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1 salt test
salt test ( salt testing) Salzsprühversuch m, Salzsprühtest m (zur Bestimmung der Porosität von Metallüberzügen)English-German dictionary of Electrical Engineering and Electronics > salt test
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2 salt spray testing
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3 salt-fog test
English-German dictionary of Electrical Engineering and Electronics > salt-fog test
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4 salt spray test
salt spray test ( salt spray testing) Salzsprühversuch m, Salzsprühtest m (zur Bestimmung der Porosität von Metallüberzügen)English-German dictionary of Electrical Engineering and Electronics > salt spray test
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5 testing
2. контроль ( материалов)3. проверка4. проба, исследованиеtesting of materials — испытание материалов
testing of polymers — испытание полимеров
ablation testing — испытание на абляцию, абляционное испытание
accelerated life testing — ускоренное испытание на долговечность
acoustic fatigue testing — испытание на акустическую выносливость
acoustic impact testing — контроль методом акустического удара
biaxial testing — двухосное испытание
color contrast dye penetrant testing — контроль цветной контрастной проникающей краской
cyclic fatigue testing — испытание на циклическую усталость
cyclic internal pressure testing — испытание на циклическое нагружение внутренним давлением
drop-weight impact sensitivity testing — испытание на чувствительность к удару методом сброса нагрузки
electromagnetic testing — электромагнитная дефектоскопия
fiber-optics nondestructive testing — неразрушающий контроль с использованием волоконной оптики
forming-film testing — испытание на плёнкообразование
fracture toughness testing — испытание образца на вязкость разрушением
hazard testing — испытание на взрывоопасность ( ракетного топлива)
high-strain rate testing — испытание ( материалов) при быстром деформировании
high-vacuum testing — испытание в глубоком вакууме
holographic honeycomb testing — голографический контроль материалов с сотовой конструкцией
holographic nondestructive testing — голографический метод неразрушающего контроля
immersion-resonance testing — иммерсионно-резонансное испытание [дефектоскопия]
immersion ultrasonic testing — иммерсионный ультразвуковой контроль
impact Izod testing — испытание на ударную вязкость, испытание на удар по Изоду
infrared testing — контроль инфракрасными лучами
low-cycle high-temperature fatigue testing — малоциклическое высокотемпературное испытание на усталость
macrohardness testing — испытание на макротвёрдость
magnaflux testing — испытание магнитным полем, магнитное испытание
micromechanical testing — микромеханическое испытание
microwave nondestructive testing — неразрушающий контроль методом микроволнового излучения
nondestructive material testing — испытание материала без разрушения
permeability testing — испытание на магнитную проницаемость
pilot testing — пробное [опытное] испытание
pneumatic testing — пневматическое испытание
qualification testing — проверка характеристик ( материала)
radioactive isotope testing — контроль радиоактивными изотопами
rheological testing — реологическое испытание, испытание на вязкость
salt solution testing — испытание в солевом растворе
scratch hardness testing — испытание на твёрдость царапанием, определение твёрдости по Моосу
sharp-notch tension testing — испытание на растяжение образца с острым надрезом
simulated service testing — испытание в условиях, имитирующих эксплуатационные
stress-rupture testing — испытание на длительную прочность
supersonic testing — ультразвуковой контроль [дефектоскопия]
thermal conductive testing — испытание на теплопроводность
thermal nondestructive testing — термический метод неразрушающего контроля
thermal vacuum testing — термическое испытание в вакууме
thermodynamic testing — термодинамическое испытание
thermomagnetic testing — термомагнитное испытание
ultrasonic flaw testing — ультразвуковая [УЗ] дефектоскопия, контроль [испытание] ультразвуком
uniaxial tension testing — испытание на одноосное растяжение
vacuum creep testing — испытание на ползучесть в вакууме
vibratory hardness testing — вибрационное испытание на твёрдость
X-ray graphic testing — рентгенографический контроль, рентгенография
English-Russian dictionary of aviation and space materials > testing
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6 testing solution
<srfc.qualit> (e.g. for salt spray tests) ■ Prüflösung f -
7 salt spray fog testing
<srfc.qualit> ■ Salzsprühnebelprüfung f DIN 50021English-german technical dictionary > salt spray fog testing
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8 salt spray testing
<srfc.qualit> ■ Salzsprühnebelprüfung f DIN 50021 -
9 copper accelerated acetic-acid salt-spray testing
Универсальный англо-русский словарь > copper accelerated acetic-acid salt-spray testing
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10 method
1) метод; приём; способ2) методика3) технология4) система•- accelerated strength testing method-
benching method-
bullhead well control method-
electrical-surveying method-
electromagnetic surveying method-
long-wire transmitter method-
operational method-
rule of thumb method-
straight flange method of rolling beams-
symbolical method-
tee-test method-
testing method-
triangulation method-
value-iteration method -
