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A large part of mathematics which becomes useful developed with absolutely no desire to be useful, and in a situation where nobody could possibly kno… - John von Neumann
" "A large part of mathematics which becomes useful developed with absolutely no desire to be useful, and in a situation where nobody could possibly know in what area it would become useful; and there were no general indications that it ever would be so.
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About John von Neumann
John von Neumann (28 December 1903 – 8 February 1957) was a Hungarian-American-Jewish mathematician, physicist, inventor, computer scientist, and polymath. He made major contributions to a number of fields, including mathematics (foundations of mathematics, functional analysis, ergodic theory, geometry, topology, and numerical analysis), physics (quantum mechanics, hydrodynamics and quantum statistical mechanics), economics (game theory), computing (Von Neumann architecture, linear programming, self-replicating machines, stochastic computing), and statistics.
Biography information from Wikiquote
Also Known As
Native Name:
margittai Neumann János Lajos
Also Known As:
Good Time Johnny
Alternative Names:
John Von Neumann
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Janos Lajos Neumann
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János Lajos Neumann
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von Neumann
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Neumann János Lajos
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John Louis von Neumann
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János Neumann
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Additional quotes by John von Neumann
The classical definitions of free competition all involve further postulates besides the greatness of that number. E.g., it is clear that if certain great groups of participants will — for any reason whatsoever — act together, then the great number of participants may not become effective; the decisive exchanges may take place directly between large “coalitions,”1 few in number, and not between individuals, many in number, acting independently. Our subsequent discussion of “games of strategy” will show that the role and size of “coalitions” is decisive throughout the entire subject.
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As he describes each mechanism in the brain, he shows how a modern computer could accomplish the same operation, despite the apparent differences. The brain’s analog mechanisms can be simulated through digital ones because digital computation can emulate analog values to any desired degree of precision (and the precision of analog information in the brain is quite low).
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