-
1 involve
transitive verb1) (implicate) verwickeln2) (draw in as a participant)involve somebody in a game/fight — jemanden an einem Spiel beteiligen/in eine Schlägerei [mit] hineinziehen
be involved in a project — (employed) an einem Projekt mitarbeiten
get involved with somebody — sich mit jemandem einlassen; (sexually, emotionally) eine Beziehung mit jemandem anfangen
4) (be necessarily accompanied by) mit sich bringen; (require as accompaniment) erfordern; (cause, mean) bedeuten* * *[in'volv]2) ((often with in or with) to cause to take part in or to be mixed up in: He has always been involved in/with the theatre; Don't ask my advice - I don't want to be/get involved.) verwickeln•- academic.ru/39201/involved">involved- involvement* * *in·volve[ɪnˈvɒlv, AM -ˈvɑ:lv]vt1.▪ to \involve sth (include) etw beinhalten; (encompass) etw umfassen; (entail) etw mit sich bringen, etw zur Folge haben; (mean) etw bedeutencriminal law \involves acts which are harmful to society das Strafrecht beschäftigt sich mit Handlungen, die sich gegen die Gesellschaft richtenwhat does the work \involve? worin besteht die Arbeit?the operation \involves putting a tube into the heart während der Operation wird ein Röhrchen ins Herz eingeführt▪ to \involve sb/sth jdn/etw betreffenthat doesn't \involve her sie hat damit nichts zu tunthis incident \involves us all dieser Zwischenfall geht uns alle an [o betrifft uns alle]the person \involved die betreffende Person3. (feature)the accident \involved two cars an dem Unfall waren zwei Fahrzeuge beteiligtthe crime \involved a drug dealing gang an dem Verbrechen war eine Drogenhändlerbande beteiligt4. (bring in)▪ to \involve sb in sth jdn an etw dat beteiligen; (unwillingly) jdn in etw akk verwickeln [o hineinziehen]to \involve sb in a discussion jdn an einer Diskussion beteiligento \involve sb in expense jdm Kosten verursachento get \involved in sth in etw akk verwickelt [o hineingezogen] werdenI don't want to get \involved ich will damit nichts zu tun haben▪ to \involve sb in doing sth:they \involved the staff in designing the packaging sie ließen die Belegschaft am Entwurf der Verpackung mitwirkenyou should \involve the kids more in cooking du solltest die Kinder mehr mitkochen lassen5. (participate)he's become very \involved in the community er engagiert sich sehr in der Gemeindeto \involve oneself in local politics sich akk kommunalpolitisch [o in der Kommunalpolitik] engagieren6. usu passive▪ to be \involved in sth (be busy with) mit etw dat zu tun haben, mit etw dat beschäftigt sein; (be engrossed) von etw dat gefesselt sein7. usu passive▪ to be \involved with sb (have to do with) mit jdm zu tun haben; (relationship) mit jdm eine Beziehung haben; (affair) mit jdm ein Verhältnis haben* * *[ɪn'vɒlv]vt1) (= entangle) verwickeln (sb in sth jdn in etw acc); (= include) beteiligen (sb in sth jdn an etw dat); (= concern) betreffento involve sb in a quarrel — jdn in einen Streit verwickeln or hineinziehen
the book doesn't involve the reader — das Buch fesselt or packt den Leser nicht
it wouldn't involve you at all — du hättest damit gar nichts zu tun
to get involved in sth — in etw (acc) verwickelt werden; in quarrel, crime etc also in etw (acc) hineingezogen werden
to involve oneself in sth — sich in etw (dat) engagieren
I didn't want to get involved — ich wollte damit/mit ihm etc nichts zu tun haben
I didn't want to get too involved — ich wollte mich nicht zu sehr engagieren
a matter of principle is involved — es ist eine Frage des Prinzips, es geht ums Prinzip
we are all involved in the battle against inflation — der Kampf gegen die Inflation geht uns alle an
to be/get involved with sth — etwas mit etw zu tun haben
to be involved with sb — mit jdm zu tun haben; (sexually) mit jdm ein Verhältnis haben
he's very involved with her —
to get involved with sb — mit jdm Kontakt bekommen, sich mit jdm einlassen (pej)
2) (= entail) mit sich bringen, zur Folge haben; (= encompass) umfassen; (= mean) bedeutenwhat does the job involve? —
this problem involves many separate issues to involve considerable expense/a lot of hard work — dieses Problem umfasst viele verschiedene Punkte or schließt viele verschiedene Punkte ein beträchtliche Kosten/viel Arbeit mit sich bringen or zur Folge haben
such a project involves considerable planning — zu so einem Projekt gehört eine umfangreiche Planung
he doesn't understand what's involved in this sort of work — er weiß nicht, worum es bei dieser Arbeit geht
do you realize what's involved in raising a family? — weißt du denn, was es bedeutet, eine Familie großzuziehen?
