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1 execution context
контекст исполнения [задачи, процесса]Англо-русский толковый словарь терминов и сокращений по ВТ, Интернету и программированию. > execution context
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2 context
1) (от лат. contextus - соединение) текущий статус, режим работы или состояние системы; текущее содержимое регистров и флагов процессора; окружение, среда исполнения программы; текущая ситуация и т. п. Контекст ЦП должен быть сохранён при возникновении прерывания и переключении на другую задачу или процесс (см. context switching)см. тж. context awareness, context diagram, context help, context-sensitive, execution context, help context, process context, security context2) фрагмент текста, имеющий определённый смысл3) прил. контекстный, контекстуальныйсм. тж. contextualАнгло-русский толковый словарь терминов и сокращений по ВТ, Интернету и программированию. > context
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3 process context
совокупность данных, необходимых ОС для отслеживания исполнения процесса и переключения контекстовАнгло-русский толковый словарь терминов и сокращений по ВТ, Интернету и программированию. > process context
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4 A thread is an independent context of execution within an operating system process
Общая лексика: Поток — это независимый контекст исполнения в рамках процесса операционной системы (см. A Practical Guide to Testing Object-Oriented Software by John D. McGregor, Davi)Универсальный англо-русский словарь > A thread is an independent context of execution within an operating system process
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5 independent context of execution
Программирование: независимый контекст исполненияУниверсальный англо-русский словарь > independent context of execution
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6 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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7 ECC
1) Общая лексика: Emergency Co-ordination Centre (SEIC)2) Компьютерная техника: A Error Correction And Control, Error Correction Circuitry, Error Correction Coding, Error Crc Check3) Авиация: entertainment control center, Electronic Engine Control, Eurocontrol Experimental Centre5) Спорт: East Central Conference6) Военный термин: EXFOR Coordination Cell, Electronic Components Code, Enlisted Classification Code, Enlisted Correspondence Course, Eurasian Communist Countries, European Communist Countries, European Community Commission, European Coordination Committee, Experiment Control Center, emergency combat capability, emergency control center, engineering casualty control, equipment category code, equipment configuration control, error checking and correction7) Техника: Energy Conservation Council, electronic calibration center, emergency cooling circuit, emergency core cooling, engineering change control, engineering critical component, error check circuitry8) Химия: Emulsion Cloud Chamber9) Математика: код с исправлением ошибок (error checking code), обнаружение и исправление ошибок (error checking and correction), помехоустойчивый код (error controlled code)10) Религия: East Coast Crips, Episcopal Cathedral Church11) Метеорология: Error Correcting Codewords12) Автомобильный термин: electronic climate control13) Дипломатический термин: European Cultural Centre14) Телекоммуникации: Extended Community Calling, встроенный канал управления (Embedded Control Channel)15) Сокращение: Economic Council of Canada, Elderly Citizens Club, Error Checking & Correction, Error Control Code, Error Correcting Code, European Coordinating Committee, European Cultural Center, European Cultural Commission, Export Consultants Corp. (USA), Error Correction Code (corrects error in memory or transmission), Electron Coupling Control, Elliptic Curves Cryptography, Error Checking and Correcting Memory16) Университет: Error Correction And Checking17) Физика: Engineered Cementitious Composites18) Физиология: Emergency Cardiac Care, Enteric Coated Capsule, External Cardiac Compressions, Extracorporeal Circulation19) Электроника: Error Correction Circuit20) Вычислительная техника: embedded control channel, error correction code, experimental computer complex, extended character code, Electrical Connectivity Checks (CAD), Error Correction Circuit (CPU, POWER), Elliptic Curve Cryptosystem (Certicom, Verschluesselung), Error Correction Code (corrects error in memory or transmission), error checking and correcting, расширенный код символа, экспериментальный вычислительный комплекс21) Нефть: emergency control centre22) Экология: Environmental Contaminants Committee23) Образование: Early Childhood Consultant24) Сетевые технологии: Elliptic Curve Cryptography, error checking and control, error checking capability, error-correcting code, возможность контроля ошибок, корректирующий код25) Программирование: диаграмма управления выполнением (см. Execution Control Chart), диаграмма ECC26) Телефония: Extended Call Context27) Сахалин Р: Emergency Command Centres28) Химическое оружие: explosive containment cubicle29) Макаров: emergency core coolant, захват электрона континуумом30) Безопасность: Electronic Check Conversion, Elliptic Curve Cryptosystem, Error Checking Code31) Расширение файла: Elliptic Curve Crypto, Error Check Code32) Нефть и газ: Emergency Communications Center33) Электротехника: electric control center, electrical continuous cloth34) Высокочастотная электроника: embedded communication channel35) Должность: European Clinical Chemist36) NYSE. E C C International Corporation37) Программное обеспечение: Error Checking Correcting -
