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81 test
1) замер2) испытание; испытания || испытывать; исследовать3) стат. критерий4) обнаружение; определение5) опробывание6) опыт; эксперимент7) признак8) проба || пробовать9) проверка || проверять10) тест || тестовый11) пробный•test for uniformity — мат. критерий равномерности
test for trend — мат. проверка на тренд
test for singularity — мат. критерий особенности
test for regression — мат. проверка на наличие регрессии
test for randomness — мат. критерий случайности
test for primality — мат. признак простоты (числа)
test for optimality — мат. критерий оптимальности
test for nonadditivity — мат. признак неаддитивности
test for minimum — мат. проверка на минимум
test for interaction — мат. критерий взаимодействия
test for exponentiality — мат. критерий экспоненциальности
test for ergodicity — мат. критерий эргодичности
test for divisibility — мат. признак делимости
test for definiteness — мат. критерий определённости
test for convergence — мат. критерий сходимости
test for concordance — мат. критерий согласия
test for casualty — мат. критерий обусловленности
- asymptotically efficient test - asymptotically minimax test - asymptotically most powerful rank test - asymptotically optimum test - asymptotically robust test - asymptotically unbiased test - double-tailed testto make test — стат. строить критерий (напр., для проверки значимости отклонений)
- fat test- general test for homogeneity- jet test- locally unbiased test - multiple comparison test - multiple ranking test - normal scores test - one-tailed test - probability ratio test - process normality test - single-tailed test - statistically valid test - test for goodness of fit - test for homogeneity of means - test for homogeneity of variances - test for nonsphericalness of disturbances - test for significant changes - test for uniform convergence - test hypothesis with experiment - uniformly asymptotically efficient test - uniformly best test - uniformly consistent test -
82 computer
1. n компьютер, электронная вычислительная машина, ЭВМ2. n вычислитель, расчётчик3. n счётчик4. a компьютерный, машинныйcomputer programme — программа для вычислительной машины, машинная программа
computer game — машинная игра, игровая программа
computer program — компьютерная программа; программа для ЭВМ
computer adviser — машина-советчик; машинный консультант
computer wizard — компьютерный ас; компьютерный виртуоз
Синонимический ряд:1. data processor (noun) analytical engine; artificial intelligence; calculator; cpu; data processor; mainframe; mini computer; multitasking computer; PC2. mechanism (noun) contrivance; device; gadget; implement; instrument; machine; mechanism; motor -
83 show
1. n показ, демонстрация2. n выставкаtravelling show — бродячий зверинец; бродячий цирк, балаган
3. n пышная процессия4. n разг. зрелище, спектакль, представлениеice show — эстрадное представление на льду; балет на льду
5. n шоу, эстрадное представлениеa sock show — шоу, пользующееся огромным успехом
6. n тлв. радио, передачаa popular programme was pre-empted by a news show — вместо популярной передачи показали выпуск новостей
7. n киносеанс8. n спорт. выступлениеto gag a show — вставить в выступление шутки, остроты
9. n авиационный праздник; показательные полёты10. n разг. вечер, приём, банкет, торжество11. n картина, вид, зрелище12. n жалкое зрелище, нелепая картина13. n книжн. внешний вид; видимостьfor show — для видимости, для виду
14. n показная сторона; внешний эффектfor show — для внешнего эффекта, напоказ
light show — фантастическое представление, шоу, основанное не световых эффектах
15. n разг. дело, предприятие16. n воен. разг. дело, бой, операцияto put up a show — драться, сражаться, побывать в деле
17. n проявление, признакsome suggested, without good show of reason, that … — некоторые высказали мысль, без особых на то оснований, что …
the party was a dull show — на вечере была отчаянная возможность, шанс
18. n амер. австрал. следы, признаки наличия19. n горн. ореол20. n спорт. жарг. третье место или одно из трёх первых мест21. n физиол. водыto show cause — привести основания ; представить доводы
22. a показательный23. v показываться, появляться24. v указывать25. v показывать, объяснять, учить26. v выставлять; экспонировать27. v выставлять для продажи, предлагать28. v изображать29. v разг. театр. играть, даватьgame show — телеигра, телевизионная игра
to show in color — закрашивать, давать в красках
show a profit — давать прибыль; приносить прибыль
