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Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma

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Author Info
Dan Ashlock (Dept. of Mathematics, Iowa State Univ.)
Mark D. Smucker (Dept. of Computer Sciences, U of Wisc.-Madison)
E. Ann Stanley (Dept. of Math, Iowa State U)
Leigh Tesfatsion (Dept. of Econ and Dept. of Math, Iowa State U)

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Abstract

Partner selection is an important process in many social interactions, permitting individuals to decrease the risks associated with cooperation. In large populations, defectors may escape punishment by roving from partner to partner, but defectors in smaller populations risk social isolation. We investigate these possibilities for an evolutionary prisoner's dilemma in which agents use expected payoffs to choose and refuse partners. In comparison to random or round-robin partner matching, we find that the average payoffs attained with preferential partner selection tend to be more narrowly confined to a few isolated payoff regions. Most ecologies evolve to essentially full cooperative behavior, but when agents are intolerant of defections, or when the costs of refusal and social isolation are small, we also see the emergence of wallflower ecologies in which all agents are socially isolated. In between these two extremes, we see the emergence of ecologies whose agents tend to engage in a small number of defections followed by cooperation thereafter. The latter ecologies exhibit a plethora of interesting social interaction patterns. Keywords: Evolutionary Game; Iterated Prisoner's Dilemma; Partner Choice and Refusal; Artificial Life; Genetic Algorithm; Finite Automata

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Paper provided by EconWPA in its series Game Theory and Information with number 9501002.

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Date of creation: 18 Jan 1995
Date of revision: 20 Jan 1995
Handle: RePEc:wpa:wuwpga:9501002

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Find related papers by JEL classification:
C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
D8 - Microeconomics - - Information, Knowledge, and Uncertainty

References listed on IDEAS
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  1. Marimon, Ramon & McGrattan, Ellen & Sargent, Thomas J., 1990. "Money as a medium of exchange in an economy with artificially intelligent agents," Journal of Economic Dynamics and Control, Elsevier, vol. 14(2), pages 329-373, May. [Downloadable!] (restricted)
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  2. Hirshlifer, David & Rassmusen, Eric, 1989. "Cooperation in a repeated prisoners' dilemma with ostracism," Journal of Economic Behavior & Organization, Elsevier, vol. 12(1), pages 87-106, August. [Downloadable!] (restricted)
  3. Tullock, Gordon, 1985. "Adam Smith and the Prisoners' Dilemma," The Quarterly Journal of Economics, MIT Press, vol. 100(5), pages 1073-81, Supp.. [Downloadable!] (restricted)
  4. Stanley, E.A. & Ashlock, D. & Tesfatsion, Leigh S., 2004. "Iterated Prisoner's Dilemma with Choice and Refusal of Partners," Staff General Research Papers 11180, Iowa State University, Department of Economics.
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  1. Leigh Tesfatsion, 1998. "Gale-Shapley Matching in an Evolutionary Trade Network Game," Game Theory and Information 9805004, EconWPA, revised 26 Jul 1998. [Downloadable!]
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  2. Esther Hauk, 1999. "Multiple Prisoner's Dilemma Games with (out) an Outside Option: An Experimental Study," Economics Working Papers 391, Department of Economics and Business, Universitat Pompeu Fabra. [Downloadable!]
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  3. Tesfatsion, Leigh, 2000. "Structure, Behavior, and Market Power in an Evolutionary Labor Market with Adaptive Search," Staff General Research Papers 1681, Iowa State University, Department of Economics. [Downloadable!]
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  4. Leigh TESFATSION, 1996. "An Evolutionary Trade Network Game With Preferential Partner Selection," Economic Report 38, Iowa State University Department of Economics. [Downloadable!]
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  5. Esther Hauk, . "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. [Downloadable!]
  6. Leigh Tesfatsion, 1998. "Teaching Agent-Based Computational Economics to Graduate Students," Computational Economics 9809001, EconWPA, revised 16 Nov 1998. [Downloadable!]
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  7. M.G. Zimmermann, V. M. Eguiluz, 2001. "Evolution of Cooperative Networks and the Emergence of Leadership," Computing in Economics and Finance 2001 171, Society for Computational Economics. [Downloadable!]
  8. Jack Robles, 2008. "Evolution, bargaining, and time preferences," Economic Theory, Springer, vol. 35(1), pages 19-36, April. [Downloadable!] (restricted)
  9. Leigh TESFATSION, 1995. "A Trade Network Game With Endogenous Partner Selection," Economic Report 36, Iowa State University Department of Economics. [Downloadable!]
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  10. Leigh TESFATSION, 1995. "How Economists Can Get Alife," Economic Report 37, Iowa State University Department of Economics. [Downloadable!]
  11. Giorgio Fagiolo & Luigi Marengo & Marco Valente, 2003. "Endogenous Networks in Random Population Games," LEM Papers Series 2003/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy. [Downloadable!]
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  12. David MCFADZEAN & Leigh TESFATSION, 1996. "A C++ Platform For The Evolution Of Trade Networks," Economic Report 39, Iowa State University Department of Economics. [Downloadable!]
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