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1 máquina
f.1 machine, engine, piece of machinery.2 railway engine.3 car.* * *1 (gen) machine2 (de un tren) engine3 figurado machinery4 (expendedora) vending machine\a toda máquina at full blastcoser a máquina to use a sewing machine, sew on a sewing machineescribir a máquina to type, typewritemáquina de afeitar shaver, electric razormáquina de coser sewing machinemáquina de escribir typewritermáquina de fotos / máquina fotográfica cameramáquina de lavar washing machinemáquina de tabaco cigarette machinemáquina de tricotar knitting machinemáquina de vapor steam enginemáquina tragaperras slot machine* * *noun f.1) machine2) engine* * *SF1) (=aparato) [gen] machine•
escribir a máquina — to type•
escrito a máquina — typed, typewritten•
hecho a máquina — machine-made•
pasar algo a máquina — to type sth (up)máquina copiadora — copier, copying machine
máquina cosechadora — combine harvester, combine
máquina de afeitar — razor, safety razor
máquina de afeitar eléctrica — electric razor, shaver
máquina de bolas — * pinball machine
máquina de tabaco — * cigarette machine
máquina de tejer, máquina de tricotar — knitting machine
máquina excavadora — mechanical digger, steam shovel (EEUU)
máquina quitanieves — snowplough, snowplow (EEUU)
máquina registradora — LAm cash register
máquina tragaperras — fruit machine, one-armed bandit; (Com) vending machine
2) (Transportes) [de tren] engine, locomotive; (=moto) * motorbike; CAm, Cuba (=coche) car; (=taxi) taxi3) (Fot) camera4) (Pol) machine5) (=maquinaria) machinery, workings pl ; (=plan) scheme of things* * *1)a) ( aparato) machine¿se puede lavar a máquina? — can it be machine-washed?
¿me pasas esto a máquina? — would you type this (up) for me?
b) (Jueg) fruit machine; (Fot) camerac) ( de café) coffee machine2)a) (Náut) enginea toda máquina — at top speed, flat out (colloq)
b) (Ferr) engine, locomotivec) (Ven fam) ( auto) car3) ( organización) machine* * *= machine.Ex. Synonyms, related terms and other variants must now be collected, either by human selection, or with the aid of the machine.----* acabado a máquina = machine-finished.* aprendizaje de la máquina = machine learning (ML).* a toda máquina = in the fast lane, fast lane, full steam ahead, at full tilt, full-tilt, full-throttle, at full throttle, at top speed, at full blast, at full speed.* avanzar a toda máquina = steam ahead, go + full steam ahead.* borrador escrito a máquina = typewritten draft.* Catalogación Legible por Máquina (MARC) = MARC (Machine Readable Cataloguing).* datos legibles por máquina = machine-readable data.* de escritura a máquina = typing.* de la máquina y el hombre = human-machine.* documento legible por máquina = machine readable document.* encargado de la máquina de imprimir = machine-minder.* en la dirección de la máquina = machine-direction.* entre la máquina y el hombre = human-machine.* escribir a máquina = type.* escrito a máquina = typewritten.* escritura a máquina = typewriting.* formato legible por máquina = machine-readable form, machine readable format, machine scannable format.* hecho a máquina = machine-made.* joven ayudante del encargado de la máquina de imprimir = machine boy.* legible por máquina = machine-readable.* máquina continua de papel = paper-making machine.* máquina de afeitar = shaver, electrical razor, electric shaver.* máquina de alzar = gathering machine.* máquina de andar o correr estática = treadmill.* máquina de cepillar = planing machine.* máquina de componer en caliente = hot-metal composing machine, hot-metal machine.* maquina de componer en frío = cold-metal machine, cold-metal composing machine.* máquina de cortar en rebanadas = slicer.* máquina de coser = sewing machine.* máquina de coser libros = book-sewing machine.* máquina de cotejar = collating machine.* máquina de discos = jukebox.* máquina de encartonar = casing-in machine.* máquina de escribir = typewriter.* máquina de escribir de margarita = daisy-wheel typewriter.* máquina de escribir de pelota de golf = golf-ball typewriter.* máquina de escribir eléctrica = electric typewriter, electronic typewriter.* máquina de escribir libros = book-writing machine.* máquina de estampar en relieve = embossing machine.