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1 степень сложности
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2 степень сложности
degree of complexity мат.Русско-английский научно-технический словарь Масловского > степень сложности
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3 степень сложности
1) Mathematics: the degree of complexity2) Information technology: degree of complexity3) Makarov: complexity -
4 сложность
1) General subject: anfractuosity, complexity, complicacy, complicatedness, complication, delicacy (положения), entanglement (положения), intricacy, involution, nicety, multiplicity, bafflement2) Computers: sophistication3) Engineering: difficulty, hardship, obstacle, problem, trouble4) Mathematics: compilation5) Jargon: sweat6) Information technology: degree of complexity7) Oil: tortuosity (поровых каналов)8) Business: elaboration9) Polymers: lamination10) Quality control: complexity (напр. системы)11) Metal science: multi-axiality (нагружения), multiaxiality (при сложном напряженном состоянии)12) Makarov: complexity (число неповторяющихся последовательностей в геноме), complicaton, convolution (аргументации и т.п.), involvement -
5 уровень сложности
1) General subject: difficulty level2) Computers: complexity3) Construction: complexity profile (of the project)4) Mathematics: level of complexity (степень), level of sophistication (степень)5) Information technology: degree of complexity -
6 любой сложности
General subject: any degree of complexity, any complexity (напр: Automatic software installation of any complexity...) -
7 можно почти не сомневаться в том, что
•There can be little doubt that a higher degree of complexity exists.
Русско-английский научно-технический словарь переводчика > можно почти не сомневаться в том, что
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8 ступень сложности
Mathematics: degree of complexity -
9 можно почти не сомневаться в том, что
•There can be little doubt that a higher degree of complexity exists.
Русско-английский научно-технический словарь переводчика > можно почти не сомневаться в том, что
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10 дополнительно усложняют картину
Дополнительно усложняют картину-- The eddies shed from these devices constitute a further degree of complexity.Русско-английский научно-технический словарь переводчика > дополнительно усложняют картину
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11 различаться по степени сложности
Различаться по степени сложности-- While the analytical evaluation or prediction of wear in these two categories may differ in the degree of complexity, the basic concepts of abrasiveness apply to both.Русско-английский научно-технический словарь переводчика > различаться по степени сложности
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12 степень интеграции
complexity, degree of integration, (ИС) integration density, ( в микроэлектронике) complexity factor, integration, integration level, integration scale, scale электрон.* * *Русско-английский политехнический словарь > степень интеграции
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13 уровень сложности
Русско-английский словарь по электронике > уровень сложности
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14 уровень сложности
Русско-английский словарь по радиоэлектронике > уровень сложности
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15 cantidad
adv.really (informal). (peninsular Spanish)me gusta cantidad I really like it a lotcorrimos cantidad we did a lot of runningf.1 quantity, amount (medida).¿qué cantidad de pasta hará falta? how much pasta will we need?2 abundance, large number (abundancia).en cantidad in abundance3 number (number).sumar dos cantidades to add two numbers o figures together4 sum (of money) (suma de dinero).* * *1 (gen) quantity; (de dinero) amount, sum► adverbio1 familiar a lot\cantidad de familiar lots of, loads ofen cantidad familiar tons, loadscantidades industriales familiar tons, loads* * *noun f.1) quantity, amount2) sum* * *1. SF1) (=medida) amount, quantityhay que poner la misma cantidad de azúcar que de harina — you have to add the same amount o quantity of sugar as of flour
en cantidad: hemos recibido mercancía en cantidad — we have received huge amounts o quantities of stock
bebo café en cantidades industriales — I drink coffee by the bucketful o by the gallon
cantidad de movimiento — (Fís) momentum
2) [de personas, animales, cosas] number¿has visto la cantidad de discos que tienes? — do you realize just how many records you've got?
