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1 легко показать, что
•It is easily (or readily) shown (or easy (or straightforward) to show] (or It can easily be shown) that...
* * *Легко показать, чтоOne can easily show that very accurate modeling should be achieved if in the model the vent geometry is identical to that of the prototype.Noting that equations (...) take the same form at the junction, it is easy to show that w0=...It is readily shown that the strain energy plus the potential energy for such an element is given by ve =...It is readily demonstrated that the critical component is downstream of the inlet at all speeds.It is not difficult to show that if the columns of [x(t)] solve equation (...), then the columns of [x(t + T)] also solve equation (...).Русско-английский научно-технический словарь переводчика > легко показать, что
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2 показать
(= показывать) show, register, read, exhibit, reveal, depict, display, illustrate, indicate• Анализ этих уравнений показывает, что... - Inspection of these equations shows that...• Более совершенным рассуждением можно показать, что... - By a more refined argument it can be shown that...• Более того, данное обсуждение показывает, что... - The discussion shows, moreover, that...• Более точное вычисление показывает, что... - A more exact calculation shows that...• Быстро покажем, что... - It will be shown in a moment that...• В главе 2 мы вернемся к этому вопросу и попытаемся показать, что... - In Chapter 2 we shall return to this question and try to show that...• В предыдущем параграфе мы уже показали, как исследовать... - In the preceding section we have shown how to investigate...• Важно, что исследование также показывает, что... - Importantly, the study also shows that...• Нам остается лишь показать, что... - All that remains is to show that...• Вычисления показали, что... - Computations have shown that...• Далее будет показано, что... - It will be shown in the sequel that...• Далее можно показать, что... - It can further be shown that...• Далее, легко показать, что... - It is easy to show, furthermore, that...• Далее, мы показываем, что существуют функции, нарушающие это неравенство при к > 2... - Next, we show that there are functions which violate this inequality for к > 2.• Дальнейшее исследование, однако, показало, что... - Further investigation, however, has shown that...• Дальнейшее применение соотношения (1) показывает, что... - Further application of (1) shows that...• Данная формулировка показывает сразу несколько аспектов. - The formulation reveals several things.• Данные примеры должны показать, что... - These examples should make it clear that...• Данный подход показывает, что... - The present approach shows that...• Данный результат следует немедленно, если мы можем показать, что... - The result will follow immediately if we can show that...• Действительно, в этом случае мы могли бы показать, что... - Indeed, in this case, we may show that...• Довольно громоздкое вычисление показывает, что... - A somewhat lengthy computation shows that...• Еще более удивительным является пример, найденный Смитом [11], который показывает, что... - Even more startling is an example due to Smith [11], which shows that...• Еще раз, это показывает зависимость... - Again, this demonstrates the dependence of...• Здесь мы можем только показать, что... - We can show here only that...• Изучение... показывает, что... - Studies of... indicate that...• Используя определения F и G, легко показать, что... - It is a simple matter, using the definitions of F and G, to show that...• Используя эти соотношения, мы легко можем показать по индукции, что... - From these relations we can easily show by induction that...• Исследование уравнения (4) показывает, что... - An examination of (4) shows that...• Исследования показали важность... - The studies demonstrated the importance of...• Видимо, все это показывает, что... - All this seems to show that...• Как легко показать, используя..., этим можно полностью пренебречь. - It is utterly negligible, as we can easily show by...• Как показывает следующий пример, это не обязательно выполняется. - This is not necessarily the case, as the following example illustrates.• Как приложение данного результата, мы покажем, что... - As an application of this result, we show that...• Количественный анализ этих результатов показывает, что... - A quantitative analysis of these results shows that...• Легко показать, что... - It is easily shown that...• Легкое изменение приведенного выше рассуждения показывает, что... - A slight modification of the above reasoning shows that...• Метод анализа, намеченный в предыдущем абзаце, показывает... - The method of analysis outlined in the last paragraph shows...