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41 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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42 program
программа, см. тж application || программироватьa program is too big to fit in memory — программа не умещается в отведённой памяти ( машинное сообщение)
- program in- absolute program
- accessory program
- active program
- administration program
- application program
- A-program
- archive program
- assembler program
- assembler-program
- assembly language program
- assembly program
- automatic recovery program
- background program
- benchmark program
- binary program
- blue-ribbon program
- bootstrap program
- brittle program
- C++ program
- C++-program
- called program
- calling program
- cataloged program
- chain additions program
- chain maintenance program
- channel program
- check program
- checking program
- common program
- communication program
- compaction program
- compiled object program
- compiler program
- compiling program
- complete program
- compressor program
- computer program
- concordance program
- concurrent program
- concurrently running programs
- concurrent-scheduling supervisor program
- condensing program
- configuration program
- consulting program
- control program
- conversational program
- conversion program
- copy-protected program
- copyrighted program
- core-resident program
- correct program
- crash-proof program
- curve-fitting program
- data abstraction program
- data access program
- data flow program
- data set utility program
- data-vet program
- debugging program
- decision program
- development program
- diagnosis program
- diagnostic program
- digital simulation program
- disk-resident program
- editor program
- embedded program
- emulator program
- epistemic logic program
- executable program
- executive program
- exerciser program
- externally stored program
- fail-recognition program
- fault-diagnosis program
- fault-location program
- fine-grained program
- fixed program
- foreground program
- format program
- FORTRAN program
- FORTRAN-program
- fragmented programs
- free-standing program
- function program
- gap filling program
- general-purpose program
- generating program
- generator program
- graphic display program
- hardware program
- hardware-maintenance program
- help program
- heuristic program
- high frequency program
- high volume program
- host program
- illustrative program
- impenetrable program
- inactive program
- independent program
- initial input program
- initial loading program
- in-line program
- integer program
- interactive program
- interconsole message program
- internally stored program
- interpreter program
- interpretive program
- introspective program
- job control program
- job program
- knowledge-based program
- language-understanding program
- learning program
- librarian program
- library program
- license program
- linear program
- link-edited program
- load program
- load-and-go program
- loading program
- logical program
- logical relational program
- machine language program
- machine program
- macroassembly program
- macrogenerating program
- mail program
- main program
- manager program
- manufacturer programs
- map program
- mask-level digitization program
- master program
- mathematical program
- menu-driven program
- message control program
- message processing program
- micromodular program
- minimal access program
- minimum access program
- minimum latency program
- modular-sized program
- monitor program
- monitoring program
- monolithic program
- multisupplier program
- mutated program
- network control program
- networking program
- nonexpansible program
- nonprocedural program
- nucleus initialization program
- object program
- operating program
- optimally coded program
- overlay program
- overlays program
- packaged program
- paint program
- panel program
- PASCAL program
- PASCAL-program
- patched program
- placement program
- plugged program
- polling program
- pop-up program
- portable program
- position-independent program
- postedit program
- postmortem program
- precanned program
- precompiler program
- pre-edit program
- prewired program
- prime program program
- printed program
- print-intensive program
- problem-state program
- problem program
- procedural program
- processing program
- production program
- program for Windows
- program in assembler
- program in C++
- program in FORTRAN
- program in PASCAL
- proper program
- prototype program
- pseudoapplication program
- punched tape program
- read-in program
- real-world program
- reduction program
- reenterable program
- reentrant program
- relocatable program
- report program
- resident program
- restructuring program
- reusable program
- robot program
- robust program
- routine program
- routing program
- running program
- runtime program
- salvation program
- sample program
- scrutinous program
- segmented program
- self-adapting program
- self-contained program
- self-diagnostic program
- self-modification program
- self-modifying program
- self-monitoring program
- self-organizing program
- self-relocatable program
- self-relocating program
- self-resetting program
- self-test program
- self-triggering program
- sequence-scheduling supervisor program
- service program
- shareable program
- shell program
- simulation program
- slave program
- snapshot dump program
- snapshot trace program
- software program
- sort program
- sort/merge program
- sorting program
- source language program
- source program
- spaghetti program
- specific program
- spreadsheet program
- stand-alone program
- standard program
- standby program
- start-up program
- steering program
- stored program
- structured program
- subject program
- superconsistent program
- supervisor program
- supervisory program
- support program
- surface program
- suspended program
- symbolic program
- system program
- systems program
- tape-to-printer program
- teaching program
- test program
- throwaway program
- total-load program
- trace program
- trace-interpretive program
- tracing program
- tracking program
- transaction program
- translating program
- translation program
- translator program
- troubleshooting program
- TSR program
- unmaintable program
- unreadable program
- updated program
- user program
- utility program
- wavelet program
- wired-in programEnglish-Russian dictionary of computer science and programming > program
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43 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 -
44 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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45 base
1) база; основание; станина; фундамент2) база; базовая поверхность, установочная поверхность3) пята; подошва7) базовый, основной•- automation basebase on outriggers — база выносных опор (напр. крана)
- auxiliary base
- base of taper-turning attachment
- base of tooth
- bayonet base
- bearing base
- cabinet base
- center base
- CIM-CAD data base
- column base
- composite base
- computer data base
- contact base
- data base
- design base
- design data base
- distributed data base
- domain knowledge base
- double-guiding base
- double-resting base
- engine base
- fabricated base
- floating base
- geometric data base
- graduated rotary base
- graduated swivel base
- graphics data base
- ground base
- guiding base
- hierarchial data base
- index base
- insulating base
- jig base
- lamp base
- latent base
- lower base
- machine-specific base
- machining data base
- magnetic base
- main base
- measuring base
- mitering base
- motor base
- mounting base
- multisided base
- network data base
- NMS data base
- number base
- number system base
- one-piece cast iron base
- outside base of laser
- part-programming data base
