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1 data manipulation logic
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2 data manipulation logic
логические схемы манипулирования даннымиБольшой англо-русский и русско-английский словарь > data manipulation logic
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3 data manipulation logic
Вычислительная техника: логика обработки данных, логические схемы манипулирования даннымиУниверсальный англо-русский словарь > data manipulation logic
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4 Data Manipulation Logic
Information technology: DMLУниверсальный русско-английский словарь > Data Manipulation Logic
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5 data manipulation logic
English-Russian dictionary of computer science and programming > data manipulation logic
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6 data manipulation logic
English-Russian information technology > data manipulation logic
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7 logic
1) логика2) логическая часть, логический узел ( ЭВМ)3) логическая схема; логические схемы, логика•- adaptive logic
- address-comparison logic
- address-recognition logic
- address-selection logic
- all-magnetic logic
- all-transistor logic
- arbitration logic
- arithmetic logic
- binary logic
- bipolar logic
- Boolean logic
- carry determination logic
- cellular logic
- circuit logic
- clocked logic
- closed-cell logic
- combinational logic
- combinatorial logic
- combinatory logic
- command decode logic
- comparison logic
- compatible logic
- complementary transistor logic
- complementary transistor-resistor logic
- computer logic
- constructive logic
- control logic
- core logic
- crisp logic
- current injection logic
- current mode logic
- current sinking logic
- current steering logic
- current-hogging logic
- custom logic
- data manipulation logic
- decryption logic
- degating logic
- derivative logic
- designer choice logic
- design-for-test logic
- differential logic
- digit logic
- diode logic
- diode-emitter coupled logic
- diode-transistor logic
- direct-coupled transistor logic
- distributed logic
- double-rail logic
- emitter-emitter-coupled transistor logic
- emitter-coupled transistor logic
- emitter-emitter-coupled logic
- emitter-coupled logic
- emitter-follower logic
- epistemic logic
- error-checking logic
- failure detection logic
- fault-masking logic
- feature logic
- field-programmable logic
- fluid logic
- formal logic
- fuzzy logic
- glue logic
- hardwired logic
- high-noise-immunity logic
- high-threshold logic
- Hoare logic
- incremental logic
- inferencial logic
- injection-coupled logic
- instruction logic
- integrated injection logic
- interface logic
- interrupt logic
- irregular logic
- Josephson junction logic
- kindred logic
- ladder logic
- level logic
- linearly independent logic
- locked-pair logic
- logic under test
- low level logic
- machine logic
- magneto-optical logic
- majority-vote logic
- majority logic
- many-valued logic
- mathematical logic
- merged logic
- merged-transistor logic
- microprogrammed logic
- microwatt logic
- microwave logic
- modal logic
- modified diode-transistor logic
- morphic logic
- multiple-valued logic
- multi-valued logic
- multiaperture device logic
- multihpase pulse logic
- nanosecond logic
- negative logic
- N-level logic
- nonmonotonic logic
- N-out-of-M logic
- N-valued logic
- on-board logic
- on-chip control logic
- optoelectronic logic
- out-of-order issue logic
- paging logic
- parametron logic
- path programmable logic
- per-bit logic
- philosophical logic
- positive logic
- possibilistic logic
- probabilistic logic
- processing logic
- programmable array logic
- programmable logic
- programmed logic
- quadded logic
- random logic
- random sequential logic
- recovery logic
- reference logic
- regular logic
- relay logic
- relevance logic
- resistor-capacitor-transistor logic
- resistor-coupled transistor logic
- resistor-diode-transistor logic
- resistor-transistor logic
- ripple-carry logic
- save-carry logic
- Schottky transistor-transistor logic
- sector-buffering logic
- self-checking logic
- self-timed logic
- sequential logic
- single-phase pulse logic
- single-sorted logic
- solid-state logic
- stored logic
- structured logic
- switching logic
- symbolic logic
- temporal logic
- ternary logic
- test logic
- three-level logic
- three-state logic
- three-value logic
- threshold logic
- timed-access logic
- timing logic
- transaction logic
- transister logic
- transistor-coupled logic
- transistor-diode logic
- transistor-resistor logic
- transistor-transistor logic
- tri-state logic
- tube-and-diode logic
- tunnel-diode logic
- two-valued logic
- unconditional logic
- user-definable logic
- variable logic
- variable threshold logic
- vertical injection logic
- wired logic
- wired-OR, wired-AND logic
- word logicEnglish-Russian dictionary of computer science and programming > logic
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8 логические схемы манипулирования данными
спецификация данных; определение данных — data specification
совокупность данных; данные объединенные в пул — pooled data
Русско-английский большой базовый словарь > логические схемы манипулирования данными
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9 DML
1) Компьютерная техника: Domain Modeling Language2) Американизм: Democratic Majority Leader3) Спорт: Da Minor Leagues4) Военный термин: demolition, depot maintenance level, dual-mode laser6) Сокращение: Decision & Modelling Language, Devonport Management Ltd (UK)7) Электроника: Distributed Mode Loudspeaker8) Вычислительная техника: Data Manipulation Logic, data manipulation language, язык манипуляций с данными, Distributed Mode Loudspeaker (Audio), data manipulation language10) Фирменный знак: Dragon Models Limited11) SAP.тех. язык манипулирования данными12) НАСА: Direct Memory Load, Display Message Log -
10 логика обработки данных
