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1 prediction
nпредсказание; прогноз; прогнозирование- feasibility prediction
- long-run prediction
- long-term prediction
- short-term prediction -
2 Delphi technique
Gen Mgta qualitative forecasting method in which a panel of experts respond individually to a questionnaire or series of questionnaires, before reaching a consensus. The Delphi technique requires individual submission of, and response to, the questionnaire on the topic under investigation, in order to avoid the effect of a dominant personality influencing a group discussion. A summary of the written replies is then distributed so that responses can be revised in the light of the views expressed. This cycle is repeated until the coordinator of the group is satisfied that the best possible consensus has been reached. The Delphi technique was developed at the Rand Corporation during the late 1940s and 1950s and owes its name to the Greek oracle at Delphi, which was believed to make predictions about the future. -
3 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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4 prediction
- ʃənnoun I'm making no predictions about the result of the race.) predicción, pronósticoprediction n predicción / pronósticotr[prɪ'dɪkʃən]1 predicción nombre femenino, pronósticoprediction [pri'dɪkʃən] n: pronóstico m, predicción fn.• indicación s.f.• predicción s.f.• pronóstico s.m.• vaticinio s.m.prɪ'dɪkʃənto make a prediction about something — predecir* or pronosticar* algo
b) u ( act) predicción f[prɪ'dɪkʃǝn]N1) (=forecast) (by expert, layman) predicción f ; (by clairvoyant, oracle) vaticinio m, profecía ftheir prediction that house prices would fall — su predicción de que el precio de la vivienda iba a bajar
there were dire predictions that thousands would die of malnutrition — hubo predicciones alarmantes de que miles de personas morirían por desnutrición
to make a prediction about sth — pronosticar or predecir algo
2) (=act)weather prediction has never been a perfect science — pronosticar el tiempo nunca ha sido una ciencia exacta
* * *[prɪ'dɪkʃən]to make a prediction about something — predecir* or pronosticar* algo
b) u ( act) predicción f -
5 upset
1. transitive verb,-tt-, upset1) (overturn) umkippen; (accidentally) umstoßen [Tasse, Vase, Milch usw.]upset something over something — etwas über etwas (Akk.) kippen
2) (distress) erschüttern; mitnehmen (ugs.); (disturb the composure or temper of) aus der Fassung bringen; (shock, make angry, excite) aufregendon't let it upset you — nimm es nicht so schwer
4) (disorganize) stören; durcheinander bringen [Plan, Berechnung, Arrangement]2. intransitive verb,-tt-, upset umkippen3. adjective1) (overturned) umgekippt2) (distressed) bestürzt; (agitated) aufgeregt; (unhappy) unglücklich; (put out) aufgebracht; verärgert; (offended) gekränktbe upset [about something] — (be distressed) [über etwas (Akk.)] bestürzt sein; (be angry) sich [über etwas (Akk.)] ärgern
we were very upset to hear of his illness — die Nachricht von seiner Krankheit ist uns sehr nahe gegangen
get upset [about/over something] — sich [über etwas (Akk.)] aufregen
there's no point in getting upset about it — es hat keinen Sinn, sich darüber aufzuregen
3) (disordered)4. noun1) (overturning) Umkippen, das3) (slight quarrel) Missstimmung, die4) (slight illness) Unpäßlichkeit, diedigestive/stomach upset — Verdauungsstörung, die/Magenverstimmung, die
6) (surprising result) Überraschung, die* * *past tense, past participle; see upset* * *up·setI. vt[ʌpˈset]1. (push over)▪ to \upset sth etw umwerfento \upset a boat ein Boot zum Kentern bringento \upset a glass ein Glas umstoßen [o umkippen2. (psychologically unsettle)3. (throw into disorder)▪ to \upset sth etw durcheinanderbringen4. MEDto \upset sb's metabolism jds Stoffwechsel durcheinanderbringento \upset sb's stomach jdm auf den Magen schlagen5.II. adj[ʌpˈset]1. (up-ended) umgestoßen, umgeworfen, umgekippt▪ to be \upset (nervous) aufgeregt sein; (angry) aufgebracht sein; (distressed) bestürzt [o betroffen] sein; (sad) traurig sein▪ to be \upset [that]... traurig sein, dass...he was very \upset [that] you didn't reply to his letters es hat ihn sehr getroffen, dass du auf seine Briefe nicht geantwortet hastto be \upset to