3) * (=gran cantidad)a)cantidad de — loads of *
b) LAmcualquier cantidad — * loads *
-¿había mucha gente? -¡cualquier cantidad! — "were there many people?" - "loads!" *
4) [de dinero] sum, amountpor una pequeña cantidad se lo enviamos a su domicilio — for a small sum o amount we'll deliver it to your house
pagaron cantidades millonarias por los derechos de la película — they paid millions for the film rights
5) [de sílaba] quantity2.ADV esp Esp**CANTIDAD Cantidad, como sustantivo, se puede traducir al inglés por amount, number, sum, quantity y figure. ► Cuando cantidad expresa cuánto tenemos, necesitamos u obtenemos de algo se traduce por amount, palabra que se usa en el contexto de nombres incontables: Le preocupaba la cantidad de trabajo que tenía que hacer He was worried about the amount of work he had to do NOTA: Se puede decir a large amount y a small amount, pero es incorrecto decir a big amount o a little amount. ► Cuando hablamos de una cantidad de personas, animales o cosas, (nombres en plural), cantidad se traduce por number. Con la expresión the number of el verbo va en singular y con a number of en plural: En los últimos 30 años la cantidad de consumidores de electricidad ha aumentado en un 50 por ciento In the last 30 years, the number of electricity consumers has risen by 50 per cent Me esperaban una gran cantidad de recibos sin pagar A large number of bills were waiting for me NOTA: Hay que tener en cuenta que con number también podemos utilizar large y small, pero no big ni little. ► Hablando de dinero, cantidad se traduce por sum. Puede aparecer con large, small o huge: Los fabricantes gastan enormes cantidades de dinero en anunciar sus productos Manufacturers spend huge sums of money on advertising their products ► Una cantidad que se puede medir o contar se puede traducir por quantity. Puede ir acompañado de large o small: Quiero un kilo de patatas y la misma cantidad de manzanas I'd like a kilo of potatoes and the same quantity of apples Sólo necesitas una cantidad muy pequeña You only need a very small quantity Amount también es posible en el contexto de sustancias incontables: Sólo necesitas una cantidad muy pequeña You only need a very small amount ► Una cantidad específica, expresada numéricamente, se traduce por figure, que puede aparecer con los adjetivos high y low: Al final se decidieron por una cantidad de veinte mil libras Finally, they decided on a figure of twenty thousand pounds Para otros usos y ejemplos ver la entradame gustas cantidad — I like you a lot, I think you're really cool **
* * *IIIsabe cantidad — she/he knows a lot about everything
a) ( volumen) quantityb) ( suma de dinero) sum, amountc) (número, volumen impresionante)no te puedes imaginar la cantidad de gente/de comida que había — you wouldn't believe how many people there were/how much food there was
tiene amigos en cantidad — she has lots o loads of friends (colloq)
tenemos cantidad or cantidades — (fam) we have lots o tons (colloq)
cualquier cantidad de — (AmS) lots of, loads of (colloq)
* * *= bulk, degree, figure, incidence, quantity, amount, count.Ex. The sheer bulk of the headings and the complexity of references structures is sufficient to confirm that a more systematic approach might prove fruitful.Ex. This degree of standardisation is not the pattern outside of this specific area of application.Ex. I do not remember the exact figures, but it was found that about 16 percent of the approaches to the catalog were by way of subject headings.Ex. The number of entries in pre-co-ordinate system will depend upon the incidence of references and multiple entries.Ex. Thus, in a unit entry catalogue all entries contain the same quantity of detail.Ex. Certain processes in a library, such as circulation and reference, are directly related to the amount of personnel.Ex. Not much data beyond loan counts was available and re-keying and remanipulations were frequently needed to make the information useful.----* aumentar en cantidad = increase in + quantity.* aumento de cantidad = increase in quantity.* cantidad a pagar = amount payable, amount due.* Cantidad + aprox = approx. + Cantidad.* cantidad aproximada = ballpark figure, ballpark estimate, ballpark number.* cantidad comprometida = encumbrance, accrual.* cantidad de tiempo = length of time.* cantidad de trabajo = workload [work load].* cantidad devengada = encumbrance, accrual.* cantidades = monies [money, -sing.].* cantidad global = lump sum.* cantidad máxima = cost ceiling.* cantidad presupuestada = budgeted amount.* cantidad simbólica = nominal fee.