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observable behavior

  • 1 behavior

    (амер.) марк. поведінка; поводження; вчинок; реакція
    певні дії, вчинки, реакції і т. ін. споживачів (consumer) чи інших учасників економічного процесу, використані для маркетингового дослідження
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    adaptive behavior пристосовницька поведінка; adjustment behavior пристосування; arbitrary behavior свавілля • свавільна поведінка; average behavior пересічна поведінка; bank borrowing behavior позикова поведінка банків; bargaining behavior поведінка при веденні переговорів; brand choice behavior поведінка при виборі марки; business behavior ділова поведінка • поведінка підприємців; business spending behavior динаміка підприємницьких витрат; buyer behavior поведінка покупців • поведінка покупця; channel behavior поведінка каналу розподілу; commercial behavior комерційна поведінка; competitive behavior поведінка конкурентів • поведінка в конфліктних ситуаціях; compliant behavior поступлива поведінка • поступливість; consumer behavior поведінка споживачів • споживацька поведінка; consumer spending behavior динаміка споживацьких витрат • поведінка споживачів; cost behavior динаміка витрат; criterion behavior нормативна поведінка • остаточні вимоги; customer behavior поведінка клієнтів; cyclical behavior циклічна поведінка; daily behavior повсякденна поведінка; demographic behavior демографічна поведінка; desired behavior бажана поведінка; donor behavior поведінка донора; economic behavior економічна поведінка; emotional behavior емоційна поведінка; employee behavior поведінка найманого персоналу • поведінка робітників; fraudulent behavior облудна поведінка • шахрайство; goal-directed behavior цілеспрямована поведінка; group behavior поведінка колективу; group demographic behavior групова демографічна поведінка; income behavior динаміка прибутків; industrial buying behavior поведінка покупців промислових товарів; innate behavior вроджена структура поведінки • інстинктивна поведінка; inventory behavior рух запасів • стан системи управління запасами; investment behavior динаміка інвестицій; involuntary behavior мимовільна поведінка; irrational behavior нераціональна поведінка • нелогічна поведінка; irregular behavior химерна поведінка • дивна поведінка; logical behavior послідовна поведінка; long-range behavior довготривала поведінка; long-term behavior довготривала поведінка; market behavior стан ринку; marketing behavior маркетингова поведінка; migratory behavior міграційна поведінка; neurotic behavior невротична поведінка; nonverbal behavior мовчазна поведінка; observable behavior зовнішня поведінка; obsessive behavior настирлива поведінка; offensive behavior агресивна поведінка • образлива поведінка; optimal behavior оптимальна поведінка; overt behavior зовнішня поведінка; post-purchase behavior реакція на покупку; price behavior динаміка цін; programmed behavior запрограмована поведінка; public behavior громадська поведінка; purchasing behavior поведінка покупців • поведінка покупця; queue behavior стан системи масового обслуговування; rational behavior раціональна поведінка; real-life behavior реальна поведінка • поведінка в реальних умовах; reckless behavior азартна поведінка • необачна поведінка; reinforced behavior підсилена поведінка; seasonal behavior сезонні зміни; shopping behavior поведінка покупців • поведінка покупця; short-range behavior поведінка протягом короткого періоду часу; short-term behavior короткотривала поведінка; social behavior соціальна поведінка • суспільна поведінка; stable behavior стабільна поведінка; strategic behavior стратегічна поведінка; uncooperative behavior конфліктна поведінка; unconscious behavior підсвідома поведінка • несвідома поведінка; verbal behavior словесна поведінка; voluntary behavior добровільна поведінка
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    behavior in particular circumstances поведінка у визначених умовах; behavior in service поведінка при експлуатації; behavior of the economic system динаміка економічної системи; behavior of the firm поведінка фірми; behavior of individuals поведінка окремих осіб; behavior of prices динаміка цін; behavior of the sample поведінка вибірки; behavior towards risk поведінка в умовах ризику
    behavior:: behaviour (брит.)

    The English-Ukrainian Dictionary > behavior

  • 2 поведение в условиях выбора

    поведение в условиях индивидуального выбора, непосредственно наблюдаемое — directly observable individual choice behavior

    Russian-English Dictionary "Microeconomics" > поведение в условиях выбора

  • 3 Troubleshooting

       The task of troubleshooting is, in many ways, the inverse of envisioning. The troubleshooter needs to move from known function to unknown structure, whereas the envisioning moves from known structure to unknown function. If a fault has in some way perturbed the structure of the device, the troubleshooter, even though he may have complete access to the behavior of the faulted device, no longer has total information about its structure (because, for example, a fault that opened a diode's junction might not, of course, be directly observable). The troubleshooter asks the question, "What could have caused this (symptomatic) overall behavior?" rather than, "What behavior do all these local component behaviors produce when connected in this way?" This troubleshooting process, like that of envisioning, entails extensive problem solving in order to resolve ambiguities. For the troubleshooter, the ambiguities lie in determining which of the many possible causes for a given symptom is the actual one. (deKleer & Brown, 1983, p. 181)

