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1 development workings
English-Russian dictionary of geology > development workings
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2 development workings
1) Геология: подготовительная выработка2) Золотодобыча: подготовительные выработки -
3 development workings
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4 metallic supports for development workings
Общая лексика: металлическая крепь для подготовительных выработокУниверсальный англо-русский словарь > metallic supports for development workings
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5 subordinate development workings
Горное дело: второстепенные подготовительные выработки, нарезные выработкиУниверсальный англо-русский словарь > subordinate development workings
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6 workings
выработки, работы•
- adjacent workings
- ascending workings
- deep workings
- development workings
- inby workings
- old workings
- shallow workings -
7 development
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8 нарезные выработки
1) Mining: entries, subordinate development workings, temporary workings2) Gold mining: access workings, pre-production developmentУниверсальный русско-английский словарь > нарезные выработки
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9 подготовительные выработки
1) Mining: entries, preliminary development, whole workings, winnings2) Gold mining: development workings, mine openingsУниверсальный русско-английский словарь > подготовительные выработки
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10 подготовительная выработка
1) Geology: developing butt, development workings, entry, narrow working, temporary roadway2) Engineering: developing entry, development drift, development gallery, development heading, development opening, development working3) Mining: openingУниверсальный русско-английский словарь > подготовительная выработка
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11 второстепенные подготовительные выработки
Mining: subordinate development workingsУниверсальный русско-английский словарь > второстепенные подготовительные выработки
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12 металлическая крепь для подготовительных выработок
General subject: metallic supports for development workingsУниверсальный русско-английский словарь > металлическая крепь для подготовительных выработок
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13 разработка
жен.
1) working (out/up) (вопроса, проекта) ;
elaboration( детальная) ;
development
2) с.-х. tillage;
cultivation
3) минер. exploitation;
working, pit;
field;
extraction хищническая разработка недр ≈ разг. coyoting шахтовая разработка ≈ shaft mining
4) мн.;
минер. mine workings (место добычи ископаемых) ;
open-cast mines, cut mines ( открытые) ;
underground mines (подземные)разработк|а - ж.
1. (вопроса и т. п.) working out, elaboration;
2. (полезных ископаемых) mining, extraction;
~ апатитов mining of apatites;
3. (способ добычи) mining;
открытая ~ open-cast mining;
4. обыкн. мн. (место добычи) fields, workings;
торфяные ~и peat workings;
5. научно-техническая ~ research and development project;
6. ~ проекта development of a project.Большой англо-русский и русско-английский словарь > разработка
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14 prac|a
Ⅰ f 1. sgt (działalność) work; (fizyczna) labour- mieć dużo pracy to have a lot of work (to do)- jest jeszcze dużo pracy there’s still a lot of work to be done- zabrać się a. wziąć się do pracy to set to a. get down to a. go to work- przykładać się do pracy to apply oneself to one’s work- przerwać pracę (zastrajkować) to come out a. go (out) on strike- włożyć w coś wiele pracy to put a lot of work into sth- dojść do majątku (własną) pracą to get wealthy through one’s own efforts- wszystko osiągnął ciężką pracą he owes everything to his own hard work- cała jego praca poszła na marne all his work came to naught a. went down the drain pot.- (jego) praca nad filmem/nową rolą (his) work on a film/a new role- praca przy a. na komputerze/taśmie work on the computer/the production line- praca z dziećmi upośledzonymi umysłowo work with mentally handicapped children- praca z młodzieżą youth work- praca fizyczna physical work, manual labour- praca zarobkowa paid work, gainful employment- praca badawcza research work- praca społeczna voluntary a. community work- praca polityczna political activity- praca charytatywna charity work- praca papierkowa paperwork- praca niewolnicza slave labour- praca ponad siły superhuman work- praca zespołowa team work- praca w grupach group work- praca wykonywana z zamiłowaniem a labour of love- człowiek pracy a working man- świat pracy the working classes, the world of