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1 call up data from memory
Макаров: вызывать данные из памятиУниверсальный англо-русский словарь > call up data from memory
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2 call
A n1 Telecom appel m (téléphonique) (from de) ; business call appel professionnel ; private ou personal call appel privé ; (tele)phone call appel m (téléphonique) ; I have a call for you j'ai un appel pour vous ; to make a call appeler, téléphoner ; to make a call to Italy appeler l'Italie, téléphoner en Italie ; to receive/take a call recevoir/prendre un appel ; to give sb a call appeler qn ; to return sb's call rappeler qn ; to put a call through to sb passer un appel à qn ;3 ( summons) appel m, this is the last call for passengers to Berlin Aviat ceci est le dernier appel pour les passagers à destination de Berlin ; this is your ten minute call Theat en scène dans dix minutes ; to put out a call for sb ( over public address) faire appeler qn ; ( over radio) lancer un appel à qn ; the Red Cross has put out a call for blankets la Croix Rouge a lancé un appel pour obtenir des couvertures ;4 ( visit) visite f ; social call visite f de courtoisie ; to make ou pay a call lit rendre visite (on à) ; to pay a call euph aller aux toilettes ; to return sb's call rendre sa visite à qn ;5 ( demand) demande f ; the strikers' call for a pay rise la demande d'augmentation de salaire de la part des grévistes ; there were calls for his resignation sa démission a été réclamée ; a call for reform une demande de réforme ; she has many calls on her time elle est très sollicitée ; there's no call for it Comm il n'y a pas de demande (pour cet article) ; we don't get much call for that nous n'avons guère de demande pour cela ; to have first call on sth avoir la priorité sur qch ;6 ( need) there's no call for sth/to do il n'y a pas de raison pour qch/de faire ; there was no call for her to say that elle n'avait aucune raison or aucun besoin de dire cela ;8 Sport décision f ;9 Fin ( for repayment of loan) demande f de remboursement ; ( request) appel m ; ( right to buy) option f d'achat ; money at ou on call argent à court terme or au jour le jour ; on three months' call à trois mois ; payable at call remboursable sur présentation or à vue ; a call for capital/tenders un appel de fonds/d'offres ;B vtr1 ( say loudly) ( also call out) appeler [name, number] ; crier [answer, instructions] ; annoncer [result] ; Games parier [heads, tails] ; annoncer [flight] ; to call the register Sch faire l'appel ; he called (out) ‘Goodbye’ il a crié ‘au revoir’ ;2 ( summon) appeler [lift] ; ( by shouting) appeler [person, animal, witness] ; ( by phone) appeler [person, police, taxi] ; ( by letter) convoquer [applicant, candidate] ; he was called before the committee il a été convoqué devant la commission ; the boss called me into his office le chef m'a fait venir dans son bureau ; the police were called to the scene la police a été appelée sur les lieux ; I've called you a taxi je vous ai appelé un taxi ; come when you're called venez quand on vous appelle ; call the next witness appelez le témoin suivant ; you may be called to give evidence il se peut que vous soyez convoqué pour témoigner ;3 ( telephone) ( also call up) appeler [person, institution, number] (at à ; from de) ; don't call us, we'll call you hum (n'appelez pas) nous vous appellerons ;4 ( give a name) appeler [person, baby, animal, place, product] (by par) ; intituler [book, film, music, play] ; she prefers to be called by her maiden name elle préfère qu'on l'appelle par son nom de jeune fille ;6 ( waken) réveiller [person] ; what time shall I call you in the morning? à quelle heure voulez-vous que je vous réveille? ;7 ( describe as) to call sb stupid/a liar traiter qn d'imbécile/de menteur/-euse ; I wouldn't call it spacious/beautiful je ne dirais pas que c'est vaste/beau ; do you call that plate clean? tu appelles ça une assiette propre? ; it's not what you'd call an exciting film on ne peut pas dire que ce film soit passionnant ; it's what you might call a delicate situation c'est ce qui s'appelle une situation délicate ; call that a garden ○ ! tu appelles ça un jardin! ; call it what you will appelle ça comme tu veux ; parapsychology or whatever they ou you call it ○ la métapsychologie ou quelque chose dans ce goût-là ○ ; (let's) call it £5 disons cinq livres sterling ; he hasn't a place to call his own il n'a pas de chez-lui ;8 Sport [referee, linesman] déclarer ; the linesman called the ball in le juge de ligne a déclaré que la balle était bonne ;9 Fin demander le remboursement de [loan] ;10 Comput appeler [file, program].C vi1 ( cry out) ( also call out) [person, animal] appeler ; ( louder) crier ; [bird] crier ; London calling Radio ici Londres ;2 ( telephone) appeler ; where are you calling from? d'où appelez-vous? ; I'm calling about your advertisement j'appelle au sujet de votre annonce ; thank you for calling merci d'avoir appelé ; please call back in an hour rappelez dans une heure s'il vous plaît, veuillez rappeler dans une heure fml ; to call home appeler chez soi or à la maison ; who's calling? qui est à l'appareil? ;3 ( visit) passer ; to call at [person] passer chez [person, shop] ; [person] passer à [bank, library, town] ; [train] s'arrêter à [town, station] ; [boat] faire escale à [port] ; the London train calling at Reading and Slough le train à destination de Londres desservant les gares de Reading et Slough ;4 (tossing coins, racquet) parier ; you call, heads or tails? à toi de parier, pile ou face?D v refl to call oneself se faire appeler [Smith, Bob] ; ( claim to be) se dire, se prétendre [poet, designer] ; he calls himself a writer but… il se dit or se prétend écrivain mais… ; call yourself a sailor ○ ? et tu te prétends marin? ; I am proud to call myself European je suis fier d'être européen.it was a close call c'était de justesse.■ call away:▶ call [sb] away appeler ; to be called away être obligé de s'absenter.■ call back:1 ( on phone) rappeler ;2 ( return) repasser ;▶ call [sb] back1 (summon by shouting, phone back) rappeler [person] ;2 ( recall) rappeler [representative, diplomat].■ call by passer.■ call down:▶ call down ( shout from above) appeler ;▶ call down [sth], call [sth] down appeler [blessing, curse, vengeance] (on sur).■ call for:▶ call for [sth]2 ( demand) [person] demander [food, drink, equipment, tool] ; [report, article, politician, protesters] réclamer [changes, improvements] ; they are calling for talks to be extended ils réclament la prolongation des négociations ;3 ( require) [situation, problem, conditions] exiger [treatment, skill, action, understanding] ; nécessiter [change, intervention, improvements] ; this calls for a celebration! ça se fête! ; that was not called for c'était déplacé ;■ call forth littér:▶ call forth [sth], call [sth] forth susciter.■ call in:▶ call in1 ( visit) passer ;▶ call in [sb], call [sb] in2 ( send for) faire appel à [expert, police, engineer] ;▶ call in [sth], call [sth] in1 ( recall) demander le retour de [library book, ticket, surplus, supplies] ; retirer [qch] de la circulation [currency] ; retirer [qch] du commerce [product] ;2 Fin demander le remboursement de [loan].■ call off:▶ call off [sth], call [sth] off1 lit rappeler [dog, attacker] ;2 fig ( halt) interrompre [arrangement, deal, plan, search, investigation, strike] ; ( cancel) annuler [show, meeting, wedding] ; to call off one's engagement rompre ses fiançailles ; to call off a strike annuler un ordre de grève ; let's call the whole thing off laissons tomber.■ call on:▶ call on [sb/sth]2 ( invite) demander à [speaker, lecturer] (to do de faire) ;3 ( urge) demander à (to do de faire) ; ( stronger) enjoindre fml (to do de faire) ; he called on his colleagues to oppose it il a demandé à ses collègues de s'y opposer ;4 (appeal to, resort to) s'adresser à [person] ; avoir recours à [services] ; faire appel à [moral quality] ; neighbours she can call on des voisins à qui elle peut s'adresser ; we will call on your services nous aurons recours à vos services ; you will have to call on all your patience and courage il faudra faire appel à toute ta patience et tout ton courage.■ call out:▶ call out [sb], call [sb] out1 ( summon outside) appeler ; the teacher called me out to the front of the class le professeur m'a fait venir devant le reste de la classe ;2 ( send for) appeler [expert, doctor, emergency service, repairman, troops] ;3 Ind [union] lancer un ordre de grève à [members] ; to call sb out on strike lancer un ordre de grève à qn ;▶ call [sth] out, call out [sth] appeler [name, number].■ call over:▶ call over to [sb] appeler ;▶ call [sb] over appeler.■ call round ( visit) venir.■ call up:▶ call up appeler ;▶ call up [sb/sth], call [sb/sth] up1 ( on phone) appeler ;2 ( summon) appeler [reserves, reinforcements] ; appeler [qn] sous les drapeaux [soldier] ; invoquer [ghost, spirit] ;3 ( evoke) rappeler [memory, past event, scene] ;4 Comput appeler (à l'écran), afficher [data, file, menu] ;5 Sport sélectionner [player]. -
3 memory
noun1) Gedächtnis, dashave a good/poor memory for faces — ein gutes/schlechtes Personengedächtnis haben
2) (recollection, person or thing remembered, act of remembering) Erinnerung, die (of an + Akk.)have a vague memory of something — sich nur ungenau an etwas (Akk.) erinnern
it slipped or escaped my memory — es ist mir entfallen
from memory — aus dem Gedächtnis od. Kopf
in memory of — zur Erinnerung an (+ Akk.); attrib.
