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121 kura
[n., adj.]darling; treasure; precious————————[n.]school; course (education)————————[n.]valued possession; value————————red; red feather (basic red - primary colour) -
122 закон
юр.law; (акт) act, statuteвводить законы — to make / to introduce laws
вводить закон в действие — to enact / to implement the law, to put the law into effect / operation
вступать в силу как закон — to become law, to enter in force
вступить в противоречие с законом — to come into conflict with law, to contradict the law
изымать из-под действия закона — to except from operation of the law, to exempt
нарушать закон — to break / to infringe / to contravene / to violate / to disobey a law
издать закон — to make / to issue a law обнародовать закон to promulgate / to issue the law
обходить закон — to evade the law, to go beyond the law
отменять закон — to abrogate / to annul / to repeal an act / a law, to abate a law
преступать закон — to transgress / to violate / to break the law
принимать закон — to adopt / to pass legislation / a law
соблюдать закон — to follow / to observe / to abide by / to comply with the law
устанавливать законом — to establish by decree / law
эти законы скорее разрешают, чем предписывают — these laws are permissive rather than mandatory
соответствующий закону, установленный законом — statutory
действующие законы — laws in force / vigour, active laws
драконовские законы — Draconic / harsh / rigorous laws
избирательный закон — election / electoral law
неписаный закон — imperscriptible law / right, unwritten code / law
непреложный закон — indefeasible law, unalterable law
основной закон — fundamental / basic law
введение закона в силу, принятие закона — enactment
законы об охоте — hunting / game laws
закон о приостановке конституционных гарантий — Coercion Act / Bill
закон о пэрстве (1963 г., предоставляет право пэрам на отказ от титула, что даёт им возможность баллотироваться в палату общин, Великобритания) — Peerage Act
закон об обороне — defence act, act of defence
закон об образовании новой "территории" или превращении "территории" в штат (США) — organic act
закон об освобождении от уголовной ответственности (Великобритания) — Act / Bill of Indemnity
нарушение закона — offence against the law, breach / contravention / infringement / transgression / violation of the law
в нарушение законов — in contravention / violation of the law
несоблюдение / неисполнение законов — failure to comply with the laws
отмена закона — abrogation / repeal of the law
подписание закона (президентом, королём) — enactment
постановляющая часть / преамбула закона — enacting clause
свод законов — code, code of laws, statute book; corpus juris лат.
вопреки закону — against / contrary / in spite of the law, unlawfully
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123 теория неразложимых экономик
Маккензи (1959) разработал теорию неразложимых экономик, которая гарантирует, что в квазиравновесии условие (более) дешевого потребления выполняется для каждого потребителя (и поэтому квазиравновесие является равновесием). В неформальном описании основная идея заключается в том, что экономика неразложима, если, независимо от способа разбиения экономики на две группы, у каждой группы есть нечто такое, на что другая группа готова обменять нечто своё. — McKenzie (1959) has developed a theory of indecomposable economies that guarantees that at a quasiequilibrium the cheaper consumption condition is satisfied for every consumer (and therefore the quasiequilibrium is an equilibrium). The basic idea, informally described, is that an economy is indecomposable if, no matter how we partition the economy into two groups, each of the groups has something for which the other group is willing to exchange something of its own.
теория обучения, дисциплинарная — discipline-based teaching theory
Цель дисциплинарной теории обучения заключается в том, чтобы придавать определенной дисциплине конкретный учебный формат и оценивать практическую ценность теоретически детерминированных концепций обучения в конкретных учебных ситуациях. — The objective of discipline-based teaching theory is to give the particular discipline a concrete teaching format and to judge the practical value of the theoretically determined teaching concepts in concrete teaching situations.
