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1 astrology is true, but the astrologers cannot find it
Универсальный англо-русский словарь > astrology is true, but the astrologers cannot find it
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2 вашими бы устами да мёд пить
Set phrase: astrology is true, but the astrologers cannot find it, friday night's dream on the saturday told, is sure to come true be it never so old, it's too good to be true (used (sometimes: ironically) to express one's gratitude for someone's prediction and/or one's doubt that everything would be fine), may your words come true!Универсальный русско-английский словарь > вашими бы устами да мёд пить
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3 вашими бы устами да мед пить
Set phrase: astrology is true, but the astrologers cannot find it, friday night's dream on the saturday told, is sure to come true be it never so old, it's too good to be true (used (sometimes: ironically) to express one's gratitude for someone's prediction and/or one's doubt that everything would be fine), may your words come true!Универсальный русско-английский словарь > вашими бы устами да мед пить
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4 вашими бы устами мёд пить
Set phrase: astrology is true, but the astrologers cannot find it, friday night's dream on the saturday told, is sure to come true be it never so old, it's too good to be true (used (sometimes: ironically) to express one's gratitude for someone's prediction and/or one's doubt that everything would be fine), may your words come true!Универсальный русско-английский словарь > вашими бы устами мёд пить
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5 твоими бы устами да мёд пить
Set phrase: astrology is true, but the astrologers cannot find it, friday night's dream on the saturday told, is sure to come true be it never so old, it's too good to be true (used (sometimes: ironically) to express one's gratitude for someone's prediction and/or one's doubt that everything would be fine), may your words come true!Универсальный русско-английский словарь > твоими бы устами да мёд пить
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6 твоими бы устами да мед пить
Set phrase: astrology is true, but the astrologers cannot find it, friday night's dream on the saturday told, is sure to come true be it never so old, it's too good to be true (used (sometimes: ironically) to express one's gratitude for someone's prediction and/or one's doubt that everything would be fine), may your words come true!Универсальный русско-английский словарь > твоими бы устами да мед пить
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7 твоими бы устами мёд пить
Set phrase: astrology is true, but the astrologers cannot find it, friday night's dream on the saturday told, is sure to come true be it never so old, it's too good to be true (used (sometimes: ironically) to express one's gratitude for someone's prediction and/or one's doubt that everything would be fine), may your words come true!Универсальный русско-английский словарь > твоими бы устами мёд пить
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8 истинный Лунный Узел
Astrology: true nodeУниверсальный русско-английский словарь > истинный Лунный Узел
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9 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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10 ངེས་པ་
[nges pa]certain factor, feature, definitive ascertainment, certainty, authenticity, 1 of 27 coincidences in astrology, -> sbyor ba nyer bdun, certain, true, sure, firm, reality -
11 get
❢ This much-used verb has no multi-purpose equivalent in French and therefore is very often translated by choosing a synonym: to get lunch = to prepare lunch = préparer le déjeuner. get is used in many idiomatic expressions ( to get something off one's chest etc) and translations will be found in the appropriate entry (chest etc). This is also true of offensive comments ( get stuffed etc) where the appropriate entry would be stuff. Remember that when get is used to express the idea that a job is done not by you but by somebody else ( to get a room painted etc) faire is used in French followed by an infinitive ( faire repeindre une pièce etc). When get has the meaning of become and is followed by an adjective (to get rich/drunk etc) devenir is sometimes useful but check the appropriate entry (rich, drunk etc) as a single verb often suffices ( s'enrichir, s'enivrer etc). For examples and further uses of get see the entry below.1 ( receive) recevoir [letter, school report, grant] ; recevoir, percevoir [salary, pension] ; TV, Radio capter [channel, programme] ; did you get much for it? est-ce que tu en as tiré