John von Neumann

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John von Neumann [1]

John von Neumann, (December 28, 1903 – February 8, 1957)
a Hungarian-born American mathematician. Beside his contributions in a vast range of fields, he was a pioneer in game-theory and computer science and specially noted for the computer architecture with a single storage for instructions and data.

Chess

John von Neumann classified chess as two-player zero-sum game with perfect information and proved the minimax theorem in 1928. Since 1943 von Neumann was member of the Manhattan Project at the Los Alamos National Laboratory. In the early fifties von Neumann developed the MANIAC I computer. A group around Stanislaw Ulam, Paul Stein, Mark Wells and John Pasta developed the MANIAC I chess program, which could play Los Alamos chess [2] [3].

See also

Selected Publications

1920 ...

1930 ...

1940 ...

1950 ...

Harold W. Kuhn, Albert W. Tucker (eds) (1950). Contributions to the Theory of Games I. Princeton University Press
Harold W. Kuhn, Albert W. Tucker (eds) (1953). Contributions to the Theory of Games II. Princeton University Press
Harold W. Kuhn, Albert W. Tucker (eds) (1953). Contributions to the Theory of Games II. Princeton University Press

1955 ...

  • John von Neumann (1956). Probabilistic Logic and the Synthesis of Reliable Organisms From Unreliable Components. in
Claude Shannon, John McCarthy (eds.) (1956). Automata Studies. Annals of Mathematics Studies, No. 34, pp. 43–98, pdf

1960 ...

2000 ...

2010 ...

External Links

List of Things ...

References

  1. John von Neumann from Wikipedia
  2. Paul Stein, Stanislaw Ulam (1957). Experiments in chess on electronic computing machines. Chess Review, 13 January 1957.
  3. James Kister, Paul Stein, Stanislaw Ulam, William Walden, Mark Wells (1957). Experiments in Chess. Journal of the ACM, Vol. 4, No. 2
  4. Alexander Reinefeld (2005). Die Entwicklung der Spielprogrammierung: Von John von Neumann bis zu den hochparallelen Schachmaschinen. slides as pdf, Themen der Informatik im historischen Kontext Ringvorlesung an der HU Berlin, 02.06.2005 (English paper, German title)
  5. Middle-square method from Wikipedia

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