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Heterogeneous Payoffs and Social Diversity in the Spatial Prisoner’s Dilemma game

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Simulated Evolution and Learning (SEAL 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5361))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Software Engineering, The University of Melbourne, Victoria, Australia

    Golriz Rezaei & Michael Kirley

Authors
  1. Golriz Rezaei
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  2. Michael Kirley
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Editor information

Editors and Affiliations

  1. School of Computer Science and information Technology, RMIT University, VIC 3001, Melbourne, Australia

    Xiaodong Li

  2. Melbourne School Engineering, Department of Computer Science and Software Engineering, The University of Melbourne, VIC 3001, Melbourne, Australia

    Michael Kirley

  3. School of Mathematics, Statistics and Computer Science, Victoria University of Wellington, P.O. Box 600, 6140, Wellington, New Zealand

    Mengjie Zhang

  4. Faculty of Information Technology, Monash University, Clayton Campus, VIC 3800, Australia

    David Green

  5. School of Computer Science and Information Technology, RMIT University, VIC 3001, Melbourne, Australia

    Vic Ciesielski

  6. School of Information Technology and Electrical Engineering, Australian Defence Force Academy, University of New South Wales, Canberra, Australia

    Hussein Abbass

  7. School of Computer Science, University of Adelaide, SA 5005, Adelaide, Australia

    Zbigniew Michalewicz

  8. Faculty of Information and Communication Technologies, Swinburne University of Technology, Melbourne, Australia

    Tim Hendtlass

  9. Indian Institute of Technology Kanpur, Department of Mechanical Engineering, Kanpur Genetic Algorithms Laboratory (KanGAL), 208016, Kanpur, Uttar Pradesh, India

    Kalyanmoy Deb

  10. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117576, Singapore

    Kay Chen Tan

  11. Institute AIFB, University of Karlsruhe, 76128, Karlsruhe, Germany

    Jürgen Branke

  12. Xi’an Jiaotong-Liverpool University, 215123, Suzhoum, China

    Yuhui Shi

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© 2008 Springer-Verlag Berlin Heidelberg

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Rezaei, G., Kirley, M. (2008). Heterogeneous Payoffs and Social Diversity in the Spatial Prisoner’s Dilemma game. In: Li, X., et al. Simulated Evolution and Learning. SEAL 2008. Lecture Notes in Computer Science, vol 5361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89694-4_59

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  • DOI: https://doi.org/10.1007/978-3-540-89694-4_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89693-7

  • Online ISBN: 978-3-540-89694-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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