beaucoup d'argent? ; what did you get for your car? combien as-tu revendu ta voiture? ; we get a lot of rain il pleut beaucoup ici ; our garden gets a lot of sun notre jardin est bien ensoleillé ; we get a lot of tourists nous avons beaucoup de touristes ; you get lots of attachments with this cleaner il y a beaucoup d'accessoires fournis avec cet aspirateur ; you get what you pay for il faut y mettre le prix ; he's getting help with his science il se fait aider en sciences ;2 ( inherit) to get sth from sb lit hériter qch de qn [article, money] ; fig tenir qch de qn [trait, feature] ;3 ( obtain) ( by applying) obtenir [permission, divorce, custody, licence] ; trouver [job] ; ( by contacting) trouver [plumber, accountant] ; appeler [taxi] ; ( by buying) acheter [food item, clothing] (from chez) ; avoir [theatre seat, ticket] ; to get something for nothing/at a discount avoir qch gratuitement/avec une réduction ; to get sb sth, to get sth for sb ( by buying) acheter qch à qn ; I'll get sth to eat at the airport je mangerai qch à l'aéroport ;4 ( subscribe to) acheter [newspaper] ;5 ( acquire) se faire [reputation] ; he got his money in oil il s'est fait de l'argent dans le pétrole ;6 ( achieve) obtenir [grade, mark, answer] ; he got it right ( of calculation) il a obtenu le bon résultat ; ( of answer) il a répondu juste ; how many do I need to get? ( when scoring) il me faut combien? ; he's got four more points to get il faut encore qu'il obtienne quatre points ;7 ( fetch) chercher [object, person, help] ; go and get a chair/Mr Matthews va chercher une chaise/M. Matthews ; to get sb sth, to get sth for sb aller chercher qch pour qn ; get her a chair va lui chercher une chaise ; can I get you your coat? est-ce que je peux vous apporter votre manteau? ;8 (manoeuvre, move) to get sb/sth upstairs/downstairs faire monter/descendre qn/qch ; a car to me is just something to get me from A to B pour moi une voiture ne sert qu'à aller de A à B ; I'll get them there somehow je les ferai parvenir d'une façon ou d'une autre ; can you get between the truck and the wall? est-ce que tu peux te glisser entre le camion et le mur? ;9 ( help progress) is this discussion getting us anywhere? est-ce que cette discussion est bien utile? ; I listened to him and where has it got me? je l'ai écouté mais à quoi ça m'a avancé? ; this is getting us nowhere ça ne nous avance à rien ; where will that get you? à quoi ça t'avancera? ;10 ( contact) did you manage to get Harry on the phone? tu as réussi à avoir Harry au téléphone? ;12 ( prepare) préparer [breakfast, lunch etc] ;13 ( take hold of) attraper [person] (by à) ; I've got you, don't worry je te tiens, ne t'inquiète pas ; to get sth from ou off prendre qch sur [shelf, table] ; to get sth from ou out of prendre qch dans [drawer, cupboard] ;14 ○ ( oblige to give) to get sth from ou out of sb faire sortir qch à qn [money] ; fig obtenir qch de qn [truth] ;15 ○ ( catch) gen arrêter [escapee] ; got you! gen je t'ai eu! ; ( caught in act) vu! ; a shark got him un requin l'a eu ; when I get you, you won't find it so funny quand tu auras affaire ○ à moi, tu trouveras ça moins drôle ;17 ( use as transport) prendre [bus, train] ;18 ( have) to have got avoir [object, money, friend etc] ; I've got a headache/bad back j'ai mal à la tête/au dos ;19 ( start to have) to get (hold of) the idea ou impression that se mettre dans la tête que ;20 ( suffer) to get a surprise être surpris ; to get a shock avoir un choc ; to get a bang on the head recevoir un coup sur la tête ;21 ( be given as punishment) prendre [five years etc] ; avoir [fine] ; to get (a) detention être collé ○ ;22 ( hit) to get sb/sth with toucher qn/qch avec [stone, arrow, ball] ; got it! ( of target) touché! ; the arrow got him in the heel la flèche l'a touché au talon ;23 (understand, hear) comprendre ; I didn't get what you said/his last name je n'ai pas compris ce que tu as dit/son nom de famille ; did you get it? tu as compris? ; now let me get this right… alors si je comprends bien… ; ‘where did you hear that?’-‘I got it from Paul’ ‘où est-ce que tu as entendu ça?’