a trip down memory lane — eine Reise in die Vergangenheit
3) (Computing) Speicher, der* * *['meməri]plural - memories; noun1) (the power to remember things: a good memory for details.) das Gedächtnis2) (the mind's store of remembered things: Her memory is full of interesting stories.) das Gedächtnis3) (something remembered: memories of her childhood.) die Erinnerung4) (the time as far back as can be remembered: the greatest fire in memory.) das Gedenken5) (a part of computer in which information is stored for immediate use; a computer with 8 megabytes of memory)•- academic.ru/46134/memorize">memorize- memorise
- from memory
- in memory of / to the memory of* * *memo·ry[ˈmeməri, AM -mɚi]nto have a \memory like an elephant ein Elefantengedächtnis habenloss of \memory Gedächtnisschwund mto have a good \memory for names/numbers ein gutes Namen-/Zahlengedächtnis habena bad/good/photographic \memory ein schlechtes/gutes/fotografisches Gedächtnisimpaired \memory Gedächtnisschwäche fwithin living/sb's \memory soweit man/jd zurückdenken kannthis is still within my \memory daran kann ich mich noch erinnernto commit sth to \memory sich dat etw einprägento recite sth from \memory etw aus dem Gedächtnis rezitierento search one's \memory versuchen, sich akk zu erinnernin \memory of sb/sth zum Gedenken an jdn/etwto bring back memories Erinnerungen wachrufen* * *['memərɪ]n1) Gedächtnis nt; (= faculty) Erinnerungsvermögen ntto commit sth to memory — sich (dat) etw einprägen; poem etw auswendig lernen
I have a bad memory for faces/names — ich habe ein schlechtes Personengedächtnis/Namensgedächtnis
See:→ living2) (= thing remembered) Erinnerung f (of an +acc)he had happy memories of his father — er verband angenehme Erinnerungen mit seinem Vater
3) (COMPUT) (Arbeits-, Haupt)speicher m4)sb's memory — jds Andenken nt ehren
in memory of — zur Erinnerung or zum Gedenken (form) an (+acc)
* * *memory [ˈmemərı] s1. Gedächtnis n, Erinnerung(svermögen) f(n):from memory aus dem Gedächtnis, auswendig;speak from memory frei sprechen;call to memory sich etwas ins Gedächtnis zurückrufen;escape sb’s memory jemandes Gedächtnis entfallen;the memory goes first zuerst wird man vergesslich;have a good (weak) memory ein gutes (schwaches) Gedächtnis haben;have a bad memory for names ein schlechtes Namensgedächtnis haben;have a bad memory for faces sich keine Gesichter merken können, ein schlechtes Personengedächtnis haben;retain a clear memory of sth etwas in klarer Erinnerung behalten;if my memory serves me (right) wenn ich mich recht erinnere;before memory, beyond memory vor undenklichen Zeiten;the best of my memory soweit ich mich erinnern kann; → commit 2, erase 3, jog1 A 1, living A 1, sieve A 1, sponge A 1, wipe out 22. Andenken n, Erinnerung f:of an akk):memories of one’s youth Jugenderinnerungen4. COMPUT Speicher m:memory access Speicherzugriff m;memory bank Speicherbank f;memory capacity Speicherkapazität f;memory expansion Speichererweiterung f;memory function Speicherfunktion f;memory location Speicherplatz m;memory protection Speicherschutz m;memory unit Speichereinheit f* * *noun1) Gedächtnis, dashave a good/poor memory for faces — ein gutes/schlechtes Personengedächtnis haben
2) (recollection, person or thing remembered, act of remembering) Erinnerung, die (of an + Akk.)have a vague memory of something — sich nur ungenau an etwas (Akk.) erinnern
it slipped or escaped my memory — es ist mir entfallen
from memory — aus dem Gedächtnis od. Kopf
in memory of — zur Erinnerung an (+ Akk.); attrib.
3) (Computing) Speicher, der* * *n.Andenken - n.Erinnerung f.Gedächtnis n. -
4 memory
ˈmemərɪ сущ.
