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121 open

open ['əʊpən]

ouvert ⇒ 1 (a)-(d), 1 (n), 1 (o), 1 (q)-(s) découvert ⇒ 1 (e) dégagé ⇒ 1 (g) vacant ⇒ 1 (h) libre ⇒ 1 (h) non résolu ⇒ 1 (k) franc ⇒ 1 (n) ouvrir ⇒ 2 (a)-(g), 3 (d) déboucher ⇒ 2 (a) commencer ⇒ 2 (e), 3 (e) engager ⇒ 2 (e) dégager ⇒ 2 (g) s'ouvrir ⇒ 3 (a)-(c)

1 adjective

(a) (not shut → window, cupboard, suitcase, jar, box, sore, valve) ouvert;

∎ her eyes were slightly open/wide open ses yeux étaient entrouverts/grands ouverts;

∎ he kicked the door open il a ouvert la porte d'un coup de pied;

∎ the panels slide open les panneaux s'ouvrent en coulissant;

∎ to smash/lever sth open ouvrir qch en le fracassant/à l'aide d'un levier;

∎ I can't get the bottle open je n'arrive pas à ouvrir la bouteille;

∎ there's a bottle already open in the fridge il y a une bouteille entamée dans le frigo;

∎ you won't need the key, the door's open tu n'auras pas besoin de la clef, la porte est ouverte

(b) (not fastened → coat, fly, packet) ouvert;

∎ his shirt was open to the waist sa chemise était ouverte ou déboutonnée jusqu'à la ceinture;

∎ his shirt was open at the neck le col de sa chemise était ouvert;

∎ her blouse hung open son chemisier était déboutonné;

∎ the wrapping had been torn open l'emballage avait été arraché ou déchiré

(c) (spread apart, unfolded → arms, book, magazine, umbrella) ouvert; (→ newspaper) ouvert, déplié; (→ legs, knees) écarté;

∎ the book lay open at page 6 le livre était ouvert à la page 6;

∎ I dropped the coin into his open hand or palm j'ai laissé tomber la pièce de monnaie dans le creux de sa main;

∎ the seams had split open les coutures avaient craqué;

∎ he ran into my open arms il s'est précipité dans mes bras

(d) (for business) ouvert;

∎ I couldn't find a bank open je n'ai pas pu trouver une banque qui soit ouverte;

∎ are you open on Saturdays? ouvrez-vous le samedi?;

∎ we're open for business as usual nous sommes ouverts comme à l'habitude;

∎ open to the public (museum etc) ouvert ou accessible au public;

∎ open late ouvert en nocturne

(e) (not covered → carriage, wagon, bus) découvert; (→ car) décapoté; (→ grave) ouvert; (→ boat) ouvert, non ponté; (→ courtyard, sewer) à ciel ouvert;

∎ the passengers sat on the open deck les passagers étaient assis sur le pont;

∎ the wine should be left open to breathe il faut laisser la bouteille ouverte pour que le vin puisse respirer

(f) (not enclosed → hillside, plain)

∎ the shelter was open on three sides l'abri était ouvert sur trois côtés;

∎ the hill was open to the elements la colline était exposée à tous les éléments;

∎ our neighbourhood lacks open space notre quartier manque d'espaces verts;

∎ the wide open spaces of Texas les grands espaces du Texas;

∎ shanty towns sprang up on every scrap of open ground des bidonvilles ont surgi sur la moindre parcelle de terrain vague;

∎ they were attacked in open country ils ont été attaqués en rase campagne;

∎ open countryside stretched away to the horizon la campagne s'étendait à perte de vue;

∎ open grazing land pâturages mpl non clôturés;

∎ ahead lay a vast stretch of open water au loin s'étendait une vaste étendue d'eau;

∎ in the open air en plein air;

∎ nothing beats life in the open air il n'y a rien de mieux que la vie au grand air;

∎ he took to the open road il a pris la route;

∎ it'll do 150 on the open road elle monte à 150 sur l'autoroute;

∎ the open sea la haute mer, le large

(g) (unobstructed → road, passage) dégagé; (→ mountain pass) ouvert, praticable; (→ waterway) ouvert à la navigation; (→ view) dégagé;

∎ only one lane on the bridge is open il n'y a qu'une voie ouverte à la circulation sur le pont