work- narzędzia pracy tools; przen. the tools of the trade- nawał a. ogrom pracy pressure of work- podział pracy Ekon. the division of labour- tempo pracy the pace of work- mieć pracę to be in work, to have a job- nie mieć pracy to be out of work a. out of a job- szukać pracy to look a. to be looking for work a. a job, to job-hunt- iść do pracy (zacząć zarabiać) to begin a. start work- rozpoczynać/kończyć pracę to begin a. start/finish work- dostać/stracić pracę to get/lose a job- zmienić pracę to change jobs- żyć z pracy własnych rąk to earn one’s living by honest work- dać komuś pracę to give sb work a. a job- zwolnić kogoś z pracy to give sb (their) notice, to dismiss sb- podziękować komuś za pracę to let sb go euf.- praca w pełnym/niepełnym wymiarze godzin a full-time/a part-time job- praca w systemie zmianowym shift work- praca etatowa/stała a permanent/a steady job- praca sezonowa seasonal work- praca sezonowa przy zbiorze truskawek seasonal work as a strawberry picker- praca wakacyjna a holiday job- praca dodatkowa an extra job- praca na akord piecework- praca zlecona a. na zlecenie contract work- dorabiał do pensji pracami zleconymi he supplemented his income with contract work- praca na własny rachunek self-employment- praca zawodowa career- praca zawodowa przy domowym terminalu telecommuting- praca z utrzymaniem a live-in job, work with bed and board- dobrze płatna praca a well-paid job- ciągłość pracy continuity of employment- staż pracy seniority, length of service- długi/krótki staż pracy long/short service- czas pracy working time a. hours- ruchomy czas pracy flexitime- skrócony czas pracy short time- dzień pracy a working day- dzień wolny od pracy a holiday- miejsce pracy work(place)- tworzenie nowych miejsc pracy job creation- rynek pracy the labour market- zakład pracy workplace- umowa o pracę contract of employment, employment contract- nagroda za 10 lat pracy a bonus for 10 years of service3. (miejsce zatrudnienia) work- być w pracy to be at work- pójść/przyjść do pracy to go/come to work- jeszcze nie wrócił (do domu) z pracy he’s not home from work yet- ona zawsze spóźnia się do pracy she’s always late for work- nie dzwoń do mnie do pracy don’t phone me at work- koledzy/koleżanki z pracy colleagues from work, fellow workers, workmates- nieobecność w pracy absence from work4. (utwór, książka, obraz) work- praca monograficzna a monograph- praca źródłowa a study based on sources a. on source materials- praca o muzyce/sztuce a. na temat muzyki/sztuki a work on a. about music/art- praca z (zakresu a. dziedziny) genetyki a work on genetics- napisać/ogłosić pracę z zakresu fizyki to write/publish a paper on physics- wystawa prac młodych artystów an exhibition of work(s) by young artists- na konkurs zgłoszono 20 prac there were 20 entries for the competition- praca domowa homework- odrabiać pracę domową to do homework- zadać uczniom pracę domową to give pupils homework a. an assignment US- praca klasowa a class test- praca semestralna a term a. an end-of-term paper- praca egzaminacyjna an examination paper a. script- praca dyplomowa/magisterska a Bachelor’s dissertation/a Master’s dissertation a. master’s thesis- praca doktorska/habilitacyjna a doctoral/a postdoctoral dissertation- praca pisemna z języka polskiego a Polish essay- poprawiać prace studentów to mark students’ work6. sgt (funkcjonowanie) workings pl, functioning, operation- praca serca the action of the heart- zatrzymanie pracy serca cardiac arrest- praca mięśni the work of the muscles- praca nerek the functioning of the kidneys- praca umysłu ludzkiego the workings of the human mind- praca maszyny/silnika the work a. operation of a machine/an engine- praca bez zakłóceń smooth running- tryb pracy (urządzenia) a mode7. Komput. job- sterowanie pracami job control- język sterowania pracami job control language- kolejka prac a job queue8. sgt Fiz. work- jednostka pracy unit of workⅡ prace plt work U- prace badawcze/badawczo-rozwojowe research/research and development work- prace przygotowawcze/wykończeniowe preparatory/completion work- prace murarskie/transportowe masonry a. bricklaying work/transport- prace remontowe/restauracyjne repair/restoration work- prace polowe/żniwne work in the field/harvesting- prace budowlane building work(s)- prace ziemne earthworks- prace budowlane jeszcze trwają the building work is still going on a. in progress- praca nakładcza outwork- praca nieprodukcyjna Ekon. non-productive labour- praca organiczna Hist. ≈ organic work (a programme of economic and cultural development, launched by the Polish positivists)- praca produkcyjna Ekon. productive labour- praca u podstaw Hist. ≈ work at the grass roots (a programme of spreading literacy and popularizing science among the masses, launched by the Polish positivists)- prace domowe housework- prace ręczne Szkol. handicrafts■ praca benedyktyńska książk. painstaking work- praca herkulesowa a Herculean task- praca syzyfowa książk. Sisyphean task a. labours- bez pracy nie ma kołaczy przysł. no gains without pains- jaka praca, taka płaca przysł. ≈ you only get paid for what you do- żadna praca nie hańbi przysł. ≈ honest work is nothing to be ashamed of- praca nie zając, nie ucieknie pot. work can waitThe New English-Polish, Polish-English Kościuszko foundation dictionary > prac|a
