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1 полная переработка
Russian-English mining-engineering dictionary > полная переработка
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2 полная переработка
1) Mining: complete refining2) Oil: complete processingУниверсальный русско-английский словарь > полная переработка
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3 confianza
f.1 confidence.tengo confianza en que lo conseguirán I'm confident they'll achieve itconfianza en sí mismo self-confidence2 trust (fe).una marca de toda confianza a very reliable brand3 familiarity.amigo de confianza close o intimate friendtengo mucha confianza con él I am very close to himen confianza in confidencepuedes hablar con toda confianza you can talk quite freelyse toma demasiadas confianzas she's too familiar, she takes too many liberties4 sureness, confidence.5 self-confidence, assurance, confidence, self-assurance.* * *1 (seguridad) confidence2 (fe) trust3 (familiaridad) familiarity, intimacy4 (presunción) conceit\con toda confianza in all confidenceen confianza confidentially, in confidenceestar en confianza to be among friendstener confianza en uno mismo to be self-confidenttener mucha confianza con alguien to be on intimate terms with somebodytomarse (muchas) confianzas to take libertiestratar a alguien con confianza to treat somebody like a friend* * *noun f.1) trust2) confidence* * *SF1) (=credibilidad) confidenceese abogado tuyo no me inspira confianza — that lawyer of yours doesn't exactly fill me with confidence
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de confianza — [producto] reliableuna persona de confianza — (=competente) a reliable person; (=honrada) a trustworthy person
un producto de mi entera confianza — a product I have complete faith o confidence in
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defraudar la confianza de algn — to let sb down•
ganarse la confianza de algn — to win sb's confidence•
dar o conceder un margen de confianza a algn — to place one's trust in sb•
perder la confianza en algo/algn — to lose faith in sth/sb•
poner su confianza en algn — to put o place one's trust in sb•
preso de confianza — trusty•
puesto de confianza — position of responsibility•
recuperar la confianza de o en algo — to regain one's faith o confidence in sthhombre 1., 1), moción 1)•
tener confianza en algn — to have faith o confidence in sb2) (=seguridad) confidence•
dar confianza a algn — to give sb confidence, make sb confidentya no le duele el pie y eso le da más confianza al andar — her foot no longer hurts so she's more confident walking
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infundir confianza a algn — to inspire confidence in sb•
tener confianza en algo — to be confident of sthtener confianza en que... — to be confident that...
necesitas tener más confianza en ti mismo — you need to have more confidence in yourself, you need more self-confidence
3) (=amistad)no te preocupes porque estemos nosotros delante, que hay confianza — don't mind us, we're all friends here
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con confianza, te lo digo con toda confianza — I'm being completely open with you•
de confianza, puedes hablar delante de él, es de confianza — you can speak freely in front of him, he's a friendun amigo de confianza — a close friend, an intimate friend
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en confianza, (dicho sea) en confianza o hablando en confianza, no me fío nada de él — between you and me, I don't trust him at all•
tener confianza con algn — to be on close terms with sbdíselo tú, que tienes más confianza con ella — you tell her, you're closer to her
4) pl confianzas (=libertades)se toma demasiadas confianzas contigo — he takes too many liberties with you, he's a bit too familiar with you
¿qué confianzas son esas? — don't be so familiar!
* * *1) (fe) confidenceél/ella me inspira confianza — I feel I can trust him/her
confianza en alguien/algo — confidence in somebody/something
tengo plena confianza en que... — I'm quite confident that... o I have every confidence that...