- pedestal base
- polymer-concrete base
- poured-rock base
- practical base
- processing base
- product data base
- production data base
- quality engineering data base
- real base
- relational data base
- resting base
- robot data base
- rocker oscillating base
- rotatable base
- scale base
- servoindexer base
- setting base
- shank base
- slide base
- sliding base
- swinging base
- swiveling base
- table base
- technological base
- test base
- thread base
- time base
- tombstone-style mounting base
- tool data base
- tube base
- valve base
- wheel base
- wing base
- work-clamp base
- work-clamping baseEnglish-Russian dictionary of mechanical engineering and automation > base
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46 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
-
47 language
-
absolute language
-
algorithmical language
-
algorithmic language
-
applicative language
-
artificial language
-
assembler language
-
block-structured language
-
Boolean algebra-based language
-
Boolean based language
-
command language
-
compilative language
-
compiler language
-
computer language
-
computer-dependent language
-
computer-independent language
-
computer-oriented language
-
computer-sensitive language
-
context-free language
-
control language
-
conversational language
-
core language
-
data language
- data manipulation language -
data-base language
-
data-definition language
-
data-query language
-
declarative language
-
deduction-oriented language
-
design language
-
explicit language
-
expression-oriented language
-
extensible language
-
FG-kernel language
-
finite state language
-
formal specification language
-
function language
-
functional language
-
graphics-oriented language
-
graphics language
-
hardware-based language
-
high-level language
-
host language
-
human language
-
human-oriented language
-
hybrid language
-
imperative language
-
input language
-
instruction language
-
interactive language
-
interface language
-
intermediate language
-
interpretive language
-
job control language
-
kernel language
-
knowledge representation language
-
list-processing language
-
low-level language
-
machine language
-
machine-dependent language
-
machine-independent language
-
machine-oriented language
-
macro language
-
meta language
-
mnemonic language
-
narrative language
-
native language
-
native-mode language
-
natural language
-
NC-AM language
-
network control language
-
nonprocedural language
-
nucleus language
-
object language
-
object-oriented language
-
original language
-
parallel language
-
plain language
-
privacy language
-
problem solving language
-
problem-oriented language
-
procedural language
-
program development language
-
program language
-
programming language
-
pseudo language
-
query language
-
real-time language
-
reference language
-
regular language
-
relational language
-
retrieval language
-
robot language
-
rule language
-
semantic language
-
sentential language
-
simulation language
-
source language
-
specification description language
-
specification language
-
stratified language
-
structured language
-
symbolic language
-
system language
-
system-oriented language
-
target language
-
typed language
-
unstratified language
-
untyped language
-
user-oriented language
-
world-modeling language -
48 network
1) (вычислительная) сеть (см. тж net)2) схема•- activity network
- ad hoc network
- adder network
- adding network
- adjustment network
- analog network
- aperiodic network
- arbitration network
- artificial neuron network
- backbone network
- balancing network
- baseband network
- baseline network
- bearer network
- bilateral network
- bluetooth network
- bluetooth voice network
- bridged-T network
- broadcasting network
- bus network
- business-communications network
- campus network
- carrier band network
- centralized network
- circuit-switched network
- circuit network
- closed network
- code slotted network
- coding network
- collapsed backbone network
- combinatorial network
- communication computers network
- computer network
- concentrator network
- connectionless network
- connection-oriented network
- consistent network
- controller area network
- corrective network
- coupling network
- cube-connected network
- cube network
- cube-connected-cycles network
- daisy chain network
- data bank network
- data communications network
- data transportation network
- datacom network
- data-transmission network
- decentralized network
- decoding network
- delay network
- despotic network
- dial-up network
- digital network
- direct-linked network
- distributed backbone network
- distributed function network
- distributed intelligence network
- distributed network
- distributed processing network
- dual network
- elemental network
- expert network
- facsimile network
- feedforward network
- four-terminal network
- fully connected network
- fuzzy-constraint network
- generalized network
- heterogeneous computer network
- hierarchical computer network
- hierarchical network
- high-bandwidth network
- high-degree network
- high-flux network
- highway network
- home-area network
- homogeneous computer network
- host-based network
- inconsistent network
- information network
- integrated services network
- integrated service network
- intelligent network
- interruption network
- IP-routed network
- irredundant network
- iterated network
- knowledge information network
- ladder network
- large-grained network
- leased line network
- local area network
- local network - lumped network
- matching network
- mesh interconnection network
- mesh network
- meshed network
- metropolitain network
- mixed backbone network
- mixed network- monochannel computer network- monochannel network - multiple-work-station network
- multipoint network - multistation network
- multiterminal network
- nearest neighbour network
- network with gains
- neural network
- n-node-fault testable network
- nonpartitionable network
- nonuniform network
- N-port network
- office network
- one-port network
- packet network
- packet switched network
- partitionable network
- passive network
- pass-through network
- PCS network
- peer-to-peer network
- perceptual network
- personal-computer network
- phase-shifting network
- phase-shift network
- planar network
- point-to-point network
- port-to-port network
- power distribution network
- priority network
- private line network
- process network
- propositional network
- public data network
- public network
- public-swithced network
- pulse-forming network
- queueing network
- radio-access network
- reciprocal network
- recognition network
- regional computer network
- regional network
- resistance network
- resistance-capacitance network
- resource-sharing network
- ring-topology network
- ring network
- satellite meshed network
- semantic network
- service-driven network
- shaping network
- shuffle-exchange network
- single-site network
- social network
- star-type network
- star network
- star-wired network
- Steiner network
- stereotype network
- switched message network
- switched network
- switching network
- systolic network
- teleprocessing network
- teletype network
- terrestrial network
- tightly coupled network
- token-bus-based network
- token-passing network
- transit network
- transition network
- transport network
- two-port network
- two-terminal network
- undirected network
- unilateral network
- value-added network
- virtual call network
- virtual-datagram network
- virtual-transport network
- weighted-resistor network
- well-behaved network
- wide-area network
- wireless networkEnglish-Russian dictionary of computer science and programming > network
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49 I am aware of and consent to the following ...
