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1 Technical Machine Jargon
Programming: TMJУниверсальный русско-английский словарь > Technical Machine Jargon
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2 TMJ
1) Медицина: височно-нижнечелюстной сустав (ВНЧС) (temporo-mandibular joint)2) Военный термин: Totally Metal Jacketed3) Физиология: TEMPORO MANDIBULAR JOINT, Temporomandibular joint4) Литература: ToastMasters Journal5) Деловая лексика: Tedious Middleman Jargon6) Программирование: Technical Machine Jargon7) Имена и фамилии: Todd Michael Johnson8) Аэропорты: Termez, Uzbekistan9) Зубная имплантология: ВНЧС, височно-нижнечелюстной сустав -
3 linguaggio
m (pl -ggi) languagelinguaggio tecnico technical language, jargoninformation technology linguaggio di programmazione programming language* * *linguaggio s.m. language; (eloquio) speech: linguaggio colorito, racy speech; il linguaggio dei sordomuti, sign language; il linguaggio della musica, the language of music; linguaggio infantile, babyish (o childish) language; linguaggio familiare, familiar language; linguaggio raffinato, volgare, refined, vulgar language; linguaggio fiorito, flowery language; linguaggio tecnico, technical language; linguaggio violento, strong language; linguaggio sportivo, burocratico, the language of sport, bureaucracy; usa un linguaggio triviale, he uses coarse language (o his language is coarse); correttezza di linguaggio, correctness of speech; natura, origine del linguaggio, nature, origin of language; anche gli animali hanno un linguaggio, animals have a language too // che linguaggio!, that's no way to talk! // (inform.): linguaggio assemblatore, assembly language; linguaggio macchina, computer (o machine) language; linguaggio di definizione di dati, data definition language; linguaggio di programmazione, programming language; sottoinsieme di un linguaggio, language subset; linguaggio per l'elaborazione, problem oriented language.* * *1) (lingua) languagenel linguaggio corrente — in common parlance, in everyday speech
scusate il linguaggio — pardon my French colloq.
2) (facoltà di parola) speech•linguaggio cifrato — code, cipher
linguaggio macchina — inform. machine language
linguaggio di programmazione — inform. programming BE o programing AE language, computer language
linguaggio settoriale — jargon, parlance
* * *linguaggiopl. -gi /lin'gwaddʒo, dʒi/sostantivo m.1 (lingua) language; linguaggio della pubblicità adspeak; linguaggio della malavita thieves' cant; nel linguaggio corrente in common parlance, in everyday speech; scusate il linguaggio pardon my French colloq.2 (facoltà di parola) speech; disturbo del linguaggio speech disorderlinguaggio artificiale artificial language; linguaggio cifrato code, cipher; linguaggio del corpo body language; linguaggio giuridico legal parlance; linguaggio giornalistico journalistic parlance; linguaggio infantile baby talk; linguaggio macchina inform. machine language; linguaggio naturale natural language; linguaggio di programmazione inform. programming BE o programing AE language, computer language; linguaggio dei segni sign language; linguaggio settoriale jargon, parlance. -
4 aclarar
v.1 to rinse (enjuagar). (peninsular Spanish)María aclaró su cabello Mary rinsed her hair.2 to clarify, to explain.aclaremos una cosa let's get one thing clearMaría aclarará los puntos mañMaría Mary will clarify the points tomorrow.3 to make lighter (color).el sol aclara el pelo the sun makes one's hair lighter4 to thin (down) (lo espeso) (chocolate, sopa).Pedro aclara la mezcla para pastel Peter thins the cake mixture.5 to become clear, to become brighter, to brighten, to clear.Aclarará dentro de un rato It will become clear in a while.6 to filter.Mario aclara el destilado Mario filters the distilled liquid.7 to make it clear for, to explain, to make clear for.* * *1 (cabello, color) to lighten, make lighter2 (líquido) to thin (down)3 (enjuagar) to rinse4 (explicar) to explain; (poner en claro) to make clear, clarify■ las zanahorias aclaran la vista carrots improve your eyesight, carrots are good for your eyes1 (mejorar el tiempo) to clear (up)■ hay una tormenta horrible y no parece que vaya a aclarar there's a heavy storm and it doesn't look as if it's going to clear up1 (entender) to understand2 (explicarse) to explain oneself3 (decidirse) to make up one's mind4 (Used only in the 3rd person; it does not take a subject) (el tiempo) to clear (up)\aclarar la voz to clear one's throat* * *verb1) to clarify, explain2) lighten3) rinse•* * *1. VT1) (=explicar) [+ suceso, motivo] to clarify; [+ duda, malentendido] to clear up; [+ misterio] to solveestán tratando de aclarar las circunstancias de su muerte — they are trying to clarify the circumstances surrounding her death
