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81 back
A n1 Anat, Zool dos m ; to be (flat) on one's back lit être (à plat) sur le dos ; fig être au lit ; to sleep on one's back dormir sur le dos ; he was lying on his back il était allongé sur le dos ; to travel on the back of a donkey voyager à dos d'âne ; to have one's back to sb/sth tourner le dos à qn/qch ; with her back to the door le dos tourné vers la porte ; to turn one's back on sb/sth lit, fig tourner le dos à qn/qch ; as soon as my back is turned dès que j'ai le dos tourné ; to do sth behind sb's back lit, fig faire qch dans le dos de qn ; with one's back to the engine dans le sens contraire à la marche ; to put one's back into it ○ travailler dur ; put your back into it ○ ! allons, un peu de nerf ○ ! ; he's always on my back ○ il est toujours sur mon dos ; get off my back ○ ! fiche-moi la paix ○ ! ; I was glad to see the back of him j'étais content de le voir partir ; to be at the back of être à l'origine de [conspiracy, proposal] ; to put sb's back up offenser qn ; to live off sb's back vivre aux crochets de qn ;2 ( reverse side) (of page, cheque, card, envelope) dos m, verso m ; ( of fabric) envers m ; (of medal, coin) revers m ; on the back of an envelope au dos d'une enveloppe ; to sign the back of a cheque endosser un chèque ; the back of the hand le dos de la main ;4 ( rear-facing part) ( of vehicle) arrière m ; ( of electrical appliance) face f arrière ; (of shirt, coat) dos m ; to hang one's coat on the back of the door pendre son manteau derrière la porte ; the shelves are oak but the back is plywood les étagères sont en chêne mais le fond est en contreplaqué ; a blow to the back of the head un coup sur l'arrière de la tête ; a lump on the back of the head une bosse derrière la tête ; the knife fell down the back of the fridge le couteau est tombé derrière le réfrigérateur ; the keys were down the back of the sofa les clés avaient glissé derrière les coussins du canapé ;5 ( area behind building) to be out back, to be in the back US ( in the garden) être dans le jardin ; ( in the yard) être dans la cour ; he's round ou in the back il est dans le jardin ; the view out back is lovely la vue que l'on a à l'arrière est très jolie ; there's a small garden out back ou round the back il y a un petit jardin derrière ; the bins are out back ou round the back les poubelles sont derrière la maison ; the steps at the back of the building l'escalier à l'arrière de l'immeuble ;6 Aut arrière m ; to sit in the back s'asseoir à l'arrière ; there are three children in the back il y a trois enfants à l'arrière ; to sit at the back of the plane/at the back of the bus s'asseoir à l'arrière de l'avion/au fond du bus ;7 ( furthest away area) (of cupboard, drawer, fridge) fond m ; ( of stage) fond m ; at ou in the back of the drawer au fond du tiroir ; right at the back of the cupboard tout au fond du placard ; at the back of the audience au fond de la salle ; those at the back couldn't see ceux qui étaient derrière ne pouvaient pas voir ; the back of the throat l'arrière-gorge f ; the back of the mouth la gorge f ;8 (of chair, sofa) dossier m ;11 ( book spine) dos m.B adj1 ( at the rear) [axle, wheel, bumper] arrière ; [paw, leg] arrière ; [bedroom] du fond ; [edge] arrière ; [page] dernier/-ière (before n) ; [garden, gate] de derrière ; back tooth molaire f ;C adv1 ( indicating return after absence) to be back être de retour ; I'll be back in five minutes/six weeks je reviens dans cinq minutes/six semaines ; to arrive ou come back rentrer (from de) ; he's back at work il a repris le travail ; she's back in (the) hospital elle est retournée à l'hôpital ; it's good to be back home c'est agréable de rentrer chez soi or de se retrouver à la maison ; when is he due back? quand doit-il rentrer? ; to go back to reprendre [work] ; retourner en [France, China] ; retourner au [Canada, Japan] ; retourner à [Paris, museum, shop] ; the mini-skirt is back ( in fashion) les mini-jupes sont de nouveau à la mode ;2 ( in return) to call ou phone back rappeler ; I'll write back (to him) je lui répondrai ; he hasn't written back yet il n'a pas encore répondu ; ‘OK,’ he shouted back ‘OK,’ a-t-il répondu en criant ; to punch sb back rendre son coup à qn ; to smile back at sb rendre son sourire à qn ; he was rude back il a été aussi impoli avec moi que je l'avais été avec lui ; ⇒ answer ;3 (backwards, in