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1 complexity degree
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2 complexity degree
The New English-Russian Dictionary of Radio-electronics > complexity degree
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3 degree
1) градус2) матем. степень; порядок3) сорт, качество4) диплом5) степень, уровень; ступень•degrees to port — мор. градусы левого борта
degrees to starboard — мор. градусы правого борта
to some degree — до некоторой степени; в известной мере
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4 degree
1) степеньа) относительная мера; сравнительная величинаг) категория; разряд; ранг2) градусб) единица измерения углов, ˚ (1˚ = 2π/360 рад)в) вчт символ ˚г) условная единица измерения различных величин (напр. жёсткости воды, концентрации кислот и др.)3) ступеньа) стадия; этапб) уровень4) вчт порядок5) кратность•- degree of accuracy
- degree of belief
- degree of blocking
- degree of current rectification
- degree of curve
- degree of degeneracy
- degree of dependence
- degree of differential equation
- degree of discrimination
- degree of dissociation
- degree of fill
- degrees of freedom
- degree of inversion
- degree of ionization
- degree of modulation
- degree of redundancy
- degree of safety
- degree of saturation
- degree of voltage rectification
- abstraction degree
- arc degree
- association degree
- completeness degree
- complexity degree
- confidence degree
- conventional degree of distortion
- correlation degree
- divisor degree
- electrical degree
- manifold degree
- node degree
- operator degree
- ramification degree
- rotational degree of freedom
- spherical degree
- translational degree of freedom
- vertex degree
- vibrational degree of freedom -
5 degree
1) степеньа) относительная мера; сравнительная величинаг) категория; разряд; ранг2) градусб) единица измерения углов, ° (1° = 2π/360 рад)в) вчт. символ °г) условная единица измерения различных величин (напр. жёсткости воды, концентрации кислот и др.)3) ступеньа) стадия; этапб) уровень4) вчт. порядок5) кратность•- arc degree
- association degree
- completeness degree
- complexity degree
- confidence degree
- conventional degree of distortion
- correlation degree
- degree of abstraction
- degree of accuracy
- degree of belief
- degree of blocking
- degree of current rectification
- degree of curve
- degree of degeneracy
- degree of dependence
- degree of differential equation
- degree of discrimination
- degree of dissociation
- degree of fill
- degree of inversion
- degree of ionization
- degree of modulation
- degree of redundancy
- degree of safety
- degree of saturation
- degree of voltage rectification - electrical degree
- manifold degree
- node degree
- operator degree
- ramification degree
- rotational degree of freedom
- spherical degree
- translational degree of freedom
- vertex degree
- vibrational degree of freedomThe New English-Russian Dictionary of Radio-electronics > degree
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6 complexity
2) сложность; коэффициент сложности• -
7 degree of complexity
Большой англо-русский и русско-английский словарь > degree of complexity
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8 degree of complexity
1) Математика: ступень сложности2) Вычислительная техника: сложность, степень сложности, уровень сложности -
9 degree of complexity
English-russian dictionary of physics > degree of complexity
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10 degree of complexity
степень сложностиEnglish-Russian dictionary of technical terms > degree of complexity
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11 degree of complexity
мат.English-Russian scientific dictionary > degree of complexity
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12 degree of complexity
сложность; уровень сложности; степень сложностиEnglish-Russian information technology > degree of complexity
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13 degree of complexity
Англо-русский словарь по исследованиям и ноу-хау > degree of complexity
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14 any degree of complexity, any complexity
Общая лексика: любой сложности (напр: Automatic software installation of any complexity...)Универсальный англо-русский словарь > any degree of complexity, any complexity
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15 the degree of complexity
Математика: степень сложностиУниверсальный англо-русский словарь > the degree of complexity
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16 степень интеграции
complexity, degree of integration, (ИС) integration density, ( в микроэлектронике) complexity factor, integration, integration level, integration scale, scale электрон.Англо-русский словарь технических терминов > степень интеграции
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17 class
̈ɪklɑ:s
1. сущ.
1) а) (общественный) класс working class ≈ рабочий класс middle class ≈ средний класс upper class ≈ крупная буржуазия;
аристократия б) (the classes) имущие классы
2) а) группа, класс ( в колледже, школе) the top of the class ≈ первый ученик( в классе) б) занятие, урок;
курс обучения, курс лекций When is class? ≈ Когда будут занятия? Syn: course
1., session;
lesson
1. в) амер. выпуск( группа студентов или учащихся, поступивших в одном и том же году, прослушавших единый курс обучения и окончивших в одном и том же году) the class of 1975 ≈ выпуск 1975 года class-system ≈ групповая система, система групп (при которой группа проходит единый курс обучения в отличие от 'university system' ≈ университетской системы, при которой такого единого курса нет)
3) воен. призывники одного и того же года рождения
4) отличие;
степень отличия (разделение на основе результатов экзамена) He will be lucky if he gets his class at all. ≈ Ему повезет, если его вообще аттестуют. to get a class, obtain a class ≈ окончить курс с отличием
5) класс, категория, тип;
разряд;
качество, сорт( разделение вещей на основе их достоинств, качества) Pine trees belong to the evergreen class. ≈ Сосны принадлежат к классу вечнозеленых растений. I came by the second class, and so saved the nine shillings. ≈ Я приехал вторым классом и сэкономил девять шиллингов. class of problems ≈ круг вопросов Syn: kind I, sort
1., division, category, group
1.