no pudo aclararnos el motivo de su comportamiento — she couldn't explain the reasons for her behaviour
me lo explicó dos veces pero no consiguió aclarármelo — she explained it to me twice but couldn't manage to make it clear
2) Esp [+ ropa, vajilla, pelo] to rinse3) (=diluir) [+ pintura, salsa] to thin, thin down4) (=hacer más claro) [+ color, pelo] to make lighter, lighten5) [+ bosque] to clear2. VI1) (=amanecer) to get light2) (=despejarse las nubes) to clear upen cuanto aclare, saldremos — as soon as it clears up, we'll go out
3) Esp (=enjuagar) to rinse3.See:* * *1.verbo impersonala) ( amanecer)cuando nos levantamos estaba aclarando — dawn o day was breaking when we got up
b) ( escampar) to clear up2.aclarar vib) tiempo/día ( escampar) to clear up3.aclarar vt1) ( quitar color a) to lighten3)a) < salsa> to thinb) <vegetación/bosque> to clear4) (Esp) <ropa/vajilla> to rinse4.aclararse v pron1)2) (Esp fam)a) ( entender) to understanda ver si nos aclaramos — let's see if we can sort things out o get things straight
b) ( decidirse) to make up one's mind* * *= clarify, elucidate, qualify, rinse, sort out, shed + light (on/upon), throw + light on, make + the point that, spell out, explicate, make + explicit, clear up, shed + understanding, cast + light on, bring + clarity (to), get to + the bottom of, unravel, get to + the root of, rinse off.Ex. The examples above should serve also to clarify the relationship between the authority entry and the reference entry.Ex. An abstract may also serve to elucidate an unclear title.Ex. Common facets may be listed anywhere in the schedule order, because they are facets that, although only listed once can be applied anywhere in the citation order, as required to qualify the concept to which they apply.Ex. After treatment with NM2P a drawing is rinsed several times with acetone.Ex. It is true that assignments were being heaped upon him with immense rapidity, but he would be able to sort them out and contrive solutions.Ex. This article aims to cover tools that shed light on what the stakes might be in getting involved with CD-ROM technology = Este artículo intenta analizar las herramientas que nos aclaren cuáles podrían ser los riesgos de involucrarse con la tecnología del CD-ROM.Ex. It may be that a study of such associations might throw further light on the kinds of relationship we need to cater for in our index vocabularies.Ex. However, they do make the very important point that the notation is not an essential part of the scheme.Ex. Certain obligations of public and university libraries and publicly supported library networks often are also spelled out in statutory form.Ex. Sometime around the turn of the century the American library community decided against continuing its analysis of the periodical literature that we find so well explicated in the printed catalogs of Enoch Pratt and other major libraries at that time.Ex. The author stresses the need to distinguish between fact and opinion and to make explicit all sorts of assumptions and vaguenesses that tend to cloud the view.Ex. What they will not do is clear up the foggy area in most cataloguers' minds, the area that leads to an inconsistent application of half-understood principles'.Ex. The author aims to shed a little understanding on the general nature of archives in order to expose certain misconceptions.Ex. The results cast light on the changing nature of information handling in the new environment.Ex. A woman suspected to have lost her virginity is made to undergo a series of medical examinations to bring clarity to her situation.Ex. He does not always get to the bottom of the questions raised in this ambitious study.Ex. Patents abstracting is a special skill, involving not only a technical knowledge, but also a facility for unravelling the special legalistic jargon in which patents abound.Ex. One of them snipped Ben Kline's life short, and Marla's determined to get to the root of a case that's anything but cut and dried.Ex. The only thing that rinsing off baby carrots will do is remove any dirt that might be on the surface -- it won't wash away any bacteria.