hear/read/see that... bestürzt sein zu [o mit Bestürzung] hören/lesen/sehen, dass...III. n[ˈʌpset]it was a great \upset to his self-image sein Selbstverständnis hat darunter sehr gelitten▪ to be an \upset to sb jdm nahegehen, jdn mitnehmento be an \upset to sth's equilibrium das Gleichgewicht einer S. gen [empfindlich] störento have an \upset eine Meinungsverschiedenheit habenone of the major \upsets of this year's Wimbledon was the elimination of the favourite eine der großen Enttäuschungen des diesjährigen Wimbledon-Turniers war das Ausscheiden des Favoriten* * *[ʌp'set] vb: pret, ptp upset1. vt1) (= knock over) umstoßen, umwerfen; boat umkippen, zum Kentern bringenshe upset the milk all over the new carpet — sie stieß die Milch um und alles lief auf den neuen Teppich
2) (= make sad news, death) bestürzen, erschüttern, mitnehmen (inf); (question, insolence etc) aus der Fassung bringen; (divorce, experience, accident etc) mitnehmen (inf); (= distress, excite) patient, parent etc aufregen; (= offend unkind behaviour, words etc) verletzen, wehtun (+dat); (= annoy) ärgernyou shouldn't have said/done that, now you've upset her — das hätten Sie nicht sagen/tun sollen, jetzt regt sie sich auf or (offended) jetzt ist sie beleidigt
there's no point in upsetting yourself —
I don't know what's upset him — ich weiß nicht, was er hat
3) (= disorganize) calculations, balance, plan, timetable etc durcheinanderbringenHenman upset the top seed — Henman hat den auf Nummer eins gesetzten Spieler überraschend geschlagen
4)(= make ill)
the rich food upset his stomach — das schwere Essen ist ihm nicht bekommen2. viumkippen3. adj1) (about divorce, accident, dismissal etc) mitgenommen (inf) (about von); (about death, bad news etc) bestürzt (about über +acc); (= sad) betrübt, geknickt (inf) (about über +acc); (= distressed, worried) aufgeregt (about wegen); baby, child durcheinander pred; (= annoyed) ärgerlich, aufgebracht (about über +acc); (= hurt) gekränkt, verletzt (about über +acc)she was pretty upset about it — das ist ihr ziemlich nahegegangen, das hat sie ziemlich mitgenommen (inf)
she was upset about the news/that he'd left her — es hat sie ziemlich mitgenommen, als sie das hörte/dass er sie verlassen hat (inf)
we were very upset to hear about her illness —
don't look so upset, they'll come back — guck doch nicht so traurig, sie kommen ja zurück
would you be upset if I decided not to go after all? — wärst du traurig or würdest dus tragisch nehmen, wenn ich doch nicht ginge?
I'd be very upset if... — ich wäre sehr traurig or betrübt wenn...
she'd be upset if I used a word like that — sie wäre entsetzt, wenn ich so etwas sagen würde
the house has been broken into so of course I'm upset — bei mir ist eingebrochen worden und natürlich rege ich mich auf
to get upset — sich aufregen (about über +acc )
don't get upset about it, you'll find another — nimm das noch nicht so tragisch, du findest bestimmt einen anderen
to sound/look upset — verstört klingen/aussehen
2) ['ʌpset]stomach verstimmt, verdorben attrto have an upset stomach — sich (dat) den Magen verdorben haben, eine Magenverstimmung haben
4. n['ʌpset]1) (= disturbance) Störung f; (emotional) Aufregung f; (inf = quarrel) Verstimmung f, Ärger m; (= unexpected defeat etc) unliebsame or böse ÜberraschungI don't want to cause any upsets in your work — ich möchte bei Ihrer Arbeit kein Durcheinander verursachen
children don't like upsets in their routine —
he's had a bit of an upset — er ist etwas mitgenommen (inf) or geknickt (inf)
2)stomach upset — Magenverstimmung f, verdorbener Magen
* * *upset1 [ʌpˈset]A adj1. umgestürzt, umgekippt2. durcheinandergeworfen oder -geraten3. fig aufgeregt, außer Fassung, aus dem Gleichgewicht gebracht, durcheinander4. verstimmt (auch Magen):B v/t irr1. umwerfen, umstürzen, umkippen, umstoßen: → academic.ru/3233/applecart">applecart2. ein Boot zum Kentern bringen3. fig einen Plan umstoßen, über den Haufen werfen, vereiteln:upset all predictions alle Vorhersagen auf den Kopf stellen4. eine Regierung stürzen5. fig jemanden umwerfen, aus der Fassung bringen, durcheinanderbringen6. in Unordnung bringen, durcheinanderbringen:7. TECH stauchenC v/i1. umkippen, umstürzen2. umschlagen, kentern (Boot)D s [ˈʌpset]1. Umkippen n2. Umschlagen n, Kentern n3. Sturz m, Fall m4. Umsturz m5. fig Vereit(e)lung f6. Unordnung f, Durcheinander n7. Ärger m, (auch Magen) Verstimmung f8. Streit m, Meinungsverschiedenheit f9. SPORT umg Überraschung f (unerwartete Niederlage etc)10. TECH Stauchung fupset2 adj an-, festgesetzt:* * *1. transitive verb,-tt-, upset1) (overturn) umkippen; (accidentally) umstoßen [Tasse, Vase, Milch usw.]upset something over something — etwas über etwas (Akk.) kippen
