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background execution

  • 1 фоновое выполнение

    1. background process
    2. background execution

     

    фоновое выполнение
    Выполнение какого-либо действия (с более низким приоритетом) во время активного функционирования другой программы или другого действия той же программы.
    [ http://www.morepc.ru/dict/]

    Тематики

    EN

    Русско-английский словарь нормативно-технической терминологии > фоновое выполнение

  • 2 фоновое задание

    Русско-английский большой базовый словарь > фоновое задание

  • 3 фоновая программа

    тест; тестовая программа; программа испытаний — test program

    Русско-английский словарь по информационным технологиям > фоновая программа

  • 4 план

    1. plan, scheme, design, project; blue-print
    (разположение на град, жилище, градина) lay out
    (чертеж) blue-print; draught; design
    петгодишен план a five-year plan
    учебен план syllabus, curriculum
    огневи план воен. a fire plan
    план на града map; lay out
    план на съчинение an outline of a composition
    план на действие a plan of action/procedure
    по план according to plan
    без план planlessly, unsystema-tically
    съставям план devise/work out/elaborate a plan/project/scheme
    снемам план на make a plan of
    снемам от план a remove/cancel s.th. from the plan
    цифри по плана target figures
    2. изк. преден план foreground
    среден план second/middle distance
    заден план background
    едър план кино, телев. close-up
    излизам на преден план прен. come to the fore
    оставам на заден план прен. be put aside, be shelved
    отстъпвам на заден план прен. recede into the background
    слагам нещо на заден план прен. lay s.th. aside, shelve s.th.
    3. (намерение) plan, intention
    съвпадам с плановете на някого suit a person's book
    какви са ти плановете за утре? what are your plans for tomorrow? what are you planning to do tomorrow?
    кроя планове за make plans for
    разстройвам/обърквам плановете на някого spoil/upset s.o.'s plans; upset s.o.'s applecart
    нямам планове have no plans, have nothing in prospect
    4. (в литературата) aspect, angle, level, light
    на този план at this level
    в друг план from a different angle, in a different angle, in a different light
    * * *
    м., -ове, (два) пла̀на 1. plan, scheme, design, project; blue-print; ( разположение на град, жилище, градина) lay-out; ( чертеж) blue-print; draught; design; благоустройствен \план structure plan; генерален \план master plan; действам без \план muddle on; \план на съчинение an outline of a composition; по \план as planned; съставям \план devise/work out/elaborate a plan/project/scheme; учебен \план syllabus, curriculum;
    2. изк.: едър \план кино., тв close-up; заден \план background; излизам на преден \план прен. come to the fore; общ \план кино. general context; оставам на заден \план прен. be put aside, be shelved; отстъпвам на заден \план прен. recede into the background; преден \план foreground; слагам нещо на заден \план прен. lay s.th. aside, shelve s.th.;
    3. ( намерение) plan, intention; разстройвам/обърквам \плановете на някого spoil/upset s.o.’s plans; upset s.o.’s applecart;
    4. (в литературата) aspect, angle, level, light; в друг \план in a different light.
    * * *
    plan: What are your планs for the weekend? - Какви са плановете ти за уикенда?, work out a план - съставям план, act according to the план - действам по плана; blueprint (чертеж); draft (чертеж); conception; contrivance; device{di`vais}; diagram; groundwork; lay-out (карта); project{`prOdjekt}; scheme; skeleton: close план - близък план
    * * *
    1. (в литературата) aspect, angle, level, light 2. (намерение) plan, intention 3. (разположение на град, жилище, градина) lay out 4. (чертеж) blue-print;draught;design 5. 1, plan, scheme, design, project;blue-print 6. ПЛАН на града map;lay out 7. ПЛАН на действие a plan of action/procedure 8. ПЛАН на съчинение an outline of a composition 9. без ПЛАН planlessly, unsystema-tically 10. в друг ПЛАН from a different angle, in a different angle, in a different light 11. действувам без ПЛАН muddle on 12. едър ПЛАН кино, телев. close-up 13. заден ПЛАН background 14. изк.: преден ПЛАН foreground 15. излизам на преден ПЛАН прен. come to the fore 16. какви са ти ПЛАНовете за утре? what are your plans for tomorrow?what are you planning to do tomorrow? 17. кроя ПЛАНове за make plans for 18. на този ПЛАН at this level 19. нямам ПЛАНове have no plans, have nothing in prospect 20. огневи ПЛАН воен. a fire plan 21. оставам на заден ПЛАН прен. be put aside, be shelved 22. отстъпвам на заден ПЛАН прен. recede into the background 23. пo ПЛАН according to plan 24. петгодишен ПЛАН a five-year plan 25. привеждам в изпълнение ПЛАН put a plan into execution 26. производствен ПЛАН a production plan 27. разстройвам/обърквам ПЛАНовете на някого spoil/upset s. o.'s plans;upset s.o.'s applecart 28. слагам нещо на заден ПЛАН прен. lay s.th. aside, shelve s.th. 29. снемам ПЛАН на make a plan of 30. снемам от ПЛАН a remove/cancel s. th. from the plan 31. спускам ПЛАН forward a plan (to different units for execution) 32. среден ПЛАН second/middle distance 33. съвпадам с ПЛАНовете на някого suit a person's book 34. съставям ПЛАН devise/work out/elaborate a plan/project/scheme 35. учебен ПЛАН syllabus, curriculum 36. цифри no ПЛАНa target figures