había puesto toda mi confianza en él — I had put all my trust o faith in him
de confianza — < persona> trustworthy, reliable; < producto> reliable
2) (amistad, intimidad)tenemos mucha confianza — we are close friends, we know each other very well
3) confianzas femenino plural ( libertades)¿qué confianzas son ésas? — (fam) you've got some nerve! (colloq)
* * *= confidence, trust, reliance on, reliance.Ex. The flush of success with AACR1 gave the code compilers and cataloguers the confidence to criticise the new code with the object of further refining it.Ex. The trust in computer systems rests on their ability to prove that their security mechanisms work as advertised and cannot be disabled.Ex. Any reliance on principles alone is rejected, and an attempt is made to codify experience.Ex. Regardless of whether automation emancipates the library itself from reliance on cataloging data, we recognize our responsibility to meet the needs of libraries that cannot take advantage of the new technology.----* abuso de confianza = betrayal of trust, breach of trust.* amigo de confianza = intimate friend.* con confianza = confidently, with confidence, trustingly, trustfully.* con confianza en uno mismo = self-confident.* confianza del consumidor = consumer confidence.* confianza en la eficacia de uno mismo = self-efficacy.* confianza en uno mismo = self-confidence, assertiveness, self-efficacy, self-belief.* confianza mutua = mutual trust.* contar en confianza = confide.* con toda confianza = feel + free to.* dar a Alguien un margen de confianza = give + Nombre + the benefit of the doubt.* dar un voto de confianza = give + Nombre + some latitude.* decir con toda confianza = say in + full confidence.* decir en confianza = confide.* de confianza = reliable, trusted, trusting, reputable.* depositar confianza = place + trust.* digno de confianza = trustworthy, creditable.* disminución de la confianza = sapping of confidence.* falta de confianza en = disbelief.* fortalecer la confianza = bolster + confidence, boost + Posesivo + confidence.* ganar confianza en uno mismo = gain + confidence (with/in).* ganarse la confianza = earn + trust.* ganarse la confianza de = achieve + credibility with, gain + the confidence of, win + the confidence of.* hombre de confianza = henchman [henchmen, -pl.].* índice de confianza del consumidor = consumer confidence index.* indigno de confianza = untrustworthy.* inspirar confianza = inspire + trust, inspire + confidence, instil + confidence, instil + trust.* intervalo de confianza = confidence interval.* la personificación de la confianza en uno mismo = confidence personified.* margen de confianza = the benefit of the doubt.* mermar + Posesivo + confianza = sap + Posesivo + confidence.* minar la confianza en Uno mismo = undermine + self-confidence.* minar + Posesivo + confianza = undermine + Posesivo + confidence, erode + Posesivo + confidence, sap + Posesivo + confidence.* nivel de confianza = confidence level.* no digno de confianza = untrustworthy.* ocupar un puesto de confianza = be on the inside.* perder confianza = lose + confidence (in).* pérdida de confianza = sapping of confidence.* persona de confianza = good old boy, sounding board.* recibir la confianza (de Alguien) = receive + credibility.* recuperar la confianza = boost + Posesivo + confidence, bolster + confidence.* relación de confianza = trusting relationship.* voto de confianza = vote of confidence, public trust.* * *1) (fe) confidenceél/ella me inspira confianza — I feel I can trust him/her
confianza en alguien/algo — confidence in somebody/something
tengo plena confianza en que... — I'm quite confident that... o I have every confidence that...
había puesto toda mi confianza en él — I had put all my trust o faith in him
de confianza — < persona> trustworthy, reliable; < producto> reliable
2) (amistad, intimidad)tenemos mucha confianza — we are close friends, we know each other very well
3) confianzas femenino plural ( libertades)¿qué confianzas son ésas? — (fam) you've got some nerve! (colloq)
* * *= confidence, trust, reliance on, reliance.Ex: The flush of success with AACR1 gave the code compilers and cataloguers the confidence to criticise the new code with the object of further refining it.
