-
1 normal-theory based test
English-Russian electronics dictionary > normal-theory based test
-
2 test
1) испытания || испытывать2) проверка; контроль || проверять; контролировать3) тест; тестирование || тестировать4) критерий; условие; признак•- test of independence
- accelerated life test
- acceleration test
- acceptance test
- actual test
- aging test
- alpha test
- asymptotic test
- audible test
- augmented test
- augmented Dickey-Fuller test
- autocorrelation test
- Bayes test
- bed of nails test
- bench test
- best unbiased test
- beta test
- biased test
- Box-Pierce test
- breakdown test
- breaking test
- break-point test
- Breush-Pagan test
- built-in test
- built-in error rate test
- burn-in reliability test
- built-in self-test
- busy test
- calibration test
- camera linearity test
- captive test
- Charpy test
- check test
- chi-square test
- chi-square test for goodness-of-fit
- chi-square test for homogeneity
- Chow test
- clock-rate test
- closed-loop test
- cointegration test
- combined environmental reliability test
- common factor test
- comparative listening test
- comparison test
- computer-aided test
- conditional moment test
- connectivity test
- conservative test
- consistent test
- constant acceleration test
- constant-load amplitude test
- continuity test
- cumulative sum test
- cumulative sum of squares test
- degradation rate test
- destructive test
- development test
- diagnostic test
- diagnostic function test
- Dickey-Fuller test
- dielectric breakdown test
- differencing test
- distribution-free test
- drive fitness test
- dummy test
- Durbin's h-test
- Durbin-Watson test
- dynamic test
- efficient test
- electrostatic discharge test
- engaged test
- engineering test
- environmental test
- ESD test
- exact test
- exhaustive test
- extensive test
- extreme test
- F-test
- failure-rate test
- field test
- Fisher's test
- Fisher's exact test
- flash test
- forced-failure test
- Friedman's test
- functional test
- gamma test
- Gleiser test
- Godfrey test
- Goldfeld-Quandt test
- go/no-go confidence test
- goodness-of-fit test
- goodness-of-fit chi-square test
- Granger causality test
- Hausman test
- high-potential test
- homogeneity test
- hot-weather test
- hypothesis test
- impact test
- in-circuit test
- independence chi-square test
- indoor test
- information matrix test
- integrated test
- intelligence test
- in-use life test
- invariant test
- J-test
- Kolmogorov-Smirnov test
- Kruskal-Wallis test
- Lagrange multiplier test
- leak test
- leakage test
- life test
- likelihood ratio test
- Ljung-Box test
- local loopback test
- logical test
- log-rank test
- longevity test
- long-term test
- long-time test
- loopback test
- lot-by-lot test
- mandrel test
- Mann-Whitney rank sum test
- Mantel-Cox test
- marginal test
- matrix life test
- memory address test
- misspecification test
- mock-up test
- model test
- modem loopback test
- moisture resistance test
- most powerful test
- multiple-comparison test
- nested test
- non-Bayes test
- nondestructive test
- non-linearity test
- non-nested test
- non-parametric test
- normal-theory based test
- off-line test
- omitted variables test
- on-demand test
- one-sample test
- one-sided test
- on-line test
- on-off test
- open-loop test
- operating-life test
- operational readiness and reliability test
- outer product of gradient test
- over-identifying restrictions test
- parameter constancy test
- parameter-free test
- parametric test
- Pearson's test
- percentage test
- performance test
- power-on self test
- predictive failure test
- preliminary test
- premodel test
- progressive stress test
- proof test
- prototype test
- qualification test
- randomization test
- randomized-step test
- rank test
- reliability test
- remote loopback test
- rig test
- ringing test
- robust statistical test
- routine test
- runs test
- semidestructive test
- sequential test
- sequential probability ratio test
- service test
- shakedown test
- shake-table test
- shelf-life test
- shock test
- short-term test
- short-time test
- significance test
- simulated test
- simulation test
- sing test
- space test
- specification test
- SS test
- static test
- statistical test
- step-stress test
- strength test
- structural test
- studentized test
- Student's test
- subjective test
- system test
- systems test
- terminal strength test
- thermal test
- thermal-fatigue test
- thermal-shock test
- tropical test
- truth-table test
- tuning-fork test
- Turing test
- two-sided test
- ultrasonic test
- unbiased test
- uniformly most powerful test
- unit root test
- variable addition test
- variable deletion test
- vertical-interval test
- vibration test
- vitality test
- voltage-breakdown test
- Wald test
- wear test
- White test
- Wilcoxon signed rank test -
