Title :
Polynomial games and sum of squares optimization
Author :
Parrilo, Pablo A.
Author_Institution :
Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA
Abstract :
We study two-person zero-sum games, where the payoff function is a polynomial expression in the actions of the players. This class of games was introduced by Dresher, Karlin, and Shapley in 1950. We show that the value of the game, and the corresponding optimal strategies, can be obtained by solving a single semidefinite programming problem. In addition, we show how the results extend, with suitable modifications, to a general class of semialgebraic games
Keywords :
game theory; optimisation; polynomials; optimal strategy; payoff function; polynomial games; semialgebraic games; semidefinite programming problem; sum of squares optimization; zero-sum games; Control systems; Game theory; Laboratories; Linear programming; Mathematical model; Minimax techniques; Nash equilibrium; Polynomials; USA Councils;
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
DOI :
10.1109/CDC.2006.377261