юр. Я ознакомлен и согласен со следующимI am aware of and consent to the following: any personal data concerning me which appear on this visa application form will be supplied to the relevant authorities in the Schengen states and processed by those authorities, if necessary, for the purposes of a decision on my visa application. Such data may be input into, and stored in, databases accessible to the rele-vant authorities in the various Schengen states. At my express request, the consular authority processing my application will inform me of the manner in which I may exercise my right to check the personal data concerning me and have them altered or deleted, in particular, should they be inaccurate, in accordance with the national law of the state concerned. I declare that to the best of my knowledge all particulars supplied by me are correct and complete. I am aware that any false statements will lead to my application being rejected or to the annulment of a visa already granted and may also render me liable to prosecution under the law of the Schengen state which deals with the application. I undertake to leave the territory of the Schengen states upon the expiry of the visa, if granted. I have been informed that possession of a visa is only one of the prerequisites for entry into the European territory of the Schengen states. The mere fact that a visa has been granted to me does not mean that I will be entitled to compensation if I fail to comply with the relevant provisions of Article 5.1 of the Schengen Implementing Convention and am thus refused entry The prerequisites for entry will be checked again on entry into the European territory of the Schengen states. — Я ознакомлен и согласен со следующим: любые личные данные относительно меня, которые имеются в этом заявлении на визу, будут предоставлены соответствующим властям в Шенгенских государствах и обработаны теми властями, если необходимо, с целью принятия решения относительно моего обращения за визой. Такие данные могут быть внесены в, и сохранены в базе данных, доступной для соответствующих властей в различных Шенгенских государствах. При моем специальном запросе консульские власти, обрабатывающие мое заявление сообщат мне относительно способов, по которым я могу реализовать мое право проверить свои личные данные и изменить их или удалить, в частности, если они будут неточными, в соответствии с национальным законом заинтересованного государства. Я заявляю, что, насколько я могу знать, все подробные сведения, предоставленные мной, правильны и полны. Я знаю, что любые ложные сведения могут привести к отклонению моего заявления или к аннулированию уже предоставленной визы и меня могут также отдать под судебное преследование согласно закону Шенгенского государства, которое имеет дело с моим заявлением. Я обязуюсь оставить территорию Шенгенских государств после истечения срока визы, если таковая будет предоставлена. Я был(а) проинформирован(а), что обладание визой — только одна из предпосылок для въезда на европейскую территорию Шенгенских государств. Простой факт, что виза предоставлена мне, не подразумевает, что я буду иметь право на компенсацию, если я не буду соответствовать необходимым условиям ст. 5.1 Шенгенского Соглашения и таким образом мне будет отказано во въезде. Основания для въезда будут проверены снова при въезде на европейскую территорию Шенгенских государств.
Англо-русский универсальный дополнительный практический переводческий словарь И. Мостицкого > I am aware of and consent to the following ...
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50 material
məˈtɪərɪəl
1. сущ.
1) а) тж. мн. вещество, материал( обык. из которого изготавливается что-л.) ;
сырье sticky material ≈ клейкое вещество explosive materials ≈ взрывчатые вещества radioactive material ≈ радиоактивное вещество raw material ≈ сырье packing material ≈ набивочный материал, уплотняющий материал insulating material materials handling material processing б) существенная, материальная часть( чего-л.) в) мн., ирланд. сырье, ингредиенты (для приготовления пунша, тж. matts) ∙ Syn: matter, substance
2) а) данные, материал, сведения, факты (about, on;
for) promotional materials ≈ рекламные материалы reading materials ≈ материалы для изучения reference material ≈ справочный материал to collect, gather material ≈ собирать данные source material ≈ исходные данные to gather material about the case ≈ собирать информацию об (этом) случае to gather material for a dictionary ≈ собирать материал для словаря material for a biography ≈ биографические материалы material for the next semester ≈ задания на следующий семестр Syn: data, task
1. б) репертуар, программа, материал (песенный и т. п.) a comedian's material ≈ персональная программа (какого-л.комика)
3) текст. материя, ткань( обык. шерстяная, простых видов - например, в противопоставление шелкам и т. п.) Syn: cloth, linen
1.
