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1 test for organic matter
- test for organic matter
- n
определение содержания органических примесей в заполнителях
Англо-русский строительный словарь. — М.: Русский Язык. С.Н.Корчемкина, С.К.Кашкина, С.В.Курбатова. 1995.
Англо-русский словарь строительных терминов > test for organic matter
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2 test for organic matter
Строительство: определение содержания органических примесей в заполнителяхУниверсальный англо-русский словарь > test for organic matter
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3 test
- test
- nиспытание; проверка; тест; опыт; проба; анализ; исследование; эксперимент || испытывать; проверять; исследовать
test by immersion in boiling water — проба [испытание] кипячением в воде
- test of time
- AASHO density test
- Abbot compaction test
- Abrams' test
- abrasion test
- absorption test
- accelerated test
- accelerated test for compressive strength
- accelerated strength test
- acceptance test
- accredited tests
- acid test
- aggregate crushing test
- aggregate impact test
- air test
- air content test
- air entrainment test
- air filter blackness test
- air leakage test
- air permeability test
- air permeability fineness test
- alternating bending test
- anchorage shear test
- aptitude test
- Atterberg test
- attrition test
- autoclave test
- baling-out permeability test
- ball test
- ball hardness test
- barium sulphate test
- beam test
- bearing test
- bending test
- bending tensile test
- bit wear test
- blackness air filter test
- Blain test
- block shear test
- blow flexure test
- boiling test
- bond test
- bootstrap test
- borehole shear test
- breaking test
- Brinell hardness test
- California bearing ratio test
- cement tests
- Charpy test
- Charpy V-notch impact test
- checking test
- check test
- COLE volume change test
- colorimetric test
- color test
- compacting factor test
- compaction test
- complience test
- compression test
- cone penetration test
- consistency test
- consolidated quick test
- consolidation test
- constant head permeability test
- constant rate of penetration test
- constant rate of uplift test
- constant volume test
- control test
- core test
- creep test
- C.R.P. test
- crushing test
- cube strength test
- cube test
- cylinder test
- dehydration test
- diametral compression test
- diamond pyramid hardness test
- dioctylphthalate test
- direct shear test
- dispersion test
- dissipation test
- DOP test
- Dorry test
- drain test
- drained triaxial test
- driving test
- drop-weight test
- durability test
- dust spot test
- Dutch sounding test
- dynamic penetration test
- expandable sleeve concrete test
- exposure tests
- fast field tests
- fatigue test
- field tests
- field density test
- field loading test
- field percolation test
- field vane test
- flexure test
- flow-table test
- flow test
- four-point bending test
- fracture test
- freeze-thaw test
- freeze-thaw durability test
- freezing test
- gravimetric air filter test
- hardening test of concrete
- hardness test
- Herbert cloudburst test
- hollow cylinder test
- hydraulic drain test
- hydraulic flat-jack test
- hydraulic pressure test
- hydraulic test
- hydrostatic test
- impact test
- impact crushing value test
- indentation test
- ink test
- in-place test
- in-place slump test
- in-situ test
- in-situ soil tests
- insulation test
- integrity test
- Izod impact test
- Izod test
- jolt test
- Kelly ball test
- Knoop hardness test
- laboratory test
- leakage test
- life test
- line-load test
- load test of structures
- loading test
- long-term test
- long-time creep test
- maintained load test
- manufacturer test
- methylene blue test
- model test
- needle test
- notch bending test
- notched bar test
- nuclear density test
- operational test
- organic test
- organic test for fine aggregate
- orifice tube test
- penetration test
- percussion test
- performance test
- photoelastic test
- pile load test
- pile pulling test
- pile redriving test
- plate-bearing test
- pneumatic test
- point-load test
- preliminary test
- pressure test
- pressure meter test
- proof test
- proof load test
- pumping test
- punching shear test
- pycnometer test
- Q-test
- quick test
- R-test
- Ro test
- radial percolation test
- Raymond standard test
- reception test
- reference test
- reliability test
- repeated load test
- resonant-column test
- reverse bend test
- rock bolts convergence test
- Rockwell hardness test
- Rockwell superficial hardness test
- S-test
- saponification test
- scratch test
- shearing test
- shear test
- shock bending test
- short-term test
- single point test
- site test for cement content of mortars
- slow test
- slump test
- smoke test
- soap test
- splitting tensile test
- standard-density test
- standard penetration test
- static penetration test
- strength test
- stress-relaxation test
- stress-rupture test
- tensile test
- tightness test
- time-of-set test
- torsion test
- triaxial compression test
- triaxial test
- two-point test
- type test
- ultrasonic test
- undrained test
- vacuum test
- vane test
- vibrated mortar cube test
- vibrating crushing test
- Vicat needle test
- water test
- water loading test
- water retention test
- wind loading test
- wind-tunnel test
- works beam test
- works cube test
- yield test
Англо-русский строительный словарь. — М.: Русский Язык. С.Н.Корчемкина, С.К.Кашкина, С.В.Курбатова. 1995.