a reverse direction) [glance, jump, step, lean] en arrière ;4 ( away) we overtook him 20 km back nous l'avons doublé il y a 20 km ; there's a garage 10 km back nous avons passé un garage à 10 km en arrière ;6 ( a long time ago) back in 1964/April en 1964/avril ; back before Easter/the revolution avant Pâques/la révolution ; back in the days when du temps où ; it was obvious as far back as last year/1985 that déjà l'année dernière/en 1985 il était évident que ; to go ou date back to remonter à [Roman times, 1700] ;7 ( once again) she's back in power/control elle a repris le pouvoir/les commandes ; Paul is back at the wheel Paul a repris le volant ; to get back to sleep se rendormir ; to go back home rentrer chez soi ; to go back to bed se recoucher ;8 ( nearer the beginning) ten lines back dix lignes plus haut ; ten pages back dix pages plus tôt or avant ;9 ( indicating return to sb's possession) to give/send sth back rendre/renvoyer qch (to à) ; to put sth back remettre qch ; I've got my books back on m'a rendu mes livres ; to get one's money back être remboursé ; he wants his dictionary back now il veut que tu lui rendes son dictionnaire tout de suite ;10 ( expressing a return to a former location) to travel to London and back faire l'aller-retour à Londres ; the journey to Madrid and back l'aller-retour à Madrid ; we walked there and took the train back nous y sommes allés à pied et nous avons pris le train pour rentrer ; how long will it take to drive back? combien de temps est-ce que ça prendra pour rentrer en voiture? ;11 ( in a different location) meanwhile, back in France, he… pendant ce temps, en France, il… ; back in the studio, recording had begun au studio, l'enregistrement avait commencé ; I'll see you back at the house/in the office je te verrai à la maison/au bureau.D back and forth adv phr to go ou travel back and forth ( commute) [person, bus] faire la navette (between entre) ; to walk ou go back and forth faire des allées et venues (between entre) ; to swing back and forth [pendulum] osciller ; to sway back and forth se balancer ; the film cuts ou moves back and forth between New York and Paris le film se passe entre New York et Paris.E vtr1 ( support) soutenir [candidate, party, person, bid, bill, action] ; appuyer [application] ; apporter son soutien à [enterprise, project] ; the strike is backed by the union le syndicat soutient la grève ; the junta is backed by the militia la junte est soutenue par la milice ;2 ( finance) financer [project, undertaking] ;4 ( substantiate) justifier [argument, claim] (with à l'aide de) ;5 ( reverse) faire reculer [horse] ; to back the car into the garage rentrer la voiture au garage en marche arrière ; to back sb into/against sth faire reculer qn dans/contre qch ; to back oars ou water déramer ;6 ( bet on) parier sur [horse, favourite, winner] ; to back a loser [race goer] miser sur un cheval perdant ; fig ( invest ill-advisedly) mal placer son argent ; ( support a lost cause) soutenir une cause perdue d'avance ; to back the wrong horse lit, fig miser sur le mauvais cheval ;7 (stiffen, line) consolider, renforcer [structure] ; endosser [book] ; renforcer, entoiler [map] ; maroufler [painting] ; doubler [fabric] ;8 Mus accompagner [singer, performer] ;9 Naut masquer, coiffer [sail].F vi1 ( reverse) faire marche arrière ;2 Naut [wind] changer de direction.G - backed (dans composés)1 ( of furniture) a high-/low-backed chair une chaise avec un dossier haut/bas ;2 (lined, stiffened) canvas-/foam-backed doublé de toile/de mousse ;4 ( financed) government-backed financé par l'État.to break the back of a journey/task faire le plus gros du voyage/travail. ⇒ beyond, duck, hand, own, scratch, wall.■ back away reculer ; to back away from lit s'éloigner de [person, precipice] ; fig prendre ses distances par rapport à [issue, problem] ; chercher à éviter [confrontation].■ back down:▶ back down ( give way) céder ; you can't back down now tu ne peux pas céder maintenant ; to back down from chercher à éviter [confrontation] ; to back down on ou over reconsidérer [sanctions, proposal, allegations] ;▶ back down [sth] [person] descendre [qch] à reculons [slope] ; [car] descendre [qch] en marche arrière [drive, hill].■ back off1 ( move away) reculer ;■ back onto:▶ back onto [sth] [house] donner sur [qch] à l'arrière [fields, railway].