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
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;
Conference_Titel :
Parallel Processing, 2009. ICPP '09. International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4244-4961-3
Electronic_ISBN :
0190-3918
DOI :
10.1109/ICPP.2009.11