-‘c'est Paul qui me l'a dit’ ; get this! he was arrested this morning tiens-toi bien! il a été arrêté ce matin ;24 ○ (annoy, affect) what gets me is… ce qui m'agace c'est que… ; what really got me was… ce que je n'aimais pas c'était… ;25 (learn, learn of) to get to do ○ finir par faire ; to get to like sb finir par apprécier qn ; how did you get to know ou hear of our organization? comment avez-vous entendu parler de notre organisation? ; we got to know them last year on a fait leur connaissance l'année dernière ;26 ( have opportunity) to get to do avoir l'occasion de faire ; do you get to use the computer? est-ce que tu as l'occasion d'utiliser l'ordinateur? ; it's not fair, I never get to drive the tractor ce n'est pas juste, on ne me laisse jamais conduire le tracteur ; when do we get to eat the cake? quand est-ce qu'on va pouvoir manger le gâteau? ;27 ( start) to get (to be) commencer à devenir ; he's getting to be proficient ou an expert il commence à devenir expert ; it got to be quite unpleasant ça a commencé à devenir plutôt désagréable ; he's getting to be a big boy now c'est un grand garçon maintenant ; to get to doing ○ commencer à faire ; we got to talking/dreaming about the holidays on a commencé à parler/rêver des vacances ; then I got to thinking that puis je me suis dit que ; we'll have to get going il va falloir y aller ;28 ( must) to have got to do devoir faire [homework, chore] ; it's got to be done il faut le faire ; you've got to realize that il faut que tu te rendes compte que ; if I've got to go, I will s'il faut que j'y aille, j'irai ; there's got to be a reason il doit y avoir une raison ;29 ( persuade) to get sb to do demander à qn de faire ; I got her to talk about her problems j'ai réussi à la faire parler de ses problèmes ; did you get anything out of her? est-ce que tu as réussi à la faire parler? ;30 ( have somebody do) to get sth done faire faire qch ; to get the car repaired/valeted faire réparer/nettoyer la voiture ; to get one's hair cut se faire couper les cheveux ; how do you ever get anything done? comment est-ce que tu arrives à travailler? ;31 ( cause) to get the car going faire démarrer la voiture ; to get the dishes washed faire la vaisselle ; this won't get the dishes washed! la vaisselle ne se fera pas toute seule! ; to get sb pregnant ○ mettre qn enceinte ○ ; as hot/cold as you can get it aussi chaud/froid que possible ; to get one's socks wet mouiller ses chaussettes ; to get one's finger trapped se coincer le doigt.1 ( become) devenir [suspicious, rich, old] ; how lucky/stupid can you get! il y en a qui ont de la chance/qui sont vraiment stupides! ; it's getting late il se fait tard ; how did he get like that? comment est-ce qu'il en est arrivé là? ;2 ( forming passive) to get (oneself) killed/trapped se faire tuer/coincer ; to get hurt être blessé ;3 ( become involved in) to get into ○ ( as hobby) se mettre à [astrology etc] ; ( as job) commencer dans [teaching, publishing] ; fig to get into a fight se battre ;4 ( arrive) to get there arriver ; to get to the airport/Switzerland arriver à l'aéroport/en Suisse ; to get (up) to the top ( of hill etc) arriver au sommet ; how did your coat get here? comment est-ce que ton manteau est arrivé là? ; how did you get here? ( by what miracle) comment est-ce que tu es arrivé là? ; ( by what means) comment est-ce que tu es venu? ; where did you get to? où est-ce que tu étais passé? ; we've got to page 5 nous en sommes à la page 5 ;5 ( progress) it got to 7 o'clock il était plus de 7 heures ; I'd got as far as underlining the title j'en étais à souligner le titre ; I'm getting nowhere with this essay je n'avance pas dans ma dissertation ; are you getting anywhere with your investigation? est-ce que votre enquête avance? ; now we're getting somewhere ( making progress) on avance vraiment ; ( receiving fresh lead) voilà quelque chose d'intéressant ; it's a slow process but we're getting there c'est un processus lent, mais on avance ; it's not perfect yet but we're getting there ce n'est pas encore parfait mais on avance ;get ○ ! fiche-moi le camp ○ ! ; get along with you ○ ! ne sois pas ridicule! ; get away with you ○ ! arrête de raconter n'importe quoi ○ ! ; get her ○ ! regarde-moi ça! ; get him ○ in that hat! regarde-le avec ce chapeau! ; he got his ○ ( was killed) il a cassé sa pipe ○ ; I'll get you ○ for that je vais te le faire payer ○ ; I'm getting there je progresse ; it gets me right here! tu vas me faire pleurer! ; I've/he's got it bad ○ je suis/il est vraiment mordu ; I've got it je sais ; to get above oneself commencer à avoir la grosse tête ○ ; to get it together ○ se ressaisir ; to get it up ● bander ●, avoir une érection ; to get one's in ○ US prendre sa revanche ; to tell sb where to get off envoyer qn promener ; to get with it ○ se mettre dans le coup ○ ; what's got into her/them? qu'est-ce qui lui/leur a pris? ; where does he get off ○ ? pour qui se prend-il? ; you've got me there! alors là tu me poses une colle ○ !1 ( manage to move) se déplacer (by doing en faisant) ; she doesn't get about very well now elle a du mal à se déplacer maintenant ;2 ( travel) voyager, se déplacer ; do you get about much in your job? vous voyagez beaucoup pour votre travail? ; he gets about a bit ( travels) il voyage pas mal ; ( knows people) il connaît du monde ;3 ( be spread) [news] se répandre ; [rumour] courir, se répandre ; it got about that la nouvelle s'est répandue que, le bruit a couru que.