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Automata Simulation of N-Person Social Dilemma Games

Author

Listed:
  • Vladimir Akimov
  • Michail Soutchanski

    (USA and Canada Institute, Russian Academy of Sciences)

Abstract

Collective behavior of N players in a social dilemma game is simulated by automata exhibiting cooperative behavior. In his models of simple biological systems, Tsetlin assumed minimum information available to the players. The automata in this study were somewhat more sophisticated, using Markov strategies in their interactions. The authors investigated relationships between information received by the automata and the emergence of cooperation in a simulated evolution process. In some ways, this approach is similar to that of Axelrod. However, instead of determining the most successful strategy, the authors seek surviving strategies in a social dilemma environment. Previous results showed that cooperation could be established asymptotically under partially centralized control. In this model there is no such control. The main result is that more sophisticated behavior of self-seeking automata compensates for the absence of such control. Moreover, cooperation is established more rapidly when more information is available to the automata.

Suggested Citation

  • Vladimir Akimov & Michail Soutchanski, 1994. "Automata Simulation of N-Person Social Dilemma Games," Journal of Conflict Resolution, Peace Science Society (International), vol. 38(1), pages 138-148, March.
    • Handle: RePEc:sae:jocore:v:38:y:1994:i:1:p:138-148
    DOI: 10.1177/0022002794038001007
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    Cited by:

    1. Conrad Power, 2009. "A Spatial Agent-Based Model of N-Person Prisoner's Dilemma Cooperation in a Socio-Geographic Community," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-8.

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