about £1,000 was involved — es ging dabei um etwa £ 1.000
it would involve moving to Germany — das würde bedeuten, nach Deutschland umzuziehen
finding the oil involved the use of a special drill — um das Öl zu finden, brauchte man einen Spezialbohrer
* * *in in akk):I don’t want to get involved ich will damit nichts zu tun haben;involved in an accident in einen Unfall verwickelt, an einem Unfall beteiligt;involved in debt verschuldet;be completely involved in one’s work von seiner Arbeit völlig in Anspruch genommen seinb) jemanden, etwas angehen, berühren, betreffen:the persons involved die Betroffenen;we are all involved (in this case) es (dieser Fall) geht uns alle an, wir sind alle davon (von diesem Fall) betroffen;feel personally involved sich persönlich betroffen fühlen;the national prestige was involved das nationale Prestige stand auf dem Spiel;a question of principle is involved es geht um eine prinzipielle Fragec) etwas in Mitleidenschaft ziehen:a) zu tun haben mit jemandem, etwas,b) enge Beziehungen haben zu jemandem:get involved with sb mit jemandem engen Kontakt bekommen, pej sich mit jemandem einlassen;involve o.s. in sich einsetzen oder engagieren für3. a) mit sich bringen, zur Folge haben, nach sich ziehenb) verbunden sein mit:the expense involved die damit verbundenen Kostenc) erfordern, nötig machen:taking the job would involve living abroad wenn ich die Stelle annehme, müsste ich im Ausland lebend) umfassen, einschließen4. etwas verwirren, komplizieren:* * *transitive verb1) (implicate) verwickelninvolve somebody in a game/fight — jemanden an einem Spiel beteiligen/in eine Schlägerei [mit] hineinziehen
become or get involved in a fight — in eine Schlägerei verwickelt werden
be involved in a project — (employed) an einem Projekt mitarbeiten
get involved with somebody — sich mit jemandem einlassen; (sexually, emotionally) eine Beziehung mit jemandem anfangen
3) (include) enthalten; (contain implicitly) beinhalten4) (be necessarily accompanied by) mit sich bringen; (require as accompaniment) erfordern; (cause, mean) bedeuten* * *(in, with) v.angehen v.beteiligen (an) v.betreffen v. (to be a matter of) v.gehen um ausdr.sich drehen um ausdr.sich handeln um ausdr. v.bedeuten v.einschließen v.erfordern v.etwas komplizieren ausdr.hineinziehen v.involvieren v.mit sich bringen ausdr.nach sich ziehen ausdr.nötig machen ausdr.umfassen v.verbunden sein mit ausdr.verwickeln v.verwirren v.zum Gegenstand haben ausdr.zur Folge haben ausdr. -
2 consistir
consistir ( conjugate consistir) verbo intransitivoa) ( expresando composición) consistir en algo to consist of sth;b) ( expresando naturaleza):◊ ¿en qué consiste el juego? what does the game involve?;consistir en hacer algo to involve o entail doing sthc) ( radicar) consistir en algo to lie in sth;
consistir verbo intransitivo
1 (radicar) to lie [en, in]: el secreto consiste en no dejar de remover, the secret is not to stop stirring
2 (estar formado) to consist [en, of]: la cena consistió en pollo y embutidos, the dinner consisted of chicken and sausages ' consistir' also found in these entries: Spanish: residir English: consist -
3 mean
mi:n
I adjective1) (not generous (with money etc): He's very mean (with his money / over pay).) mezquino, tacaño, agarrado2) (likely or intending to cause harm or annoyance: It is mean to tell lies.) mezquino, malo3) ((especially American) bad-tempered, vicious or cruel: a mean mood.) malo, malhumorado4) ((of a house etc) of poor quality; humble: a mean dwelling.) humilde, pobre•- meanly- meanness
- meanie
II
1. adjective1) ((of a statistic) having the middle position between two points, quantities etc: the mean value on a graph.)2) (average: the mean annual rainfall.)
