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61 характеристика
Характеристика - characteristic, property, behavior, aspect, feature (свойство); characterization (процесс); performance (работы); response (динамическая, например: амплитуда); aspectSpectral measurements have a special place in the characterization of saponifiable lipids.Continuous thin metallic films have potentially better magnetic performance.The purpose of this investigation was to determine the load bearing and energy absorption responses of a simple structure.The unsteadiness affects the following aspects of turbomachine performance: blade loading, stage efficiency, heat transfer, flutter, noise generation and stall margin.Характеристики (горения)A "fuel gas" of this composition exhibits combustion characteristics superior to those of the initial raw hydrocarbon fuel.The H2 content of the product gas is considered to be the most influential factor in the concept of improving the combustion properties of the raw fuel by onboard fuel processing.It is also expected that the combustion behavior of these fuels, particularly regarding pollutant emissions, will be poorer because aromatics content will be greater.Русско-английский научно-технический словарь переводчика > характеристика
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62 unit
единица; подразделение, часть; блок, узел; агрегат; деталь, элемент; объект; корпус (здания); прибор; установка; машина unit - of force единица силы unit - of illumination единица освещения unit - of light единица света unit - of measure единица измерения unit - of structure элемент конструкции unit Amagat -s система единиц Лмага (в которой за единицу давления принята 1 атм, за единицу объема - объем грамм-молекулы газа при нормальных условиях 22 А л) unit auxiliary power - вспомогательная силовая установка unit break-glass - ложарный извета гель с разбиваемым стеклем unit breather - приспособление для предупреждения запотевания стекол unit British thermal - британская тепловая единица (1054,5 Дж) unit burn - медицинский пункт оказания помощи при ожогах unit caloric - тепловая единица; единица количества тепла unit centigrade heat - метрическая тепловая единица (1899,1 Дж) unit civil defense - часть (подразделение) гражданской обороны; автомобиль или техническое средство гражданской обороны unit control - штабной пожарный автомобиль unit dimensionless - безразмерная единица unit disaster - отряд первой помощи; аварийно-спасательный автомобиль unit dual purpose ioam - водопен-ный пожарный ствол unit emergency - аварийно-спасательный автомобиль emergency unit lighting - аварийное осветительное устройство, аварийный светильник unit emergency lighting single point - источник аварийного освещения выхода unit Engler - градус Энглера (условная единица вязкости) unit feed - механизм подачи unit fire alarm - установка пожарной сигнализации unit fire control "- пожарная команда (часть, подразделение); установка пожаротушения; штабной пожарный автомобиль unit fire-fighting - пожарная команда (часть, подразделение); установка пожаротушения unit fire investigation - отдел расследования причин пожаров unit first alarm - пожарный автомобиль первой помощи unit flammable storage - отделение хранения огнеопасных грузов unit flashing - мигающая (проблесковая) светосигнальная установка unit floodlight - автомобиль с прожекторами заливающего света; установка заливающего света unit foam - установка пенного пожаротушения unit fog-foam - установка пенного пожаротушения; пенорукав unit fuel-servicing - топливозаправочный агрегат unit heat - тепловая единица; единица количества тепла unit heating - отопительная установка unit hydraulic control - гидравлический механизм управления unit ignition - запальное устройство unit lighting - автомобиль освещения unit mixing - смесительная установка unit one-vehicle - пожарный наряд в составе одного пожарного автомобиля unit patrol - патрульная единица; патрульный пожарный наряд unit personnel - пожарный автомобиль для перевозки личного состава unit photometric - световая (фотометрическая) единица unit portable protection - переносная пожарная установка unit power - блок питания; силовой агрегат или установка; единица мощности '' unit pump(ing) - насосный агрегат или установка unit resistance - единица сопротивления unit searchlight - пожарный автомобиль службы освещения unit securi-light - источник аварийного освещения выхода; аварийный светильник unit selfcontained fire alarm - автономная установка пожарной сигнализации unit smoke-extraction -» установка для отсасывания дыма unit special - специальный пожарный автомобиль; автомобиль специальных служб unit structural - строительный элемент unit tactical - боевое подразделение unit temperature gauge - - датчик температуры unit thermal - тепловая единица; единица количества тепла; установка сигнализации на основе тепловых пожарных извещате-лей unit transfer pump - передвижная насосная установка volume - единица объема warehousing - хранилище width - условная единица ширины эвакуационного "пути (533 мм) -
63 цель
ж1) ( мишень) target ['ta:rgət]2) ( конечный результат) aim, purposeв це́лях — with the aim (of)
с како́й целью? — for what purpose?