6) разг. класс, высокое качество;
шик, блеск There's not much class about her. ≈ Ничего классного в ней нет. Real class your sister is. ≈ Твоя сестра просто блеск. no class Syn: distinction, excellence, style
1.
2. прил.
1) классовый class struggle ≈ классовая борьба class morality ≈ классовая мораль
2) учебный, классный (относящийся к занятиям) The class system is essential to energetic common college life. ≈ Классная система полезна для активной общественной жизни в колледже.
3) классификационный
4) разг. шикарный, классный It was a class neighbourhood, thought Foxy, surveying the elegant, freshly-painted houses. ≈ "Отличные соседи", - подумал Фокси, разглядывая элегантные свежевыкрашенные дома.
3. гл.
1) классифицировать, систематизировать Since they can and do successfully inter-breed they cannot be classed as different species. ≈ Так как они могут скрещиваться и успешно это делают, их нельзя относить к разным видам. I class myself as an ordinary working person. ≈ Я отношу себя к обычному рабочему человеку. Syn: classify
2) аттестовать, распределять( студентов или школьников) по степеням отличия (в результате экзаменов) Tompkins obtained a degree, but was not classed. ≈ Томпкинс получил диплом, но без отличия. At a second year's examination Tom was not classed at all. ≈ По итогам экзаменов на втором году обучения Том вообще не был аттестован. ∙ class with( общественный) класс - the working * рабочий класс - the middle * (политэкономия) буржуазия;
среднее сословие;
средний слой общества - the upper * аристократия, дворянство;
высшее сословие, высшие слои общества;
крупная буржуазия - lower middle * мелкая буржуазия;
низы среднего класса;
мещанство, мещане - landed *es помещики, землевладельцы( редкое) имущие классы - the *es and masses все слои общества - to back the masses against the *es поддерживать трудящихся в борьбе против имущих классовый - * society классовое общество - * struggle классовая борьба - * differences классовые различия - * alien классово чуждый элемент класс;
разряд;
группа;
категория;
вид, род - ship's * класс судна - *es of weight( спортивное) весовые категории - open * (спортивное) свободный класс - * of fit (техническое) тип посадки - two *es of poets поэты двух родов - different *es of intellect разный склад ума - a good * of man порядочный человек - a poor * of house плохой дой - the best * of hotel первоклассная гостиница, гостиница высшего разряда - in a * by itself единственный в своем роде;
неподражаемый, неповторимый, незаменимый класс (поезда, парохода) - to travel first * ездить первым классом( морское) тип (корабля) сорт, качество - first * первоклассный, высшего сорта класс ( в школе) ;
группа (в колледже) - the top of the * первый ученик (в классе) - to take a * of beginners взять группу начинающих - listen, *! послушайте, дети! (обращение учителя) - * dismissed! урок окончен!, занятие окончено!;
можете идти! кружок( по изучению чего-л) занятие;
занятия;
курс обучения - to take *es учиться( чему-л) ;
проходить курс обучения (какому-л. предмету) - to take *es in cookery учиться на курсах кулинарии - what time does the * begin? когда начинаются занятия? - when is *? когда начало занятий?, когда приходить в школу? выпуск студентов или учащихся (одного года) ;
- * of 1980 выпуск 1980 года (биология) класс отличие - to get * окончить (курс) с отличием (разговорное) достоинство( поведения) ;
высокие качества (характера) - the new teacher's got real * новая учительница держится с большим достоинством - to be no * (разговорное) ничего не стоить, никуда не годиться - he is no * это человек низкого пошиба (сленг) "класс", шик;
привлекательность - that girl's got *! классная девчонка! (военное) ранг (американизм) (морское) статья;
- seaman 1st * матрос 1-й статьи( военное) призывники одного года рождения - the * of 1937 призывники 1937 года рождения классификационный - * heading широкая рубрика( систематической классификации) - * letter( морское) буква, означающая тип корабля;
(специальное) буква классификационного знака, буква индекса - * mark классификационный знак учебный;
относящийся к классу, к занятиям - * hours учебные часы - * day (американизм) выпускной акт с выступлениями выпускников (школы, колледжа) классифицировать, сортировать - the vessel is *ed A1 at Lloyds регистром Ллойда судну присвоен первый класс причислять - he cannot be *ed amond the best его нельзя отнести к лучшим зачислять в одну категорию, ставить наряду( с чем-л) - to * justice with wisdom ценить справедливость не меньше, чем мудрость присуждать диплом той или иной категории (в результате экзаменов) - Smith got a degree but was not *ed Смит получил диплом, но без отличия abstract ~ вчт. абстрактный класс age ~ возрастная группа annual ~ годичный класс base ~ вчт. базовый класс business ~ бизнес-класс ~ распределять отличия (в результате экзаменов) ;