2) (distress) erschüttern; mitnehmen (ugs.); (disturb the composure or temper of) aus der Fassung bringen; (shock, make angry, excite) aufregen3) (make ill)4) (disorganize) stören; durcheinander bringen [Plan, Berechnung, Arrangement]2. intransitive verb,-tt-, upset umkippen3. adjective1) (overturned) umgekippt2) (distressed) bestürzt; (agitated) aufgeregt; (unhappy) unglücklich; (put out) aufgebracht; verärgert; (offended) gekränktbe upset [about something] — (be distressed) [über etwas (Akk.)] bestürzt sein; (be angry) sich [über etwas (Akk.)] ärgern
we were very upset to hear of his illness — die Nachricht von seiner Krankheit ist uns sehr nahe gegangen
get upset [about/over something] — sich [über etwas (Akk.)] aufregen
there's no point in getting upset about it — es hat keinen Sinn, sich darüber aufzuregen
3) (disordered)4. noun1) (overturning) Umkippen, das3) (slight quarrel) Missstimmung, die4) (slight illness) Unpäßlichkeit, diedigestive/stomach upset — Verdauungsstörung, die/Magenverstimmung, die
6) (surprising result) Überraschung, die* * *v.umwerfen v. adj.bestürzt adj.umstürzen adj. -
6 prediction
nounVoraus-, Vorhersage, die* * *[-ʃən]* * *pre·dic·tion[prɪˈdɪkʃən]nthe methods of weather \prediction die Methoden der Wettervorhersage* * *[prI'dIkSən]nProphezeiung f, Voraussage f* * *against all predictions entgegen allen Voraussagen* * *nounVoraus-, Vorhersage, die* * *n.Prophezeiung f.Voraussage f.Vorhersage f. -
7 as
as [æz, əz]━━━━━━━━━━━━━━━━━1. conjunction2. preposition3. adverb━━━━━━━━━━━━━━━━━► For set combinations in which as is not the first word, eg such... as, the same... as, disguised as, look up the other word.━━━━━━━━━━━━━━━━━1. conjunctiona. ( = while) alors que• as she was falling asleep she heard a noise elle entendit un bruit alors qu'elle commençait à s'endormirb. (with comparative) things will get more difficult as the year goes on ça va devenir de plus en plus difficile au fil de l'annéec. ( = just when) (juste) au moment oùd. ( = because) comme━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━• as he hasn't phoned, we don't know where he is comme il n'a pas téléphoné, nous ne savons pas où il est• this is important as it reduces the effectiveness of the drug c'est important parce que cela diminue l'efficacité du médicamente. ( = though) long as it was, I didn't find the journey boring bien que le trajet ait été long, je ne me suis pas ennuyé• France, as you know, is... la France, comme vous le savez, est...• she is very gifted, as is her brother elle est très douée, comme son frère• don't tidy up, leave it as it is ne range rien, laisse ça comme ça• the village, situated as it is near a motorway,... le village étant situé non loin d'une autoroute,...2. prepositiona. ( = in the capacity of) commeb. ( = being) en tant que• as a mother of five children, she is well aware... en tant que mère de cinq enfants, elle sait très bien...c. ( = when) as a child, she was rather shy quand elle était enfant, elle était plutôt timide• as a young woman, she was interested in politics quand elle était jeune, elle s'intéressait à la politique3. adverba. ( = in the way) comme► as + as (in comparisons of equality) aussi... que• is it as far as that? c'est vraiment aussi loin que ça ?• you ate as much as me tu as mangé autant que moi► twice/half as...• as for that quant à cela► as from (referring to past) depuis ; (referring to present, future) à partir de• he was staggering as if or as though he'd been drinking il titubait comme s'il avait bu• it's not as if or as though he was nice-looking ce n'est pas comme s'il était beau garçon• as if to confirm his prediction there was a loud explosion comme pour confirmer ses prédictions on entendit une forte explosion• don't tell her, will you? -- as if! (inf) ne lui dis rien ! -- pour qui tu me prends !