3 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
-
4 práctica
adj.1 practical (estudio, formación).2 skillful, experienced, expert (person).3 practical; handy (tool); convenient (casa).f.1 a skilful pilot.2 practice, training.3 policy.* * *1 practice2 (habilidad) skill1 practical sing■ ahora que he aprobado la teórica puedo pasar a las prácticas now that I've passed the theory I can move on to the practical\en la práctica in practicellevar a la práctica to put into practice* * *1. noun f. 2. f., (m. - práctico)* * *SF1) [de actividad] practicellevar algo a la práctica, poner algo en práctica — to put sth into practice
2) pl prácticas (=aprendizaje) [gen] practice sing, training sing ; [de profesor] teaching practice sing ; [de laboratorio] experimentsprácticas profesionales — professional training, practical training ( for a profession)
* * *1)a) ( en actividad) practice; ( en trabajo) experienceb) ( profesión) practicing*es aconsejable la práctica de algún deporte — it's advisable to play o do some sport
2) ( aplicación) practiceponer algo en práctica or llevar algo a la práctica — to put something into practice
3) prácticas femenino plurala) (clase, sesión práctica)b) ( de maestro) teaching practice4) ( costumbre) practice* * *= practice, observance, practising [practicing, -USA], drill practice, discourse, praxes [praxis, -sing.], run-through.Ex. This practice ensures that a later match can be achieved between the document and its description.Ex. Because of the need to preserve cartographic documents for present and future generations, map librarians are obliged to guarantee strict observance of conservation requirements.Ex. The practicing of writing it is deadly dull and therefore has minimum permanent effect.Ex. No reinforcement drill practice was given to the control group.Ex. The institutional 'traditional student' discourse in the USA is one of fraternity parties and breaking free of parental control.Ex. The process of hybridization consists, first of all, of borrowing and lending concepts, methods, theories, and praxes = El proceso de hibridación se compone, en principio, de los conceptos, métodos, teorías y praxis del préstamo.Ex. This article will provide a brief run-through of some strategies for giving staff and users what they need and expect.----* adquirido con la práctica = experiential.* aprender con la práctica = learn by + doing.* basado en la práctica = empirically-based, grounded in practice, practice-based.* beca de prácticas = in-service training.* buenas prácticas = best practices.* clase de prácticas = practical.* código de buenas prácticas = code of practice, code of good practice.* colección de prácticas = laboratory collection.* comprobación en la práctica real = field test.* comprobar en la práctica real = field-test.* comunidad de prácticas comunes = community of practice.* conservar la práctica de = keep + Posesivo + hands in.* cuaderno de prácticas = resource book.* curso mixto de clases y práctica en la empresa = sandwich course.* ejercicio y práctica = drill and practice.* encargado de poner en práctica = implementor [implementer].* en la práctica = in action, in practice, in practical terms, in implementation.* en la práctica real = in actual practice.* en la puesta en práctica = in implementation.* en prácticas = trainee.* estar falto de práctica = get + rusty.* falto de práctica = rusty [rustier -comp., rustiest -sup.].* formación de profesorado en prácticas = in-service teacher training.* formación en prácticas = in-service.* la práctica hace al maestro = practice makes perfect.* libro de prácticas = resource book.* llevar a la práctica = practise [practice, -USA], put into + practice, put into + practical effect, carry out, put into + effect.* llevar a la práctica una decisión = implement + decision.* orientado hacia la práctica = practice-oriented.* partiendo de la práctica = practice-led.* período de prácticas = work placement, training attachment.* período de prácticas en centros = practicum.* período de prácticas en la industria = industrial placement.* persona en prácticas = trainee, intern.* poner en práctica = exercise, implement, put into + practice, put to + work, put into + effect, put into + practical effect, put in + place, put into + place, translate into + practical action, bring to + bear, deploy.* poner en práctica una idea = put + Posesivo + idea + into practice.* poner en práctica una normativa = carry out + policy.* poner en práctica un arte = practise + art.* ponerse en práctica = go into + effect.* práctica bibliotecaria = library practice.* práctica cada vez más frecuente = growing practice.* práctica clínica = clinical practice.* práctica común = common practice.* práctica común, la = normal pattern, the.