с э́той целью — with this aim in view
3) (то, на что направлены усилия) objectцель э́того иссле́дования - вы́яснить строе́ние моле́кулы — the object of this investigation is to find out the molecular structure (of)
4) ( ближайший достижимый результат) objective [-'ʤektɪv]цель предвы́борного бло́ка - получи́ть как мо́жно бо́льше мест в парла́менте — the objective of the bloc is to gain as many seats in Parliament as possible
5) ( требует значительных усилий) goalон поста́вил перед собо́й цель — he set a goal for himself
ра́венство - ника́к не ближа́йшая цель, э́то скоре́е далёкий горизо́нт, идеа́л, к кото́рому ну́жно стреми́ться — equality is a goal or ideal rather than an immediately attainable objective
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64 close
1. v закрыватьclose down — закрывать, прекращать работу
2. a закрытый; ограниченный; замкнутыйclose season — время, когда охота запрещена;
3. n огороженное стеной место4. n обыкн. соборная площадь; огороженная территорияbreach of close — нарушение владения, неправомерный заход на территорию чужого владения
5. n площадка для игр6. n шотл. ход со двора7. n тупик8. a замкнутый, уединённыйto keep oneself close — держаться замкнуто; жить уединённо
9. a тайный, скрытый10. a скрытный, сдержанный11. a строго охраняемыйclose guarding — плотное держание, строгая опека
12. v закрываться13. v эл. замыкать14. v мор. задраиватьhis attitude closed the door to further negotiations — его позиция отрезала путь к дальнейшим переговорам
15. n конец; заключение, завершение16. n закрытие, окончание работы17. n муз. каданс18. v заканчивать, завершать; заключать19. v заканчиваться; завершаться20. v договариватьсяto close a bargain — договориться, заключить сделку
21. v принятьI offered him six pounds and he closed with it — я предложил ему шесть фунтов, и он согласился
22. v воен. войти в соприкосновение23. a близкий; находящийся недалеко; расположенный недалекоclose pass — пролёт на небольшом расстоянии, близкий пролёт
close set — тесно расположенный; сплошной
24. a близкий, интимный25. a тесный, близкий26. a плотный, компактный; тесный27. a хорошо пригнанный; плотный28. a облегающий29. a сжатый30. a краткий и содержательный31. a убористыйclose print — убористая печать, плотный набор
32. a душный, спёртый33. a тщательный; подробный34. a точный35. a скупой, скаредный36. a почти равныйclose vote — почти равное количество голосов «за» и «против»
37. a разг. трудно достающийся, ограниченный38. a разг. скуповатый39. a разг. арх. строгий, суровый40. a разг. редк. вязкий; нелетучий41. a разг. спорт. осторожный42. a разг. кино. крупный43. adv близкоclose at hand — близко, рядом, под рукой; рукой подать
close prices — цены, близкие по уровню
44. adv коротко45. v подходить близко, сближаться, смыкатьсяthe ship sank and the water closed over it — корабль затонул, и воды сомкнулись над ним
46. v спорт. воен. сомкнутьwe must close the ranks to secure peace — мы должны сплотиться, чтобы обеспечить мир
Синонимический ряд:1. accurate (adj.) accurate; exact; faithful; full; lifelike; meticulous; minute; precise; rigorous; scrupulous; strict2. akin (adj.) akin; similar3. attentive (adj.) attentive; keen; vigilant4. confined (adj.) compact; confined; confining; congested; cramped; crowded; dense; firm; impenetrable; narrow; packed; restricted; solid; thick5. intimate (adj.) attached; bosom; chummy; confidential; dear; devoted; familiar; friendly; intimate; physical; trusted6. near (adj.) a stone's throw; adjacent; adjoining; immediate; imminent; impending; near; near at hand; near-at-hand; nearby; neighboring; neighbouring; nigh; proximate7. oppressive (adj.) airless; breathless; heavy; muggy; oppressive; stifling; stivy; stuffy; suffocating; sultry; sweltering; unventilated; warm8. painstaking (adj.) assiduous; concentrated; constant; earnest; fixed; intense; intent; painstaking9. silent (adj.) close-lipped; closemouthed; close-mouthed; close-tongued; dumb; incommunicative; inconversable; reserved; reticent; secretive; shut-mouthed; silent; silentious; speechless; taciturn; tight-lipped; tight-mouthed; uncommunicative; withdrawn; wordless10. stingy (adj.) cheap; cheeseparing; closefisted; close-fisted; costive; hardfisted; hardhanded; ironfisted; mean; mingy; miserly; narrow-fisted; narrowhearted; niggard; niggardly; parsimonious; penny-pinching; penny-wise; penurious; pinching; pinchpenny; save-all; scrimpy; scrimy; stingy; tightfisted; ungenerous; ungiving11. tight (adj.) taut; tense; tight12. court (noun) atrium; court; courtyard; enclosure; quad; quadrangle; yard13. end (noun) adjournment; cease; cessation; closing; closure; completion; conclusion; consummation; desistance; desuetude; discontinuance; discontinuation; end; ending; finale; finish; last; period; stop; termination; terminus; windup; wrap-up14. joining (noun) connection; joining; junction; union15. adjourn (verb) adjourn; recess16. close in on (verb) approach; close in on; come closer; come together; draw near; narrow; near17. complete (verb) cease; complete; conclude; consummate; culminate; determine; do; end; halt; terminate; ultimate; wind up; wrap up18. decrease (verb) abate; bate; decrease; diminish; drain away; dwindle; lessen; peak out; peter out; rebate; recede; reduce; taper; taper off19. fill (verb) barricade; block; choke; clog; congest; fill; jam; occlude; plug; stop; stop up; stopper20. hide (verb) block out; hide; obscure; obstruct; screen; shroud; shut off; shut out21. join (verb) bind; connect; finish; fuse; join; link; tie; unite22. meet (verb) assemble; cluster; collect; congregate; convene; converge; encounter; face; front; gather; get together; group; meet; muster23. shut (verb) bolt; enclose; fasten; latch; lock; put to; seal; secure; shut; slam24. at close hand (other) at close hand; hard; near; nearby; nighАнтонимический ряд:ample; away; begin; beginning; beyond; careless; detached; distant; far; frank; liberal; open; open-handed; patent; public; release; separate; spacious -
65 test
1. n испытание; проба, проверка; опробованиеfield test — полевое испытание; испытание в эксплуатационных условиях
bench test — заводские испытания, испытания в заводских условиях
test by experiment — проверка на опыте, опытная проверка
under test — испытываемый, испытуемый
test data — данные испытаний, эмпирические данные
2. n мерило, пробный камень; серьёзное испытание; критерийtrade test — профессиональные испытания, проверка мастерства
test dose — тест-доза, пробная, контрольная или опытная доза
3. n проверочная или контрольная работа; экзамен4. n психол. тестmarch test — тест "марш"
5. n хим. исследование; анализ; опыт, проба, реакцияblood test — анализ крови, исследование крови
6. n хим. пробирная чашка7. n хим. хим. реактив8. n хим. рел. отречение от признания папской власти и догмата пресуществления9. v подвергать испытанию; испытывать, проверять; опробоватьsampling test — выборочный контроль; периодические испытания
proof test — испытание; приёмочное или проверочное испытание
10. v быть мерилом11. v проверять, убеждатьсяhe wanted to test whether a small group of specialists could show greater productivity — он хотел проверить, сможет ли небольшая группа специалистов поднять производительность труда
12. v пробоваться13. v обнаруживать определённые свойства в результате испытаний14. v тестировать, проверять с помощью тестовtest program — тест; тестовая программа; программа испытаний
15. v экзаменовать; давать контрольную работу16. v хим. подвергать действию реактива17. v хим. производить опыты18. v хим. брать пробу19. n зоол. панцирь; щит; скорлупа20. v юр. официально подтверждатьСинонимический ряд:1. experimental (adj.) experimental; experimentative; trial2. comprehensive (noun) catechisation; catechism; comprehensive; exam; examination; final; questionnaire; quiz; review3. experiment (noun) experiment; experimentation4. standard (noun) benchmark; criterion; gauge; mark; measure; standard; touchstone; yardstick5. trial (noun) analysis; assay; check; essay; experiment; experimentation; inquest; inquiry; inspection; investigation; probation; proof; trial; trial and error; trial run6. analyze (verb) analyze; inspect; investigate; probe7. examine (verb) examine; question; quiz8. try (verb) analyse; assay; check; demonstrate; essay; experiment; inquire; prove; try; try out; verify -
66 поверхностный
1. superficially2. area3. areal4. capillary5. skin6. cursory7. perfunctorily8. skin-deep9. sophomoric10. sophomorically11. superficial; surface12. frivolous13. outward14. perfunctory15. shallow16. surfaceповерхностный водоток; наземный водоём — surface watercourse
Синонимический ряд:неглубоко (проч.) легкомысленно; неглубоко -
67 Appleton, Sir Edward Victor