■ back out:▶ back out1 ( come out backwards) [person] sortir à reculons ; [car, driver] sortir en marche arrière ; to back out of [person] sortir de [qch] en reculant [room] ; [car, driver] sortir de [qch] en marche arrière [garage, parking space] ;2 ( renege on) se désister, reculer ; to back out of annuler [deal, contract] ; [competitor, team] se retirer de [event] ;▶ back [sth] out faire sortir [qch] en marche arrière [vehicle] ; to back the car out of the garage faire sortir la voiture du garage en marche arrière.■ back up:▶ back up1 ( reverse) [driver, vehicle] reculer, faire marche arrière ; back up a few metres recule de quelques mètres ;▶ back [sth] up, back up [sth]2 Comput sauvegarder [data, file] ;▶ back [sb] up soutenir [person]. -
82 component
1. компонент; составная часть, элемент; агрегат; узел; блок; деталь2. составляющая, компонентаcomponent about the axiscomponent along the axiscomponent of the load factorcomponent of the momentcomponent of the thrustacceleration componentangular velocity componentaxial componentCartesian componentscirculatory componentcool engine componentcrosswind componentdisplacement componentdrag componentforce componentheadwind componenthigh-use componentshot-end componentinertial componentin-plane componentinput componentintegrally machined componentlift componentlift-dependent componentlong-lead-time componentslongitudinal componentmotivator componentnoncirculatory componentoscillatory componentoutput componentradar-reflective componentrearward componentresultant force componentresultant moment componentrotating componentssideforce componentstrain componentstress componentstructure componentsystematic componenttailwind componenttensorial componentthrust componenttorque componentupward componentvelocity componentwind componentwind velocity component -
83 construction
конструкция; сооружение; стройка, строительство; см. тж. structurering stiffened semi-monocoque construction — полумонококовая конструкция, подкрепленная шпангоутами
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84 response
реакция, поведение ( в ответ на воздействие) ; чувствительность ( прибора) ; динамические [частотные] характеристики; дв. приёмистостьairplane response to an attitude change — реакция самолёта на изменение углов пространственного положения
fuselage-bending response in turbulence — изгибные деформации фюзеляжа в условиях турбулентной атмосферы
heave-pitch response of aircraft — вертикальные и тангажные [продольные] колебания ЛА
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85 Darby, Abraham
SUBJECT AREA: Metallurgy[br]b. 1678 near Dudley, Worcestershire, Englandd. 5 May 1717 Madely Court, Coalbrookdale, Shropshire, England[br]English ironmaster, inventor of the coke smelting of iron ore.[br]Darby's father, John, was a farmer who also worked a small forge to produce nails and other ironware needed on the farm. He was brought up in the Society of Friends, or Quakers, and this community remained important throughout his personal and working life. Darby was apprenticed to Jonathan Freeth, a malt-mill maker in Birmingham, and on completion of his apprenticeship in 1699 he took up the trade himself in Bristol. Probably in 1704, he visited Holland to study the casting of brass pots and returned to Bristol with some Dutch workers, setting up a brassworks at Baptist Mills in partnership with others. He tried substituting cast iron for brass in his castings, without success at first, but in 1707 he was granted a patent, "A new way of casting iron pots and other pot-bellied ware in sand without loam or clay". However, his business associates were unwilling to risk further funds in the experiments, so he withdrew his share of the capital and moved to Coalbrookdale in Shropshire. There, iron ore, coal, water-power and transport lay close at hand. He took a lease on an old furnace and began experimenting. The shortage and expense of charcoal, and his knowledge of the use of coke in malting, may well have led him to try using coke to smelt iron ore. The furnace was brought into blast in 1709 and records show that in the same year it was regularly producing iron, using coke instead of charcoal. The process seems to have been operating successfully by 1711 in the production of cast-iron pots and kettles, with some pig-iron destined for Bristol. Darby prospered at Coalbrookdale, employing coke smelting with consistent success, and he sought to extend his activities in the neighbourhood and