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Iterated Prisoner's Dilemma with Choice and Refusal of Partners

Author

Listed:
  • Stanley, E.A.
  • Ashlock, Daniel
  • Tesfatsion, Leigh

Abstract

This article extends the traditional iterated prisoner's dilemma (IPD) with round-robin partner matching by permitting players to choose and refuse partners in each iteration on the basis of continually updated expected payoffs. Comparative computer experiments are reported that indicate the introduction of partner choice and refusal accelerates the emergence of mutual cooperation in the IPD relative to round-robin partner matching. Moreover, in contrast to findings for round-robin partner matching (in which the average payoffs of the players tend to be either clustered around the mutual cooperation payoff or widely scattered), the average payoff scores of the players with choice and refusal of partners tend to cluster into two or more distinct narrow bands. Preliminary analytical and computational sensitivity studies are also reported for several key parameters. Related work can be accessed here: http://www2.econ.iastate.edu/tesfatsi/tnghome.htm

Suggested Citation

  • Stanley, E.A. & Ashlock, Daniel & Tesfatsion, Leigh, 1994. "Iterated Prisoner's Dilemma with Choice and Refusal of Partners," Staff General Research Papers Archive 11180, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:11180
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    File URL: http://www2.econ.iastate.edu/tesfatsi/tnghome.htm
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    Cited by:

    1. Miller, John H. & Butts, Carter T. & Rode, David, 2002. "Communication and cooperation," Journal of Economic Behavior & Organization, Elsevier, vol. 47(2), pages 179-195, February.
    2. McFadzean, David & Tesfatsion, Leigh, 1999. "A C++ Platform for the Evolution of Trade Networks," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 109-134, October.
    3. Giorgio Fagiolo & Luigi Marengo & Marco Valente, 2004. "Endogenous Networks In Random Population Games," Mathematical Population Studies, Taylor & Francis Journals, vol. 11(2), pages 121-147.
    4. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics to Graduate Students," ISU General Staff Papers 199807010700001043, Iowa State University, Department of Economics.
    5. Kirchkamp, Oliver, 2000. "Spatial evolution of automata in the prisoners' dilemma," Journal of Economic Behavior & Organization, Elsevier, vol. 43(2), pages 239-262, October.
    6. Kristian Lindgren, 1996. "Evolutionary Dynamics in Game-Theoretic Models," Working Papers 96-06-043, Santa Fe Institute.
    7. Vriend, Nicolaas J., 2000. "An illustration of the essential difference between individual and social learning, and its consequences for computational analyses," Journal of Economic Dynamics and Control, Elsevier, vol. 24(1), pages 1-19, January.
    8. Ashlock, Dan & Smucker, Mark & Stanley, E. Ann & Tesfatsion, Leigh, 1994. "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," ISU General Staff Papers 199409010700001033, Iowa State University, Department of Economics.
    9. Rouchier, Juliette & Bousquet, Francois & Requier-Desjardins, Melanie & Antona, Martine, 2001. "A multi-agent model for describing transhumance in North Cameroon: Comparison of different rationality to develop a routine," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 527-559, March.
    10. Leigh S. Tesfatsion, "undated". "An Evolutionary Trade Network Game with Preferential Partner Selection," Computing in Economics and Finance 1996 _057, Society for Computational Economics.
    11. Tomas Klos, 1999. "Governance and Matching," Computing in Economics and Finance 1999 341, Society for Computational Economics.
    12. Esther Hauk, 2003. "Multiple Prisoner's Dilemma Games with(out) an Outside Option: an Experimental Study," Theory and Decision, Springer, vol. 54(3), pages 207-229, May.
    13. Tesfatsion, Leigh, 1995. "A Trade Network Game with Endogenous Partner Selection," ISU General Staff Papers 199505010700001034, Iowa State University, Department of Economics.
    14. Leigh TESFATSION, 1995. "How Economists Can Get Alife," Economic Report 37, Iowa State University Department of Economics.
    15. Tesfatsion, Leigh, 1998. "Gale-Shapley Matching in an Evolutionary Trade Network Game," ISU General Staff Papers 199804010800001041, Iowa State University, Department of Economics.
    16. Esther Hauk, "undated". "Leaving the Prison: A Discussion of the Iterated Prisoner's Dilemma under Preferential Partner Selection," Computing in Economics and Finance 1996 _067, Society for Computational Economics.
    17. Rick L. Riolo, 1997. "The Effects of Tag-Mediated Selection of Partners in Evolving Populations Playing the Iterated PrisonerÕs Dilemma," Working Papers 97-02-016, Santa Fe Institute.
    18. John H. Miller & Carter Butts & David Rode, 1998. "Communication and Cooperation," Working Papers 98-04-037, Santa Fe Institute.
    19. Klos, Tomas B. & Nooteboom, Bart, 2001. "Agent-based computational transaction cost economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 503-526, March.
    20. Serge Hayward, 2011. "Predicting Prices Of Financial Assets: From Classical Economics To Intelligent Finance," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 229-247.
    21. K. Sigmund, 1998. "Complex Adaptive Systems and the Evolution of Reciprocation," Working Papers ir98100, International Institute for Applied Systems Analysis.
    22. Maarten C.W. Janssen, 2000. "Imitation of Cooperation in Prisoner's Dilemma Games with Some Local Interaction," Tinbergen Institute Discussion Papers 00-019/1, Tinbergen Institute.
    23. Anders Eriksson & Kristian Lindgren, 2001. "Evolution of Strategies in Repeated Stochastic Games," Working Papers 01-04-023, Santa Fe Institute.
    24. Ronald S. Burt, 1999. "Private Games are too Dangerous," Computational and Mathematical Organization Theory, Springer, vol. 5(4), pages 311-341, December.
    25. Janssen, Marco A., 2008. "Evolution of cooperation in a one-shot Prisoner's Dilemma based on recognition of trustworthy and untrustworthy agents," Journal of Economic Behavior & Organization, Elsevier, vol. 65(3-4), pages 458-471, March.

    More about this item

    Keywords

    iterated prisoner's dilemma; preferential partner selection; evolutionary game theory;
    All these keywords.

    JEL classification:

    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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