Evolutionary dynamics of spatial games
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Introduction to Multiagent Systems
Introduction to Multiagent Systems
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In this paper, we investigate the role of heterogeneous payoff values and social diversity in a spatial version of the iterated prisoner's dilemma game. Typically, a fixed number of agents play the game over a specified number of rounds. At each time step, the agents receive a fixed reward based on the strategy they have adopted and the corresponding payoff (or reward) matrix. We argue that such restrictions are unlikely to be fulfilled in real-life situations. Subsequently, we introduce additional features into the game. Here, each agent has an additional age attribute that can be used to control the number of iterations of the game an agent actually participates in. We also introduce dynamic payoff values that are correlated with particular agent experience levels. Numerical simulations show that the proposed heterogeneous agent model promotes the evolution of cooperation in some circumstances.