1) Information technology: data manipulation logic2) Programming: database logic (напр., в распределенных БД - это часть кода приложения, которая связана с обработкой данных внутри приложения)Универсальный русско-английский словарь > логика обработки данных
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11 логические схемы манипулирования данными
Information technology: data manipulation logicУниверсальный русско-английский словарь > логические схемы манипулирования данными
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12 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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13 language
1) языка) естественный язык, средство человеческого общенияб) система знаков, жестов или сигналов для передачи или хранения информациив) стильг) речь2) языкознание, лингвистика•- actor language
- agent communication language
- a-hardware programming language - application-oriented language
- applicative language
- a-programming language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language - business-oriented programming language
- categorical language - configuration language
- constraint language
- combined programming language
- command language
- common language
- common business-oriented language
- compiled language
- compiler language
- computer language
- computer-dependent language - computer-oriented language
- computer-sensitive language
- concurrent language - context- sensitive language
- conversational language
- coordinate language
- database language
- database query language - data structure language
- digital system design language
- declarative language
- declarative markup language
- definitional language
- definitional constraint language
- design language
- device media control language - dynamically scoped language - elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible language - formalized language - functional language
- functional programming language - graph-oriented language - high-order language
- host language - hypersymbol language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language - interpreted language - Java programming language - lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language - meta language
- mnemonic language
- musical language - native-mode language
- natural language - nonprocedural language
- object language
- object-oriented language - physical language
- picture query language
- portable language
- portable standard language
- polymorphic language - print control language
- problem-oriented language
- problem statement language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robot-level language
- robotic control language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language - sign language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification language - stratified language
- stream language
- string-handling language - strongly-typed language - symbolic language - thing language - tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language - well-structured programming language -
14 language
1) языка) естественный язык, средство человеческого общенияб) система знаков, жестов или сигналов для передачи или хранения информациив) стильг) речь2) языкознание, лингвистика•- a programming language
- abstract machine language
- actor language
- agent communication language
- algebraic logic functional language
- algorithmic language
- amorhic language
- application-oriented language
- applicative language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language
- axiomatic architecture description language
- basic combined programming language
- block-structured language
- boundary scan description language
- business-oriented language
- business-oriented programming language
- categorical abstract machine language
- categorical language
- cellular language
- combined programming language
- command language
- common business-oriented language
- common language
- compiled language
- compiler language
- computer hardware description language
- computer language
- computer-dependent language
- computer-independent language
- computer-oriented language
- computer-sensitive language
- concurrent language
- configuration language
- constraint language
- context-free language
- context-sensitive language
- conversational language
- coordinate language
- data definition language
- data description language
- data manipulation language
- data structure language
- database language
- database query language
- declarative language
- declarative markup language
- definitional constraint language
- definitional language
- design language
- device media control language
- digital system design language
- document style semantics and specification language
- domain-specific language
- dynamic hypertext markup language
- dynamic simulation language
- dynamically scoped language
- elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible hypertext markup language
- extensible language
- extensible markup language
- fabricated language
- fifth-generation language
- first-generation language
- formal language
- formalized language
- fourth-generation language
- frame language
- function graph language
- functional language
- functional programming language
- geometrical layout description language
- graphics language
- graph-oriented language
- hardware description language
- Hewlett-Packard graphics language
- Hewlett-Packard printer control language
- high-level language
- high-order language
- host language
- hypersymbol language
- hypertext markup language plus
- hypertext markup language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language
- interactive set language
- intermediate language
- interpreted language
- Java interface definition language
- Java language
- Java programming language
- job control language
- Jules' own version of the international algorithmic language
- knowledge query and manipulation language
- left-associative language
- lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language