1) память to speak from memory ≈ говорить по памяти to jog smb.'s memory ≈ всколыхнуть чью-л. память to lose one's memory ≈ потерять память The date has slipped my memory. ≈ Я забыл дату. powerful memory ≈ хорошая память good memory for names ≈ хорошая память на имена to the best of my memory ≈ насколько я помню if my memory serves me right, if my memory does not fail me ≈ если память мне не изменяет from memory ≈ по памяти in memory of ≈ в память( кого-л., чего-л.) to commit to memory ≈ вверять что-л. памяти to slip smb.'s memory ≈ выскальзывать из памяти infallible memory ≈ феноменальная память photographic memory ≈ фотографическая память, образная память, зрительная память logical memory ≈ смысловая память, логическая память long-term memory ≈ долговременная память retentive memory ≈ хорошая, цепкая память short memory ≈ короткая, плохая память short-term memory ≈ кратковременная память visual memory ≈ зрительная память lapse of memory ≈ огрехи памяти within living memory ≈ на памяти нынешнего поколения
2) воспоминание to blot out a memory ≈ стирать воспоминание to evoke, stir up a memory ≈ пробуждать воспоминание bitter memories ≈ горькие воспоминания dim, vague memories ≈ смутные воспоминания enduring memories ≈ неумирающие воспоминания fond memories ≈ нежные воспоминания haunting, poignant memories ≈ навязчивые воспоминания pleasant memories ≈ приятные воспоминания unpleasant memories ≈ неприятные воспоминания Syn: remembrance, recollection, reminiscence
3) тех. машинная память, запоминающее устройство, накопитель информации
4) тех. запись, регистрация память, способность запоминать - good * хорошая память (на что-л.) - I have a bad * for faces у меня плохая память на лица - short * короткая память - associative /content-adressable/ * (психологическое) ассоциативная память - * sketch эскиз, сделанный по памяти - * like a sieve память как решето, дырявая /девичья, куриная/ память - loss of * потеря памяти - from * по памяти, на память - to quote from * цитировать по памяти - to bear /to have, to keep/ in * помнить, запоминать, держать в памяти - to bring back /to call/ to * вспоминать, припоминать;
воскрешаться в памяти - to search /rack/ one's * (по) рыться в памяти - to come back to one's * прийти на память, вспомниться, воскреснуть в памяти - to commit to * заучивать наизусть, запоминать - to escape /to slip, to go out of, to fade from/ one's * забываться, ускользать /улетучиваться/ из (чьей-л.) памяти - it escapes my * я не помню этого - to jog smb's * помогать кому-л. припомнить;
напоминать кому-л.;
не дать кому-л. забыть - to refresh one's * освежить (свою) память - to refresh smb.'s * напомнить кому-л. (о чем-л.) - may I refresh /jog/ your *? разрешите вам напомнить? - to stick in one's * врезаться в память, запомниться, запечатлеться - to lose one's * лишиться памяти - if my * serves me well, if my * does not fail me если память мне не изменяет - to the best of my * насколько я помню - within smb.'s * на чьей-л. памяти - within living *, within the * of living на памяти живущих, на памяти нынешнего поколения воспоминание, память (о чем-л., о ком-л.) с незапамятных времен - childhood memories детские воспоминания, воспоминания детства - sweet /pleasant/ * приятное воспоминание - one of my earliest memories одно из моих самых ранних воспоминаний - in /to the/ * of smb., smth. в память о ком-л., чем-л. - to keep smb.'s * хранить память о ком-л. - to retain a clear * of smth. (со) хранить ясное воспоминание о чем-л. - to relive old memories заново пережить прошлое - I have a clear * of what happened я ясно помню, что случилось - the * of accident remained with him all his life он сохранил память об этой катастрофе на всю жизнь посмертная слава, репутация - of happy * счастливой памяти - sacred to the * of smb., smth. священной памяти кого-л., чего-л. - of famous * знаменитый, прославленный - of notorius * пресловутый, дурной славы - to leave a sad * behind оставить по себе недобрую память (компьютерное) машинная память, запоминающее устройство ЭВМ - external * внешняя память, внешнее запоминающее устройство - * allocation распределение памяти - * guard /protection/ защита памяти( специальное) память - * of generations (биология) механизм наследственности, память поколений (техническое) запись, регистрация acquire more ~ вчт. запрашивать дополнительную память add-in ~ вчт. дополнительная память address ~ вчт. адресуемая память addressed ~ вчт. адресуемая память adequate ~ вчт. достаточный объем памяти adressable ~ вчт. адресуемая память annex ~ вчт. буферная память associative ~ вчт. ассоциативная память auxiliary ~ вчт. внешняя память auxiliary ~ вчт. вспомогательная память auxiliary ~ вчт. вспомогательное запоминающее устройство available ~ вчт. имеющаяся свободная память bootstrap ~ вчт. память начальной загрузки bubble ~ вчт. память на цилиндрических магнитных доменах buffer ~ вчт. буферная память buffer ~ вчт. буферное запоминающее устройство bulk ~ вчт. память большого объема byte-organized ~ вчт. память с побайтовой организацией cache ~ вчт. быстродействующая буферная память большой емкости cache ~ вчт. кэш content-addressable ~ вчт. ассоциативная память core ~ вчт. память на магнитных сердечниках data addressed ~ вчт. ассоциативная память dynamic ~ вчт. динамическая память electrically alterable read-only ~ вчт. электрически программируемое ПЗУ erasable programmable read-only ~ вчт. стираемое программируемое ПЗУ expanded ~ вчт. расширенная память expansion ~ вчт. дополнительная память extended ~ вчт. расширенная память external ~ вчт. внешняя память fast ~ вчт. быстродействующее ЗУ fit in ~ вчт. умещаться в памяти global ~ вчт. глобальная память memory воспоминание;
