (for what happens to the principle if the scientific facts turn out to go the other way?). (Pinker, 1994, p. 427)Historical dictionary of quotations in cognitive science > Brain
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16 program
1) программаа) план действий; графикб) последовательность действий, выполняемых компьютером для достижения определённой целив) описание выполняемых компьютером действий на языке программирования или в машинном коде2) разрабатывать программу; планировать; составлять график3) вчт программировать•- absolute program
- accounting program
- activity program
- activity-based program
- add-in program
- AI program
- antivirus program
- application program
- artificial intellect program
- assembler program
- assembly program
- author program
- authoring program
- authorized program
- autostart program
- background program
- batch program
- batch circuit design program
- benchmark program
- blue-ribbon program
- bootstrap program
- brain-damaged program
- brittle program
- broadcast program
- broadcasting program
- broken program
- brute-force program
- byte-code program
- cache program
- CAD program
- calendar program
- CGI program
- channel program
- character-based program
- check program
- checking program
- chip planning program
- closed program
- command control program
- command-driven program
- commercial program
- communications program
- compiler program
- compiling program
- compressor program
- computer program
- computer-aided design program
- control program
- consulting program
- conversational program
- copy program
- core program - cuspy program
- data acquisition program
- debugging program
- decision program
- default output program
- despooling program
- diagnostic program
- dialer program
- dictionary program
- distance-learning program
- dongle-protected program
- draw program
- drawing program
- drill-and-practice program
- dummy program
- edit program - event-driven program
- executable program
- execute-only program
- executive program
- fax program
- fetch program
- file handling program
- file management program
- flamage-generating program
- flexible program
- floating-point program
- foreground program
- form letter program
- froggy program
- function program
- generalized program
- goal-driven program
- graphics program
- grundy program
- hard disk backup program
- hardware program
- hard-wired program
- helper program
- heuristic program
- high-end program
- high frequency active auroral research program
- inference program
- information program
- install program
- input/output program
- input/output limited program
- interactive program
- interpretive program
- LAN backup program
- language translator program
- LAN-ignorant program
- LAN memory management program
- layout-versus-layout program
- learning program
- library program
- linear program
- looping program
- macro program
- mailing list program
- mail-merging program
- main program
- main-line program
- master program
- memory management program
- memory resident program
- menu-driven program
- merge-print program
- MIDI program
- monitor program
- music program
- native program
- network control program
- object program
- one-shot program
- overlay program
- packaged programs
- page composition program
- page layout program
- page makeup program
- paint program
- paintbrush program
- painting program
- peripheral limited program - piped program
- plugged program
- postmortem program
- preemptible program
- preemptive program
- presentation graphics program - program-aid program
- project management program
- quiz program
- radio program
- RAM-resident program
- record-oriented database management program
- reenterable program
- relocatable program
- remote control program
- reusable program
- robot program
- robust program
- routing program
- security program
- self-replicating program
- sequence checking program
- service program
- setup program
- simulation program with integrated circuit emphasis
- simulator program
- snapshot program
- snapshot trace program
- sort program
- sort/merge program
- source program
- spelling-check program
- spreadsheet program
- stand-alone program
- star program
- supervisor program
- supervisory program
- support program
- sustaining program
- symbol manipulation program
- symbolic math program
- system program
- table-oriented database management program
- tailor-made program
- target program
- task interrupt control program
- television program
- terminal interface program
- test program
- thesaurus program
- time-sharing program
- tracing program
- transient program
- transistor analysis program
- trojan-horse program
- tutorial program - user program
- utility program
- vector-to-raster conversion program
- videotape program
- Windows program
- word processing program -
17 program
1) программаа) план действий; графикб) последовательность действий, выполняемых компьютером для достижения определённой целив) описание выполняемых компьютером действий на языке программирования или в машинном коде2) разрабатывать программу; планировать; составлять график3) вчт. программировать•- accounting program
- activity program
- activity-based program
- add-in program
- AI program
- antivirus program
- application program
- artificial intellect program
- assembler program
- assembly program
- author program
- authoring program
- authorized program
- autostart program
- background program
- batch circuit design program
- batch program
- benchmark program
- blue-ribbon program
- bootstrap program
- brain-damaged program
- brittle program
- broadcast program
- broadcasting program
- broken program
- brute-force program
- byte-code program
- cache program
- CAD program
- calendar program
- CGI program
- channel program
- character-based program
- check program
- checking program
- chip planning program
- closed program
- command control program
- command-driven program
- commercial program
- communications program
- compiler program
- compiling program
- compressor program
- computer program
- computer-aided design program
- consulting program
- control program
- conversational program
- copy program
- core program
- coresident programs
- crafty program
- cuspy program
- data acquisition program
- debugging program
- decision program
- default output program
- despooling program
- diagnostic program
- dialer program
- dictionary program
- distance-learning program
- dongle-protected program
- draw program
- drawing program
- drill-and-practice program
- dummy program
- edit program
- electronic circuit analysis program
- entertainment program
- event-driven program
- executable program
- execute-only program
- executive program
- fax program
- fetch program
- file handling program
- file management program
- flamage-generating program
- flexible program
- floating-point program
- foreground program
- form letter program
- froggy program
- function program
- generalized program
- goal-driven program
- graphics program
- grundy program
- hard disk backup program
- hardware program
- hard-wired program
- helper program
- heuristic program
- high frequency active auroral research program
- high-end program
- inference program
- information program
- input/output limited program
- input/output program
- install program
- interactive program
- interpretive program
- LAN backup program
- LAN memory management program
- language translator program
- LAN-ignorant program
- layout-versus-layout program
- learning program
- library program
- linear program
- looping program
- macro program
- mailing list program
- mail-merging program
- main program
- main-line program
- master program
- memory management program
- memory resident program
- menu-driven program
- merge-print program
- MIDI program
- monitor program
- music program
- native program
- network control program
- object program
- one-shot program
- overlay program
- packaged programs
- page composition program
- page layout program
- page makeup program
- paint program
- paintbrush program
- painting program
- peripheral limited program
- personal computer LAN program
- pilot program
- piped program
- plugged program
- postmortem program
- preemptible program
- preemptive program
- presentation graphics program
- primary control program
- problem program
- program for integrated shipboard electronics
- program-aid program
- project management program
- quiz program
- radio program
- RAM-resident program
- record-oriented database management program
- reenterable program
- relocatable program
- remote control program
- reusable program
- robot program
- robust program
- routing program
- security program
- self-replicating program
- sequence checking program
- service program
- setup program
- simulation program with integrated circuit emphasis
- simulator program
- snapshot program
- snapshot trace program
- sort program
- sort/merge program
- source program
- spelling-check program
- spreadsheet program
- stand-alone program
- star program
- supervisor program
- supervisory program
- support program
- sustaining program
- symbol manipulation program
- symbolic math program
- system program
- table-oriented database management program
- tailor-made program
- target program
- task interrupt control program
- television program
- terminal interface program
- test program
- thesaurus program
- time-sharing program
- tracing program
- transient program
- transistor analysis program
- trojan-horse program
- tutorial program
- UNIX-to-UNIX copy program
- unsupported program
- user program
- utility program
- vector-to-raster conversion program
- videotape program
- Windows program
- word processing programThe New English-Russian Dictionary of Radio-electronics > program
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18 DML
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