- man-machine language
- mathematical markup language
- matrix-based programming language
- meta language
- mnemonic language
- musical language
- my favorite toy language
- native language
- native-mode language
- natural language
- network control language
- network description language
- noninteractive language
- nonprocedural language
- object language
- object-oriented language
- page description language
- parallel object-oriented language
- partial differential equation language
- pattern-matching language
- physical language
- picture query language
- polymorphic language
- portable language
- portable standard language
- practical extraction and report language
- prescriptive language
- print control language
- problem statement language
- problem-oriented language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robotic control language
- robot-level language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language
- second-generation language
- sense language
- server-parsed hypertext markup language
- set language
- sign language
- simulation language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification and assertion language
- specification language
- stack-based language
- standard generalized markup language
- statically scoped language
- stratified language
- stream language
- string-handling language
- string-oriented symbolic language
- string-processing language
- strongly-typed language
- structural design language
- structured query language
- subset language
- symbolic language
- symbolic layout description language
- synchronized multimedia integration language
- target language
- thing language
- third-generation language
- threaded language
- tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language
- very-high-speed integrated circuit hardware description language
- Vienna definition language
- virtual reality modeling language
- visual language
- well-structured programming language
- wireless markup languageThe New English-Russian Dictionary of Radio-electronics > language
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15 language
1) язык || языковой2) машинный язык; набор символов ( машины)•- application-oriented language
- applicative language
- APT programming language
- APT-based language
- artificial language
- assembler language
- assembly language
- block diagram language
- calculus language
- classificatory indexing language
- command language
- communication-information language
- computer language
- context-free language
- context-sensitive language
- control language
- controlled language
- conversational programming language
- data definition language
- data description language
- data general language
- data general programming language
- data manipulation language
- data retrieval language
- data storage description language
- database control language
- database language
- database programming language
- definition language
- description indexing language
- description language
- descriptor indexing language
- DGL interpretative programming language
- documentary language
- domain-dependent language
- domain-independent language
- extended language
- extensible language
- formal language
- formalized language
- general-purpose language
- generic language
- geometry technology language
- global programming language
- graphics picture drawing language
- high-level language
- highly coded language
- hybrid language
- implementation language
- index retrieval language
- indexing language
- information language
- information processing language
- information retrieval language
- informational language
- information-algorithmic language
- interactive language
- interactive reader language
- intermediary language
- intermediate language
- interpretive language
- interrogation language
- ISO language
- job command language
- job control language
- language of science
- logical-information language
- machine control language
- machine language
- machinist's language
- manipulator-oriented language
- manufacturing application language
- meaning-representation language
- meta language
- native language
- natural language
- NC programming language
- numerical command language
- object description language
- object-oriented language
- operational performance analysis language
- plain language
- powerful programming language
- predicate calculus language
- predicate language
- predicate logic language
- problem-oriented language
- procedural language
- processing language
- process-oriented language
- production language
- production-rule language
- program language
- programming language
- query input language
- query language
- representation language
- retrieval language
- robotics language
- robot-programming language
- robot-specialized language
- rule-based programming language
- shop-oriented language
- Siman simulation language
- simulation language
- source language
- special interface programming language
- specification language
- state language
- structured query language
- switching language
- task description language
- task level language
- task-oriented language
- uncontrolled language
- very high level languageEnglish-Russian dictionary of mechanical engineering and automation > language
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16 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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17 instruction
2) инструкция; программа действий3) обучение•- accumulator shift instruction
- actual instruction
- address modification instruction
- addressless instruction
- alphanumeric instruction
- alphameric instruction
- arithmetical instruction
- arithmetic instruction
- assignment instruction
- autocode instruction
- autoindexed instruction
- basic instruction
- bit-manipulation instruction
- blank instruction
- block-move instruction
- branching instruction
- branch instruction
- branching-programmed instruction
- branch-on-zero instruction
- breakpoint instruction
- broadcast instruction