[br]b. 6 September 1892 Bradford, Englandd. 21 April 1965 Edinburgh, Scotland[br]English physicist awarded the Nobel Prize for Physics for his discovery of the ionospheric layer, named after him, which is an efficient reflector of short radio waves, thereby making possible long-distance radio communication.[br]After early ambitions to become a professional cricketer, Appleton went to St John's College, Cambridge, where he studied under J.J.Thompson and Ernest Rutherford. His academic career interrupted by the First World War, he served as a captain in the Royal Engineers, carrying out investigations into the propagation and fading of radio signals. After the war he joined the Cavendish Laboratory, Cambridge, as a demonstrator in 1920, and in 1924 he moved to King's College, London, as Wheatstone Professor of Physics.In the following decade he contributed to developments in valve oscillators (in particular, the "squegging" oscillator, which formed the basis of the first hard-valve time-base) and gained international recognition for research into electromagnetic-wave propagation. His most important contribution was to confirm the existence of a conducting ionospheric layer in the upper atmosphere capable of reflecting radio waves, which had been predicted almost simultaneously by Heaviside and Kennelly in 1902. This he did by persuading the BBC in 1924 to vary the frequency of their Bournemouth transmitter, and he then measured the signal received at Cambridge. By comparing the direct and reflected rays and the daily variation he was able to deduce that the Kennelly- Heaviside (the so-called E-layer) was at a height of about 60 miles (97 km) above the earth and that there was a further layer (the Appleton or F-layer) at about 150 miles (240 km), the latter being an efficient reflector of the shorter radio waves that penetrated the lower layers. During the period 1927–32 and aided by Hartree, he established a magneto-ionic theory to explain the existence of the ionosphere. He was instrumental in obtaining agreement for international co-operation for ionospheric and other measurements in the form of the Second Polar Year (1932–3) and, much later, the International Geophysical Year (1957–8). For all this work, which made it possible to forecast the optimum frequencies for long-distance short-wave communication as a function of the location of transmitter and receiver and of the time of day and year, in 1947 he was awarded the Nobel Prize for Physics.He returned to Cambridge as Jacksonian Professor of Natural Philosophy in 1939, and with M.F. Barnett he investigated the possible use of radio waves for radio-location of aircraft. In 1939 he became Secretary of the Government Department of Scientific and Industrial Research, a post he held for ten years. During the Second World War he contributed to the development of both radar and the atomic bomb, and subsequently served on government committees concerned with the use of atomic energy (which led to the establishment of Harwell) and with scientific staff.[br]Principal Honours and DistinctionsKnighted (KCB 1941, GBE 1946). Nobel Prize for Physics 1947. FRS 1927. Vice- President, American Institute of Electrical Engineers 1932. Royal Society Hughes Medal 1933. Institute of Electrical Engineers Faraday Medal 1946. Vice-Chancellor, Edinburgh University 1947. Institution of Civil Engineers Ewing Medal 1949. Royal Medallist 1950. Institute of Electrical and Electronics Engineers Medal of Honour 1962. President, British Association 1953. President, Radio Industry Council 1955–7. Légion d'honneur. LLD University of St Andrews 1947.Bibliography1925, joint paper with Barnett, Nature 115:333 (reports Appleton's studies of the ionosphere).1928, "Some notes of wireless methods of investigating the electrical structure of the upper atmosphere", Proceedings of the Physical Society 41(Part III):43. 1932, Thermionic Vacuum Tubes and Their Applications (his work on valves).1947, "The investigation and forecasting of ionospheric conditions", Journal of theInstitution of Electrical Engineers 94, Part IIIA: 186 (a review of British work on the exploration of the ionosphere).with J.F.Herd \& R.A.Watson-Watt, British patent no. 235,254 (squegging oscillator).Further ReadingWho Was Who, 1961–70 1972, VI, London: A. \& C.Black (for fuller details of honours). R.Clark, 1971, Sir Edward Appleton, Pergamon (biography).J.Jewkes, D.Sawers \& R.Stillerman, 1958, The Sources of Invention.KFBiographical history of technology > Appleton, Sir Edward Victor