* práctica cotidiana = daily practice.* práctica de música = music-making.* práctica diaria = daily practice.* práctica popular = lore.* práctica real = actual practice.* práctica religiosa = religious practice.* prácticas comerciales = business practices.* prácticas de campo = fieldwork [field work].* prácticas ilegales = unlawful practices.* prácticas más adecuadas = best practices, lessons learned [lessons learnt].* práctica social = meme.* prácticas sexuales = sexual mores.* profesor en prácticas = in-service teacher.* programa de prácticas en la empresa = internship program(me), internship.* programa mixto de clases y práctica en la empresa = sandwich programme.* puesta en práctica = enforcement, execution, implementation, operationalisation [operationalization, -USA].* seguir una práctica = adopt + practice.* teoría y práctica = policy and practice.* trabajar como persona en prácticas = intern.* * *1)a) ( en actividad) practice; ( en trabajo) experienceb) ( profesión) practicing*es aconsejable la práctica de algún deporte — it's advisable to play o do some sport
2) ( aplicación) practiceponer algo en práctica or llevar algo a la práctica — to put something into practice
3) prácticas femenino plurala) (clase, sesión práctica)b) ( de maestro) teaching practice4) ( costumbre) practice* * *= practice, observance, practising [practicing, -USA], drill practice, discourse, praxes [praxis, -sing.], run-through.Ex: This practice ensures that a later match can be achieved between the document and its description.
Ex: Because of the need to preserve cartographic documents for present and future generations, map librarians are obliged to guarantee strict observance of conservation requirements.Ex: The practicing of writing it is deadly dull and therefore has minimum permanent effect.Ex: No reinforcement drill practice was given to the control group.Ex: The institutional 'traditional student' discourse in the USA is one of fraternity parties and breaking free of parental control.Ex: The process of hybridization consists, first of all, of borrowing and lending concepts, methods, theories, and praxes = El proceso de hibridación se compone, en principio, de los conceptos, métodos, teorías y praxis del préstamo.Ex: This article will provide a brief run-through of some strategies for giving staff and users what they need and expect.* adquirido con la práctica = experiential.* aprender con la práctica = learn by + doing.* basado en la práctica = empirically-based, grounded in practice, practice-based.* beca de prácticas = in-service training.* buenas prácticas = best practices.* clase de prácticas = practical.* código de buenas prácticas = code of practice, code of good practice.* colección de prácticas = laboratory collection.* comprobación en la práctica real = field test.* comprobar en la práctica real = field-test.* comunidad de prácticas comunes = community of practice.* conservar la práctica de = keep + Posesivo + hands in.* cuaderno de prácticas = resource book.* curso mixto de clases y práctica en la empresa = sandwich course.* ejercicio y práctica = drill and practice.* encargado de poner en práctica = implementor [implementer].* en la práctica = in action, in practice, in practical terms, in implementation.* en la práctica real = in actual practice.* en la puesta en práctica = in implementation.* en prácticas = trainee.* estar falto de práctica = get + rusty.* falto de práctica = rusty [rustier -comp., rustiest -sup.].* formación de profesorado en prácticas = in-service teacher training.* formación en prácticas = in-service.* la práctica hace al maestro = practice makes perfect.* libro de prácticas = resource book.* llevar a la práctica = practise [practice, -USA], put into + practice, put into + practical effect, carry out, put into + effect.* llevar a la práctica una decisión = implement + decision.* orientado hacia la práctica = practice-oriented.* partiendo de la práctica = practice-led.* período de prácticas = work placement, training attachment.* período de prácticas en centros = practicum.* período de prácticas en la industria = industrial placement.* persona en prácticas = trainee, intern.* poner en práctica = exercise, implement, put into + practice, put to + work, put into + effect, put into + practical effect, put in + place, put into + place, translate into + practical action, bring to + bear, deploy.* poner en práctica una idea = put + Posesivo + idea + into practice.* poner en práctica una normativa = carry out + policy.* poner en práctica un arte = practise + art.* ponerse en práctica = go into + effect.* práctica bibliotecaria = library practice.* práctica cada vez más frecuente = growing practice.* práctica clínica = clinical practice.* práctica común = common practice.