    Historical dictionary of quotations in cognitive science > Troubleshooting

  • 4 внешнее поведение

    1) Psychology: overt behavior
    3) Microelectronics: external behavior

    Универсальный русско-английский словарь > внешнее поведение

  • 5 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, Eventually
       Just 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)
       Many 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 Form
       The 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 Formation
       It 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 Contexts
       Even 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)
        18) The Assumption That the Mind Is a Formal System
       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 Intelligence
       The 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 Propositions
       In 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

  • 6 בהביוריזם

    behaviorism, school of psychology that focuses on observable and measurable behavior

    Hebrew-English dictionary > בהביוריזם

  • 7 behaviorisme

    n. behaviorism, school of psychology that focuses on observable and measurable behavior

    Holandés-inglés dicionario > behaviorisme

  • 8 behaviourisme

    n. behaviorism, school of psychology that focuses on observable and measurable behavior

    Holandés-inglés dicionario > behaviourisme

  • 9 gedraging

    n. behaviour, manner of acting, conduct; any observable activity in humans or animals; reaction of a material when exposed to an outside force (also behavior)

    Holandés-inglés dicionario > gedraging

  • 10 pattern

    явление, особенность, практика, постоянный ( эти слова подходят во многих контекстах)

    1. (1996) could be a global pattern-maker (Economist). — 1996 год может оказаться рубежным для всей планеты.

    2. The answers to 1996's questions will produce all sorts of possible patterns (Economist). — Ответы на вопросы 1996 года могут породить самые различные сценарии развития событий.

    3. The whole book forms a rich and subtle yet highly organized pattern (Webster's Third New International Dictionary) — Книга отличается богатым и тонким содержанием и прекрасной организацией материала.

    4. The development on earth of five or six major languages... would strike our imaginary observer as a profoundly natural, indeed inevitable pattern (G. Steiner). — Гипотетическому наблюдателю показалось бы, что в возникновении на земле пяти-шести основных языков есть нечто вполне естественное и даже неизбежное.

    5. Pattern - a reliable sample of traits, acts, or other observable features (Webster's Third New International Dictionary)

    Pattern - a way in which something develops, happens, is arranged, etc (Oxford American Dictionary).

    6. new patterns of family life — новые явления (тенденции) в семейной жизни

    7. In Indochina... all previous patterns of America's involvement abroad were shattered (Henry Kissinger). — В Индокитае были опровергнуты все прежние закономерности американского участия в мировых делах.

    8. These patterns change only gradually (Business Week) — В этом контексте слово "pattern" трудно перевести иначе как "соотношения".

    The English annotation is below. (English-Russian) > pattern

  • 11 pattern

    •• Pattern... way in which something happens, develops, is arranged, etc. (A.S. Hornby).

    •• Это одно из тех слов, с которыми мы мучаемся всю жизнь, – они постоянно ставят нас в трудное положение и приходится искать более или менее приличный выход из него. Несколько примеров, показывающих, что этот орешек нелегко расколоть даже опытному переводчику, особенно если приходится работать в цейтнотном режиме устного перевода.
    •• 1. [1996] could be a global pattern-maker (Economist);
    •• 2. The answers to 1996’s questions will produce all sorts of possible patterns (Economist);
    •• 3. The whole book forms a rich and subtle yet highly organized pattern (Webster’s Third New International Dictionary);
    •• 4. The development on earth of five or six major languages... would strike our imaginary observer as a profoundly natural, indeed inevitable pattern (G. Steiner).
    •• За исключением «технических» значений этого слова, которые нужно просто знать (например, выкройка, образец (ткани), шаблон), pattern – типичное слово с широкой семантикой. Иногда советуют «просто не переводить такие слова», ибо какое-либо реальное значение из них просто «выветрилось». Совет не такой уж плохой, хотя надо всегда помнить, что мы переводим не слова, а смыслы и их сочетания. В какой-то мере этот совет помогает найти выход из положения в примерах 3 и 4: 3. Книга отличается богатым и тонким содержанием и прекрасной организацией материала. 4. Гипотетическому наблюдателю показалось бы, что в возникновении на земле пяти-шести основных языков есть нечто вполне естественное и даже неизбежное. Но владение таким приемом все же не раскрывает «секрет» этого слова. Не слишком помогают и некоторые словари. В них мы найдем некоторый набор возможных переводов (образец, пример, шаблон, форма, модель, схема, манера, узор, рисунок и т.д. и т.п.) или довольно дробное описание «значений» этого слова (в действительности не значений, а просто вариантов словоупотребления).
    •• Мне кажется, что на самом деле значений у этого слова не так много, и главное из них прекрасно характеризуется определением из Webster’s Third New International Dictionary: a reliable sample of traits, acts, or other observable features. Еще одно полезное для переводчика определение (из Oxford American Dictionary): a way in which something develops, happens, is arranged, etc. Из этих определений выводятся и слова русского языка, которые подойдут во многих контекстах: явление, особенность(и), практика, постоянный. Например, new patterns of family life – новые явления (тенденции) в семейной жизни; patterns of behavior – особенности поведения; personality patterns – особенности (психологии) личности. В примере 3. ...предопределят самые различные явления в будущем. Разумеется, речь идет лишь о возможных переводах, а не о рецептах на все случаи жизни. Они не освобождают переводчика от необходимости думать, искать. Как говорится, «возможны варианты», иногда самые неожиданные. В примере 1 можно попробовать так: 1996 год может оказаться рубежным для всей планеты. В примере 2: Ответы на вопросы 1996 года могут породить самые различные сценарии развития событий. Трудное для перевода на английский слово закономерность может пригодиться при переводе английского pattern: In Indochina... all previous patterns of America’s involvement abroad were shattered (Henry Kissinger). – В Индокитае были опровергнуты все прежние закономерности американского участия в мировых делах. Очень важен широкий контекст. Например, в статье в журнале Business Week в предложении These patterns change only gradually слово pattern трудно перевести иначе как соотношения. (Интересный пример со словом pattern см. также во вступительном разделе – Вместо предисловия.)