• did he finally own up? -- as if! (inf) est-ce qu'il a fini par avouer ? -- tu parles ! (inf)► as it is ( = in fact) dans l'état actuel des choses ; ( = already) comme ça• as it is, it doesn't make much difference dans l'état actuel des choses, ça ne fait pas grande différence• the balance of your account as of 16 June ( = on 16 June) le solde de votre compte au 16 juin• the work as such is boring but... le travail en soi est ennuyeux mais...• they are the best players in the world and, as such, are highly paid ce sont les meilleurs joueurs du monde et, à ce titre, ils sont très bien payés• he was still a novice and they treated him as such ce n'était qu'un débutant et ils le traitaient comme tel• he had no qualifications as such il n'avait pas de qualification à proprement parler► as to quant à* * *[æz, əz] 1.1) ( in the manner that) commeknowing you as I do, it didn't surprise me — je te connais tellement bien que ça ne m'a pas étonné
he lives abroad, as does his sister — il vit à l'étranger, tout comme sa sœur
as with so many people in the 1960s, she... — comme beaucoup de personnes dans les années 60, elle...
2) (while, when) comme, alors que; ( over more gradual period of time) au fur et à mesure queas a child, he... — (quand il était) enfant, il...
3) (because, since) comme, puisque4) ( although)comfortable as the house is, it's still very expensive — aussi confortable que soit la maison, elle reste quand même très chère
try as he might, he could not forget it — il avait beau essayer, il ne pouvait pas oublier
5)the same... as — le/la même... que
6) ( expressing purpose)2.so as to do — pour faire, afin de faire
1) ( in order to appear to be)2) (showing function, status) commespeaking as his closest friend, I... — en tant que son meilleur ami, je voudrais dire que je...
with Lauren Bacall as Vivien — Cinema, Theatre avec Lauren Bacall dans le rôle de Vivien
3)3.he was quoted as saying that... — il aurait dit que...
1) (expressing degree, extent)the population may increase by as much as 20% — l'augmentation de la population risque d'atteindre 20%
as many as 10,000 people attended the demonstration — il n'y avait pas moins de 10000 personnes à la manifestation
he has a house in Nice as well as an apartment in Paris — il a une maison à Nice ainsi qu'un appartement à Paris
2) ( expressing similarity) comme4.as against prepositional phrase contre, comparé à5.as and when conjunctional phrase6.as and when the need arises — quand il le faudra, quand le besoin s'en fera sentir
as for prepositional phrase quant à, pour ce qui est de7. 8.as if conjunctional phrase comme (si)he looked at me as if to say ‘I told you so’ — il m'a regardé avec l'air de dire ‘je te l'avais bien dit’
9.as if by accident/magic — comme par hasard/magie
as such prepositional phrase en tant que tel10.as to prepositional phrase sur, quant à -
8 soon
soon [su:n]1 adverb(a) (in a short time) bientôt, sous peu;∎ (I'll) see you/speak to you soon! à bientôt!;∎ write soon! écris-moi vite!;∎ I'll be back soon je serai vite de retour;∎ a burglar can soon open a lock like that un cambrioleur a vite fait d'ouvrir une serrure comme celle-ci;∎ she phoned soon after you'd left elle a téléphoné peu après ton départ;∎ soon after peu après;∎ soon after four (un) peu après quatre heures;∎ it will soon be three years since… voici bientôt trois ans que… + indicative, cela fera bientôt trois ans que… + indicative;∎ they were soon making friends ils se sont bien vite fait des amis∎ oh dear, I spoke too soon! mince, j'ai parlé trop tôt!;∎ it's too soon to make any predictions il est trop tôt pour se prononcer;∎ how soon can you finish it? pour quand pouvez-vous le terminer?;∎ the police have arrived, and not a moment too soon les policiers sont arrivés, et ce n'est pas trop tôtdès que + indicative, aussitôt que + indicative;∎ I'll see him as soon as he comes je le verrai aussitôt ou dès qu'il arrivera;∎ as soon as possible dès ou aussitôt que possible;∎ phone me as soon as you hear anything téléphonez-moi dès que vous aurez des nouvelles;∎ he came as soon as he could il est venu dès ou aussitôt qu'il a pu∎ I'd (just) as soon go by boat as by plane j'aimerais autant ou mieux y aller en bateau qu'en avion;∎ do you want to come with us? - I'd just as soon not, if you don't mind veux-tu venir avec nous? - j'aimerais autant ou mieux pas, si ça ne t'ennuie pas;∎ I'd just as soon he came tomorrow j'aimerais autant ou mieux qu'il vienne demain;∎ I'd as soon die as do that! plutôt mourir que de faire ça! -
