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1 engine test facility
установка для испытания двигателей
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[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
Англо-русский словарь нормативно-технической терминологии > engine test facility
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2 engine-test facility
Космонавтика: оборудование для испытания двигателей -
3 engine-test facility
Englsh-Russian aviation and space dictionary > engine-test facility
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4 rocket engine test facility
Космонавтика: стенд для испытания ракетных двигателейУниверсальный англо-русский словарь > rocket engine test facility
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5 facility
объект, сооружение; установка; pl. сооружения и службы; ( капитальное) оборудование; средства; см. тж. equipmentatmospheric entry test facilities — оборудование для исследования условий входа в плотные слои атмосферы
double-reverberant chamber test facility — испытательная установка с двумя реверберационными камерами
high-energy molecular beam facility — аэрд. установка с молекулярным пучком высокой интенсивности
low-cycle fatigue testing facility — установка для испытаний на малоцикловую усталость [выносливость]
plasma-arc jet test facility — плазменная установка [аэродинамическая труба] с электродуговым подогревателем
rocket engine test facility — установка [стенд] для испытания ракетных двигателей
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6 test
испытание, проба, исследование, см. тж. testing, trials; испытывать, пробовать; исследоватьacceptable environmental range test — испытание для определения диапазона допустимых изменений условий окружающей среды
jolt and jumble test — разг. испытание на удар и вибрацию
partial climb flight tests — лётные испытания «на зубцы»
single engine stall tests — испытания на срыв [сваливание] с одним работающим двигателем
supercharged CFR engine test — оценка детонационной стойкости (авиационных бензинов) на одноцилиндровой установке CFR
water(-flow, -impingement) test — холодная проливка (ракетного двигателя)
— air test— bed test— hot test— jet test -
7 test
1) испытание
2) испытательный
3) испытывать
4) опробование
5) проба
6) пробовать
7) тест
8) <engin.> опыт
9) пробный
10) проверять
11) критерий
12) признак
13) проверка
14) испытующий
15) эксперимент
16) тестовый
17) замер
18) проверочный
19) обнаружение
20) определение
21) исследовать
22) выверять
23) контрольный
– abbreviated test
– ability test
– abrasion test
– accelerated test
– acceptance test
– acid test
– ageing test
– arbitration test
– articulation test
– bench test
– bend test
– bend-over test
– bending test
– bending-unbending test
– best test
– biological test
– blank test
– blow-pipe test
– boiling test
– bond test
– breakdown test
– breaking test
– buckling test
– burning test
– busy test
– calibration test
– capillary test
– carry out a test
– centrifuge test
– chi-square test
– cohesion test
– cold test
– cold-pressing test
– collapsibility test
– color test
– coloring test
– combustibility test
– comparison test
– comprehensive test
– compression test
– consumption test
– continuity test
– corrosion test
– cracking test
– creep test
– critical test
– crushing test
– cupel test
– cupping test
– decantation test
– desctructive test
– destruction test
– destructive test
– development test
– do test
– drop test
– duplicate test
– durability test
– eddy-current test
– efficiency test
– elasticity test
– endurance test
– equal-tails test
– Erichsen test
– etch test
– evaporation test
– expansion test
– extraction test
– failure-rate test
– fat test
– fatigue test
– field test
– flammability test
– flange test
– flanging test
– flare test
– flash-point test
– flattening test
– flexure test
– flight test
– floating test
– flow test
– fluidity test
– flutter test
– fracing test
– fracture test
– free-bend test
– free-fall test
– free-flight test
– freezing test
– friability test
– friction test
– fuel-consumption test
– full-scale test
– fusion test
– game test
– goodness-of-fit test
– grindability test
– ground test
– hardenability test
– hardness test
– heat test
– hot twist test
– hot upset test
– humidity test
– hydrostatic test