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4 test
1) испытание; опыт; проба; проверка2) критерий; мерило, пробный камень3) испытательный, контрольный, пробный4) испытывать; делать опыты; подвергать испытанию5) брать пробы•test for soundness — испытание ( цемента) на равномерность изменения объёма
- abruption test - absorption test - accelerated corrosion test - accelerated wear test - acceptance test - acid test - adhesion test - adverse field test - ageing test - air test - air-content test - air-pressure test - alkalimetric test - alternate stress test - alternating bending test - alternating impact test - alternating torsion fatigue test - altitude test - angular test - appearance test - approval test - arbitration test - Atterberg test - autoclave test - axial test - back-and-forth bending test - bacteriological test - ball test - ball hardness test - ball rebound test - beam test - beam rotating fatigue test - beam-strength test - bearing test of soil - bench test - bending test - bending and unbending test - bloating test - blow test - blow-bending test - blowpipe test - bounce test - breakdown test - breaking test - Brinell hardness test - brittleness test - buckling test - burning test - bursting test - calibration test - calorimeter test - cannon test - carbon residue test - Charpy test - check test - chemical test of drain - cleavage test - closure test - coating test - cold test - cold bending test - colorimetric test for organic impurities - commercial test - commissioning tests - compaction test - comparative test - comprehensive test - compression test - compression-compression test - consistency test of concrete - continuous test - continuity of test - corrosion test - corrosive wear test - crack test - crash test - creep test - cross-bending test - crushing test - cupping test - cyclic test - damp test - decantation test - deep test - deflection test - deformation test - degradation rate test - density test - destruction test - destructive test - Deval abrasion test - doubling test - drain test - drill test - drop test - dummy test - duplicate test - dynamic breaking test - elongation test - endurance test - end-use test - evaluation test - extraction test on Portland cement - factory test - failure test - fatigue test - field tests - field in-place test - file test - fire hose reel test - fire resistance test - flange test - flattening test - flexion test - flexure test - float test - flow test - folding test - fracture test - free-bend test - freezing test - freezing and thawing test - fuel test - full-scale test - green test - grinding test - guarantee test - hardness test - hot bend test - hot twist test - immersion test - impact test - impact bend test - indentation test - ink test - intermittent test - internal pressure test - Izod impact test - knock test - Knoop microhardness test - laboratory test - leak test - leakage test - life test - limiting pressure test - load test on pile - load test - loading test - long run tests - minimum flow rate test - model test - moment test - mortar bar test - non-destructive test - notch bar test - notch bending test - on-the-road test - organic impurities test - pat test - pendulum test - penetration test - percentage test - performance test - physical endurance test - pile test - pile loading test - pneumatic test - preliminary test - pressure test - prototype test - pull-out bond test - pumping test - puncture test - qualification test - quality test - rattler test - reduced section tension test - reduction-in-alkalinity test - reduction-in-expansion test - reheat test - relaxation test - remolding test - repair test - repetition test - resistance to corrosion test - resistance to impact test - reversed bend test - ride test - rig test - road tests - rod test - running test - running-in test - salt spray tests - scale test - scratch test - sedimentation test - service test - settleability test - severe test - shear test - shear test of soil - shock test - shop test - Shore's scleroscope hardness test - short-circuit test - size test - sizing test - skid test - slump test - smell test - smoke test - soap test - sodium solution test - soil test - soundness test - spray angle test - spring closure test - squeeze test - stain test - static test - strength test - strip-off adhesion test - subgrade test - subzero test - sugar test of cement - taking over tests - tear test - tee-bend test - tensile test - tension test - throw range test - time-of-setting test - torsion test - transverse test - twisting test - ultrasonic test - unit-weight test - vane test - Vicat needle test - warpage test - warranty test - water test - water absorption test - water retention test - wear test - weather exposure test - weldability test - X-ray testto test the instrument — проверять прибор, эталонировать прибор
* * *испытание; проверка; тест; опыт; проба; анализ; исследование; эксперимент || испытывать; проверять; исследовать- test of timetest by immersion in boiling water — проба [испытание] кипячением в воде
- AASHO density test
- Abbot compaction test
- Abrams' test
- abrasion test
- absorption test
- accelerated test