8 ecc
1) Общая лексика: Emergency Co-ordination Centre (SEIC)2) Компьютерная техника: A Error Correction And Control, Error Correction Circuitry, Error Correction Coding, Error Crc Check3) Авиация: entertainment control center, Electronic Engine Control, Eurocontrol Experimental Centre5) Спорт: East Central Conference6) Военный термин: EXFOR Coordination Cell, Electronic Components Code, Enlisted Classification Code, Enlisted Correspondence Course, Eurasian Communist Countries, European Communist Countries, European Community Commission, European Coordination Committee, Experiment Control Center, emergency combat capability, emergency control center, engineering casualty control, equipment category code, equipment configuration control, error checking and correction7) Техника: Energy Conservation Council, electronic calibration center, emergency cooling circuit, emergency core cooling, engineering change control, engineering critical component, error check circuitry8) Химия: Emulsion Cloud Chamber9) Математика: код с исправлением ошибок (error checking code), обнаружение и исправление ошибок (error checking and correction), помехоустойчивый код (error controlled code)10) Религия: East Coast Crips, Episcopal Cathedral Church11) Метеорология: Error Correcting Codewords12) Автомобильный термин: electronic climate control13) Дипломатический термин: European Cultural Centre14) Телекоммуникации: Extended Community Calling, встроенный канал управления (Embedded Control Channel)15) Сокращение: Economic Council of Canada, Elderly Citizens Club, Error Checking & Correction, Error Control Code, Error Correcting Code, European Coordinating Committee, European Cultural Center, European Cultural Commission, Export Consultants Corp. (USA), Error Correction Code (corrects error in memory or transmission), Electron Coupling Control, Elliptic Curves Cryptography, Error Checking and Correcting Memory16) Университет: Error Correction And Checking17) Физика: Engineered Cementitious Composites18) Физиология: Emergency Cardiac Care, Enteric Coated Capsule, External Cardiac Compressions, Extracorporeal Circulation19) Электроника: Error Correction Circuit20) Вычислительная техника: embedded control channel, error correction code, experimental computer complex, extended character code, Electrical Connectivity Checks (CAD), Error Correction Circuit (CPU, POWER), Elliptic Curve Cryptosystem (Certicom, Verschluesselung), Error Correction Code (corrects error in memory or transmission), error checking and correcting, расширенный код символа, экспериментальный вычислительный комплекс21) Нефть: emergency control centre22) Экология: Environmental Contaminants Committee23) Образование: Early Childhood Consultant24) Сетевые технологии: Elliptic Curve Cryptography, error checking and control, error checking capability, error-correcting code, возможность контроля ошибок, корректирующий код25) Программирование: диаграмма управления выполнением (см. Execution Control Chart), диаграмма ECC26) Телефония: Extended Call Context27) Сахалин Р: Emergency Command Centres28) Химическое оружие: explosive containment cubicle29) Макаров: emergency core coolant, захват электрона континуумом30) Безопасность: Electronic Check Conversion, Elliptic Curve Cryptosystem, Error Checking Code31) Расширение файла: Elliptic Curve Crypto, Error Check Code32) Нефть и газ: Emergency Communications Center33) Электротехника: electric control center, electrical continuous cloth34) Высокочастотная электроника: embedded communication channel35) Должность: European Clinical Chemist36) NYSE. E C C International Corporation37) Программное обеспечение: Error Checking Correcting -
9 legal
1) законна дія2) законний, легальний; заснований на законі; заснований на загальному праві, який регулюється загальним правом; легітимний; правовий; правознавчий; правомірний; правосудний; судовий; узаконений; юридичний•legal and administrative machinery for family support — правові і адміністративні заходи підтримки сім'ї
legal gap in protection afforded — прогалина у правовому захисті, що надається
- legal abortionlegal power to correct legal errors — надане законом право виправляти юридичні ( або судові) помилки
- legal abuse
- legal access
- legal accountability
- legal acquisition
- legal act
- legal action
- legal activities
- legal activities activity
- legal acts
- legal address
- legal administration
- legal advertisement
- legal advice
- legal advice bureau
- legal advice center
- legal advice centre
- legal advice office
- legal adviser
- legal advisor
- legal age
- legal agency
- legal agent
- legal aid
- legal aid agency
- legal aid bureau
- legal aid office
- legal aid order
- legal alien
- legal analogy
- legal analysis
- legal approach
- legal area
- legal argument
- legal arrest
- legal aspect
- legal assets
- legal assignment
- legal assistance
- legal assistant
- legal assumption
- legal author
- legal autonomy
- legal awareness
- legal bar
- legal barrier
- legal basis
- legal bill
- legal body
- legal bond
- legal boundary
- legal burden
- legal business
- legal cadres
- legal calendar
- legal capacity
- legal capital
- legal career
- legal case