– icing test
– immersion test
– impact test
– impulse test
– impulse-withstand test
– intelligence test
– jet test
– jumping-up test
– laboratory test
– leakage test
– life test
– liquid-penetrant test
– load test
– long-run test
– longevity test
– macrosolubility test
– magnetic-particle test
– material test
– medial test
– melting test
– microharness test
– microsolubility test
– model test
– no-load test
– non-destructive test
– notch-bar test
– oil dilution test
– oscillation test
– overload test
– overspeed test
– oxidation test
– paint rub test
– panel-spalling test
– pass a test
– pass the test
– peel test
– perfomance test
– performance test
– pickle test
– preliminary test
– pressure test
– primary test
– pull test
– quench test
– quick test
– random test
– referee test
– regression test
– relaxation test
– reliability test
– remolding test
– reverse-bend test
– ringing test
– road test
– root test
– routine test
– run test cut
– salt-mist test
– scratch-hardness test
– screen test
– sedimentation test
– shatter test
– shearing test
– short-term test
– shrinkage test
– sign test
– significance test
– single-end test
– site test
– skein test
– slaking test
– solubility test
– spark test
– splitting test
– spoon test
– spray test
– stopping test
– strength test
– stress test
– stress-rupture test
– subjective test
– survival test
– tackiness test
– tear test
– tensile test
– test baking
– test bank
– test borehole
– test card
– test case
– test certificate
– test chart
– test condition
– test connector
– test current
– test desk
– test device
– test diagram
– test electrolyte
– test equipment
– test facility
– test flight
– test for
– test for convergence
– test for defects
– test for end
– test for leak-proofness
– test for minimum
– test function
– test hypothesis
– test input
– test jack
– test key
– test lead
– test load
– test metal
– test mine
– test mock-up
– test model
– test needle
– test of convergence
– test of homogeneity
– test of hypothesis
– test of location
– test of normality
– test of whether
– test oscillator
– test paper
– test particle
– test pattern
– test piece
– test pilot
– test pole
– test pressure
– test pulse
– test reaction
– test relay
– test report
– test rig
– test rod
– test run
– test set
– test set-up
– test shot
– test specimen
– test stand
– test station
– test technique
– test terminal
– test to failure
– test tree
– test unit
– test voltage
– test weld
– thermal test
– torsion test
– total-lot test
– toughness test
– towing test
– type test
– ultraviolet test
– unbiased test
– upsetting test
– vacuum test
– vibration-survival test
– voltage test
– Votchal-Tiffeneau test
– warranty test
– wear test
– weld test
– weldability test
Abel test for convergence — <math.> признак сходимости Абеля
distribution-free test of fit — непараметрический критерий согласия
international test conference — международная конференция по методам и средствам испытаний
most powerful test — <math.> критерий наиболее мощный
notched test bar — <metal.> образец надрезанный
pulse-reflection ultrasonic test — ультразвуковая дефектоскопия эхом
standard test solution — <energ.> раствор модельный
test compression factor — <comput.> коэффициент сжатия тестов
test for uniform convergence — признак равномерной сходимости
test statistical hypothesis — проверять статистическую гипотезу
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8 test
испытание; исследование; опыт, проба; проверка; обнаружение; определение; показатель пробы; характеристика продукта (результат пробы); II испытывать; подвергать испытанию; пробовать; исследовать; делать опыты- test bar- test bed- test by bending and unbending- test car- test conditions - test cubicle - test facilities - test fan - test figures - test for durability - test for ground - test for parallelism - test for short - test gauge - test glass - test hause - test lamp - test method - test miles per day - test mixer - test period - test pick - test pressure - test prod - test pulse - test results- test rig- test-room- test run- test to destruction - test tunnel - test unit - test vehicle - test work- air test- break down test - color test - crash test - exaggerated test - exhaustive test - exposure test - heavy duty test - hill climbing test- hot test- odd test- oil-immersion