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Computing equilibria for two-person games

In: Handbook of Game Theory with Economic Applications

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Von Stengel, Bernhard

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Abstract

This paper is a self-contained survey of algorithms for computing Nash equilibria of two-person games. The games may be given in strategic form or extensive form. The classical Lemke-Howson algorithm finds one equilibrium of a bimatrix game, and provides an elementary proof that a Nash equilibrium exists. It can be given a strong geometric intuition using graphs that show the subdivision of the players' mixed strategy sets into best-response regions. The Lemke-Howson algorithm is presented with these graphs, as well as algebraically in terms of complementary pivoting. Degenerate games require a refinement of the algorithm based on lexicographic perturbations. Commonly used definitions of degenerate games are shown as equivalent. The enumeration of all equilibria is expressed as the problem of finding matching vertices in pairs of polytopes. Algorithms for computing simply stable equilibria and perfect equilibria are explained. The computation of equilibria for extensive games is difficult for larger games since the reduced strategic form may be exponentially large compared to the game tree. If the players have perfect recall, the sequence form of the extensive game is a strategic description that is more suitable for computation. In the sequence form, pure strategies of a player are replaced by sequences of choices along a play in the game. The sequence form has the same size as the game tree, and can be used for computing equilibria with the same methods as the strategic form. The paper concludes with remarks on theoretical and practical issues of concern to these computational approaches.

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This chapter was published in: R.J. Aumann & S. Hart (ed.) Handbook of Game Theory with Economic Applications, , chapter 45, pages 1723-1759, 2002.

This item is provided by Elsevier in its series Handbook of Game Theory with Economic Applications with number 3-45.

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This chapter was published in the following book, which is listed on IDEAS:
R.J. Aumann & S. Hart (ed.), 2002. "Handbook of Game Theory with Economic Applications," Handbook of Game Theory with Economic Applications, Elsevier, edition 1, volume 3, number 3, September. [Downloadable!] (restricted)
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  1. F. Forges & B. von Stengel, 2002. "Computionally Efficient Coordination in Games Trees," THEMA Working Papers 2002-05, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise. [Downloadable!]
  2. 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!]
  3. Govindan, Srihari & Wilson, Robert B., 2007. "A Decomposition Algorithm for N-Player Games," Research Papers 1967, Stanford University, Graduate School of Business. [Downloadable!]
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  4. Yannick Viossat, 2003. "Properties of Dual Reduction," Working Papers hal-00242992_v1, HAL. [Downloadable!]
  5. Takuya Masuzawa, 2008. "Computing the cores of strategic games with punishment–dominance relations," International Journal of Game Theory, Springer, vol. 37(2), pages 185-201, June. [Downloadable!] (restricted)
  6. Viossat, Yannick, 2006. "The Geometry of Nash Equilibria and Correlated Equilibria and a Generalization of Zero-Sum Games," Working Paper Series in Economics and Finance 641, Stockholm School of Economics. [Downloadable!]
  7. Sophie Bade & Guillaume Haeringer & Ludovic Renou, 2005. "More strategies, more Nash equilibria," Game Theory and Information 0502001, EconWPA. [Downloadable!]
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