9 spread
1 noun(a) (diffusion, growth → of epidemic, fire) propagation f, progression f; (→ of technology, idea) diffusion f, dissémination f; (→ of religion) propagation f;∎ they are trying to prevent the spread of unrest to other cities ils essaient d'empêcher les troubles d'atteindre ou de gagner d'autres villes(b) (range → of ages, interests) gamme f, éventail m;∎ spread in interest rates différentiel m de taux d'intérêt;∎ the commission represented a broad spread of opinion la commission représentait un large éventail d'opinions;∎ maximum May temperatures show a ten-point spread les températures maximales du mois de mai montrent une variation de dix degrés(c) (of wings) envergure f∎ growth occurred over a spread of several years la croissance s'étala sur une période de plusieurs années∎ salmon spread beurre m de saumon;∎ chocolate spread chocolat m à tartiner(h) Press & Typography (two pages) double page f; (two-page advertisement) double page f publicitaire;∎ the event was given a good spread l'événement a été largement couvert par la presse∎ the hotel lays on a decent spread l'hôtel propose des repas tout à fait convenables□ ;∎ cold spread repas m froid□∎ nice spread you've got here! belle propriété que vous avez là!(k) Stock Exchange spread m(a) (arms, fingers, legs) écarté∎ I spread mustard on the ham, I spread the ham with mustard j'ai étalé de la moutarde sur le jambon;∎ he spread butter on a slice of toast or a slice of toast with butter il a tartiné de beurre une tranche de pain grillé;∎ to spread ointment on a burn appliquer ou mettre de la pommade sur une brûlure;∎ to spread the paint evenly étendre ou étaler la peinture en couches égales(b) (open out, unfold → wings, sails) étendre, déployer; (→ arms, legs, fingers) écarter; (→ map, napkin, blanket) étaler; (→ rug) étendre; (→ fan) ouvrir;∎ he spread his handkerchief over his face il étala son mouchoir sur son visage;∎ she lay on her back, her arms spread elle était allongée sur le dos, les bras écartés;∎ a bird with its wings spread un oiseau aux ailes déployées;∎ figurative it's time you spread your wings il est temps que vous voliez de vos propres ailes(c) (disseminate → disease, fire) propager, répandre; (→ news, idea, faith) propager; (→ rumour) répandre, faire courir; (→ lies) colporter; (→ terror, panic) répandre;∎ the disease is spread by rats la maladie est propagée par les rats;∎ the wind will spread the fire to the fields le vent va propager l'incendie jusque dans les champs;∎ trade helped to spread the new technology to Asia le commerce a facilité la diffusion ou la dissémination de cette nouvelle technologie en Asie;∎ the attack is at noon, spread the word! l'attaque est pour midi, faites passer ou passez le mot!;∎ to spread the gospel prêcher ou répandre l'Évangile; figurative répandre la bonne parole∎ he spread his papers on the desk il étala ses papiers sur le bureau;∎ her hair was spread over the pillow ses cheveux s'étalaient sur l'oreiller;∎ we spread the contents of the bag over the floor nous étalâmes le contenu du sac sur le sol;∎ the floor was spread with straw le sol était recouvert de paille;∎ take your shoes off, you're spreading dirt everywhere! enlève tes chaussures, tu salis tout!;∎ the explosion had spread debris over a large area l'explosion avait dispersé des débris sur une grande superficie;∎ their troops are spread too thinly to be effective leurs troupes sont trop dispersées pour être efficaces;∎ figurative to spread oneself too thinly se disperser(e) (space out over a period of time) échelonner, étaler;∎ the tourist season is now spread over six months la saison touristique s'étale maintenant sur six mois;∎ the payments are spread over several months les paiements sont échelonnés ou étalés ou répartis sur plusieurs mois;∎ to spread the losses over five years répartir les pertes sur cinq ans(f) (divide up → tax burden, work load) répartir;∎ a policy designed to spread wealth more evenly une mesure qui vise à distribuer plus équitablement les richesses(a) (stain) s'élargir; (disease, fame, suburb) s'étendre; (fire, desert, flood) gagner du