test - paint rub test - palm test - percentage test - percussion test - performance test - periodic test - physical test - pitting corrosion test - plasticity test - porosity test - pour test - pouring test - preliminaryt test - pressure test - production test - production typical test - programme test - proof test - protracted test - psychotechnic test - pull test - pulling test - punching test - qualification test - quality test - quantitative test - quick test - rebound hardness test - reception test - recovery test - red-heat test - repair test - repeated test - repeated bending stress test - repeated compression test - repeated direct stress test - repeated dynamic stress test - repeated impact test - repeated impact tension test - repeated stress test - repeated tensile stress test - repeated tension test - repeated torsion test - repetition test - replicated field test - resilience test - retardation test - reverse bend test - rig test - rigid test - road test - roll-over test - rolling acceleration test - rotating bar fatigue test - rotating beam fatigue test - rough test - rough-track test - routine test - running test - rupture test - safety test - scratch test - scratch oil test - screening test - scuffing test - separation test - service test - shake test - shock test - short-circuit test - short-time test - simulated test - single test - skid test - skid pad test - roadability test - slow-speed test - small-scale test - soil test - sonic test - standard distillation test - starting test - static test - static torsional test - steering test - step test - stiffness test - stop-and-go test - stop-start test - stopping and starting test - stroking test - structure test - tactical test - tensile and compression test - tensile fatigue test - test tensile impact test - tensile shock test - thermal test - tilting test - torque test - torsion test - torsion impact test - toughness test - towing test - transverse test - transverse bending test - trial test - triaxial compression test - twisting test - type test - ultrasonic test - understandability test - underwater test - vehicle drag test - vehicle road test - vibration test - vibratory test - visibility test - volatility test - warpage test - warranty test - water test - water-absorption test - water-resistance test - wear test - wearing test - weather-exposure test - weather-resistance test - weathering test - wheel test - whirling test - wind-tunnel test -
9 test
1. испытание, испытания; проверка; контроль; тестирование; опробование;см. тж. testing/ испытывать; проверять; контролировать; тестировать; опробовать2. тест; проба3. критерий; признакaccelerate-stop testsaccelerated mission testacceleration-deceleration testaerobatic flight testsaeroelastic testsagility testair resonance testair-to-air testair-to-air combat testairframe testairspeed calibration testall-attitude flight testasymmetric loads testsasymmetric wing sweep flight testsauto-guidance testsbefore-flight-rated testsbench testbiaxial fatigue testbird impact testbird ingestion testbird strike testbird strike testsburn-in testburst pressure testcatapult testscentrifugal load testcentrifuge testsclean configuration testclosed-loop testcockpit workload testcombined-systems testscompatibility testcomponent testscompression testcomputer-aided testconstant amplitude testcontinued takeoff testscontrol testconvergence testcooling testcrack-detection testscrash testcreep testcrush testscyclic testsdamage tolerance testdamage resistance testdeparture testdepressed-trajectory testdestruction testdevelopment testsdivergence testsdual-frequency testdurability testdynamometer testselectromagnetic interference testselectromagnetic-vulnerability testemergency survival testEMI testsendurance testengine reingestion testenvironmental testexploratory testsfatigue testflammability testflaps up landing testsflexure testflight clearance testflight simulation testsflight-by-flight fatigue testflight simulation fatigue testsflow field testsflow visualization testsflutter testflutter-proof testsflyover testsforce testsforced oscillation testsforeign object damage testfree oscillation testsfree spinning facility testsfree-flight testfree-to-roll testsfrequency response testsfrequency-sweep testfuel runout testfull-scale