-
1 Morgan mill
-
2 mill
прокатный стан || прокатывать□ setting the mill — настройка стана
- 1-2 mill- 1-2-3 mill
- 1-2-3-4 mill
- 2-Hi universal type slabbing mill
- aluminium-cold mill
- aluminium-foil mill
- aluminum sheet mill
- armor-plate rolling mill
- armour-plate rolling mill
- Assel mill
- automatic mill
- automatic card-programmed rolling mill
- automatic plug-rolling mill
- balanced mill
- ball-rolling mill
- bar mill
- bar and shape mill
- barrel type roll piercing mill
- bar-rolling mill
- beam mill
- becking mill
- Belgian mill
- Belgian looping mill
- Belgian rod mill
- Belgian wire mill
- big mill
- billet mill
- blooming mill
- blooming-slabbing mill
- brass rolling mill
- break-down mill
- broad strip mill
- broadside mill
- butt-weld pipe mill
- close continuous mill
- cluster mill
- cogging mill
- coil-skin pass mill
- coil-temper mill
- cold-reducing mill
- cold-reduction mill
- cold-rolling mill
- cold-strip mill
- combination mill
- combination blooming-billet mill
- cone-roll piercing mill
- continuous mill
- continuous billet mill
- continuous butt-weld mill
- continuous hot-strip mill
- continuous repeater mill
- continuous rod mill
- continuous seamless-tube rolling mill
- continuous sheet-bar and billet mill
- continuous wide-strip hot mill
- continuous wire mill
- contour rolling mill
- conventional mill
- corrugating rolling mill
- cotton mill
- cross-country mill
- cross-country billet mill
- cross-country rolling mill
- descaling mill
- die rolling mill
- Diescher mill
- direct rolling mill
- disk mill
- double Belgian mill
- double duo mill
- double-stand rolling mill
- double-strand mill
- drag-over mill
- duo mill
- edger mill
- electric-weld pipe mill
- electronically operated mill
- expanding mill
- ferrous rolling mill
- finishing mill
- fishplate mill
- five-stand tandem mill
- flaking mill
- flat rolling mill
- flatting mill
- flat wire mill
- foil mill
- forming mill
- four-high mill
- four-high combination rolling mill
- four-high continuous hot strip mill
- four-high driven mill
- four-high reversing cold mill
- four-high reversing cold strip mill
- four-high rolling mill
- four-high tandem cold mill
- four-stand tandem mill
- four-stand tandem cold strip mill
- four-strand mill
- Fretz-Moon pipe mill
- Garret mill
- Garret looping rod mill
- Grey mill
- guide mill
- hand mill
- hand sheet mill
- heavy merchant mill
- heavy section mill
- high-lift blooming mill
- high-lift slabbing mill
- high-speed mill
- hoop mill
- hot mill
- hot-aluminium mill
- hot-pack mill
- hot-rolling mill
- hot-strip mill
- induction weld mill
- jobbing mill
- jobbing sheet-rolling mill
- jump mill
- lap-welded mill
- Lauth mill
- light-section mill
- looping mill
- looping merchant mill
- low-speed mill
- main mill
- mandrel mill
- Mannesmann mill
- Mannesmann piercing mill
- mechanized mill
- medium section mill
- medium wide-strip mill
- merchant mill
- merchant-bar mill
- metal powder rolling mill
- Morgan mill
- multiroll mill
- multistrand mill
- multistrand cold-tube rolling mill
- non-continuous rolling mill
- non-ferrous rolling mill
- non-reversing mill
- non-reversing rolling mill
- open continuous mill
- overhang roll type mill
- pack mill
- pass-over mill
- piercing mill
- pilger mill
- pilger seamless-tube mill
- pilgrim mill
- pinch pass mill
- pipe mill
- pipe and tube mill
- planetary hot mill
- planishing mill
- plate mill
- plug mill
- pony-roughing mill
- present day mill
- primary mill
- Properzi continuous casting and rolling mill
- puddle mill
- pull-over mill
- Puppe mill
- push mill
- quarto mill
- rail mill
- rail-and-structural steel mill
- rail-finishing mill
- rail-rerolling mill
- rail-slitting mill
- railway-wheel mill
- railway-wheel-and-tyre mill
- reducing mill
- reducing sizing mill
- reduction mill
- reeling mill
- reinforcing bar mill
- repiercing mill
- resistance weld mill
- revamped mill
- reversing mill
- reversing blooming mill
- reversing cold mill
- ring-rolling mill
- ring type cold-strip mill
- rockright mill
- rod mill
- rod repeater mill
- Roeckner tube rolling mill
- Rohn mill
- rolling mill
- rotary-rolling mill
- roughing mill
- run-down mill
- seamless-tube rolling mill
- section mill
- semi-continuous mill
- semi-continuous hot-strip mill
- semi-continuous wire-rod mill
- Sendzimir mill
- seven-stand forming mill
- shape mill
- shaping mill
- sheared plate mill
- sheet mill
- sheet-bar mill
- sheet-bar-and-billet mill
- sheet-skin pass mill
- sheet-temper mill
- single stand mill
- single strand mill
- sinking mill
- sinking-sizing mill
- six-high cluster mill
- six-roller mill
- sizing mill
- skelp mill
- skin mill
- slabbing mill
- small section mill
- solid wheel rolling mill
- spiral weld-pipe mill
- Steckel mill
- Stiefel mill
- stiff mill
- straddle type mill
- straight-away mill
- stretch-reducing mill
- strip mill
- structural mill
- supplementary mill
- tandem mill
- tandem cold mill
- tandem sheet mill
- tandem tin-plate mill
- taper mill
- temper mill
- tension reducing mill
- three-high mill
- three-high blooming mill
