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1 rigorous
adjective1) (strict) streng; rigoros [Methode, Maßnahme, Beschränkung, Strenge]2) (marked by extremes) hart [Leben, Bedingungen]3) (precise) peinlich [Genauigkeit, Beachtung]; exakt [Analyse]; streng [Beurteilung, Maßstab]; schlüssig [Argumentation]* * *1) (strict: a rigorous training.) streng2) (harsh; unpleasant: a rigorous climate.) rauh* * *rig·or·ous[ˈrɪgərəs, AM -gɚ-]\rigorous testing gründliches Testenshe is a \rigorous vegetarian sie lebt strikt vegetarisch\rigorous discipline strenge Disziplin3. (physically demanding) hart\rigorous training hartes Training4. (harsh)\rigorous climate/weather raues Klima/Wetter* * *['rIgərəs]adj1) (= strict) person, character, discipline, rule, structure, method streng, strikt; measures rigoros; (= thorough) book-keeping, work peinlich genau; analysis, tests gründlichwith rigorous precision/accuracy — mit äußerster Präzision/peinlicher Genauigkeit
they were rigorous in controlling expenditure —
he was a very rigorous teacher he is rigorous about quality — er war ein Lehrer, der es sehr genau nahm er ist sehr streng, wenn es um Qualität geht
2) (= harsh) climate streng* * *rigorous [ˈrıɡərəs] adj (adv rigorously)1. rigoros, streng, hart (Maßnahmen etc)2. (peinlich) genau, exakt, strikt:rigorous accuracy peinliche Genauigkeit3. a) streng, hart (Winter)b) rau, unfreundlich (Klima etc)* * *adjective1) (strict) streng; rigoros [Methode, Maßnahme, Beschränkung, Strenge]2) (marked by extremes) hart [Leben, Bedingungen]3) (precise) peinlich [Genauigkeit, Beachtung]; exakt [Analyse]; streng [Beurteilung, Maßstab]; schlüssig [Argumentation]* * *adj.hart adj.streng adj. -
2 Kirkaldy, David
[br]b. 4 April 1820 Mayfield, Dundee, Scotlandd. 25 January 1897 London, England[br]Scottish engineer and pioneer in materials testing.[br]The son of a merchant of Dundee, Kirkaldy was educated there, then at Merchiston Castle School, Edinburgh, and at Edinburgh University. For a while he worked in his father's office, but with a preference for engineering, in 1843 he commenced an apprenticeship at the Glasgow works of Robert Napier. After four years in the shops he was transferred to the drawing office and in a very few years rose to become Chief. Here Kirkaldy demonstrated a remarkable talent both for the meticulous recording of observations and data and for technical drawing. His work also had an aesthetic appeal and four of his drawings of Napier steamships were shown at the Paris Exhibition of 1855, earning both Napier and Kirkaldy a medal. His "as fitted" set of drawings of the Cunard Liner Persia, which had been built in 1855, is now in the possession of the National Maritime Museum at Greenwich, London; it is regarded as one of the finest examples of its kind in the world, and has even been exhibited at the Royal Academy in London.With the impending order for the Royal Naval Ironclad Black Prince (sister ship to HMS Warrior, now preserved at Portsmouth) and for some high-pressure marine boilers and engines, there was need for a close scientific analysis of the physical properties of iron and steel. Kirkaldy, now designated Chief Draughtsman and Calculator, was placed in charge of this work, which included comparisons of puddled steel and wrought iron, using a simple lever-arm testing machine. The tests lasted some three years and resulted in Kirkaldy's most important publication, Experiments on Wrought Iron and Steel (1862, London), which gained him wide recognition for his careful and thorough work. Napier's did not encourage him to continue testing; but realizing the growing importance of materials testing, Kirkaldy resigned from the shipyard in 1861. For the next two and a half years Kirkaldy worked on the design of a massive testing machine that was manufactured in Leeds and installed in premises in London, at The Grove, Southwark.The works was open for trade in January 1866 and engineers soon began to bring him specimens for testing on the great machine: Joseph Cubitt (son of William Cubitt) brought him samples of the materials for the new Blackfriars Bridge, which was then under construction. Soon The Grove became too cramped and Kirkaldy moved to 99 Southwark Street, reopening in January 1874. In the years that followed, Kirkaldy gained a worldwide reputation for rigorous and meticulous testing and recording of results, coupled with the highest integrity. He numbered the most distinguished engineers of the time among his clients.After Kirkaldy's death, his son William George, whom he had taken into partnership, carried on the business. When the son died in 1914, his widow took charge until her death in 1938, when the grandson David became proprietor. He sold out to Treharne \& Davies, chemical consultants, in 1965, but the works finally closed in 1974. The future of the premises and the testing machine at first seemed threatened, but that has now been secured and the machine is once more in working order. Over almost one hundred years of trading in South London, the company was involved in many famous enquiries, including the analysis of the iron from the ill-fated Tay Bridge (see Bouch, Sir Thomas).[br]Principal Honours and DistinctionsInstitution of Engineers and Shipbuilders in Scotland Gold Medal 1864.Bibliography1862, Results of an Experimental Inquiry into the Tensile Strength and Other Properties of Wrought Iron and Steel (originally presented as a paper to the 1860–1 session of the Scottish Shipbuilders' Association).Further ReadingD.P.Smith, 1981, "David Kirkaldy (1820–97) and engineering materials testing", Transactions of the Newcomen Society 52:49–65 (a clear and well-documented account).LRD / FMW -