2. noun(something that is midway between two opposite ends or extremes: Three is the mean of the series one to five.) término medio
III
1. past tense, past participle - meant; verb1) (to (intend to) express, show or indicate: `Vacation' means `holiday'; What do you mean by (saying/doing) that?) querer decir2) (to intend: I meant to go to the exhibition but forgot; For whom was that letter meant?; He means (= is determined) to be a rich man some day.) tener la intención, tener pensado•- meaning
2. adjective((of a look, glance etc) showing a certain feeling or giving a certain message: The teacher gave the boy a meaning look when he arrived late.) significativo- meaningless
- be meant to
- mean well
mean1 adj1. malo / malicioso / cruel / antipáticodon't be so mean! ¡no seas tan malo!2. mezquino / tacañomean2 vb1. significar / querer decirwhat does "ceiling" mean? ¿qué quiere decir "ceiling"?2. pretender / querer / tener la intencióntr[miːn]1 (average) medio,-a1 (average) promedio2 SMALLMATHEMATICS/SMALL media3 (middle term) término medio————————tr[miːn]1 (miserly, selfish - person) mezquino,-a, tacaño,-a, agarrado,-a; (portion etc) mezquino,-a, miserable■ she felt mean about not letting the children go to the circus le sabía mal no haber dejado a los niños ir al circo3 SMALLAMERICAN ENGLISH/SMALL familiar (person - nasty) malo,-a; (- bad-tempered) malhumorado,-a; (animal) feroz4 dated (low, poor) humilde, pobre5 familiar (skilful, great) excelente, de primera, genial\SMALLIDIOMATIC EXPRESSION/SMALLto be no mean ser todo,-a un,-a————————tr[miːn]1 (signify, represent) significar, querer decir; (to be a sign of, indicate) ser señal de, significar■ what does "mug" mean? ¿qué significa "mug"?, ¿qué quiere decir "mug"?■ does the name "Curtis" mean anything to you? ¿el nombre "Curtis" te dice algo?2 (have in mind) pensar, tener pensado,-a, tener la intención de; (intend, wish) querer, pretender■ I never meant to hurt you nunca quise hacerte daño, nunca fue mi intención hacerte daño■ I meant to post it yesterday tenía la intención de enviarlo ayer, quería enviarlo ayer3 (involve, entail) suponer, implicar; (have as result) significar4 (refer to, intend to say) referirse a, querer decir; (be serious about) decir en serio■ do you mean me? ¿te refieres a mí?■ what do you mean by that? ¿qué quieres decir con eso?■ what do you mean you forgot? ¿cómo que se te olvidó?■ she said thirty, but she meant thirsty dijo treinta, pero quería decir sedienta5 (be important) significar■ you mean a lot to me significas mucho para mí, eres muy importante para mí\SMALLIDIOMATIC EXPRESSION/SMALLto be meant for (be intended for) ser para 2 (be destined for) estar dirigido,-a a, ir dirigido,-a a■ it was meant to happen tenía que pasar, el destino así lo quisoto mean well tener buenas intenciones1) intend: querer, pensar, tener la intención deI didn't mean to do it: lo hice sin quererwhat do you mean to do?: ¿qué piensas hacer?2) signify: querer decir, significarwhat does that mean?: ¿qué quiere decir eso?3) : importarhealth means everything: lo que más importa es la saludmean adj1) humble: humilde2) negligible: despreciableit's no mean feat: no es poca cosa3) stingy: mezquino, tacaño4) cruel: malo, cruelto be mean to someone: tratar mal a alguien5) average, median: mediomean n1) midpoint: término m medio2) average: promedio m, media f aritmética3) means nplway: medio m, manera f, vía f4) means nplresources: medios mpl, recursos mpl5)by all means : por supuesto, cómo no6)by means of : por medio de7)by no means : de ninguna manera, de ningún modoadj.• abellacado, -a adj.• canallesco, -a adj.• malo, -a adj.• mediano, -a adj.• medio, -a adj.• menguado, -a adj.• mezquino, -a adj.• miserable adj.• prieto, -a adj.• ruin adj.• transido, -a adj.n.• manera s.f.• media (Matemática) s.f.• medio s.m.• promedio s.m.• término medio s.m.v.(§ p.,p.p.: meant) = destinar v.• entender v.• querer decir v.• significar v.