in other parts of the country. However, ill health prevented him from pursuing these ventures with his previous energy. Coke smelting spread slowly in England and the continent of Europe, but without Darby's technological breakthrough the ever-increasing demand for iron for structures and machines during the Industrial Revolution simply could not have been met; it was thus an essential component of the technological progress that was to come.Darby's eldest son, Abraham II (1711–63), entered the Coalbrookdale Company partnership in 1734 and largely assumed control of the technical side of managing the furnaces and foundry. He made a number of improvements, notably the installation of a steam engine in 1742 to pump water to an upper level in order to achieve a steady source of water-power to operate the bellows supplying the blast furnaces. When he built the Ketley and Horsehay furnaces in 1755 and 1756, these too were provided with steam engines. Abraham II's son, Abraham III (1750–89), in turn, took over the management of the Coalbrookdale works in 1768 and devoted himself to improving and extending the business. His most notable achievement was the design and construction of the famous Iron Bridge over the river Severn, the world's first iron bridge. The bridge members were cast at Coalbrookdale and the structure was erected during 1779, with a span of 100 ft (30 m) and height above the river of 40 ft (12 m). The bridge still stands, and remains a tribute to the skill and judgement of Darby and his workers.[br]Further ReadingA.Raistrick, 1989, Dynasty of Iron Founders, 2nd edn, Ironbridge Gorge Museum Trust (the best source for the lives of the Darbys and the work of the company).H.R.Schubert, 1957, History of the British Iron and Steel Industry AD 430 to AD 1775, London: Routledge \& Kegan Paul.LRD -
86 Rogallo, Francis Melvin
SUBJECT AREA: Aerospace[br]b. 1912 USA[br]American engineer who patented a flexible-winged hand-glider in 1948.[br]After the hang-gliders of pioneers such as Lilienthal, Pilcher and Chanute in the 1890s, this form of flying virtually disappeared for seventy years. It was reintroduced in the late 1960s based on Francis Rogallo's flexible wing, patented in the United States in 1948. Rogallo's wing was very basic: it consisted of a fabric delta wing with a solid boom along each leading edge and one along the centre line. Between these booms, the fabric was free to billow out into two partial cones. Variations of the Rogallo flexible wing were investigated in the 1960s by Ryans as a means of recovering space vehicles (e.g. Saturn booster), and by North American for the recovery of Gemini spacecraft. In 1963 a version with a 155 kW (210 hp) engine was tested by the US services as a potential lightweight transport vehicle. None of these made a great impact and the Rogallo wing became popular as a hang-glider c. 1970. The pilot was suspended in a harness below a lightweight Rogallo wing. A framework attached to the wing structure allowed the pilot to move his or her body in any direction relative to the wing. Thus, if they wished to dive, they would move their weight forward, which made the glider nose-heavy. This was a great improvement over the earlier hang-gliders, in which the upper part of the pilot's body was held in a fixed position and control was achieved by swinging the legs. Rogallo-wing hang-gliders became very popular as they were relatively cheap and easy to transport. Once the sport developed, powered "microlights" made their appearance and a new branch of popular flying was established.[br]Further ReadingAnn Welsh, 1977, "Hang glider development", Aerospace (Royal Aeronautical Society) (August/September).JDSBiographical history of technology > Rogallo, Francis Melvin
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87 box
box nкоробкаaircraft accessory gear boxкоробка приводов самолетных агрегатовblack boxрегистратор параметров полетаbox bulkhead ribкессонная нервюраbox ribкоробчатая нервюраbox sparкессонный лонжеронbox wrenchторцовый ключ внутреннего типаengine accessory gear boxкулачковый механизмfeed boxкоробка передачgear boxкоробка приводовgear box drain valveсливной кран коробки приводовintermediate gear boxпромежуточный редукторinterphone control boxабонентский аппарат переговорного устройстваjunction boxраспределительная коробкаmain gear boxглавный редукторmain junction boxцентральное распределительное устройствоnozzle box adapterпатрубок газосборникаnozzle box ductпатрубок газосборникаquick release boxзамок быстрого отстегиванияrelay boxкоробка релеrotor gear boxредуктор трансмиссии привода винтовseparation boxсортовикspar boxкессонswitch boxблок выключателейtest boxбокс для испытанияtorque boxкессонtorsion box stabilizerстабилизатор кессонной конструкцииtorsion box structureкессонная конструкцияtorsion box wingкрыло кессонной конструкцииwing boxотсек кессона крылаwing box panelпанель кессона крыла -