11 facility
1) лёгкость; удобство (напр. обслуживания)2) устройство; установка3) pl оборудование; аппаратура; средства•- burn-in facility
- certification facility
- climatic testing facility
- compression facility
- delivery facilities
- desulfurization facility
- detection facility
- diagnostic facilities
- emergency facilities
- environmental testing facilities
- equipment maintenance facility
- fail-safe facility
- fault tracing facilities
- field facilities
- field test facilities
- floating production facility
- gathering gas field surface facility
- handling facilities
- integrated testing facilities
- liquefaction facility
- maintenance facilities
- mooring facility
- mud-handling facilities
- offshore oil-field facility
- oil-field facility
- oil-field facility under construction
- oil-field surface facility
- oil-handling facilities
- oil-loading facilities
- outdoor testing facility
- processing facilities
- production facility
- pumping facility
- recycle facility
- repair facilities
- salt-cavern based gas storage facility
- seismic facilities
- servicing facilities
- standby facility
- storage facility
- surface facility
- tank cleaning facility
- tank farm facilities
- tanker facilities
- terminal facilities
- test facility
- testing facilities
- transportation facilities
- treating facility
- truck-loading facilities
- underground storage facility
- unloading facilities
- warning facility
- water facilities
- water intake facility* * *• удобствоАнгло-русский словарь нефтегазовой промышленности > facility
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12 reactor
1) хим. реактор, реакционный аппарат4) катушка индуктивности; дроссель; элемент с реактивным сопротивлением5) бтх ферментёр; реактор6) авто нейтрализатор токсичности•-
adiabatic reactor
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adjustable reactor
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air-cored reactor
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air reactor
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air-cooled reactor
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air-lift loop reactor
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annular biological reactor
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annular-cooling-space reactor
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arc-furnace reactor
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backmix-plug-flow reactor
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bare reactor
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barrel-type reactor
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batch reactor
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belt-screw-pinch reactor
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biological film reactor
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breeder reactor
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bus reactor
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C02-graphite reactor
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capillary liquid-fuel reactor
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carbon reactor
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carbon-uranium reactor
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catalytic reactor
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chemical reactor
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chemical vapor deposition reactor
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circulating reactor
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clean reactor
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closed-cycle reactor
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closely packed reactor
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CO2-D2O reactor
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colloidal nuclear reactor
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commercial-scale reactor
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commercial reactor
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concrete reactor
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contained nuclear explosion breeder reactor
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continuous reactor
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controlled thermonuclear reactor
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convergent reactor
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converter reactor
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coupling reactor
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critical reactor
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current-limiting reactor
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CVD reactor
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cylindrical plasma etching reactor
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cylindrical plasma reactor
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cylindrical rotating smelting-converting reactor
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D2O reactor
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D2O-reflected reactor
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damping reactor
-
demonstration reactor
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deuterium-moderated reactor
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deuterium reactor