■ get across:1 ( pass to other side) traverser ;2 ( be communicated) [message] passer ;▶ get [sth] across1 ( transport) how will we get it across? (over stream, gap etc) comment est-ce qu'on le/la fera passer de l'autre côté? ; I'll get a copy across to you (in separate office, building etc) je vous en ferai parvenir un exemplaire ;2 ( communicate) faire passer [message, meaning] (to à) ;2 ( go too fast) let's not get ahead of ourselves n'anticipons pas.1 ( progress) how's the project getting along? comment est-ce que le projet se présente? ; how are you getting along? ( in job) comment ça se passe? ; ( to sick or old person) comment ça va? ; ( in school subject) comment est-ce que ça se passe? ;2 ( cope) s'en sortir ; we can't get along without a computer/him on ne s'en sortira pas sans ordinateur/lui ;3 ( be suited as friends) bien s'entendre (with avec) ;4 (go) I must be getting along il faut que j'y aille.■ get around:1 (move, spread) = get about ;2 to get around to doing: she'll get around to visiting us eventually elle va bien finir par venir nous voir ; I must get around to reading his article il faut vraiment que je lise son article ; I haven't got around to it yet je n'ai pas encore eu le temps de m'en occuper ;▶ get around [sth] ( circumvent) contourner [problem, law] ; there's no getting around it il n'y a rien à faire.■ get at ○:▶ get at [sb /sth]1 ( reach) atteindre [object] ; arriver jusqu'à [person] ; fig découvrir [truth] ; let me get at her ( in anger) laissez-moi lui régler son compte ○ ;2 ( spoil) the ants have got at the sugar les fourmis ont attaqué le sucre ;3 ( criticize) être après [person] ;4 ( intimidate) intimider [witness] ;5 ( insinuate) what are you getting at? où est-ce que tu veux en venir?■ get away:▶ get away1 ( leave) partir ;3 fig ( escape unpunished) to get away with a crime échapper à la justice ; you'll never get away with it! tu ne vas pas t'en tirer comme ça! ; he mustn't be allowed to get away with it il ne faut pas qu'il s'en tire à si bon compte ; she can get away with bright colours elle peut se permettre de porter des couleurs vives ;▶ get [sb/sth] away ( for break) emmener [qn] se changer les idées ; to get sb away from a bad influence tenir qn à l'écart d'une mauvaise influence ; to get sth away from sb retirer qch à qn [weapon, dangerous object].▶ get away from [sth]1 ( leave) quitter [town] ; I must get away from here ou this place! il faut que je parte d'ici! ; ‘get away from it all’ ( in advert) ‘évadez-vous de votre quotidien’ ;■ get back:▶ get back2 ( move backwards) reculer ; get back! reculez! ;▶ get back to [sth]1 ( return to) rentrer à [house, city] ; revenir à [office, centre, point] ; we got back to Belgium nous sommes rentrés en Belgique ; when we get back to London à notre retour à Londres ;2 ( return to former condition) revenir à [teaching, publishing] ; to get back to sleep se rendormir ; to get back to normal redevenir normal ;3 ( return to earlier stage) revenir à [main topic, former point] ; to get back to your problem,… pour en revenir à votre problème,… ;▶ get back to [sb]1 ( return to) revenir à [group, person] ;2 ( on telephone) I'll get right back to you je vous rappelle tout de suite ;▶ get [sb/sth] back1 ( return) ( personally) ramener [object, person] ; ( by post etc) renvoyer ; Sport ( in tennis etc) renvoyer [ball] ; when they got him back to his cell quand ils l'ont ramené dans sa cellule ;2 ( regain) récupérer [lost object, loaned item] ; fig reprendre [strength] ; she got her money back elle a été remboursée ; she got her old job back on lui a redonné son travail ; he got his girlfriend back il s'est remis avec sa petite amie ○.■ get behind:▶ get behind ( delayed) prendre du retard ;▶ get behind [sth] se mettre derrière [hedge, sofa etc].■ get by1 ( pass) passer ;2 ( survive) se débrouiller (on, with avec) ; we'll never get by without him/them nous ne nous en sortirons jamais sans lui/eux.■ get down:▶ get down1 ( descend) descendre (from, out of de) ;2 ( leave table) quitter la table ;3 ( lower oneself) ( to floor) se coucher ; ( to crouching position) se baisser ; to get down on one's knees s'agenouiller ; to get down to ( descend to reach) arriver à [lower level etc] ; atteindre [trapped person etc] ; ( apply oneself to) se mettre à [work] ; to get down to the pupils' level fig se mettre à la portée des élèves ; let's get down to business parlons affaires ; when you get right down to it quand on regarde d'un peu plus près ; to get down to doing se mettre à faire ;▶ get down [sth] descendre [slope] ; if we get down the mountain alive si nous arrivons vivants en bas de la montagne ; when we got down the hill quand nous nous sommes retrouvés en bas de la colline ;▶ get [sth] down, get down [sth]1 ( from height) descendre [book, jar etc] ;2 ( swallow) avaler [medicine, pill] ;3 ( record) noter [speech, dictation] ;▶ get [sb] down1 ( from height) faire descendre [person] ;2 ○ ( depress) déprimer [person].