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21 цель
goal, mission, object, objective, radar target, target* * *цель ж.1. рлк. targetвзять цель ( на сопровождение) — acquire a target, take over a target for trackingзахва́тывать цель — lock on a targetимити́ровать цель — simulate a targetоблуча́ть цель — illuminate a targetобнару́живать цель — detect a targetопознава́ть цель — identify a targetопределя́ть координа́ты це́ли — locate a target in range and bearingсопровожда́ть цель — track a targetстроби́ровать цель по, напр. да́льности — gate a target in, e. g., range2. objective, purpose; service; targetприбо́р мо́жет быть испо́льзован для сле́дующих це́лей — the instrument can [will] offer the following services, the instrument can serve the following objective [purposes]группова́я цель — multiple targetка́жущаяся цель — virtual targetло́жная цель — false targetневи́димая цель — out-of-sight targetнеподви́жная цель — fixed [stationary] targetпрослу́шиваемая цель — audible targetпротяжё́нная цель — extended targetрадиолокацио́нная цель — radar targetрасщеплё́нная цель — split targetцель сло́жная (несоставна́я) — complex target (such as ship, aircraft, structures, which are large but smaller than the illuminated region)цель составна́я, протяжё́нная — compound target (target consisting of many independent scattering elements, such as rain, vegetation, which fill the volume illuminated by a pulse packet)то́чечная цель — pin-point targetтрёхме́рная цель — three-dimensional targetуединё́нная цель — isolated target -
22 и притом весьма сложным образом
И притом весьма сложным образом-- The stress gradients within the structures also change with time, and that in a profoundly complex way.Русско-английский научно-технический словарь переводчика > и притом весьма сложным образом
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23 первый шаг к пониманию
Первый шаг к пониманию-- As a first step toward understanding the complex fluid flow in heat exchanger cores it is helpful to identify flow structures which may affect the performance of this type of equipment.Русско-английский научно-технический словарь переводчика > первый шаг к пониманию
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24 удовлетворять критериям
Русско-английский научно-технический словарь переводчика > удовлетворять критериям
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25 Mafra, Palace and Convent of
One of the Iberian Peninsula's largest structures, Mafra Palace and Convent remains Portugal's most colossal historic monument-building. About 48 kilometers (30 miles) north-northwest of Lisbon, the complex is located in the town of Mafra, one of Portugal's most ancient settlements. First ordered built by the extravagant King João V in 1711, Mafra Palace was not completed until decades later by poorly paid labor. With perhaps the larger building of Phillip II of Spain's Escorial Palace and Convent in mind, King João V dedicated the rival enterprise to celebrating the birth of a child to his Austrian queen; this child, who was a girl, became queen of Spain. A veritable army of workers — at one time 45,000—constructed the massive building, which some thought would never be completed. In fact, after it was finally begun in 1717, the building was finished in 1735.The most extravagant project of João's expansive reign, Mafra Palace and Convent are heavy in style and spirit, but this is offset by the magnificent baroque library and the music that comes from the 50-bell carillon that is still in use. The wonders of Mafra can be imagined from just a few of the building figures; there are, for example, 5,200 doorways and 2,500 windows. Some of the wealth in royal coffers that paid for Mafra came from "the King's Fifth," out of the diamonds and gold in Portugal's richest colony, Brazil. The manner in which this historic monument is utilized not only as a tourist site, but also for a variety of other purposes, is a fascinating case of Portugal as a "museum-state." Mafra today provides space for two museums, offices of the Mafra City Hall (Câmara Municipal), an elementary school, and an army regiment. It is also used as a church.Historical dictionary of Portugal > Mafra, Palace and Convent of
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26 line management
(U.K.) Gen Mgt, HRa hierarchical chain of command from executive to front-line level. Line management is the oldest and least complex management structure, in which top management have total and direct authority and employees report to only one supervisor. Managers in this type of organization structure have direct responsibility for giving orders to their subordinates. Line management structures are usually organized along functional lines, although they increasingly undertake a variety of cross-functional duties such as employee development or strategic direction. The lowest managerial level in an organization following a line management structure is supervisory management. -
27 Computers