----* aclarar el pelo = lighten + Posesivo + hair.* aclarar el sentido = clarify + meaning.* aclarar las cosas = set + the record straight.* aclarar las ideas de Uno = clarify + Posesivo + mind.* aclarar lo que sucedió = get + Posesivo + story straight, get + Posesivo + story right.* aclarar los detalles = work out + details.* aclarar lo sucedido = get + Posesivo + story straight, get + Posesivo + story right.* aclararse = become + apparent, get + Posesivo + story straight, get + Posesivo + story right, fall into + place.* aclarar una confusión = unravel + snarl.* aclarar una cuestión = clarify + matter, clarify + issue.* aclarar un asunto = clarify + matter.* aclarar un concepto = clarify + idea, clarify + concept.* aclarar un malentendido = clear up + misunderstanding.* aclarar un misterio = unravel + mystery.* aclarar un objetivo = clarify + objective.* aclarar un problema = clear up + problem.* aclarar un punto = clarify + point.* tiempo + aclararse = weather + clear.* * *1.verbo impersonala) ( amanecer)cuando nos levantamos estaba aclarando — dawn o day was breaking when we got up
b) ( escampar) to clear up2.aclarar vib) tiempo/día ( escampar) to clear up3.aclarar vt1) ( quitar color a) to lighten3)a) < salsa> to thinb) <vegetación/bosque> to clear4) (Esp) <ropa/vajilla> to rinse4.aclararse v pron1)2) (Esp fam)a) ( entender) to understanda ver si nos aclaramos — let's see if we can sort things out o get things straight
b) ( decidirse) to make up one's mind* * *= clarify, elucidate, qualify, rinse, sort out, shed + light (on/upon), throw + light on, make + the point that, spell out, explicate, make + explicit, clear up, shed + understanding, cast + light on, bring + clarity (to), get to + the bottom of, unravel, get to + the root of, rinse off.Ex: The examples above should serve also to clarify the relationship between the authority entry and the reference entry.
Ex: An abstract may also serve to elucidate an unclear title.Ex: Common facets may be listed anywhere in the schedule order, because they are facets that, although only listed once can be applied anywhere in the citation order, as required to qualify the concept to which they apply.Ex: After treatment with NM2P a drawing is rinsed several times with acetone.Ex: It is true that assignments were being heaped upon him with immense rapidity, but he would be able to sort them out and contrive solutions.Ex: This article aims to cover tools that shed light on what the stakes might be in getting involved with CD-ROM technology = Este artículo intenta analizar las herramientas que nos aclaren cuáles podrían ser los riesgos de involucrarse con la tecnología del CD-ROM.Ex: It may be that a study of such associations might throw further light on the kinds of relationship we need to cater for in our index vocabularies.Ex: However, they do make the very important point that the notation is not an essential part of the scheme.Ex: Certain obligations of public and university libraries and publicly supported library networks often are also spelled out in statutory form.Ex: Sometime around the turn of the century the American library community decided against continuing its analysis of the periodical literature that we find so well explicated in the printed catalogs of Enoch Pratt and other major libraries at that time.Ex: The author stresses the need to distinguish between fact and opinion and to make explicit all sorts of assumptions and vaguenesses that tend to cloud the view.Ex: What they will not do is clear up the foggy area in most cataloguers' minds, the area that leads to an inconsistent application of half-understood principles'.Ex: The author aims to shed a little understanding on the general nature of archives in order to expose certain