88 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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89 assembly
1. n1) асамблея2) збирання, монтаж (процес); компонування3) пристрій, установка; зібраний агрегат чи вузол4) блок; конструкція5) пакет2. a◊•- accessory drive assembly - active docking assembly - antenna assembly - automated assembly - brake assembly - brake rotor and stator assembly - cascade-vane assembly - centrifugal flyweights assembly - combustion assembly - cowl flap actuating assembly - cylinder assembly - docking assembly - dumbbell assembly - emergency extension assembly - engine-mounted assembly - European Air Carriers Assembly - fin assembly - follow-up assembly - fuel control assembly - functional assembly - fuselage assembly - fusible plug assembly - gear assembly - guide vane assembly - housing assembly - improper assembly - laterally docking assembly - leading edge assembly - limit switch assembly - longitudinal docking assembly - maneuver propulsion assembly - mixture control assembly - module assembly - multiple aerial-camera assembly - oil cooler actuating assembly - on-orbit assembly - orbital assembly - partial assembly - passive docking assembly - radially docking assembly - ram air assembly - reaction control assembly - reduction gear assembly - retraction/extension assembly - rotor clutch assembly - scanner assembly - shutters assembly - sleeve assembly - step-by-step assembly - tail assembly - tailwheel assembly - throttle valve assembly - trailing edge assembly - transformation structure assembly - unitary assembly - visor assembly - wheel and yoke assembly -
90 catalytic converter
каталитический конвертер
—
[ http://www.eionet.europa.eu/gemet/alphabetic?langcode=en]EN
catalytic converter
Catalytic converters are designed to clean up the exhaust fumes from petrol-driven vehicles, which are otherwise the major threat to air quality standards in congested urban streets and on motorways. Converters remove carbon monoxide, the unburned hydrocarbons and the oxides of nitrogen. These compounds are damaging to human health and the environment in a variety of ways. The converter is attached to the vehicle' s exhaust near the engine. Exhaust gases pass through the cellular ceramic substrate, a honeycomb-like filter. While compact, the intricate honeycomb structure provides a surface area of 23.000 square metres. This is coated with a thin layer of platinum, palladium and rhodium metals, which act as catalysts that simulate a reaction to changes in the chemical composition of the gases. Platinum and palladium convert hydrocarbons and carbon monoxide into carbon dioxide and water vapour. Rhodium changes nitrogen oxides and hydrocarbons into nitrogen and water, which are harmless. (Source: WRIGHT)
[http://www.eionet.europa.eu/gemet/alphabetic?langcode=en]Тематики
EN
DE
FR
каталитический нейтрализатор отработавших газов двигателя автомобиля
каталитический нейтрализатор
Ндп. каталитический дожигатель
каталитический конвертер
каталитический очиститель
Устройство для нейтрализации отработавших газов двигателя автомобиля методом каталитического воздействия.
[ ГОСТ 17.2.1.02-76]
Примечание
В тексте справочного пособия термины, относящиеся к трактору, самоходным сельскохозяйственным машинам, строительно-дорожным самоходным машинам, мотоциклу, мопеду, мотороллеру, мотовелосипеду и двигателям к ним, не приводятся, их следует строить аналогично терминам «Выбросы автомобиля», «Выбросы двигателя автомобиля» и т.д. заменой слова «автомобиля» словом «трактора», комбайна» и т.д.
[Защита атмосферного воздуха от антропогенного загрязнения. Основные понятия, термины и определения (справочное пособие). Санкт-Петербург 2003 г.]Недопустимые, нерекомендуемые
Тематики
Синонимы
EN
DE
FR
Англо-русский словарь нормативно-технической терминологии > catalytic converter
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