The brain has been compared to a digital computer because the neuron, like a switch or valve, either does or does not complete a circuit. But at that point the similarity ends. The switch in the digital computer is constant in its effect, and its effect is large in proportion to the total output of the machine. The effect produced by the neuron varies with its recovery from [the] refractory phase and with its metabolic state. The number of neurons involved in any action runs into millions so that the influence of any one is negligible.... Any cell in the system can be dispensed with.... The brain is an analogical machine, not digital. Analysis of the integrative activities will probably have to be in statistical terms. (Lashley, quoted in Beach, Hebb, Morgan & Nissen, 1960, p. 539)It is essential to realize that a computer is not a mere "number cruncher," or supercalculating arithmetic machine, although this is how computers are commonly regarded by people having no familiarity with artificial intelligence. Computers do not crunch numbers; they manipulate symbols.... Digital computers originally developed with mathematical problems in mind, are in fact general purpose symbol manipulating machines....The terms "computer" and "computation" are themselves unfortunate, in view of their misleading arithmetical connotations. The definition of artificial intelligence previously cited-"the study of intelligence as computation"-does not imply that intelligence is really counting. Intelligence may be defined as the ability creatively to manipulate symbols, or process information, given the requirements of the task in hand. (Boden, 1981, pp. 15, 16-17)The task is to get computers to explain things to themselves, to ask questions about their experiences so as to cause those explanations to be forthcoming, and to be creative in coming up with explanations that have not been previously available. (Schank, 1986, p. 19)In What Computers Can't Do, written in 1969 (2nd edition, 1972), the main objection to AI was the impossibility of using rules to select only those facts about the real world that were relevant in a given situation. The "Introduction" to the paperback edition of the book, published by Harper & Row in 1979, pointed out further that no one had the slightest idea how to represent the common sense understanding possessed even by a four-year-old. (Dreyfus & Dreyfus, 1986, p. 102)A popular myth says that the invention of the computer diminishes our sense of ourselves, because it shows that rational thought is not special to human beings, but can be carried on by a mere machine. It is a short stop from there to the conclusion that intelligence is mechanical, which many people find to be an affront to all that is most precious and singular about their humanness.In fact, the computer, early in its career, was not an instrument of the philistines, but a humanizing influence. It helped to revive an idea that had fallen into disrepute: the idea that the mind is real, that it has an inner structure and a complex organization, and can be understood in scientific terms. For some three decades, until the 1940s, American psychology had lain in the grip of the ice age of behaviorism, which was antimental through and through. During these years, extreme behaviorists banished the study of thought from their agenda. Mind and consciousness, thinking, imagining, planning, solving problems, were dismissed as worthless for anything except speculation. Only the external aspects of behavior, the surface manifestations, were grist for the scientist's mill, because only they could be observed and measured....It is one of the surprising gifts of the computer in the history of ideas that it played a part in giving back to psychology what it had lost, which was nothing less than the mind itself. In particular, there was a revival of interest in how the mind represents the world internally to itself, by means of knowledge structures such as ideas, symbols, images, and inner narratives, all of which had been consigned to the realm of mysticism. (Campbell, 1989, p. 10)[Our artifacts] only have meaning because we give it to them; their intentionality, like that of smoke signals and writing, is essentially borrowed, hence derivative. To put it bluntly: computers themselves don't mean anything by their tokens (any more than books do)-they only mean what we say they do. Genuine understanding, on the other hand, is intentional "in its own right" and not derivatively from something else. (Haugeland, 1981a, pp. 32-33)he debate over the possibility of computer thought will never be won or lost; it will simply cease to be of interest, like the previous debate over man as a clockwork mechanism. (Bolter, 1984, p. 190)t takes us a long time to emotionally digest a new idea. The computer is too big a step, and too recently made, for us to quickly recover our balance and gauge its potential. It's an enormous accelerator, perhaps the greatest one since the plow, twelve thousand years ago. As an intelligence amplifier, it speeds up everything-including itself-and it continually improves because its heart is