- three-high cogging mill
- three-high jobbing mill
- three-high rolling mill
- three-high roughing mill
- three-high shape mill
- three-high universal mill
- three-stand mill
- three-strand rod mill
- tie-plate mill
- tin mill
- tin-plate mill
- tire mill
- trio mill
- tube mill
- tube-forming mill
- tube-reducing mill
- tube-rolling mill
- tube stretch reducing mill
- tubular mill
- twelve-high reversing cluster mill
- twenty-high reversing cluster mill
- twenty-high roll mill
- two-high mill
- two-high blooming mill
- two-high cogging mill
- two-high combination rolling mill
- two-high plate mill
- two-high pull-over mill
- two-high reversing mill
- two-high reversing-beam mill
- two-high reversing-blooming mill
- two-high reversing-finishing mill
- two-high reversing-plate mill
- two-high rolling mill
- two-high sheet-rolling mill
- two-high universal mill
- two-stand mill
- two-stand tandem mill
- two-strand mill
- tyre mill
- unidirectional mill
- universal mill
- universal beam mill
- universal reversing-roughing mill
- universal roughing mill
- universal slabbing mill
- universal structural mill
- versatile precision-rolling mill
- welding mill
- welding-and-forming mill
- wheel-rolling mill
- wheel-web-rolling mill
- wide-flange beam mill
- wide-strip mill
- wire mill
- wire flattening mill
- wire-rod mill
- Y-mill
- Yoder pipe-and-tube mill -
3 Bibliography
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(1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.■ Wagman, M. (1998b). Language and thought in humans and computers: Theory and research in psychology, artificial intelligence, and neural science. Westport, CT: Praeger.■ Wagman, M. (1998c). The ultimate objectives of artificial intelligence: Theoretical and research foundations, philosophical and psychological implications. Westport, CT: Praeger.■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.■ Wagman, M. (2000). Scientific discovery processes in humans and computers: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.■ Weisberg, R. W. (1986). Creativity: Genius and other myths. New York: W. H. Freeman.■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifflin.■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.■ Winston, P. H. (Ed.) (1975). The psychology of computer vision. New York: McGrawHill.■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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4 построить по проекту
Русско-английский научно-технический словарь переводчика > построить по проекту
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5 Harris, Alanson
SUBJECT AREA: Agricultural and food technology[br]b. 1816 Ingersoll, Ontario, Canadad. 1894 Canada[br]Canadian manufacturer of agricultural machinery and co-founder of the Massey Harris Company (later Massey Ferguson).[br]Alanson Harris was the first often children born to the wife of a circuit rider and preacher. His father's wanderings left Alanson at an early age in charge of the running of the family farm on the Grand River in Canada; also, his father's preference was for tinkering with machines rather than for farming. However, when he was 13 Alanson had to go out to work in order to bring badly needed cash to augment the family income. He worked at a sawmill in the small village of Boston, becoming Boss Sawyer and then Foreman after ten years. In 1839 the family moved to Mount Pleasant, and the following year Alanson married Mary Morgan, the daughter of a well-to-do pioneer Welsh farmer. He entered into a brief partnership with his father to build a sawmill at Whiteman's Creek, but within a few months his father returned to preaching and Alanson became the sole proprietor. After a successful early period Alanson recognized the signs of decline in the timber market, and in 1857 he sold the mill, moved to Beamsville, Niagara, and bought a small factory from which he produced the flop-over hay rake invented by his father. In 1863 he took his eldest son into partnership; the latter returned from a visit to the United States with the sole rights to produce the Kirby mower and reaper. The Crimean War created a market for corn, which gave a great boost to North American farming and, in its turn, to machinery production. This was reinforced by the tariff agreements between the United States and Canada. By the 1880s Harris and Massey between them accounted for two thirds of the harvesting machines sold in Canada, and they also supplied machines abroad. By the end of the decade the mutual benefits of joining forces were apparent and by 1891 an agreement was reached, with Alanson Harris and A.H.Massey on the first board.[br]Further ReadingG.Quick and W.Buchele, 1978, The Grain Harvesters, American Society of Agricultural Engineers (refers to Harris and Massey Harris Company in its account of the development of harvest machinery).M.Denison, 1949, Harvest Triumphant: The Story of Massey Harris, London (gives a more detailed account of Massey Harris Company).AP -
6 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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