Outkin, Alexander V.2014-03-142014-03-141998-09-13etd-110498-170256http://hdl.handle.net/10919/29465This dissertation is an attempt of expanding the domain of game theory into the sphere of evolving, potentially non-equilibrium systems. We especially focus our attention on studying the effects of local interactions, using automata networks as a modelling tool. The Chapters 2 and 3 of this dissertation concentrate on applications of the local nature of interactions and rely on automata networks as an investigating and modelling tool for game theory. Chapter 2 is devoted to cooperation and to a smaller extent to the endogenous formation of links between the agents. Chapter 3 is investigating the deterministic and stochastic best response play when interactions are local.enIn Copyrightautomata networkslearningevolutioncooperationLocal Interactions, Learning and Automata Networks in GamesDissertationhttp://scholar.lib.vt.edu/theses/available/etd-110498-170256/