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05985460 Cunningham, Alan O'Riordan, Colm A genetic programming approach to an appropriation common pool game. Kampis, George (ed.) et al., Advances in artificial life. Darwin meets von Neumann. 10th European conference, ECAL 2009, Budapest, Hungary, September 13--16, 2009. Revised selected papers, Part II. Berlin: Springer (ISBN 978-3-642-21313-7/pbk). Lecture Notes in Computer Science 5778. Lecture Notes in Artificial Intelligence, 167-174 (2011). 2011 Berlin: Springer EN

doi:10.1007/978-3-642-21314-4_21

Summary: We investigate the performance of agents co-evolved using genetic programming techniques to play an appropriation common pool game. This game is used to study behaviours of users participating in scenarios with shared resources or interests eg. fisheries. We compare the outcomes achieved by the evolved strategies to that of human players as reported by [6]. Results show that genetic programming techniques are suitable for generating strategies in a repeated investment problem. We find that by using co-evolutionary methods, populations of strategies will quickly converge to nash equilibrium predicted by game theoretic analysis, but also lose many adaptive behaviours. Further, by evolving against a set of naive strategies, we show the creation of diverse and adaptive behaviours that play similarly to humans as described in previous experiments.