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1 in the field of science
English-russian dctionary of diplomacy > in the field of science
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2 European cooperation in the field of science and technology
Универсальный англо-русский словарь > European cooperation in the field of science and technology
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3 in the field of art
in the field of art (of science) в сфере искусства (науки)English-Russian combinatory dictionary > in the field of art
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4 ♦ field
♦ field /fi:ld/n.3 ( sport) campo; terreno di gioco: football field, campo di (o da) calcio; sports field, campo da gioco; to take the field, scendere in campo4 ( sport: the field) i concorrenti; i partecipanti; gli atleti in campo; il gruppo; i corridori: a good field, una schiera di ottimi concorrenti; to lead the field, guidare il gruppo; essere in testa; (fig.) essere il primo, guidare la classifica8 (geol., spesso in combinazione) bacino; giacimento: gold field, bacino aurifero; coalfield, bacino carbonifero; oilfield, giacimento petrolifero; bacino petrolifero9 distesa; campo: a field of ice (o an ice field) una distesa di ghiaccio; snow field, distesa (o campo) di neve10 (fig.) campo ( di studio, di attività); campo d'azione; area; settore; branca: the field of science [of art], il campo della scienza [dell'arte]; She's the best in her field, è la migliore nel suo campo; What's your field?, di che cosa ti occupi?; That's outside my field, esula dal mio campo; field research [studies], ricerca [studi] sul campo11 (tecn., scient.) campo: (fis.) magnetic [gravitational] field, campo magnetico [gravitazionale]; (fis.) electromagnetic field, campo elettromagnetico; (fis.) force field, campo di forze; (fisiol., med.) field of view (o field of vision) campo visivo12 (elettron.) semiquadro14 (arald., numism.) campo● (mil.) field allowance, soprassoldo, indennità di campagna ( pagata agli ufficiali) □ (mil.) field artillery, artiglieria da campo (o campale) □ (bot.) field balm ( Satureja nepeta), mentuccia □ (mil.) field battery, batteria da campo (o campale) □ field book, taccuino da agrimensore □ field boots, stivali militari al ginocchio □ (elettr.) field coil, avvolgimento di campo; bobina eccitatrice □ ( USA) field corn, granturco usato come mangime □ (zool.) field cricket ( Gryllus campestris), grillo □ field day, (mil.) giorno delle grandi manovre; ( a scuola) giornata passata all'aperto ( per fare dello sport, studiare la natura, ecc.); (estens.) giornata di grande attività □ (fam.) to have a field day, fare qc. con grande entusiasmo; divertirsi un mondo (a fare qc.); ( anche) buttarsi a pesce su q., andarci a nozze: We had a field day in town, abbiamo fatto un sacco di cose in città; The press had a field day with her divorce, la stampa si è buttata a pesce sul suo divorzio □ field dressing, pacco di medicazioni d'emergenza □ (elettr.) field-effect transistor, transistor a effetto di campo □ (fis.) field emission, emissione di campo □ field engineer, ingegnere di cantiere; (comput.) tecnico per l'assistenza presso il cliente □ ( sport) field events, (gare di) atletica leggera ( non su pista) □ (market.) field force, gruppo d'intervistatori □ field glasses, binocolo (da campagna) □ ( sport) field goal, ( basket) canestro segnato su azione; ( football americano) calcio piazzato, messo a segno □ field guide, guida ( libro) alle caratteristiche naturali ( di una regione) □ (mil.) field gun, cannone da campagna □ ( USA) field hand, bracciante agricolo □ ( sport) field hockey, hockey su prato □ (med. mil.) field hospital, ospedale da campo □ ( sport) field house, edificio degli spogliatoi □ field ice, banchisa □ (market.) field investigation, indagine esterna □ ( sport) field judge, giudice di campo □ (org. az.) field manager, direttore di zona □ (mil., in GB) field marshal, ‘field marshal’ ( è il grado più alto dell'esercito; non ha equivalente in Italia) □ field mouse, topo campagnolo □ field mushroom, (fungo) prataiolo □ (mil.) field of fire, campo di fuoco (o di tiro) □ (org. az.) field office, ufficio di zona; ufficio distaccato □ (mil.) field officer, ufficiale superiore □ (aeron.) field personnel, personale a terra □ field preacher, predicatore ambulante □ (mil.) field rank, grado superiore □ field scientist, scienziato impegnato in