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15 подготовительные работы
1) General subject: development2) Geology: first mining, virgin work3) Engineering: cleanup activities, preparation4) Construction: dead work, early works, enablement works, heading work, pre-grade (до земляных работ на стройплощадке), mobilization works (подготовка к освоению строительной площадки)5) Architecture: building preparation (по строительству здания)6) Mining: development, first working, first workings, narrow work, preliminary development, preparation work, preparatory, solid work, whole work, working in the whole mine (при подземной разработке)7) Metallurgy: (для освоения месторождения) premining8) Oil: preliminary work, preparatory work, setting-up (для подземного бурения)9) Oilfield: preparatory works (на буровой)10) Makarov: activities11) Gold mining: development (подготовка горного участка или района для проведения исследования рудного), expense, stope developmentУниверсальный русско-английский словарь > подготовительные работы
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16 старые выработки
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17 Buddle, John
SUBJECT AREA: Mining and extraction technology[br]b. 15 November 1773 Kyloe, Northumberland, Englandd. 10 October 1843 Wallsend, Northumberland, England[br]English colliery inspector, manager and agent.[br]Buddle was educated by his father, a former schoolteacher who was from 1781 the first inspector and manager of the new Wallsend colliery. When his father died in 1806, John Buddle assumed full responsibility at the Wallsend colliery, and he remained as inspector and manager there until 1819, when he was appointed as colliery agent to the third Marquis of Londonderry. In this position, besides managing colliery business, he acted as an entrepreneur, gaining political influence and organizing colliery owners into fixing prices; Buddle and Londonderry were also responsible for the building of Seaham harbour. Buddle became known as the "King of the Coal Trade", gaining influence throughout the important Northumberland and Durham coalfield.Buddle's principal contribution to mining technology was with regard to the improvement of both safety standards and productivity. In 1807 he introduced a steam-driven air pump which extracted air from the top of the upcast shaft. Two years later, he drew up plans which divided the coalface into compartments; this enabled nearly the whole seam to be exploited. The system of compound ventilation greatly reduced the danger of explosions: the incoming air was divided into two currents, and since each current passed through only half the underground area, the air was less heavily contaminated with gas.In 1813 Buddle presented an important paper on his method for mine ventilation to the Sunderland Society for Preventing Accidents in Coal-mines, which had been established in that year following a major colliery explosion. He emphasized the need for satisfactory underground lighting, which influenced the development of safety-lamps, and assisted actively in the experiments with Humphrey Davy's lamp which he was one of the first mine managers to introduce. Another mine accident, a sudden flood, prompted him to maintain a systematic record of mine-workings which ultimately resulted in the establishment of the Mining Record Office.[br]Bibliography1838, Transactions of the Natural History Society of Northumberland 11, pp. 309–36 (Buddle's paper on keeping records of underground workings).Further ReadingR.L.Galloway, 1882, A History of Coalmining in Great Britain, London (deals extensively with Buddle's underground devices).R.W.Sturgess, 1975, Aristocrat in Business: The Third Marquis of Londonderry asCoalowner and Portbuilder, Durham: Durham County Local History Society (concentrates on Buddle's work after 1819).C.E.Hiskey, 1978, John Buddle 1773–1843, Agent and Entrepreneur in the NortheastCoal Trade, unpublished MLitt thesis, Durham University (a very detailed study).WK -
18 нарезные работы
1) Geology: first mining2) Mining: development within deposit, face-entry drivage, first workings, solid work, subsidiary development, whole work3) Gold mining: preparatory-development operations -
