Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1999-05-06
Europhys. Lett.,48 (2), 129-135 (1999)
Physics
Condensed Matter
Disordered Systems and Neural Networks
6 pages, was "Self averaging of Nash equilibria in two player games", main section rewritten, some new results, for additional
Scientific paper
10.1209/epl/i1999-00456-2
We use techniques from the statistical mechanics of disordered systems to analyse the properties of Nash equilibria of bimatrix games with large random payoff matrices. By means of an annealed bound, we calculate their number and analyse the properties of typical Nash equilibria, which are exponentially dominant in number. We find that a randomly chosen equilibrium realizes almost always equal payoffs to either player. This value and the fraction of strategies played at an equilibrium point are calculated as a function of the correlation between the two payoff matrices. The picture is complemented by the calculation of the properties of Nash equilibria in pure strategies.
Berg Johannes
Weigt Martin
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