* práctica común, la = normal pattern, the.* práctica cotidiana = daily practice.* práctica de música = music-making.* práctica diaria = daily practice.* práctica popular = lore.* práctica real = actual practice.* práctica religiosa = religious practice.* prácticas comerciales = business practices.* prácticas de campo = fieldwork [field work].* prácticas ilegales = unlawful practices.* prácticas más adecuadas = best practices, lessons learned [lessons learnt].* práctica social = meme.* prácticas sexuales = sexual mores.* profesor en prácticas = in-service teacher.* programa de prácticas en la empresa = internship program(me), internship.* programa mixto de clases y práctica en la empresa = sandwich programme.* puesta en práctica = enforcement, execution, implementation, operationalisation [operationalization, -USA].* seguir una práctica = adopt + practice.* teoría y práctica = policy and practice.* trabajar como persona en prácticas = intern.* * *A1 (en una actividad) practice; (en un trabajo) experiencele falta práctica he needs practicese aprende con la práctica you learn by practice, it comes with practicetiene mucha práctica he's had a lot of practicehe perdido la práctica I'm out of practicenecesita ayuda mientras va adquiriendo práctica he needs to be helped while he's gaining experiencela práctica hace maestro practice makes perfect2 (ejercicio) practicing*abandonó la práctica del derecho para hacer política she gave up practicing law to go into politicses aconsejable la práctica de algún deporte it's advisable to play o do some sportB (aplicación) practiceen la práctica in practiceponer algo en práctica or llevar algo a la práctica to put sth into practice1(clase, sesión práctica): prácticas de tiro target practicelas prácticas de Anatomía the anatomy practicals2 (de un maestro) teaching practicela escuela donde hice (las) prácticas the school where I did my teaching practicehice las prácticas en la clínica de la Paz I did my internship ( AmE) o ( BrE) my houseman year at the la Paz hospitalcontrato en prácticas work-experience contractD (costumbre) practiceson prácticas muy extendidas en esta zona these practices o customs are widespread in this areaesta operación es hoy una práctica habitual en la medicina this operation is common practice in medicine today* * *
Del verbo practicar: ( conjugate practicar)
practica es:
3ª persona singular (él/ella/usted) presente indicativo2ª persona singular (tú) imperativo
Multiple Entries:
practicar
práctica
practicar ( conjugate practicar) verbo transitivo
1
‹ tenis› to play;
no practica ningún deporte he doesn't play o do any sport(s)
2 (frml) (llevar a cabo, realizar) ‹corte/incisión› to make;
‹autopsia/operación› to perform, do;
‹redada/actividad› to carry out;
‹ detenciones› to make
verbo intransitivo ( repetir) to practice( conjugate practice);
( ejercer) to practice( conjugate practice)
práctica sustantivo femenino
1
( en trabajo) experience;
2 ( aplicación) practice;
poner algo en práctica or llevar algo a la práctica to put sth into practice
3
( de maestro) teaching practice;
4 ( costumbre) practice
practicar
I verbo transitivo
1 (una profesión) to practise, US practice
2 (una actividad) to play, practise: deberías practicar el tenis más a menudo, you should play tennis more regularly
3 (una operación, etc) to carry out, do, perform: tuvieron que practicarle una autopsia, they had to perform a post mortem on him
4 Rel to practise
II verbo intransitivo to practise: si quieres hablar bien el inglés, debes practicar más, if you want to speak good English, you must practise more ➣ Ver nota en practise
práctico,-a
I adjetivo
1 (un objeto) handy, useful
2 (una persona, disciplina) practical
II m Náut pilot
práctica sustantivo femenino
1 (actividad) practice
2 (aplicación) poner algo en práctica, to put sthg into practice
3 (costumbre) una práctica habitual, a common practice
4 (aprendizaje, formación) prácticas, teaching practice
5 Educ (clases no teóricas) practicals, US labs: por la mañana tiene prácticas de química, in the morning he has chemistry practicals ➣ Ver nota en practise
' práctica' also found in these entries:
Spanish:
continuismo
- costumbre
- docencia
- marcha
- vela
- ejercicio
- equitación
- instrucción
- perder
- practicar
English:
action
- code
- current
- excel
- feasible
- follow up
- hate
- implement
- insider dealing
- insider trading
- observance
- practically
- practice
- practise
- run-through
- rusty
- turn
- convenient
- malpractice
- mock
- practical
- protection
- teaching
