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1 theoretical learning
обр. изучение теории, теоретическое обучение; теоретические знанияAnt: -
2 theoretical learning
Реклама: теоретические знания, теоретические познания -
3 theoretical learning
Англо-русский словарь по исследованиям и ноу-хау > theoretical learning
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4 theoretical
[θıəʹretık(ə)l] a1. 1) теоретическийtheoretical sciences - теоретические науки (в противоп. эмпирическим)
theoretical physics [chemistry] - теоретическая физика [химия]
theoretical model [approach, courses] - теоретическая модель [-ий подход, -ие курсы]
2) идеальный; абсолютный; гипотетическийtheoretical ceiling - ав. расчётный потолок
3) умозрительный, спекулятивный2. склонный к теоретизированию; аналитический -
5 learning
сущ.1)а) общ. изучение, обучение (процесс получения и усвоения информации или навыков, получаемых от преподавателя, из книги, в ходе практических экспериментов или самостоятельной работы и т. д.)б) упр. обучение, научение (в теории управления знаниями: процесс самостоятельного обнаружения и увоения нового знания)learning of trade — овладение профессией, изучение ремесла
The learning of new skills is hard for our senior employees who are nearing retirement. — Освоение новых навыков является трудным процессом для наших пожилых сотрудников, которые близки к пенсионному возрасту.
See:action learning, active learning, adaptive learning, benchlearning, cooperative learning, distance learning, interactive learning, learning by doing, learning by experience, learning by insight, learning in circles, learning via correspondence, linear learning, machine learning, nonlinear learning, organizational learning, overlearning, practical learning, proactive learning, production learning, rational learning, theoretical learning, vicarious learning, work-based learning, standard learning hierarchy2) общ. обученность, степень обученности ( подготовленности); навык, уровень знаний, эрудицияSee:3) с.-х. обучение, дрессировкаSee: -
6 theoretical
adj1) теоретичний2) ідеальний; абсолютний; гіпотетичний3) схильний до теоретизування; аналітичний* * *a1) теоретичнийtheoretical sciences — теоретичні науки (у противоп. емпіричним)
a purely theoretical definition — чисто теоретичне визначення; ідеальний; абсолютний; гіпотетичний
theoretical ceiling — aв. розрахункова стеля; спекулятивний
2) схильний до теоретизування; аналітичний -
7 theoretical
θɪəˈretɪkəl прил.
1) теоретический Syn: abstract
2) абстрактный, отвлеченный, спекулятивный, умозрительный;
созерцательный Syn: abstract, speculative теоретический - * sciences теоретические науки( в противоп. эмпирическим) - * physics теоретическая физика - * arithmetic теорния чисел - * model теоретическая модель - a purely * definition чисто теоретическое определение - * learning теоретические (по) знания идеальный;
абсолютный;
гипотетический - * ceiling (авиация) расчетный потолок умозрительный, спекулятивный - it's only * это всего лишь умозрительный вывод склонный к теоретизированию;
аналитический - * mind аналитический умБольшой англо-русский и русско-английский словарь > theoretical
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8 action learning
HRlearning by sharing real problems with others, as opposed to theoretical classroom learning. Action learning was introduced in the mid-1940s by Reg Revans, who expressed it as: Learning = Programmed knowledge + the ability to ask insightful Questions, or L = P + Q. The technique works best when people in small groups tackle real work-based problems with a view to solving them. Action learning differs from experiential learning, which can apply to an individual alone. -
9 Bibliography
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New York: W. H. Freeman.■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifflin.■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.■ Winston, P. H. (Ed.) (1975). The psychology of computer vision. New York: McGrawHill.■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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10 model
1) макет; модель || моделировать2) образец4) модель, тип ( изделия)5) шаблон•- countably saturated model - countably uniform model - coupled channels model - finite state model - finitely generated model - game-theory model - random trial increment model - random walk model - sampling model -
11 TLC