information or, more plainly, ideas. We can no more calculate its consequences than Babbage could have foreseen antibiotics, the Pill, or space stations.Further, the effects of those ideas are rapidly compounding, because a computer design is itself just a set of ideas. As we get better at manipulating ideas by building ever better computers, we get better at building even better computers-it's an ever-escalating upward spiral. The early nineteenth century, when the computer's story began, is already so far back that it may as well be the Stone Age. (Rawlins, 1997, p. 19)According to weak AI, the principle value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion than before. But according to strong AI the computer is not merely a tool in the study of the mind; rather the appropriately programmed computer really is a mind in the sense that computers given the right programs can be literally said to understand and have other cognitive states. And according to strong AI, because the programmed computer has cognitive states, the programs are not mere tools that enable us to test psychological explanations; rather, the programs are themselves the explanations. (Searle, 1981b, p. 353)What makes people smarter than machines? They certainly are not quicker or more precise. Yet people are far better at perceiving objects in natural scenes and noting their relations, at understanding language and retrieving contextually appropriate information from memory, at making plans and carrying out contextually appropriate actions, and at a wide range of other natural cognitive tasks. People are also far better at learning to do these things more accurately and fluently through processing experience.What is the basis for these differences? One answer, perhaps the classic one we might expect from artificial intelligence, is "software." If we only had the right computer program, the argument goes, we might be able to capture the fluidity and adaptability of human information processing. Certainly this answer is partially correct. There have been great breakthroughs in our understanding of cognition as a result of the development of expressive high-level computer languages and powerful algorithms. However, we do not think that software is the whole story.In our view, people are smarter than today's computers because the brain employs a basic computational architecture that is more suited to deal with a central aspect of the natural information processing tasks that people are so good at.... hese tasks generally require the simultaneous consideration of many pieces of information or constraints. Each constraint may be imperfectly specified and ambiguous, yet each can play a potentially decisive role in determining the outcome of processing. (McClelland, Rumelhart & Hinton, 1986, pp. 3-4)Historical dictionary of quotations in cognitive science > Computers
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28 Schemata
Once we have accepted a configuration of schemata, the schemata themselves provide a richness that goes far beyond our observations.... In fact, once we have determined that a particular schema accounts for some event, we may not be able to determine which aspects of our beliefs are based on direct sensory information and which are merely consequences of our interpretation. (Rumelhart, 1980, p. 38)Through most of its history, the notion of the schema has been rejected by mainstream experimental psychologists as being too vague. As a result, the concept of the schema was largely shunned until the mid-1970s. The concept was then revived by an attempt to offer more clearly specified interpretation of the schema in terms of explicitly specified computer implementations or, similarly, formally specified implementations of the concept. Thus, Minsky (1975) postulated the concept of the frame, Schank and Abelson (1977) focused on the concept of the script, and Bobrow and Norman (1975) and Rumelhart (1975) developed an explicit notion of the schema. Although the details differed in each case, the idea was essentially the same.... Minsky and the others argued that some higher-level "suprasentential" or, more simply, conceptual structure is needed to represent the complex relations implicit in our knowledge base. The basic idea is that schemata are data structures for representing the generic concepts stored in memory. There are schemata for generalized concepts underlying objects, situations, events, sequences of events, actions, and sequences of actions. Roughly, schemata are like models of the outside world. To process information with the use of a schema is to determine which model best fits the incoming information. Ultimately, consistent configurations of schemata are discovered which, in concert, offer the best account for the input. This configuration of schemata together constitutes the interpretation of the input. (Rumelhart, Smolensky, McClelland & Hinton, 1986, pp. 17-18)Historical dictionary of quotations in cognitive science > Schemata
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