ricerche sul campo □ ( basket) field shot, tiro da due (o da tre) □ ( sport) field sports, caccia e pesca □ field staff, personale esterno ( che lavora fuori sede) □ field study, ricerca sul campo □ field telephone, telefono da campo □ field test, prova (o test) sul campo; collaudo in condizioni reali di utilizzo □ field trip, viaggio per ricerche sul campo; gita (scolastica) di istruzione □ ( baseball) field umpire, secondo arbitro □ (zool.) field vole ( Microtus arvalis), topo campagnolo comune □ ( sport e fig.) ahead of the field, in testa a tutti; primo □ (agric.) to burn off the fields, bruciare le stoppie □ to give fair field and no favour, concedere campo franco e sicuro; assicurare condizioni di parità a due concorrenti □ to hold the field, tenere (o dominare) il campo □ in the field, (mil.) sul campo; (rif. ad attività lavorativa) sul campo, fuori dell'ufficio (o dell'azienda, ecc.) □ to keep the field, (mil.) restare in campo; (fig.) non abbandonare un'attività (o una gara) □ (fam. USA) out in left field, completamente fuori strada □ (fam. USA) out of left field, all'improvviso; di punto in bianco □ (fam.) to play the field, correre la cavallina; passare da un'avventura all'altra.(to) field /fi:ld/A v. t.1 (mil.) mettere in campo, schierare5 (fig.) rispondere (abilmente) a ( domande, ecc.); tener testa a: I had to field a barrage of questions, dovetti rispondere a un fuoco di fila di domandeB v. i. -
5 field
§ მინდორი, ველი; დარგი, სფერო; ასპარეზი; რაიონი, ოლქი§1 მინდორი, ველი2 სფერო, დარგი, სარბიელიin the field of science / art მეცნიერების / ხელოვნრბის დარშიwhat’s your field? რა დარგში მოღვაწეობ?a field / branch of science მეცნიერების დარგიthe road weaves through the fields გზა მინდვრებში მიიკლაკნება.field / artificial flowers მინდვრის / ხელოვნური ყვავილებიit was an open field and provided no cover for the troops ტრიალი მინდორი იყო და ჯარს თავშესაფარი არ გააჩნდა -
6 field
fi:ld
1. сущ.
1) а) поле;
луг The horses were turned loose in the field. ≈ Лошадей пустили пастись на луг. in a field ≈ в поле to plow a field ≈ пахать поле to till, work a field ≈ возделывать землю corn field ≈ поле wheat field ≈ пшеничное поле Syn: meadow, grassland, pasture, grazing land, lea, mead;
lawn, green, common, yard, acreage;
heath, clearing б) большое, широкое пространство, протяжение dune field ≈ дюны;
пустыня ice field ≈ ледяное поле field of clouds ≈ большое скопление облаков в) пространство, область (по отношению к нематериальным объектам) the whole field of English history ≈ вся английская история He discloses to us the whole field of his ignorance. ≈ Он раскрывает нам всю глубину своего невежества.
2) спорт а) поле, спортивная площадка Soccer is played on a rectangular field. ≈ В футбол играют на прямоугольном поле. to take the field ≈ занять площадку baseball field ≈ бейсбольное поле football field, soccer field ≈ футбольное поле playing field ≈ игровое поле Syn: arena, turf, court, course, diamond;
lists б) участники состязания: все или за исключением сильнейших
3) поле сражения, поле боя;
театр военных действий;
редк. битва, сражение The general serves better in the field than at a desk. ≈ Генерал приносит больше пользы на поле битвы, чем за столом. in the field ≈ на войне, в походе;
в полевых условиях to hold the field ≈ удерживать позиции to keep the field ≈ продолжать сражение to leave the field ≈ отступить hard-fought field ≈ серьезное сражение conquer the field enter the field field of honour Syn: battlefield, battle-ground, front, theater of war
4) аэродром on the field ≈ на взлетной полосе flying field ≈ летное поле
5) геол. месторождение( преим. в сложных словах, напр., diamond-fields, gold-fields) coal field ≈ угольное месторождение gold field ≈ золотой прииск oil field ≈ нефтяное месторождение
6) область, сфера, поле деятельности She is a leader in the field of cosmetics. ≈ Она является лидером в области косметики. in the field of science ≈ в области науки Syn: realm, domain, province, territory, region, area, sphere, department;
occupation, profession, calling, line
7) поле действия The optometrist will examine your field of vision. ≈ Оптик измерит ваше поле зрения. magnetic field ≈ магнитное поле visual field, field of view ≈ поле зрения Syn: scope, range, area, extent, reach, expanse, sweep, stretch, orbit, circle, spectrum
8) а) геральдика поле или часть поля( щита) б) фон, грунт( картины и т. п.) в) гладкая сторона монеты
2. прил.