30. v разг. выступать на рингеhopefully we will get to the show on time — надо надеяться, что мы не опоздаем на представление
31. v разг. выявлять, устанавливатьhe showed the plan to be faulty on — показал, что план составлен неудачно
32. v разг. проявлять, обнаруживатьhe showed every mark of extreme agitation — но всему было видно, что он очень возбуждён
33. v разг. оттенять, выделятьshow off — представлять в выгодном свете; оттенять, подчёркивать
34. v разг. выделяться, виднеться; быть видным, заметнымshow through — проступать, быть заметным; просвечивать
35. v разг. появляться, быватьhe showed himself in public places to quiet rumours that he was ill — он стал появляться в обществе, чтобы положить конец слухам о своей выглядеть, казаться, иметь вид
36. v разг. спорт. жарг. занять третье место или одно из трёх первых местa bet to win, place or show — тройное пари ; ставка на первую, вторую и третью лошадь
Синонимический ряд:1. affectation (noun) affectation; front; pose2. appearance (noun) appearance; appearances; guise; out; seeming; semblance; simulacrum3. comedy (noun) comedy; drama; musical; opera4. display (noun) array; demonstration; display; expression; fanfare; manifestation; mark; panoply; parade; pomp; shine5. indication (noun) indication; occurrence; representation; showing; sight; trace6. mask (noun) cloak; color; coloring; colour; colouring; cover; disguise; disguisement; facade; face; false front; gloss; mask; muffler; put-on; veil; veneer; window dressing; window-dressing7. movie (noun) cine; film; flick; motion picture; movie; moving picture; photoplay; picture; picture show8. opportunity (noun) break; chance; look-in; occasion; opening; opportunity; shot; squeak; time9. pretense (noun) act; deception; illusion; masquerade; ostentation; pretence; pretense; pretext; sham; simulation10. production (noun) ceremony; concert; exhibit; exhibition; exposition; fair; pageant; performance; play; presentation; production; program; spectacle11. appear (verb) appear; emerge; issue; loom; materialise12. bare (verb) bare; disclose; expose; lay open; uncover; unmask; unveil13. brandish (verb) brandish; disport; flash; flaunt; offer; parade; show off; sport; trot out14. come (verb) arrive; come; get; get in; reach; show up; turn up15. demonstrate (verb) demonstrate; display; evidence; evince; exhibit; illustrate; look; manifest; ostend; present; seem; unfurl16. give (verb) accord; bestow; confer; dispense; give; grant17. guide (verb) accompany; conduct; direct; escort; guide; lead; pilot; route; see; shepherd; steer; usher18. image (verb) delineate; depict; describe; image; limn; picture; portray; render; represent19. indicate (verb) denote; designate; indicate; mark; point out; read; record; register; say; specify20. prove (verb) authenticate; bear out; confirm; corroborate; determine; establish; make out; prove; substantiate; validate; verify21. read (verb) mark; read; record; register22. reveal (verb) clarify; divulge; elucidate; explain; explicate; proclaim; publish; reveal23. run (verb) play; run24. stage (verb) mount; produce; put on; stageАнтонимический ряд:conceal; confound; disguise; disprove; dissimilarity; falsify; hide; misinterpret; mystify; non-appearance; obscure -
84 analysis
[əˈnæləsɪs]accounts analysis анализ статей баланса ad hoc analysis анализ специального вида analysis (pl -ses) анализ analysis анализ analysis исследование analysis подробное рассмотрение analysis психоанализ analysis грам. разбор; sentence analysis синтаксический разбор analysis хим. разложение analysis of accounts ревизия счетов analysis of balance sheet анализ балансового отчета analysis of economic trends полит.эк. анализ экономических тенденций analysis of profitability анализ прибыльности analysis of variance стат. дисперсионный анализ authorized program analysis вчт. санкционированный анализ программы backwarderror analysis вчт. обратный анализ ошибок balance sheet analysis анализ балансового отчета bayesian analysis байесовский анализ best-route analysis вчт. анализ оптимального маршрута bottom-up analysis восходящий анализ breakeven analysis анализ безубыточности bus state analysis вчт. анализ состояния шины cash flow analysis анализ движения денежной наличности cash flow analysis анализ движения ликвидности circulation analysis анализ распространения информации cluster analysis анализ путем разбиения на группы cluster analysis группирование cluster analysis стат. кастерный анализ cluster analysis классификация cluster analysis вчт. кластерный анализ comparative external analysis сравнительное