    Български-английски речник > план

  • 5 Wren, Sir Christopher

    [br]
    b. 20 October 1632 East Knoyle, Wiltshire, England
    d. 25 February 1723 London, England
    [br]
    English architect whose background in scientific research and achievement enhanced his handling of many near-intractable architectural problems.
    [br]
    Born into a High Church and Royalist family, the young Wren early showed outstanding intellectual ability and at Oxford in 1654 was described as "that miracle of a youth". Educated at Westminster School, he went up to Oxford, where he graduated at the age of 19 and obtained his master's degree two years later. From this time onwards his interests were in science, primarily astronomy but also physics, engineering and meteorology. While still at college he developed theories about and experimentally solved some fifty varied problems. At the age of 25 Wren was appointed to the Chair of Astronomy at Gresham College in London, but he soon returned to Oxford as Savilian Professor of Astronomy there. At the same time he became one of the founder members of the Society of Experimental Philosophy at Oxford, which was awarded its Royal Charter soon after the Restoration of 1660; Wren, together with such men as Isaac Newton, Robert Hooke, John Evelyn and Robert Boyle, then found himself a member of the Royal Society.
    Wren's architectural career began with the classical chapel that he built, at the request of his uncle, the Bishop of Ely, for Pembroke College, Cambridge (1663). From this time onwards, until he died at the age of 91, he was fully occupied with a wide and taxing variety of architectural problems which he faced in the execution of all the great building schemes of the day. His scientific background and inventive mind stood him in good stead in solving such difficulties with an often unusual approach and concept. Nowhere was this more apparent than in his rebuilding of fifty-one churches in the City of London after the Great Fire, in the construction of the new St Paul's Cathedral and in the grand layout of the Royal Hospital at Greenwich.
    The first instance of Wren's approach to constructional problems was in his building of the Sheldonian Theatre in Oxford (1664–9). He based his design upon that of the Roman Theatre of Marcellus (13–11 BC), which he had studied from drawings in Serlio's book of architecture. Wren's reputation as an architect was greatly enhanced by his solution to the roofing problem here. The original theatre in Rome, like all Roman-theatres, was a circular building open to the sky; this would be unsuitable in the climate of Oxford and Wren wished to cover the English counterpart without using supporting columns, which would have obscured the view of the stage. He solved this difficulty mathematically, with the aid of his colleague Dr Wallis, the Professor of Geometry, by means of a timber-trussed roof supporting a painted ceiling which represented the open sky.
    The City of London's churches were rebuilt over a period of nearly fifty years; the first to be completed and reopened was St Mary-at-Hill in 1676, and the last St Michael Cornhill in 1722, when Wren was 89. They had to be rebuilt upon the original medieval sites and they illustrate, perhaps more clearly than any other examples of Wren's work, the fertility of his imagination and his ability to solve the most intractable problems of site, limitation of space and variation in style and material. None of the churches is like any other. Of the varied sites, few are level or possess right-angled corners or parallel sides of equal length, and nearly all were hedged in by other, often larger, buildings. Nowhere is his versatility and inventiveness shown more clearly than in his designs for the steeples. There was no English precedent for a classical steeple, though he did draw upon the Dutch examples of the 1630s, because the London examples had been medieval, therefore Roman Catholic and Gothic, churches. Many of Wren's steeples are, therefore, Gothic steeples in classical dress, but many were of the greatest originality and delicate beauty: for example, St Mary-le-Bow in Cheapside; the "wedding cake" St Bride in Fleet Street; and the temple diminuendo concept of Christ Church in Newgate Street.
    In St Paul's Cathedral Wren showed his ingenuity in adapting the incongruous Royal Warrant Design of 1675. Among his gradual and successful amendments were the intriguing upper lighting of his two-storey choir and the supporting of the lantern by a brick cone inserted between the inner and outer dome shells. The layout of the Royal Hospital at Greenwich illustrates Wren's qualities as an overall large-scale planner and designer. His terms of reference insisted upon the incorporation of the earlier existing Queen's House, erected by Inigo Jones, and of John Webb's King Charles II block. The Queen's House, in particular, created a difficult problem as its smaller size rendered it out of scale with the newer structures. Wren's solution was to make it the focal centre of a great vista between the main flanking larger buildings; this was a masterstroke.
    [br]
    Principal Honours and Distinctions
    Knighted 1673. President, Royal Society 1681–3. Member of Parliament 1685–7 and 1701–2. Surveyor, Greenwich Hospital 1696. Surveyor, Westminster Abbey 1699.
    Surveyor-General 1669–1712.
    Further Reading
    R.Dutton, 1951, The Age of Wren, Batsford.
    M.Briggs, 1953, Wren the Incomparable, Allen \& Unwin. M.Whinney, 1971, Wren, Thames \& Hudson.
    K.Downes, 1971, Christopher Wren, Allen Lane.
    G.Beard, 1982, The Work of Sir Christopher Wren, Bartholomew.
    DY