- legal category
- legal cause
- legal certainty
- legal challenge
- legal changes
- legal charge
- legal check
- legal cheque
- legal circumstance
- legal citation
- legal claim
- legal closing time
- legal code
- legal coercion
- legal committee
- legal competence
- legal complexity
- legal concept
- legal condition
- legal confinement
- legal conflict
- legal conscience
- legal consequence
- legal consequences
- legal consideration
- legal construction
- legal consultation
- legal context
- legal continuity
- legal control
- legal controversy
- legal conviction
- legal-correctional process
- legal costs
- legal councilor
- legal councillor
- legal counsel
- legal counseling
- legal counselor
- legal counsellor
- legal crackdown
- legal crime
- legal culture
- legal currency
- legal custody
- legal custom
- legal decision
- legal deduction
- legal defect
- legal defence
- legal defense
- legal deficiency
- legal definition
- legal delinquency
- legal delivery
- legal demand
- legal deontology
- legal department
- legal dependence
- legal deposit copy
- legal deposit library
- legal descent
- legal details
- legal detention
- legal device
- legal difference
- legal disability
- legal disadvantage
- legal discretion
- legal discrimination
- legal dispute
- legal doctrine
- legal document
- legal documentation
- legal drinking
- legal drinking age
- legal drinking limit
- legal drug
- legal duty
- legal duty
- legal eagle
- legal eavesdropping
- legal education
- legal effect
- legal effectiveness
- legal efficacy
- legal enforcement
- legal enforcement of law
- legal enforcement procedure
- legal entity under public law
- legal entity
- legal environment
- legal equality
- legal equality of the sexes
- legal error
- legal essence
- legal estate
- legal ethics
- legal evaluation
- legal evidence
- legal excuse
- legal execution
- legal executive
- legal exemption
- legal expenses
- legal expenses insurance
- legal experience
- legal expert
- legal expertise
- legal explanation
- legal exposition
- legal fact
- legal father
- legal fees
- legal fetishism
- legal fiction
- legal field
- legal fight
- legal force
- legal form
- legal formality
- legal formula
- legal formulation
- legal foundation
- legal foundations
- legal frame
- legal framework
- legal framing
- legal fraud
- legal function
- legal gambler
- legal gambling
- legal gap
- legal glossator
- legal government
- legal ground
- legal groundwork
- legal guarantee
- legal guarantees
- legal guardian
- legal guilt
- legal hearing
- legal historian
- legal history
- legal holder
- legal holiday
- legal home
- legal humanism
- legal hypothesis
- legal identity
- legal immigration
- legal immunity
- legal implementation
- legal implication
- legal implications
- legal impossibility
- legal incapacity
- legal incident
- legal income
- legal incompetence
- legal information
- legal injury
- legal innovation
- legal innovation
- legal innovations
- legal insanity
- legal institution
- legal instruction
- legal instrument
- legal intent
- legal interest
- legal interest rate
- legal interpretation
- legal investigation
- legal investigator
- legal irregularity
- legal issue
- legal journal
- legal judge
- legal judgement
- legal judgment
- legal jurisdiction
- legal justice
- legal justification
- legal killer
- legal killing
- legal knowledge
- legal language
- legal liability
- legal lien
- legal limit
- legal limitation
- legal literature
- legal loophole
- legal lynching
- legal malice
- legal malpractice
- legal manufacture
- legal marriage
- legal matter
- legal maxim
- legal means
- legal means of social control
- legal measure
- legal mechanism
- legal medicine
- legal methodology
- legal minimum age of marriage
- legal minimum wage rate
- legal minimum wage rates
- legal minor
- legal monopoly
- legal monument
- legal mortgage
- legal mother
- legal name
- legal nationality
- legal negligence
- legal nihilism
- legal nomenclature
- legal norm
- legal notice
- legal notification
- legal notion
- legal object
- legal objection
- legal objective
- legal obligation
- legal observation method
- legal observer
- legal obstruction
- legal office
- legal office
- legal officer
- legal official
- legal operation
- legal opinion
- legal order
- legal organization
- legal owner
- legal parlance
- legal papers
- legal participation
- legal perjury
- legal permissibility
- legal permission
- legal person
- legal personality
- legal phenomenon
- legal philosopher
- legal philosophy
- legal picketing
- legal platform
- legal play
- legal point
- legal point of view
- legal policy
- legal portion
- legal position
- legal positivism
- legal positivist
- legal possession
- legal power
- legal practice
- legal practitician
- legal practitioner
- legal precept
- legal predecessor
- legal prerequisite
- legal presumption
- legal presumption of death
- legal principle
- legal privilege
- legal problem
- legal procedure
- legal procedure publicity
- legal procedures
- legal proceeding
- legal proceedings
- legal process
- legal profession
- legal profession member
- legal professional
- legal professional privilege
- legal prohibition
- legal proposition
- legal propriety
- legal prosecution
- legal protectee
- legal protection
- legal protection of software
- legal provision
- legal psychiatry
- legal purism
- legal purist
- legal qualification
- legal question
- legal rationale
- legal realism
- legal reality
