-
21 distribution
distribution f, diffusion f; (of dividend) répartition f;∎ wholesale and retail distribution commerce m de gros et de détaildistribution agency agence f de distribution;distribution agent agent m de distribution;distribution centre centre m de distribution;distribution chain chaîne f de distribution;distribution channel canal m de distribution;distribution contract contrat m de distribution;distribution costs frais m pl de distribution, coût m de la distribution;distribution cycle cycle m de la distribution;distribution depot dépôt m de distribution;distribution market marché m de la distribution;distribution method mode m de distribution;distribution network réseau m de distribution, circuit m de distribution;distribution outlet point m de distribution;distribution planning planning m de distribution;distribution policy politique f de distribution;distribution process processus m de distribution;distribution ratio ratio m de distribution;distribution rights droits m pl de distribution, droits de diffusion;distribution system système m de distribution -
22 method
1) метод; способ; средство2) система; порядок3) технология4) методика•- method of applying liquid lubrication - method of calculation - method of column analogy - method of comparison - method of connecting - method of determining bending moments by fixed points - method of directions - method of elastic arch - method of elastic weights - method of electric needles - method of exchange of members - method of firing - method of fixed points - method of images - method of initial parameters - method of joints - method of least squares - method of least work - method of limit equilibrium - method of minimum strain energy - method of moments - method of movement - method of operation - method of payment - method of planning - method of production - method of redundant reactions - method of rotations - method of sections - method of separate joint displacement - method of slopes - method of stowage - method of strain measurement method - method of substitute redundant members - method of successive approximations - method of successive corrections - method of training - method of transportation - method of working - method of zero moment points - methods of network planning and control - ad hoc method - advertising method - aero-projection method - air-permeability method - airslide method - approximation method - arbitrary proportions method - area moment method - artificial islands method - ball method of testing - bench method - bidding methods - brush method of treatment timber - building methods - caisson method - cantilever method of design - cassette method of production of thin-slab structures - central mixing method - centre drift method - centrifuge method - centroidal method of design - change-in-stress method - chemical injection method - closed building method - column analogy method of design - compressed-air method of tunnelling - concrete testing method - cone method - construction works quality control method - core-drill method - correlation method - cut-and-cover method - cut-and-try method - cylinder method - deflection method - design methods - development method - dip method - dipping method of treatment timber - effective method - electrolytic method - emulsified-asphalt penetration method - energy method - equal load increments method - equal strain method - error method - fabrication method - fixing method - float and chains method - flow-line conveyer method - force method - graphical method - heading method of tunnelling - hot-air heating standpipe method - hot penetration method - hydraulic fill method - impact method - kinematic method - lacquer film method - land-assembly methods - lift-slab method - limit equilibrium method - limit stage design method - line production method - loading method - magnaflux method - mechanical method by pumps - membrane method of waterproofing - mixed-in-place method - mock-up methods of design - modular ratio method - moire fringe method - moment area method - moment-distribution method - moment-of-inertia method of designing - mud-jack method - mulch method - near end moment distribution method - neutral-points method - non-destructive testing methods - normal method - packing methods - patented method of construction - penetration method - percussive pneumatic method of riveting - photo-elastic method of stress-determination - photo-elasticity method - pilot method - pilot tunnel method - pin-and-string method - pipe-bridge method - plastic method of design - plastic theory method - polarized light method - portal method of design - pounding method of curing concrete - production line method of construction - qualitative methods - quantitative methods - relaxation method - ring-and-ball method - rolled-on method - safe method of heat insulation - safety methods - sampling method - sand-bearing method of testing clay pipes - sand-island method - scheduling method - seismic method of prospecting - simultaneous construction method - slope deflection method - spatial self-fixation erection method - statistical analysis method - stovepipe pipe-laying method - strain-energy method - successive construction method - surface-coating method of waterproofing - synthetic method of restoration - thixotropic liquid method - tilt-up method - top-heading method - transfiguration method - trial-load method - turnover method - ultimate-strength method - ultrasonic pulse velocity method - void method of proportioning - volume method of concrete mix design - volumetric method - water-jet method of pile-driving - weight method - well-point method of excavation - work method - working stress method of design* * *метод, способ; система; порядок; методика; технология- method of analysis