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68 Charpy, Augustin Georges Albert
SUBJECT AREA: Metallurgy[br]b. 1 September 1865 Ouillins, Rhône, Franced. 25 November 1945 Paris, France[br]French metallurgist, originator of the Charpy pendulum impact method of testing metals.[br]After graduating in chemistry from the Ecole Polytechnique in 1887, Charpy continued to work there on the physical chemistry of solutions for his doctorate. He joined the Laboratoire d'Artillerie de la Marine in 1892 and began to study the structure and mechanical properties of various steels in relation to their previous heat treatment. His first memoir, on the mechanical properties of steels quenched from various temperatures, was published in 1892 on the advice of Henri Le Chatelier. He joined the Compagnie de Chatillon Commentry Fourchamboult et Decazeville at their steelworks in Imphy in 1898, shortly after the discovery of Invar by G.E. Guillaume. Most of the alloys required for this investigation had been prepared at Imphy, and their laboratories were therefore well equipped with sensitive and refined dilatometric facilities. Charpy and his colleague L.Grenet utilized this technique in many of their earlier investigations, which were largely concerned with the transformation points of steel. He began to study the magnetic characteristics of silicon steels in 1902, shortly after their use as transformer laminations had first been proposed by Hadfield and his colleagues in 1900. Charpy was the first to show that the magnetic hysteresis of these alloys decreased rapidly as their grain size increased.The first details of Charpy's pendulum impact testing machine were published in 1901, about two years before Izod read his paper to the British Association. As with Izod's machine, the energy of fracture was measured by the retardation of the pendulum. Charpy's test pieces, however, unlike those of Izod, were in the form of centrally notched beams, freely supported at each end against rigid anvils. This arrangement, it was believed, transmitted less energy to the frame of the machine and allowed the energy of fracture to be more accurately measured. In practice, however, the blow of the pendulum in the Charpy test caused visible distortion in the specimen as a whole. Both tests were still widely used in the 1990s.In 1920 Charpy left Imphy to become Director-General of the Compagnie des Aciéries de la Marine et Homecourt. After his election to the Académie des Sciences in 1918, he came to be associated with Floris Osmond and Henri Le Chatelier as one of the founders of the "French School of Physical Metallurgy". Around the turn of the century he had contributed much to the development of the metallurgical microscope and had helped to introduce the Chatelier thermocouple into the laboratory and to industry. He also popularized the use of platinum-wound resistance furnaces for laboratory purposes. After 1920 his industrial responsibilities increased greatly, although he continued to devote much of his time to teaching at the Ecole Supérieure des Mines in Paris, and at the Ecole Polytechnique. His first book, Leçons de Chimie (1892, Paris), was written at the beginning of his career, in association with H.Gautier. His last, Notions élémentaires de sidérurgie (1946, Paris), with P.Pingault as co-author, was published posthumously.[br]BibliographyCharpy published important metallurgical papers in Comptes rendus… Académie des Sciences, Paris.Further ReadingR.Barthélémy, 1947, "Notice sur la vie et l'oeuvre de Georges Charpy", Notices et discours, Académie des Sciences, Paris (June).M.Caullery, 1945, "Annonce du décès de M.G. Charpy" Comptes rendus Académie des Sciences, Paris 221:677.P.G.Bastien, 1963, "Microscopic metallurgy in France prior to 1920", Sorby Centennial Symposium on the History of Metallurgy, AIME Metallurgical Society Conference Vol.27, pp. 171–88.ASDBiographical history of technology > Charpy, Augustin Georges Albert
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69 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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70 Psychology