4) а) мн. принадлежности;
набор инструментов, принадлежностей writing materials б) воен. боеприпасы;
боевая техника( и т. п.) Syn: materiel
5) (обык. с определяющим сущ-м или прил-м в препозиции) проявляющий способности, талантливый( к чему-л.) человек;
собир. кадры( человеческие) officer material ≈ офицерские кадры headmaster material ≈ управленческие кадры This guy is good football material. ≈ У этого парня есть задатки неплохого футболиста. varsity material ≈ разг. студент;
студенчество He's a not bad leadership material. ≈ Из него выйдет неплохой лидер.
2. прил.
1) а) вещественный, материальный material world Syn: physical б) телесный, физический (тж. в противоп. духовному) Ех: material needs ≈ физические потребности material pleasures ≈ радости плоти Syn: bodily, corporeal в) земной, приземленный;
бездуховный, бездушный( с пренебрежительным оттенком - часто в сочeтание с gross) What I saw struck me... as grossly material, not poetically spiritual. (C. Bronte, "Villette"
1853) ≈ Увиденное мною потрясло меня... абсолютной вульгарностью, полной бездуховностью.
2) материальный, имущественный а) (относящийся к материальному миру, не духовный или разумный) material culture ≈ материальная культура( какого-л. народа: совокупность предметов быта, предметов и т. п., созданных, изобретенных, накопленных данным народом) material progress ≈ материальное развитие material well-being, material comforts ≈ материальное благосостояние, материальные блага б) (денежный, финансовый) material losses material damage Syn: financial, pecuniary, economic
3) существенный, важный;
значимый, весомый( для чего-л. to) facts material to the investigation ≈ существенные для следствия факты material witness material evidence material issue Syn: important, pertinent, germane, essential
4) а) филос. материальный (существующий вне сознания и вне зависимости от него) material object, thing ≈ материальный объект, предмет материального мира material objectness ≈ материальное существование material sin ≈ материальный грех( грех, совершенный неосознанно) material righteousness ≈ беспричинная добродетельность б) эмпирический, познаваемый через опыт material knowledge ≈ эмпирическое знание Syn: empirical
5) лог. материальный ( в противопоставление формальному - основанный на содержании, а не на форме) material implication ≈ материальная импликация
6) лингв. вещественный, неисчисляемый (название класса имен существительных) material noun ≈ вещественное существительное (тж. mass noun) материал, вещество - building *s строительные материалы - fissionable *s расщепляющиеся материалы - insulating * изоляционный материал - raw *s сырье - * of construction конструкционный материал - rubber is a widely used * резина широко используется как сырье - *s handling (техническое) обработка материалов (тж. * processing) ;
погрузка-разгрузка сыпучих материалов - *s science материаловедение материал;
кадры - these men are good army * из этих людей выйдут хорошие солдаты - she is good acting * у нее задатки хорошей актрисы - the schools are not producing enough good * школы выпускают недостаточно подготовленных кадров данные, факты, материал - illustrative * иллюстративный материал, примеры - reference * справочный материал, наглядные пособия - to collect * for a literary work собирать материал для художественного произведения - he is looking for * for a TV programme он ищет материал для телевизионной передачи - we have enough * against him мы собрали достаточно материала на него тема - * for thought материал /тема/ для размышлений - to provide * for conversation давать тему для бесед (текстильное) ткань, материя (тж. dress *) - a light * легкая ткань - made of waterproof * сделанный из непромокаемой ткани pl принадлежности - writing *s письменные принадлежности материальный, вещественный - the * world материальный мир - * forces материальные силы телесный, плотский, физический;
материальный (не духовный) - * pleasures плотские /чувственные/ удовольствия /радости/ - to have enough for one's * needs иметь достаточно для удовлетворения своих физических потребностей имущественный, денежный;
материальный, относящийся к средствам существования - * well-being материальное благополучие - * comforts материальные блага - * damage материальный ущерб существенный, важный, значительный - * facts существенные факты - * to smb., smth. существенный, имеющий значение для кого-л., чего-л. - facts which are not * to the point in question факты, не имеющие отношения к разбираемому вопросу - * evidence (юридическое) существенные показания;
вещественные доказательства - * issue (юридическое) существенное возражение - * witness важный свидетель;
свидетель, показания которого имеют существенное значение - he has been of * service to me он оказал мне важную /значительную/ услугу - we must make * changes in our plan нам придется внести существенные /коренные, важные/ изменения в наш план bookkeeping ~ материалы бухгалтерского учета building ~ строительный материал bulk ~ массовый груз collect ~ собирать материал construction ~ строительный материал corporate ~ информационный материал корпорации detailed sales ~ подробные данные о продаже explanatory ~ пояснительный материал handout ~s раздаваемые рабочие документы( в учебном заведении, на конференции) imitation ~ искусственный материал imitation ~ поддельный материал material важный ~ вещественный ~ вещество ~ данные ~ денежный ~ значительный ~ имущественный, денежный;
material losses финансовые потери;
убытки ~ имущественный ~ материал;
вещество ~ материал ~ материальный;
вещественный;
material world материальный мир ~ материальный ~ текст. материя ~ относящийся к средствам существования ~ pl принадлежности;
writing materials письменные принадлежности ~ принадлежности ~ статистический материал ~ существенный, важный;
material witness юр. важный свидетель ~ существенный, важный ~ существенный ~ телесный, физический (в противоп. духовному) ;
material needs физические потребности ~ факты, данные, материал ~ имущественный, денежный;
material losses финансовые потери;
убытки ~ телесный, физический (в противоп. духовному) ;
material needs физические потребности ~ существенный, важный;
material witness юр. важный свидетель ~ материальный;
вещественный;
material world материальный мир raw ~ исходный материал raw ~ сырье raw ~ сырьевой материал raw: ~ необработанный;
raw material (или stuff) сырье;
raw brick необожженный кирпич uniaxial ~ вчт. одноосный материал work ~ сырье ~ pl принадлежности;
writing materials письменные принадлежностиБольшой англо-русский и русско-английский словарь > material
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51 information