* * *práctica nf1. [experiencia] practice;te hace falta más práctica you need more practice;con la práctica adquirirás más soltura you'll become more fluent with practice;esto es algo que se aprende con la práctica it comes with practice2. [ejercicio] practice;[de un deporte] playing;se dedica a la práctica de la medicina she practices medicine;me han recomendado la práctica de la natación I've been advised to go swimming3. [aplicación] practice;llevar algo a la práctica, poner algo en práctica to put sth into practice;en la práctica in practice4. [clase no teórica] practical;prácticas de laboratorio lab sessions5.prácticas [laborales] training;contrato en prácticas work-experience contract6. [costumbre] practice;ser práctica establecida to be standard practice* * *f practice;en la práctica in practice;llevar a la práctica, poner en práctica put into practice;perder la práctica get out of practice;tener práctica en algo have experience in sth;prácticas pl work experience sg ;hacer prácticas do a work placement* * *práctica nf1) : practice, experience2) ejercicio: exercisingla práctica de la medicina: the practice of medicine3) aplicación: application, practiceponer en práctica: to put into practice4) prácticas nfpl: training* * *práctica n practice -
5 Creativity
Put in this bald way, these aims sound utopian. How utopian they areor rather, how imminent their realization-depends on how broadly or narrowly we interpret the term "creative." If we are willing to regard all human complex problem solving as creative, then-as we will point out-successful programs for problem solving mechanisms that simulate human problem solvers already exist, and a number of their general characteristics are known. If we reserve the term "creative" for activities like discovery of the special theory of relativity or the composition of Beethoven's Seventh Symphony, then no example of a creative mechanism exists at the present time. (Simon, 1979, pp. 144-145)Among the questions that can now be given preliminary answers in computational terms are the following: how can ideas from very different sources be spontaneously thought of together? how can two ideas be merged to produce a new structure, which shows the influence of both ancestor ideas without being a mere "cut-and-paste" combination? how can the mind be "primed," so that one will more easily notice serendipitous ideas? why may someone notice-and remember-something fairly uninteresting, if it occurs in an interesting context? how can a brief phrase conjure up an entire melody from memory? and how can we accept two ideas as similar ("love" and "prove" as rhyming, for instance) in respect of a feature not identical in both? The features of connectionist AI models that suggest answers to these questions are their powers of pattern completion, graceful degradation, sensitization, multiple constraint satisfaction, and "best-fit" equilibration.... Here, the important point is that the unconscious, "insightful," associative aspects of creativity can be explained-in outline, at least-by AI methods. (Boden, 1996, p. 273)There thus appears to be an underlying similarity in the process involved in creative innovation and social independence, with common traits and postures required for expression of both behaviors. The difference is one of product-literary, musical, artistic, theoretical products on the one hand, opinions on the other-rather than one of process. In both instances the individual must believe that his perceptions are meaningful and valid and be willing to rely upon his own interpretations. He must trust himself sufficiently that even when persons express opinions counter to his own he can proceed on the basis of his own perceptions and convictions. (Coopersmith, 1967, p. 58)he average level of ego strength and emotional stability is noticeably higher among creative geniuses than among the general population, though it is possibly lower than among men of comparable intelligence and education who go into administrative and similar positions. High anxiety and excitability appear common (e.g. Priestley, Darwin, Kepler) but full-blown neurosis is quite rare. (Cattell & Butcher, 1970, p. 315)he insight that is supposed to be required for such work as discovery turns out to be synonymous with the familiar process of recognition; and other terms commonly used in the discussion of creative work-such terms as "judgment," "creativity," or even "genius"-appear to be wholly dispensable or to be definable, as insight is, in terms of mundane and well-understood concepts. (Simon, 1989, p. 376)From the sketch material still in existence, from the condition of the fragments, and from the autographs themselves we can draw definite conclusions about Mozart's creative process. To invent musical ideas he did not need any stimulation; they came to his mind "ready-made" and in polished form. In contrast to Beethoven, who made numerous attempts at shaping his musical ideas until he found the definitive formulation of a theme, Mozart's