• Многие годы экспериментов показали, что... - Many years of experimentation have shown that...• Можно показать, что в целом это заключение является справедливым. - It can be shown that this conclusion is generally valid.• Можно показать, что они являются как достаточными, так и необходимыми. - It may be shown that they are sufficient as well as necessary.• Можно показать, что это эквивалентно условию... - This can be shown to be equivalent to the condition that...• Мы должны показать, что... - We have to show that...• Мы можем показать это на простом примере. - We can demonstrate this with a simple example.• Мы оставляем для самостоятельного решения задачу показать, что... - We leave it as a problem to show that...• Мы покажем теперь, что это не справедливо. - We shall now show that this is not the case.• Мы хотим явно показать, что... - We wish to show explicitly that...• На самом деле мы лишь показали, что... - We have in fact only shown that...• На самом деле мы можем показать, что... - We can show, in fact, that...• На самом деле, его исследование, похоже, показывает, что... - Actually his investigation seemed to show that...• Нам остается показать, что... - We need only to show that...; It remains for us to show that...• Намеченные выше вычисления показывают, что... - The calculations outlined above show that...• Например, мы покажем, что... - We shall show, for example, that...• Например, не слишком трудно показать, что... - For example, it is not too difficult to show that...• Например, экспериментально было показано, что... - For example, it has been shown experimentally that...• Наш простой пример показывает, что... - Our simple example demonstrates that...• Наши цифры показывают, что... - Our figures show that...• Небольшое изменение этого доказательства показывает, что... - A minor modification of the proof shows that...• Небольшое размышление показывает, что... - A moment's reflection will indicate that...• Недавние эксперименты показали, что... - Recent experiments have shown that...• Недавняя работа показала, что... - Recent work has shown that...• Недолгое размышление покажет, что... - A moment's thought will show that...• Несколько иное рассуждение показывает, что... - A slightly different argument shows that...• Общие наблюдения показывают... - It is a matter of common observation that...• Один тип... показан на рис. 2. - One type of... is shown in Figure 2.• Однако, мы хотим показать, что... - We wish to show, however, that...• Однако мы уже показали, что... - But we have already shown that...• Однако следующая теорема показывает, что... - The next theorem shows, however, that...• Он показал существование глобального по времени решения. - Не showed existence of a global-in-time weak solution.• Описанные здесь исследования показывают, что... - The studies described here show that...• Исторический опыт показывает, что... - Historical experience shows that...• Остается показать, что... - It remains to be shown that...• Оценка показывает, что... - It is estimated that...• Подобное же рассуждение показывает нам... - A similar argument will show that...• Подобные вычисления показывают, что... - Similar computations reveal that...• Подобным образом можно показать, что... - In like manner it can be shown that...• Подробный вывод показал бы, что... - A detailed derivation would show that...• Подстановка этой величины в уравнение (1) показывает, что... - Insertion of this value into equation (1) shows that...• Полная теория показывает, что... - Detailed theory shows that...• Помимо всего, нам необходимо показать, что... - Above all, we need to show that...• Помимо прочих следствий, данный результат показывает, что... - Among other things, this result shows that...• Последнее разложение показывает, что... - The latter expansion shows that...• Это может быть трудно показать на практике. - In practice this may be difficult to demonstrate.• Предварительные результаты показывают, что... - The preliminary results suggest that...• Пренебрегая этими эффектами, легко показать, что... - Neglecting these effects it is easy to show that...• Приведенный выше пример 2 показывает, что... - Example 2 above shows that...• Придерживаясь тех же обозначений, что и в первом параграфе, мы покажем, что... - With the same notation as in Section 1, we shall show that...• Применение данного метода показывает... - An application of this process shows...• Продолжая действовать так же, как в параграфе 1, мы можем показать, что... - Proceeding as in Section 1, we may show that...• Ранее мы показывали, что... - Earlier we showed that...• Рассуждение, приведенное в конце последней главы, показывает, что... - The argument at the end of the last chapter shows that...