Tompkins obtained a degree, but was not classed Томпкинс получил степень, но без отличия class вид ~ время начала занятий (в школе) ;
when is class? когда начинаются занятия? ~ амер. выпуск (студентов или учащихся такого-то года) ~ группа ~ занятие ~ категория ~ качество ~ класс (на железной дороге, пароходе) ;
to travel third class ездить в третьем классе ~ класс (в школе) ;
the top of the class первый ученик (в классе) ~ биол. класс ~ класс;
разряд;
группа;
категория;
class of problems круг вопросов ~ класс (общественный) ;
the working class рабочий класс;
the middle class средняя буржуазия ~ вчт. класс ~ класс ~ классифицировать ~ классный ~ классовый;
class alien классово чуждый элемент ~ курс (обучения) ;
to take classes (in) проходить курс обучения (где-л.) ~ курс обучения ~ отличие;
to get (или to obtain) a class окончить курс с отличием ~ воен. призывники одного и того же года рождения;
the 1957 class призывники 1957 года (рождения) ~ воен. призывники одного и того же года рождения;
the 1957 class призывники 1957 года (рождения) ~ разряд ~ распределять отличия (в результате экзаменов) ;
Tompkins obtained a degree, but was not classed Томпкинс получил степень, но без отличия ~ сорт, качество;
in a class by itself первоклассный;
it is no class разг. это никуда не годится ~ сорт ~ сортировать ~ составить себе мнение, оценить;
class with ставить наряду с ~ мор. тип корабля ~ классовый;
class alien классово чуждый элемент ~ ~ вчт. класс классов ~ of creditor in bankruptcy категория неплатежеспособности кредитора ~ of events вчт. класс событий ~ of goods категория товара ~ of goods сорт товара ~ of heir категория наследника ~ of insurance тип страхования ~ класс;
разряд;
группа;
категория;
class of problems круг вопросов ~ of risk степень риска ~ of shares класс акций ~ составить себе мнение, оценить;
class with ставить наряду с the upper ~ крупная буржуазия;
аристократия;
the classes имущие классы classes: classes: equivalence ~ вчт. класс эквивалентности complexity ~ вчт. класс сложности danger ~ категория риска data structure ~ вчт. класс структур данных deep-sea ~ глубоководный класс economy ~ экономический класс environmental ~ категория экологического состояния first ~ торг. первый класс ~ отличие;
to get (или to obtain) a class окончить курс с отличием ~ сорт, качество;
in a class by itself первоклассный;
it is no class разг. это никуда не годится ~ сорт, качество;
in a class by itself первоклассный;
it is no class разг. это никуда не годится job ~ вчт. класс задания lower ~ низший класс lower middle ~ мелкая буржуазия lower middle ~ низы среднего класса lower: ~ middle class мелкая буржуазия;
lower orders низшие сословия, классы media ~ категория средств рекламы ~ класс (общественный) ;
the working class рабочий класс;
the middle class средняя буржуазия middle ~ средний класс middle ~ средний слой naming ~ вчт. класс идентификаторов nonlife ~ категория ущерба object ~ вчт. класс объектов ocean-going ~ океанский класс output ~ вчт. выходной класс poison ~ третий класс privilege ~ вчт. класс привилегий productivity ~ класс продуктивности quality ~ произ. категория качества risk ~ класс риска ruling ~ правящий класс second ~ второй класс share ~ класс акций social ~ социальный класс storage ~ вчт. класс памяти system ~ вчт. системный класс ~ курс (обучения) ;
to take classes (in) проходить курс обучения (где-л.) ~ распределять отличия (в результате экзаменов) ;
Tompkins obtained a degree, but was not classed Томпкинс получил степень, но без отличия ~ класс (в школе) ;
the top of the class первый ученик (в классе) tourist ~ второй класс tourist: ~ attr. туристский, относящийся к туризму, путешествиям;
tourist agency бюро путешествий;
tourist class второй класс (на океанском пароходе или в самолете) traffic ~ вчт. класс трафика travel business ~ путешествовать бизнес-классом travel business ~ путешествовать деловым классом travel economy ~ путешествовать туристическим классом travel first ~ путешествовать первым классом ~ класс (на железной дороге, пароходе) ;
to travel third class ездить в третьем классе the upper ~ крупная буржуазия;
аристократия;
the classes имущие классы upper ~ аристократия upper ~ верхушка общества upper middle ~ верхушка среднего класса middle: the upper (lower) ~ class крупная (мелкая) буржуазия vehicle ~ класс автотранспортного средства ~ время начала занятий (в школе) ;
when is class? когда начинаются занятия? ~ класс (общественный) ;
the working class рабочий класс;
the middle class средняя буржуазия working ~ рабочий класс -
18 class