- method of application
- method of attack
- method of bearing and distances
- method of bipolar coordinates
- method of calculation
- method of design
- method of detail survey
- method of elastic weights
- method of electric needles
- method of expansion into series
- method of fixed points
- method of intersection
- method of joint isolation
- method of least work
- methods of manufacture
- method of minimum strain energy
- method of moment distribution
- method of radiation
- method of redistribution of pressure
- method of sections
- method of steam jet
- methods of structural analysis
- method of successive approximations
- methods of testing
- method of water needles
- accepted method of building
- accepted method of house construction
- accurate method of analysis
- adhesive nail-on method
- admittance method
- advanced methods of concreting
- advance slope method
- aggregate exposure method
- air permeability method
- alternate methods
- American method
- analytical method of determining reactions
- API method of pile design
- approximate method
- approximation method
- area method
- area-moment method
- assembly methods
- Austrian method
- autogenous curing method
- balanced cantilever method
- Belgian method
- Benoto method
- bentonite method
- Billner method
- "bin" method
- boiling water method
- boom placement concreting method
- bricklaying methods
- building method
- building block module method
- cable method of rock stressing
- calculation method
- cantilever method
- Chicago method
- circular-arc method
- Coast-Survey method
- collapse method of structural design
- combined finite strip-finite element method
- compaction methods of clays
- conjugate beam method
- consistency measurement method
- construction methods
- construction and erection methods
- contiguous pile method
- continuous-flight augers method
- continuous-sample method of advance
- convergence method
- critical method
- critical path method
- Cross moment distribution method
- Cross method
- cross-section method
- current design methods
- cut-and-cover method
- dampproofing methods
- displacement method
- displacement method of advance
- dual-rail method
- dummy unit-load method
- dust-spot method
- Dutch cone method
- earth pressure balanced tunneling method
- elastic center method
- elastic weights method
- electric analogy method
- electric resisting method
- energy method
- equal friction method of duct sizing
- equal friction method
- equivalent load method
- erection method
- fast track construction methods
- fatigue test method
- finite difference method
- finite element method
- finite strip method
- flight auger method
- flotation caisson method
- flue loss method
- folded plate method of analysis
- force method
- free cantilever method of construction
- general method of analysis
- Glotzl hydraulic cell method
- Gow method
- Hardy Cross method
- housing appraisal method
- in-duct method
- industrialized methods of construction
- iterative method
- jack method
- jacking method
- lacquer curtain coating method
- laser beam method
- leap-frog method
- limit equilibrium method
- limit state method
- listening methods
- load factor design method
- mandrel method
- mathematical method of design
- matrix method of structural analysis
- maturity method
- measuring method
- mixed-mode method
- mix-in-place method
- modern building methods
- modular ratio method
- moiré fringe method
- moment-balance method
- nondestructive methods of tests
- normal method of quality control
- null method
- numerical method
- one-rail method
- optical square method
- permissible stress method
- phototheodolite method
- plastic methods of structural analysis
- plate count method
- precast concrete manufacturing methods
- pressuremeter method
- proven construction methods
- p-y method of pile design
- rapid test method
- ratio method of balancing
- rebound hammer method
- reference point method
- relaxation method
- reproducible methods
- resistivity method
- resonant-frequency method
- reverberant field method
- Rockwell method of hardness testing
- safe method
- safe working methods
- secant interlocking pile method
- secant pile method
- seismic method of surveying
- seismic reflection method
- seismic refraction method
- semiprobabilistic design method
- shear transfer method
- shock response method of pile testing
