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101 mission
( боевая) задача, ( военная) миссия; вылет; полет; стрельба; огневая задача; предназначение; общая задача; задача части [соединения] ( пункт боевого приказа); см. тж. tasktroop carrier (combat) mission — ав. задача по переброске войск
US mission, Berlin — американская (военная) миссия в Западном Берлине
— bacteriological bombing mission— battlefield mission— delaying mission— interception mission— protective mission -
102 component
1) составляющая2) составная часть; компонента3) элемент ( конструкции)4) составляющая ( силы); ингредиент5) слагаемое6) мн. ч. детали7) компонент, узел; блок; деталь8) составной; сложный•- components of stress - active component - alternating component - axial component - bearing component - capacitive component - cementing component - complete component - concrete components - direct component - disposable component - electronic component - energy component - environment component - floating component - force component - glass-fibre reinforced precast component - lifting component - load component - luminous component - machine components - modular building component - mounting components - precast component - prefabricated component - project component - pollution component - roof component - shock component - standardised component - steady component - stress component - structure component - tailor-made component - tangential component - thrust component - transverse component - velocity component - vertical component - wattless component* * *1. составляющая; компонента2. элемент ( конструкции)3. компонент; составная часть; ингредиент- component of rigid rotation
- cementing component
- concrete components
- crane components
- displacement component in X-axis direction
- factory produced building components
- floor component
- force component
- generalized component
- glass-fiber reinforced precast components
- horizontal component
- horizontal component of the reaction
- largest cost component
- load component
- load bearing structural component
- main components of paints
- modular building component
- nonstandard component
- nonstructural component
- normal component of stress
- plant cast reinforced concrete components
- precast component
- shearing-stress components
- strain components
- stress components
- structural component
- variable component
- vertical component
- wall building component -
103 motor
1) двигатель; мотор || двигательный; моторный2) автомобиль•- high hosepower motor - main propulsion motor - rotary hydraulic motor - rotary-plunger hydraulic motor - swash-plate hydraulic motor -
104 jet
I [‹et] noun, adjective((of) a hard black mineral substance, used for ornaments etc: The beads are made of jet; a jet brooch.) (de) jaisII [‹et]1) (a sudden, strong stream or flow (of liquid, gas, flame or steam), forced through a narrow opening: Firemen have to be trained to direct the jets from their hoses accurately.) jet2) (a narrow opening in an apparatus through which a jet comes: This gas jet is blocked.) gicleur3) (an aeroplane driven by jet propulsion: We flew by jet to America.) avion à réaction•- jet-lag- jet-propelled - jet propulsion -
105 over
over ['əʊvə(r)]au-dessus de ⇒ 1A (a) sur ⇒ 1A (b), 1B (a), 1B (b) par-dessus ⇒ 1A (b), 1A (c) plus de ⇒ 1C (a) au sujet de ⇒ 1D (a) plus ⇒ 2B (b) encore ⇒ 2B (d) fini ⇒ 3A.