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John von Neumann

proper nounAlso: Neumann János, Johnny von Neumann

In plain wordsA Hungarian-American mathematician who shaped the design of modern computers, co-founded game theory, and is the first person known to have spoken of a coming technological 'singularity'.

  1. Hungarian-born American mathematician, from 1933 a professor at the Institute for Advanced Study in Princeton, whose work spans quantum mechanics, game theory and computing. He proved the minimaxminimax, n.: A way for a game-playing program to choose moves by assuming the opponent will always make their best reply, and picking the move whose worst-case outcome is best. theorem for two-player zero-sum games (1928) and, with Oskar Morgenstern, wrote 'Theory of Games and Economic Behavior' (1944). His 'First Draft of a Report on the EDVAC' (1945) described the stored-program design now called the von Neumann architecture, and at Los Alamos he developed the Monte Carlo methodMonte Carlo method, n.: Estimating an answer by running many random trials and averaging the results — like estimating the odds in a card game by dealing thousands of hands instead of calculating. with Stanislaw Ulam. Later work on self-reproducing cellular automata anticipated artificial lifeartificial life, n.: The study of life by building lifelike systems — in computer simulations, robots or chemistry — to learn how living things organize themselves, reproduce and evolve, and what other kinds of life could exist., and his unfinished lectures 'The Computer and the Brain' (published 1958) compared digital and neural computation. Ulam recalled a conversation in which von Neumann spoke of accelerating technological progress approaching an essential 'singularity' in human history, the earliest known use of the idea behind the technological singularitytechnological singularity, n.: A moment some people expect in the future when technology, usually AI smarter than us, starts changing the world so fast and so deeply that we cannot see past it..

Related

See also
  • minimaxminimax, n.: A way for a game-playing program to choose moves by assuming the opponent will always make their best reply, and picking the move whose worst-case outcome is best.
  • Monte Carlo methodMonte Carlo method, n.: Estimating an answer by running many random trials and averaging the results — like estimating the odds in a card game by dealing thousands of hands instead of calculating.
  • technological singularitytechnological singularity, n.: A moment some people expect in the future when technology, usually AI smarter than us, starts changing the world so fast and so deeply that we cannot see past it.
  • artificial lifeartificial life, n.: The study of life by building lifelike systems — in computer simulations, robots or chemistry — to learn how living things organize themselves, reproduce and evolve, and what other kinds of life could exist.
  • cyberneticscybernetics, n.: The study of how animals, machines and organizations steer themselves using feedback: sensing the result of an action and correcting course. It was both a parent and an early rival of AI.
  • Alan TuringAlan Turing, prop. n.: A British mathematician who worked out what computers can do in principle, helped break German codes in the Second World War, and proposed the best-known test of machine intelligence.

Sources

  1. von Neumann, J. & Morgenstern, O. (1944). Theory of Games and Economic Behavior. Princeton University Press.
  2. von Neumann, J. (1945). First Draft of a Report on the EDVAC. Moore School of Electrical Engineering, University of Pennsylvania.
  3. Ulam, S. (1958). John von Neumann, 1903–1957. Bulletin of the American Mathematical Society 64(3, part 2): 1–49.

Mentioned in

technological singularitytechnological singularity, n.: A moment some people expect in the future when technology, usually AI smarter than us, starts changing the world so fast and so deeply that we cannot see past it., Norbert WienerNorbert Wiener, prop. n.: An American mathematician who founded cybernetics, the study of feedback and control in animals and machines, and warned early that machines might pursue goals we did not truly intend.