testground effect testground resonance testhandling qualities testshard-ride testheat testsheavyweight testhigh-angle-of-attack testshigh-alpha testhover testshover in-ground-effect testhover-in-ground testhovering testshumidity testsicing testimpact testin-plant testsinput-to-output testsiron bird testslanding testlanding flap testslife roll testlimit cycle testslimited-envelope flight testload-deflection testlogic testlow-observability testmaneuvering testsmanual flight testsmodal testmodal survey testmode interaction testsmodel tests of airfoilsmoire interferometry testsnoise testnondestructive testnormal takeoff testsNyquist stability testopen-loop testsoperability testoscillatory testsoverland testsoxygen testsperformance testpilot-in-loop testsplenum-chamber burning testspost-flight testpreflight testpressure testpressurization testproof-lood testproof-of-concept testsradar cross-section testradiographic testrain testramp testsrate of climb testrejected takeoff testreliability testremote-site testrepair testresidual strength testresonance testsreverse-thrust testsrig testrobustness testroll-on-rim testrolling testrotary-balance testsrough ground profile testshake testshakedown testshear testsideslip testssimulation verification testsimulator testsmall-scale testsmoke testspin testsspray ingestion teststability teststall testsstatic testsstatic strength teststeady rolling testssteady state teststealth teststiffness teststore compatibility teststrength testsstructural testssupercritical testsystem integration testtail on/off teststakeoff testtaxy testtensile testtension testtethered testtowing testtransfer function testsvalidation testsvectored thrust testvibration testvulnerability testwater-tank testwaveoff testswheel testwhirl testwind blast testwind tunnel testwing-fatigue testwingborne mode flight testyaw oscillation testszero-speed-zero-altitude testzero-zero test -
10 ETF
1) Медицина: electron-transfering flavoproteine2) Военный термин: Electronic Test Facility, electrical time fuze, electronic time fuze, engineering test facility, enhanced tactical fighter, estimated time of flight3) Техника: electrical time fuse, electro thermal filter, electronic time fuse, electronically tunable filter, extended task force4) Экономика: Индексный фонд, паи которого обращаются на бирже (http://moscow-translator.ru Exchange-Traded Fund)5) Финансы: Фонд, торгуемый на бирже (http://moscow-translator.ru Exchange-Traded Fund)6) Биржевой термин: Exchange Traded Funds, Exchange Traded Fund, торгуемый индексный фонд7) Сокращение: Engine Test Facility, Engine Test Facilities, Enigma Transportable Format8) Физиология: Eustachian Tube Function9) Экология: environmental test facility10) Полимеры: elongation to failure11) Химическое оружие: Explosive Testing Facility12) Безопасность: Emergency Task Force (отряд специального назначения)13) Расширение файла: Enriched Text Format14) Международные отношения: Европейский Фонд Образования (European Training Foundation)15) Чат: Easy To Find16) Правительство: Employment and Training Fund17) NYSE. Emerging Markets Telecommunications Fund -
11 ETF
- электронная система платежей
- экспериментальная установка для проведения термоядерных исследований (США)
- установка для испытания двигателей
установка для испытания двигателей
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[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
экспериментальная установка для проведения термоядерных исследований (США)
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[А.С.Гольдберг. Англо-русский энергетический словарь. 2006 г.]Тематики
EN
электронная система платежей
Перевод денег с одного банковского счета на другой с помощью компьютера и телекоммуникационных линий. В настоящее время банки обычно при переводе денег с одного счета на другой используют компьютеры; еще одной разновидностью электронной системы платежей является система банковских услуг по телефону, позволяющая клиентам, не выходя из дома, совершать банковские операции через сеть “Вьюдата”. В США принятый в 1978 г. Закон об электронных платежах установил пределы ответственности клиентов за несанкционированный перевод средств суммой 50 млн долл. См. также: electronic funds trunsfer at point of sale (система электронных платежей в пункте продажи).