Ex: The trust in computer systems rests on their ability to prove that their security mechanisms work as advertised and cannot be disabled.Ex: Any reliance on principles alone is rejected, and an attempt is made to codify experience.Ex: Regardless of whether automation emancipates the library itself from reliance on cataloging data, we recognize our responsibility to meet the needs of libraries that cannot take advantage of the new technology.* abuso de confianza = betrayal of trust, breach of trust.* amigo de confianza = intimate friend.* con confianza = confidently, with confidence, trustingly, trustfully.* con confianza en uno mismo = self-confident.* confianza del consumidor = consumer confidence.* confianza en la eficacia de uno mismo = self-efficacy.* confianza en uno mismo = self-confidence, assertiveness, self-efficacy, self-belief.* confianza mutua = mutual trust.* contar en confianza = confide.* con toda confianza = feel + free to.* dar a Alguien un margen de confianza = give + Nombre + the benefit of the doubt.* dar un voto de confianza = give + Nombre + some latitude.* decir con toda confianza = say in + full confidence.* decir en confianza = confide.* de confianza = reliable, trusted, trusting, reputable.* depositar confianza = place + trust.* digno de confianza = trustworthy, creditable.* disminución de la confianza = sapping of confidence.* falta de confianza en = disbelief.* fortalecer la confianza = bolster + confidence, boost + Posesivo + confidence.* ganar confianza en uno mismo = gain + confidence (with/in).* ganarse la confianza = earn + trust.* ganarse la confianza de = achieve + credibility with, gain + the confidence of, win + the confidence of.* hombre de confianza = henchman [henchmen, -pl.].* índice de confianza del consumidor = consumer confidence index.* indigno de confianza = untrustworthy.* inspirar confianza = inspire + trust, inspire + confidence, instil + confidence, instil + trust.* intervalo de confianza = confidence interval.* la personificación de la confianza en uno mismo = confidence personified.* margen de confianza = the benefit of the doubt.* mermar + Posesivo + confianza = sap + Posesivo + confidence.* minar la confianza en Uno mismo = undermine + self-confidence.* minar + Posesivo + confianza = undermine + Posesivo + confidence, erode + Posesivo + confidence, sap + Posesivo + confidence.* nivel de confianza = confidence level.* no digno de confianza = untrustworthy.* ocupar un puesto de confianza = be on the inside.* perder confianza = lose + confidence (in).* pérdida de confianza = sapping of confidence.* persona de confianza = good old boy, sounding board.* recibir la confianza (de Alguien) = receive + credibility.* recuperar la confianza = boost + Posesivo + confidence, bolster + confidence.* relación de confianza = trusting relationship.* voto de confianza = vote of confidence, public trust.* * *A (fe) confidenceun médico que me inspira confianza a doctor who I have faith in o who I trust, a doctor who inspires me with confidencesu actitud no despierta confianza her attitude does not inspire confidencelo considero digno de toda confianza he has my complete trustconfianza EN algn/algo confidence IN sb/sthtiene mucha confianza en sí misma she is very self-confident, she is full of confidence, she has plenty of self-confidencetengo plena confianza en que todo saldrá bien I have every confidence o I'm quite confident that it will all turn out wellhabía puesto toda mi confianza en él I had put all my trust o faith in himde confianza ‹persona› trustworthy, reliable, dependable;‹producto› reliableocupa un puesto de confianza en la compañía he has a position of trust within the companyquieren nombrar a alguien de su confianza they want to appoint someone they can trustB(amistad, intimidad): tenemos mucha confianza we are close friends, we know each other very welldíselo tú, yo no tengo tanta confianza con él you tell him, I don't know him as well as you dono les des tanta confianza a los alumnos don't let your pupils be so familiar with you, don't let your pupils take liberties with you like thatnada de ceremonias, estamos en confianza there's no need to stand on ceremony, things are pretty informal herepuedes hablar con franqueza, estamos en confianza you can speak your mind, you're among friendsunas copas nos hicieron entrar en confianza a few drinks helped us relax o set us all at our easees muy tímida y le cuesta entrar en confianza con la gente she is very shy and it takes her a while to open up with o feel confident with o feel at home with peoplete lo digo en confianza, pero no lo repitas I'm telling you in confidence, don't repeat ithablando en confianza, olía muy mal between you and me, it smelt awfulpuedes venir como estás, ellos son de confianza you can come as you are, they're people we know well o they're good friends(libertades): no le des tantas confianzas don't let him be so familiar with you, don't let him take liberties with you like that* * *