* máquina de estampar tela en relieve = cloth-embossing machine.* máquina de fábrica = manufacturing equipment.* máquina de fabricación = manufacturing equipment.* máquina de fabricar tapas = casemaking machine.* máquina de fax = fax machine.* máquina de franquear = franking machine.* maquina de grapar libros = book-stapling machine.* máquina de imprenta = printing machine.* maquina de imprimir con mecanismo de reiteración = perfector.* máquina de imprimir direcciones = addressograph, addressing machine.* máquina de matar = killing machine.* máquina de papel continuo = newsprint machine.* máquina de perforar papeles = desk punch.* máquina de presión plana = platen jobber, platen, platen machine, flat-platen machine.* máquina de recortar con cuchilla recta = straight-knife trimming machine.* máquina de registro de préstamos por medio de la fotografía = photocharger, photocharging machine.* máquina de reiteración = perfecting machine.* máquina de sumar = adding machine.* máquina de tambor = tumbler machine.* máquina de tejer = knitting machine.* máquina de torno = nipping machine.* máquina de vapor = steam engine.* máquina excavadora = excavator.* máquina expendedora = vending machine.* máquina expendedora de sellos = stamp dispenser.* maquina expendora = dispensing machine.* máquina Fourdrinier = Fourdrinier machine.* máquina Fourdrinier de papel continuo = newsprint Fourdrinier.* máquina fundidora de tipos = typecasting machine.* máquina gofradora = cloth-embossing machine, embossing machine.* máquina industrial = manufacturing equipment.* máquina para leer = reading machine.* máquina pensante = reasoning engine.* máquina planográfica = platen machine.* máquina que funciona con monedas = coin-operated machine.* máquina que mantiene las constantes vitales = life-support system.* máquina redonda = mould machine.* máquina rotativa = cylinder machine.* máquinas plegadoras = folding machinery.* máquina tragaperras = slot machine, fruit machine, one-arm(ed) bandit.* montador de máquinas = machine setter.* papel a mano-máquina = mouldmade paper.* papel hecho a máquina = machine-made paper.* papel verjurado hecho a máquina = machine-made laid paper.* posible de ser consultado por máquina = machine-viewable.* sala de máquinas = machine room.* seleccionado por máquina = machine-selected.* taller de máquinas = machine shop.* terminado a máquina = machine-finished.* texto escrito a máquina = typescript.* texto legible por máquina = machine readable text.* * *1)a) ( aparato) machine¿se puede lavar a máquina? — can it be machine-washed?
¿me pasas esto a máquina? — would you type this (up) for me?
b) (Jueg) fruit machine; (Fot) camerac) ( de café) coffee machine2)a) (Náut) enginea toda máquina — at top speed, flat out (colloq)
b) (Ferr) engine, locomotivec) (Ven fam) ( auto) car3) ( organización) machine* * *= machine.Ex: Synonyms, related terms and other variants must now be collected, either by human selection, or with the aid of the machine.
* acabado a máquina = machine-finished.* aprendizaje de la máquina = machine learning (ML).* a toda máquina = in the fast lane, fast lane, full steam ahead, at full tilt, full-tilt, full-throttle, at full throttle, at top speed, at full blast, at full speed.* avanzar a toda máquina = steam ahead, go + full steam ahead.* borrador escrito a máquina = typewritten draft.* Catalogación Legible por Máquina (MARC) = MARC (Machine Readable Cataloguing).* datos legibles por máquina = machine-readable data.* de escritura a máquina = typing.* de la máquina y el hombre = human-machine.* documento legible por máquina = machine readable document.* encargado de la máquina de imprimir = machine-minder.* en la dirección de la máquina = machine-direction.* entre la máquina y el hombre = human-machine.* escribir a máquina = type.* escrito a máquina = typewritten.* escritura a máquina = typewriting.* formato legible por máquina = machine-readable form, machine readable format, machine scannable format.* hecho a máquina = machine-made.* joven ayudante del encargado de la máquina de imprimir = machine boy.* legible por máquina = machine-readable.* máquina continua de papel = paper-making machine.* máquina de afeitar = shaver, electrical razor, electric shaver.* máquina de alzar = gathering machine.