(h) (unoccupied, available → job) vacant; (→ period of time) libre;

∎ we have two positions open nous avons deux postes à pourvoir;

∎ I'll keep this Friday open for you je vous réserverai ce vendredi;

∎ she likes to keep her weekends open elle préfère ne pas faire de projets pour le week-end;

∎ it's the only course of action open to us c'est la seule chose que nous puissions faire;

∎ she used every opportunity open to her elle a profité de toutes les occasions qui se présentaient à elle;

∎ he wants to keep his options open il ne veut pas s'engager

(i) (unrestricted → competition) ouvert (à tous); (→ meeting, trial) public; (→ society) ouvert, démocratique;

∎ the contest is not open to company employees le concours n'est pas ouvert au personnel de la société;

∎ club membership is open to anyone aucune condition particulière n'est requise pour devenir membre du club;

∎ a career open to very few une carrière accessible à très peu de gens ou très fermée;

∎ there are few positions of responsibility open to immigrants les immigrés ont rarement accès aux postes de responsabilité;

∎ the field is wide open for someone with your talents pour quelqu'un d'aussi doué que vous, ce domaine offre des possibilités quasi illimitées;

∎ to extend an open invitation to sb inviter qn à venir chez soi quand il le souhaite;

∎ it's an open invitation to tax-dodgers/thieves c'est une invitation à la fraude fiscale/aux voleurs;

∎ American familiar Reno was a pretty open town in those days à cette époque, Reno était aux mains des hors-la-loi^□ ;

∎ they have an open marriage ils forment un couple très libre

(j) (unprotected, unguarded → flank, fire) ouvert; (→ wiring) non protégé;

∎ the two countries share miles of open border les deux pays sont séparés par des kilomètres de frontière non matérialisée;

∎ Sport he missed an open goal il n'y avait pas de défenseurs, et il a raté le but;

∎ to lay oneself open to criticism prêter le flanc à la critique

(k) (undecided → question) non résolu, non tranché;

∎ the election is still wide open l'élection n'est pas encore jouée;

∎ it's still an open question whether he'll resign or not on ne sait toujours pas s'il va démissionner;

∎ I prefer to leave the matter open je préfère laisser cette question en suspens;

∎ he wanted to leave the date open il n'a pas voulu fixer de date

(l) (liable)

∎ his speech is open to misunderstanding son discours peut prêter à confusion;

∎ the prices are not open to negotiation les prix ne sont pas négociables;

∎ the plan is open to modification le projet n'a pas encore été finalisé;

∎ it's open to debate whether she knew about it or not on peut se demander si elle était au courant;

∎ open to doubt douteux

(m) (receptive)

∎ to be open to suggestions être ouvert aux suggestions;

∎ I don't want to go but I'm open to persuasion je ne veux pas y aller mais je pourrais me laisser persuader;

∎ I try to keep an open mind about such things j'essaie de ne pas avoir de préjugés sur ces questions;

∎ open to any reasonable offer disposé à considérer toute offre raisonnable

(n) (candid → person, smile, countenance) ouvert, franc (franche); (→ discussion) franc (franche);

∎ let's be open with each other soyons francs l'un avec l'autre;

∎ they weren't very open about their intentions ils se sont montrés assez discrets en ce qui concerne leurs intentions;

∎ he is open about his homosexuality il ne cache pas son homosexualité

(o) (blatant → contempt, criticism, conflict, disagreement) ouvert; (→ attempt) non dissimulé; (→ scandal) public; (→ rivalry) déclaré;

∎ her open dislike son aversion déclarée;

∎ the country is in a state of open civil war le pays est en état de véritable guerre civile;

∎ they are in open revolt ils sont en révolte ouverte;

∎ they acted in open violation of the treaty ce qu'ils ont fait constitue une violation flagrante du traité;

∎ they showed an open disregard for the law ils ont fait preuve d'un manque de respect flagrant face à la loi;

∎ it's an open admission of guilt cela équivaut à un aveu

(p) (loose → weave) lâche

(q) Sport (play → free-flowing) ouvert, dégagé

(r) Linguistics (vowel, syllable) ouvert

(s) Electricity (circuit) ouvert

(t) British Finance (cheque) non barré

(u) Music (string) à vide

2 transitive verb

(a) (window, lock, shop, eyes, border) ouvrir; (wound) rouvrir; (bottle, can) ouvrir, déboucher; (wine) déboucher;