he has left a sad memory behind он оставил по себе недобрую память high-capacity ~ вчт. ЗУ большой емкости high-density ~ вчт. ЗУ с высокой плотностью записи to the best of my ~ насколько я помню;
if my memory serves me right, if my memory does not fail me если память мне не изменяет to the best of my ~ насколько я помню;
if my memory serves me right, if my memory does not fail me если память мне не изменяет image ~ вчт. память изображения immediate access ~ вчт. быстродействующая память ~ память;
in memory (of smb., smth.) в память (кого-л., чего-л.) insufficient ~ вчт. недостаточный объем памяти intermediate ~ вчт. промежуточное ЗУ internal ~ вчт. собственная память keystroke ~ вчт. память клавиатуры main ~ вчт. оперативная память memory воспоминание;
he has left a sad memory behind он оставил по себе недобрую память ~ тех. запись, регистрация ~ вчт. запоминающее устройство ~ тех. машинная память, запоминающее устройство, накопитель информации ~ память;
in memory (of smb., smth.) в память (кого-л., чего-л.) ~ вчт. память microinstruction ~ вчт. память микрокоманд microprogram ~ вчт. память микропрограмм nonvolatile ~ вчт. энергонезависимая память page-interleaved ~ вчт. память с расслоением и страничным обменом phantom ~ вчт. фантомная память primary ~ вчт. первичная память random access ~ вчт. оперативная память random-access ~ вчт. оперативная память rapid ~ вчт. запоминающее устройство с малым временем выборки rapid ~ вчт. запоминающее устройство с произвольной выборкой rapid ~ вчт. память с быстрой выборкой rapid ~ вчт. память с малым временем выборки read-only ~ вчт. постоянное запоминающее устройство rule ~ вчт. память правил scratch-pad ~ вчт. сверхоперативная память screen ~ вчт. память содержимого экрана semiconductor ~ вчт. полупроводниковое запоминающее устройство shareable ~ вчт. совместно используемая память shared ~ вчт. совместно используемая память shared ~ comp. совместно используемая память stack ~ вчт. память магазинного типа staged ~ вчт. многоуровневая память to the best of my ~ насколько я помню;
if my memory serves me right, if my memory does not fail me если память мне не изменяет use up almost all of ~ вчт. использовать почти всю свободную память user ~ вчт. пользовательская память user-available ~ вчт. память доступная пользователю video ~ вчт. видеопамять virtual ~ вчт. виртуальная память volatile ~ вчт. запоминающее устройство с разрушением информации при выключении электропитания volatile ~ вчт. память с разрушением информации при выключении электропитания volatile ~ вчт. энергозависимая память volatile ~ вчт. энергозависимое запоминающее устройство women ~ вчт. сотканная память word-organized ~ вчт. память с пословной организацией write-once ~ вчт. память с однократной записью write-protected ~ вчт. память с защитой от записи -
5 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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6 Thinking
But what then am I? A thing which thinks. What is a thing which thinks? It is a thing which doubts, understands, [conceives], affirms, denies, wills, refuses, which also imagines and feels. (Descartes, 1951, p. 153)I have been trying in all this to remove the temptation to think that there "must be" a mental process of thinking, hoping, wishing, believing, etc., independent of the process of expressing a thought, a hope, a wish, etc.... If we scrutinize the usages which we make of "thinking," "meaning," "wishing," etc., going through this process rids us of the temptation to look for a peculiar act of thinking, independent of the act of expressing our thoughts, and stowed away in some particular medium. (Wittgenstein, 1958, pp. 41-43)Analyse the proofs employed by the subject. If they do not go beyond observation of empirical correspondences, they can be fully explained in terms of concrete operations, and nothing would warrant our assuming that more complex thought mechanisms are operating. If, on the other hand, the subject interprets a given correspondence as the result of any one of several possible combinations, and this leads him to verify his hypotheses by observing their consequences, we know that propositional operations are involved. (Inhelder & Piaget, 1958, p. 279)In every age, philosophical thinking exploits some dominant concepts and makes its greatest headway in solving problems conceived in terms of them. The seventeenth- and eighteenth-century philosophers construed knowledge, knower, and known in terms of sense data and their association. Descartes' self-examination gave classical psychology the mind and its contents as a starting point. Locke set up sensory immediacy as the new criterion of the real... Hobbes provided the genetic method of building up complex ideas from simple ones... and, in another quarter, still true to the Hobbesian method, Pavlov built intellect out of conditioned reflexes and Loeb built life out of tropisms. (S. Langer, 1962, p. 54)Experiments on deductive reasoning show that subjects are influenced sufficiently by their experience for their reasoning to differ from that described by a purely deductive system, whilst experiments on inductive reasoning lead to the view that an understanding of the strategies used by adult subjects in attaining concepts involves reference to higher-order concepts of a logical and deductive nature. (Bolton, 1972, p. 154)There are now machines in the world that think, that learn and create. Moreover, their ability to do these things is going to increase rapidly until-in the visible future-the range of problems they can handle will be coextensive with the