1) Общая лексика: hum. сокр. Total Luxury Care, внимание и забота (tender loving care), тепло и ласка2) Медицина: total lung capacity (ИВЛ)3) Американизм: Tax Lien Certificate4) Спорт: Tribute Legacy Challenge5) Военный термин: Technical Liaison Committee, Telecommunication Link Controller, Teleconferencing, Total Logistic Control, Training Leaders Continually, tactical leadership course, tank landing craft, telecommand, tracked load carrier, transporter-launcher container6) Техника: Table Ladder Chair7) Шутливое выражение: Talking Listening Cleaning, Theres Lisas Casket, They Love Chino, Tough Luck Charlie, Turtle Loving Care8) Религия: Teens Living For Christ, Tender Loving Christians, Tender Loving Couples, The Little Churches, The Local Church, The Love Of Christ, Together Loving Christ, Transformation Life Center, Trinity Lutheran Church, Trinity's Loving And Caring, Truth Love And Commitment9) Юридический термин: Talent Law And Competition, Totally Lost Control, Traffic Light Care10) Бухгалтерия: Too Little Cash, Too Little Credit11) Фармакология: thin layer chromatography (тонкослойная хроматография)12) Автомобильный термин: Toyota Land Cruiser13) Ветеринария: Three Legged Cat, Tiger Loving Care14) Грубое выражение: Tiny Little Cock, Titillating Lucrative Channel15) Телекоммуникации: Transparent Line Control16) Сокращение: Through Life Costs, Tonnes, Lifting Capacity, Top Line Co. (USA), Thermal Lubrication Charts17) Текстиль: Tenderly Loved Clothing18) Университет: Teaching for Literacy Competence, Technology Life And Careers, The Learning Collaborative, Trichotillomania Learning Center19) Физика: Theoretical Length Of Cut20) Физиология: Tender Love And Care, Therapeutic Lifestyle Changes, Total Leg Control, Total Lymphocyte Count21) Сленг: нежная забота22) Литература: The League City Toastmasters Club, ToastMasters Learning Center23) Нефть: temporary loss control24) Онкология: Tumescent Liposuction Contouring25) Банковское дело: обращающееся налоговое свидетельство (transferable loan certificate)26) Транспорт: Total Luxury Car, Tune Lubricate And Calibrate27) Пищевая промышленность: Tasty Little Crackers, Tough Little Center28) Парфюмерия: тонкослойная хроматография29) Фирменный знак: Technology Learning Consultants, Terry Leese Computer, The Language Connection, The Leaky Cauldron, The Learning Connection, The Leather Company, The Lee Connection, The Lego Company, The Leroy Company, The Lifestyle Clinic, The Liquor Cabinet, The Longevity Company, The Loyal Cube, The Traci Lords Company, Transitional Language Centre30) Экология: threshold limit concentration31) СМИ: The Learning Channel32) Деловая лексика: Technology Leadership Communities, Think Like A Customer, Tool Location Control, Towels Linens And Cash, Trim Label And Convert, расписка о предоставлении переуступаемого кредита (transferable loan certificate)33) Бурение: временная изоляция зоны поглощения (temporary loss control)34) Образование: Tackling Lifes Choices, Teaching Little Children, Teaching, Learning, And Caring, Technology Learning Communities, Technology Linking The Curriculum, Teen Leadership Camp, Teen Leadership Cooperative, Teens Living Clean, That Leadership Camp, Toddler Learning Center, Together Learning And Caring, Total Learning Community, Traditional Learning Calendar, Training Leading And Coaching, Transformational Leadership Circle, Transformational Learning Connections, Trust Loyalty And Challenge35) Инвестиции: transferable loan certificate36) Полимеры: thin-layer chromatography37) Химическое оружие: Transport/Launch Canister38) Безопасность: Trust Level Control, Twist Lock Control39) Расширение файла: Compiled Tool Command Language source code (Geoworks Swat)40) Нефть и газ: tough logging conditions, каротаж на трубах (tough logging conditions)41) Электротехника: transient load characteristic42) Фантастика The Legion Clan43) Общественная организация: Tennessee Llama Community44) Должность: Technology Life Careers45) Правительство: Taxi And Limousine Commission, Transportation For Logan County46) Библиотечное дело: Technology Library Club, Total Library Computerization -
12 tlc
1) Общая лексика: hum. сокр. Total Luxury Care, внимание и забота (tender loving care), тепло и ласка2) Медицина: total lung capacity (ИВЛ)3) Американизм: Tax Lien Certificate4) Спорт: Tribute Legacy Challenge5) Военный термин: Technical Liaison Committee, Telecommunication Link Controller, Teleconferencing, Total Logistic Control, Training Leaders Continually, tactical leadership course, tank landing craft, telecommand, tracked load carrier, transporter-launcher container6) Техника: Table Ladder Chair7) Шутливое выражение: Talking Listening Cleaning, Theres Lisas Casket, They Love Chino, Tough Luck Charlie, Turtle Loving Care8) Религия: Teens Living For Christ, Tender Loving Christians, Tender Loving Couples, The Little Churches, The Local Church, The Love Of Christ, Together Loving Christ, Transformation Life Center, Trinity Lutheran Church, Trinity's Loving And Caring, Truth Love And Commitment9) Юридический термин: Talent Law And Competition, Totally Lost Control, Traffic Light Care10) Бухгалтерия: Too Little Cash, Too Little Credit11) Фармакология: thin layer chromatography (тонкослойная хроматография)12) Автомобильный термин: Toyota Land Cruiser13) Ветеринария: Three Legged Cat, Tiger Loving Care14) Грубое выражение: Tiny Little Cock, Titillating