    Biographical history of technology > Wren, Sir Christopher

  • 6 auto

    m.
    1 car (coche).
    autos de choque Dodgems®, bumper cars
    2 (mystery) play (literature).
    auto de Navidad Nativity play
    3 writ, sentence, resolution from a court of law, breve.
    4 court order.
    * * *
    1 DERECHO decree, writ
    2 LITERATURA mystery play, religious play
    1 papers, documents
    \
    estar en autos familiar to be in the know
    auto de prisión arrest warrant
    ————————
    1 (coche) car
    \
    autos de choque bumper cars
    * * *
    noun m.
    1) automobile, car
    2) sentence, decision
    * * *
    I
    SM esp Cono Sur car, automobile (EEUU)

    auto de choque — bumper car, dodgem (Brit)

    II
    SM
    1) (Jur) edict, judicial decree

    auto de comparecencia — summons, subpoena (EEUU)

    auto de procesamiento — charge, indictment

    2) pl autos (=documentos) proceedings, court record sing
    3) (Rel, Teat) mystery play, religious play
    4) ( Hist)

    hacer un auto de fe de algo — † (fig) to burn sth

    * * *
    1) (esp CS) (Auto) car, automobile (AmE)
    2) (Der) ( resolución) decision; ( orden) order, writ
    3) autos masculino plural ( documentación) proceedings (pl)

    el día/la fecha de autos — the day/date of the offense

    4) (Lit, Teatr) play
    •
    * * *
    = record.
    Nota: Constancia de las declaraciones de las diferentes partes implicadas en un juicio.
    Ex. Enter the official proceedings and records of criminal trial, impeachment, courts-martial, etc., under the heading for the person or body prosecuted.
    ----
    * auto de comparecencia = subpoena, summons, judicial summons.
    * auto judicial = writ.
    * auto sacramental = mystery play.
    * * *
    1) (esp CS) (Auto) car, automobile (AmE)
    2) (Der) ( resolución) decision; ( orden) order, writ
    3) autos masculino plural ( documentación) proceedings (pl)

    el día/la fecha de autos — the day/date of the offense

    4) (Lit, Teatr) play
    •
    * * *
    Nota: Constancia de las declaraciones de las diferentes partes implicadas en un juicio.

    Ex: Enter the official proceedings and records of criminal trial, impeachment, courts-martial, etc., under the heading for the person or body prosecuted.

    * auto de comparecencia = subpoena, summons, judicial summons.
    * auto judicial = writ.
    * auto sacramental = mystery play.