range to which the human mind has been applied. (Newell & Simon, quoted in Weizenbaum, 1976, p. 138)But how does it happen that thinking is sometimes accompanied by action and sometimes not, sometimes by motion, and sometimes not? It looks as if almost the same thing happens as in the case of reasoning and making inferences about unchanging objects. But in that case the end is a speculative proposition... whereas here the conclusion which results from the two premises is an action.... I need covering; a cloak is a covering. I need a cloak. What I need, I have to make; I need a cloak. I have to make a cloak. And the conclusion, the "I have to make a cloak," is an action. (Nussbaum, 1978, p. 40)It is well to remember that when philosophy emerged in Greece in the sixth century, B.C., it did not burst suddenly out of the Mediterranean blue. The development of societies of reasoning creatures-what we call civilization-had been a process to be measured not in thousands but in millions of years. Human beings became civilized as they became reasonable, and for an animal to begin to reason and to learn how to improve its reasoning is a long, slow process. So thinking had been going on for ages before Greece-slowly improving itself, uncovering the pitfalls to be avoided by forethought, endeavoring to weigh alternative sets of consequences intellectually. What happened in the sixth century, B.C., is that thinking turned round on itself; people began to think about thinking, and the momentous event, the culmination of the long process to that point, was in fact the birth of philosophy. (Lipman, Sharp & Oscanyan, 1980, p. xi)The way to look at thought is not to assume that there is a parallel thread of correlated affects or internal experiences that go with it in some regular way. It's not of course that people don't have internal experiences, of course they do; but that when you ask what is the state of mind of someone, say while he or she is performing a ritual, it's hard to believe that such experiences are the same for all people involved.... The thinking, and indeed the feeling in an odd sort of way, is really going on in public. They are really saying what they're saying, doing what they're doing, meaning what they're meaning. Thought is, in great part anyway, a public activity. (Geertz, quoted in J. Miller, 1983, pp. 202-203)Everything should be made as simple as possible, but not simpler. (Einstein, quoted in Minsky, 1986, p. 17)What, in effect, are the conditions for the construction of formal thought? The child must not only apply operations to objects-in other words, mentally execute possible actions on them-he must also "reflect" those operations in the absence of the objects which are replaced by pure propositions. Thus, "reflection" is thought raised to the second power. Concrete thinking is the representation of a possible action, and formal thinking is the representation of a representation of possible action.... It is not surprising, therefore, that the system of concrete operations must be completed during the last years of childhood before it can be "reflected" by formal operations. In terms of their function, formal operations do not differ from concrete operations except that they are applied to hypotheses or propositions [whose logic is] an abstract translation of the system of "inference" that governs concrete operations. (Piaget, quoted in Minsky, 1986, p. 237)[E]ven a human being today (hence, a fortiori, a remote ancestor of contemporary human beings) cannot easily or ordinarily maintain uninterrupted attention on a single problem for more than a few tens of seconds. Yet we work on problems that require vastly more time. The way we do that (as we can observe by watching ourselves) requires periods of mulling to be followed by periods of recapitulation, describing to ourselves what seems to have gone on during the mulling, leading to whatever intermediate results we have reached. This has an obvious function: namely, by rehearsing these interim results... we commit them to memory, for the immediate contents of the stream of consciousness are very quickly lost unless rehearsed.... Given language, we can describe to ourselves what seemed to occur during the mulling that led to a judgment, produce a rehearsable version of the reaching-a-judgment process, and commit that to long-term memory by in fact rehearsing it. (Margolis, 1987, p. 60)Historical dictionary of quotations in cognitive science > Thinking
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7 recall
rɪˈkɔ:l
1. сущ.
1) а) призыв вернуться (приглашение или по требованию суда) б) спец., театр. вызов актера/исполнителя на бис He escaped behind the scenes as soon as Miss Bretherton's last recall was over. (Mrs. H. Ward) ≈ Он убежал за кулисы, как только мисс Брезертон вышла на поклон в последний раз.
2) воен. а) сигнал к возвращению The admiral gave the signal of recall. ≈ Адмирал дал знак возвращаться. The horn below sounded the recall. ≈ Раздался звук трубы, означающий сигнал к возвращению. б) сигнальный флаг( использующийся для того, чтобы дать сигнал к возвращению)
3) психол. воспоминание, активизация в памяти (предыдущих знаний, предыдущего опыта)
4) а) фин. требование аннулировать сделку б) возможность отменить, отозвать, аннулировать( что-л.) If you buy that stone you buy it on your own entire judgment, and you have no 'recall' upon me. ≈ Если ты покупаешь именно этот (драгоценный) камень, то покупай его на собственный страх и риск, чтобы не просил меня потом сдать его обратно. в) амер. отозвание( депутата, посланника и т. п.) ∙ beyond recall past recall
2. гл.