Russian-English Dictionary "Microeconomics" > теория неразложимых экономик
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124 ἐλαία
Grammatical information: f.Compounds: Because of the economic value of the oil and the olivetree there are many compounds, esp. since hellen. times. As 1. member ἐλαιο- refers not only to ἔλαιον, but also to ἐλαία, e. g. ἐλαιό-φυτος `planted with olives' (A.). As 2. member in bahuvrihi, e. g. ἄν-ελαιος `without oil, olives' (Thphr., Str.); in determinatives, e. g. ἀγρι-έλαιος = ἄγριος ἔλαιος (Thpr. usw.), χαμ-ελαία `Daphne oleoides' (Nic.), cf. Risch IF 59, 257, Strömberg Pflanzennamen 110; γλυκ-έλαιον `sweet-oil', ὑδρ-έλαιον "wateroil", i. e. `oil mixed with water' (late).Derivatives: ἔλαιον n. `olive-oil, oil in general' (Il.); on the pair ἐλαία (- ος): ἔλαιον, for the tree resp. the product, s. Wackernagel Syntax 2, 17, Schwyzer-Debrunner 30. Substantiva: ἐλᾱΐς f., acc. pl. ἐλᾳ̃δας `olive-trees' (Att.; s. Chantr. Form. 344), diminut. ἐλᾳδιον (- ίδιον) `small olive-tree', also (from ἔλαιον) `a little oil' (Com., pap.); ἐλαιών, - ῶνος m. `thicket of olives' (LXX, pap.), `the olive mountain' (NT, J.), diminut. ἐλαιωνίδιον (pap.); ἐλαιεύς `id.' (Chalkis; s. Boßhardt Die Nom. auf - ευς 21f.). Adj. ἐλαίϊνος, ἐλά̄ϊνος `of olive -wood, belonging to the olive' (Il.), `of olive-oil' (Orph. L. 717); - ίνεος `of olive-wood' (ι 320 and 394; metrically easy contamination of - ινος and - εος, Risch Wortbildung 122, Schmid -εος und -ειος 38); ἐλαϊκός `of olive' (Aristeas, pap.); ἐλαιηρός `regarding oil' (Hp., Pl., pap. ; s. Chantraine 232); ἐλαιώδης `oily' (Hp., Arist.); ἐλαιήεις `belonging to the olive' (S.; on the formation Schwyzer 527). Denomin. verbs: ἐλαΐζω `cultivate olives' with ἐλαιστήρ, - τής `collector of olives' (Poll.) and ἐλαιστήριον `olive-press' (Mylasa); ἐλαιόομαι `be oiled' (Arist.) with ἐλαίωσις (Zos. Alch.).Origin: PG [a word of Pre-Greek origin]Etymology: Lat. olīva, from Greek, proves a basic *ἐλαίϜᾱ, with *ἔλαιϜον to Lat. oleum. From Latin all European forms (s. W.-Hofmann 2, 205f.). On itself Arm. ewɫ `oil', which comes together with ἐλαία, ἔλαιον from a Mediterranaean source (Crete?, s. W.-Hofmann s. v.). See Bq. - The word is no doubt a Pre-Greek word.Page in Frisk: 1,480Greek-English etymological dictionary (Ελληνικά-Αγγλικά ετυμολογική λεξικό) > ἐλαία
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125 kura
[n., adj.]darling; treasure; precious————————[n.]school; course (education)————————[n.]valued possession; value————————red; red feather (basic red - primary colour) -
126 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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127 внутригородской район
внутригородской район
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[ http://www.eionet.europa.eu/gemet/alphabetic?langcode=en]EN
inner city
1) Part of a city at or near the centre, especially a slum area where poor people live in bad housing.
2) City centres of many industrialized countries which exhibit environmental degradation. The numerous and highly competitive activities entailing land use overwhelm the limited space and create a situation of overcrowding, functional incompatibility and cultural degradation. Inner city areas have a high level of commercial specialization, a large number of offices and a sizeable daytime population. At the same time, city centres generally remain a sort of ghetto for a permanent, low-income population living in run-down housing and enjoying little in the way of public services and civic amenities. The concentration of service industries inevitably entails the replacement of traditional housing and shops by office blocks, the provision of basic utilities at the expense of civic amenities and the provision of major access roads which eat up urban space. Structures of historic origin are often unable to meet modern requirements and, notwithstanding their value, frequently face demolition.
(Source: PHC / WPR)
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Русско-английский словарь нормативно-технической терминологии > внутригородской район
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