The main topics of game theory have traditionally been equilibrium analysis and not dynamics. These days, however, dynamical phenomena among interacting agents are getting more and more interest of many researchers, and models that deal with open ended evolution of strategies are becoming popular, e.g., the evolutionary models using the Iterated PrisonersDilemma. This situation may be compared to the history of development of physics; that is, though physics originally analyzed the phenomena that, in most cases, converge on fixed point or limit cycles, recently physics has been enlarging its sphere of influence, with the development of non-linear science, into chaotic phenomena. I am interested in two aspects of game theory: the dynamics produced in static (traditional) games, and the dynamics of games themselves in which the payoff matrix is influenced by the players.

1. Dynamics in static games

2. Games Described as Dynamical Systems

* Similarity and Cluster Analysis of the C. ELEGANS Neural Network