* máquina de andar o correr estática = treadmill.* máquina de cepillar = planing machine.* máquina de componer en caliente = hot-metal composing machine, hot-metal machine.* maquina de componer en frío = cold-metal machine, cold-metal composing machine.* máquina de cortar en rebanadas = slicer.* máquina de coser = sewing machine.* máquina de coser libros = book-sewing machine.* máquina de cotejar = collating machine.* máquina de discos = jukebox.* máquina de encartonar = casing-in machine.* máquina de escribir = typewriter.* máquina de escribir de margarita = daisy-wheel typewriter.* máquina de escribir de pelota de golf = golf-ball typewriter.* máquina de escribir eléctrica = electric typewriter, electronic typewriter.* máquina de escribir libros = book-writing machine.* máquina de estampar en relieve = embossing machine.* máquina de estampar tela en relieve = cloth-embossing machine.* máquina de fábrica = manufacturing equipment.* máquina de fabricación = manufacturing equipment.* máquina de fabricar tapas = casemaking machine.* máquina de fax = fax machine.* máquina de franquear = franking machine.* maquina de grapar libros = book-stapling machine.* máquina de imprenta = printing machine.* maquina de imprimir con mecanismo de reiteración = perfector.* máquina de imprimir direcciones = addressograph, addressing machine.* máquina de matar = killing machine.* máquina de papel continuo = newsprint machine.* máquina de perforar papeles = desk punch.* máquina de presión plana = platen jobber, platen, platen machine, flat-platen machine.* máquina de recortar con cuchilla recta = straight-knife trimming machine.* máquina de registro de préstamos por medio de la fotografía = photocharger, photocharging machine.* máquina de reiteración = perfecting machine.* máquina de sumar = adding machine.* máquina de tambor = tumbler machine.* máquina de tejer = knitting machine.* máquina de torno = nipping machine.* máquina de vapor = steam engine.* máquina excavadora = excavator.* máquina expendedora = vending machine.* máquina expendedora de sellos = stamp dispenser.* maquina expendora = dispensing machine.* máquina Fourdrinier = Fourdrinier machine.* máquina Fourdrinier de papel continuo = newsprint Fourdrinier.* máquina fundidora de tipos = typecasting machine.* máquina gofradora = cloth-embossing machine, embossing machine.* máquina industrial = manufacturing equipment.* máquina para leer = reading machine.* máquina pensante = reasoning engine.* máquina planográfica = platen machine.* máquina que funciona con monedas = coin-operated machine.* máquina que mantiene las constantes vitales = life-support system.* máquina redonda = mould machine.* máquina rotativa = cylinder machine.* máquinas plegadoras = folding machinery.* máquina tragaperras = slot machine, fruit machine, one-arm(ed) bandit.* montador de máquinas = machine setter.* papel a mano-máquina = mouldmade paper.* papel hecho a máquina = machine-made paper.* papel verjurado hecho a máquina = machine-made laid paper.* posible de ser consultado por máquina = machine-viewable.* sala de máquinas = machine room.* seleccionado por máquina = machine-selected.* taller de máquinas = machine shop.* terminado a máquina = machine-finished.* texto escrito a máquina = typescript.* texto legible por máquina = machine readable text.* * *A1 (aparato) machineuna máquina para hacer pasta a pasta-making machinemáquina expendedora de bebidas drinks machine¿sabes coser a máquina? do you know how to use a sewing machine?esto hay que coserlo a máquina this will have to be sewn on the machine¿se puede lavar a máquina? can it be machine-washed?no sé escribir a máquina I can't type¿me pasas esto a máquina? would you type this (up) for me?2 ( Jueg) fruit machine3 (cámara) camera4 (de café) coffee machineCompuestos:calculatorsewing machinejukeboxtypewriterone-armed bandit, fruit machineknitting machinewashing machinesnow machineweight machine● máquina de tricotar or tejerknitting machinewind machineclimbing machinevending machine( Esp) ticket machine( AmL) ticket machineslot machine, fruit machine( Col) slot machine, fruit machine( Esp) slot machine, fruit machineB1 ( Náut) enginea toda máquina at top speed, flat out ( colloq)2 ( Ferr) engine, locomotiveC (organización) machinela máquina del partido the party machine* * *