- sliding-wedge method
- slope deflection method
- solar radiation method
- sonic method
- special method of quality control
- standard test method
- static regain method of duct sizing
- static regain method
- statistical design method
- step-by-step method
- strength design method
- strength evaluation method
- successive approximations method
- suspended cantilever method
- swamp shooting method
- Tagg method
- tangent modulus method
- test methods
- Theis method
- thixotropic liquid method
- three-point method
- tilt-up method
- time-saving method of construction
- TNO method of analysis
- TNO method of pile testing
- transit and stadia method
- tremie method
- truss analogy method
- turn-of-nut method
- ultrasonic pulse velocity method
- vacuum concrete method of bridge construction
- valveless pulse-jet method
- vane shear method
- velocity reduction method of duct sizing
- velocity reduction method
- vibratory method
- Vickers method of hardness testing
- volume method of measuring aggregates
- warm water method
- water fog spray method
- western bricklaying method
- western method
- working-stress design method -
23 in
1. a расположенный внутри, внутренний2. a направленный вовнутрь3. adv внутри4. adv с внутренней стороны5. v диал. окружать, огораживать6. prep внутрь; вin the daytime — в дневное время, днём
in the days of, in the time of — во времена
in good time — незамедлительно; своевременно; заблаговременно
act in pais — акт, совершённый вне судебного заседания
7. prep др. в, на8. prep (указывает на причину или цель) в, отin answer, in reply — в ответ
in haste — в спешке, второпях
in accordance with — в соответствии с, согласно
books packed in dozens — книги, упакованные по двенадцать штук
in cases — указывает на сферу проявления признака или область действия в, на, по
he is advanced in years — он уже в годах, он уже не молод
9. prep (указывает на количественное соотношение) на, в, изone in ten — каждый десятый, один из десяти
Синонимический ряд:1. stylish (adj.) a la mode; chic; dashing; exclusive; fashionable; modish; posh; sharp; smart; snappy; stylish; swank; swish; tonish; tony; trig; ultrafashionable; with-it2. pull (noun) clout; influence; pull3. during (other) at; during; during the process of; in the act of; meanwhile; occupied with; while; whilst; within the period4. inside of (other) enclosed in; in the midst of; inside of; located in; not out of; pertaining to; surrounded by; within; within the boundaries of -
24 Thing
1. n сканд. ист. тинг2. n вещь; предметto be more interested in things than in human beings — интересоваться вещами больше, чем людьми
generic thing — вещь, определяемая родовыми признаками
3. n атрибутыthings Japanese — всё японское; всё, что имеет отношение к Японии
4. n l5. n имуществоthing incorporeal — нематериальная вещь, имущество, заключающееся в правах
6. n вещи, багаж7. n часто носильные вещи; одежда, предметы одежды8. n еда; питьёsweet things — сладости, сласти
9. n обыкн. разг. принадлежности; утварь; предметы обиходаcooking things — кухонная утварь, кухонные принадлежности
10. n рассказ; анекдот11. n вещь, явление12. n обыкн. обстоятельства, обстановкаtell me how things go ? — расскажите мне, как идут дела?
as things go now — при сложившихся обстоятельствах, при нынешнем положении дел; в сложившейся обстановке
that things should have come to this! — подумать только, до чего дошло дело !
13. n делоI have several things to attend to — мне нужно кое-что сделать; у меня ещё есть дела
he gets things done on — добивается своего, он умеет делать нечто, что-то
he says the first thing that comes into his head — он говорит первое, что взбредёт ему на ум
something must be done to stop this sort of thing — необходимо что-то предпринять, чтобы прекратить такие вещи
neither one thing, nor another — ни то, ни другое
one thing or the other — либо то, либо другое
what with one thing and another — то одно, то другое — хлопот не оберёшься
the important thing to remember — то, что важно запомнить; важно запомнить то …
the best thing is … — самое лучшее …, лучше всего …
to say the right thing — сказать то, что надо
the thing is — дело в том; что
14. n деталь, особенностьthe thing is … — всё дело в том …; суть дела состоит в том …
15. n действие, поступокI did no such thing — я не делал ничего подобного; я и не думал делать этого
square thing — честная сделка; честный поступок
16. n событие17. n существо; созданиеlittle thing — малютка, крошка
18. n разг. в обращении человек19. n сущ. разг. пренебр. в сочетании с предшествующим уродливая вещьin all things — во всех отношениях, во всём
and things — и другое, и тому подобное
sure thing — наверняка, конечно; само собой
near thing — опасное положение;
no such thing — ничего подобного; ничто не может быть дальше от истины
no great things — ничего особенного, так себе; не бог весть что
first thing — прежде всего; первым долгом; перво-наперво
for one thing — прежде всего; начать с того, что; для начала
for another thing — кроме того; во-вторых
of all things — ну и ну!, вот тебе и на!, надо же!, подумать только!