confianza sustantivo femenino
lo considero digno de toda confianza he has my complete trust;
confianza en algn/algo confidence in sb/sth;
tiene confianza en sí misma she is self-confident;
había puesto toda mi confianza en él I had put all my trust o faith in him;
de confianza ‹ persona› trustworthy, reliable;
‹ producto› reliable;
‹puesto/posición› of trust;
b) ( intimidad):
no les des tanta(s) confianza(s) don't let them be so familiar with you;
estamos en confianza we're among friends;
te lo digo en confianza I'm telling you in confidence;
tratar a algn con confianza to be friendly with sb
confianza
I sustantivo femenino
1 (fe, seguridad) confidence: tiene mucha confianza en sí mismo, he is very self-confident
2 (trato, intimidad) con María tengo confianza, I'm on very close terms with María
con él no tengo mucha confianza, I don't know him well enough
II confianzas fpl (familiaridad, atrevimiento) liberties: se toma demasiadas confianzas, she takes too many liberties
♦ Locuciones: de confianza, reliable
en confianza, (confidencialmente, con reserva) in confidence
(entre amigos) among friends
' confianza' also found in these entries:
Spanish:
abuso
- confiada
- confiado
- creer
- ganarse
- insegura
- inseguridad
- inseguro
- legal
- licencia
- rezumar
- seguridad
- seria
- serio
- tapado
- fe
- fiar
- ganar
- hombre
- infundir
- inspirar
- libertad
- recobrar
- recuperar
- seguro
- voto
English:
assurance
- authoritative
- belief
- breach
- complete
- confidence
- confidential
- dent
- depend
- diffidence
- erode
- erosion
- faith
- familiar
- implicit
- inside
- intact
- jauntily
- judgement
- judgment
- key
- melt away
- misplaced
- nerve
- ooze
- reliance
- reputable
- right-hand man
- safe
- safely
- sap
- self-assurance
- self-confidence
- self-doubt
- self-reliance
- shatter
- sure
- trust
- trusted
- trustworthy
- unreliable
- untrustworthy
- vote
- boost
- confident
- dependable
- gain
- reliable
- self
* * *confianza nftengo plena confianza en su trabajo I have the utmost confidence in her work;tengo confianza en que lo conseguirán I'm confident they'll achieve it;confianza en uno mismo self-confidence;no me inspira la más mínima confianza I have no confidence o faith in him whatsoever;deposito toda mi confianza en él I'm putting all my faith o trust in him2.[producto, servicio] reliable;de confianza [persona] trustworthy, reliable;uno de sus colaboradores de confianza one of his most trusted associates;una marca de toda confianza a very reliable brand3. [familiaridad] familiarity;amigo de confianza close o intimate friend;en confianza in confidence;te cuento todo esto en confianza I'm telling you all this in confidence;tengo mucha confianza con él I am very close to him;pregúntaselo tú, que tienes más confianza con él you ask him, you're closer to him;una cosa te voy a decir con toda confianza… let me be frank…;puedes hablar con toda confianza you can talk quite freely;entre nosotros hay confianza we're good friends;se toma demasiadas confianzas he's too familiar, he takes too many liberties;Famdonde hay confianza da asco familiarity breeds contempt* * *f1 confidence;confianza en sí mismo self-confidence2 ( amistad):de confianza persona trustworthy;amigo de confianza good friend;en confianza in confidence3:tomarse demasiadas confianzas take liberties* * *confianza nf1) : trustde poca confiaza: untrustworthy2) : confidence, self- confidence* * *1. (fe) trust2. (seguridad) confidence -
4 revisar