Del verbo maquinar: ( conjugate maquinar)
maquina es:
3ª persona singular (él/ella/usted) presente indicativo2ª persona singular (tú) imperativo
Multiple Entries:
maquinar
máquina
maquinar ( conjugate maquinar) verbo transitivo
to plot, scheme
máquina sustantivo femenino
1
◊ ¿se puede lavar a máquina? can it be machine-washed?;
escribir a máquina to type;
máquina de afeitar safety razor;
( eléctrica) electric razor, shaver;◊ máquina de coser/lavar sewing/washing machine;
máquina de escribir typewriter;
máquina expendedora vending machine;
máquina tragamonedas or (Esp) tragaperras slot machine, fruit machineb) (Jueg) fruit machine;
(Fot) camera
2a) (Ferr, Náut) engine
maquinar verbo transitivo to scheme, plot
máquina sustantivo femenino
1 machine: los botones están cosidos a máquina, the buttons are sewn on by machine
máquina de coser/tabaco, sewing/cigarette machine
máquina de escribir, typewriter
máquina tragaperras, fruit machine
2 fam (coche) car
♦ Locuciones: a toda máquina, at full speed
' máquina' also found in these entries:
Spanish:
A
- agarrotarse
- carro
- cinta
- copiar
- de
- deterioro
- eje
- escribir
- estropear
- estropearse
- expendedor
- expendedora
- fastidiarse
- foto
- frenar
- imprenta
- ingenio
- joderse
- lubricación
- lubrificación
- mano
- margarita
- montaje
- operador
- operadora
- oprimir
- parada
- parado
- probar
- quitanieves
- rebanar
- recambio
- rendimiento
- reparar
- sacar
- segadora
- tabulador
- teclado
- teclear
- zumbar
- activar
- agarrotar
- alimentación
- alimentar
- aparato
- arreglo
- averiado
- batidor
- caja
English:
act up
- action
- adjust
- adjustment
- antiquated
- assemble
- behave
- behavior
- behaviour
- blade
- break
- break down
- broken
- bulldozer
- camera
- control
- custom
- daisywheel
- dead
- dependable
- disable
- dispenser
- efficiency
- efficient
- electronic
- frame
- fruit machine
- go off
- go on
- handle
- harvester
- high-powered
- hum
- idle
- idleness
- jukebox
- loud
- machine
- machine code
- machine-washable
- maintain
- one-armed bandit
- operate
- operation
- operator
- order
- output
- pack up
- performance
- play up
* * *máquina nf1. [aparato] machine;coser a máquina to machine-sew;escribir a máquina to type;escrito a máquina typewritten;hecho a máquina machine-made;lavar a máquina to machine-wash;pasar algo a máquina to type sth out o up;Famser una máquina [muy rápido, muy bueno] to be a powerhousemáquina de afeitar electric razor;máquina de bebidas drinks machine, US drink vending machine;máquina de café (espresso) coffee machine;máquina de cambios change machine;máquina de coser sewing-machine;máquina de discos [en bar] jukebox;máquina destructora de documentos document shredder;máquina de escribir typewriter;máquina expendedora vending machine;máquina fotográfica camera;máquina de fotos camera;máquina herramienta machine tool;máquina de oficina office machine;máquina quitanieves snowplough;máquina registradora cash register;máquina de tabaco cigarette machine;máquina del tiempo time machine;máquina voladora flying machinemáquina de azar slot machine, Br fruit machine;máquina de marcianos Space Invaders® machine;máquina recreativa arcade machine;Am máquina tragamonedas slot machine, Br fruit machine; Esp máquina tragaperras slot machine, Br fruit machine3. [locomotora] enginemáquina de vapor steam engine4. [en buque] engine;sala de máquinas engine room;también Figa toda máquina at full pelt o tilt;Figno fuerces la máquina don't overdo it5. [de estado, partido] machinery[bicicleta] bike; [automóvil] wheels, Br motor* * *f1 machine2 FERR locomotive;a toda máquina at top speed3 C.Am., Caribcar4:pasar algo a máquina type sth* * *máquina nf1) : machinemáquina de coser: sewing machinemáquina de escribir: typewriter2) locomotora: engine, locomotive3) : machine (in politics)4)a toda máquina : at full speed* * *máquina n1. (en general) machine2. (tren) engine -
2 máquina pensante
(n.) = reasoning engineEx. The suggestion that integration can be achieved via a reasoning engine seems fundamentally misconceived.* * *(n.) = reasoning engineEx: The suggestion that integration can be achieved via a reasoning engine seems fundamentally misconceived.