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development reactor
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differential-type tubular flaw reactor
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differential tubular flaw reactor
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direct-cycle reactor
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divergent reactor
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dividing reactor
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dry-etching reactor
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dry-type reactor
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dual-cycle reactor
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dual-purpose reactor
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dynamic reactor
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earthing reactor
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electrical reactor
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electrochemical reactor
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electronuclear reactor
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engineering reactor
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enzyme reactor
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epithermal reactor
-
etching reactor
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evaporating-blanket fusion reactor
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experimental reactor
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fast-fission reactor
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fast reactor
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feeder reactor
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feed reactor
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filter reactor
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fired-heater reactor
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fission-type reactor
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fission reactor
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fixed reactor
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fixed-bed reactor
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fixed-fuel reactor
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flow reactor
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fluidized bed reactor
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food-irradiation reactor
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forgiving reactor
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full-scale reactor
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fused-salt reactor
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fusion-fission reactor
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fusion-type reactor
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gas-cooled reactor
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gas-core nuclear reactor
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gas-insulated shunt reactor
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generator neutral reactor
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generator reactor
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graphite-moderated reactor
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graphite reactor
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graphite-uranium reactor
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heat-pipe cooled reactor
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heavy-ion beam fusion reactor
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heavy-water reactor
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helium-cooled reactor
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heterogeneous reactor
-
high-power reactor
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high-power-density reactor
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high-temperature reactor
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homogeneous reactor
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indirect-cycle reactor
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intermediate reactor
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ion-exchange reactor
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iron-core reactor
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jacketed reactor
-
laser fusion reactor
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light-ion beam fusion reactor
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light-water-moderated reactor
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light-water reactor
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linear accelerator driven reactor
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linear reactor
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liquid-core nuclear reactor
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liquid-metal-cooled reactor
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liquid-moderated reactor
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load reactor
-
low-power reactor
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low-temperature reactor
-
magnox reactor
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mixed-flow reactor
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mixed-spectrum reactor
