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

P.J.J. Herings; R.J.A.P. Peeters

doi:10.1007/s10479-005-2265-4

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

P.J.J. Herings^*
, R.J.A.P. Peeters

^*Corresponding author for this work

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Abstract

In this paper we present an algorithm to compute all nash equilibria for generic finite n-person games in normal form. 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 can be characterized by a system of polynomial equations and inequalities. By finding all the solutions to those systems, all equilibria are found. The algorithm belongs to the class of homotopy-methods and can be easily implemented. Finally, several techniques to speed up computations are proposed.

Original language	English
Pages (from-to)	349-368
Journal	Annals of Operations Research
Volume	137
DOIs	https://doi.org/10.1007/s10479-005-2265-4
Publication status	Published - 1 Jan 2005

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A globally convergent algorithm to compute all nash equilibria for n-person games
Herings, P. J. J. & Peeters, R. J. A. P., 1 Jan 2002, Maastricht: METEOR, Maastricht University School of Business and Economics, 23 p. (METEOR Research Memorandum; No. 053).
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abstract = "In this paper we present an algorithm to compute all nash equilibria for generic finite n-person games in normal form. 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 can be characterized by a system of polynomial equations and inequalities. By finding all the solutions to those systems, all equilibria are found. The algorithm belongs to the class of homotopy-methods and can be easily implemented. Finally, several techniques to speed up computations are proposed.",

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N2 - In this paper we present an algorithm to compute all nash equilibria for generic finite n-person games in normal form. 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 can be characterized by a system of polynomial equations and inequalities. By finding all the solutions to those systems, all equilibria are found. The algorithm belongs to the class of homotopy-methods and can be easily implemented. Finally, several techniques to speed up computations are proposed.

AB - In this paper we present an algorithm to compute all nash equilibria for generic finite n-person games in normal form. 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 can be characterized by a system of polynomial equations and inequalities. By finding all the solutions to those systems, all equilibria are found. The algorithm belongs to the class of homotopy-methods and can be easily implemented. Finally, several techniques to speed up computations are proposed.

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

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A globally convergent algorithm to compute all nash equilibria for n-person games

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