наружное обследование complex analysis вчт. комплексный анализ congestion analysis вчт. анализ системы массового обслуживания correlation analysis корреляционный анализ cost analysis анализ затрат cost-benefit analysis (CBA) анализ затрат и результатов cost-benefit analysis (CBA) межотраслевой анализ covariance analysis ковариационный анализ critical path analysis анализ методом критического пути cross-section analysis стат. структурный анализ cross-sectional analysis статический анализ decision-flow analysis вчт. анализ потока решений differential analysis дифференциальный анализ discontinuance analysis анализ причин прекращения производства discriminant analysis дискриминантный анализ dynamic analysis динамический анализ economic analysis экономический анализ (например, экономический анализ деревенской бедности в развивающихся странах) economic analysis экономический анализ error analysis вчт. анализ погрешностей extrapolative analysis экстраполятивный анализ factor analysis факторный анализ factorial analysis факторный анализ failure tree analysis вчт. анализ дерева отказов feasibility analysis анализ осуществимости financial analysis анализ финансового состояния flow analysis анализ потоков данных functional analysis функциональный анализ funds flow analysis анализ источников и использования средств funds flow analysis отчет об источниках и использовании средств game-theoretic analysis теоретико- игровой анализ graphical analysis графический анализ impact analysis анализ влияния факторов in the last (или final) analysis в конечном счете incoming orders analysis анализ поступающих заказов incremental analysis анализ приращений invariant analysis инвариантный анализ investment analysis анализ капиталовложений job analysis анализ вида работы job analysis изучение особенностей работы job analysis изучение трудовых операций layout analysis анализ топологии least-squares analysis анализ методом наименьших квадратов linear analysis линейный анализ linear programming analysis анализ методом линейного программирования liquidity analysis анализ ликвидности logistic analysis логистический анализ market analysis анализ рынка marketing analysis анализ сбыта markovian analysis марковский анализ matrix analysis матричный анализ means-ends analysis анализ цели-средства media analysis анализ рекламной деятельности motivational analysis исследование мотиваций motivational analysis мотивационный анализ multiple factor analysis многофакторный анализ multivariate statistical analysis многомерный статистический анализ needs analysis анализ потребностей network analysis сетевой анализ (частный случай системного анализа) network analysis сетевой анализ numerical analysis вчт. численный анализ occupational analysis анализ профессии (описание выполняемых задач и операций) operations analysis анализ производственного процесса по операциям operations analysis исследование операций organizational analysis организационный анализ parameter analysis анализ изменения параметров parameter variation analysis вчт. анализ изменения параметров partial analysis частичный анализ peak hour analysis анализ пикового периода period analysis анализ последовательностей periodogram analysis анализ периодических зависимостей perspective analysis перспективный анализ postoptimality analysis анализ после нахождения оптимального решения probabilistic analysis вероятностный анализ production analysis анализ производства profitability analysis анализ рентабельности protocol analysis протокольный анализ proximate analysis приближенный анализ quadratic analysis квадратический анализ qualitative analysis качественный анализ quantitative analysis количественный анализ quasilinear analysis квазилинейный анализ queueing analysis анализ системы массового обслуживания ranging analysis классификационный анализ regresslon analysis регрессионный анализ relevance analysis анализ важности факторов response analysis анализ ответов risk analysis анализ степени риска sales analysis анализ возможностей сбыта sales order analysis анализ заказов на закупку scenary analysis анализ сцен scene analysis вчт. анализ изображений security analysis изучение финансовой деятельности компании analysis грам. разбор; sentence analysis синтаксический разбор sequence analysis вчт. анализ последовательностей share analysis анализ акций short-period analysis анализ за короткий период времени simulation analysis исследование методом моделирования skill analysis анализ квалификации socio-economic analysis социально-экономический анализ spectral