v.1 to go over again.2 to check.revíseme los frenos could you check my brakes?me tengo que revisar la vista I have to get my eyes testedle revisaron el equipaje they searched her luggageEllos revisan las maletas They check the luggage.3 to revise.Ellos revisaron el diálogo They revised the dialogue.4 to search. ( Latin American Spanish)5 to proof-read, to edit, to proofread, to rework.Ricardo revisa el libro Richard proof-reads the book.6 to make a revision, to check.Ellos revisaron ayer They made a revision yesterday.7 to examine.El doctor revisa a María The doctor examines Mary* * *1 (gen) to revise, go through, check2 (examen etc) to check, look over3 (cuentas) to check, audit4 (billetes) to inspect5 (coche) to service, overhaul* * *verb1) to check, inspect2) revise* * *VT1) [+ texto] to revise, look over, go through; [+ edición] to revise2) [+ cuenta] to check; (Econ) to audit3) (Jur) to review4) [+ teoría] to reexamine, review5) (Mil) to review6) (Mec) to check, overhaul; (Aut) to service* * *verbo transitivo1) < documento> to go through, look through; <traducción/cuenta> to check, go through2) <criterio/doctrina/edición> to revise3)a) <máquina/instalación/frenos> to checkb) (Esp) < coche> ( hacer revisión periódica) to service4) (AmL) <equipaje/bolsillos> to search, go through* * *= overhaul, review, revise, refine.Ex. It is difficult to overhaul the basic structure of an enumerative scheme without complete revision of sections of the scheme.Ex. There is only space to review briefly the special problems associated with the descriptive cataloguing of nonbook materials.Ex. It is normally taken to indicate that the document has been revised, if a work has progressed to a second or subsequent edition.Ex. The flush of success with AACR1 gave the code compilers and cataloguers the confidence to criticise the new code with the object of further refining it.----* revisar ligeramente = tinker with.* sin revisar = unrevised.* * *verbo transitivo1) < documento> to go through, look through; <traducción/cuenta> to check, go through2) <criterio/doctrina/edición> to revise3)a) <máquina/instalación/frenos> to checkb) (Esp) < coche> ( hacer revisión periódica) to service4) (AmL) <equipaje/bolsillos> to search, go through* * *= overhaul, review, revise, refine.Ex: It is difficult to overhaul the basic structure of an enumerative scheme without complete revision of sections of the scheme.
Ex: There is only space to review briefly the special problems associated with the descriptive cataloguing of nonbook materials.Ex: It is normally taken to indicate that the document has been revised, if a work has progressed to a second or subsequent edition.Ex: The flush of success with AACR1 gave the code compilers and cataloguers the confidence to criticise the new code with the object of further refining it.* revisar ligeramente = tinker with.* sin revisar = unrevised.* * *revisar [A1 ]vtA1 (leer) ‹documento› to go through, look through2 (comprobar) ‹traducción/cuenta› to check, go throughB1 ‹criterio/doctrina› to revise2 ‹edición› to reviseC1 ‹máquina› to check; ‹instalación› to inspect, check; ‹frenos› to checkD ( AmL) ‹equipaje/bolsillos› to search, go throughalguien me estuvo revisando los cajones someone's been going through my drawersE ( AmL)1 ‹paciente› to examine2 ‹dentadura› to checkcada seis meses se hace revisar la dentadura he has a dental checkup o he has his teeth checked every six months* * *
revisar ( conjugate revisar) verbo transitivo
‹traducción/cuenta› to check, go through
‹ coche› ( hacer revisión periódica) (Esp) to service
‹ dentadura› to check;
revisar verbo transitivo
1 Téc to check, overhaul
(un coche) to service
2 (la corrección de algo) to check, revise
3 Mil to review
' revisar' also found in these entries:
Spanish:
checar
- chequear
English:
audit
- check
- comb
- go over
- go through
- look through
- oil
- overhaul
- revise
- rework
- service
- double
- examine
- go
- inspect
- look
- search
- sort
* * *revisar vt1. [repasar] to go over again;revisé el examen antes de entregarlo I went over the exam again before handing it in2. [examinar] to check;Am [pruebas, galeradas] to correct; Am [paciente] to examine;déjame que revise la cuenta del supermercado let me check the supermarket receipt;un auditor vino a revisar las cuentas de la empresa an auditor came to audit the company's accounts;me tengo que revisar la vista I have to get my eyes tested;le revisaron el equipaje they searched her luggage;tengo que llevar el coche a que lo revisen I have to take the car in to have it serviced;revíseme los frenos could you check my brakes?3. [modificar] to revise;han revisado sus previsiones de crecimiento they've revised their growth forecasts;revisar algo al alza/a la baja to revise sth upwards/downwards4. Am [registrar] to search;revisaban a todos antes de subir al avión they searched everyone before they boarded the plane;Fama mí, que me revisen don't look at me!* * *v/t check, inspect* * *revisar vt1) : to examine, to inspect, to check2) : to check over, to overhaul (machinery)3) : to revise* * *revisar vb to check -