I miːntransitive verb (past & past p meant)1) (represent, signify) \<\<word/symbol\>\> significar*, querer* decirto mean something TO somebody: does the number 0296 mean anything to you? ¿el número 0296 te dice algo?; fame means nothing/a lot to her — la fama la tiene sin cuidado/es muy importante para ella
2)a) (refer to, intend to say) \<\<person\>\> querer* decirwhat do you mean? — ¿qué quieres decir (con eso)?
do you know what I mean? — ¿me entiendes?, ¿me comprendes?
he's Swedish, I mean, Swiss — es sueco, (qué) digo, suizo
I know who you mean — ya sé de quién hablas or a quién te refieres
what's that supposed to mean? — ¿a qué viene eso?
b) ( be serious about) decir* en serioI mean it! — va or lo digo en serio!
3) (equal, entail) significar*being 40 doesn't mean I can't wear fashionable clothes — (el) que tenga 40 años no quiere decir que no me pueda vestir a la moda
to mean -ING: that would mean repainting the kitchen — eso supondría or implicaría volver a pintar la cocina
4)a) ( intend)he didn't mean (you) any harm — no quiso hacerte daño, no lo hizo por mal
to mean to + INF: I mean to succeed mi intención es triunfar, me propongo triunfar; I'm sorry, I didn't mean to do it perdón, lo hice sin querer; I meant to do it but I forgot tenía toda la intención de hacerlo pero me olvidé; I've been meaning to talk to you hace tiempo que quiero hablar contigo; I meant it to be a surprise yo quería que fuera una sorpresa; the bullet was meant for me la bala iba dirigida a mí; we were meant for each other — estamos hechos el uno para el otro
b)to be meant to + inf — (supposed, intended)
you weren't meant to hear that — no pensaron (or pensé etc) que tú estarías escuchando
II
2)a) (unkind, nasty) malob) ( excellent) (esp AmE sl) genial, fantástico3) (inferior, humble) (liter) humildethat's no mean feat/achievement — no es poca cosa, no es moco de pavo (fam)
4) ( Math) (before n) medio
III
IV
adverb (AmE colloq & dial)
I
[miːn]ADJ (compar meaner) (superl meanest)1) (=stingy) tacaño, agarrado *, amarrete (And, S. Cone) *you mean thing! — ¡qué tacaño eres!
2) (=nasty) malodon't be mean! — ¡no seas malo!
you mean thing! — ¡qué malo eres!
a mean trick — una jugarreta, una mala pasada
you were mean to me — te portaste fatal or muy mal conmigo
3) (=vicious) malo4) (=of poor quality) inferior; (=shabby) humilde, vil; (=humble) [birth] humilde, pobre5) (US) formidable, de primera
II [miːn]1.N (=middle term) término m medio; (=average) promedio m ; (Math) media fthe golden or happy mean — el justo medio
2.ADJ mediomean life — (Phys) vida f media
III
[miːn](pt, pp meant) VT1) [word, sign] (=signify) significar, querer decirwhat does this word mean? — ¿qué significa or quiere decir esta palabra?
