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(given normal expectations)

  • 1 for

    for [fɔ:(r)]
    pour ⇒ 1A (a)-(d), 1B (a), 1B (b), 1B (d), 1C (b)-(e), 1C (g), 1C (h) à l'intention de ⇒ 1A (c) dans la direction de ⇒ 1A (d) à ⇒ 1A (e) pendant ⇒ 1B (c) en raison de ⇒ 1C (e) de ⇒ 1C (f) car ⇒ 2
    A.
    ∎ we were in Vienna for a holiday/for work nous étions à Vienne en vacances/pour le travail;
    ∎ what for? pourquoi?;
    ∎ I don't know what she said that for je ne sais pas pourquoi elle a dit ça;
    ∎ what's this knob for? à quoi sert ce bouton?;
    ∎ it's for adjusting the volume ça sert à régler le volume;
    ∎ what's this medicine for? à quoi sert ce médicament?;
    ∎ can you give me something for the pain? est-ce que vous pouvez me donner quelque chose pour ou contre la douleur?;
    ∎ an instrument for measuring temperature un instrument pour mesurer la température;
    ∎ clothes for tall men vêtements mpl pour hommes grands;
    ∎ write for a free catalogue demandez votre catalogue gratuit;
    ∎ for further information write to… pour de plus amples renseignements, écrivez à…;
    ∎ they play for money ils jouent pour de l'argent
    (c) (indicating recipient or beneficiary) pour, à l'intention de;
    ∎ these flowers are for her ces fleurs sont pour elle;
    ∎ there's a phone call for you il y a un appel pour vous;
    ∎ I've got some news for you j'ai une nouvelle à vous annoncer;
    ∎ he left a note for them il leur a laissé un mot, il a laissé un mot à leur intention;
    ∎ opera is not for me l'opéra, ça n'est pas pour moi;
    ∎ you are the man for me/the job vous êtes l'homme qu'il me faut/qui convient pour ce poste;
    ∎ that is just the thing for you c'est juste ce qu'il vous faut;
    ∎ equal pay for women un salaire égal pour les femmes;
    ∎ parking for customers only (sign) parking réservé à la clientèle;
    ∎ what can I do for you? que puis-je faire pour vous?;
    ∎ he's doing everything he can for us il fait tout son possible pour nous;
    ∎ a collection for the poor une quête pour les ou en faveur des pauvres;
    ∎ it's for your own good c'est pour ton bien;
    ∎ he often cooks for himself il se fait souvent la cuisine;
    ∎ see for yourself! voyez par vous-même!;
    ∎ she writes for a sports magazine elle écrit des articles pour un magazine de sport;
    ∎ I work for an advertising agency je travaille pour une agence de publicité
    (d) (indicating direction, destination) pour, dans la direction de;
    ∎ they left for Spain ils sont partis pour l'Espagne;
    ∎ before leaving for the office avant de partir au bureau;
    ∎ she ran for the door elle s'est précipitée vers la porte en courant;
    ∎ he made for home il a pris la direction de la maison;
    ∎ the ship made for port le navire a mis le cap sur le port;
    ∎ the train for London le train pour ou à destination de ou en direction de Londres;
    ∎ trains for the suburbs les trains pour la banlieue;
    ∎ change trains here for Beaune changez de train ici pour Beaune;
    ∎ flight 402 bound for Chicago is now boarding les passagers du vol 402 à destination de Chicago sont invités à se présenter à l'embarquement
    ∎ for rent (sign) à louer;
    ∎ for sale (sign) à vendre;
    ∎ these books are for reference only ces livres sont à consulter sur place
    B.
    (a) (indicating span of time → past, future) pour, pendant; (→ action uncompleted) depuis;
    ∎ they're going away for the weekend ils partent pour le week-end;
    ∎ they will be gone for some time ils seront absents (pendant ou pour) quelque temps;
    ∎ they were in Spain for two weeks ils étaient en Espagne pour deux semaines;
    ∎ she won't be back for a month elle ne sera pas de retour avant un mois;
    ∎ I lived there for one month j'y ai vécu pendant un mois;
    ∎ I've lived here for two years j'habite ici depuis deux ans;
    ∎ I'd only lived there for a week when the heating went wrong je n'habitais là que depuis une semaine quand la chaudière est tombée en panne;
    ∎ my mother has been here for two weeks ma mère est ici depuis deux semaines;
    ∎ you haven't been here for a long time il y a ou voilà ou ça fait longtemps que vous n'êtes pas venu;
    ∎ we've known them for years nous les connaissons depuis des années, il y a des années que nous les connaissons;
    ∎ I have not seen him for three years il y a trois ans que je ne l'ai vu;
    ∎ she won't be able to go out for another day or two elle devra rester sans sortir pendant encore un jour ou deux;
    ∎ can you stay for a while? pouvez-vous rester un moment?;
    ∎ it's the worst accident for years c'est le pire accident qui soit arrivé depuis des années;
    ∎ we have food for three days nous avons des vivres pour trois jours
    ∎ I went home for Christmas je suis rentré chez moi pour Noël;
    ∎ he took me out to dinner for my birthday il m'a emmené dîner au restaurant pour mon anniversaire;
    ∎ we made an appointment for the 6th nous avons pris rendez-vous pour le 6;
    ∎ the meeting was set for five o'clock la réunion était fixée pour cinq heures;
    ∎ it's time for bed c'est l'heure de se coucher ou d'aller au lit;
    ∎ there's no time for that il n'y a pas de temps pour ça;