information [‚ɪnfə'meɪʃən]∎ a piece or bit of information un renseignement, une information;∎ if my information is correct si mes informations sont exactes;∎ do you have any information on or about the new model? avez-vous des renseignements concernant ou sur le nouveau modèle?;∎ I'd like some information about train times je voudrais des renseignements sur les horaires des trains;∎ for more information, call this number pour plus de renseignements ou de précisions, appelez ce numéro;∎ I am sending you this brochure for your information je vous envoie cette brochure à titre d'information;∎ for your information, I'm not stupid sachez que je ne suis pas complètement idiot;∎ for your information, I've done the dishes for the past week! je t'apprendrai que j'ai fait la vaisselle toute cette semaine!;∎ his head is full of useless information il encombre sa mémoire de choses inutiles;∎ the government is operating an information blackout le gouvernement fait de la rétention d'information(b) (communication) information f;∎ they discussed the importance of information in our time ils ont parlé de l'importance de l'information à notre époque;∎ information overload surinformation f(c) (UNCOUNT) (knowledge) connaissances fpl;∎ her information on the subject is unequalled elle connaît ce sujet mieux que personne;∎ Administration for your information, please find enclosed... à titre d'information, vous trouverez ci-joint...;∎ for your information, it happened in 1938 je vous signale que cela s'est passé en 1938∎ the transmission of genetic information la transmission de l'information génétique(e) (UNCOUNT) (service, department) (service m des) renseignements mpl;∎ ask at the information desk adressez-vous aux renseignements∎ to call information appeler les renseignements∎ to lay an information against sb déposer une plainte contre qn►► British information bureau bureau m or service m des renseignements;information carrier support m d'information;information copy (of document) copie f pour information;information desk (in hotel etc) bureau m des renseignements;information gathering collecte f d'informations;Computing information highway autoroute f de l'information, French Canadian inforoute f;information market marché m des informations;information office bureau m ou service m des renseignements;information officer (press officer) responsable mf de la communication; (archivist) documentaliste mf;information pack dossier m d'information;information processing error erreur f dans le traitement de l'information;information retrieval recherche f documentaire; Computing recherche f d'information;Computing information science science f de l'information;Computing information scientist informaticien(enne) m,f;information sheet fiche f explicative;Computing information society société f de l'information;information storage mémorisation f des informations;information system système m informatique;Computing information superhighway autoroute f de l'information, French Canadian inforoute f;Computing information technology technologie f de l'information, informatique f;information theory théorie f de l'informationUn panorama unique de l'anglais et du français > information
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52 worker
сущ.1)а) общ. работник, рабочий, исполнитель (выполняющий работу; занятый трудом, работой)municipal worker — муниципальный служащий, работник органов местного самоуправления
clerical worker — конторский [канцелярский\] служащий
day shift worker, day worker — дневной работник, работник дневной смены; сотрудник, работающий в дневную смену
night shift worker, night worker — ночной работник, работник ночной смены; сотрудник, работающий в ночную смену
Syn:See:atypical worker, black-coated worker, by-worker, caseworker, casual worker, child care workers, civilian workers, clerical workers, contingent worker, coworker, co-worker, data entry worker, discouraged worker, displaced worker, experienced worker, extension worker, family worker, farmworker 1), fellow worker, field worker, fixed-term contract worker, floorworker, full-time worker, gainful worker, gaming cage workers, gaming services workers, handicapped worker, home worker, homeworker, home-worker, human services worker, indentured worker 1), independent worker, indirect worker, inexperienced worker, key worker, keyworker, knowledge worker, knowledge-worker, law enforcement workers, leased worker, legal support workers, marginal worker, media and communication workers, minority worker, multiskilled worker, nonmanual worker, non-manual worker, non-worker, office worker, on-call worker, outworker, out-worker, parking enforcement workers, part-time worker, permanent worker, personal appearance workers, pink-collar worker, postal service workers, professional worker, public worker, radio worker, recreation workers, regular worker, religious workers, retail sales workers, salary worker, sales worker, service worker, sheltered worker, short-time worker, social service worker, social worker, social workers, structured task worker, teleworker, temp worker, temporary worker, typical worker, utility worker, wage worker, wageworker, wage-worker, white collar worker, white-collar worker, Workfare worker, involvement of workers, worker buy-out, worker director, worker dislocation, worker displacement, worker mobility, worker representation, workers' coverage, workers' involvement, workers' participation, workers' remittances, Convention (No. 100) concerning Equal Remuneration for Men and Women Workers for Work of Equal Value, Standard Occupational Classification System, World Federation of Scientific Workersб) общ. работник, рабочий; сотрудник (работники, осуществляющие функции преимущественно физического труда, непосредственно занятые в процессе создания материальных ценностей, поддержания в рабочем состоянии машин и механизмов, производственных помещений и пр.)agricultural worker — сельскохозяйственный рабочий, рабочий на ферме
industrial worker — промышленный рабочий, рабочий промышленности
worker in industry — промышленный рабочий, рабочий промышленности
farm worker — сельскохозяйственный рабочий, рабочий на ферме
assembly ( line) worker — рабочий на конвейере, сборщик на конвейере
trained worker — квалифицированный [обученный\] рабочий
transport worker — транспортный работник, работник транспорта