    English-Russian nonsystematic dictionary > pattern

  • 12 делать предположения о чем-л.

    Он также делает предположения об объектах, которые являются непосредственно наблюдаемыми (поведение в условиях выбора), а не о предметах (предпочтениях), которые непосредственно ненаблюдаемы. — It also makes assumptions about objects that are directly observable (choice behavior), rather than about things that are not (preferences).

    Russian-English Dictionary "Microeconomics" > делать предположения о чем-л.

См. также в других словарях:

  • behavior therapy — or behavioral therapy n behavior modification * * * a therapeutic approach in which the focus is on the patient s observable behavior, rather than on conflicts and unconscious processes presumed to underlie his maladaptive behavior. This is… …   Medical dictionary

  • behavior modification — also behavioral modification n psychotherapy that is concerned with the treatment (as by desensitization or aversion therapy) of observable behaviors rather than underlying psychological processes and that applies learning principles to… …   Medical dictionary

  • behavior — [bē hāv′yər, bihāv′yər] n. [< BEHAVE by analogy with ME havior, property < OFr aveir < avoir, to have] 1. the way a person behaves or acts; conduct; manners 2. a) an organism s responses to stimulation or environment, esp. those… …   English World dictionary

  • Behavior analysis of child development — Child development in behavior analytic theory has origins in John B. Watson s behaviorism.[1] Watson wrote extensively on child development and conducted research (see Little Albert experiment). Watson was instrumental in the modification of… …   Wikipedia

  • behavior — behavioral, adj. behaviorally, adv. /bi hayv yeuhr/, n. 1. manner of behaving or acting. 2. Psychol., Animal Behav. a. observable activity in a human or animal. b. the aggregate of responses to internal and external stimuli. c. a stereotyped,… …   Universalium

  • observable — adjective capable of being seen or noticed (Freq. 1) a discernible change in attitude a clearly evident erasure in the manuscript an observable change in behavior • Syn: ↑discernible, ↑evident • Similar to: ↑ …   Useful english dictionary

  • behavior modification — noun Date: 1970 psychotherapy that is concerned with the treatment (as by desensitization or aversion therapy) of observable behaviors rather than underlying psychological processes and that applies principles of learning to substitute desirable… …   New Collegiate Dictionary

  • behavior — be•hav•ior [[t]bɪˈheɪv yər[/t]] n. 1) the manner of conducting oneself 2) psl Psychol., Animal Behav. a) observable activity in a human or animal b) the aggregate of responses to internal and external stimuli c) a stereotyped species specific… …   From formal English to slang

  • Applied behavior analysis — (ABA) is the science of applying experimentally derived principles of behavior to improve socially significant behavior. ABA takes what we know about behavior and uses it to bring about positive change (Applied). Behaviors are defined in… …   Wikipedia

  • Theory of planned behavior — In psychology, the theory of planned behavior is a theory about the link between attitudes and behavior. It was proposed by Icek Ajzen (last name sometimes spelled Aizen ) as an extension of the theory of reasoned action. It is one of the most… …   Wikipedia

  • Experimental analysis of behavior — The experimental analysis of behavior is the name given to school of psychology founded by B. F. Skinner, and based on his philosophy of radical behaviorism. A central principle was the inductive, data driven [Chiesa, Mecca: Radical Behaviorism:… …   Wikipedia

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