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3 insinuación
f.innuendo, overtone, hint, insinuation.* * *1 (indicación) insinuation, hint\hacerle insinuaciones a alguien (insinuarse) to make a pass at somebody* * *noun f.hint,insinuation* * *SF insinuationhacer insinuaciones sobre algo — to make insinuations about sth, drop hints about sth
insinuaciones eróticas/amorosas — sexual/amorous advances
* * *femenino insinuation* * *= suggestion, innuendo [innuendoes, -pl.], intimation, overtone.Ex. The suggestion that integration can be achieved via a reasoning engine seems fundamentally misconceived.Ex. However, some of the central premises of the film are flawed, and the risqué touches, whether racial or erotic innuendo, are primarily there to titillate and make the film seem hot and controversial.Ex. These currents are better understood as intimations of postmodern populism.Ex. Those materials they describe as ephemera must be collected and despite the derogatory overtones of the descriptor, carefully organized.----* dejar caer insinuaciones = throw + hints.* hacer insinuaciones = make + innuendoes.* hacer insinuaciones sobre = make + noises about, make + a noise about.* insinuación sexual = sexual overture.* * *femenino insinuation* * *= suggestion, innuendo [innuendoes, -pl.], intimation, overtone.Ex: The suggestion that integration can be achieved via a reasoning engine seems fundamentally misconceived.
Ex: However, some of the central premises of the film are flawed, and the risqué touches, whether racial or erotic innuendo, are primarily there to titillate and make the film seem hot and controversial.Ex: These currents are better understood as intimations of postmodern populism.Ex: Those materials they describe as ephemera must be collected and despite the derogatory overtones of the descriptor, carefully organized.* dejar caer insinuaciones = throw + hints.* hacer insinuaciones = make + innuendoes.* hacer insinuaciones sobre = make + noises about, make + a noise about.* insinuación sexual = sexual overture.* * *insinuationhizo insinuaciones sobre su conducta he made insinuations about her conduct, he insinuated things about her conductpor las insinuaciones que me hizo sobre el tema from the hints he dropped about it* * *
insinuación sustantivo femenino
hint;
( que ofende) insinuation;◊ hacerle insinuaciones (amorosas) a algn See Also→ insinuarse
insinuación sustantivo femenino insinuation
' insinuación' also found in these entries:
Spanish:
sutil
- velada
- velado
English:
implication
- innuendo
- suggestion
- hint
- insinuation
- overture
* * *insinuación nfhint, insinuation;insinuaciones [amorosas] advances;se pasó toda la fiesta haciéndole insinuaciones she spent the the whole party coming on to him* * *f insinuation* * * -
4 pensante
adj.thinking, rational.f. & m.thinking being.* * *► adjetivo1 thinking* * *ADJ thinking* * *adjetivo thinking (before n)* * *= thinking.Ex. We are too prone to be dummy people by day, and thinking, articulate individuals only in the safety of home and leisure.----* máquina pensante = reasoning engine.* mente pensante = thinking mind.* ser pensante = sentient being, thinking being.* * *adjetivo thinking (before n)* * *= thinking.Ex: We are too prone to be dummy people by day, and thinking, articulate individuals only in the safety of home and leisure.
* máquina pensante = reasoning engine.* mente pensante = thinking mind.* ser pensante = sentient being, thinking being.* * *thinking ( before n)un ser pensante a thinking being, a being with the capacity to think* * *pensante adjthinking -
5 proceso de razonamiento
(n.) = reasoning processEx. An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.* * *(n.) = reasoning processEx: An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.
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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 procesador inferencial
(n.) = inference engine, inference machineEx. An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.Ex. The 'problem-solving and inference machine' is put in place of today's processor.* * *(n.) = inference engine, inference machineEx: An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.
Ex: The 'problem-solving and inference machine' is put in place of today's processor. -
8 base cognitiva
(n.) = knowledge base [knowledge-base]Ex. An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.* * *(n.) = knowledge base [knowledge-base]Ex: An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.
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9 conocimientos
m.pl.knowledge, background, know-how.* * *(n.) = knowledge base [knowledge-base]Ex. An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.* * *(n.) = knowledge base [knowledge-base]Ex: An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.
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10 solución a problemas
(n.) = problem solutionEx. An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.* * *(n.) = problem solutionEx: An ES consists of a knowledge base plus an 'inference engine' containing reasoning processes and problem solutions.