We come therefore now to that knowledge whereunto the ancient oracle directeth us, which is the knowledge of ourselves; which deserveth the more accurate handling, by how much it toucheth us more nearly. This knowledge, as it is the end and term of natural philosophy in the intention of man, so notwithstanding it is but a portion of natural philosophy in the continent of nature.... [W]e proceed to human philosophy or Humanity, which hath two parts: the one considereth man segregate, or distributively; the other congregate, or in society. So as Human philosophy is either Simple and Particular, or Conjugate and Civil. Humanity Particular consisteth of the same parts whereof man consisteth; that is, of knowledges which respect the Body, and of knowledges that respect the Mind... how the one discloseth the other and how the one worketh upon the other... [:] the one is honored with the inquiry of Aristotle, and the other of Hippocrates. (Bacon, 1878, pp. 236-237)The claims of Psychology to rank as a distinct science are... not smaller but greater than those of any other science. If its phenomena are contemplated objectively, merely as nervo-muscular adjustments by which the higher organisms from moment to moment adapt their actions to environing co-existences and sequences, its degree of specialty, even then, entitles it to a separate place. The moment the element of feeling, or consciousness, is used to interpret nervo-muscular adjustments as thus exhibited in the living beings around, objective Psychology acquires an additional, and quite exceptional, distinction. (Spencer, 1896, p. 141)Kant once declared that psychology was incapable of ever raising itself to the rank of an exact natural science. The reasons that he gives... have often been repeated in later times. In the first place, Kant says, psychology cannot become an exact science because mathematics is inapplicable to the phenomena of the internal sense; the pure internal perception, in which mental phenomena must be constructed,-time,-has but one dimension. In the second place, however, it cannot even become an experimental science, because in it the manifold of internal observation cannot be arbitrarily varied,-still less, another thinking subject be submitted to one's experiments, comformably to the end in view; moreover, the very fact of observation means alteration of the observed object. (Wundt, 1904, p. 6)It is [Gustav] Fechner's service to have found and followed the true way; to have shown us how a "mathematical psychology" may, within certain limits, be realized in practice.... He was the first to show how Herbart's idea of an "exact psychology" might be turned to practical account. (Wundt, 1904, pp. 6-7)"Mind," "intellect," "reason," "understanding," etc. are concepts... that existed before the advent of any scientific psychology. The fact that the naive consciousness always and everywhere points to internal experience as a special source of knowledge, may, therefore, be accepted for the moment as sufficient testimony to the rights of psychology as science.... "Mind," will accordingly be the subject, to which we attribute all the separate facts of internal observation as predicates. The subject itself is determined p. 17) wholly and exclusively by its predicates. (Wundt, 1904,The study of animal psychology may be approached from two different points of view. We may set out from the notion of a kind of comparative physiology of mind, a universal history of the development of mental life in the organic world. Or we may make human psychology the principal object of investigation. Then, the expressions of mental life in animals will be taken into account only so far as they throw light upon the evolution of consciousness in man.... Human psychology... may confine itself altogether to man, and generally has done so to far too great an extent. There are plenty of psychological text-books from which you would hardly gather that there was any other conscious life than the human. (Wundt, 1907, pp. 340-341)The Behaviorist began his own formulation of the problem of psychology by sweeping aside all medieval conceptions. He dropped from his scientific vocabulary all subjective terms such as sensation, perception, image, desire, purpose, and even thinking and emotion as they were subjectively defined. (Watson, 1930, pp. 5-6)According to the medieval classification of the sciences, psychology is merely a chapter of special physics, although the most important chapter; for man is a microcosm; he is the central figure of the universe. (deWulf, 1956, p. 125)At the beginning of this century the prevailing thesis in psychology was Associationism.... Behavior proceeded by the