    ∎ for the last/third time pour la dernière/troisième fois
    ∎ you could see for miles around on voyait à des kilomètres à la ronde;
    ∎ we walked for several miles nous avons marché pendant plusieurs kilomètres;
    ∎ they drove for miles without seeing another car ils ont roulé (pendant) des kilomètres sans croiser une seule voiture;
    ∎ bends for one mile (sign) virages sur un mil(l)e
    ∎ they paid him £100 for his services ils lui ont donné 100 livres pour ses services;
    ∎ you can hire a car for twenty pounds a day on peut louer une voiture pour vingt livres par jour;
    ∎ it's £2 for a ticket c'est 2 livres le billet;
    ∎ he's selling it for £200 il le vend 200 livres;
    ∎ I wrote a cheque for £15 j'ai fait un chèque de 15 livres;
    ∎ three for £5 trois pour 5 livres;
    ∎ put me down for £5 inscrivez-moi pour 5 livres
    C.
    (a) (indicating exchange, equivalence)
    ∎ do you have change for a pound? vous avez la monnaie d'une livre?;
    ∎ he exchanged the bike for another model il a échangé le vélo contre ou pour un autre modèle;
    ∎ what will you give me in exchange for this book? que me donnerez-vous en échange de ce livre?;
    ∎ he gave blow for blow il a rendu coup pour coup;
    ∎ "salvia" is the Latin term for "sage" "salvia" veut dire "sage" en latin;
    ∎ what's the Spanish for "good"? comment dit-on "good" en espagnol?;
    ∎ F for François F comme François;
    ∎ what's the M for? qu'est-ce que le M veut dire?;
    ∎ red for danger rouge veut dire danger;
    ∎ he has cereal for breakfast il prend des céréales au petit déjeuner;
    ∎ to have sb for a teacher avoir qn comme professeur;
    ∎ I know it for a fact je sais que c'est vrai;
    ∎ I for one don't care pour ma part, je m'en fiche;
    ∎ do you take me for a fool? me prenez-vous pour un imbécile?
    ∎ there's one woman applicant for every five men sur six postulants il y a une femme et cinq hommes;
    ∎ for every honest politician there are a hundred dishonest ones pour un homme politique honnête, il y en a cent qui sont malhonnêtes
    ∎ I'm speaking for all parents je parle pour ou au nom de tous les parents;
    ∎ the lawyer was acting for his client l'avocat agissait au nom de ou pour le compte de son client;
    ∎ I'll go to the meeting for you j'irai à la réunion à votre place;
    ∎ the representative for the union le représentant du syndicat
    ∎ I'm all for it je suis tout à fait pour;
    ∎ for or against pour ou contre;
    ∎ vote for Smith! votez (pour) Smith!;
    ∎ they voted for the proposal ils ont voté en faveur de la proposition;
    ∎ he's for the ecologists il est pour les écologistes;
    ∎ I'm for shortening the hunting season je suis pour une saison de chasse plus courte;
    ∎ who's for a drink? qui veut boire un verre?;
    ∎ I'm for bed je vais me coucher;
    ∎ Law judgement for the plaintiff arrêt m en faveur du demandeur
    (e) (because of) pour, en raison de;
    ∎ candidates were selected for their ability les candidats ont été retenus en raison de leurs compétences;
    ∎ she couldn't sleep for the pain la douleur l'empêchait de dormir;
    ∎ he's known for his wit il est connu pour son esprit;
    ∎ the region is famous for its wine la région est célèbre pour son vin;
    ∎ she's in prison for treason elle est en prison pour trahison;
    ∎ he couldn't speak for laughing il ne pouvait pas parler tellement il riait;
    ∎ you'll feel better for a rest vous vous sentirez mieux quand vous vous serez reposé;
    ∎ if it weren't for you, I'd leave sans vous, je partirais;
    ∎ for this reason pour cette raison;
    ∎ for fear of waking him de crainte de le réveiller;
    ∎ do it for my sake faites-le pour moi;
    ∎ for old time's sake en souvenir du passé
    (f) (indicating cause, reason) de;
    ∎ the reason for his leaving la raison de son départ;
    ∎ there are no grounds for believing it's true il n'y a pas de raison de croire que c'est vrai;
    ∎ she apologized for being late elle s'est excusée d'être en retard;
    ∎ I thanked him for his kindness je l'ai remercié de ou pour sa gentillesse
    (g) (concerning, as regards) pour;
    ∎ so much for that voilà qui est classé;
    ∎ for my part, I refuse to go pour ma part ou quant à moi, je refuse d'y aller;
    ∎ I'm very happy for her je suis très heureux pour elle;
    ∎ what are her feelings for him? quels sont ses sentiments pour lui?;
    ∎ for sheer impudence his remarks are hard to beat pour ce qui est de l'effronterie, ses commentaires sont imbattables
    ∎ it's warm for March il fait bon pour un mois de mars;
    ∎ that's a good score for him c'est un bon score pour lui;
    ∎ she looks very young for her age elle fait très jeune pour son âge
    ∎ it's not for him to decide il ne lui appartient pas ou ce n'est pas à lui de décider;
    ∎ it's not for her to tell me what to do ce n'est pas à elle de me dire ce que je dois faire;
    ∎ it was difficult for her to apologize il lui était difficile de s'excuser;
    ∎ I have brought it for you to see je l'ai apporté pour que vous le voyiez;
    ∎ this job is too complicated for us to finish today ce travail est trop compliqué pour que nous le finissions aujourd'hui;