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modular stellarator-reactor
-
molten-salt reactor
-
moving-bed reactor
-
multiple-hearth reactor
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multiple-shell reactor
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multiple-tubular reactor
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mutually coupled reactor
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naked reactor
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neutral-earthing reactor
-
neutralizing reactor
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nonlinear reactor
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nuclear power reactor
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nuclear reactor
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nylon shavings enzyme reactor
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oil-circulating reactor
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oil-immersed reactor
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one-region reactor
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open-cycle nuclear reactor
-
orbital nuclear reactor
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organic-cooled reactor
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organic-moderated reactor
-
oxidation reactor
-
packed-bed reactor
-
packed-shell reactor
-
packed-tube reactor
-
paralleling reactor
-
pebble-bed reactor
-
petal-like nuclear reactor
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planar plasma etching reactor
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planar plasma reactor
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plasma etching reactor
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plasma reactor
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plutonium reactor
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polyphase reactor
-
pool reactor
-
power reactor
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pressure-tube reactor
-
pressurized water reactor
-
production reactor
-
protective reactor
-
pulse reactor
-
pyrolysis reactor
-
recycling reactor
-
reduced enrichment research reactor
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research reactor
-
rotating bed reactor
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rotating-tube reactor
-
rubber-coated reactor
-
runaway reactor
-
saturable-core reactor
-
saturable reactor
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saturated reactor
-
semibatch reactor
-
series reactor
-
shuntings reactor
-
shunt reactor
-
single-purpose reactor
-
single-region reactor
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slow-neutron reactor
-
slow reactor
-
smoothing reactor
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sodium-cooled reactor
-
sodium-deuterium reactor
-
sodium-graphite reactor
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solid-core nuclear reactor
-
solid-fuel reactor
-
source reactor
-
space nuclear reactor
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split-flow reactor
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stabilizing reactor
-
staged reactor
-
starting reactor
-
steam-blown reactor
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subcritical reactor
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supercritical reactor
-
swimming-pool reactor
-
switching reactor
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synchronizing reactor
-
tank reactor
-
teaching reactor
-
testing reactor
-
test reactor
-
thermal reactor
-
thermal-neutron reactor
-
thermionic conversion power reactor
-
thermoelectric conversion power reactor
-
thermonuclear reactor
-
thorium reactor
-
three-phase shunt reactor
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thyristor-controlled reactor
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thyristor-controlled saturated reactor
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thyristor-switched reactor
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tokamak power reactor
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torque converter reactor
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tower-loop reactor
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training reactor
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transition reactor
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transpiration-cooled reactor
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tubular reactor
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U-D2O reactor
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Universities research reactor
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upflow reactor
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uranium reactor
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vapor-heated reactor
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vortex reactor
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water-cooled reactor
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water-moderated reactor
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zero-power reactor -
13 model
модель, макет; образец; шаблон; копия || моделировать
* * *
модель; макет; образец
* * *
* * *
модель (для исследования физических явлений; может быть теоретической, физической или математической)
* * *
модель; макет; образец- availability model