stream of associations: each association produced its successors, and acquired new attachments with the sensations arriving from the environment.In the first decade of the century a reaction developed to this doctrine through the work of the Wurzburg school. Rejecting the notion of a completely self-determining stream of associations, it introduced the task ( Aufgabe) as a necessary factor in describing the process of thinking. The task gave direction to thought. A noteworthy innovation of the Wurzburg school was the use of systematic introspection to shed light on the thinking process and the contents of consciousness. The result was a blend of mechanics and phenomenalism, which gave rise in turn to two divergent antitheses, Behaviorism and the Gestalt movement. The behavioristic reaction insisted that introspection was a highly unstable, subjective procedure.... Behaviorism reformulated the task of psychology as one of explaining the response of organisms as a function of the stimuli impinging upon them and measuring both objectively. However, Behaviorism accepted, and indeed reinforced, the mechanistic assumption that the connections between stimulus and response were formed and maintained as simple, determinate functions of the environment.The Gestalt reaction took an opposite turn. It rejected the mechanistic nature of the associationist doctrine but maintained the value of phenomenal observation. In many ways it continued the Wurzburg school's insistence that thinking was more than association-thinking has direction given to it by the task or by the set of the subject. Gestalt psychology elaborated this doctrine in genuinely new ways in terms of holistic principles of organization.Today psychology lives in a state of relatively stable tension between the poles of Behaviorism and Gestalt psychology.... (Newell & Simon, 1963, pp. 279-280)As I examine the fate of our oppositions, looking at those already in existence as guide to how they fare and shape the course of science, it seems to me that clarity is never achieved. Matters simply become muddier and muddier as we go down through time. Thus, far from providing the rungs of a ladder by which psychology gradually climbs to clarity, this form of conceptual structure leads rather to an ever increasing pile of issues, which we weary of or become diverted from, but never really settle. (Newell, 1973b, pp. 288-289)The subject matter of psychology is as old as reflection. Its broad practical aims are as dated as human societies. Human beings, in any period, have not been indifferent to the validity of their knowledge, unconcerned with the causes of their behavior or that of their prey and predators. Our distant ancestors, no less than we, wrestled with the problems of social organization, child rearing, competition, authority, individual differences, personal safety. Solving these problems required insights-no matter how untutored-into the psychological dimensions of life. Thus, if we are to follow the convention of treating psychology as a young discipline, we must have in mind something other than its subject matter. We must mean that it is young in the sense that physics was young at the time of Archimedes or in the sense that geometry was "founded" by Euclid and "fathered" by Thales. Sailing vessels were launched long before Archimedes discovered the laws of bouyancy [ sic], and pillars of identical circumference were constructed before anyone knew that C IID. We do not consider the ship builders and stone cutters of antiquity physicists and geometers. Nor were the ancient cave dwellers psychologists merely because they rewarded the good conduct of their children. The archives of folk wisdom contain a remarkable collection of achievements, but craft-no matter how perfected-is not science, nor is a litany of successful accidents a discipline. If psychology is young, it is young as a scientific discipline but it is far from clear that psychology has attained this status. (Robinson, 1986, p. 12)Historical dictionary of quotations in cognitive science > Psychology
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71 философия
философия
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philosophy
