This chapter seeks to follow Axelrod's research of computer simulations on the Iterated Prisoner's Dilemma (IPD) game to investigate the use of Genetic Algorithms (GA) in evolving cooperation within a competitive market environment. We use an agent-based economy model as the basis of our experiments to examine how well GA could perform against the IPD game strategies. We also explore the strategic interactions among the agents that represent firms in a coevolving population, and study the influence of the genetic operators on GA to evolve cooperative agents.
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Chiong, R. (2008). Evolving Cooperative Agents in Economy Market Using Genetic Algorithms. In: Yang, A., Shan, Y., Bui, L.T. (eds) Success in Evolutionary Computation. Studies in Computational Intelligence, vol 92. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76286-7_14
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DOI: https://doi.org/10.1007/978-3-540-76286-7_14
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