∎ a bullet whistled over my head une balle siffla au-dessus de ma tête;∎ they live over the shop ils habitent au-dessus du magasin;∎ the plane came down over France l'avion s'est écrasé en France(b) (on top of, covering) sur, par-dessus;∎ put a lace cloth over the table mets une nappe en dentelle sur la table;∎ she wore a cardigan over her dress elle portait un gilet par-dessus sa robe;∎ she wore a black dress with a red cardigan over it elle avait une robe noire avec un gilet rouge par-dessus;∎ I put my hand over my mouth j'ai mis ma main devant ma bouche;∎ he had his jacket over his arm il avait sa veste sur le bras;∎ with his hat over his eyes le chapeau enfoncé jusqu'aux yeux;∎ we painted over the wallpaper nous avons peint par-dessus la tapisserie;∎ she was hunched over the wheel elle était penchée sur la roue(c) (across the top or edge of) par-dessus;∎ he was watching me over his newspaper il m'observait par-dessus son journal;∎ I peered over the edge j'ai jeté un coup d'œil par-dessus le rebord;∎ he fell/jumped over the cliff il est tombé/a sauté du haut de la falaise∎ to cross over the road traverser la rue;∎ they live over the road from me ils habitent en face de chez moi;∎ there's a fine view over the valley on a une belle vue sur la vallée;∎ the bridge over the river le pont qui enjambe la rivière;∎ he ran his eye over the article il a parcouru l'article des yeux;∎ she ran her hand over the smooth marble elle passa la main sur le marbre lisse;∎ we travelled for days over land and sea nous avons voyagé pendant des jours par terre et par mer;∎ a strange look came over her face son visage prit une expression étrange∎ the village over the hill le village de l'autre côté de la colline;∎ they must be over the border by now ils doivent avoir passé la frontière maintenantB.∎ to rule over a country régner sur un pays;∎ I have no control/influence over them je n'ai aucune autorité/influence sur eux;∎ she has some kind of hold over him elle a une certaine emprise sur lui;∎ she watched over her children elle surveillait ses enfants(b) (indicating position of superiority, importance) sur;∎ a victory over the forces of reaction une victoire sur les forces réactionnaires;∎ our project takes priority over the others notre projet a priorité sur les autresC.(a) (with specific figure or amount → more than) plus de;∎ it took me well/just over an hour j'ai mis bien plus/un peu plus d'une heure;∎ he must be over thirty il doit avoir plus de trente ans;∎ children over (the age of) 7 les enfants (âgés) de plus de 7 ans;∎ think of a number over 100 pensez à un chiffre supérieur à 100;∎ not over 250 grams (in post office) jusqu'à 250 grammes∎ his voice rang out over the others sa voix dominait toutes les autres;∎ I couldn't hear what she was saying over the music la musique m'empêchait d'entendre ce qu'elle disait∎ eight over two huit divisé par deux∎ I've got a job over the long vacation je vais travailler pendant les grandes vacances;∎ I'll do it over the weekend je le ferai pendant le week-end;∎ what are you doing over Easter? qu'est-ce que tu fais pour Pâques?;∎ it's improved over the years ça s'est amélioré au cours ou au fil des années;∎ over the next few decades au cours des prochaines décennies;∎ over a period of several weeks pendant plusieurs semaines;∎ we discussed it over a drink/over lunch/over a game of golf nous en avons discuté autour d'un verre/pendant le déjeuner/en faisant une partie de golfD.(a) (concerning) au sujet de;∎ a disagreement over working conditions un conflit portant sur les conditions de travail;∎ they're always quarrelling over money ils se disputent sans cesse pour des questions d'argent;∎ to laugh over sth rire (à propos) de qch;∎ there's a big question mark over his future nous n'avons aucune idée de ce qu'il va devenir(b) (by means of, via)∎ they were talking over the telephone ils parlaient au téléphone;∎ I heard it over the radio je l'ai entendu à la radio∎ are you over your bout of flu? est-ce que tu es guéri ou est-ce que tu t'es remis de ta grippe?;∎ he's over the shock now il s'en est remis maintenant;∎ we'll soon be over the worst le plus dur sera bientôt passé;∎ it took her a long time to get over his death elle a mis longtemps à se remettre de sa mort;∎ don't worry, you'll be or get over her soon ne t'en fais pas, bientôt tu n'y penseras plus2 adverbA.