* comprar en cantidad = stock up.* contener en cantidad = abound in/with.* contener en cantidad + Nombre = contain + its share of + Nombre.* con una inmensa cantidad de = overflowing with.* diferir en cantidad = differ in + degree.* en cantidad = bulk.* en gran cantidad = prodigiously.* en grandes cantidades = en masse, in good number, in record numbers, in bulk.* en menor cantidad = less copiously.* fabricado en cantidad = mass-produced.* gran cantidad de = large crop of, mass of.* grandes cantidades de = storerooms of, huge numbers of, huge numbers of, great numbers of.* ofrecer en cantidad = offer + in quantity.* poca cantidad = trickle.* por la cantidad de + Número = amounting to + Cantidad.* redondear una cantidad = gross up + figure.* una buena cantidad de = a fair amount of.* una cantidad ingente de = a wealth of.* una cierta cantidad de = a measure of, a proportion of.* una gran cantidad de = a good deal of, a great deal of, a large degree of, a mass of, a plethora of, a supply of, a vast amount of, a city of, a wealth of, a sea of, a cascade of, an army of, a good many, a huge number of, a great number of, a multitude of, scores of, a host of, a vast corpus of, a whole host of.* una gran cantidad y variedad de = a wealth and breadth of.* una inmensa cantidad de = a treasure chest of, a huge number of.* una vasta cantidad de = a vast amount of.* * *IIIsabe cantidad — she/he knows a lot about everything
a) ( volumen) quantityb) ( suma de dinero) sum, amountc) (número, volumen impresionante)no te puedes imaginar la cantidad de gente/de comida que había — you wouldn't believe how many people there were/how much food there was
tiene amigos en cantidad — she has lots o loads of friends (colloq)
tenemos cantidad or cantidades — (fam) we have lots o tons (colloq)
cualquier cantidad de — (AmS) lots of, loads of (colloq)
* * *= bulk, degree, figure, incidence, quantity, amount, count.Ex: The sheer bulk of the headings and the complexity of references structures is sufficient to confirm that a more systematic approach might prove fruitful.
Ex: This degree of standardisation is not the pattern outside of this specific area of application.Ex: I do not remember the exact figures, but it was found that about 16 percent of the approaches to the catalog were by way of subject headings.Ex: The number of entries in pre-co-ordinate system will depend upon the incidence of references and multiple entries.Ex: Thus, in a unit entry catalogue all entries contain the same quantity of detail.Ex: Certain processes in a library, such as circulation and reference, are directly related to the amount of personnel.Ex: Not much data beyond loan counts was available and re-keying and remanipulations were frequently needed to make the information useful.* aumentar en cantidad = increase in + quantity.* aumento de cantidad = increase in quantity.* cantidad a pagar = amount payable, amount due.* Cantidad + aprox = approx. + Cantidad.* cantidad aproximada = ballpark figure, ballpark estimate, ballpark number.* cantidad comprometida = encumbrance, accrual.* cantidad de tiempo = length of time.* cantidad de trabajo = workload [work load].* cantidad devengada = encumbrance, accrual.* cantidades = monies [money, -sing.].* cantidad global = lump sum.* cantidad máxima = cost ceiling.* cantidad presupuestada = budgeted amount.* cantidad simbólica = nominal fee.* comprar en cantidad = stock up.* contener en cantidad = abound in/with.* contener en cantidad + Nombre = contain + its share of + Nombre.* con una inmensa cantidad de = overflowing with.* diferir en cantidad = differ in + degree.* en cantidad = bulk.* en gran cantidad = prodigiously.* en grandes cantidades = en masse, in good number, in record numbers, in bulk.* en menor cantidad = less copiously.* fabricado en cantidad = mass-produced.* gran cantidad de = large crop of, mass of.* grandes cantidades de = storerooms of, huge numbers of, huge numbers of, great numbers of.* ofrecer en cantidad = offer + in quantity.* poca cantidad = trickle.* por la cantidad de + Número = amounting to + Cantidad.* redondear una cantidad = gross up + figure.* una buena cantidad de = a fair amount of.* una cantidad ingente de = a wealth of.* una cierta cantidad de = a measure of, a proportion of.* una gran cantidad de = a good deal of, a great deal of, a large degree of, a mass of, a plethora of, a supply of, a vast amount of, a city of, a wealth of, a sea of, a cascade of, an army of, a good many, a huge number of, a great number of, a multitude of, scores of, a host of, a vast corpus of, a whole host of.