- byte instruction
- call instruction
- card read instruction
- character-oriented instruction
- clear and add instruction
- clear store instruction
- clearing instruction
- compare instruction
- comparison instruction
- complete instruction
- compound instruction
- computer instruction
- computer-aided instruction
- computer-assisted instruction
- conditional assembly instruction
- conditional branch instruction
- conditional breakpoint instruction
- conditional instruction
- conditional jump instruction
- conditional stop instruction
- conditional transfer instruction
- conflicting instructions
- constant instruction
- consumer instruction
- control instruction
- control transfer instruction
- convert instruction
- current instruction
- data movement instruction
- data transfer instruction
- decimal instruction
- decision instruction
- declarative instruction
- decoded instruction
- diagnose instruction
- direct access instruction
- direct instruction
- discarded instruction
- discrimination instruction
- display instruction
- do-nothing instruction
- double-precision instruction
- dual-issued instructions
- dummy instruction
- edit instruction
- effective instruction
- engineering instruction
- entry instruction
- exchange instruction
- executive instruction
- external devices instruction
- extracode instruction
- extract instruction
- floating-point instruction
- follow the instructions carefully
- format instruction
- four-address instruction
- full-word instruction
- general instruction
- half-word instruction
- halt instruction
- housekeeping instruction
- idle instruction
- ignore instruction
- illegal instruction
- immediate address instruction
- immediate instruction
- imperative instruction
- indirect instruction
- input/output instruction
- inquiry input/output instruction
- integer instruction
- internal manipulation instruction
- interpretive instruction
- interrupt instruction
- interruptable instruction
- invitation instruction
- invite instruction
- iterative instruction
- jump instruction
- jump to subroutine instruction
- keyboard instruction
- linear programmed instruction
- link instruction
- linkage macro instruction
- load index register instruction
- load repeat counter instruction
- logical instruction
- logic instruction
- look-up instruction
- machine code instruction
- machine instruction
- machine language instruction
- macro instruction
- macroexpansion instruction
- macroprocessing instruction
- maintenance instruction
- math instruction
- memory load instruction
- memory protect privileged instruction
- memory-reference instruction
- micro instruction
- microprogrammable instruction
- mnemonic instruction
- modified instruction
- monadic instruction
- monitor call instruction
- motion video instruction
- move instruction
- MQ register sign jump instruction
- MQ sign jump instruction
- multiaddress instruction
- multilplying instruction
- multiple-address instruction
- multiple instruction
- multiple-cycle instruction
- multiple-length instruction
- multiplier-quotient register sign jump instruction
- multiplier-quotient sign jump instruction
- multiply-accumulate instruction
- N-address instruction
- native instruction
- noaddress instruction
- nonmemory-reference instruction
- nonprint instruction
- nonprivileged instruction
- non-speculative instruction
- no-op instruction
- no-operation instruction
- normalized instruction
- normalize instruction
- N-plus-one address instruction
- null instruction
- object instruction
- on-chip instruction
- one-address instruction
- one-and-a-half-address instruction
- one-over-one address instruction
- one-plus-one address instruction
- on-screen instruction
- operational-address instruction
- operation-address instruction
- optional halt instruction
- optional pause instruction
- optional stop instruction
- organizational instruction
- overflow jump instruction
- overriding instruction
- pause instruction
- picture-description instruction
- preempted instruction
- presumptive instruction
- prewired instruction
- privileged instruction
- producer instruction
- programmed instruction
- propagation instruction
- pseudo instruction
- quadruple address instruction
- quasi instruction
- reading instruction
- read instruction
- red-tape instruction
- reference instruction
- register-to-register instruction
- relative instruction
- repeat instruction
- repetition instruction
- restart instruction
- return instruction
- right shift instruction
- rotate instruction
- roundoff instruction
- scalar instruction
- search instruction
- seek instruction
- shift instruction
- shift-jump instruction
- short instruction
- single-address instruction
- single-cycle instruction
- single-operand instruction
- skeleton instruction
- skip instruction
- source-designation instruction
- source-destination instruction
- stack instruction
- steering instruction
- stop instruction
- string instruction
- summarize instruction
- supervisor call instruction
- symbolic instruction
- table look-up instruction
- tape instruction
- text-entry instruction
- three-address instruction
- three-plus-one-address instruction
- transfer instruction
- transfer of control instruction
- trap instruction
- try instruction
- two-address instruction
- two-plus-one-address instruction
- unconditional branch instruction
- unconditional control transfer instruction
- unconditional jump instruction
- unconditional transfer instruction
- unmodified instruction
- unretired instruction
- variable instruction
- variable length instruction
- variable-cycle instruction
- vector-processing instruction
- vector instruction
- verbal instruction
- waste instruction
- write instruction
- zero-address instruction
- zeroing instruction
- zero-suppress instructionEnglish-Russian dictionary of computer science and programming > instruction
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18 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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