1) полевой;
производимый в полевых условиях Our teachers took us on field trips to observe plants and animals, firsthand. ≈ Наши учителя водили нас на экскурсии в поля, чтобы мы вели наблюдения, прежде всего, за растениями и животными.
2) полевой (растущий в поле или имеющий поле в качестве места обитания) field flowers ≈ полевые цветы
3. гл.
1) поймать мяч и отбросить своему игроку (в крикете)
2) выпускать на поле field a team ≈ выпустить команду на поле field an army ≈ выдвигать армию (в район сражения)
3) а) выставлять( на соревнования, в кандидаты) б) играть полевым игроком (в крикете)
4) отвечать экспромтом The senator fielded the reporters' questions. ≈ Сенатор не задумываясь отвечал на вопросы репортеров. поле, луг - * of wheat поле пшеницы - flowers of the * полевые цветы - in the *s в поле большое пространство - * of ice ледяное поле - *s of snow снежные поля площадка, участок (для какой-л. цели) - flying * летное поле;
аэродром - auxiliary * вспомогательный аэродром - stage * промежуточный аэродром - bleaching * площадка для отбелки холста (спортивное) площадка - athletic стадион, спортивная площадка - jumping * дорожка для прыжков - the teams are coming onto the * команды выходят на площадку /на поле/ (собирательнле) (спортивное) игроки, участники состязания - to bet /to back, to lay/ against the * держать пари, делать ставку( на лошадь и т. п.) - were you among the *? вы были среди участников? (геология) месторождение - diamond *s алмазные копи - gold *s золотые прииски поле сражения, поле битвы - in the * в походе, на войне;
в действующей армии, в полевых условиях - to take the * начинать военные действия - to hold the * удерживать позиции - to hold the * against smb. (образное) оставить за собой поле боя, не сдаться - to lose the * проигрывать сражение - to pitch /to set/ a * выбрать поле сражения;
расположить войска для себя - to withdraw from the * отступить с поля сражения;
оставить поле сражения - * of honour (возвышенно) поле чести (о месте дуэли или поле сражения) битва, сражение - a hard-fought * жестокая битва - to win the * одержать победу;
взять верх - to enter the * вступать в борьбу /в соревнование/;
вступать в спор - to leave smb. the * потерпеть поражение в споре или состязании с кем-л. (военное) район развертывания область, сфера деятельности - * of action поле деятельности - a wide * for trade широкие возможности для торговли - to be eminent in one's * быть выдающимся человеком в своей области - he's the best man in his * он лучший специалист в своей области - this is not my * это не моя область /специальность/ - what's your *? какова ваша специальность? (специальное) поле, область - * of attraction поле притяжения - * of definition (математика) поле определения - * of events( математика) поле событий - * of a relation( математика) поле отношения - * of view поле зрения - magnetic * магнитное поле - the * of a telescope поле зрения телескопа - * of vision поле зрения (оптического прибора) ;
зона видимости (геральдика) поле щита (искусство) фон, грунт (картины) гладкая сторона монеты (телевидение) кадр > fair * and no favour равные шансы для всех;
игра или борьба на равных условиях > to leave smb. a clear * предоставить кому-л. свободу действий > to leave the * open воздерживаться от вмешательства > out in left * (американизм) рехнувшийся;
не в своем уме > to lead the * идти или ехать верхом во главе охотников > to be late in the * опоздать, прийти слишком поздно;
прийти к шапочному разбору полевой - * flowers полевые цветы - * crop (сельскохозяйственное) полевая культура - * stack( сельскохозяйственное) хлебный скирд производимый в полевых условиях - * test внелабораторное, полевое испытание эксплуатационные исследования периферийный, работающий на периферии выездной;
разъездной - * arrangement организация работы на местах - * agent местный агент( разведки и т. п.) (военное) (военно-) полевой - * army полевая армия - * hygiene военно-полевая гигиена, военно-санитарное дело - * force(s) (военное) полевые войска;