(a) (indicating movement or location, across distance or space)∎ an eagle flew over un aigle passa au-dessus de nous;∎ she walked over to him and said hello elle s'approcha de lui pour dire bonjour;∎ he led me over to the window il m'a conduit à la fenêtre;∎ he must have seen us, he's coming over il a dû nous voir, il vient vers nous ou de notre côté;∎ pass my cup over, will you tu peux me passer ma tasse?;∎ she glanced over at me elle jeta un coup d'œil dans ma direction;∎ she leaned over to whisper to him elle se pencha pour lui chuchoter quelque chose à l'oreille;∎ over in the States aux États-Unis;∎ over there là-bas;∎ come over here! viens (par) ici!;∎ has Colin been over? est-ce que Colin est passé?;∎ she drove over to meet us elle est venue nous rejoindre en voiture;∎ let's have or invite them over for dinner si on les invitait à dîner?;∎ we have guests over from Morocco nous avons des invités qui viennent du Maroc∎ she's travelled the whole world over elle a voyagé dans le monde entier;∎ people the world over are watching the broadcast live des téléspectateurs du monde entier assistent à cette retransmission en direct∎ I fell over je suis tombé (par terre);∎ she knocked her glass over elle a renversé son verre;∎ he flipped the pancake over il a retourné la crêpe;∎ they rolled over and over in the grass ils se roulaient dans l'herbe;∎ and over I went et me voilà par terre∎ we just whitewashed it over nous l'avons simplement passé à la chaux;∎ the bodies were covered over with blankets les corps étaient recouverts avec des couvertures(e) (into the hands of another person, group etc)∎ he's gone over to the other side/to the opposition il est passé de l'autre côté/dans l'opposition;∎ they handed him over to the authorities ils l'ont remis aux autorités ou entre les mains des autorités;∎ Radio & Television and now over to Kirsty Jones in Paris nous passons maintenant l'antenne à Kirsty Jones à Paris;∎ over to you (it's your turn) c'est votre tour, c'est à vous;∎ Telecommunications over (to you)! à vous!;∎ over and out! terminé!B.(a) (left, remaining)∎ there were/I had a few pounds (left) over il restait/il me restait quelques livres;∎ you will keep what is (left) over vous garderez l'excédent ou le surplus;∎ seven into fifty-two makes seven with three over cinquante-deux divisé par sept égale sept, il reste trois(b) (with specific figure or amount → more) plus;∎ men of 30 and over les hommes âgés de 30 ans et plus;∎ articles costing £100 or over les articles de 100 livres et plus∎ read it over carefully lisez-le attentivement;∎ do you want to talk the matter over? voulez-vous en discuter?(d) (again, more than once) encore;∎ American I had to do the whole thing over j'ai dû tout refaire;∎ she won the tournament five times over elle a gagné le tournoi à cinq reprisesfini;∎ the party's over la fête est finie;∎ the danger is over le danger est passé;∎ the war was just over la guerre venait de finir ou de s'achever;∎ I'm glad that's over (with)! je suis bien content que ça soit fini!;∎ that's over and done with voilà qui est fini et bien fini4 noun(in cricket) série f de six ballesen plus de;∎ over and above what we've already paid en plus de ce que nous avons déjà payé;∎ and over and above that, he was banned from driving for life en plus, on lui a retiré son permis (de conduire) à vie∎ I've told you over and over (again) je te l'ai répété je ne sais combien de fois;∎ he did it over and over (again) until… il a recommencé des dizaines de fois jusqu'à ce que…ⓘ They think it's all over (...it is now) Ces mots, précédés de la phrase some people are on the pitch... ("il y a quelques personnes sur le terrain"), furent prononcés par Kenneth Wolstenholme, commentateur sportif de la BBC, au moment où Geoff Hurst marqua un dernier but pour l'Angleterre dans les dernières secondes de la finale de la Coupe du monde de football de 1966, qui vit l'Angleterre l'emporter face à la République fédérale d'Allemagne. Aujourd'hui on utilise cette expression ("ils croient que c'est terminé,... maintenant, c'est terminé") en anglais britannique lorsque quelqu'un s'imagine à tort qu'une chose est terminée, ou bien au moment même où cette chose s'achève. -