- average velocity model
- breakdown model
- bulk-freezing model
- catastrophic failure model
- chain model
- constant hazard model
- constant velocity model
- convolutional model
- corrosion model
- critical-failure model
- depth model
- development simulation model
- discrete model
- electrical model
- exploding reflector model
- failure model
- failure development model
- failure diagnosis model
- failure rate model
- failure tendency model
- fatigue model
- fatigue life model
- fault model
- fault-effect model
- fault-handling model
- fault-testing model
- field model
- formation model
- frozen state model
- gas pool model
- gas reservoir model
- geological model
- geological structural model
- hazard-rate model
- homogeneous equilibrium model
- layered model
- life model
- magnetotelluric model
- maintainability model
- maintenance model
- network model
- oil spill risk assessment model
- plane model
- preproduction model
- preventive model
- product performance model
- proportional hazards model
- reliability growth model
- reliability operational model
- reliability prediction model
- reliability simulation model
- reliability structure model
- relief model
- replacement model
- reservoir model
- safety model
- salt-dome model
- scaled model
- seismic model
- service model
- slip model
- static reliability model
- stratified model
- stress-strength reliability model
- system reliability model
- two-fluid model
- two-layer model
- vertically stratified model
- vulnerability model* * * -
14 load
1) груз; нагрузка2) транспортируемые наносы, расход наносов3) мн. ч. нагрузки4) грузить; нагружать•load on axle — давление на ось; нагрузка оси
load per unit length — погонная равномерная нагрузка; погонная нагрузка
load testing of structures — испытание сооружений нагрузкой, нагружением
load uniformly distributed over span — нагрузка, равномерно распределённая по пролёту
- additional load - allowable load - alternate load - alternating load - antisymmetrical loads - apex load - application of load - applied load - assumed load - asymmetric load - axial load - axle load - basic load - bearable load - bed load - bending load - bracket load - brake load - breaking load - buckling load - ceiling load - centre-point load - centric load - centrifugal load - changing load - collapse load - column load - combination of load - combined load - compressive load - concentrated load - concentrated moving load - continuous load - cooling load - cracking load - crane load - crippling load - critical load - crushing load - dangerous load - dead load - debris bed load - design load - distributed load - distribution of load - dynamic load - dynamical load - eccentric load - edge load - elastic-limit load - emergency load - equalization of load at conveyer pulleys - equalization of load at hoisting drums - Euler's crippling load - even load - evenly distributed load - excess load - excessive load - failure load - fictitious load - filter load - fixed load - fluctuating load - follower load - fractional load - full load - gradually applied load - gravity load - gust load - heaped load - heating load - hydrodynamic load - hydrostatic load - ice load - imaginary load - impact load - impulsive load - instantaneous load - intermittent load - irregularly distributed load - lateral load - limit load - linear load - linearly varying load - line-distributed load - live load - maximum load - midspan load - minimum load - miscellaneous load - mobile load - moisture load - momentary load - movable load - moving load - near-ultimate load - net load - nominal load - non-central load - off-design load - organic load - out-of-balance load - panel load - parabolic load - pay load - payable load - peak load - periodically applied load - permanent load - permanently acting load - permissible load - pick-up load - point load - pollutant load - pollutional load - pressure load - proof load - pulsating load - punch load - quiescent load - racking load - rated load - repeated load - reversal load - reversed load - rolling load - safe load - salt load - seismic load - service load - severe load - sewage load - shear lock load - shock load - specified load - static load - statical load - steady load - stiffness test load - sudden load - suddenly applied load - super-load - superimposed load - suspended load - sustained load - symmetrical loads - terminal load - test load - third point load - tilting load - torsional load - total load - transferred load - transient load - transverse load - travelling load - trial load - ultimate load - unbalanced load - uniform load - unit load - unsafe load - useful load - varying load - vibratory load - waste load - water load - weight load - wheel load - wind loadto load in bulk — грузить насыпью, навалом
* * *1. груз; нагрузка || нагружать, загружать2. наносы ( транспортируемые потоком)load applied in increments — нагрузка, прилагаемая отдельными ступенями [приращениями]
loads applied to the formwork — нагрузки, действующие на опалубку
loads equidistant from midspan — сосредоточенные нагрузки, равноотстоящие от середины пролёта ( балки)
loads in excess of the concrete capacity — нагрузки, превышающие несущую способность бетона
load normal to the surface — нагрузка, нормальная к поверхности
load on the member — нагрузка, действующая на элемент конструкции
- load of streamunder load — под нагрузкой; в нагруженном состоянии
- load of uncertain magnitude
- abnormal load