- legal reasoning
- legal recognition
- legal recourse
- legal redress
- legal reference
- legal reform
- legal reformer
- legal regime
- legal regulation
- legal rehabilitation
- legal rehabilitation
- legal relations
- legal relationship
- legal relationships
- legal relative
- legal relativism
- legal relevance
- legal relief
- legal remedy
- legal representation
- legal representative
- legal reputation
- legal requirement
- legal reservation
- legal reserve
- legal residence
- legal resolution
- legal restraint
- legal restriction
- legal right-enforcing
- legal right
- legal rights
- legal risk
- legal rule
- legal safeguard
- legal safety
- legal sanction
- legal scholar
- legal science
- legal scientist
- legal search
- legal secretary
- legal security
- legal self-help
- legal sense
- legal sentence
- legal sentencing
- legal separation
- legal service
- legal services
- legal significance
- legal source
- legal specialist
- legal speech
- legal sphere
- legal spokesman
- legal spouse
- legal staff
- legal standard
- legal state
- legal statement
- legal statistics
- legal status
- legal status of a person
- legal step
- legal storage period
- legal strike
- legal structure
- legal studies
- legal subbranch
- legal sub-branch
- legal subject
- legal subjectivity
- legal submission
- legal subrogation
- legal succession
- legal successor
- legal suit
- legal system
- legal tapping
- legal technicality
- legal technician
- legal technique
- legal techniques
- legal tender
- legal tender note
- legal term
- legal termination
- legal termination of marriage
- legal territory
- legal test
- legal text
- legal theorist
- legal theory
- legal thinker
- legal thinking
- legal thought
- legal title
- legal tool
- legal topic
- legal tradition
- legal training
- legal transaction
- legal treasury note
- legal treatise
- legal treatment
- legal trial
- legal ubiquity
- legal uncertainty
- legal unit
- legal usage
- legal vacuum
- legal validity
- legal venue
- legal view
- legal viewpoint
- legal violence
- legal volition
- legal voter
- legal waiver
- legal wife
- legal wiretap
- legal wiretapping
- legal wording
- legal work
- legal writer
- legal writing
- legal wrong
- legal year -
10 language
язык || языковой- action description language
- actual machine language
- agent programming language
- AI language
- Algol-like language
- algorithmical language
- algorithmic language
- application-oriented language
- applicative language
- artificial language
- assembler language
- assembly language
- assembly-output language
- assignment-free language
- behavioral language
- bidirectional language
- block-structured language
- Boolean-based language
- business definition language
- business-oriented language
- calculus-type language
- C-based language
- client-side language
- code language
- command language
- compiled language
- compiler language
- component definition language
- composite language
- computer language
- computer-dependent language
- computer-independent language
- computer-oriented language
- computer-programming language
- computer-sensitive language
- consensus language
- context-free language
- control language
- conversational language
- core language
- data definition language
- data description language
- data language
- data manipulation language
- data storage description language
- database language
- data-entry language
- data-flow language
- data-query language
- declarative language
- defining language
- descriptive language
- descriptor language
- design language
- device media control language
- direct execution language
- directly interpretable language
- Dyck language
- end-user language
- escape language
- evolutive language
- executive-control language
- executive language
- explicit language
- extensible language
- fabricated language
- finite state language
- flow language
- foreign language
- formalized language
- frame-based language
- freestanding language
- functional language
- generated language
- graphics language
- graph-oriented language
- hardware-description language
- hardware language
- higher-level language
- higher-order language
- host language
- human language
- human-oriented language
- human-readable language
- indexed language
- information retrieval language
- informational language
- information language
- inherently ambiguous language
- input language
- input/output language
- instruction language
- integrated language
- interactive language
- interim language
- intermediate language
- internal language
- interpreted language
- job control language
- job-oriented language
- knowledge representation language
- language pair
- letter-equivalent languages
- linear language
- linear-programming language
- list-processing language
- logic-type language
- low-level language
- machine language
- machine-dependent language
- machine-independent language
- machine-oriented language
- macroassembly language
- macro language
- macroinstruction language
- macroprogramming language
- man-to-computer language
- mathematical formular language
- memory management language
- mnemonic language
- modeling language
- native language
- natural language
- NC programming language
- nested language
- network-oriented language
- nonprocedural language
- numder language
- object language
- object modeling language
- object-oriented language
- one-dimensional language
- operator-oriented language
- original language