first inspiration has the stamp of finality. Any Mozart theme has completeness and unity; as a phenomenon it is a Gestalt. (Herzmann, 1964, p. 28)Great artists enlarge the limits of one's perception. Looking at the world through the eyes of Rembrandt or Tolstoy makes one able to perceive aspects of truth about the world which one could not have achieved without their aid. Freud believed that science was adaptive because it facilitated mastery of the external world; but was it not the case that many scientific theories, like works of art, also originated in phantasy? Certainly, reading accounts of scientific discovery by men of the calibre of Einstein compelled me to conclude that phantasy was not merely escapist, but a way of reaching new insights concerning the nature of reality. Scientific hypotheses require proof; works of art do not. Both are concerned with creating order, with making sense out of the world and our experience of it. (Storr, 1993, p. xii)The importance of self-esteem for creative expression appears to be almost beyond disproof. Without a high regard for himself the individual who is working in the frontiers of his field cannot trust himself to discriminate between the trivial and the significant. Without trust in his own powers the person seeking improved solutions or alternative theories has no basis for distinguishing the significant and profound innovation from the one that is merely different.... An essential component of the creative process, whether it be analysis, synthesis, or the development of a new perspective or more comprehensive theory, is the conviction that one's judgment in interpreting the events is to be trusted. (Coopersmith, 1967, p. 59)In the daily stream of thought these four different stages [preparation; incubation; illumination or inspiration; and verification] constantly overlap each other as we explore different problems. An economist reading a Blue Book, a physiologist watching an experiment, or a business man going through his morning's letters, may at the same time be "incubating" on a problem which he proposed to himself a few days ago, be accumulating knowledge in "preparation" for a second problem, and be "verifying" his conclusions to a third problem. Even in exploring the same problem, the mind may be unconsciously incubating on one aspect of it, while it is consciously employed in preparing for or verifying another aspect. (Wallas, 1926, p. 81)he basic, bisociative pattern of the creative synthesis [is] the sudden interlocking of two previously unrelated skills, or matrices of thought. (Koestler, 1964, p. 121)11) The Earliest Stages in the Creative Process Involve a Commerce with DisorderEven to the creator himself, the earliest effort may seem to involve a commerce with disorder. For the creative order, which is an extension of life, is not an elaboration of the established, but a movement beyond the established, or at least a reorganization of it and often of elements not included in it. The first need is therefore to transcend the old order. Before any new order can be defined, the absolute power of the established, the hold upon us of what we know and are, must be broken. New life comes always from outside our world, as we commonly conceive that world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." (Ghiselin, 1985, p. 4)New life comes always from outside our world, as we commonly conceive our world. This is the reason why, in order to invent, one must yield to the indeterminate within him, or, more precisely, to certain illdefined impulses which seem to be of the very texture of the ungoverned fullness which John Livingston Lowes calls "the surging chaos of the unexpressed." Chaos and disorder are perhaps the wrong terms for that indeterminate fullness and activity of the inner life. For it is organic, dynamic, full of tension and tendency. What is absent from it, except in the decisive act of creation, is determination, fixity, and commitment to one resolution or another of the whole complex of its tensions. (Ghiselin, 1952, p. 13)[P]sychoanalysts have principally been concerned with the content of creative products, and with explaining content in terms of the artist's infantile past. They have paid less attention to examining why the artist chooses his particular activity to express, abreact or sublimate his emotions. In short, they have not made much distinction between art and neurosis; and, since the former is one of the blessings of mankind, whereas the latter is one of the curses, it seems a pity that they should not be better differentiated....Psychoanalysis, being fundamentally concerned with drive and motive, might have been expected to throw more light upon what impels the creative person that in fact it