terrain, s'étendre; (rumour, ideas, faith, terror, crime, suspicion) se répandre;∎ panic spread through the crowd la panique a envahi ou gagné la foule;∎ the epidemic is spreading to other regions l'épidémie gagne de nouvelles régions;∎ the cancer had spread through her whole body le cancer s'était généralisé;∎ the suburbs are spreading further everyday les banlieues s'étendent chaque jour un peu plus;∎ the flood waters have spread across or over the whole plain l'inondation a gagné toute la plaine;∎ the species spread throughout Africa l'espèce s'est répandue à travers toute l'Afrique(b) (extend → over a period of time, a range of subjects) s'étendre;∎ their correspondence spreads over twenty years leur correspondance s'étend sur vingt ans(c) (butter, glue) s'étaler;∎ the icing should spread easily le glaçage devrait s'étaler facilement(d) Stock Exchange spéculer sur les différentiels de cours►► spread betting = système de paris portant sur le résultat d'un événement sportif ou autre, où les gains sont proportionnels à la justesse des prédictions, selon une fourchette de résultats préétablie;(b) (in skating) grand aigle m;∎ to do a spread eagle faire un grand aigle(rumour) répandre;∎ have you been spreading it about that I…? est-ce que tu as été raconter partout que je…?(a) (disperse) disperser, éparpiller;∎ the buildings are spread out among the trees les bâtiments sont dispersés parmi les arbres;∎ the runners are now spread out (along the course) les coureurs sont maintenant éparpillés le long du parcours;∎ the population is very spread out la population est très dispersée;∎ in a city as spread out as Los Angeles dans une ville aussi étendue que Los Angeles(b) (space out in time → deliveries, payments) échelonner;∎ to spread out over several financial years étaler sur plusieurs exercices;∎ to spread out the losses over five years répartir les pertes sur cinq ans(c) (open out, unfold → wings) étendre, déployer; (→ arms, legs, fingers) écarter; (→ map, napkin, blanket) étaler; (→ rug) étendre; (→ fan) ouvrir; (lay out → photos, cards, possessions) étaler;∎ she lay on her back, her arms spread out elle était allongée sur le dos, les bras écartés;∎ a bird with its wings spread out un oiseau aux ailes déployées;∎ to spread oneself out (on sofa etc) s'étendre, s'allonger;∎ the plain lay spread out in front of us la plaine s'étalait ou se déployait devant nous;∎ he spread his papers out on the desk il étala ses papiers sur le bureau;∎ their troops are spread out too thinly to be effective leurs troupes sont trop dispersées pour être efficaces(a) (town, forest) s'étendre∎ the search party had spread out through the woods l'équipe de secours s'était déployée à travers les bois(c) (open out → sail) se déployer, se gonfler(d) (make oneself at ease) s'installer confortablement;∎ I need an office where I can spread out j'ai besoin d'un bureau où je puisse étaler mes affaires -
10 Programming Language
1) Theories of Human Mental Processes Can Be Expressed in Programming LanguagesIt [the information-processing revolution] has introduced computer programming languages as formal ["mathematical"] languages for expressing theories of human mental processes; and it has introduced the computers themselves as a device to simulate these processes and thereby make behavioral predictions for testing of the theories. (Simon, 1979, p. ix)LISP is now the second oldest programming language in present widespread use (after FORTRAN).... Its core occupies some kind of local optimum in the space of programming languages given that static friction discourages purely notational changes. Recursive use of conditional expressions, representation of symbolic information externally by lists and internally by list structure, and representation of program in the same way will probably have a very long life. (McCarthy, quoted in Barr & Feigenbaum, 1982, p. 5)Although it sounds implausible, it might turn out that above a certain level of complexity, a machine ceased to be predictable, even in principle, and started doing things on its own account, or, to use a very revealing phrase, it might begin to have a mind of its own. (Lucas, quoted in Hand, 1985, p. 4)Historical dictionary of quotations in cognitive science > Programming Language
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