[Home]Game theory

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Though touched on by earlier mathematical results, modern game theory became a prominent branch of mathematics in the 1940s, especially after the 1944 publication of The Theory of Games and Economic Behavior by John von Neumann and [Oskar Morgenstern]?. Game theory differs from the related field of economics in that it seeks to find rational strategies in situations where the outcome depends not only on one's own strategy and "market conditions", but upon the strategies chosen by other players with possibly different or overlapping goals.

As with economics, the results can be applied to simple games of entertainment or to more significant aspects of life and society. An example of the latter is the prisoner's dilemma as popularized by mathematician [Albert W. Tucker]?, which has many implications about the nature of human cooperation. Biologists have used game theory to understand and predict certain outcomes of evolution, such as the concept of evolutionarily stable strategy introduced by John Maynard Smith in his essay Game Theory and the Evolution of Fighting. See also Maynard Smith's book Evolution and the Theory of Games.

Game theory classifies games into many categories that determine which particular methods can be applied to solving them (and indeed how one defines "solved" for a particular category). Some common categories are:

Other branches of mathematics, in particular probability and statistics, are commonly used in conjuction with game theory to analyse many games.

See also Mathematical games


Further Reading:


A version of this page has been translated into [Portuguese].
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Edited November 1, 2001 1:02 am by Zundark (diff)
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