19 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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20 Rat
Präs. raten1, raten2* * *der Rat(Gremium) council; board;(Person) councillor; councilor;(Ratschlag) counsel; advice; tip* * *Im[raːt] - (e)sein Rát — a piece of advice
jdm einen Rát geben — to give sb a piece of advice
jdm den Rát geben, etw zu tun — to advise sb to do sth
bei jdm Rát holen — to ask sb's advice or sb for advice
bei jdm Rát suchen — to seek sb's advice, to seek advice from sb
Rát suchend — seeking advice
sich Rát suchend an jdn wenden — to turn to sb for advice
gegen jds Rát handeln — to go against or act against or ignore sb's advice
einem Rát folgen, einen Rát befolgen — to take a piece of advice
(hin) — on or following sb's advice
jdm mit Rát und Tat beistehen or zur Seite stehen — to support sb or back sb up in (both) word and deed
da ist guter Rát teuer — it's hard to know what to do
See:= zurate2)3) no plkeinen Rát mehr — she was at her wits' end
keinen Rát mit etw wissen — not to know what to do about sth
kommt Zeit, kommt Rát (Prov) — things work themselves out, given time
4) pl Räte (= Körperschaft) council; (= Ratsmitglied) councillor (Brit), councilor (US), council memberder Rát der Gemeinde/Stadt — ≈ the district council
der Große Rát (Sw) — the cantonal parliament
den Rát einberufen — to call a council meeting
IIim Rát sitzen — to be on the council
1. m -(e)s, -e,Rä́|tin['rɛːtɪn]2. f -, -nensenior official; (= Titel) Councillor (Brit), Councilor (US)See:* * *der1) (suggestions to a person about what he should do: You must seek legal advice if you want a divorce; Let me give you a piece of advice.) advice2) (a group of people formed in order to advise etc: The King formed a council of wise men; the Council for Recreation.) council3) (in the United Kingdom, a body of people elected to control the workings of local government in a county, region, district etc.) council* * *Rat1<-[e]s>[ra:t]m kein pl advicemit \Rat und Tat with help and advicejdn um \Rat fragen to ask sb for advice [or sb's advice]jdm einen \Rat geben to give sb some advicewenn ich dir einen \Rat geben darf if I could give you some [or a bit of [or a piece of]] advicejdm den \Rat geben, etw zu tun to advise sb to do sthsich dat keinen anderen \Rat mehr wissen, als etw zu tun not to know what to do other than to do sthjdn/etw zu \Rate ziehen to consult sb/sthauf jds \Rat [hin] on [the strength of] sb's adviceda ist guter \Rat teuer it's hard to know what to doRat2<-[e]s, Räte>[ra:t, pl ˈrɛ:tə]m POL counciler wurde in den \Rat [der Gemeinde/Stadt] gewählt he was elected to the [parish/town] councilder \Rat der Weisen ÖKON the German Expert Council on Overall Economic Development (independent body of five experts who annually present a report on the economy and its likely future development)Großer \Rat SCHWEIZ [Swiss] cantonal parliamentim \Rat sitzen (fam) ≈ to be Councillor [or AM also Councilor] (to be a member of a [Swiss] cantonal parliament)Rat, Rä·tin<-[e]s, Räte>[ra:t, ˈrɛ:tɪn, pl ˈrɛ:tə]m, f* * *der; Rat[e]s, Räte1) o. Pl. (Empfehlung) adviceda ist guter Rat teuer — I/we etc. hardly know which way to turn
ich gab ihm den Rat zu... — I advised him to...
jemandem mit Rat und Tat beistehen — stand by somebody with moral and practical support
jemanden/etwas zu Rat[e] ziehen — consult somebody/something
ich wusste [mir] keinen Rat mehr — I was at my wit's end or completely at a loss
3) (Ratsmitglied) councillor; council member* * *Rat1 m; -(e)s, kein plein Rat a piece of advice, some advice;ein guter Rat (some) good ( oder sound) advice;auf seinen Rat hin on his advice ( oder recommendation);jemanden um Rat fragen ask sb for advice, ask sb’s advice;Rat suchen seek advice (bei from);Rat suchende Personen wenden sich bitte an (+akk) those ( oder anyone) seeking advice please consult;jemandes Rat befolgen take ( oder follow) sb’s advice;nicht auf jemandes Rat hören ignore sb’s advice;mein Rat wäre, zu (+inf) my advice would be to …;Rat schaffen find ways and means;Rat wissen know what to do;keinen Rat mehr wissen be at a loss as to what to do;da ist guter Rat teuer it’s hard to say what to do;2.Rat2 m; -(e)s, Räte1. (Gremium) council, board;Europäischer Rat European Council;in den Rat wählen elect sb to the council;im Rat sitzen be on the council;der Rat tritt zusammen the council meets* * *der; Rat[e]s, Räte1) o. Pl. (Empfehlung) adviceda ist guter Rat teuer — I/we etc. hardly know which way to turn
ich gab ihm den Rat zu... — I advised him to...
jemanden/etwas zu Rat[e] ziehen — consult somebody/something
ich wusste [mir] keinen Rat mehr — I was at my wit's end or completely at a loss
3) (Ratsmitglied) councillor; council member* * *¨-e m.advice n.council n.suggestion n.
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