Lucrative Channel15) Телекоммуникации: Transparent Line Control16) Сокращение: Through Life Costs, Tonnes, Lifting Capacity, Top Line Co. (USA), Thermal Lubrication Charts17) Текстиль: Tenderly Loved Clothing18) Университет: Teaching for Literacy Competence, Technology Life And Careers, The Learning Collaborative, Trichotillomania Learning Center19) Физика: Theoretical Length Of Cut20) Физиология: Tender Love And Care, Therapeutic Lifestyle Changes, Total Leg Control, Total Lymphocyte Count21) Сленг: нежная забота22) Литература: The League City Toastmasters Club, ToastMasters Learning Center23) Нефть: temporary loss control24) Онкология: Tumescent Liposuction Contouring25) Банковское дело: обращающееся налоговое свидетельство (transferable loan certificate)26) Транспорт: Total Luxury Car, Tune Lubricate And Calibrate27) Пищевая промышленность: Tasty Little Crackers, Tough Little Center28) Парфюмерия: тонкослойная хроматография29) Фирменный знак: Technology Learning Consultants, Terry Leese Computer, The Language Connection, The Leaky Cauldron, The Learning Connection, The Leather Company, The Lee Connection, The Lego Company, The Leroy Company, The Lifestyle Clinic, The Liquor Cabinet, The Longevity Company, The Loyal Cube, The Traci Lords Company, Transitional Language Centre30) Экология: threshold limit concentration31) СМИ: The Learning Channel32) Деловая лексика: Technology Leadership Communities, Think Like A Customer, Tool Location Control, Towels Linens And Cash, Trim Label And Convert, расписка о предоставлении переуступаемого кредита (transferable loan certificate)33) Бурение: временная изоляция зоны поглощения (temporary loss control)34) Образование: Tackling Lifes Choices, Teaching Little Children, Teaching, Learning, And Caring, Technology Learning Communities, Technology Linking The Curriculum, Teen Leadership Camp, Teen Leadership Cooperative, Teens Living Clean, That Leadership Camp, Toddler Learning Center, Together Learning And Caring, Total Learning Community, Traditional Learning Calendar, Training Leading And Coaching, Transformational Leadership Circle, Transformational Learning Connections, Trust Loyalty And Challenge35) Инвестиции: transferable loan certificate36) Полимеры: thin-layer chromatography37) Химическое оружие: Transport/Launch Canister38) Безопасность: Trust Level Control, Twist Lock Control39) Расширение файла: Compiled Tool Command Language source code (Geoworks Swat)40) Нефть и газ: tough logging conditions, каротаж на трубах (tough logging conditions)41) Электротехника: transient load characteristic42) Фантастика The Legion Clan43) Общественная организация: Tennessee Llama Community44) Должность: Technology Life Careers45) Правительство: Taxi And Limousine Commission, Transportation For Logan County46) Библиотечное дело: Technology Library Club, Total Library Computerization -
13 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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14 method
метод; процедура; способ- antithetic variate method - average ordinate method - average range method - binary search method - conjugate directions method - conjugate gradient method - control chart method - conventional milling method - correlation function method - decision function method - differential control method - Feynman diagram method - first approximation method - gradient projection method - iterative method - large sample method - large sieve method - least-squares regression method - less than fully efficient method - linearly implicit method - method of adjoint gradient - method of algebraic addition - method of alternating directions - method of balanced blocks - method of complex numbers - method of confidence intervals - method of conformal mappings - method of conjugate directions - method of conjugate gradients - method of cyclic descent - method of detached coefficients - method of disjunction of cases - method of divided differences - method of electrical images - method of elimination of quantifiers - method of empty ball - method of extreme values - method of false position - method of feasible directions - method of finite differences - method of first approximation - method of first entrance - method of fitting constants - method of fixed points - method of full enumeration - method of generating functions - method of geometric exhaustion - method of indefinite coefficients - method of infinite descent - method of interval bisection - method of least absolute values - method of least distance - method of least likelihood - method of maximum likelihood - method of means and standard deviations - method of medians and extreme values - method of minimal change - method of minimal variance - method of mirror reflections - method of moving frame - method of multiple comparison - method of orthogonal projections - method of paired associates - method of paired comparisons - method of