действующая армия - * fortification полевое укрепление - * firing боевые стрельбы - * jacket полевая куртка - * order боевой приказ - * security контрразведка в действующих войсках - * service служба в действующей армии;
обслуживание войск - * message боевое распоряжение - * base /depot/ полевой склад - * dressing первая перевязка на поле боя (спортивное) относящийся к легкой атлетике принимать мяч (крикет) сушить (зерно и т. п.) на открытом воздухе выставлять, выдвигать - to * candidates for elections выдвигать кандидатов на выборах делать ставку (на лошадь и т. п.) ;
держать пари отвечать без подготовки, экспромтом - to * questions отвечать на вопросы, особ. неожиданные (о докладчике, лекторе) - to * numerous phone calls tactfully тактично отделываться от многочисленных звонков по телефону( спортивное) выпустить на поле, выставить( игроков) - the school *s two football teams от школы выступают две футбольные команды address ~ вчт. поле адреса alphanumeric ~ вчт. алфавитно-цифровое поле analog ~ вчт. аналоговая техника argument ~ вчт. поле операнда bias ~ вчт. поле подмагничивания byte index ~ вчт. поле индекса байта command ~ вчт. поле команды comments ~ вчт. поле комментариев common ~ вчт. общее поле ~ of honour поле битвы;
to conquer the field одержать победу;
перен. тж. взять верх в споре control ~ вчт. контрольное поле control-data ~ вчт. поле управляющих данных count ~ вчт. поле счета data ~ вчт. поле данных decrement ~ вчт. поле декремента derived ~ вчт. производное поле destination ~ вчт. поле адреса digital ~ вчт. цифровая техника discrete ~ вчт. дискретное устройство display ~ вчт. поле экрана edit ~ вчт. поле редактирования to enter the ~ вступать в борьбу;
перен. тж. вступать в соревнование, вступать в спор;
to hold the field удерживать позиции extension ~ вчт. поле расширения field эл. возбуждение( тока) ~ все участники состязания или все, за ислючением сильнейших ~ геол. месторождение (преим. в сложных словах, напр., diamond-fields, goldfields) ~ месторождение ~ область, сфера деятельности, наблюдения;
in the whole field of our history на всем протяжении нашей истории ~ область, сфера деятельности ~ область деятельности ~ периферия бизнеса ~ поле;
луг;
большое пространство ~ вчт. поле ~ поле ~ поле действия;
field of view (или vision) поле зрения;
magnetic field магнитное поле ~ геральд. поле или часть поля (щита) ~ поле сражения;
сражение;
a hard-fought field серьезное сражение;
in the field на войне, в походе;
в полевых условиях ~ полевой;
field force(s) действующая армия;
field fortification(s) полевые укрепления ~ район сбыта ~ спортивная площадка ~ участок ~ фон, грунт (картины и т. п.) ~ ambulance воен. медицинский отряд ~ ambulance воен. санитарная машина ~ equipment кинопередвижка ~ equipment полевое оборудование ~ equipment походное снаряжение;
field service(s) воен. хозяйственные подразделения ~ events pl соревнования по легкоатлетическим видам спорта (исключая бег) ~ полевой;
field force(s) действующая армия;
field fortification(s) полевые укрепления ~ полевой;
field force(s) действующая армия;
field fortification(s) полевые укрепления ~ magnet возбуждающий магнит;
field theory мат. теория поля ~ of activity поле деятельности ~ of activity сфера деятельности ~ of application область применения ~ of honour место дуэли ~ of honour поле битвы;
to conquer the field одержать победу;
перен. тж. взять верх в споре ~ of law область права ~ of study область изучения ~ поле действия;
field of view (или vision) поле зрения;
magnetic field магнитное поле ~ security контрразведка в действующей армии ~ equipment походное снаряжение;
field service(s) воен. хозяйственные подразделения service: field ~ обслуживание на месте продажи ~ magnet возбуждающий магнит;
field theory мат. теория поля ~ trial испытания служебных собак в полевых условиях fixed-length ~ вчт. поле фиксированной длины flag ~ вчт. поле признака free ~ вчт. поле произвольных размеров ~ поле сражения;