    * * *
    A ( esp CS) ( Auto) car, auto ( AmE), automobile ( AmE)
    Compuestos:
    ( esp CS) racing car
    mpl bumper cars (pl), Dodgems® (pl) ( BrE)
    (CS) sports car
    B ( Der) (resolución) decision; (orden) order, writ
    Compuestos:
    subpoena, summons
    attachment order, writ of attachment
    auto-da-fé
    committal, committal order
    committal for trial
    se dictó auto de procesamiento contra ella she was committed for trial
    C autos mpl (documentación) proceedings (pl)
    constar en autos to be proven
    el día/la fecha de autos the day/date of the offense
    D ( Lit, Teatr) play
    Compuestos:
    passion play
    * * *

     

    auto sustantivo masculino
    1 (esp CS) (Auto) car, automobile (AmE);

    autitos chocadores (RPl bumper cars
    2 (Lit, Teatr) play
    auto 1 sustantivo masculino car
    auto 2 sustantivo masculino Jur (orden) court order, decree, writ
    auto de comparecencia, subpoena
    auto de procesamiento, committal
    ♦ Locuciones: de autos, in question: la noche de autos, the night in question
    ' auto' also found in these entries:
    Spanish:
    acelerador
    - adelantamiento
    - adherencia
    - agarre
    - aire
    - aleta
    - amortiguador
    - arrancar
    - arranque
    - atropellar
    - atropello
    - baca
    - batería
    - baúl
    - bujía
    - cadena
    - caja
    - calarse
    - cámara
    - cambio
    - camión
    - capó
    - carril
    - carrocería
    - catalizador
    - catalizadora
    - cepo
    - chasis
    - chequeo
    - cilindrada
    - circuito
    - circulación
    - circulatoria
    - circulatorio
    - cojinete
    - colisión
    - conducir
    - conductor
    - conductora
    - contacto
    - continua
    - continuo
    - convertible
    - copiloto
    - corta
    - corto
    - cuarta
    - cuarto
    - culata
    - defensa
    English:
    apply
    - auto
    - automatic
    - automatic transmission
    - B
    - back
    - back up
    - backfire
    - battery
    - belt up
    - blinkers
    - blow
    - blowout
    - body
    - bodywork
    - bonnet
    - boot
    - bottleneck
    - bottom gear
    - brake
    - breakdown
    - breath test
    - bumper
    - camper
    - cap
    - capacity
    - car
    - change
    - change down
    - change up
    - choke
    - clutch
    - coach
    - coast
    - compact
    - component
    - control
    - convertible
    - corner
    - cruise
    - cut in
    - dashboard
    - dead
    - defrost
    - diesel engine
    - dip
    - disc brakes
    - disengage
    - distributor
    - drive
    * * *
    auto nm
    1. esp CSur [coche] car
    CSur auto de alquiler hire car; CSur auto antiguo [de antes de 1930] vintage car; [más moderno] classic car; CSur auto bomba car bomb; CSur auto de carreras racing car;
    autos de choque bumper cars, Br Dodgems®;
    CSur auto deportivo sports car; CSur auto de época [de antes de 1930] vintage car; [más moderno] classic car; Chile autos locos bumper cars, Br Dodgems®; CSur auto sport sports car
    2. Der [resolución] judicial decree
    auto judicial judicial decree;
    auto de prisión arrest warrant;
    auto de procesamiento committal for trial order;
    3. Der
    autos [documentos] case documents;
    constar en autos to be recorded in the case documents;
    la noche de autos the night of the crime;
    poner a alguien en autos [en antecedentes] to inform sb of the background
    4. Hist auto de fe auto-da-fé, = public punishment of heretics by the Inquisition
    5. Lit = short play with biblical or allegorical subject, ≈ mystery play
    auto de Navidad Nativity play;
    auto navideño Nativity play;
    auto sacramental = allegorical play celebrating the Eucharist
    * * *
    1 m
    1 JUR order;
    dictar auto de detención issue an arrest warrant
    2
    :
    autos pl JUR proceedings;
    consta en autos it is a matter of record
    3
    :
    lugar de autos crime scene
    4 L.Am.
    AUTO car
    2 pref self
    * * *
    auto nm
    : auto, car
    * * *
    auto n car