[ http://www.vocable.ru/dictionary/533/symbol/97]Тематики
EN
Англо-русский словарь нормативно-технической терминологии > ETF
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12 ATF
1) Американизм: Allied Tactical Force2) Спорт: аденозинтрифосфат3) Военный термин: Acquire The Fire, After the Fact, All Try Fire, Alliance Task Force, Allied task force, Antarctic task force, Army training film, Aviation Turbine Fuel, Fleet Ocean Tug, acceptance test facility, accounting tabular form, air task force, aircraft turbofan engine, amphibious task force, antenna test facility, armor task force, automatic target finder, automatic target follow, automatic terrain following, истребитель перспективной технологии, перспективный тактический истребитель4) Техника: actuating transfer function, adaptive transversal filter, agile transversal filter, amplitude transfer function, asphalt tile floor, automatic target following, automatic terrain-following radar5) Юридический термин: Alcohol, Tobacco, And Firearms6) Бухгалтерия: After The Flat7) Автомобильный термин: automatic transmission fluid, жидкость для автоматической трансмиссии8) Грубое выражение: Advanced Testicle Fags, Always Totally Foolish, Ass To The Floor, Ass Twat Fart9) Сокращение: Actual Time of Fall, Adaptive Terrain-Following, Advanced Tactical Fighter, Air Transport Force, Bureau of Alcohol, Tobacco, and Firearms, Fleet ocean tug and supply ship, asphalt-tile floor, Advanced Technology Fighter, Automated Telescope Facility10) Электроника: Automation Test Facility11) Вычислительная техника: automatic track finding, Automatic Track Finding (DDS)12) Космонавтика: автономные двигательные установки13) Транспорт: Automatic Transmission Ford14) Фирменный знак: American Type Founders, American Type Foundry15) Полицейский термин: Управление по борьбе с незаконным оборотом алкоголя, табака и вооружений, американская силовая структура (U.S. Bureau of Alcohol, Tobacco, Firearms, and Explosives)16) СМИ: All Things Forgotten, All Time Favorite17) Деловая лексика: Activating Transcription Factor18) Образование: Accreditation Task Force19) Общественная организация: American Taekwondo Foundation -
13 ATF
ATF, acceptance test facility————————ATF, accounting tabular form————————ATF, air task force————————ATF, aircraft turbofan engine————————ATF, Allied task force————————ATF, amphibious task force————————ATF, Antarctic task force————————ATF, antenna test facility————————ATF, armor task force————————ATF, Army training film————————ATF, automatic target finder————————ATF, automatic target follow————————ATF, automatic terrain followingEnglish-Russian dictionary of planing, cross-planing and slotting machines > ATF
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14 equipment
аппаратура, оборудование, см. тж. apparatus и facility; арматура; снаряжениеequipment to be flown — оборудование, предназначенное для лётных испытаний
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15 installation
установка; монтаж; оборудование; сооружение; ( пусковой) комплекс; объект; сборка, устройство, размещение; расположение; см. тж. facility -
16 FTE
1) Авиация: flight test engine2) Медицина: farnesyl-2-ethanesulfonic acid3) Американизм: Fully Taxable Equivalent4) Военный термин: Flight Test And Evaluation, Full Time Employment, facility training equipment, factory test equipment, flight test equipment, functional test equipment5) Техника: flight test evaluation6) Сельское хозяйство: fritted trace elements7) Шутливое выражение: Fumbling Towards Ecstasy8) Металлургия: fracture transition elastic9) Сокращение: Full-Time Equivalent10) Университет: Full Time Enrollment12) Фирменный знак: Full Time Equivalence, Full Time Equivalency13) Деловая лексика: Full Time Effort, Full Time Employees14) SAP. квота должности15) Менеджмент: сотрудник, занятый полный рабочий день (full-time employee)16) Образование: Full Time Equivalent Student17) Океанография: Fulltime Equivalent18) Сахалин Ю: full time employee19) HR. сотрудник на полную ставку20) Чат: Face The Evil21) NYSE. France Telecom -
17 fte
1) Авиация: flight test engine2) Медицина: farnesyl-2-ethanesulfonic acid3) Американизм: Fully Taxable Equivalent4) Военный термин: Flight Test And Evaluation, Full Time Employment, facility training equipment, factory test equipment, flight test equipment, functional test equipment5) Техника: flight test evaluation6) Сельское хозяйство: fritted trace elements7) Шутливое выражение: Fumbling Towards Ecstasy8) Металлургия: fracture transition elastic9) Сокращение: Full-Time Equivalent10) Университет: Full Time Enrollment12) Фирменный знак: Full Time Equivalence, Full Time Equivalency13) Деловая лексика: Full Time Effort, Full Time Employees14) SAP. квота должности15) Менеджмент: сотрудник, занятый полный рабочий день (full-time employee)16) Образование: Full Time Equivalent Student17) Океанография: Fulltime Equivalent18) Сахалин Ю: full time employee19) HR. сотрудник на полную ставку20) Чат: Face The Evil21) NYSE. France Telecom -
18 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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