has. (Storr, 1993, pp. xvii, 3)A number of theoretical approaches were considered. Associative theory, as developed by Mednick (1962), gained some empirical support from the apparent validity of the Remote Associates Test, which was constructed on the basis of the theory.... Koestler's (1964) bisociative theory allows more complexity to mental organization than Mednick's associative theory, and postulates "associative contexts" or "frames of reference." He proposed that normal, non-creative, thought proceeds within particular contexts or frames and that the creative act involves linking together previously unconnected frames.... Simonton (1988) has developed associative notions further and explored the mathematical consequences of chance permutation of ideas....Like Koestler, Gruber (1980; Gruber and Davis, 1988) has based his analysis on case studies. He has focused especially on Darwin's development of the theory of evolution. Using piagetian notions, such as assimilation and accommodation, Gruber shows how Darwin's system of ideas changed very slowly over a period of many years. "Moments of insight," in Gruber's analysis, were the culminations of slow long-term processes.... Finally, the information-processing approach, as represented by Simon (1966) and Langley et al. (1987), was considered.... [Simon] points out the importance of good problem representations, both to ensure search is in an appropriate problem space and to aid in developing heuristic evaluations of possible research directions.... The work of Langley et al. (1987) demonstrates how such search processes, realized in computer programs, can indeed discover many basic laws of science from tables of raw data.... Boden (1990a, 1994) has stressed the importance of restructuring the problem space in creative work to develop new genres and paradigms in the arts and sciences. (Gilhooly, 1996, pp. 243-244; emphasis in original)Historical dictionary of quotations in cognitive science > Creativity
-
6 sample
ˈsɑ:mpl
1. сущ.
1) а) образец, образчик, экземпляр to distribute, hand out ( free) samples ≈ раздавать образцы floor sample ≈ товар, потерявший товарный вид free sample ≈ бесплатный образец, экземпляр б) проба (часто для научного или медицинского исследования) they took samples of my blood ≈ у меня взяли кровь на пробу ∙ Syn: pattern
1., specimen
2) пример, образец ( о нематериальных сущностях) Syn: example, illustration, instance
1.
3) мат.;
стат. выборка We based our analysis on a random sample of more than 200 people. ≈ Наш анализ опирается на исследование случайной выборки, состоящей из более чем 200 человек.
4) модель, шаблон
2. прил. представляющий собой образец, пример sample questions ≈ примерные вопросы (напр., к экзамену)
3. гл.
1) а) брать образцы или пробы;
особ. определять качество на основе анализа отдельного образца Syn: test
2. б) пробовать на вкус, дегустировать( блюда, напитки) Syn: taste
2.
2) испытывать, пробовать a good chance to sample a different way of life ≈ неплохой шанс попробовать изменить образ жизни Syn: try
2.
3) представлять собой образец, образчик;
служить образчиком (чего-л.)
4) снабжать образцами (особ. какой-л. продукции) to sample the dealers with new articles ≈ снабдить торговых представителей образцами новых товаров образец, образчик;
проба - fine * прекрасный образчик - a book of *s альбом образцов - *s of air for analysis пробы воздуха для анализа - to sell by * продавать по образцам - up to *, equal to * соответствующий образцу - below /not up to, not equal to/ * не соответствующи образцу - as per * (коммерческое) согласно образцу - representative * характерный образец - * bottle пробная бутылка - * tea образец чая - * operation order( военное) примерный боевой приказ образец, пример - a * of courage образец смелости - to give a * of one's knowledge продемонстрировать свою образованность шаблон, модель (статистика) выборка, замер, выборочная совокупность - * census выборочная перепись - * unit единица выборки - representative * репрезентативная /представительная/ выборка отбирать образцы или пробы пробовать, испытывать - it was the first time I had *d camp life тогда я впервые испытал лагерную /походную/ жизнь adequate ~ образец, соответствующий требованиям biased ~ стат. необъективная выборка biased ~ стат. пристрастная выборка biased ~ смещенная выборка biased ~ стат. смещенная выборка bivariate ~ двумерная выборка blood ~ образец крови ~ образец, образчик;