phase integrals - method of projecting cones - method of proportional parts - method of rotating factors - method of semantic tableaux - method of separation of variables - method of simulaneous displacements - method of stationary phase - method of statistical differentials - method of statistical inference - method of steep variations - method of steepest ascent - method of stochastic approximation - method of straightforward iteration - method of successive displacements - method of successive divisions - method of successive elimination - method of transfinite induction - method of unweighted means - method of variable differences - method of variation of parameters - method of weighted residuals - optimum method - parallel tangents method - precision method - random walk method - recursive method - reduced gradient method - reflected wave method - relative method of measurement - sampling method by variables - statistical sampling method - steepest descent method - time average method -
15 Language
Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)[A list of language games, not meant to be exhaustive:]Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling itSolving a problem in practical arithmeticTranslating from one language into anotherLANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)We dissect nature along the lines laid down by our native languages.The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own LanguageThe forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)[It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)23) Language Is Inevitably Influenced by Specific Contexts of Human InteractionLanguage cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)Historical dictionary of quotations in cognitive science > Language
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16 curve
1) кривая, кривая линия; характеристика; график3) изгиб; кривизна; закругление4) лекало•- 2D curve- 3D curve
- abrupt curve
- action limit curve
- adjustment curve
- arbitrary definite space curve
- bearing stress curve
- bell-shaped curve
- boundary curve
- calibration curve
- characteristic curve
- characteristic time curve
- clearance curve
- closed curve
- complex curve
- continuous curve
- coupler curve
- curve of the profile bearing length ratio
- curve of the profile bearing length
- damping curve
- definable curve
- deflection curve
- elastic curve
- epitrochoidal curve
- exponential curve
- fillet curve
- final curve
- fitted curves
- flow characteristic curve
- flow rate curve
- force-displacement curve
- French curve
- frequency-response curve
- growth curve
- horizontal curve
- horsepower curve
- ideal curve
- instantaneous torque-vs-stepping-rate curve
- involute curve
- irregular curve
- isocost curve
- isomanpower curve
- learning curve
- life curve
- limit normal point curve
- load curve
- load duration curve
- magnetization curve
- moment curve
- mutually tangent curves
- normal force curve
- normal law curve
- nugget-development curve
- performance curve
- phase curve
- pitch curve
- plane curve
- pocket curve
- polynominal curve
- potential curve
- pressure curve
- pressure-flow curve
- pulse curve
- pulse response curve
- relaxation curve
- resonance curve
- response curve
- resultant curve
- rolling curve
- short learning curve
- sine curve
- smooth curve
- S-N curve
- static torque-vs-angular-displacement curve
- tangent curves
- theoretical curve
- three-dimensional space curve
- tooth lengthwise curve
- torque curve
- torque-rotation curve
- torque-time curve
- torque-vs-displacement curve
- transfer curve
- transient curve
- trimmimg curve
- trochoidal curve
- tuning curve
- vertical curve
- Wöhler curve
- working curveEnglish-Russian dictionary of mechanical engineering and automation > curve
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17 curve
кривая; изгибаться- accumulation curve
- action curve
- age-involution weight curve
- antibody-binding curve
- ASN curve
- bimodal curve
- carbon-dioxide curve
- competition curve
- distribution curve
- dose-effect curve
- exponential curve
- frequency curve
- growth curve
- height curve
- hyperbolic curve
- learning curve
- light curve
- logistic curve
- mortality curve
- multihit curve
- muscle curve
- one-hit response curve
- one-step growth curve
- oxygen-dissociation curve
- photoactivation curve
- pressure-flow curve
- pressure-volume curve
- recruitment curve
- regression curve
- reproduction curve
- resultant curve
- sigmoid curve
- single-step growth curve
- species-area curve
- standard curve
- survivorship curve
- theoretical curve
- time curve
- titration curve
- unimodal curve -
18 right
1. n1) право2) (the right) полит. правые•to abolish / to abrogate a right — отменять право
to achieve one's legitimate rights — добиваться осуществления своих законных прав
to be within one's rights in doing smth — быть вправе делать что-л.