∎ open quotations or inverted commas ouvrez les guillemets;

∎ she opened her eyes very wide elle ouvrit grand les yeux, elle écarquilla les yeux;

∎ they plan to open the border to refugees ils projettent d'ouvrir la frontière aux réfugiés;

∎ Photography open the aperture one more stop ouvrez d'un diaphragme de plus;

∎ figurative to open one's heart to sb se confier à qn;

∎ we must open our minds to new ideas nous devons être ouverts aux idées nouvelles

(b) (unfasten → coat, envelope, gift, collar) ouvrir

(c) (unfold, spread apart → book, umbrella, penknife, arms, hand) ouvrir; (→ newspaper) ouvrir, déplier; (→ legs, knees) écarter

(d) (pierce → hole) percer; (→ breach) ouvrir; (→ way, passage) ouvrir, frayer;

∎ to open a road through the jungle ouvrir une route à travers la jungle;

∎ the agreement opens the way for peace l'accord va mener à la paix

(e) (start → campaign, discussion, account, trial) ouvrir, commencer; (→ negotiations) ouvrir, engager; (→ conversation) engager, entamer; Banking & Finance (→ account, loan) ouvrir;

∎ her new film opened the festival son dernier film a ouvert le festival;

∎ to open a file on sb ouvrir un dossier sur qn;

∎ to open fire (on or at sb) ouvrir le feu (sur qn);

∎ to open the bidding (in bridge) ouvrir (les enchères);

∎ to open the betting (in poker) lancer les enchères;

∎ Finance to open a line of credit ouvrir un crédit;

∎ to open Parliament ouvrir la session du Parlement;

∎ Law to open the case exposer les faits

(f) (set up → shop, business) ouvrir; (inaugurate → hospital, airport, library) ouvrir, inaugurer

(g) (clear, unblock → road, lane, passage) dégager; (→ mountain pass) ouvrir

3 intransitive verb

(a) (door, window) (s')ouvrir; (suitcase, valve, padlock, eyes) s'ouvrir;

∎ the window opens outwards la fenêtre (s')ouvre vers l'extérieur;

∎ open wide! ouvrez grand!;

∎ to open, press down and twist pour ouvrir, appuyez et tournez;

∎ both rooms open onto the corridor les deux chambres donnent ou ouvrent sur le couloir;

∎ figurative the heavens opened and we got drenched il s'est mis à tomber des trombes d'eau et on s'est fait tremper

(b) (unfold, spread apart → book, umbrella, parachute) s'ouvrir; (→ bud, leaf) s'ouvrir, s'épanouir;

∎ a new life opened before her une nouvelle vie s'ouvrait devant elle

(c) (gape → chasm) s'ouvrir

(d) (for business) ouvrir;

∎ what time do you open on Sundays? à quelle heure ouvrez-vous le dimanche?;

∎ the doors open at 8 p.m. les portes ouvrent à 20 heures;

∎ to open late ouvrir en nocturne

(e) (start → campaign, meeting, discussion, concert, play, story) commencer;

∎ the book opens with a murder le livre commence par un meurtre;

∎ the hunting season opens in September la chasse ouvre en septembre;

∎ she opened with a statement of the association's goals elle commença par une présentation des buts de l'association;

∎ the film opens next week le film sort la semaine prochaine;

∎ Theatre when are you opening? quand aura lieu la première?;

∎ when it opened on Broadway, the play flopped lorsqu'elle est sortie à Broadway, la pièce a fait un four;

∎ the Dow Jones opened at 2461 le Dow Jones a ouvert à 2461;

∎ to open with two clubs (in bridge) ouvrir de deux trèfles

4 noun

(a) (outdoors, open air)

∎ (out) in the open (gen) en plein air, dehors; (in countryside) au grand air;

∎ eating (out) in the open gives me an appetite manger au grand air me donne de l'appétit;

∎ to sleep in the open dormir à la belle étoile

(b) (public eye)

∎ to bring sth (out) into the open exposer ou étaler qch au grand jour;

∎ the riot brought the instability of the regime out into the open l'émeute a révélé l'instabilité du régime;