1) а) вызывать обратно, приказывать вернуться, возвращать We demand that you recall your army from our border. ≈ Мы требуем, чтобы вы отвели вашу армию от наших границ. Syn: call back, summon б) парл. отзывать( депутата, должностное лицо) в) воен. призывать из запаса
2) редк. сокращать, уменьшать to recall the number of laws to four or three ≈ сократить количество правил до четырех или трех Syn: reduce
3) выводить( из задумчивости)
4) а) вспоминать;
воскрешать( в памяти) to recall distinctly, vividly ≈ помнить что-л. очень живо/ярко I know him well, but I can't recall his name to mind. ≈ Я его знаю, только имени вспомнить не могу. I recall him as a very bashful child. ≈ Помнится, ребенком он был довольно застенчив. Syn: remember б) походить( на кого-л., что-л.), напоминать( кого-л., что-л.) a playwright who recalls the Elizabethan dramatists ≈ драматург, сильно напоминающий авторов Елизаветинской эпохи Syn: resemble
5) а) отменять, аннулировать (приказ, судебное решение и т. п.) Syn: cancel
2., revoke
1., undo, annul б) брать обратно (подарок, свои слова) Syn: take back
6) воскресить, оживить (чувство, состояние и т.д.) Syn: restore, revive отозвание, отзыв( депутата, посла и т. п.) - letters of * (дипломатическое) отзывные грамоты - * of the defence aattorney (юридическое) отказ от защитника (американизм) (юридическое) право отзыва или отмены путем референдума - beyond /past/ * не могущий быть отмененным;
безотзывной - a drive for the * of their Mayor кампания за смещение мэра призыв вернуться - a * to real life призыв вернуться к действительности сигнал к возвращению (особ. судов, солдат и т. п.) - to sound the * дать сигнал к возвращению (военное) призыв из запаса (театроведение) вызов (исполнителя на сцену) - to give an actor a * вызывать актера( театроведение) исполнение на бис, бисирование воспоминание;
память - past /beyond/ * окончательно забытый;
не восстановимый в памяти - a man gifted with instant * человек, наделенный блестящей памятью;
человек, который всегда все помнит отмена, аннулирование - beyond /past/ * непоправимый, безвозвратный;
окончательный - decision past * бесповоротное решение - lost beyond * безнадежно утраченный или погибший - to give smb. up as beyond * отказаться от попытки исправить кого-л.;
поставить на ком-л. крест( военное) отбой( коммерческое) изъятие, отзыв ( недоброкачественной продукции) ;
снятие с продажи отзывать (посла, депутата и т. п.) - to * an ambassador from his post to his own country отозвать посла из страны пребывания на родину вызывать обратно, приказывать вернуться, возвращать - he was *ed from abroad by urgent private affairs срочные личные дела вынудили его вернуться из-за границы - to * from an exile вернуть кого-л. из ссылки - an order to * all officials from leave приказ о вызове из отпуска всех( государственных) служащих - *! (морское) шлюпкам возвратиться! (команда) (военное) призывать из запаса вызывать (актера) вспоминать, припоминать - to * the words of a song вспоминать слова песни - I don't * his name я не припоминаю его фамилию - I don't * you я что-то вас не припоминаю /не помню/ напоминать, вызывать в памяти - to * to mind /to one's memory/ воскрешать в памяти - everything here *s my youth to me здесь мне все напоминает (мою) молодость - legends that * the past легенды, воскрешающие прошлое - a playwright who *s Maugham драматург, напоминающий Моэма припоминать;
напомнить( слушателям, читателям) - let me * a case within my own recent experience разрешите мне вспомнить /рассказать/ случай, который недавно произошел со мной самим воскрешать;
оживлять - to * smb. to life вернуть кого-л. к жизни - to * smb. from the grave воскресить кого-л. из мертвых - to * old quarrels from the past воскрешать старые раздоры - to * a feeling снова пробудить какое-л. чувство (from) выводить (из какого-л. состояния) ;
отвлекать( от чего-л.) - to * smb. from an occupation оторвать кого-л. от какого-л. занятия - to * smb. from his dreams спустить кого-л. с облаков /на землю/ (to) вернуть (к чему-л.), снова привлечь - to * smb.'s mind /attention/ to a subject( снова) привлечь чье-л. внимание к какому-л. предмету /вопросу/ - to * smb. to the immediate situation заставить кого-л. осознать сложившееся положение - to * smb. to a sense of his responsibilities напомнить кому-л. об его ответственности;
пробудить в ком-л. чувство ответственности брать обратно - to * a gift взять обратно подарок - to * a promise отказаться от своего обещания (экономика) изымать;
требовать обратно - to * frfom circulation изымать из обращения (деньги и т. п.) - to * the capital взять /потребовать/ обратно капитал( юридическое) отменять, аннулировать (приказ, закон, судебное решение) - until *ed впредь до отмены aided ~ напоминание средствами рекламы beyond (или past) ~ забытый beyond (или past) ~ непоправимый day-after ~ право отзыва через сутки product ~ изъятие продукции product ~ отзыв продукции recall аннулирование ~ аннулировать ~ брать обратно (подарок, свои слова) ~ брать обратно;
требовать обратно ~ возвращение преступника (в тюрьму, реформаторий, борстальское учреждение) ~ воспоминание ~ вспоминать;
напоминать, воскрешать (в памяти) ~ выводить (из задумчивости) ~ театр. вызов исполнителя на бис ~ вчт. вызывать повторно ~ изымать ~ напоминание ~ напоминать ~ отзыв должностного лица ~ отзывать (депутата, должностное лицо) ~ отзывать ~ отмена ~ отменять (приказ и т. п.) ~ отменять ~ отозвание (депутата, посланника и т. п.) ~ отозвание (о должностном лице, дипломатическом представителе) ~ отозвание ~ призыв вернуться ~ воен. призывать из запаса ~ призывать обратно ~ воен. сигнал к возвращению ~ снятие с продажи ~ требовать обратно ~ data originally entered вчт. воспроизводить данные ~ of goods отзыв товара ~ of product возврат продукции ~ of product отзыв продукции ~ of witness отозвание свидетеля unaided ~ отзыв товара без помощи рекламы -