misconceptions.Ex: The results cast light on the changing nature of information handling in the new environment.Ex: A woman suspected to have lost her virginity is made to undergo a series of medical examinations to bring clarity to her situation.Ex: He does not always get to the bottom of the questions raised in this ambitious study.Ex: Patents abstracting is a special skill, involving not only a technical knowledge, but also a facility for unravelling the special legalistic jargon in which patents abound.Ex: One of them snipped Ben Kline's life short, and Marla's determined to get to the root of a case that's anything but cut and dried.Ex: The only thing that rinsing off baby carrots will do is remove any dirt that might be on the surface -- it won't wash away any bacteria.* aclarar el pelo = lighten + Posesivo + hair.* aclarar el sentido = clarify + meaning.* aclarar las cosas = set + the record straight.* aclarar las ideas de Uno = clarify + Posesivo + mind.* aclarar lo que sucedió = get + Posesivo + story straight, get + Posesivo + story right.* aclarar los detalles = work out + details.* aclarar lo sucedido = get + Posesivo + story straight, get + Posesivo + story right.* aclararse = become + apparent, get + Posesivo + story straight, get + Posesivo + story right, fall into + place.* aclarar una confusión = unravel + snarl.* aclarar una cuestión = clarify + matter, clarify + issue.* aclarar un asunto = clarify + matter.* aclarar un concepto = clarify + idea, clarify + concept.* aclarar un malentendido = clear up + misunderstanding.* aclarar un misterio = unravel + mystery.* aclarar un objetivo = clarify + objective.* aclarar un problema = clear up + problem.* aclarar un punto = clarify + point.* tiempo + aclararse = weather + clear.* * *aclarar [A1 ]1(amanecer): cuando nos levantamos estaba aclarando dawn o day was breaking when we got up, it was starting to get light when we got up2 (escampar) to clear upsi aclara, podemos salir if the weather o if it clears up, we can go outvi1 «día» (empezar) to break, dawn2 «día/tiempo» (escampar) to clear up■ aclararvtA ‹color› to lightenB1 ‹duda/problema› to clarifyintentaré aclarárselo I'll try to clarify it for you, I'll try to explain it to youme aclaró varias dudas que tenía she clarified several points I wasn't sure of, she cleared up several queries I hadno pudo aclararme nada sobre el tema she couldn't throw any light on the subjectquiero aclarar que yo no sabía nada sobre el asunto I want to make it clear that I didn't know anything about the matterC1 ‹salsa› to thin2 ‹vegetación/bosque› to clearD ( Esp) (enjuagar) ‹ropa/vajilla› to rinse; ‹pelo› to rinse1 ‹pelo› to lightense aclaraba el pelo she lightened her hair2aclararse la voz to clear one's throat3( Esp fam) «persona»: explícamelo otra vez, sigo sin aclararme explain it to me again, I still haven't got it straight o I still don't understandcomparemos las listas, a ver si nos aclaramos let's compare the lists and see if we can sort things out o get things straightno me aclaro con esta máquina I can't work out how to use this machine, I can't get the hang of this machine ( colloq)lleva una borrachera que no se aclara he's so drunk he doesn't know what's going ontengo un sueño que no me aclaro I'm so tired I can't think straightunos días de descanso para aclararme las ideas a few days' rest to get my ideas straight* * *
aclarar ( conjugate aclarar) v impersa) ( amanecer):
cuando nos levantamos estaba aclarando dawn o day was breaking when we got up
verbo intransitivo
verbo transitivo
1 ( quitar color a) to lighten
2 ‹ ideas› to get … straight;
‹ duda› to clear up, clarify;◊ quiero aclarar que … I want to make it clear that …
3 (Esp) ‹ropa/vajilla› to rinse
aclararse verbo pronominal
1
2 (Esp fam) ( entender) to understand;◊ a ver si nos aclaramos let's see if we can sort things out o get things straight
aclarar
I verbo transitivo
1 (hacer comprensible) to clarify, explain: deberían aclarar las cosas entre ellos, they should clear things up among themselves
2 (suavizar color) to lighten, make lighter
3 (quitar el jabón) to rinse
II v impers Meteor to clear (up)
' aclarar' also found in these entries:
Spanish:
despejar
- determinar
- judicialmente