■ get in:▶ get in2 fig ( participate) to get in on réussir à s'introduire dans [project, scheme] ; to get in on the deal ○ faire partie du coup ;3 ( return home) rentrer ;4 ( arrive at destination) [train, coach] arriver ;5 ( penetrate) [water, sunlight] pénétrer ;8 ( associate) to get in with se mettre bien avec [person] ; he's got in with a bad crowd il traîne avec des gens peu recommandables ;▶ get [sth] in, get in [sth]1 ( buy in) acheter [supplies] ;2 ( fit into space) I can't get the drawer in je n'arrive pas à faire rentrer le tiroir ;5 (deliver, hand in) rendre [essay, competition entry] ;6 ( include) (in article, book) placer [section, remark, anecdote] ; he got in a few punches il a distribué quelques coups ;7 ( fit into schedule) faire [tennis, golf] ; I'll try to get in a bit of tennis ○ j'essayerai de faire un peu de tennis ;▶ get [sb] in faire entrer [person].■ get into:▶ get into [sth]2 ( be admitted) ( as member) devenir membre de [club] ; ( as student) être admis à [school, university] ; I didn't know what I was getting into fig je ne savais pas dans quoi je m'embarquais ;▶ get [sb/sth] into faire entrer [qn/qch] dans [good school, building, room, space].■ get off:▶ get off1 ( from bus etc) descendre (at à) ;2 ( start on journey) partir ;3 ( leave work) finir ;4 ○ ( escape punishment) s'en tirer (with avec) ;5 to get off to partir pour [destination] ; did they get off to school OK? est-ce qu'ils sont partis sans problèmes pour l'école? ; ( make headway) to get off to a good/poor start prendre un bon/mauvais départ ; to get off to sleep s'endormir ; to get off on doing ○ péj ( get buzz from) prendre plaisir à faire ; to get off with, GB rencontrer, ramasser ○ pej [person] ;▶ get off [sth]1 ( climb down from) descendre de [wall, ledge] ;2 ( alight from) descendre de [bus etc] ;3 ( remove oneself from) get off my nice clean floor/the grass ne marche pas sur mon sol tout propre/la pelouse ;▶ get [sb/sth] off2 ( dispatch) envoyer [parcel, letter, person] ; I've got the children off to school j'ai envoyé les enfants à l'école ;3 ( remove) enlever [stain] ;4 ○ ( send to sleep) endormir [baby].■ get on:▶ get on1 ( climb aboard) monter (at à) ;2 ( work) get on a bit faster/more sensibly travaille un peu plus vite/plus sérieusement ;3 ( continue with work) let's get on! continuons! ;4 GB ( like each other) bien s'entendre ;5 ( fare) how did you get on? comment est-ce que ça s'est passé? ;6 ( cope) how are you getting on? comment est-ce que tu t'en sors? ;7 GB ( approach) he's getting on for 40 il approche des quarante ans ; it's getting on for midnight il est presque minuit ; there are getting on for 80 people ○ il y a presque 80 personnes ;8 ( grow late) time's getting on le temps passe ;9 ( grow old) to be getting on a bit commencer à vieillir ;▶ get [sth] on, get on [sth] ( put on) mettre [boots, clothing] ; monter [tyre] ; mettre [lid, tap washer etc].■ get onto:▶ get onto [sth]1 ( board) monter dans [vehicle] ;2 ( be appointed) être nommé à [Board] ;3 ( start to discuss) arriver à parler de [topic, subject] ;■ get on with:▶ get on with [sth] ( continue to do) to get on with one's work/with preparing the meal continuer à travailler/à préparer le repas ; let's get on with the job! au travail! ;▶ get on with [sb] GB s'entendre avec [person].■ get out:▶ get out1 ( exit) sortir (through, by par) ; get out and don't come back! va-t'en et ne reviens pas! ; they'll never get out alive ils ne s'en sortiront jamais vivants ;2 ( make social outing) sortir ; you should get out more tu devrais sortir plus ;3 (resign, leave) partir ;4 ( alight) descendre ;6 ( leak) [news] être révélé ;▶ get [sth] out, get out [sth]1 ( bring out) sortir [handkerchief, ID card] ;3 ( erase) enlever [stain] ;4 ( take on loan) emprunter [library book] ;5 ( produce) sortir [plans, product] ;6 ( utter) I couldn't get the words out les mots ne voulaient pas sortir ;7 ( solve) faire [puzzle] ;▶ get [sb] out ( release) faire libérer [prisoner] ; to get sb out of sth ( free from detention) ( personally) libérer qn de qch ; ( by persuasion) faire libérer qn de qch [prisoner] ; to get sth out of sth ( bring out) sortir qch de qch [handkerchief etc] ; ( find and remove) récupérer qch dans qch [required object, stuck object] ; I can't get it out of my mind je ne peux pas l'effacer de mon esprit.