above all things — прежде всего; больше всего, главным образом
as a general thing — обычно, как правило
it is too much of a good thing — хорошенького понемножку; это уж слишком
to know a thing or two — знать кое-что; понимать что к чему
to be up to a thing or two — кое в чём разбираться, кое-что знать
Синонимический ряд:1. action (noun) accomplishment; act; action; deed; doing; feat2. being (noun) being; creature; entity; existence; existent; individual; material; something; stuff; substance3. fashion (noun) bandwagon; chic; craze; cry; dernier cri; fad; fashion; furore; mode; rage; style; ton; trend; vogue4. fetish (noun) fetish; fixation; mania; obsession5. gadget (noun) contraption; contrivance; gadget; jigger6. matter (noun) affair; matter7. object (noun) affair; business; commodity; concern; device; doohickey; fact; manifestation; matter; object; shooting match8. occurrence (noun) circumstance; episode; event; go; happening; incident; occasion; occurrence9. point (noun) article; detail; element; item; particular; point; statement; thought10. things (noun) belongings; effects; goods; possessions; things -
25 minute
I.minute, US [transcription][-"nu ;t"] adj [particle, lettering] minuscule ; [quantity] infime ; [risk, rise, variation] minime ; to describe sth in minute detail décrire qch dans les moindres détails.II.A n1 ( unit of time) minute f ; a few minutes earlier/later quelques minutes avant/après ; five minutes past ten dix heures cinq ; it's five minutes' walk away c'est à cinq minutes à pied ; we arrived at eight o'clock to the minute nous sommes arrivés à huit heures pile ; we arrived without a minute to spare nous sommes arrivés au tout dernier moment ;2 ( short moment) minute f ; just a minute please une minute, s'il vous plaît ; I'll be ready in a minute je serai prêt dans une minute ; she won't be a minute elle sera là dans un instant ; it won't take a minute il y en aura pour un instant ; within minutes the police were there en l'espace de quelques minutes la police était sur les lieux ;3 ( exact instant) the minute I heard the news I telephoned dès que j'ai entendu la nouvelle j'ai téléphoné ; at that very minute à cet instant précis ; they're due to arrive any minute now ils devraient arriver d'une minute à l'autre ; stop talking this minute! arrêtez immédiatement de parler! ; I was just this minute going to phone you j'allais t'appeler à l'instant ; he's at this minute starting his speech il est tout juste en train de commencer son discours ; to arrive at the last minute arriver à la dernière minute ; to leave things to the last minute laisser les choses à la dernière minute ; to put sth off to the last minute repousser qch au dernier moment ; not for one minute did I think she was lying je n'ai pas pensé un seul instant qu'elle mentait ; he's always up to the minute with the news il est toujours au courant des dernières nouvelles ; she's always up to the minute in her clothes elle est toujours à la dernière mode ;2 Admin compte rendu m ; to take the minutes rédiger le compte rendu ; he read the minutes of the last meeting il a lu le compte rendu de la dernière réunion.there's one ou a sucker born every minute ○ ce ne sont pas les gogos ○ qui manquent. -
26 accent
∎ she has or she speaks with a Spanish/Liverpool accent elle a l'accent espagnol/de Liverpool;∎ she speaks French with/without an accent elle parle français avec un/sans accent;∎ he has a strange accent il a un drôle d'accent∎ the accent is on the final syllable l'accent est sur la dernière syllabe∎ the accent here is on team work ici on met l'accent sur le travail d'équipe;∎ fashion with the accent on youth mode qui met l'accent sur la jeunesse(e) (contrasting detail) accent m;∎ the room is painted white with green accents la pièce est peinte en blanc avec des touches de vert(b) (mark with accent) mettre un accent sur, accentuer -
27 minor
minor ['maɪnə(r)](a) (secondary → road, position) secondaire; (→ writer) mineur; (→ importance, interest) secondaire, mineur; (→ share) petit, mineur;∎ to play a minor part or role Cinema & Theatre avoir un petit rôle; figurative jouer un rôle mineur ou accessoire(b) (unimportant → problem, worry) mineur, peu important∎ Medicine to have a minor operation subir une petite intervention chirurgicale ou une intervention chirurgicale bénigne∎ the film is a minor classic le film est un petit chef-d'œuvre;∎ it was a minor miracle that we got there on time ça tient presque du miracle que nous soyons arrivés à l'heure∎ in A minor en la mineur;∎ in a minor key en mode mineur∎ Jones minor Jones junior2 noun∎ the Minors (film companies) = les trois compagnies de production secondaires (par rapport aux "Majors") à Hollywood: Universal, United Artists, Columbia∎ she minored in French elle a pris le français comme matière secondaire►► minor league1 nounfigurative secondaire, de peu d'importance;∎ they're minor league compared with some American corporations ils sont loin d'avoir l'envergure de certaines grandes sociétés américaines;Law minor offence délit m mineur;Religion minor orders ordres mpl mineurs;Astronomy minor planet astéroïde m;minor premise (in logic) (proposition f) mineure f;Music minor seventh septième f mineure;Finance minor shareholder actionnaire mf minoritaire;Cards minor suit couleur f mineure;Music minor third tierce f mineure -
28 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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