• Рассуждения Гильберта относительно этого уравнения показывают, что... - Hilbert's discussion of this equation shows that...• Реальные вычисления, однако, показывают, что... - Actual computations show, however, that...• Результат показан ниже. - The result is recorded below.• С другой стороны, эксперименты показывают, что... - On the other hand, experiments show that...• Следующая серия примеров (= иллюстраций) показывает... - The following series of illustrations shows...• Следующая теорема позволяет нам показать, что... - The following theorem enables us to show that...• Следующие задачи помогут показать, что важность... - The following problems will help show that importance of...• Следующие примеры покажут важность данного определения. - Examples will bring out the significance of this definition.• Следующий пример показывает, что... - The following example shows that...• Следующим шагом мы покажем, что... - Next it will be shown that...• Совершенно аналогичным образом можно показать, что... - It can be shown by an exactly similar process that...• Сравнение с точным результатом (2) показывает, что... - A comparison with the exact result (2) shows that...• Ссылка на уравнение (6) показывает, что... - Reference to equation (6) shows that...• Стандартные вычисления показывают, что... - A routine calculation shows that...• Таблицы данных показывают, что... - The tables show that...• Теоретические соображения показывают, что... - Theoretical considerations show that...• Теперь мы покажем, что допустимо (предполагать и т. п.)... - We shall now show that it is permissible to...• Термометр показывает 20 градусов ниже нуля. - The thermometer shows/reads 20 degrees below zero.• Типичный... показан на рис. 2. - A typical... is shown in Figure 2.• То же самое рассуждение показывает, что... - The same reasoning shows that...• То же самое рассуждение четко показывает, что... - The same reasoning evidently shows that...• То же самое рассуждение, что и выше, показывает, что... - The same argument as above shows that...• То, что мы показали, это... - What we have shown is that...• Только что проделанные вычисления показывают нам, что... - The result just calculated shows us that...• Рис. 2 показывает результаты, полученные... - Fig. 2 shows results obtained for Equation (2.8).• Цель заключается в том, чтобы показать, что... - The aim is to show that...• Чтобы доказать теорему, достаточно показать, что... - То prove the theorem it is sufficient to show that...• Чтобы завершить доказательство, нам остается показать, что... - То complete the proof, we need to demonstrate that...• Чтобы показать, что обратное несправедливо, мы должны... - То show that the converse is false, we must...• Чтобы показать, что это невозможно, давайте... - То show that this is not possible, let...• Чтобы это доказать, нам остается лишь показать, что... - То prove this we need only show that...• Эксперимент подтверждает это, однако также(= одновременно) показывает, что... - Experiment confirms this but also shows that...• Эксперимент показывает, что... - Experiment shows that...; Experiment tells us that...• Эксперименты с полупроводниками показывают, что... - Experiments with semiconductors show that...• Эти и многие другие примеры показывают, что... - These and many other examples show that...• Эти равенства позволяют нам показать, что... - These identities enable us to show that...• Эти рассуждения показывают нам, что... - These considerations show us that...• Эти результаты ясно показывают, что... - These results clearly show that...• Это доказательство легко переделывается для того, чтобы показать, что... - The proof is easily adapted to show that...• Это могло бы быть легко показано при использовании условия... - This may be shown readily by employing the condition that...• Это можно показать двумя методами. - This can be seen in two ways.• Это показывает (одно) важное ограничение (чего-л). - This demonstrates an important limitation of...• Это показывает еще раз, что... - This shows once more that...• Это показывает, что невозможно... - This shows that it is impossible to...• Это простое соотношение немедленно показывает, что... - This simple relation shows immediately that...• Это соотношение также показывает, что... - This relation also shows that...• Это ясно показано на рис. 1, которая представляет результаты (чего-л). - This is clearly demonstrated in Figure 1 which shows the results of...• Этот пример показывает, что может быть необходимым... - This example shows that it may be necessary to...• Этот рисунок четко показывает принципиальные различия между... - This figure clearly illustrates the basic differences between...• Этот эффект будет обсуждаться в главе 2, где будет показано, что... - This effect will be discussed in Chapter 2, where it will be shown that... -