106 what
what [wɒt]qu'est-ce qui ⇒ 1 (a) que ⇒ 1 (a) qu'est-ce que ⇒ 1 (a) quoi ⇒ 1 (a), 1 (b), 1 (d), 1 (f) ce qui ⇒ 1 (b), 1 (f) ce que ⇒ 1 (b), 1 (f), 1 (g) comment ⇒ 1 (c) combien ⇒ 1 (e) quel ⇒ 2 (a), 31 pronoun(a) (in direct questions → as subject) qu'est-ce qui, que; (→ as object) (qu'est-ce) que, quoi; (→ after preposition) quoi;∎ what do you want? qu'est-ce que tu veux?, que veux-tu?;∎ what's happening? qu'est-ce qui se passe?, que se passe-t-il?;∎ what's new? quoi de neuf?;∎ what's that for? à quoi cela sert-il?, à quoi ça sert?;∎ what's the matter?, what is it? qu'est-ce qu'il y a?;∎ familiar what's it to you? qu'est-ce que ça peut te faire?;∎ what's that? qu'est-ce que c'est que ça?; (what did you say) quoi?;∎ what's that building? qu'est-ce que c'est que ce bâtiment?;∎ what's your phone number? quel est votre numéro de téléphone?;∎ what's her name? comment s'appelle-t-elle?;∎ what's the Spanish for "light"? comment dit-on "light" en espagnol?;∎ what's the boss like? comment est le patron?;∎ what is life without friends? que vaut la vie sans amis?;∎ familiar what's up with him? qu'est-ce qu'il a?□ ;∎ what did I tell you? (gen) qu'est-ce que je vous ai dit?; (I told you so) je vous l'avais bien dit!;∎ she must be, what, 50? elle doit avoir, quoi, 50 ans?;∎ Mum? - what? - can I go out? Maman? - quoi? - est-ce que je peux sortir?;∎ what are you thinking about? à quoi pensez-vous?;∎ what did he die of? de quoi est-il mort?;∎ what do you take me for? pour qui me prenez-vous?;∎ what could be more beautiful? quoi de plus beau?;∎ tell us what happened dites-nous ce qui s'est passé;∎ I wonder what she was thinking about! je me demande ce qui lui est passé par la tête!;∎ I asked what it was all about j'ai demandé de quoi il était question;∎ he didn't understand what I said il n'a pas compris ce que j'ai dit;∎ I don't know what to do je ne sais pas quoi faire;∎ I don't know what to do to help him je ne sais pas quoi faire pour l'aider;∎ I don't know what that building is je ne sais pas ce qu'est ce bâtiment(c) (asking someone to repeat something) comment;∎ what's that? qu'est-ce que tu dis?;∎ they bought what? quoi, qu'est-ce qu'ils ont acheté?(d) (expressing surprise) quoi;∎ what, another new dress? quoi, encore une nouvelle robe?;∎ what, no coffee! comment ou quoi? pas de café?;∎ he's going into the circus - what! il va travailler dans un cirque - quoi?;∎ I found $350 - you what! j'ai trouvé 350 dollars - quoi?;∎ I told her to leave - you did what! je lui ai dit de partir - tu lui as dit quoi?∎ what's 17 minus 4? combien ou que fait 17 moins 4?;∎ what does it cost? combien est-ce que ça coûte?;∎ what do I owe you? combien vous dois-je?;∎ do you know what he was asking for it? savez-vous combien il en demandait?∎ what you need is a hot bath ce qu'il vous faut, c'est un bon bain chaud;∎ they spent what amounted to a week's salary ils ont dépensé l'équivalent d'une semaine de salaire;∎ she has what it takes to succeed elle a ce qu'il faut pour réussir;∎ that's what life is all about! c'est ça la vie!;∎ education is not what it used to be l'enseignement n'est plus ce qu'il était;∎ what is most remarkable is that… ce qu'il y a de plus remarquable c'est que…;∎ it was pretty much what we expected c'était plus ou moins ce qu'on avait imaginé;∎ what's done cannot be undone ce qui est fait est fait;∎ and what is worse… et ce qui est pire…(g) (whatever, everything that)∎ they rescued what they could ils ont sauvé ce qu'ils ont pu;∎ say what you will vous pouvez dire ou vous direz tout ce que vous voudrez;∎ say what you will, I don't believe you racontez tout ce que vous voulez, je ne vous crois pas;∎ come what may advienne que pourra∎ an interesting book, what? un livre intéressant, n'est-ce pas ou pas vrai?