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Evolutionary Games and Genetic Algorithms

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Part of the book series: Advances in Computational Economics ((AICE,volume 5))

Abstract

While the use of GAs for optimization has been studied intensively, their use to simulate populations of human agents is relatively underdeveloped. Much of the paper discusses the application of various forms of GAs to simple games and compares the outcomes with theory and experimental evidence. Despite the reported successes, the paper concludes that much more research is required to understand both the experimental evidence and the formulation of population models using GAs.

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© 1996 Springer Science+Business Media Dordrecht

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Birchenhall, C.R. (1996). Evolutionary Games and Genetic Algorithms. In: Gilli, M. (eds) Computational Economic Systems. Advances in Computational Economics, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8743-3_1

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  • DOI: https://doi.org/10.1007/978-94-015-8743-3_1

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4655-0

  • Online ISBN: 978-94-015-8743-3

  • eBook Packages: Springer Book Archive

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