• DocumentCode
    2793603
  • Title

    Computing Equilibria in Bimatrix Games by Parallel Vertex Enumeration

  • Author

    Widger, Jonathan ; Grosu, Daniel

  • Author_Institution
    Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    116
  • Lastpage
    123
  • Abstract
    Equilibria computation is of great importance to many areas such as economics, control theory, and recently computer science. We focus on the computation of Nash equilibria in two-player general-sum normal form games, also called bimatrix games. One efficient method to compute these equilibria is based on enumerating the vertices of the best response polyhedrons of the two players and checking the equilibrium conditions for every pair of vertices. We design and implement a parallel algorithm for computing Nash equilibria in bimatrix games based on vertex enumeration. We analyze the performance of the proposed algorithm by performing extensive experiments on a grid computing system.
  • Keywords
    game theory; grid computing; matrix algebra; parallel algorithms; Nash equilibria; bimatrix games; grid computing system; parallel algorithm; parallel vertex enumeration; Algorithm design and analysis; Computer science; Concurrent computing; Control theory; Economic forecasting; Game theory; Grid computing; Libraries; Nash equilibrium; Parallel algorithms; Nash equilibrium; bimatrix game; game theory; parallel algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2009. ICPP '09. International Conference on
  • Conference_Location
    Vienna
  • ISSN
    0190-3918
  • Print_ISBN
    978-1-4244-4961-3
  • Electronic_ISBN
    0190-3918
  • Type

    conf

  • DOI
    10.1109/ICPP.2009.11
  • Filename
    5361945