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11 faiblesse
faiblesse [fεblεs]feminine nouna. (physique, morale) weaknessb. ( = niveau peu élevé) la faiblesse de la demande the low level of demandc. ( = défaut) weak point* * *fɛblɛs1) ( manque de force) gén weakness; (d'infirme, de vieillard) frailty2) ( manque de fermeté) weakness ( envers toward(s))sans faiblesse — [réprimer] ruthlessly; [répression] ruthless
3) ( insuffisance) inadequacy4) ( de voix) faintness; ( d'éclairage) dimness; ( de précipitations) lightness5) (défaut, médiocrité) weakness6) ( défaillance)avoir une faiblesse or des faiblesses — to feel faint
7) ( acte réprouvé) moment of weakness* * *fɛblɛs nf* * *faiblesse nf1 ( manque de force) (de personne, structure) weakness; (d'infirme, de vieillard) frailty; la faiblesse de l'homme face aux cataclysmes man's weakness in the face of cataclysms; ta faiblesse de constitution your frail constitution; la faiblesse de ma vue my poor eyesight; ses jambes tremblaient de faiblesse his/her legs were so weak they trembled; le moteur donne des signes de faiblesse the engine shows signs of being faulty;2 ( manque de fermeté) weakness (envers toward, towards GB); sans faiblesse [réprimer] ruthlessly; [répression] ruthless; avoir la faiblesse de faire to be weak enough to do; mettre qn/être en position de faiblesse to put sb/to be in a weak position;3 ( insuffisance) inadequacy; la faiblesse de nos revenus our low level of income; la faiblesse de la population dans certaines régions the low population levels in some areas;4 ( manque d'intensité) ( de voix) faintness; ( d'éclairage) dimness; ( de précipitations) lightness;5 ( défaut) weakness; les faiblesses de sa théorie/son raisonnement the weaknesses in his theory/his reasoning;6 ( médiocrité) weakness; ta faiblesse en latin your weakness in Latin; la faiblesse de sa mémoire/pensée the weakness of his memory/reasoning;7 ( défaillance) avoir une faiblesse or des faiblesses to feel faint; être pris de faiblesse(s) to feel faint;8 ( acte réprouvé) moment of weakness.[fɛblɛs] nom féminin[de la vue, de la poitrine] weakness4. [insignifiance - d'une différence, d'un écart] insignificancea. [employés] a shortage of staffb. [élèves] insufficient numbersavoir la faiblesse de croire/dire to be foolish enough to believe/to saypour lui, l'amour filial est une faiblesse he considers that loving one's parents is a weaknessavoir une faiblesse pour to have a weakness for, to be partial toavoir une ou être pris de faiblesse to feel faint -
12 индуктивный вывод
1. inductive inference2. bottom-up reasoningРусско-английский большой базовый словарь > индуктивный вывод
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13 expert system
Gen Mgta computer program that emulates the reasoning and decision making of a human expert in a particular field. The main components of an expert system are the knowledge base, which consists of facts and rules about appropriate courses of action based on the knowledge and experience of human experts; the inference engine, which simulates the inductive reasoning of a human expert; and the user interface, which enables users to interact with the system. Expert systems may be used by nonexperts to solve well-defined problems when human expertise is unavailable or expensive, or by experts seeking to find solutions to complex questions. They are used for a wide variety of tasks including medical diagnostics and financial decision making, and are an application of artificial intelligence. -
14 ход
муж.дать задний ход — to put it into reverse, to back down/off/out
на полный ход — at full capacity (о механизме, фабрике); at its height/peak, going strong (о бизнесе, торговле)
ход развития — process; time history
в ходе чего-л. — during, in the course of
гусеничный ход — caterpillar, crawler тех.
есть на ходу — to snatch a meal/bite
задний ход — backing, reverse; backward; reverse motion
замедлять ход — to slow down, to reduce speed
на полном ходу — full-pelt, in full operation
на ходу — in motion, on the move, without stopping ( во время движения) ; in working/running order ( в рабочем состоянии); ( во время работы механизма) while running
полный ход, полный вперед — full speed (ahead)
прибавлять ходу, поддать ходу — to pick up speed; to step on the gas ( о водителе)
свободный ход — free wheeling; coasting (об автомобиле)
своим ходом — under one's own steam/power, on one's own ( двигаться); at one's own pace, (to take) its course ( развиваться)
ход рассуждений — chain/line of argument/reasoning
ход событий — course/march of events; trend of developments
- ход со дворазнать все ходы и выходы — to know all the ins and outs, to be perfectly at home разг.