Syn:See:accident-prone worker, affluent worker, aggregate worker, agricultural workers, air transportation workers, assimilated worker, auto worker, autoworker, bindery workers, blue collar worker, blue-collar worker, building cleaning workers, core worker, cutting workers, deferential worker, direct worker, electrical worker, Extraction Workers, face worker, farm family worker, farmworker 2), food preparation workers, food processing workers, foreign worker, funeral service workers, general worker, guest worker, immigrant worker, indentured worker 2), itinerant worker, livestock worker, logging workers, manual worker, maritime worker, material moving workers, metal workers and plastic workers, migrant worker, migratory worker, odd-job worker, painting workers, periphery worker, pest control workers, photographic process workers, piece worker, piece-rate worker, pieceworker, piece-worker, print worker, printing workers, process worker, production worker, productive worker, rail transportation workers, relief worker, seasonal worker, shift worker, shiftworker, shock-worker, steel worker, steel-collar worker, steelworker, task worker, transportation workers, unskilled worker, water transportation workers, woodworker, class of workers, movement of workers, worker injury, worker-hour, workers' comp, workers' compensation, workers' condition, workers' control, workers' cooperative, workers' state COMBS: added worker effect, least preferred co-worker scale, Community Charter of the fundamental social rights of workers, Convention (No. 135) concerning Protection and Facilities to be Afforded to Workers' Representatives in the Undertaking, Sheet Metal Workers Local 28 v. EFOC, Standard Occupational Classification System, United Steel Workers of America v. Weber, Workers' Comp Law, Workers' Compensation Law,2) с.-х., биол. рабочий, работник; рабочее насекомое (о социальных насекомых, напр. муравьях, пчелах, термитах и др., как правило, стерильные особи, выполняющие большую часть работы по постройке жилища, его охране, заботе о потомстве и т.п.) -
53 Grammar
I think that the failure to offer a precise account of the notion "grammar" is not just a superficial defect in linguistic theory that can be remedied by adding one more definition. It seems to me that until this notion is clarified, no part of linguistic theory can achieve anything like a satisfactory development.... I have been discussing a grammar of a particular language here as analogous to a particular scientific theory, dealing with its subject matter (the set of sentences of this language) much as embryology or physics deals with its subject matter. (Chomsky, 1964, p. 213)Obviously, every speaker of a language has mastered and internalized a generative grammar that expresses his knowledge of his language. This is not to say that he is aware of the rules of grammar or even that he can become aware of them, or that his statements about his intuitive knowledge of his language are necessarily accurate. (Chomsky, 1965, p. 8)Much effort has been devoted to showing that the class of possible transformations can be substantially reduced without loss of descriptive power through the discovery of quite general conditions that all such rules and the representations they operate on and form must meet.... [The] transformational rules, at least for a substantial core grammar, can be reduced to the single rule, "Move alpha" (that is, "move any category anywhere"). (Mehler, Walker & Garrett, 1982, p. 21)4) The Relationship of Transformational Grammar to Semantics and to Human Performancehe implications of assuming a semantic memory for what we might call "generative psycholinguistics" are: that dichotomous judgments of semantic well-formedness versus anomaly are not essential or inherent to language performance; that the transformational component of a grammar is the part most relevant to performance models; that a generative grammar's role should be viewed as restricted to language production, whereas sentence understanding should be treated as a problem of extracting a cognitive representation of a text's message; that until some theoretical notion of cognitive representation is incorporated into linguistic conceptions, they are unlikely to provide either powerful language-processing programs or psychologically relevant theories.Although these implications conflict with the way others have viewed the relationship of transformational grammars to semantics and to human performance, they do not eliminate the importance of such grammars to psychologists, an importance stressed in, and indeed largely created by, the work of Chomsky. It is precisely because of a growing interdependence between such linguistic theory and psychological performance models that their relationship needs to be clarified. (Quillian, 1968, p. 260)here are some terminological distinctions that are crucial to explain, or else confusions can easily arise. In the formal study of grammar, a language is defined as a set of sentences, possibly infinite, where each sentence is a string of symbols or words. One can think of each sentence as having several representations linked together: one for its sound pattern, one for its meaning, one for the string of words constituting it, possibly others for other data structures such as the "surface structure" and "deep structure" that are held to mediate the mapping between sound and meaning. Because no finite system can store an infinite number of sentences, and because humans in particular are clearly not pullstring dolls that emit sentences from a finite stored list, one must explain human language abilities by imputing to them a grammar, which in the technical sense is a finite rule system, or programme, or circuit design, capable of generating and recognizing the sentences of a particular language. This "mental grammar" or "psychogrammar" is the neural system that allows us to speak and understand the possible word sequences of our native tongue. A grammar for a specific language is obviously acquired by a human during childhood, but there must be neural circuitry that actually carries out the acquisition process in the child, and this circuitry may be called the language faculty or language acquisition device. An important part of the language faculty is universal grammar, an implementation of a set of principles or constraints that govern the possible form of any human grammar. (Pinker, 1996, p. 263)A grammar of language L is essentially a theory of L. Any scientific theory is based on a finite number of observations, and it seeks to relate the observed phenomena and to predict new phenomena by constructing general laws in terms of hypothetical constructs.... Similarly a grammar of English is based on a finite corpus of utterances (observations), and it will contain certain grammatical rules (laws) stated in terms of the particular phonemes, phrases, etc., of English (hypothetical constructs). These rules express structural relations among the sentences of the corpus and the infinite number of sentences generated by the grammar beyond the corpus (predictions). (Chomsky, 1957, p. 49)Historical dictionary of quotations in cognitive science > Grammar
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54 material
[mə'tɪərɪəl] 1. сущ.1)а) вещество, материал; сырьё- materials processingpacking material — набивочный материал, уплотняющий материал
- materials handlingб) существенная, материальная часть (чего-л.)в) ( materials) ирл.; = matts сырьё, ингредиенты ( для приготовления пунша)•Syn:2)а) данные, материал, сведения, фактыto collect / gather material — собирать данные
Syn:б) репертуар, программа, материал3) текст. материя, ткань ( обычно шерстяная)Syn:4) ( materials) принадлежности; набор инструментов, принадлежностей5)а) человек, проявляющий способности (к чему-л.), талантливый (в чём-л.)This guy is good football material. — У этого парня задатки неплохого футболиста.