    ∎ there is still time for her to finish elle a encore le temps de finir;
    ∎ it took an hour for the taxi to get to the station le taxi a mis une heure pour aller jusqu'à la gare;
    ∎ for us to arrive on time we'd better leave now si nous voulons être à l'heure, il vaut mieux partir maintenant;
    ∎ the easiest thing would be for you to lead the way le plus facile serait que vous nous montriez le chemin;
    ∎ there's no need for you to worry il n'y a pas de raison de vous inquiéter;
    ∎ it is usual for the mother to accompany her daughter il est d'usage que la mère accompagne sa fille
    D.
    ∎ oh for a holiday! ah, si je pouvais être en vacances!;
    ∎ oh for some peace and quiet! que ne donnerais-je pour la paix!;
    ∎ familiar you'll be (in) for it if your mother sees you! ça va être ta fête si ta mère te voit!;
    ∎ familiar now we're (in) for it! qu'est-ce qu'on va prendre!
    ∎ there's nothing for it but to pay him il n'y a qu'à ou il ne nous reste qu'à le payer;
    ∎ that's the postal service for you! ça c'est bien la poste!
    formal car, parce que;
    ∎ I was surprised when he arrived punctually, for he was usually late je fus surpris de le voir arriver à l'heure, car il était souvent en retard
    (a) (in spite of) malgré;
    ∎ for all their efforts malgré tous leurs efforts;
    ∎ for all his success, he's very insecure malgré sa réussite, il manque vraiment de confiance en soi
    ∎ for all the use he is he might as well go and play pour ce qu'il fait d'utile il peut aussi bien aller jouer;
    ∎ for all the sense it made pour ce que c'était clair
    ∎ for all she may say quoi qu'elle en dise;
    ∎ for all the good it does pour tout l'effet que ça fait;
    ∎ it may be true for all I know c'est peut-être vrai, je n'en sais rien
    pour autant, malgré tout
    2 conjunction esp literary for all that he wanted to believe them pour autant qu'il veuille les croire
    (last, continue) pour toujours; (leave) pour toujours, sans retour;
    ∎ for ever and a day jusqu'à la fin des temps;
    ∎ for ever and ever à tout jamais, éternellement;
    ∎ for ever and ever, amen pour les siècles des siècles, amen;
    ∎ to live for ever vivre éternellement;
    ∎ Scotland for ever! vive l'Écosse!

    Un panorama unique de l'anglais et du français > for

  • 2 Artificial Intelligence

       In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)
       Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)
       Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....
       When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)
       4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, Eventually
       Just as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)
       Many problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)
       What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)
       [AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)
       The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)
       9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract Form
       The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)
       There are many different kinds of reasoning one might imagine:
        Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."
        Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)
       Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)
       Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)
       The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)
        14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory Formation
       It is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)
       We might distinguish among four kinds of AI.
       Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.
       Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.
    ... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)
       Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)
        16) Determination of Relevance of Rules in Particular Contexts
       Even if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)
       Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)
        18) The Assumption That the Mind Is a Formal System
       Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)
        19) A Statement of the Primary and Secondary Purposes of Artificial Intelligence
       The primary goal of Artificial Intelligence is to make machines smarter.
       The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)
       The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....
       AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)
        21) Perceptual Structures Can Be Represented as Lists of Elementary Propositions
       In artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)
       Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)
       Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)
       The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)

    Historical dictionary of quotations in cognitive science > Artificial Intelligence

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