- page description language
- parallel language
- phrase structure language
- predicate language
- predicate logic-based language
- predicate logic language
- privacy language
- problem statement language
- problem-oriented language
- procedural language
- procedure-oriented language
- process control language
- production language
- program language
- programming language
- pseudo language
- pseudomachine language
- query language
- readable specification language
- reference language
- regular language
- relational language
- relational-type language
- representation language - requirements modeling language
- restricted language
- rule-based language
- ruly language
- schema language
- science-oriented language
- script language
- self-contained language
- semantic-formal language
- semiformal language
- sentential language
- serial language
- simulation language
- single-assignment language
- source language
- specialized language
- specification language
- stream-based language
- strict language
- structured programming language
- structured query language
- super language
- super-high-level language
- symbolic language
- symbolic programming language
- syntax language
- synthetic language
- system input language
- system language
- system-oriented language
- tabular language
- target language
- TC language
- time sharing language
- type-free language
- unified modeling language
- update language
- user language
- user-oriented language
- very-high-level languageEnglish-Russian dictionary of computer science and programming > language
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11 multitasking
1) многозадачность, многозадачная работа, многозадачный режимспособность ОС поддерживать псевдопараллельное (с чередованием через короткие интервалы времени) выполнение двух или более задач (сегментов программы). В соответствии с этим ОС делятся на многозадачные (например, Linux) и однозадачные (MS-DOS).With multitasking, the scheduler divides time into execution units called system ticks. — Планировщик многозадачного режима делит время исполнения на единицы, называемые системными интервалами
Syn:Англо-русский толковый словарь терминов и сокращений по ВТ, Интернету и программированию. > multitasking
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12 time
1) время, период (промежуток) временисм. тж. absolute time, acceleration time, access time, add time, arrival time, bit time, boot time, build time, communication time, completion time, context-switch time, cycle time, dead time, delay time, discrete time, download time, execution time, face time, fall time, fetch time, hit time, holding time, response time, run time, sampling time, search time, seek time, settling time, slot time, start time, system time, thread time, time bomb, time interval, time stamp, time zone2) длительность, продолжительность, срок3) момент времени, точка во временисм. тж. decision time4) назначать время; составлять расписание, график; планировать время, рассчитывать [по времени]5) временнойАнгло-русский толковый словарь терминов и сокращений по ВТ, Интернету и программированию. > time
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13 Computer Metaphors
Within the AI community there is a growing dissatisfaction concerning the adequacy of sequential models to simulate the cognitive processes....For an example of the dissimilarity between computers and nervous systems, consider that in conventional computers... each piece of data [is] located in its own special space in the memory bank [and] can be retrieved only by a central processor that knows the address in the memory bank for each datum. Human memory appears to be organized along entirely different lines. For one thing, from a partial or a degraded stimulus human memory can "reconstruct" the rest, and there are associative relationships among stored pieces of information based on considerations of context rather than on considerations of location.... t now appears doubtful that individual neurons are so specific that they are tuned to respond to a single item and nothing else. Thus, connectionist models tend to devise and use distributed principles, which means that elements may be selective to a range of stimuli and there are no "grandmother cells."...Information storage, it appears, is in some ill-defined sense a function of connectivity among sets of neurons. This implies that there is something fundamentally wrong in understanding the brain's memory on the model of individual symbols stored at unique addresses in a data bank....A further source of misgivings about the computer metaphor concerns real-time constraints. Although the signal velocities in nervous systems are quite slow in comparison to those in computers, brains are nonetheless far, far faster than electronic devices in the execution of their complex tasks. For example, human brains are incomparably faster than any computer in word-nonword recognition tasks. (P. S. Churchland, 1986, pp. 458-459)Historical dictionary of quotations in cognitive science > Computer Metaphors
См. также в других словарях:
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Speculative execution — In computer science, speculative execution is the execution of code, the result of which may not be needed. In the context of functional programming, the term speculative evaluation is used instead.TypesGenerally, statements and definitions in a… … Wikipedia