The academic discipline concerned with making explicit the nature and significance of ordinary and scientific beliefs and investigating the intelligibility of concepts by means of rational argument concerning their presuppositions, implications, and interrelationships; in particular, the rational investigation of the nature and structure of reality (metaphysics), the resources and limits of knowledge (epistemology), the principles and import of moral judgment (ethics), and the relationship between language and reality (semantics). (Source: CED)
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72 philosophie
философия
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philosophy
The academic discipline concerned with making explicit the nature and significance of ordinary and scientific beliefs and investigating the intelligibility of concepts by means of rational argument concerning their presuppositions, implications, and interrelationships; in particular, the rational investigation of the nature and structure of reality (metaphysics), the resources and limits of knowledge (epistemology), the principles and import of moral judgment (ethics), and the relationship between language and reality (semantics). (Source: CED)
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Франко-русский словарь нормативно-технической терминологии > philosophie
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73 Philosophie
философия
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philosophy
The academic discipline concerned with making explicit the nature and significance of ordinary and scientific beliefs and investigating the intelligibility of concepts by means of rational argument concerning their presuppositions, implications, and interrelationships; in particular, the rational investigation of the nature and structure of reality (metaphysics), the resources and limits of knowledge (epistemology), the principles and import of moral judgment (ethics), and the relationship between language and reality (semantics). (Source: CED)
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Немецко-русский словарь нормативно-технической терминологии > Philosophie
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74 философия
философия
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philosophy
The academic discipline concerned with making explicit the nature and significance of ordinary and scientific beliefs and investigating the intelligibility of concepts by means of rational argument concerning their presuppositions, implications, and interrelationships; in particular, the rational investigation of the nature and structure of reality (metaphysics), the resources and limits of knowledge (epistemology), the principles and import of moral judgment (ethics), and the relationship between language and reality (semantics). (Source: CED)
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Русско-английский словарь нормативно-технической терминологии > философия
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75 философия
философия
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philosophy
The academic discipline concerned with making explicit the nature and significance of ordinary and scientific beliefs and investigating the intelligibility of concepts by means of rational argument concerning their presuppositions, implications, and interrelationships; in particular, the rational investigation of the nature and structure of reality (metaphysics), the resources and limits of knowledge (epistemology), the principles and import of moral judgment (ethics), and the relationship between language and reality (semantics). (Source: CED)
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76 philosophy
принцип
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мнение
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philosophy
The academic discipline concerned with making explicit the nature and significance of ordinary and scientific beliefs and investigating the intelligibility of concepts by means of rational argument concerning their presuppositions, implications, and interrelationships; in particular, the rational investigation of the nature and structure of reality (metaphysics), the resources and limits of knowledge (epistemology), the principles and import of moral judgment (ethics), and the relationship between language and reality (semantics). (Source: CED)
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Англо-русский словарь нормативно-технической терминологии > philosophy
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