- ход сообщения
- черный ход3) мн. ч. ходы (в игре) move шахм.; lead, turn карт.ваш ход — it is your move (в шахматах); it is your lead (в картах)
чей ход? — whose move is it? (в шахматах); who is it to lead? (в картах)
•на гусеничном ходу — caterpillar-mounted, caterpillar-tracked; mounted on caterpillar tracks
••дать ход — (делу, заявлению и т.п.)
идти в ход, идти в дело — to be put to use, to be used
пустить в ход — (что-л.)to star, to set going, to give a start, to set in train; to get under way, to get started (о деле, предприятии); to start (up) an engine, to get running/going (о машине, механизме и т.п.); to start (up) a factory, to put a factory into operation (о фабрике и т.п.); to put smth. to use (свое обаяние и т.п.); to put forward an argument ( аргумент)
дела идут полным ходом — affairs/things are in full swing
пускать в ход все средства — to leave no stone unturned; to move heaven and earth
- ловкий ходэтот товар в большом ходу — this article is in great demand, these goods are in great request
- не давать хода
- с ходу -
15 ἀγωγή
A carrying away, Hdt.6.85, etc.; freight, carriage,πρὸς τὰς ἀγωγὰς.. χρῆσθαι ὑποζυγίοις Pl.R. 370e
, cf.X.Lac.7.5, PLond. 3.948.2 (iii A.D.).b intr., τὴν ἀ. διὰ τάχους ἐποιεῖτο pursued his voyage, Th.4.29 (v.l.); movement, Pl.R. 604b; ἀ. ἐπί τι tendency towards.., Hp.Epid.1.1.3 forcible seizure, carrying off, abduction, A.Ag. 1263, S.OC 662;ἀγωγὴν ποιήσασθαι PTeb. 39.22
(ii B. C.), cf. 48.22.5 load, Ostr.1168; weight, AB333.b spell for bringing a person, usu. love-charm, PMag.Par. 1.1390.2 leading of an army, Id.Lg. 746e (pl.); ἀ. στραταρχίας conduct of an expedition, Vett.Val.339.29;ἡ ἀ. τῶν πραγμάτων Plb.3.8.5
.3 direction, training,παιδεία μέν ἐσθ' ἡ παίδων ὁλκή τε καὶ ἀ. πρὸς τὸν ὑπὸ τοῦ νόμου λόγον ὀρθὸν εἰρημένον Pl.Lg. 659d
, cf. 819a;ἀ. ὀρθῆς τυχεῖν πρὸς ἀρετήν Arist.EN 1179b31
;διὰ τὸ ἦθος καὶ τὴν ἀ. Id.Pol. 1292b14
, cf. Cleanth.Stoic.1.107: in pl., systems of education, Chrysipp.Stoic.3.173; esp. of the public education of the Spartan youth,Λακωνικὴ ἀ. Plb. 1.32.1
;Ἀγησίλαος ἤχθη τὴν λεγομένην ἀγωγὴν ἐν Δακεδαίμονι Plu.Ages.1
; ἀ. στοιχειώδης elementary course, Apollon.Perg.Con.1 Praef.:—also of plants, culture, Thphr.HP1.3.2; of diseases, treatment, Gal.12.414, 15.436.4 way of life, conduct, Archyt ap.Stob.2.31.120 (pl.), PTeb. 24.57 (ii B. C.), OGI223.15 (Erythrae, iii B. C.), LXX 2 Ma.6.8, 2 Ep.Tim. 3.10, M.Ant.1.6.6 generally, method, construction (of a law), Arist.Rh. 1375b12; style, D.H.Isoc.20, al.;ἡ ἀ. τῶν διαλέκτων Str.14.1.41
.7 method of proof, esp. of syllogistic reasoning,λόγοι τὰς ἀγωγὰς ὑγιεῖς ἔχοντες Chrysipp.Stoic.2.84
, cf. Simp.in Ph. 759.14; line of argument, Plu.2.106b.9 Milit., manoeuvre, movement, Ascl.Tact.12.7 and 10; order of march, ib.11.8, cf. Ael.Tact.39.1.10 in Law, = Lat. actio, Cod.Just. 4.24.1, al.
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