[̈ɪklɑ:s]abstract class вчт. абстрактный класс age class возрастная группа annual class годичный класс base class вчт. базовый класс business class бизнес-класс class распределять отличия (в результате экзаменов); Tompkins obtained a degree, but was not classed Томпкинс получил степень, но без отличия class вид class время начала занятий (в школе); when is class? когда начинаются занятия? class амер. выпуск (студентов или учащихся такого-то года) class группа class занятие class категория class качество class класс (на железной дороге, пароходе); to travel third class ездить в третьем классе class класс (в школе); the top of the class первый ученик (в классе) class биол. класс class класс; разряд; группа; категория; class of problems круг вопросов class класс (общественный); the working class рабочий класс; the middle class средняя буржуазия class вчт. класс class класс class классифицировать class классный class классовый; class alien классово чуждый элемент class курс (обучения); to take classes (in) проходить курс обучения (где-л.) class курс обучения class отличие; to get (или to obtain) a class окончить курс с отличием class воен. призывники одного и того же года рождения; the 1957 class призывники 1957 года (рождения) class воен. призывники одного и того же года рождения; the 1957 class призывники 1957 года (рождения) class разряд class распределять отличия (в результате экзаменов); Tompkins obtained a degree, but was not classed Томпкинс получил степень, но без отличия class сорт, качество; in a class by itself первоклассный; it is no class разг. это никуда не годится class сорт class сортировать class составить себе мнение, оценить; class with ставить наряду с class мор. тип корабля class классовый; class alien классово чуждый элемент class class вчт. класс классов class of creditor in bankruptcy категория неплатежеспособности кредитора class of events вчт. класс событий class of goods категория товара class of goods сорт товара class of heir категория наследника class of insurance тип страхования class класс; разряд; группа; категория; class of problems круг вопросов class of risk степень риска class of shares класс акций class составить себе мнение, оценить; class with ставить наряду с the upper class крупная буржуазия; аристократия; the classes имущие классы classes: classes: equivalence class вчт. класс эквивалентности complexity class вчт. класс сложности danger class категория риска data structure class вчт. класс структур данных deep-sea class глубоководный класс economy class экономический класс environmental class категория экологического состояния first class торг. первый класс class отличие; to get (или to obtain) a class окончить курс с отличием class сорт, качество; in a class by itself первоклассный; it is no class разг. это никуда не годится class сорт, качество; in a class by itself первоклассный; it is no class разг. это никуда не годится job class вчт. класс задания lower class низший класс lower middle class мелкая буржуазия lower middle class низы среднего класса lower: class middle class мелкая буржуазия; lower orders низшие сословия, классы media class категория средств рекламы class класс (общественный); the working class рабочий класс; the middle class средняя буржуазия middle class средний класс middle class средний слой naming class вчт. класс идентификаторов nonlife class категория ущерба object class вчт. класс объектов ocean-going class океанский класс output class вчт. выходной класс poison class третий класс privilege class вчт. класс привилегий productivity class класс продуктивности quality class произ. категория качества risk class класс риска ruling class правящий класс second class второй класс share class класс акций social class социальный класс storage class вчт. класс памяти system class вчт. системный класс class курс (обучения); to take classes (in) проходить курс обучения (где-л.) class распределять отличия (в результате экзаменов); Tompkins obtained a degree, but was not classed Томпкинс получил степень, но без отличия class класс (в школе); the top of the class первый ученик (в классе) tourist class второй класс tourist: class attr. туристский, относящийся к туризму, путешествиям; tourist agency бюро путешествий; tourist class второй класс (на океанском пароходе или в самолете) traffic class вчт. класс трафика travel business class путешествовать бизнес-классом travel business class путешествовать деловым классом travel economy class путешествовать туристическим классом travel first class путешествовать первым классом class класс (на железной дороге, пароходе); to travel third class ездить в третьем классе the upper class крупная буржуазия; аристократия; the classes имущие классы upper class аристократия upper class верхушка общества upper middle class верхушка среднего класса middle: the upper (lower) class class крупная (мелкая) буржуазия vehicle class класс автотранспортного средства class время начала занятий (в школе); when is class? когда начинаются занятия? class класс (общественный); the working class рабочий класс; the middle class средняя буржуазия working class рабочий класс -
19 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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20 степень сложности
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