сражение;
a hard-fought field серьезное сражение;
in the field на войне, в походе;
в полевых условиях to enter the ~ вступать в борьбу;
перен. тж. вступать в соревнование, вступать в спор;
to hold the field удерживать позиции hollerith ~ вчт. поле текстовых данных housing ~ полит.эк. район жилой застройки image ~ вчт. поле изображения ~ поле сражения;
сражение;
a hard-fought field серьезное сражение;
in the field на войне, в походе;
в полевых условиях ~ область, сфера деятельности, наблюдения;
in the whole field of our history на всем протяжении нашей истории input ~ вчт. область ввода instruction ~ вчт. поле команды insurance ~ область страхования integer ~ вчт. поле целых чисел intrinsic ~ вчт. внутреннее поле jack ~ вчт. наборное поле to keep the ~ продолжать сражение;
to leave the field отступить;
потерпеть поражение key ~ вчт. ключевое поле key ~ вчт. поле ключа label ~ вчт. поле метки landing ~ посадочная площадка;
аэродром to keep the ~ продолжать сражение;
to leave the field отступить;
потерпеть поражение ~ поле действия;
field of view (или vision) поле зрения;
magnetic field магнитное поле mining ~ минное поле numeric ~ вчт. числовое поле oil ~ месторождение нефти oil ~ нефтяной промысел operand ~ вчт. поле операнда operation ~ вчт. поле команды outlying ~ далекое поле picture ~ вчт. поле изображения protected ~ вчт. защищенное поле scalar ~ вчт. скалярное поле source ~ вчт. исходное поле tag ~ вчт. поле признака unprotected ~ вчт. незащищенное поле variable ~ вчт. поле переменной variable ~ вчт. поле переменной длины variable-length ~ вчт. поле переменной длины variant ~ вчт. поле признака -
7 science
n- allied sciences
- applied science
- calling for science
- Christian Science
- creation science
- cutting-edge science
- doctor of science
- economic science
- exact science
- fundamental sciences
- historical sciences
- information science
- life sciences
- man of science
- march of science
- military science
- natural science
- occult sciences
- physical sciences
- political science
- related sciences
- Sc. D.
- shrine of science
- social science
- specialized science
- technical sciences
- theoretical sciences -
8 field
[fiːld] 1. сущ.1)а) поле; лугto till / work a field — возделывать землю
The horses were turned loose in the field. — Лошадей выпустили побегать в поля.
Syn:б) большое, широкое пространство, протяжениеdune field — дюны; пустыня
2) пространство, область ( по отношению к нематериальным объектам)He discloses to us the whole field of his ignorance. — Он раскрывает нам всю глубину своего невежества.
3) спорт. поле, спортивная площадкаfootball / soccer field — футбольное поле
Soccer is played on a rectangular field. — В футбол играют на прямоугольном поле.
Syn:4) спорт. участники состязания, игроки ( все или за исключением сильнейших)5) поле сражения, поле боя; театр военных действий; битва, сражениеin the field — на войне, в походе; в полевых условиях
- conquer the fieldThe general serves better in the field than at a desk. — Генерал приносит больше пользы на поле битвы, чем за письменным столом.
- enter the fieldSyn:6) аэродром7) геол. месторождение8) область, сфера, поле деятельностиShe is a leader in the field of cosmetics. — Она является лидером в области косметики.
Syn:realm, domain, province, territory, region, area, sphere, department, occupation, profession, calling, lineThe optometrist will examine your field of vision. — Оптик измерит ваше поле зрения.
visual field, field of view — поле зрения
Syn:11) иск. фон, грунт (картины и т. п.)2. прил.1) полевой; в полевых условиях3. гл.Our teachers took us on field trips to observe plants and animals, firsthand. — Наши учителя водили нас на экскурсии в поля, чтобы мы вели наблюдения, прежде всего, за растениями и животными.
2) выставлять (на соревнования, в кандидаты)The senator fielded the reporters' questions. — Сенатор не задумываясь отвечал на вопросы репортёров.