- accepted load
- accidental load
- adjustable load
- air conditioning load
- allowable load
- allowable axial load
- allowable pile-bearing load
- alternating load
- antisymmetric load
- applied load
- arbitrary load
- area load
- assumed load
- asymmetrically-placed loads
- avalanche load
- average load
- axial load
- axial compression load
- axially symmetric load
- axial tension load
- axisymmetrical load
- axle load
- balanced load
- basic load
- bearing load
- bed load
- bending load
- biaxial load
- blast load
- breaking load
- bucket load
- buckling load
- central point load
- changing load
- characteristic load
- characteristic dead load
- characteristic live load
- climatic load
- collapse load
- collision load
- combined load
- combined axial and bending loads
- combined torsion-shear-flexure loads
- compression load
- concentrated load
- connected load
- construction loads
- continuous load
- cooling load
- crippling load
- critical load
- critical buckling load
- dead load
- derailment load
- design load
- design snow load
- design ultimate load
- distributed load
- dummy load
- dummy unit load
- dust load
- dynamic load
- earthquake load
- eccentric load
- eccentric and inclined load
- equivalent load
- erection load
- Euler load
- excess load
- explosion load
- factored load
- failure load
- fictitious design load
- fictitious load
- fire load
- fluctuating load
- fracture load
- frictional load
- front axle load
- gravity load
- gross cooling load
- ground snow load
- gust load
- heat load
- heating load
- highway loads
- highway bridge loads
- horizontal load
- humidification load
- hydrostatic load
- ice load
- imaginary load
- immission load
- impact load
- imposed load
- impulsive load
- inertial loads
- intended load
- joint load
- latent heat load
- lateral load
- lateral soil load
- limit load
- linear load
- linearly distributed load
- live load
- local load
- long duration load
- longitudinal load
- maximum load of pollution
- maximum rated load
- maximum safe load
- maximum safe working load
- maximum safe working load at the various radii
- minimum design dead loads
- minimum design live loads
- mobile load
- moving load
- moving uniform load
- near-ultimate load
- nominal uniformly distributed load
- nominal vertical wind load
- nonaxial load
- nonuniform load
- nonuniformly distributed loads
- nuisance load
- occupancy load
- off-center load
- off-peak load
- one-sided load
- on-peak load
- operating load
- panel load
- part load
- pattern load
- peak load
- permanent load
- permissible load
- point load
- pollution load
- ponding load
- primary live load
- proof load
- pulsating load
- radial load
- railway load
- rain load
- rarely occurring load
- rated load
- real load
- recommended load
- refrigerating load
- repeated load
- required design load
- residual load
- roof loads
- rupture load
- safe leg load
- safe working load
- seismic load
- sensible heat load
- service load
- service dead load
- service live load
- sewage load on treatment plant
- sewage load on water body
- shearing load
- shock load
- short duration load
- single load
- sinusoidal loads
- snow load
- snow load on a horizontal surface
- space load
- specified characteristic load
- static load
- static imposed load
- structural design load
- sudden load
- superimposed load
- superimposed dead load
- suspended load
- sustained load
- symmetrical load
- tensile load
- test load
- tipping load
- torsional load
- traffic load
- transmission heat load
- transverse load
- treating load
- trial load
- triaxial load
- twisting load
- ultimate load
- unbalanced load
- uniaxial loads
- uniform load
- uniform load on a beam overhang
- uniform load over a part of the span
- uniform load over part of the span
- uniform load over the full length of a beam with overhangs
- uniform load over the full length of a cantilever
- uniform load over the full span
- uniformly distributed load
- unit load
- unit generalized load
- unsymmetrical load
- useful cooling load
- variable load
- vehicle load
- vehicular live loads
- ventilation heat load
- vertical load
- wash load
- wave load
- wheel load
- wind load
- wind load on a truss
- working load -
15 bed
1. n кровать, постель; ложеbed pad — наматрасник; стёганая подстилка между матрацем и простынёй
2. n матрац, тюфяк; подстилкаwater bed — резиновый матрац, наполненный водой
3. n брачное ложе, брак4. n поэт. смертное ложе, могилаto lie in the bed of honour — пасть на поле чести ; пасть смертью храбрых
5. n ночлег6. n клумба; гряда, грядкаplanting bed — грядка для рассады; рассадочная гряда
7. n с. -х. почва, подготовленная под посев8. n бот. место семян9. n заросль10. n русло; дно; ложеbed scour — размыв русла, русловая эрозия
11. n дор. полотно дороги12. n стр. основание13. n стр. ряд кирпичей каменной кладкиbrick on bed — кирпич, уложенный плашмя
14. n стр. верхняя или нижняя грань кирпича15. n геол. горизонт; залегание, пласт16. n геол. подстилающий слойbed extension — протяжённость пласта; простирание
17. n геол. тех. станина, рама18. n геол. тех. шаботanvil bed — шабот, поднаковальня
19. n геол. полигр. талер; опорная плита20. n геол. метал. лещадь21. n геол. тех. слой, насыпка22. n геол. стенд, установкаbed of thorns — тернистый путь;
he was given a bed of nails in his job — на работе он попал в переплёт; у него неприятности на работе
go to bed! — заткнись!; иди ты!
