Stochastic Multiplayer Games
Theory and Algorithms
Amsterdam University Press
Stochastic games provide a versatile model for reactive systems that are a'ected by random events. This dissertation advances the algorithmic theory of stochastic games to incorporate multiple players, whose objectives are not necessarily conflicting. The basis of this work is a comprehensive complexitytheoretic analysis of the standard game-theoretic solution concepts in the context of stochastic games over a finite state space. One main result is that the constrained existence of a Nash equilibrium becomes undecidable in this setting. This impossibility result is accompanied by several positive results, including e(cient algorithms for natural special cases.
Michael Ummels received his diploma degree in computer science from RWTH Aachen University. He started his doctoral studies at the same university in 2006, supervised by Prof. Dr. Erich Grädel and Prof. Dr. Dr.h.c. Wolfgang Thomas. As ofFebruary 2010, the author is a postdoctoral researcher at ENS Cachan.