book of samples альбом образцов censored ~ цензурированная выборка cluster ~ стат. групповой выбор commercial ~ (not for sale) торговый образец товара не для продажи counter ~ конкурирующий образец free ~ бесплатный образец judgment ~ преднамеренный выбор large ~ большая выборка lot ~ выборка из партии moderate-sized ~ выборка умеренного объема multicensored ~ многократно цензурированная выборка multiphase ~ многофазная выборка multipurpose ~ многоцелевая выборка multistage ~ многоступенчатая выборка nongrouped ~ негруппированная выборка normal ~ нормальная выборка ordered ~ упорядоченная выборка probability ~ вероятностная выборка proportionate ~ пропорциональная выборка purposive ~ преднамеренная выборка quality ~ выборочный уровень качества quasi-random ~ квазислучайная выборка quota ~ пропорциональная выборка quota ~ стат. пропорциональная выборка random ~ образец, взятый по схеме случайного отбора random ~ произвольная выборка random ~ случайная выборка random ~ случайный отбор reference ~ контрольный образец replicate ~ повторная выборка representative ~ представительная выборка representative ~ репрезентативная выборка sample брать пробы ~ выборка ~ выборочная партия( товара, изделий) ~ выборочная партия ~ stat. выборочная совокупность ~ замер ~ образец, образчик;
book of samples альбом образцов ~ образец ~ образец товара ~ образчик ~ отбирать образцы, брать образчик или пробу ~ отбирать образцы ~ отбирать образцы или пробы ~ проба ~ пробовать, испытывать ~ производить выборку ~ шаблон, модель ~ шаблон ~ of data вчт. набор данных ~ of no value stat. непредставительная выборка ~ of no value stat. нерепрезентативная выборка single ~ однократная выборка singly censored ~ однократно цензурированная выборка small ~ малая выборка small ~ theory теория малых выборок stratified ~ районированная выборка stratified ~ расслоенная выборка stratified ~ типическая выборка systematic ~ систематическая выборка systematical ~ систематическая выборка test ~ образец для испытаний test ~ опытный образец test ~ пробный образец three-stage ~ трехступенчатая выборка trade ~ образец товара truncated ~ усеченная выборка two-stage ~ двухступенчатая выборка unbiased ~ беспристрастная выборка unbiased ~ несмещенная выборка unbiased ~ объективная выборка uncensored ~ нецензурированная выборка unordered ~ неупорядоченная выборка unrepresentative ~ непредставительная выборка unrepresentative ~ нерепрезентативная выборка unsolicited ~ образец, высланный без запроса
См. также в других словарях:
Theory of mind — is the ability to attribute mental states beliefs, intents, desires, pretending, knowledge, etc. to oneself and others and to understand that others have beliefs, desires and intentions that are different from one s own.[1] Though there are… … Wikipedia
Normal distribution — This article is about the univariate normal distribution. For normally distributed vectors, see Multivariate normal distribution. Probability density function The red line is the standard normal distribution Cumulative distribution function … Wikipedia
theory — A reasoned explanation of known facts or phenomena that serves as a basis of investigation by which to seek the truth. SEE ALSO: hypothesis, postulate. [G. theoria, a beholding, speculation, t., fr. theoros, a beholder] adsorption t. of narcosis… … Medical dictionary
Item response theory — In psychometrics, item response theory (IRT) is a body of theory describing the application of mathematical models to data from questionnaires and tests as a basis for measuring abilities, attitudes, or other variables. It is used for statistical … Wikipedia
De Broglie–Bohm theory — Quantum mechanics Uncertainty principle … Wikipedia
Attachment theory — … Wikipedia
Pearson's chi-squared test — (χ2) is the best known of several chi squared tests – statistical procedures whose results are evaluated by reference to the chi squared distribution. Its properties were first investigated by Karl Pearson in 1900.[1] In contexts where it is… … Wikipedia
United Kingdom driving test — The United Kingdom driving test is a test which all United Kingdom learner drivers must pass to obtain a full driving licence.[1] Different tests are available for users of different vehicles, from car drivers, to motorcyclists and HGV drivers.… … Wikipedia
probability theory — Math., Statistics. the theory of analyzing and making statements concerning the probability of the occurrence of uncertain events. Cf. probability (def. 4). [1830 40] * * * Branch of mathematics that deals with analysis of random events.… … Universalium
Multivariate normal distribution — MVN redirects here. For the airport with that IATA code, see Mount Vernon Airport. Probability density function Many samples from a multivariate (bivariate) Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the… … Wikipedia
Student's t-test — A t test is any statistical hypothesis test in which the test statistic follows a Student s t distribution if the null hypothesis is supported. It is most commonly applied when the test statistic would follow a normal distribution if the value of … Wikipedia