∎ I'll tell you what… écoute!;∎ you know what…? tu sais quoi…?;∎ I know what j'ai une idée;∎ you'll never guess what tu ne devineras jamais (quoi);∎ familiar documents, reports and what have you or and what not des documents, des rapports et je ne sais quoi encore□ ;∎ familiar and I don't know what et que sais-je encore□ ;∎ familiar and God knows what et Dieu sait quoi;∎ have you got a flat, rooms or what? vous avez un appartement, une chambre ou quoi?;∎ look, do you want to come or what? alors, tu veux venir ou quoi?;∎ a trip to Turkey? - what next! un voyage en Turquie? - et puis quoi encore!;∎ what have we here? mais que vois-je?;∎ what then? et après?;∎ old-fashioned what ho! eh! ho!; (as greeting) salut!;∎ familiar we need to find out what's what il faut qu'on sache où en sont les choses;∎ familiar she told me what was what elle m'a mis au courant;∎ familiar they know what's what in art ils s'y connaissent en art□ ;∎ familiar I'll show him what's what! je vais lui montrer de quel bois je me chauffe!∎ what books did you buy? quels livres avez-vous achetés?;∎ what colour/size is it? de quelle couleur/taille c'est?;∎ (at) what time will you be arriving? à quelle heure arriverez-vous?;∎ what day is it? quel jour sommes-nous?;∎ what good or use is this? à quoi ça sert?(b) (as many as, as much as)∎ I gave her what money I had je lui ai donné le peu d'argent que j'avais;∎ he gathered what strength he had il a rassemblé le peu de forces qui lui restaient;∎ what time we had left was spent (in) packing on a passé le peu de temps qui nous restait à faire les valises;∎ they stole what little money she had ils lui ont volé le peu d'argent qu'elle avait;∎ I gave her what comfort I could je l'ai consolée autant que j'ai pu∎ (expressing an opinion or a reaction) what a suggestion! quelle idée!;∎ what a strange thing! comme c'est bizarre!;∎ what a pity! comme c'est ou quel dommage!;∎ what an idiot he is! comme il est bête!, qu'il est bête!;∎ what lovely children you have! quels charmants enfants vous avez!;∎ what a lot of people! que de gens!, que de monde!;∎ you can't imagine what a time we had getting here vous ne pouvez pas vous imaginer le mal qu'on a eu à venir jusqu'ici4 adverb∎ (in rhetorical questions) what do I care? qu'est-ce que ça peut me faire?;∎ what does it matter? qu'est-ce que ça peut faire?;∎ well, what of it? et bien?, et après?∎ what about lunch? et si on déjeunait?;∎ when shall we go? - what about Monday? quand est-ce qu'on y va? - (et si on disait) lundi?;∎ what about your promise? - what about my promise? et ta promesse? - ben quoi, ma promesse?;∎ familiar what about it? et alors?;∎ do you remember Lauryn? - what about her? tu te souviens de Lauryn? - oui, et alors?;∎ and what about you? et vous donc?(why) pourquoi?;∎ what did you say that for? pourquoi as-tu dit cela?;∎ I'm leaving town - what for? je quitte la ville - pourquoi?∎ what if we went to the beach? et si on allait à la plage?;∎ he won't come - and what if he doesn't? (supposing) il ne va pas venir - et alors?∎ what with work and the children I don't get much sleep entre le travail et les enfants, je ne dors pas beaucoup;∎ what with paying for dinner and the cab he was left with no cash après avoir payé le dîner et le taxi, il n'avait plus d'argent;∎ what with one thing and another I never got there pour un tas de raisons je n'y suis jamais allé -
107 drive
1. привод; приведение в действие/ приводить в действие2. привод; передачаaccessory driveangle-of-attack driveconstant speed drivedirect drivedoor drivefluid power drivegeared drivejet drivejet reaction drivemain rotor drivepitch drivepitch motion drivepropulsor driveroll driverotor driveV-belt drivevibratory driveyaw drive -
108 aircraft
воздушное судно [суда], атмосферный летательный аппарат [аппараты]; самолёт (ы) ; вертолёты); авиация; авиационный; см. тж. airplane, boostaircraft in the barrier — самолёт, задержанный аварийной (аэродромной) тормозной установкой
aircraft off the line — новый [только что построенный] ЛА