analysis спектральный анализ statistic analysis статистический анализ statistical analysis статистический анализ structural analysis структурный анализ syntax analysis синтаксический анализ systems analysis анализ систем tabular analysis анализ табличных данных task analysis анализ рабочего задания technical analysis технический анализ time-series analysis анализ временных рядов top-down analysis нисходящий анализ trace analysis анализ кривых transverse analysis поперечный анализ trend analysis анализ тренда value analysis стоимостно-функциональный анализ variance analysis дисперсионный анализ variance analysis выч. дисперсионный анализ wave analysis гармоничный анализ wave-form analysis гармоничный анализ work load analysis анализ рабочей нагрузки -
85 program
[ˈprəuɡræm]absolute program вчт. программа в абсолютных адресах accessory program вчт. вспомогательная программа administration program вчт. организующая программа application program вчт. прикладная программа archive program вчт. программа архивации assembly language program вчт. программа на языке ассемблера assembly program вчт. ассемблер authorized program вчт. авторизованная программа background program вчт. фоновая программа bagbiting program вчт. дурацкая программа bogotified program вчт. дезорганизованная программа bootstrap program вчт. программа начальной загрузки системы bootstrap program вчт. программа самозагрузки branching program разветвление программы (способ обучения) brittle program вчт. непереносимая программа broken program вчт. испорченная программа called program вчт. вызывающая программа calling program вчт. вызываемая программа channel program вчт. канальная программа checking program контролирующая программа checking program программа контроля chkdsk program вчт. программа проверки диска compiler program вчт. компилятор complete program вчт. готовая программа computer program вчт. компьютерная программа computer program машинная программа computer program программа для вычислительной машины configuration program вчт. программа конфигурирования consulting program вчт. консультирующая программа control program вчт. программа управления control program вчт. управляющая программа conversational program вчт. диалоговая программа copy-protected program вчт. программа защищенная от копирования crash-proof program вчт. живучая программа crufty program вчт. неработоспособная программа cuspy program вчт. аккуратная программа dead program вчт. мертвая программа despooling program вчт. программа буферизации выходных потоков development program вчт. инструментальная программа diagnostic program вчт. диагностическая программа diagnostic program вчт. программа обнаружения неисправностей diagnostic program вчт. программа обнаружения ошибок diagnostic program вчт. тестовая программ disk-resident program вчт. диск-резидентная программа draw program вчт. программа подготовки штриховых иллюстраций editor program вчт. редакторская программа example program вчт. пример программы executable program вчт. исполняемая программа execute only program вчт. программа без исходных текстов executive program вчт. диспетчер fine program вчт. чистая программа fine-grained program вчт. мелкомодульная программа fixed program вчт. жесткая программа foreground program вчт. приоритетная программа format program вчт. программа форматирования froggy program вчт. замысловатая программа program план (работы и т. п.); what is the program(me)? разг. ну, чем займемся?; a full program(me) множество занятий, дел game program вчт. игровая программа government program государственная программа grungy program вчт. неряшливая программа heuristic program вчт. эвристическая программа hyphenation program вчт. программа автоматического переноса слов in-line program вчт. линейная программа inactive program бездействующая программа inactive program вчт. неактивная программа learning program вчт. самообучаемая программа library program вчт. библиотечная программа license program вчт. лицензионная программа load program вчт. загрузчик load-and-go program вчт. программа с запуском по загрузке macroassembly program вчт. программа на языке макроассемблера main program вчт. основная программа menu-driven program вчт. программа, вызываемая с помощью меню merging program вчт. программа слияния monitor program вчт. управляющая программа mutated program вчт. видоизмененная программа nonprocedural program вчт. непроцедурная программа object program вчт. объектная программа off-the-peg program вчт. готовая программа omnipresent program вчт. сохраняемая