4) спорт. поймать мяч и отбросить своему игроку (в крикете, бейсболе)5) спорт. играть полевым игроком (в крикете, бейсболе) -
9 field
n1) область, сфера деятельности• -
10 field
1) по́ле с2) сфе́ра ж; по́прище сin the field of science — в о́бласти нау́ки
3) перифери́я жat the headquarters and in the field — в це́нтре и на места́х
- field eventwe have sixteen reps in the field — у нас есть шестна́дцать представи́телей на места́х (в ме́стных филиа́лах на́шей фи́рмы)
- field glasses
- field hand
- field hockey
- field marshal
- field officer
- field of view
- field of vision
- field staff
- field trip -
11 field
[fi:ld] n դաշտ, մեծ տարածություն. open/ green/fertile/magnetic/corn field բաց/կա նաչ /բերրի/մագնիսական/եգիպտացորենի դաշտ field of vision տեսադաշտ. field of battle պատե րազմի դաշտ. in the field պատերազմում. (բնագավառ, ասպարեզ, ոլորտ) in the field of art/science արվեստի/գիտության բնագա վառում. field mission գործնեության վայր գործուղելը. a specialist in many fields տարբեր բնագավառների մասնագետ. field of application կիրառության ոլորտ. մրզ. playing field խաղադաշտ. athletic field մարզադաշտ. the field խաղացողները, մրցման մասնակիցները. back the field գրազ գալ (մրցման մասնա կից ների վրա). (դաշտային) field flowers/glas ses/ hospital/ hockey դաշտային ծաղիկներ/երկ դիտակ/հիվանդանոց/հոկեյ, field work երկրբ., հնգ. դաշտային աշխատանքներ/նկար ահա նում. field studies իրավիճակի ուսում նասիրություն. field officer բարձրաստիճան սպա -
12 Cognitive Science
The 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.... [P]eople and intelligent computers turn out to be merely different manifestations of the same underlying phenomenon. (Haugeland, 1981b, p. 31)2) Experimental Psychology, Theoretical Linguistics, and Computational Simulation of Cognitive Processes Are All Components of Cognitive ScienceI went away from the Symposium with a strong conviction, more intuitive than rational, that human experimental psychology, theoretical linguistics, and computer simulation of cognitive processes were all pieces of a larger whole, and that the future would see progressive elaboration and coordination of their shared concerns.... I have been working toward a cognitive science for about twenty years beginning before I knew what to call it. (G. A. Miller, 1979, p. 9)Cognitive Science studies the nature of cognition in human beings, other animals, and inanimate machines (if such a thing is possible). While computers are helpful within cognitive science, they are not essential to its being. A science of cognition could still be pursued even without these machines.Computer Science studies various kinds of problems and the use of computers to solve them, without concern for the means by which we humans might otherwise resolve them. There could be no computer science if there were no machines of this kind, because they are indispensable to its being. Artificial Intelligence is a special branch of computer science that investigates the extent to which the mental powers of human beings can be captured by means of machines.There could be cognitive science without artificial intelligence but there could be no artificial intelligence without cognitive science. One final caveat: In the case of an emerging new discipline such as cognitive science there is an almost irresistible temptation to identify the discipline itself (as a field of inquiry) with one of the theories that inspired it (such as the computational conception...). This, however, is a mistake. The field of inquiry (or "domain") stands to specific theories as questions stand to possible answers. The computational conception should properly be viewed as a research program in cognitive science, where "research programs" are answers that continue to attract followers. (Fetzer, 1996, pp. xvi-xvii)What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.The psychologist who studies "knowledge systems" wants to know how concepts are structured in the human mind, how such concepts develop, and how they are used in understanding and behavior. The artificial intelligence researcher wants to know how to program a computer so that it can understand and interact with the outside world. The two orientations intersect when the psychologist and the computer scientist agree that the best way to approach the problem of building an intelligent machine is to emulate the human conceptual mechanisms that deal with language.... The name "cognitive science" has been used to refer to this convergence of interests in psychology and artificial intelligence....This working partnership in "cognitive science" does not mean that psychologists and computer scientists are developing a single comprehensive theory in which people are no different from machines. Psychology and artificial intelligence have many points of difference in methods and goals.... We simply want to work on an important area of overlapping interest, namely a theory of knowledge systems. As it turns out, this overlap is substantial. For both people and machines, each in their own way, there is a serious problem in common of making sense out of what they hear, see, or are told about the world. The conceptual apparatus necessary to perform even a partial feat of understanding is formidable and fascinating. (Schank & Abelson, 1977, pp. 1-2)Within the last dozen years a general change in scientific outlook has occurred, consonant with the point of view represented here. One can date the change roughly from 1956: in psychology, by the appearance of Bruner, Goodnow, and Austin's Study of Thinking and George Miller's "The Magical Number Seven"; in linguistics, by Noam Chomsky's "Three Models of Language"; and in computer science, by our own paper on the Logic Theory Machine. (Newell & Simon, 1972, p. 4)Historical dictionary of quotations in cognitive science > Cognitive Science