    Spanish-English dictionary > auto

  • 7 программа

    agenda, (напр. проведения экспериментов) mission, program, schedule, software
    * * *
    програ́мма ж.
    1. брит. program(me); амер. program
    2. вчт. ( последовательность команд для решения задачи) program; (последовательность команд для выполненная какой-л. операции) routine
    вызыва́ть програ́мму — call (in) a program
    выполня́ть програ́мму — execute a program
    набира́ть програ́мму на коммутацио́нной доске́ — set up a program on a plugboard
    програ́мма нахо́дится [размеща́ется] в … — the program resides in …
    отла́живать програ́мму — de-bug a program
    распеча́тывать програ́мму — list a program, produce a listing of the program
    акти́вная програ́мма (программа становится активной после загрузки и приведения в готовность к исполнению) — active program (any program that is loaded and ready to be executed is called active)
    библиоте́чная програ́мма вчт. — library routine
    програ́мма вво́да-вы́вода вчт. — input/ output [I/ O] routine
    ветвя́щаяся програ́мма вчт. — branching program
    веща́тельная програ́мма тлв., радио — (broadcast) program
    выпуска́ть веща́тельную програ́мму — put a program on the air
    програ́мма в реа́льном масшта́бе вре́мени вчт. — real-time program
    вспомога́тельная програ́мма вчт. — house-keeping routine
    програ́мма вы́зова суперви́зора вчт. — S.V.C. routine
    выполни́мая програ́мма вчт. — executable program
    гла́вная програ́мма вчт. — main program
    диагности́ческая програ́мма вчт. — diagnostic routine
    диагности́ческая програ́мма устана́вливает и локализу́ет неиспра́вности в ЭВМ — a diagnostic routine detects and isolates malfunctions in the computer
    жё́сткая програ́мма вчт. — wired-in program
    програ́мма инициализа́ции ядра́ вчт. — nucleus initialization program
    интерфе́йсная програ́мма систе́мы с разделе́нием вре́мени — time-sharing interface program
    исполни́тельная програ́мма вчт. — executive routine
    исполни́тельная програ́мма осуществля́ет контро́ль за выполне́нием други́х програ́мм — an executive routine controls the execution of other routines
    исхо́дная програ́мма вчт. — source program
    кана́льная програ́мма вчт. — channel program
    кана́льная програ́мма управля́ет после́довательностью опера́ций какого-л. кана́ла — a channel program controls a specific sequence of channel operations
    програ́мма лё́тных испыта́ний — flight test program
    програ́мма маши́нного ана́лиза цепе́й вчт. — network optimization program
    метапрограмми́рующая програ́мма вчт. — meta-assembly program
    програ́мма ме́тода обраще́ния вчт. — access method routine
    по програ́мме ме́тода обраще́ния осуществля́ется переда́ча информа́ции ме́жду гла́вной па́мятью и устро́йствами вво́да-вы́вода — the access method routine moves data between main storage and input/ output devices
    неакти́вная програ́мма (программа, незагруженная или загруженная, но не готовая к исполнению, называется неактивной) — inactive program (an inactive program is that which is loaded but not ready to be executed, or not loaded at all)
    незави́симая програ́мма вчт. — stand-alone program
    обраба́тывающая програ́мма вчт. — processing program
    програ́мма обрабо́тки (да́нных) вчт. — processing program
    програ́мма обрабо́тки сообще́ний вчт. — message processing program
    обслу́живающая програ́мма вчт. — service routine
    объе́ктная програ́мма вчт. — object [target] program
    оверле́йная програ́мма вчт. — overlay program
    програ́мма опера́ции сортиро́вки — объедине́ния вчт. — sort/ merge program
    оптимизи́рующая програ́мма вчт. — optimizing program
    програ́мма оце́нки состоя́ния систе́мы вчт. — damage assessment routine
    програ́мма пере́днего пла́на вчт. — foreground program
    програ́мма печа́ти вчт. — print routine
    програ́мма представле́ния информа́ции на видеодиспле́е вчт. — graphic display program
    програ́мма прерыва́ния вчт. — interrupt routine
    пробле́мная програ́мма вчт. — problem program
    резиде́нтная програ́мма вчт. — resident program
    програ́мма специа́льного примене́ния (программа, написанная для пользователя или пользователем для его собственных нужд, называется программой специального применения) — application program (an application program is that which is written for or by a user and applies to his own work)
    транзи́тная програ́мма вчт. — transit routine
    програ́мма трассиро́вки вчт. — tracing routine
    програ́мма управле́ния сообще́ниями вчт. — message control program
    управля́ющая програ́мма — control program
    управля́ющая програ́мма плани́рует обрабо́тку да́нных и осуществля́ет контро́ль за её́ исполне́нием — a control program schedules and supervises the performance of data processing
    фо́новая програ́мма вчт. — background program

    Русско-английский политехнический словарь > программа

  • 8 ввод заданий

    Русско-английский словарь по информационным технологиям > ввод заданий

  • 9 формирование очереди заданий

    Русско-английский словарь по информационным технологиям > формирование очереди заданий

  • 10 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, Eventually
       Just 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)
       Many 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 Form
       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. 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 Formation
       It 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 Contexts
       Even 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)
        18) The Assumption That the Mind Is a Formal System
       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 Intelligence
       The 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 Propositions
       In 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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