∎ the conflict finally came out into the open le conflit a finalement éclaté au grand jour

(c) Sport open m;

∎ the British Open (golf) l'open m ou le tournoi open de Grande-Bretagne;

∎ the French Open (tennis) Roland-Garros

►► Banking open account compte m ouvert;

open bar buvette f gratuite, bar m gratuit;

Banking open cheque chèque m ouvert ou non barré;

Military & Politics open city ville f ouverte;

School open classroom classe f primaire à activités libres;

Stock Exchange open contract position f ouverte;

Finance open credit crédit m à découvert;

British open day journée f portes ouvertes;

Economics open economy économie f ouverte;

open house American (open day) journée f portes ouvertes; (party) grande fête f;

∎ British to keep open house tenir table ouverte;

open inquiry enquête f publique;

British open learning enseignement m à la carte (par correspondance ou à temps partiel);

open letter lettre f ouverte;

∎ an open letter to the President une lettre ouverte au Président;

open market marché m libre;

∎ to buy sth on the open market acheter qch sur le marché libre;

∎ Stock Exchange to buy shares on the open market acheter des actions en Bourse;

open mike = période pendant laquelle les clients d'un café-théâtre ou d'un bar peuvent chanter ou raconter des histoires drôles au micro;

open mesh mailles fpl lâches;

Stock Exchange open money market marché m libre des capitaux;

Stock Exchange open outcry criée f;

Stock Exchange open outcry system système m de criée;

open pattern motif m aéré;

Insurance open policy police f flottante;

Stock Exchange open position position f ouverte;

American Politics open primary = élection primaire américaine ouverte aux non-inscrits d'un parti;

open prison prison f ouverte;

open sandwich (gen) tartine f; (cocktail food) canapé m;

open season saison f;

∎ the open season for hunting la saison de la chasse;

∎ figurative the tabloid papers have declared open season on the private lives of rock stars les journaux à scandale se sont mis à traquer les stars du rock dans leur vie privée;

Aviation & Theatre open seating places fpl non réservées;

British open secret secret m de Polichinelle;

∎ it's an open secret that Alison will get the job c'est Alison qui aura le poste, ce n'est un secret pour personne;

open sesame

1 exclamation

sésame, ouvre-toi!

2 noun

British (means to success) sésame m;

∎ good A level results aren't necessarily an open sesame to university de bons résultats aux "A levels" n'ouvrent pas forcément la porte de l'université;

Industry open shop British (open to non-union members) = entreprise ne pratiquant pas le monopole d'embauche; American (with no union) établissement m sans syndicat;

open ticket billet m open;

Sport open tournament (tournoi m) open m;

British Open University = enseignement universitaire par correspondance doublé d'émissions de télévision ou de radio;

Law open verdict verdict m de décès sans cause déterminée

➲ open out

1 intransitive verb

(a) (unfold → bud, petals) s'ouvrir, s'épanouir; (→ parachute) s'ouvrir; (→ sail) se gonfler;

∎ the sofa opens out into a bed le canapé est convertible en lit;

∎ the doors open out onto a terrace les portes donnent ou s'ouvrent sur une terrasse

(b) (lie → vista, valley) s'étendre, s'ouvrir;

∎ miles of wheatfields opened out before us des champs de blé s'étendaient devant nous à perte de vue

(c) (widen → path, stream) s'élargir;

∎ the river opens out into a lake la rivière se jette dans un lac;

∎ the trail finally opens out onto a plateau la piste débouche sur un plateau

(d) British figurative (become less reserved) s'ouvrir;

∎ he opened out after a few drinks quelques verres ont suffi à le faire sortir de sa réserve

2 separable transitive verb

(unfold → newspaper, deck chair, fan) ouvrir;

∎ the peacock opened out its tail le paon a fait la roue

➲ open up

1 intransitive verb

(a) (unlock the door) ouvrir;

∎ open up or I'll call the police! ouvrez, sinon j'appelle la police!;

∎ open up in there! ouvrez, là-dedans!