B through F aircraft — самолёты модификаций B, C, D, E и F
carrier(-based, -borne) aircraft — палубный ЛА; авианосная авиация
conventional takeoff and landing aircraft — самолёт с обычными взлетом и посадкой (в отличие от укороченного или вертикального)
keep the aircraft (headed) straight — выдерживать направление полёта ЛА (при выполнении маневра); сохранять прямолинейный полет ЛА
keep the aircraft stalled — сохранять режим срыва [сваливания] самолёта, оставлять самолёт в режиме срыва [сваливания]
nearly wing borne aircraft — верт. ЛА в конце режима перехода к горизонтальному полёту
pull the aircraft off the deck — разг. отрывать ЛА от земли (при взлете)
put the aircraft nose-up — переводить [вводить] ЛА на кабрирование [в режим кабрирования]
put the aircraft through its paces — определять предельные возможности ЛА, «выжимать все из ЛА»
reduced takeoff and landing aircraft — самолёт укороченного взлета и посадки (с укороченным разбегом и пробегом)
rocket(-powered, -propelled) aircraft — ракетный ЛА, ЛА с ракетным двигателем
roll the aircraft into a bank — вводить ЛА в крен, накренять ЛА
rotate the aircraft into the climb — увеличивать угол тангажа ЛА для перехода к набору высоты, переводить ЛА в набор высоты
short takeoff and landing aircraft — самолёт короткого взлета и посадки (с коротким разбегом и пробегом)
single vertical tail aircraft — ЛА с одинарным [центральным] вертикальным оперением
strategic(-mission, -purpose) aircraft — ЛА стратегического назначения; стратегический самолёт
take the aircraft throughout its entire envelope — пилотировать ЛА во всем диапазоне полётных режимов
trim the aircraft to fly hands-and-feet off — балансировать самолёт для полёта с брошенным управлением [с брошенными ручкой и педалями]
turbofan(-engined, -powered) aircraft — ЛА с турбовентиляторными двигателями, ЛА с ТРДД
turbojet(-powered, -propelled) aircraft — ЛА с ТРД
undergraduate navigator training aircraft — учебно-тренировочный самолёт для повышенной лётной подготовки штурманов
water(-based, takeoff and landing) aircraft — гидросамолёт
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109 chamber
камера; камера сгорания; камера; патронникgimbaled thrust chamber — камера ракетного двигателя в кардановом подвесе, ориентируемая камера ракетного двигателя
pivoting thrust chamber — поворотная [шарнирно установленная] камера ракетного двигателя
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110 flight
полет; рейс; перелёт; звено; летательный аппарат ( в полете) ; ркт. стартовый комплекс; лётный; полётный; бортовой1g flight — прямолинейный горизонтальный полет, полет с единичной перегрузкой, полет без ускорения или торможения
45° climbing inverted flight — набор высоты под углом 45° в перевёрнутом положении
45° climbing knife flight — набор высоты под углом 45° с боковым скольжением, подъём «по лезвию» под углом 45°
45° diving knife flight — пикирование под углом 45° с боковым скольжением, пикирование «по лезвию» под углом 45°
45° sliding flight — набор высоты под углом 45° с боковым скольжением, подъём «по лезвию» под углом 45°
45° sliding flight — пикирование под углом 45° с боковым скольжением, пикирование «по лезвию» под углом 45°
90° climbing flight — вертикальный подъём, отвесный набор высоты
break up in flight — разрушаться в воздухе [в полете]
Doppler hold hovering flight — полет на висении со стабилизацией по доплеровскому измерителю скорости сноса
flight at the controls — полет за рычагами управления (в качестве лётчика, пилотирующего самолёт)
flight on the deck — бреющий полет, полет на предельно малой высоте
— q flight -
111 motion
движение, перемещениеdownward motion of air — нисходящее движение воздуха [воздушной массы]
upward motion of air — восходящее движение воздуха [воздушной массы]
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112 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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