Title
Asymptotic expected number of Nash equilibria of two-player normal form games
Abstract
The formula given by McLennan [The mean number of real roots of a multihomogeneous system of polynomial equations, Amer. J. Math. 124 (2002) 49–73] is applied to the mean number of Nash equilibria of random two-player normal form games in which the two players have M and N pure strategies respectively. Holding M fixed while N→∞, the expected number of Nash equilibria is approximately (πlogN/2)M−1/M. Letting M=N→∞, the expected number of Nash equilibria is exp(NM+O(logN)), where M≈0.281644 is a constant, and almost all equilibria have each player assigning positive probability to approximately 31.5915 percent of her pure strategies.
Year
DOI
Venue
2005
10.1016/j.geb.2004.10.008
Games and Economic Behavior
Keywords
Field
DocType
C72
Binary logarithm,Combinatorics,Mathematical economics,Statistical mechanics,Real roots,System of polynomial equations,Expected value,Nash equilibrium,Mathematics,Computational complexity theory
Journal
Volume
Issue
ISSN
51
2
0899-8256
Citations 
PageRank 
References 
19
3.82
2
Authors
2
Name
Order
Citations
PageRank
Andrew McLennan1405.20
Johannes Berg2416.32