Local Interactions, Learning and Automata Networks in Games

This 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.