3 close
1. v закрыватьclose down — закрывать, прекращать работу
2. a закрытый; ограниченный; замкнутыйclose season — время, когда охота запрещена;
3. n огороженное стеной место4. n обыкн. соборная площадь; огороженная территорияbreach of close — нарушение владения, неправомерный заход на территорию чужого владения
5. n площадка для игр6. n шотл. ход со двора7. n тупик8. a замкнутый, уединённыйto keep oneself close — держаться замкнуто; жить уединённо
9. a тайный, скрытый10. a скрытный, сдержанный11. a строго охраняемыйclose guarding — плотное держание, строгая опека
12. v закрываться13. v эл. замыкать14. v мор. задраиватьhis attitude closed the door to further negotiations — его позиция отрезала путь к дальнейшим переговорам
15. n конец; заключение, завершение16. n закрытие, окончание работы17. n муз. каданс18. v заканчивать, завершать; заключать19. v заканчиваться; завершаться20. v договариватьсяto close a bargain — договориться, заключить сделку
21. v принятьI offered him six pounds and he closed with it — я предложил ему шесть фунтов, и он согласился
22. v воен. войти в соприкосновение23. a близкий; находящийся недалеко; расположенный недалекоclose pass — пролёт на небольшом расстоянии, близкий пролёт
close set — тесно расположенный; сплошной
24. a близкий, интимный25. a тесный, близкий26. a плотный, компактный; тесный27. a хорошо пригнанный; плотный28. a облегающий29. a сжатый30. a краткий и содержательный31. a убористыйclose print — убористая печать, плотный набор
32. a душный, спёртый33. a тщательный; подробный34. a точный35. a скупой, скаредный36. a почти равныйclose vote — почти равное количество голосов «за» и «против»
37. a разг. трудно достающийся, ограниченный38. a разг. скуповатый39. a разг. арх. строгий, суровый40. a разг. редк. вязкий; нелетучий41. a разг. спорт. осторожный42. a разг. кино. крупный43. adv близкоclose at hand — близко, рядом, под рукой; рукой подать
close prices — цены, близкие по уровню
44. adv коротко45. v подходить близко, сближаться, смыкатьсяthe ship sank and the water closed over it — корабль затонул, и воды сомкнулись над ним
46. v спорт. воен. сомкнутьwe must close the ranks to secure peace — мы должны сплотиться, чтобы обеспечить мир
Синонимический ряд:1. accurate (adj.) accurate; exact; faithful; full; lifelike; meticulous; minute; precise; rigorous; scrupulous; strict2. akin (adj.) akin; similar3. attentive (adj.) attentive; keen; vigilant4. confined (adj.) compact; confined; confining; congested; cramped; crowded; dense; firm; impenetrable; narrow; packed; restricted; solid; thick5. intimate (adj.) attached; bosom; chummy; confidential; dear; devoted; familiar; friendly; intimate; physical; trusted6. near (adj.) a stone's throw; adjacent; adjoining; immediate; imminent; impending; near; near at hand; near-at-hand; nearby; neighboring; neighbouring; nigh; proximate7. oppressive (adj.) airless; breathless; heavy; muggy; oppressive; stifling; stivy; stuffy; suffocating; sultry; sweltering; unventilated; warm8. painstaking (adj.) assiduous; concentrated; constant; earnest; fixed; intense; intent; painstaking9. silent (adj.) close-lipped; closemouthed; close-mouthed; close-tongued; dumb; incommunicative; inconversable; reserved; reticent; secretive; shut-mouthed; silent; silentious; speechless; taciturn; tight-lipped; tight-mouthed; uncommunicative; withdrawn; wordless10. stingy (adj.) cheap; cheeseparing; closefisted; close-fisted; costive; hardfisted; hardhanded; ironfisted; mean; mingy; miserly; narrow-fisted; narrowhearted; niggard; niggardly; parsimonious; penny-pinching; penny-wise; penurious; pinching; pinchpenny; save-all; scrimpy; scrimy; stingy; tightfisted; ungenerous; ungiving11. tight (adj.) taut; tense; tight12. court (noun) atrium; court; courtyard; enclosure; quad; quadrangle; yard13. end (noun) adjournment; cease; cessation; closing; closure; completion; conclusion; consummation; desistance; desuetude; discontinuance; discontinuation; end; ending; finale; finish; last; period; stop; termination; terminus; windup; wrap-up14. joining (noun) connection; joining; junction; union15. adjourn (verb) adjourn; recess16. close in on (verb) approach; close in on; come closer; come together; draw near; narrow; near17. complete (verb) cease; complete; conclude; consummate; culminate; determine; do; end; halt; terminate; ultimate; wind up; wrap up18. decrease (verb) abate; bate; decrease; diminish; drain away; dwindle; lessen; peak out; peter out; rebate; recede; reduce; taper; taper off19. fill (verb) barricade; block; choke; clog; congest; fill; jam; occlude; plug; stop; stop up; stopper20. hide (verb) block out; hide; obscure; obstruct; screen; shroud; shut off; shut out21. join (verb) bind; connect; finish; fuse; join; link; tie; unite22. meet (verb) assemble; cluster; collect; congregate; convene; converge; encounter; face; front; gather; get together; group; meet; muster23. shut (verb) bolt; enclose; fasten; latch; lock; put to; seal; secure; shut; slam24. at close hand (other) at close hand; hard; near; nearby; nighАнтонимический ряд:ample; away; begin; beginning; beyond; careless; detached; distant; far; frank; liberal; open; open-handed; patent; public; release; separate; spacious -
4 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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