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13 behavioral science
HRacademic disciplines such as sociology and psychology that relate to the study of the way in which humans conduct themselves. In the field of management, the behavioral sciences are used to study organization behavior. -
14 decision science
Общая лексика: методы поддержки принятия решений/ поддержка принятия р (The interdisciplinary field of Decision Science seeks to understand and improve judgment and decision making of individuals, groups, and organizations) -
15 Clerk, Sir Dugald
[br]b. 31 March 1854 Glasgow, Scotlandd. 12 November 1932 Ewhurst, Surrey, England[br]Scottish mechanical engineer, inventor of the two-stroke internal combustion engine.[br]Clerk began his engineering training at about the age of 15 in the drawing office of H.O.Robinson \& Company, Glasgow, and in his father's works. Meanwhile, he studied at the West of Scotland Technical College and then, from 1871 to 1876, at Anderson's College, Glasgow, and at the Yorkshire College of Science, Leeds. Here he worked under and then became assistant to the distinguished chemist T.E.Thorpe, who set him to work on the fractional distillation of petroleum, which was to be useful to him in his later work. At that time he had intended to become a chemical engineer, but seeing a Lenoir gas engine at work, after his return to Glasgow, turned his main interest to gas and other internal combustion engines. He pursued his investigations first at Thomson, Sterne \& Company (1877–85) and then at Tangyes of Birmingham (1886–88. In 1888 he began a lifelong partnership in Marks and Clerk, consulting engineers and patent agents, in London.Beginning his work on gas engines in 1876, he achieved two patents in the two following years. In 1878 he made his principal invention, patented in 1881, of an engine working on the two-stroke cycle, in which the piston is powered during each revolution of the crankshaft, instead of alternate revolutions as in the Otto four-stroke cycle. In this engine, Clerk introduced supercharging, or increasing the pressure of the air intake. Many engines of the Clerk type were made but their popularity waned after the patent for the Otto engine expired in 1890. Interest was later revived, particularly for application to large gas engines, but Clerk's engine eventually came into its own where simple, low-power motors are needed, such as in motor cycles or motor mowers.Clerk's work on the theory and design of gas engines bore fruit in the book The Gas Engine (1886), republished with an extended text in 1909 as The Gas, Petrol and Oil Engine; these and a number of papers in scientific journals won him international renown. During and after the First World War, Clerk widened the scope of his interests and served, often as chairman, on many bodies in the field of science and industry.[br]Principal Honours and DistinctionsKnighted 1917; FRS 1908; Royal Society Royal Medal 1924; Royal Society of Arts Alber Medal 1922.Further ReadingObituary Notices of Fellows of the Royal Society, no. 2, 1933.LRD -
16 Talbot, William Henry Fox
SUBJECT AREA: Photography, film and optics[br]b. 11 February 1800 Melbury, Englandd. 17 September 1877 Lacock, Wiltshire, England[br]English scientist, inventor of negative—positive photography and practicable photo engraving.[br]Educated at Harrow, where he first showed an interest in science, and at Cambridge, Talbot was an outstanding scholar and a formidable mathematician. He published over fifty scientific papers and took out twelve English patents. His interests outside the field of science were also wide and included Assyriology, etymology and the classics. He was briefly a Member of Parliament, but did not pursue a parliamentary career.Talbot's invention of photography arose out of his frustrating attempts to produce acceptable pencil sketches using popular artist's aids, the camera discura and camera lucida. From his experiments with the former he conceived the idea of placing on the screen a paper coated with silver salts so that the image would be captured chemically. During the spring of 1834 he made outline images of subjects such as leaves and flowers by placing them on sheets of sensitized paper and exposing them to sunlight. No camera was involved and the first images produced using an optical system were made with a solar microscope. It was only when he had devised a more sensitive paper that Talbot was able to make camera pictures; the earliest surviving camera negative dates from August 1835. From the beginning, Talbot noticed that the lights and shades of his images were reversed. During 1834 or 1835 he discovered that by placing this reversed image on another sheet of sensitized paper and again exposing it to sunlight, a picture was produced with lights and shades in the correct disposition. Talbot had discovered the basis of modern photography, the photographic negative, from which could be produced an unlimited number of positives. He did little further work until the announcement of Daguerre's process in 1839 prompted him to publish an account of his negative-positive process. Aware that his photogenic drawing process had many imperfections, Talbot plunged into further experiments and in September 1840, using a mixture incorporating a solution of gallic acid, discovered an invisible latent image that could be made visible by development. This improved calotype process dramatically shortened exposure times and allowed Talbot to take portraits. In 1841 he patented the process, an exercise that was later to cause controversy, and