■ get out of:▶ get out of [sth]1 ( exit from) sortir de [building, bed] ;2 ( alight from) descendre de [vehicle] ;3 ( leave at end of) sortir de [meeting] ;4 ( be freed from) être libéré de [prison] ;5 ( withdraw from) quitter [organization] ; échapper à [responsibilities] ; he's got out of oil ○ ( as investment) il a vendu toutes ses actions dans le pétrole ;6 ( avoid doing) s'arranger pour ne pas aller à [appointment, meeting] ; I'll try to get out of it j'essaierai de me libérer ; I accepted the invitation and now I can't get out of it j'ai accepté l'invitation et maintenant je ne peux pas me défiler ○ ; to get out of doing s'arranger pour ne pas faire ;7 ( no longer do) perdre [habit] ;8 ( gain from) what do you get out of your job? qu'est-ce que ton travail t'apporte? ; what will you get out of it? qu'est-ce que vous en retirerez?■ get over:▶ get over [sth]1 ( cross) traverser [bridge, stream] ;2 ( recover from) se remettre de [illness, shock] ; to get over the fact that se remettre du fait que ; I can't get over it ( in amazement) je n'en reviens pas ; I couldn't get over how she looked ça m'a fait un choc de la voir comme ça ; I can't get over how you've grown je n'en reviens pas de ce que tu as grandi ;3 ( surmount) surmonter [problem] ; to get sth over with en finir avec qch ; let's get it over with finissons-en ;4 ( stop loving) oublier ; she never got over him elle ne l'a jamais oublié ;▶ get [sb/sth] over1 ( cause to cross) faire passer [injured person, object] ; faire passer [qn/ qch] au-dessus de [bridge, wall etc] ;2 ( cause to arrive) get the plumber over here at once faites venir tout de suite le plombier ;3 ( communicate) faire passer [message].■ get round GB:▶ get round = get around ;▶ get round [sth] = get around [sth] ;▶ get round ○ [sb] persuader [qn], avoir [qn] au sentiment ○ ; can't you get round him? est-ce que tu ne peux pas le persuader? ; she easily gets round her father elle fait tout ce qu'elle veut de son père.■ get through:1 ( squeeze through) passer ;2 Telecom to get through to sb avoir qn au téléphone ; I couldn't get through je n'ai pas réussi à l'avoir ;4 ( arrive) [news, supplies] arriver ;5 ( survive) s'en sortir (by doing en faisant) ;▶ get through [sth]1 ( make way through) traverser [checkpoint, mud] ;3 ( survive mentally) I thought I'd never get through the week j'ai cru que je ne tiendrais pas la semaine ;4 ( complete successfully) [candidate, competitor] réussir à [exam, qualifying round] ; I got through the interview l'entretien s'est bien passé ;5 (consume, use) manger [supply of food] ; boire [supply of drink] ; dépenser [money] ; I get through two notebooks a week il me faut or j'use deux carnets par semaine ;▶ get [sb/sth] through1 ( squeeze through) faire passer [car, object, person] ;2 ( help to endure) [pills, encouragement, strength of character] aider [qn] à continuer ; her advice/these pills got me through the day ses conseils/ces comprimés m'ont aidé à tenir le coup ○ ;3 ( help through frontier etc) faire passer [person, imported goods] ;5 Pol faire passer [bill].■ get together:▶ get together ( assemble) se réunir (about, over pour discuter de) ;▶ get [sb/sth] together, get together [sb/sth]1 ( assemble) réunir [different people, groups] ;3 ( form) former [company, action group].■ get under:▶ get under passer en-dessous ;▶ get under [sth] passer sous [barrier, floorboards etc].■ get up:▶ get up1 (from bed, chair etc) se lever (from de) ; get up off the grass! ne reste pas sur l'herbe! ;2 (on horse, ledge etc) monter ; how did you get up there? comment est-ce que tu es monté là-haut? ;4 to get up to ( reach) arriver à [page, upper floor] ; what did you get up to? fig ( sth enjoyable) qu'est-ce que tu as fait de beau? ; ( sth mischievous) qu'est-ce que tu as fabriqué ○ ? ;▶ get up [sth]1 arriver en haut de [hill, ladder] ;2 ( increase) augmenter [speed] ;3 (start, muster) former [group] ; faire [petition] ; obtenir [support, sympathy] ;▶ get [sth] up organiser ; -
12 Knowledge
It is indeed an opinion strangely prevailing amongst men, that houses, mountains, rivers, and, in a word, all sensible objects, have an existence, natural or real, distinct from their being perceived by the understanding. But, with how great an assurance and acquiescence soever this principle may be entertained in the world, yet whoever shall find in his heart to call it into question may, if I mistake not, perceive it to involve a manifest contradiction. For, what are the forementioned objects but things we perceive by sense? and what do we perceive besides our own ideas or sensations? and is it not plainly repugnant that any one of these, or any combination of them, should exist unperceived? (Berkeley, 1996, Pt. I, No. 4, p. 25)It seems to me that the only objects of the abstract sciences or of demonstration are quantity and number, and that all attempts to extend this more perfect species of