программа operating program вчт. эксплуатируемая программа operation program вчт. программа оперативного обслуживания operation program вчт. работающая программа operation program вчт. рабочая программа overlay program вчт. оверлейная программа packaged audit program пакет ревизионных программ paint program вчт. программа подготовки иллюстраций paintbrush program вчт. программа рисования patched program вчт. программа с заплатами portable program вчт. мобильная программа precanned program вчт. фирменная программа preemptible program вчт. выгружаемая программа preemptive program вчт. вытесняющая программа print-intensive program вчт. программа с большим объемом печати printed program вчт. изданная программа procedural program вчт. процедурная программа program план (работы и т. п.); what is the program(me)? разг. ну, чем займемся?; a full program(me) множество занятий, дел program план работы program представление, спектакль program представление program(me) программа program программа program вчт. программа program программа program программировать program вчт. программировать program программировать program вчт. программный program составлять программу program(me) составлять программу или план program attr. программный the program has ended вчт. программа завершила работу program of foreign origin вчт. программа зарубежного производства the program will not load вчт. программа не загрузится proper program вчт. рациональная программа protected program вчт. защищенная программа prototype program вчт. макетная программа quality program программа обеспечения качества quality test program программа контроля качества rat's nest program вчт. бессистемная программа read-in program вчт. программа вводимая по требованию reentrant program вчт. повторно входимая программа relocatable program вчт. перемещаемая программа resident program вчт. резидентная программа reusable program вчт. многократно используемая программа robust program вчт. живучая программа run-time program вчт. рабочая программа sales development program программа мер по увеличению объема продаж sample program вчт. пример программы self-contained program вчт. независимая программа self-loading program вчт. самозагружаемая программа self-test program вчт. программа с самоконтролем service program comp. обслуживающая программа service program вчт. сервисная программа shareable program вчт. совместно используемая программа shareware program вчт. условно бесплатная программа shell program вчт. программная оболочка simulation program вчт. моделирующая программа simulator program comp. моделирующая программа simulator program comp. программа моделирования single-threaded program вчт. последовательная программа slave program вчт. подчиненная программа software program вчт. программа системы программного обеспечения sort program comp. программа сортировки source program comp. входная программа source program вчт. исходная программа source program comp. исходная программа spaghetti program вчт. макаронная программа specialized audit program специальная программа проверки sponsored program финансируемая программа spreadsheet program вчт. программа табличных вычислений star program вчт. безошибочная программа stochastic program вчт. стохастическая программа stored program вчт. хранимая программа structured program вчт. структурированная программа supervisor program вчт. управляющая программа support program программа поддержки support program вчт. служебная программа target program вчт. программа на выходном языке terminating program вчт. нециклическая программа test program вчт. программа испытаний test program вчт. программа контроля test program вчт. тестовая программа throwaway program вчт. программа для временного использования total-load program вчт. автономная программа translating program вчт. транслирующая программа translating program вчт. транслятор trouble-shooting program вчт. диагностическая прграмма unmaintable program вчт. программа неудобная в использовании unreadable program вчт. нечитаемая программа updated program вчт. скорректированная программа user program вчт. пользовательская программа utility program вчт. обслуживающая программа utility program вчт. утилита program план (работы и т. п.); what is the program(me)? разг. ну, чем займемся?; a full program(me) множество занятий, дел wired-in program вчт. зашитая программа work program программа работ work program производственный план -
86 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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