8 Grammar
I think that the failure to offer a precise account of the notion "grammar" is not just a superficial defect in linguistic theory that can be remedied by adding one more definition. It seems to me that until this notion is clarified, no part of linguistic theory can achieve anything like a satisfactory development.... I have been discussing a grammar of a particular language here as analogous to a particular scientific theory, dealing with its subject matter (the set of sentences of this language) much as embryology or physics deals with its subject matter. (Chomsky, 1964, p. 213)Obviously, every speaker of a language has mastered and internalized a generative grammar that expresses his knowledge of his language. This is not to say that he is aware of the rules of grammar or even that he can become aware of them, or that his statements about his intuitive knowledge of his language are necessarily accurate. (Chomsky, 1965, p. 8)Much effort has been devoted to showing that the class of possible transformations can be substantially reduced without loss of descriptive power through the discovery of quite general conditions that all such rules and the representations they operate on and form must meet.... [The] transformational rules, at least for a substantial core grammar, can be reduced to the single rule, "Move alpha" (that is, "move any category anywhere"). (Mehler, Walker & Garrett, 1982, p. 21)4) The Relationship of Transformational Grammar to Semantics and to Human Performancehe implications of assuming a semantic memory for what we might call "generative psycholinguistics" are: that dichotomous judgments of semantic well-formedness versus anomaly are not essential or inherent to language performance; that the transformational component of a grammar is the part most relevant to performance models; that a generative grammar's role should be viewed as restricted to language production, whereas sentence understanding should be treated as a problem of extracting a cognitive representation of a text's message; that until some theoretical notion of cognitive representation is incorporated into linguistic conceptions, they are unlikely to provide either powerful language-processing programs or psychologically relevant theories.Although these implications conflict with the way others have viewed the relationship of transformational grammars to semantics and to human performance, they do not eliminate the importance of such grammars to psychologists, an importance stressed in, and indeed largely created by, the work of Chomsky. It is precisely because of a growing interdependence between such linguistic theory and psychological performance models that their relationship needs to be clarified. (Quillian, 1968, p. 260)here are some terminological distinctions that are crucial to explain, or else confusions can easily arise. In the formal study of grammar, a language is defined as a set of sentences, possibly infinite, where each sentence is a string of symbols or words. One can think of each sentence as having several representations linked together: one for its sound pattern, one for its meaning, one for the string of words constituting it, possibly others for other data structures such as the "surface structure" and "deep structure" that are held to mediate the mapping between sound and meaning. Because no finite system can store an infinite number of sentences, and because humans in particular are clearly not pullstring dolls that emit sentences from a finite stored list, one must explain human language abilities by imputing to them a grammar, which in the technical sense is a finite rule system, or programme, or circuit design, capable of generating and recognizing the sentences of a particular language. This "mental grammar" or "psychogrammar" is the neural system that allows us to speak and understand the possible word sequences of our native tongue. A grammar for a specific language is obviously acquired by a human during childhood, but there must be neural circuitry that actually carries out the acquisition process in the child, and this circuitry may be called the language faculty or language acquisition device. An important part of the language faculty is universal grammar, an implementation of a set of principles or constraints that govern the possible form of any human grammar. (Pinker, 1996, p. 263)A grammar of language L is essentially a theory of L. Any scientific theory is based on a finite number of observations, and it seeks to relate the observed phenomena and to predict new phenomena by constructing general laws in terms of hypothetical constructs.... Similarly a grammar of English is based on a finite corpus of utterances (observations), and it will contain certain grammatical rules (laws) stated in terms of the particular phonemes, phrases, etc., of English (hypothetical constructs). These rules express structural relations among the sentences of the corpus and the infinite number of sentences generated by the grammar beyond the corpus (predictions). (Chomsky, 1957, p. 49)Historical dictionary of quotations in cognitive science > Grammar
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