knowledge beyond these bounds are mere sophistry and illusion. As the component parts of quantity and number are entirely similar, their relations become intricate and involved; and nothing can be more curious, as well as useful, than to trace, by a variety of mediums, their equality or inequality, through their different appearances.But as all other ideas are clearly distinct and different from each other, we can never advance farther, by our utmost scrutiny, than to observe this diversity, and, by an obvious reflection, pronounce one thing not to be another. Or if there be any difficulty in these decisions, it proceeds entirely from the undeterminate meaning of words, which is corrected by juster definitions. That the square of the hypotenuse is equal to the squares of the other two sides cannot be known, let the terms be ever so exactly defined, without a train of reasoning and enquiry. But to convince us of this proposition, that where there is no property, there can be no injustice, it is only necessary to define the terms, and explain injustice to be a violation of property. This proposition is, indeed, nothing but a more imperfect definition. It is the same case with all those pretended syllogistical reasonings, which may be found in every other branch of learning, except the sciences of quantity and number; and these may safely, I think, be pronounced the only proper objects of knowledge and demonstration. (Hume, 1975, Sec. 12, Pt. 3, pp. 163-165)Our knowledge springs from two fundamental sources of the mind; the first is the capacity of receiving representations (the ability to receive impressions), the second is the power to know an object through these representations (spontaneity in the production of concepts).Through the first, an object is given to us; through the second, the object is thought in relation to that representation.... Intuition and concepts constitute, therefore, the elements of all our knowledge, so that neither concepts without intuition in some way corresponding to them, nor intuition without concepts, can yield knowledge. Both may be either pure or empirical.... Pure intuitions or pure concepts are possible only a priori; empirical intuitions and empirical concepts only a posteriori. If the receptivity of our mind, its power of receiving representations in so far as it is in any way affected, is to be called "sensibility," then the mind's power of producing representations from itself, the spontaneity of knowledge, should be called "understanding." Our nature is so constituted that our intuitions can never be other than sensible; that is, it contains only the mode in which we are affected by objects. The faculty, on the other hand, which enables us to think the object of sensible intuition is the understanding.... Without sensibility, no object would be given to us; without understanding, no object would be thought. Thoughts without content are empty; intuitions without concepts are blind. It is therefore just as necessary to make our concepts sensible, that is, to add the object to them in intuition, as to make our intuitions intelligible, that is to bring them under concepts. These two powers or capacities cannot exchange their functions. The understanding can intuit nothing, the senses can think nothing. Only through their union can knowledge arise. (Kant, 1933, Sec. 1, Pt. 2, B74-75 [p. 92])Metaphysics, as a natural disposition of Reason is real, but it is also, in itself, dialectical and deceptive.... Hence to attempt to draw our principles from it, and in their employment to follow this natural but none the less fallacious illusion can never produce science, but only an empty dialectical art, in which one school may indeed outdo the other, but none can ever attain a justifiable and lasting success. In order that, as a science, it may lay claim not merely to deceptive persuasion, but to insight and conviction, a Critique of Reason must exhibit in a complete system the whole stock of conceptions a priori, arranged according to their different sources-the Sensibility, the understanding, and the Reason; it must present a complete table of these conceptions, together with their analysis and all that can be deduced from them, but more especially the possibility of synthetic knowledge a priori by means of their deduction, the principles of its use, and finally, its boundaries....This much is certain: he who has once tried criticism will be sickened for ever of all the dogmatic trash he was compelled to content himself with before, because his Reason, requiring something, could find nothing better for its occupation. Criticism stands to the ordinary school metaphysics exactly in the same relation as chemistry to alchemy, or as astron omy to