5 afinar
v.1 to tune (Music) (instrument).afinar la voz to sing in tuneElsa afina su piano Elsa tunes her piano.2 to fine-tune.afinar la puntería to improve one's aim3 to refine.La refinería afina el aceite The refinery refines the oil.4 to sing in tune.5 to work out, to iron out.Ricardo afinó la propuesta Richard works out the proposal.6 to attune.La privación afina los sentidos Privation attunes the senses7 to enhance.El maquillaje afina la belleza natural Makeup enhances natural beauty.* * *1 to perfect, polish2 MÚSICA to tune3 (puntería) to sharpen4 (metales) to purify, refine* * *verb* * *1. VT1) (Mús) to tune2) (Aut) to tune up3) (=perfeccionar) to put the finishing touch to, complete; (=pulir) to polish; (Téc) to purify, refine; [+ puntería] to sharpen, make more precise2.VI to sing in tune, play in tune3.See:* * *1.verbo transitivo1)a) < instrumento> to tune2) < punta> to sharpen2.afinarse v pron to become thinner* * *= refine, tune, hone, fine tune [fine-tune], tune-up.Ex. The flush of success with AACR1 gave the code compilers and cataloguers the confidence to criticise the new code with the object of further refining it.Ex. Just as delivery must be tuned to suit the kind of material chosen, so must the language used to tell a story.Ex. libraries are moving beyond their traditional job as book repository and branching into electronic networks, while still honing their traditional roles as educators and guides.Ex. These statistics have been used to fine tune the system and improve response time = Se han usado estos resultados estadísticos para ajustar el funcionamiento del sistema y mejorar el tiempo de respuesta.Ex. The author recommends a system architecture approach to data base security which is more likely to bring simplicity, isolatability and flexibility to overall system solutions than will ad hoc attempts to tune-up individual parts.* * *1.verbo transitivo1)a) < instrumento> to tune2) < punta> to sharpen2.afinarse v pron to become thinner* * *= refine, tune, hone, fine tune [fine-tune], tune-up.Ex: The flush of success with AACR1 gave the code compilers and cataloguers the confidence to criticise the new code with the object of further refining it.
Ex: Just as delivery must be tuned to suit the kind of material chosen, so must the language used to tell a story.Ex: libraries are moving beyond their traditional job as book repository and branching into electronic networks, while still honing their traditional roles as educators and guides.Ex: These statistics have been used to fine tune the system and improve response time = Se han usado estos resultados estadísticos para ajustar el funcionamiento del sistema y mejorar el tiempo de respuesta.Ex: The author recommends a system architecture approach to data base security which is more likely to bring simplicity, isolatability and flexibility to overall system solutions than will ad hoc attempts to tune-up individual parts.* * *afinar [A1 ]vtA1 ‹instrumento› to tune2 ‹coche› to tune up; ‹motor› to tune3 ‹concepto/definición› to perfect, refine, honeB ‹punta› to sharpen■ afinarviA1 (cantar, tocar en el tono debido) «cantante» to sing in tune; «músico» to play in tune2 (ajustar el instrumento) to tune upB (estar alerta) to be/keep on one's toes■ afinarseto become thinner* * *
afinar ( conjugate afinar) verbo transitivo
1
‹ motor› to tune
2 ‹ punta› to sharpen
afinar verbo transitivo
1 (la puntería) to sharpen
2 (un instrumento) to tune
' afinar' also found in these entries:
Spanish:
aguzar
- diapasón
- puntería
English:
attune
- tune
- tune up
- hone
* * *♦ vt1. [instrumento] to tune;afinar la voz to sing in tune2. [perfeccionar, mejorar] to fine-tune;afinar la puntería to improve one's aim3. [pulir] to refine♦ vi[cantar] to sing in tune* * *I v/t1 MÚS tune; figfine-tune2 punta sharpenII v/i play in tune* * *afinar vt1) : to perfect, to refine2) : to tune (an instrument)afinar vi: to sing or play in tune* * *afinar vb (instrumento) to tune -
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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