- ir
English:
air
- bleach
- clarify
- clear
- clear up
- elucidate
- explain
- illuminate
- inquest
- lighten
- meaning
- rinse
- straight
- straighten out
- talk over
- sort
- straighten
- thin
* * *♦ vt2. [explicar] to clarify, to explain;aclaremos una cosa let's get one thing clear;eso lo aclara todo that explains everything;¿me podría aclarar ese último punto? could you clarify o explain that last point for me?3. [color] to make lighter;el sol aclara el pelo the sun makes your hair lighter4. [lo espeso] [chocolate, sopa] to thin (down);[bosque] to thin out;aclaró la pintura con un poco de aguarrás she thinned the paint with a little turpentine♦ v impersonalya aclaraba [amanecía] it was getting light;[se despejaba] the sky was clearing;la tarde se fue aclarando it brightened up during the afternoon* * *I v/tII v/i1 de día break, dawn2 de tiempo clear up* * *aclarar vt1) clarificar: to clarify, to explain, to resolve2) : to lighten3)aclarar la voz : to clear one's throataclarar vi1) : to get light, to dawn2) : to clear up* * *aclarar vb2. (dudas) to clear up3. (color) to lighten4. (enjuagar) to rinse5. (mejorar el tiempo) to clear up -
5 langage
c black langage [lɑ̃gaʒ]masculine noun━━━━━━━━━━━━━━━━━✎ Le mot anglais s'écrit avec un u après le premier g.* * *lɑ̃gaʒnom masculin languagePhrasal Verbs:* * *lɑ̃ɡaʒ nm1) LINGUISTIQUE language2) INFORMATIQUE language* * *langage nm language; le langage des abeilles/fleurs the language of bees/flowers; elle m'a tenu un tout autre langage she said something completely different to me; faire entendre le langage de la raison to speak with the voice of reason.langage administratif bureaucratic language, official jargon; langage d'assemblage assembler language, assembly language; langage chiffré code; langage journalistique journalese; langage machine machine language (code); langage objet object language; langage procédural Ordinat procedural language; langage de programmation programmingGB language; langage des sourds-muets sign language.[lɑ̃gaʒ] nom masculinlangage écrit/parlé written/spoken languagetroubles du langage speech ou language disorders2. [code] languagele langage des sourds-muets deaf and dumb language, sign language3. [jargon] languagelangage administratif/technique administrative/technical language4. [style] languagelangage familier/populaire colloquial/popular languagelangage correct/incorrect [d'après la bienséance] polite/impolite languagelangage imagé colourful ou picturesque languagetu tiens un drôle de langage depuis quelque temps you've been coming out with ou saying some very odd things recentlylangage machine internal ou machine language -
6 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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7 TMI
1) Компьютерная техника: To Much Information, Transition Migration And Implementation, Trigger To Midi Interface2) Американизм: Tedious Middleman Jargon3) Военный термин: technical manual index4) Юридический термин: Top My Injustice5) Сокращение: Three Meaningless Initials6) Университет: Technology Mediated Instruction7) Литература: ToastMasters International8) Фирменный знак: Trace Minerals Inc, Tyre Mall International9) Деловая лексика: Tactics Marketing Intelligence10) Образование: Trainable Mentally Impaired11) Автоматика: The Machinability Institute12) Химическое оружие: Three Mile Island13) Нефть и газ: compensating temperature input14) Фантастика Tin Machine I15) AMEX. Team, Inc. -
8 tmi
1) Компьютерная техника: To Much Information, Transition Migration And Implementation, Trigger To Midi Interface2) Американизм: Tedious Middleman Jargon3) Военный термин: technical manual index4) Юридический термин: Top My Injustice5) Сокращение: Three Meaningless Initials6) Университет: Technology Mediated Instruction7) Литература: ToastMasters International8) Фирменный знак: Trace Minerals Inc, Tyre Mall International9) Деловая лексика: Tactics Marketing Intelligence10) Образование: Trainable Mentally Impaired11) Автоматика: The Machinability Institute12) Химическое оружие: Three Mile Island13) Нефть и газ: compensating temperature input14) Фантастика Tin Machine I15) AMEX. Team, Inc.
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