between 1844 and 1846 produced The Pencil of Nature, the world's first commercial photographically illustrated book.Concerned that some of his photographs were prone to fading, Talbot later began experiments to combine photography with printing and engraving. Using bichromated gelatine, he devised the first practicable method of photo engraving, which was patented as Photoglyphic engraving in October 1852. He later went on to use screens of gauze, muslin and finely powdered gum to break up the image into lines and dots, thus anticipating modern photomechanical processes.Talbot was described by contemporaries as the "Father of Photography" primarily in recognition of his discovery of the negative-positive process, but he also produced the first photomicrographs, took the first high-speed photographs with the aid of a spark from a Leyden jar, and is credited with proposing infra-red photography. He was a shy man and his misguided attempts to enforce his calotype patent made him many enemies. It was perhaps for this reason that he never received the formal recognition from the British nation that his family felt he deserved.[br]Principal Honours and DistinctionsFRS March 1831. Royal Society Rumford Medal 1842. Grand Médaille d'Honneur, L'Exposition Universelle, Paris, 1855. Honorary Doctorate of Laws, Edinburgh University, 1863.Bibliography1839, "Some account of the art of photographic drawing", Royal Society Proceedings 4:120–1; Phil. Mag., XIV, 1839, pp. 19–21.8 February 1841, British patent no. 8842 (calotype process).1844–6, The Pencil of Nature, 6 parts, London (Talbot'a account of his invention can be found in the introduction; there is a facsimile edn, with an intro. by Beamont Newhall, New York, 1968.Further ReadingH.J.P.Arnold, 1977, William Henry Fox Talbot, London.D.B.Thomas, 1964, The First Negatives, London (a lucid concise account of Talbot's photograph work).J.Ward and S.Stevenson, 1986, Printed Light, Edinburgh (an essay on Talbot's invention and its reception).H.Gernsheim and A.Gernsheim, 1977, The History of Photography, London (a wider picture of Talbot, based primarily on secondary sources).JWBiographical history of technology > Talbot, William Henry Fox
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17 worthy
Adj1. योग्यThe student is worthy of praise for his hard work.--------N1. माननीय\worthyव्यक्तिHe is noble and worthy, for his contribution in the field of science is immense. -
18 putative
Adj1. ख्यातEinsteen is a putative personality in the field of science. -
19 luminary
['luːmɪnərɪ] [AE -nerɪ]* * *luminary /ˈlu:mɪnərɪ/n.1 (lett. o arc.) astro; corpo luminoso* * *['luːmɪnərɪ] [AE -nerɪ] -
20 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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The Value of Science — is a book by the French mathematician, physicist, and philosopher Henri Poincaré. It was published in 1905. The book deals with questions in the philosophy of science and adds detail to the topics addressed by Poincaré s previous book, Science… … Wikipedia
The Road to Science Fiction — is a series of science fiction anthologies edited by American science fiction author, scholar and editor James Gunn. Written for use in the classroom to teach the evolution of science fiction literature, the series is now available as mass market … Wikipedia
The Field School — Infobox Private School name = The Field School type = Independent School religion = Non sectarian established = 1972 head name = Headmaster head = Dale Johnson city = Washington, D.C. country = USA campus = 20 overall acres 4 buildings enrollment … Wikipedia
Field (computer science) — In computer science, data that has several parts can be divided into fields. Relational databases arrange data as sets of database records, also called rows. Each record consists of several fields; the fields of all records form the columns. In… … Wikipedia
Forecasting and Assessment in the Field of Science and Technology — (FAST) First established in 1978 as a programme for exploring and encouraging collaboration in scientific and technological resarch and development … Glossary of the European Union and European Communities
Theories and sociology of the history of science — The sociology and philosophy of science, as well as the entire field of science studies, have in the 20th century been preoccupied with the question of large scale patterns and trends in the development of science, and asking questions about how… … Wikipedia
Dibner Institute for the History of Science and Technology — The Dibner Institute for the History of Science and Technology (1992–2006) was a research institute established at MIT, and housed in a renovated building (E56) on campus at 38 Memorial Drive, overlooking the Charles River.[1][2][3] At the heart… … Wikipedia
David Adler Lectureship Award in the Field of Materials Physics — The David Adler Lectureship Award in the Field of Materials Physics is a prize that has been awarded annually by the American Physical Society since 1988. The recipient is chosen for an outstanding contributor to the field of materials physics,… … Wikipedia
John J Carty Award for the Advancement of Science — The John J Carty Award for the Advancement of Science is an award granted by the National Academy of Sciences. The award, which appears to be named in honor of its first recipient, is granted in any field of science within the Academy s charter.… … Wikipedia
Science education — is the field concerned with sharing science content and process with individuals not traditionally considered part of the scientific community. The target individuals may be children, college students, or adults within the general public. The… … Wikipedia