fortune-telling astrology. I guarantee that no one who has comprehended and thought out the conclusions of criticism, even in these Prolegomena, will ever return to the old sophistical pseudo-science. He will rather look forward with a kind of pleasure to a metaphysics, certainly now within his power, which requires no more preparatory discoveries, and which alone can procure for reason permanent satisfaction. (Kant, 1891, pp. 115-116)Knowledge is only real and can only be set forth fully in the form of science, in the form of system. Further, a so-called fundamental proposition or first principle of philosophy, even if it is true, it is yet none the less false, just because and in so far as it is merely a fundamental proposition, merely a first principle. It is for that reason easily refuted. The refutation consists in bringing out its defective character; and it is defective because it is merely the universal, merely a principle, the beginning. If the refutation is complete and thorough, it is derived and developed from the nature of the principle itself, and not accomplished by bringing in from elsewhere other counter-assurances and chance fancies. It would be strictly the development of the principle, and thus the completion of its deficiency, were it not that it misunderstands its own purport by taking account solely of the negative aspect of what it seeks to do, and is not conscious of the positive character of its process and result. The really positive working out of the beginning is at the same time just as much the very reverse: it is a negative attitude towards the principle we start from. Negative, that is to say, in its one-sided form, which consists in being primarily immediate, a mere purpose. It may therefore be regarded as a refutation of what constitutes the basis of the system; but more correctly it should be looked at as a demonstration that the basis or principle of the system is in point of fact merely its beginning. (Hegel, 1910, pp. 21-22)Knowledge, action, and evaluation are essentially connected. The primary and pervasive significance of knowledge lies in its guidance of action: knowing is for the sake of doing. And action, obviously, is rooted in evaluation. For a being which did not assign comparative values, deliberate action would be pointless; and for one which did not know, it would be impossible. Conversely, only an active being could have knowledge, and only such a being could assign values to anything beyond his own feelings. A creature which did not enter into the process of reality to alter in some part the future content of it, could apprehend a world only in the sense of intuitive or esthetic contemplation; and such contemplation would not possess the significance of knowledge but only that of enjoying and suffering. (Lewis, 1946, p. 1)"Evolutionary epistemology" is a branch of scholarship that applies the evolutionary perspective to an understanding of how knowledge develops. Knowledge always involves getting information. The most primitive way of acquiring it is through the sense of touch: amoebas and other simple organisms know what happens around them only if they can feel it with their "skins." The knowledge such an organism can have is strictly about what is in its immediate vicinity. After a huge jump in evolution, organisms learned to find out what was going on at a distance from them, without having to actually feel the environment. This jump involved the development of sense organs for processing information that was farther away. For a long time, the most important sources of knowledge were the nose, the eyes, and the ears. The next big advance occurred when organisms developed memory. Now information no longer needed to be present at all, and the animal could recall events and outcomes that happened in the past. Each one of these steps in the evolution of knowledge added important survival advantages to the species that was equipped to use it.Then, with the appearance in evolution of humans, an entirely new way of acquiring information developed. Up to this point, the processing of information was entirely intrasomatic.... But when speech appeared (and even more powerfully with the invention of writing), information processing became extrasomatic. After that point knowledge did not have to be stored in the genes, or in the memory traces of the brain; it could be passed on from one person to another through words, or it could be written down and stored on a permanent substance like stone, paper, or silicon chips-in any case, outside the fragile and impermanent nervous system. (Csikszentmihalyi, 1993, pp. 56-57)Historical dictionary of quotations in cognitive science > Knowledge
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