23. v класть в постель; укладывать спать24. v ложиться в постель25. v ночевать, останавливаться на ночлег26. v сажать, высаживатьto bed up — напахивать борозды, гребневать
27. v стлать подстилку28. v спец. ставить на основание или на фундамент29. v геол. напластовываться30. v уст. брать жену на брачное ложеseparation from bed and board — отлучение от стола и ложа, разрыв супружеских отношений
Синонимический ряд:1. area in garden (noun) area; area in garden; cold frame; frame; garden; patch; planting; row; strip2. base (noun) base; basement; basis; bedrock; bottom; foot; footing; foundation; ground; groundwork; hardpan; infrastructure; rest; seat; seating; substratum; substruction; substructure; underpinning; understructure3. cradle (noun) cradle; crib4. deposit (noun) deposit; layer; lode; vein5. place to sleep (noun) bedstead; berth; bunk; cot; couch; mattress; place to sleep; rack; sack; waterbed6. house (verb) accommodate; berth; billet; board; bunk; domicile; harbour; house; put up; quarter; room7. retire (verb) pile in; retire; roll in; turn in8. tuck in (verb) tuck in -
16 normal
1. n нормальное состояние2. n нормальный, стандартный тип, образец, размер3. n хим. нормальный растворconjuctive normal form — конъюктивная нормальная форма; КНФ
4. n мат. нормаль, перпендикуляр5. n метеор. среднее многолетнее значение параметраnormal annual runoff — средний многолетний сток, норма стока
6. n мед. нормальная температура7. n текст. полушерстяной трикотаж8. a нормальный, обыкновенный; обычный9. a психически нормальный10. a стандартный, нормальный; типовой11. a средний12. a плановый; расчётный13. a мат. перпендикулярный; нормальныйnormal cross-section — поперечное сечение, сечение, перпендикулярное оси
normal charge condition — "батарея нормально заряжена"
14. a стат. имеющий нормальное распределениеСинонимический ряд:1. healthy (adj.) healthy; in good health; sound; whole2. routine (adj.) methodical; orderly; regular; routine3. sane (adj.) all there; compos mentis; lucid; rational; reasonable; right; right-minded; sane; wholesome4. usual (adj.) average; common; commonplace; customary; general; matter-of-course; natural; ordinary; prevalent; run-of-the-mill; standard; traditional; typic; typical; usualАнтонимический ряд: -
17 Hall, Charles Martin
SUBJECT AREA: Metallurgy[br]b. 6 December 1863 Thompson, Ohio, USAd. 27 December 1914 USA[br]American metallurgist, inventor of the first feasible electrolytic process for the production of aluminium.[br]The son of a Congregationalist minister, Hall was educated at Oberlin College. There he was instructed in chemistry by Professor F.F.Jewett, a former student of the German chemist Friedrich Wöhler, who encouraged Hall to believe that there was a need for a cheap process for the manufacture of aluminium. After graduating in 1885, Hall set to work in his private laboratory exploring the method of fused salt electrolysis. On Wednesday 10 February 1886 he found that alumina dissolved in fused cryolite "like sugar in water", and that the bath so produced was a good conductor of electricity. He contained the solution in a pure graphite crucible which also acted as an efficient cathode, and by 16 February 1886 had produced the first globules of metallic aluminium. With two backers, Hall was able to complete his experiments and establish a small pilot plant in Boston, but they withdrew after the US Patent Examiners reported that Hall's invention had been anticipated by a French patent, filed by Paul Toussaint Héroult in April 1886. Although Hall had not filed until July 1886, he was permitted to testify that his invention had been completed by 16 February 1886 and on 2 April 1889 he was granted a seventeen-year monopoly in the United States. Hall now had the support of Captain A.E. Hunt of the Pittsburgh Testing Institute who provided the capital for establishing the Pittsburgh Reduction Company, which by 1889 was selling aluminium at $1 per pound compared to the $15 for sodium-reduced aluminium. Further capital was provided by the banker Andrew Mellon (1855–1937). Hall then turned his attention to Britain and began negotiations with Johnson Matthey, who provided land on a site at Patricroft near Manchester. Here the Aluminium Syndicate, owned by the Pittsburgh Reduction Company, began to produce aluminium in July 1890. By this time the validity of Hall's patent was being strongly contested by Héroult and also by the Cowles brothers, who attempted to operate the Hall process in the United States. Hall successfully sued them for infringement, and was confirmed in his patent rights by the celebrated ruling in 1893 of William Howard Taft, subsequently President of the USA. In 1895 Hall's company changed its name to the Pittsburgh Aluminium Company and moved to Niagara Falls, where cheap electrical power was available. In 1903 a legal compromise ended the litigation between the Hall and Héroult organizations. The American rights in the invention were awarded to Hall, and the European to Héroult. The Pittsburgh Aluminium Company became the Aluminium Company of America on 1 January 1907. On his death he left his estate, worth about $45 million, for the advancement of education.[br]Principal Honours and DistinctionsChemical Society, London, Perkin Medal 1911.Further ReadingH.N.Holmes, 1930, "The story of aluminium", Journal of Chemical Education. E.F.Smith, 1914, Chemistry in America.ASD -
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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