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A Globally Convergent Algorithm to Compute All Nash Equilibria of n-Person Games

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Author Info
Herings,Jean-Jacques
Peeters,Ronald (METEOR)

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Abstract

In this paper an algorithm is presented to compute all Nash equilibria for games in normal form on the only premises that the number of Nash equilibria is finite. The algorithm relies on decomposing the game by means of support-sets. For each support-set, the set of totally mixed equilibria of the support-restricted game that results by restricting the players to strategies in the support-set can be characterized by a system of polynomial equations and inequalities. By solving those systems for each support-set, all equilibria are found. The algorithm belongs to the class of homotopy-methods and is implementable. Finally, several techniques to speed up computations are proposed.

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Publisher Info
Paper provided by Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization in its series Research Memoranda with number 084.

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Date of creation: 2002
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Handle: RePEc:dgr:umamet:2002084

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Keywords: Economics ;

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  1. Kolen, Antoon, 2006. "A genetic algorithm for the partial binary constraint satisfaction problem: an application to a frequency assignment problem," Research Memoranda 045, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization. [Downloadable!]
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This page was last updated on 2009-11-18.


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