to challenge smb's right — оспаривать чье-л. право
to champion smb's rights — отстаивать / защищать чьи-л. права, выступать в защиту чьих-л. прав
to come out in support of smb's rights — отстаивать / защищать чьи-л. права, выступать в защиту чьих-л. прав
to consolidate smb's rights — усиливать чьи-л. права
to contest smb's right — оспаривать чье-л. право
to curtail the rights — урезать кого-л. в правах, ограничивать чьи-л. права
to deprive smb of right — лишать кого-л. права, отказывать кому-л. в праве
to dispute smb's right — оспаривать чье-л. право
to enjoy a right to smth / to do smth — обладать / пользоваться правом, иметь право на что-л. / делать что-л.
to enshrine the right of citizenship in the constitution — записывать право гражданства в конституции
to exercise a right — использовать / осуществлять право, пользоваться правом
to forfeit one's right — утрачивать / лишаться своего права
to give / to grant smb a right — предоставлять кому-л. право
to have a right to smth / to do smth — обладать / пользоваться правом, иметь право на что-л. / делать что-л.
to implement a right — использовать / осуществлять право, пользоваться правом
to infringe smb's rights — ущемлять чьи-л. права
to maintain smb's rights — отстаивать / защищать чьи-л. права, выступать в защиту чьих-л. прав
to make new commitments to human rights — брать на себя новые обязательства в деле соблюдения прав человека
to promote respect for and observance of human rights — поощрять уважение и соблюдение прав человека
to reaffirm one's right — подтверждать свое право
to realize a right — использовать / осуществлять право; пользоваться правом
to relinquish / to renounce a right — отказываться от права
to reserve a right to do smth — оставлять / сохранять за собой право делать что-л.
to restore one's rights — восстанавливать свои права
to stand up for smb's rights — отстаивать / защищать чьи-л. права, выступать в защиту чьих-л. прав
to strengthen smb's rights — усиливать чьи-л. права
to suppress smb's right — подавлять чьи-л. права
to uphold the right — поддерживать чье-л. право
to vindicate smb's rights — отстаивать / защищать чьи-л. права, выступать в защиту чьих-л. прав
- abortion rightto violate smb's rights — нарушать / ущемлять чьи-л. права
- abridgment of rights
- abuse of rights
- advocates of human rights
- assault on smb's rights
- basic rights
- belligerent rights
- campaigner for human rights
- capitulations rights
- center right
- champion of human rights
- civic rights
- civil rights
- commitment to human rights
- confirmation right
- constitutional right
- contractual rights
- country's record on human rights - cultural rights
- curtailment of rights
- declaration of rights
- declaration on rights
- defendant's right to silence
- democratic rights
- deprivation of rights
- disregard for human rights
- disregard of human rights
- drift to the right in the government
- drift to the right
- economic rights
- electoral right
- entry rights to a country
- equal rights
- essential right
- European Court of Human Rights
- exclusive rights
- explicit recognition of a country's right to exist
- fishing right
- flagrant violation of rights
- flagrant violations of rights
- frustration of rights
- full right
- fundamental rights
- gay rights
- guaranteed right
- honorable right
- human rights
- hypocrisy over human rights
- immutable right
- implementation of rights
- improved human rights
- inalienable right
- individual rights
- infringement of smb's rights
- infringements of smb's rights
- inherent right
- International Covenant on Civil and Political Rights
- invasion of smb's rights
- irrevocable right
- lack of rights
- lacking rights
- land right
- landing right
- lawful right
- legal right
- legitimate right
- minority rights
- monopoly right
- moral-political right
- national rights
- nation's right to self-determination
- navigation right
- negotiating right - oil exploration right
- on the political right
- overflying right
- parental rights
- people's basic rights
- personal rights
- political rights
- port right
- postures about human rights
- preferential right
- procedural rights
- proprietary right
- protection of rights
- realization of rights
- recognition of rights
- religious right
- respect for rights
- respect of rights
- restoration of rights to smb
- restoration of smb's rights
- right of abode
- right of accession
- right of appeal
- right of assembly
- right of association
- right of asylum
- right of authorship
- right of conscience