He's a not bad leadership material. — Из него выйдет неплохой лидер.
2. прил.varsity material — разг. студенчество
1)а) вещественный, материальныйSyn:б) телесный, физическийSyn:в) земной, приземлённый; бездуховный, бездушныйWhat I saw struck me... as grossly material, not poetically spiritual. (Ch. Brontë, "Villette" 1853) — Увиденное мною потрясло меня... абсолютной приземлённостью, отсутствием поэтической вдохновенности.
2) материальный, имущественныйmaterial culture — материальная культура (какого-л. народа)
material well-being / comforts — материальное благосостояние, материальные блага
б) (денежный, финансовый)- material damageSyn:3) существенный, важный; значимый, весомый- material evidence
- material issueSyn:4)а) филос. материальный ( существующий вне сознания и вне зависимости от него)material object / thing — материальный объект, предмет материального мира
material sin — материальный грех (грех, совершённый неосознанно)
б) эмпирический, познаваемый через опытSyn:5) лог. материальный (основанный на содержании, а не на форме)6) лингв. вещественный, неисчисляемый ( название класса имён существительных) -
55 input information
1. входные данные2. исходная информацияEnglish-Russian big polytechnic dictionary > input information
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56 Creativity
Put in this bald way, these aims sound utopian. How utopian they areor rather, how imminent their realization-depends on how broadly or narrowly we interpret the term "creative." If we are willing to regard all human complex problem solving as creative, then-as we will point out-successful programs for problem solving mechanisms that simulate human problem solvers already exist, and a number of their general characteristics are known. If we reserve the term "creative" for activities like discovery of the special theory of relativity or the composition of Beethoven's Seventh Symphony, then no example of a creative mechanism exists at the present time. (Simon, 1979, pp. 144-145)Among the questions that can now be given preliminary answers in computational terms are the following: how can ideas from very different sources be spontaneously thought of together? how can two ideas be merged to produce a new structure, which shows the influence of both ancestor ideas without being a mere "cut-and-paste" combination? how can the mind be "primed," so that one will more easily notice serendipitous ideas? why may someone notice-and remember-something fairly uninteresting, if it occurs in an interesting context? how can a brief phrase conjure up an entire melody from memory? and how can we accept two ideas as similar ("love" and "prove" as rhyming, for instance) in respect of a feature not identical in both? The features of connectionist AI models that suggest answers to these questions are their powers of pattern completion, graceful degradation, sensitization, multiple constraint satisfaction, and "best-fit" equilibration.... Here, the important point is that the unconscious, "insightful," associative aspects of creativity can be explained-in outline, at least-by AI methods. (Boden, 1996, p. 273)There thus appears to be an underlying similarity in the process involved in creative innovation and social independence, with common traits and postures required for expression of both behaviors. The difference is one of product-literary, musical, artistic, theoretical products on the one hand, opinions on the other-rather than one of process. In both instances the individual must believe that his perceptions are meaningful and valid and be willing to rely upon his own interpretations. He must trust himself sufficiently that even when persons express opinions counter to his own he can proceed on the basis of his own perceptions and convictions. (Coopersmith, 1967, p. 58)he average level of ego strength and emotional stability is noticeably higher among creative geniuses than among the general population, though it is possibly lower than among men of comparable intelligence and education who go into administrative and similar positions. High anxiety and excitability appear common (e.g. Priestley, Darwin, Kepler) but full-blown neurosis is quite rare. (Cattell & Butcher, 1970, p. 315)he insight that is supposed to be required for such work as discovery turns out to be synonymous with the familiar process of recognition; and other terms commonly used in the discussion of creative work-such terms as "judgment," "creativity," or even "genius"-appear to be wholly dispensable or to be definable, as insight is, in terms of mundane and well-understood concepts. (Simon, 1989, p. 376)From the sketch material still in existence, from the condition of the fragments, and from the autographs themselves we can draw definite conclusions about Mozart's creative process. To invent musical ideas he did not need any stimulation; they came to his mind "ready-made" and in polished form. In contrast to Beethoven, who made numerous attempts at shaping his musical ideas until he found the definitive formulation of a theme, Mozart's first inspiration has the stamp of finality. Any Mozart theme has completeness and unity; as a phenomenon it is a Gestalt. (Herzmann, 1964, p. 28)Great artists enlarge the limits of one's perception. Looking at the world through the eyes of Rembrandt or Tolstoy makes one able to perceive aspects of truth about the world which one could not have achieved without their aid. Freud believed that science was adaptive because it facilitated mastery of the external world; but was it not the case that many scientific theories, like works of art, also originated in phantasy? Certainly, reading accounts of scientific discovery by men of the calibre of Einstein compelled me to conclude that phantasy was not merely escapist, but a way of reaching new insights