• DocumentCode
    2318175
  • Title

    Selection of efficient pure strategies in allocation games

  • Author

    Coucheney, Pierre ; Touati, Corinne ; Gaujal, Bruno

  • Author_Institution
    INRIA Rhone-Alpes, Grenoble, France
  • fYear
    2009
  • fDate
    13-15 May 2009
  • Firstpage
    658
  • Lastpage
    666
  • Abstract
    In this work we consider allocation games and we investigate the following question: under what conditions does the replicator dynamics select a pure strategy? By definition, an allocation game is a game such that the payoff of a player when she takes an action only depends on the set of players who also take the same action. Such a game can be seen as a set of users who share a set of resources, a choice being an allocation to a resource. A companion game (with modified utilities) is introduced. From the payoffs of an allocation game, we define the repercussion utilities: for each player, her repercussion utility is her payoff minus the decrease in marginal payoff that her presence causes to all other players. The corresponding allocation game with repercussion utilities is the game whose payoffs are the repercussion utilities. A simple characterization of those games is given. In such games, if the players select their strategy according to a stochastic approximation of the replicator dynamics, we show that it converges to a Nash equilibrium of the game that is a locally optimal for the initial game. The proof is based on the construction of a potential function for the game. Furthermore, a spectral study of the dynamics shows that no mixed equilibrium is stable, so that the strategies of all players converge to a set of Nash equilibria. Then, martingale argument prove the convergence of the stochastic approximation to a pure point. A discussion of the global/local optimality of the limit points is also included.
  • Keywords
    approximation theory; convergence of numerical methods; stochastic games; Nash equilibrium convergence; allocation game; companion game; efficient pure strategy; players payoff; potential function; repercussion utility; replicator dynamics; resource allocation; stochastic approximation; Biological system modeling; Computational biology; Convergence; Evolution (biology); Game theory; Laboratories; Nash equilibrium; Resource management; Routing; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Game Theory for Networks, 2009. GameNets '09. International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-4176-1
  • Electronic_ISBN
    978-1-4244-4177-8
  • Type

    conf

  • DOI
    10.1109/GAMENETS.2009.5137457
  • Filename
    5137457