- accelerated test for compressive strength
- accelerated strength test
- acceptance test
- accredited tests
- acid test
- aggregate crushing test
- aggregate impact test
- air test
- air content test
- air entrainment test
- air filter blackness test
- air leakage test
- air permeability test
- air permeability fineness test
- alternating bending test
- anchorage shear test
- aptitude test
- Atterberg test
- attrition test
- autoclave test
- baling-out permeability test
- ball test
- ball hardness test
- barium sulphate test
- beam test
- bearing test
- bending test
- bending tensile test
- bit wear test
- blackness air filter test
- Blain test
- block shear test
- blow flexure test
- boiling test
- bond test
- bootstrap test
- borehole shear test
- breaking test
- Brinell hardness test
- California bearing ratio test
- cement tests
- Charpy test
- Charpy V-notch impact test
- checking test
- check test
- COLE volume change test
- colorimetric test
- color test
- compacting factor test
- compaction test
- complience test
- compression test
- cone penetration test
- consistency test
- consolidated quick test
- consolidation test
- constant head permeability test
- constant rate of penetration test
- constant rate of uplift test
- constant volume test
- control test
- core test
- creep test
- C.R.P. test
- crushing test
- cube strength test
- cube test
- cylinder test
- dehydration test
- diametral compression test
- diamond pyramid hardness test
- dioctylphthalate test
- direct shear test
- dispersion test
- dissipation test
- DOP test
- Dorry test
- drain test
- drained triaxial test
- driving test
- drop-weight test
- durability test
- dust spot test
- Dutch sounding test
- dynamic penetration test
- expandable sleeve concrete test
- exposure tests
- fast field tests
- fatigue test
- field tests
- field density test
- field loading test
- field percolation test
- field vane test
- flexure test
- flow-table test
- flow test
- four-point bending test
- fracture test
- freeze-thaw test
- freeze-thaw durability test
- freezing test
- gravimetric air filter test
- hardening test of concrete
- hardness test
- Herbert cloudburst test
- hollow cylinder test
- hydraulic drain test
- hydraulic flat-jack test
- hydraulic pressure test
- hydraulic test
- hydrostatic test
- impact test
- impact crushing value test
- indentation test
- ink test
- in-place test
- in-place slump test
- in-situ test
- in-situ soil tests
- insulation test
- integrity test
- Izod impact test
- Izod test
- jolt test
- Kelly ball test
- Knoop hardness test
- laboratory test
- leakage test
- life test
- line-load test
- load test of structures
- loading test
- long-term test
- long-time creep test
- maintained load test
- manufacturer test
- methylene blue test
- model test
- needle test
- notch bending test
- notched bar test
- nuclear density test
- operational test
- organic test
- organic test for fine aggregate
- orifice tube test
- penetration test
- percussion test
- performance test
- photoelastic test
- pile load test
- pile pulling test
- pile redriving test
- plate-bearing test
- pneumatic test
- point-load test
- preliminary test
- pressure test
- pressure meter test
- proof test
- proof load test
- pumping test
- punching shear test
- pycnometer test
- Q-test
- quick test
- R-test
- Ro test
- radial percolation test
- Raymond standard test
- reception test
- reference test
- reliability test
- repeated load test
- resonant-column test
- reverse bend test
- rock bolts convergence test
- Rockwell hardness test
- Rockwell superficial hardness test
- S-test
- saponification test
- scratch test
- shearing test
- shear test
- shock bending test
- short-term test
- single point test
- site test for cement content of mortars
- slow test
- slump test
- smoke test
- soap test
- splitting tensile test
- standard-density test
- standard penetration test
- static penetration test
- strength test
- stress-relaxation test
- stress-rupture test
- tensile test
- tightness test
- time-of-set test
- torsion test
- triaxial compression test
- triaxial test
- two-point test
- type test
- ultrasonic test
- undrained test
- vacuum test
- vane test
- vibrated mortar cube test
- vibrating crushing test
- Vicat needle test
- water test
- water loading test
- water retention test
- wind loading test
- wind-tunnel test
- works beam test
- works cube test
- yield test -
5 определение содержания органических примесей в заполнителях
Construction: test for organic matterУниверсальный русско-английский словарь > определение содержания органических примесей в заполнителях
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6 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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7 краситель
м. dye, colour; pigmentкраситель поглощает видимый свет избирательно — a dye absorbs light in a selected region of the spectrum
растительный краситель; красильный экстракт — sap colour
краситель, способный к сублимированию — sublimable dye
натуральная краска, природный краситель — natural dye
См. также в других словарях:
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