3 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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4 Cros, Charles
SUBJECT AREA: Photography, film and optics[br]b. 1842 Franced. 1888[br]French doctor, painter and man of letters who pioneered research into colour photography.[br]A man of considerable intellect, Cros occupied himself with studies of topics as diverse as Sanskrit and the synthesis of precious stones. He was in particular interested in the possibility of colour photography, and deposited an account of his theories in a sealed envelope with the Académie des Sciences on 2 December 1867, with instructions that it should be opened in 1876. Learning of a forthcoming presentation on colour photography by Ducos du Hauron at the Société Française de Photographie, he arranged for the contents of his communication to be published on 25 February 1869 in Les Mondes. At the Société's meeting on 7 May 1869, Cros's letter was read and samples of colour photography from Ducos du Hauron were shown. Both had arrived at similar conclusions: that colour photography was possible with the analysis of colours using negatives exposed through red, green and blue filters, as demonstrated by Clerk Maxwell in 1861. These records could be reproduced by combining positive images produced in blue-green, magenta and yellow pigments or dyes. Cros and Ducos du Hauron had discovered the principle of subtractive colour photography, which is used in the late twentieth century. In 1878 Cros designed the Chromometre, a device for measuring colours by mixing red, green and blue light, and described the device in a paper to the Société Française de Photographie on 10 January 1879. With suitable modification, the device could be used as a viewer for colour photographs, combining red, green and blue positives. In 1880 he patented the principle of imbibition printing, in which dye taken up by a gelatine relief image could be transferred to another support. This principle, which he called hydrotypie, readily made possible the production of three-colour subtractive photographic prints.[br]Further ReadingJ.S.Friedman, 1944, History of Colour Photography, Boston. Gert Koshofer, 1981, Farbefotografie, Vol. I, Munich.BC -
5 техника
technology, engineering, techniques• В этом параграфе мы наметим элементы техники, используемой для... - In this section we outline the techniques used to...• Возможно разработать технику, чтобы... - It is possible to devise techniques to...• Возможно, наиболее известной техникой является та, где привлекается... - Probably the most well-known technique is that involving...• Вполне разумная техника была разработана для... - Quite subtle techniques have been devised for...• Данная техника может также быть ценной для... - The technique can also be of value in helping to...• Данная техника стала чуть более популярной в начале 1970-х годов. - The technique gained a modest amount of popularity in the early 1970s.• Используется техника, где необходимо... - The technique is used where it is necessary to...• Используя эту технику, можно (показать и т. п.)... - Using this technique, it is possible to...• Как только техника была освоена,... - Once the technique has been mastered,...• Какая бы техника ни использовалась, в основном всегда будет... - Whichever technique is used, there will generally be...• Однако данная техника полезна как учебная. - However, the technique is useful as a teaching tool.• Подобная техника используется для... - A similar technique is used for...• Следующий пример дает иллюстрацию этой техники. - The following example illustrates the technique.• Так как нет доступной техники для... - Since there is no available technique for...• Теперь мы опишем общую технику для... - We now describe a general technique for...• Техника (= метод), с помощью которой это было получено, известна как... - The technique by which this is achieved is known as...• Техника для преодоления данной трудности состоит в том, чтобы... - The technique for overcoming the difficulty is to...• Чтобы изучить..., была развита (некоторая) техника. - A technique has been developed to study...• Эта техника готова для применения к... - The technique lends itself readily to...• Эта техника заменяется использованием... - This technique is being replaced by the use of...• Эта техника первоначальна разрабатывалась в физике. - This technique was developed originally in physics.• Мы сейчас продемонстрируем эту технику, используя... - This technique will now be demonstrated using...• Эта техника, например, использовалась, для... - This technique was used, for example, to...
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