(b) (become available → possibility) s'ouvrir;

∎ we may have a position opening up in May il se peut que nous ayons un poste disponible en mai;

∎ new markets are opening up de nouveaux marchés sont en train de s'ouvrir

(c) (for business → shop, branch etc) (s')ouvrir;

∎ a new hotel opens up every week un nouvel hôtel ouvre ses portes chaque semaine

(d) (start firing → guns) faire feu, tirer; (→ troops, person) ouvrir le feu, se mettre à tirer

(e) (become less reserved → person) s'ouvrir; (→ discussion) s'animer;

∎ he won't open up even to me il ne s'ouvre pas, même à moi;

∎ he needs to open up about his feelings il a besoin de dire ce qu'il a sur le cœur ou de s'épancher;

∎ I got her to open up about her doubts j'ai réussi à la convaincre de me faire part de ses doutes

(f) (become interesting) devenir intéressant;

∎ things are beginning to open up in my field of research ça commence à bouger dans mon domaine de recherche;

∎ the game opened up in the last half le match est devenu plus ouvert après la mi-temps

2 separable transitive verb

(a) (crate, gift, bag, tomb) ouvrir;

∎ we're opening up the summer cottage this weekend nous ouvrons la maison de campagne ce week-end;

∎ the sleeping bag will dry faster if you open it up le sac de couchage séchera plus vite si tu l'ouvres

(b) (for business) ouvrir;

∎ each morning, Lucy opened up the shop chaque matin, Lucy ouvrait la boutique;

∎ he wants to open up a travel agency il veut ouvrir une agence de voyages

(c) (for development → isolated region) désenclaver; (→ quarry, oilfield) ouvrir, commencer l'exploitation de; (→ new markets) ouvrir;

∎ irrigation will open up new land for agriculture l'irrigation permettra la mise en culture de nouvelles terres;

∎ the airport opened up the island for tourism l'aéroport a ouvert l'île au tourisme;

∎ a discovery which opens up new fields of research une découverte qui crée de nouveaux domaines de recherche;

∎ the policy opened up possibilities for closer cooperation la politique a créé les conditions d'une coopération plus étroite

(d) familiar (accelerate)

∎ he opened it or her up il a accéléré à fond

Un panorama unique de l'anglais et du français > open
122 go too far

зaйти cлишкoм дaлeкo, пepeйти гpaницы

After all, even a sense of humour can go too far. It can become mere cynicism (J. Lindsay). Of course, Caroline liked to have Meredith on a string more or less - the devoted, platonic friend who would never, never go too far. She was that kind of woman (A. Christie)

Concise English-Russian phrasebook > go too far
123 Artificial Intelligence

   1) Programs and the Complexity of Human Mental Processes

   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)

   2) Artificial Intelligence Is an Engineering Discipline

   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)

   3) A Sceptical View of Artificial Intelligence

   Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inﬂated predictions....

   When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)

   4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, Eventually

   Just as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)

   5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the Program

   Many problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)

   6) The Meaning of a Symbolic Description

   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)

   7) The Principle of Artificial Intelligence

   [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)

   8) Artificial Intelligence Recognizes the Need for Knowledge in Its Systems

   The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)

   9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract Form

   The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)

    10) There Are Many Types of Reasoning

   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)

    11) Programs Are Beginning to Do Things That Critics Have Asserted to Be Impossible

   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)

    12) The Synthesis of Man and Machine

   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)

    13) The Thesis of Good Old-Fashioned Artificial Intelligence (GOFAI)

   The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)

    14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory Formation

   It is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)

    15) Four Kinds of Artificial Intelligence

   We might distinguish among four kinds of AI.

   ♦ Nonpsychological 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.

   ♦ Weak Psychological AI

   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.

   ♦ Strong Psychological AI

... 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)

   ♦ Suprapsychological AI

   Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)

    16) Determination of Relevance of Rules in Particular Contexts

   Even if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)

    17) Form and Content Are Not Fundamentally Different

   Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)

    18) The Assumption That the Mind Is a Formal System

   Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)

    19) A Statement of the Primary and Secondary Purposes of Artificial Intelligence

   The primary goal of Artificial Intelligence is to make machines smarter.

   The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)

    20) Mathematical Logic Provides the Basis for Theory in AI

   The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....

   AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)

    21) Perceptual Structures Can Be Represented as Lists of Elementary Propositions

   In artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)

    22) Definitions of Artificial Intelligence

   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)

    23) The Computer Can Not Be a Model of the Mind

   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)

    24) Computers Will Not Always Be Inferior to Human Brains

   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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