- right of defense
- right of entry to a country
- right of freedom of thought, conscience and religion
- right of impeachment of the President
- right of inheritance
- right of innocent passage
- right of learning
- right of nations / peoples of self-determination
- right of nations / peoples to self-determination
- right of navigation
- right of passage
- right of peoples to determine their own destiny
- right of peoples to order their own destinies
- right of possession
- right of property
- right of publication
- right of recourse
- right of reply
- right of secession
- right of self-defense
- right of settlement
- right of sovereignty
- right of the defendant to remain silence
- right of veto
- right of visit
- right of workers to strike - right to assembly
- right to associate in public organizations
- right to choose one's own destiny
- right to demonstrate
- right to education
- right to elect and be elected
- right to emigrate
- right to equality before the law
- right to exist
- right to fly a maritime flag
- right to form and to join trade unions
- right to free choice of employment
- right to free education
- right to free medical services
- right to free speech
- right to freedom of conscience
- right to freedom of opinion and expression
- right to freedom of peaceful assembly and association
- right to freedom of religion
- right to freedom of thought
- right to health protection
- right to housing
- right to independence
- right to inherit
- right to juridical equality
- right to keep and bear arms
- right to know
- right to labor
- right to life, liberty and security of person
- right to maintenance
- right to marry and to found a family
- right to material security in old age, sickness and disability
- right to national autonomy
- right to national independence and sovereignty
- right to one's own convictions
- right to own property
- right to privacy
- right to residence
- right to rest and leisure
- right to rest
- right to run the country
- right to sail
- right to secede
- right to security of person
- right to self-rule
- right to silence
- right to sit the case before the court
- right to social insurance
- right to speedy trial
- right to study in the native language
- right to take part in government
- right to take part in the management and administration of state and public affairs
- right to territorial integrity
- right to trial by jury
- right to vote
- right to work
- rights don't come without responsibilities
- rights of a man
- rights of minorities
- rights of national minorities
- rights of small states
- rights of the child
- rights of trade unions
- sacred right
- SDR
- social rights
- socio-political rights
- sole right
- sovereign right
- special drawing rights - swing to the right in the government
- swing to the right
- tensions on human rights
- territorial rights
- theoretical right to secede from a country
- trade union rights
- transit right
- treaty rights
- unconditional right
- undisputed right
- unequal rights - veto right
- vital rights
- voting right
- waiver of a right
- with a right to vote
- without a right to vote 2. a1) правый, правильный2) полит. ( часто Right) правый•- far right -
19 efficiency
1) экономическая эффективность; производительность; результативность; продуктивность; прибыльность2) коэффициент полезного действия, кпд; коэффициент использования3) выполнение норм выработки; коэффициент перевыполнения норм выработки4) высокий организационно-технический уровень -
20 artificial intelligence
Gen Mgta branch of computer science concerned with the development of computer systems capable of performing functions that normally require human intelligence, for example, reasoning, problem solving, learning from experience, and speech recognition. Artificial intelligence research combines elements of computer science and cognitive psychology. It is a controversial field because of the difficulty of defining its goals and disagreement over whether these goals are attainable. Much research has been done since World War II, beginning with the theoretical work of Alan Turing during the 1940s. The term became known with the publication in 1961 of the paper Steps Toward Artificial Intelligence by Marvin Minsky, cofounder with John McCarthy of the Artificial Intelligence Laboratory at Massachusetts Institute of Technology. Branches of artificial intelligence with applications in business and management include expert systems and robotics.
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