Probabilistic techniques in algorithmic game theory

  • Authors:
  • Spyros C. Kontogiannis;Paul G. Spirakis

  • Affiliations:
  • Computer Science Department, University of Ioannina, Ioannina, Greece and Research Academic Computer Technology Institute, Greece;Research Academic Computer Technology Institute, Greece

  • Venue:
  • SAGA'07 Proceedings of the 4th international conference on Stochastic Algorithms: foundations and applications
  • Year:
  • 2007

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Abstract

We consider applications of probabilistic techniques in the framework of algorithmic game theory. We focus on three distinct case studies: (i) The exploitation of the probabilistic method to demonstrate the existence of approximate Nash equilibria of logarithmic support sizes in bimatrix games; (ii) the analysis of the statistical conflict that mixed strategies cause in network congestion games; (iii) the effect of coalitions in the quality of congestion games on parallel links.