concerning the nature of reality. Scientific hypotheses require proof; works of art do not. Both are concerned with creating order, with making sense out of the world and our experience of it. (Storr, 1993, p. xii)The importance of self-esteem for creative expression appears to be almost beyond disproof. Without a high regard for himself the individual who is working in the frontiers of his field cannot trust himself to discriminate between the trivial and the significant. Without trust in his own powers the person seeking improved solutions or alternative theories has no basis for distinguishing the significant and profound innovation from the one that is merely different.... An essential component of the creative process, whether it be analysis, synthesis, or the development of a new perspective or more comprehensive theory, is the conviction that one's judgment in interpreting the events is to be trusted. (Coopersmith, 1967, p. 59)In the daily stream of thought these four different stages [preparation; incubation; illumination or inspiration; and verification] constantly overlap each other as we explore different problems. An economist reading a Blue Book, a physiologist watching an experiment, or a business man going through his morning's letters, may at the same time be "incubating" on a problem which he proposed to himself a few days ago, be accumulating knowledge in "preparation" for a second problem, and be "verifying" his conclusions to a third problem. Even in exploring the same problem, the mind may be unconsciously incubating on one aspect of it, while it is consciously employed in preparing for or verifying another aspect. (Wallas, 1926, p. 81)he basic, bisociative pattern of the creative synthesis [is] the sudden interlocking of two previously unrelated skills, or matrices of thought. (Koestler, 1964, p. 121)11) The Earliest Stages in the Creative Process Involve a Commerce with DisorderEven to the creator himself, the earliest effort may seem to involve a commerce with disorder. For the creative order, which is an extension of life, is not an elaboration of the established, but a movement beyond the established, or at least a reorganization of it and often of elements not included in it. The first need is therefore to transcend the old order. Before any new order can be defined, the absolute power of the established, the hold upon us of what we know and are, must be broken. New life comes always from outside our world, as we commonly conceive that world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." (Ghiselin, 1985, p. 4)New life comes always from outside our world, as we commonly conceive our world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." Chaos and disorder are perhaps the wrong terms for that indeterminate fullness and activity of the inner life. For it is organic, dynamic, full of tension and tendency. What is absent from it, except in the decisive act of creation, is determination, fixity, and commitment to one resolution or another of the whole complex of its tensions. (Ghiselin, 1952, p. 13)[P]sychoanalysts have principally been concerned with the content of creative products, and with explaining content in terms of the artist's infantile past. They have paid less attention to examining why the artist chooses his particular activity to express, abreact or sublimate his emotions. In short, they have not made much distinction between art and neurosis; and, since the former is one of the blessings of mankind, whereas the latter is one of the curses, it seems a pity that they should not be better differentiated....Psychoanalysis, being fundamentally concerned with drive and motive, might have been expected to throw more light upon what impels the creative person that in fact it has. (Storr, 1993, pp. xvii, 3)A number of theoretical approaches were considered. Associative theory, as developed by Mednick (1962), gained some empirical support from the apparent validity of the Remote Associates Test, which was constructed on the basis of the theory.... Koestler's (1964) bisociative theory allows more complexity to mental organization than Mednick's associative theory, and postulates "associative contexts" or "frames of reference." He proposed that normal, non-creative, thought proceeds within particular contexts or frames and that the creative act involves linking together previously unconnected frames.... Simonton (1988) has developed associative notions further and explored the mathematical consequences of chance permutation of ideas....Like Koestler, Gruber (1980; Gruber and Davis, 1988) has based his analysis on case studies. He has focused especially on Darwin's development of the theory of evolution. Using piagetian notions, such as assimilation and accommodation, Gruber shows how Darwin's system of ideas changed very slowly over a period of many years. "Moments of insight," in Gruber's analysis, were the culminations of slow long-term processes.... Finally, the information-processing approach, as represented by Simon (1966) and Langley et al. (1987), was considered.... [Simon] points out the importance of good problem representations, both to ensure search is in an appropriate problem space and to aid in developing heuristic evaluations of possible research directions.... The work of Langley et al. (1987) demonstrates how such search processes, realized in computer programs, can indeed discover many basic laws of science from tables of raw data.... Boden (1990a, 1994) has stressed the importance of restructuring the problem space in creative work to develop new genres and paradigms in the arts and sciences. (Gilhooly, 1996, pp. 243-244; emphasis in original)Historical dictionary of quotations in cognitive science > Creativity
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