* una gran cantidad y variedad de = a wealth and breadth of.* una inmensa cantidad de = a treasure chest of, a huge number of.* una vasta cantidad de = a vast amount of.* * *( fam):este suéter abriga cantidad this sweater is really warmme gustó el libro cantidad I really liked the book, I liked the book a lotcomimos cantidad we ate tons o loads ( colloq)A1 (volumen) quantityno ha calculado la cantidad de agua que se necesita he has not calculated how much water is needed, he has not calculated the quantity o amount of water that is needed2 (suma de dinero) sum, amountcantidad a abonar amount due3(número, volumen impresionante): había una cantidad de mosquitos impresionante there were an incredible number of mosquitoesno te puedes imaginar la cantidad de gente que había you wouldn't believe how many people there weremira la cantidad de comida que hay look how much food there is, look at the amount of food there istiene amigos en cantidad she has lots o loads of friends ( colloq)compra chocolate en cantidades industriales ( fam); he buys loads of o massive quantities of o huge quantities of chocolate ( colloq)¿tenemos más folletos? — cantidad or cantidades ( fam); have we any more leaflets? — loads o tons ( colloq)B (de un sonido) length* * *
cantidad sustantivo femenino
d) ( volumen impresionante):
¡qué cantidad de gente/de comida había! there were so many people/there was so much food!;
tenemos cantidad or cantidades (fam) we have lots o tons (colloq);
cualquier cantidad de (AmS) lots of, loads of (colloq)
cantidad
I sustantivo femenino
1 quantity
2 familiar (número o porción grande) lots of: tienes cantidad de libros, you have got thousands of books
3 (suma de dinero) amount, sum: puede fraccionar la cantidad a pagar, you can divide the payment
4 (cifra) figure
II adverbio familiar a lot: me duele la cabeza cantidad, my head aches terribly
♦ Locuciones: en cantidad, a lot
familiar cantidades industriales, loads, tons
' cantidad' also found in these entries:
Spanish:
abundar
- alcanzar
- algo
- andar
- aproximada
- aproximado
- aumentar
- bárbara
- barbaridad
- bárbaro
- bestialidad
- burrada
- carga
- cien
- ciento
- colateral
- consignar
- cuanta
- cuanto
- desorbitada
- desorbitado
- diluvio
- disconforme
- disparate
- elevarse
- ser
- estimable
- exacta
- exacto
- exageración
- exagerada
- exagerado
- existente
- exorbitante
- fuerte
- gasto
- grande
- hasta
- importante
- indemnización
- inferior
- juntar
- kilo
- lágrima
- manta
- mar
- masa
- media
- menos
- miseria
English:
adequate
- allocation
- amount
- appreciable
- assess
- assessment
- awful
- bare
- by
- check
- commensurate
- dash
- decline
- double
- even
- fair
- fall off
- few
- flow
- generous
- gob
- growing
- host
- large
- less
- little
- measure
- measure out
- minus
- nominal
- number
- of
- pay in
- printing
- put away
- quantity
- rainfall
- readership
- respectable
- scoop
- sink
- small
- some
- sparingly
- sufficiency
- sum
- swell
- taste
- workload
- worth
* * *♦ nf1. [medida] quantity, amount;la cantidad de energía que se emite the amount of energy given off;¿qué cantidad de pasta hará falta? how much pasta will we need?2. [abundancia] abundance, large number;Famhabía cantidad de colegas míos allí there were lots of my colleagues there;en cantidad in abundance;Famprepararon comida en cantidades industriales they made food in industrial quantities3. [número] number;sumar dos cantidades to add two numbers o figures together4. [suma de dinero] sum (of money)♦ advEsp Fam really;me gusta cantidad I really like it a lot;corrimos cantidad we did a lot of running;me duele cantidad it really hurts* * *I f quantity, amount;había cantidad de there was (pl were) a lot of;en cantidad in large amounts;tenemos seda en cantidad we have lots of o plenty of silkII adv:es cantidad de barato it’s really cheap;nos divertimos cantidad we had a really great time* * *ese carro me costó cantidad: that car cost me plentycantidad nf1) : quantity2) : sum, amount (of money)había cantidad de niños en el parque: there were tons of kids in the park* * *cantidad1 adv a lotcantidad2 n2. (número) number3. (de dinero) sum / amountcantidad de lots / loads -
16 stop|ień