"vest" means something different in America — en América "vest" tiene otro significado or significa otra cosa
you know what it means to hit a policeman? — ¿usted sabe qué consecuencias trae el golpear a un policía?
•
what do you mean by that? — ¿qué quieres decir con eso?•
it means a lot to have you with us — significa mucho tenerte con nosotrosyour friendship means a lot to me — tu amistad es muy importante or significa mucho para mí
•
the name means nothing to me — el nombre no me suenaknow 1., 4)•
the play didn't mean a thing to me — no saqué nada en claro de la obra2) [person]a) (=imply) querer decir; (=refer to) referirse awhat do you mean? — ¿qué quieres decir?
18, I mean 19 — 18, digo 19
do you mean me? — ¿te refieres a mí?
b) (=signify) significar•
don't I mean anything to you? — ¿no significo yo nada para ti?c) (=be determined about)you can't mean it! — ¡no lo dirás en serio!
d) (=intend)what do you mean to do? — ¿qué piensas hacer?
I meant to help — pensaba ayudar, tenía la intención de ayudar
I mean to have it — pienso or me propongo obtenerlo
sorry, I didn't mean you to do it — lo siento, mi intención no era que lo hicieras tú
•
I meant it as a joke — lo dije en broma•
was the remark meant for me? — ¿el comentario iba por mí?•
I meant no harm by what I said — no lo dije con mala intención3) (=suppose) suponer•
to be meant to do sth, it's meant to be a good car — este coche se supone que es buenothis portrait is meant to be Anne — este retrato es de Anne, aunque no lo parezca
I wasn't meant to work for my living! — ¡yo no estoy hecho para trabajar!
you're not meant to drink it! — ¡no es para beber!
* * *
I [miːn]transitive verb (past & past p meant)1) (represent, signify) \<\<word/symbol\>\> significar*, querer* decirto mean something TO somebody: does the number 0296 mean anything to you? ¿el número 0296 te dice algo?; fame means nothing/a lot to her — la fama la tiene sin cuidado/es muy importante para ella
2)a) (refer to, intend to say) \<\<person\>\> querer* decirwhat do you mean? — ¿qué quieres decir (con eso)?
do you know what I mean? — ¿me entiendes?, ¿me comprendes?
he's Swedish, I mean, Swiss — es sueco, (qué) digo, suizo
I know who you mean — ya sé de quién hablas or a quién te refieres
what's that supposed to mean? — ¿a qué viene eso?
b) ( be serious about) decir* en serioI mean it! — va or lo digo en serio!
3) (equal, entail) significar*being 40 doesn't mean I can't wear fashionable clothes — (el) que tenga 40 años no quiere decir que no me pueda vestir a la moda
to mean -ING: that would mean repainting the kitchen — eso supondría or implicaría volver a pintar la cocina
4)a) ( intend)he didn't mean (you) any harm — no quiso hacerte daño, no lo hizo por mal
to mean to + INF: I mean to succeed mi intención es triunfar, me propongo triunfar; I'm sorry, I didn't mean to do it perdón, lo hice sin querer; I meant to do it but I forgot tenía toda la intención de hacerlo pero me olvidé; I've been meaning to talk to you hace tiempo que quiero hablar contigo; I meant it to be a surprise yo quería que fuera una sorpresa; the bullet was meant for me la bala iba dirigida a mí; we were meant for each other — estamos hechos el uno para el otro
b)to be meant to + inf — (supposed, intended)
you weren't meant to hear that — no pensaron (or pensé etc) que tú estarías escuchando
II
2)a) (unkind, nasty) malob) ( excellent) (esp AmE sl) genial, fantástico3) (inferior, humble) (liter) humildethat's no mean feat/achievement — no es poca cosa, no es moco de pavo (fam)
4) ( Math) (before n) medio
III
IV
adverb (AmE colloq & dial) -
4 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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