m 1. (element schodów) (zewnątrz budynku) step; (wewnątrz budynku) stair- uwaga stopień! mind the step!- przeskakiwać po dwa stopnie naraz to go up/down two steps at a time2. (między dwoma poziomami) step- brzeg stopniami opadał ku morzu the shore dropped down to the sea in steps- kuć stopnie w skale to fashion steps in the rock3. (w hierarchii) rank- urzędnik wyższego stopnia an official of a higher rank, a senior official- stopień doktora a doctor’s degree- dosłużyć się stopnia kapitana to be promoted to the rank of captain4. (w klasyfikacji hierarchicznej) grade- nagroda pierwszego stopnia a first class award- oparzenie I/II/III stopnia a first/second/third degree burn5. (ocena wiadomości ucznia) mark; grade US- stopień z klasówki a class test mark- dostać dobry/słaby stopień to get a good/poor mark a. grade- stawiać stopnie to give marks a. grades- pytać na stopnie to give the class/pupils an oral test6. (jednostka) degree- stopnie Celsjusza degrees Celsius, centigrade- stopnie Fahrenheita degrees Fahrenheit- 40 stopni gorączki a temperature of 40 degrees (Celsius)- przeciwległy kąt ma 30 stopni the opposite angle is 30 degrees- stopień szerokości geograficznej a degree of latitude- stopień długości geograficznej a degree of longitude7. (poziom, intensywność) degree, extent- w znacznym stopniu to a considerable degree, to a large extent- w wysokim/najwyższym stopniu niepokojący extremely worrying- stopień zamożności społeczeństwa the degree of affluence- określić stopień czyjejś winy to establish the extent of sb’s guilt- test gramatyczny o wysokim stopniu trudności a grammatical test with a high degree a. level of complexity8. Jęz. degree- stopień równy, wyższy i najwyższy przymiotnika the positive, comparative, and superlative degree of an adjective- przysłówek w stopniu najwyższym a superlative adverb9 Muz. stepThe New English-Polish, Polish-English Kościuszko foundation dictionary > stop|ień
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17 степень
1. height2. notchни в малейшей степени, ничуть, нисколько — not in the least
3. certain extentдо такой степени, чтобы — to the extent that
в известной мере; до некоторой; степени — certain extent
в большой мере, в значительной степени — to a great extent
4. measureдо некоторой степени; отчасти — in a measure
в какой-то мере, до некоторой степени — in some measure
5. levelуровень интеграции; степень интеграции — integration level
уровень доверия; степень уверенности — level of confidence
6. ratioпередаточное число; степень измельчения — reduction ratio
7. amount8. degrees9. degree; extent; powerпервая степень; первой степени — i degree
степень " серверности " — "server" degree
10. gradeстепень сложности работы; категория работы — job grade
11. pitch12. powerвозвел в степень; возведенный в степень — raised to a power
13. rateстепень распада; степень разрушения — rate of decay
Синонимический ряд:уровень (сущ.) уровень -
18 sistematización
f.systematization, systemization, set of standard procedures.* * ** * *= systematisation [systematization, -USA], systematising [systematizing, -USA].Ex. To investigate the kind of retrieval system suitable to a subject area the vocabulary of which is complex but both demands a high degree of systematisation.Ex. This illustrates the diversity of information resources in the field of aging and the complexity of the systematising of such diverse material for the information seeker.* * *= systematisation [systematization, -USA], systematising [systematizing, -USA].Ex: To investigate the kind of retrieval system suitable to a subject area the vocabulary of which is complex but both demands a high degree of systematisation.
Ex: This illustrates the diversity of information resources in the field of aging and the complexity of the systematising of such diverse material for the information seeker.* * *systematization* * *systematization -
19 степень интеграции
1) Telecommunications: complexity2) Information technology: integration3) Semiconductors: complexity factor, degree of integration, integration level, integration scale, scale of integration4) Makarov: integration (ИС), integration density, level of integrationУниверсальный русско-английский словарь > степень интеграции
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20 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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complexity — /keuhm plek si tee/, n., pl. complexities for 2. 1. the state or quality of being complex; intricacy: the complexity of urban life. 2. something complex: the complexities of foreign policy. [1715 25; COMPLEX + ITY] * * * ▪ scientific theory… … Universalium
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complexity — noun ADJECTIVE ▪ considerable, enormous, extraordinary, extreme, great, immense ▪ full, sheer ▪ Only now did he unders … Collocations dictionary
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