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An Evolutionary Trade Network Game With Preferential Partner Selection

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Author Info
Leigh TESFATSION ()

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Abstract

An evolutionary trade network game (TNG) is proposed for studying the interplay between evolutionary game dynamics and preferential partner selection in various market contexts with distributed adaptive agents. The modular form of the TNG facilitates experimentation with alternative specifications for trade partner matching, trading, expectation up dating, and trade strategy evolution. Experimental results obtained using a C++ implementation suggest that the conventional optimality properties used to evaluate agent matching mechanisms in static market contexts maybe inadequate measures of optimality from an evolutionary perspective.

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File URL: http://agecon.lib.umn.edu/isu/er38.pdf
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Paper provided by Iowa State University Department of Economics in its series Economic Report with number 38.

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Date of creation: Feb 1996
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Handle: RePEc:isu:iowaer:38

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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
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References listed on IDEAS
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  1. Sergei Guriev & Igor Pospelov & Margarita Shakhova, . "Self-Organization of Trade Networks in an Economy with Imperfect Infrastructure," Computing in Economics and Finance 1996 _022, Society for Computational Economics. [Downloadable!]
  2. Alan P. Kirman, 1994. "Economies with Interacting Agents," Working Papers 94-05-030, Santa Fe Institute.
    Other versions:
  3. 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)
  4. Roth, Alvin E. & Sotomayor, Marilda, 1992. "Two-sided matching," Handbook of Game Theory with Economic Applications, in: R.J. Aumann & S. Hart (ed.), Handbook of Game Theory with Economic Applications, edition 1, volume 1, chapter 16, pages 485-541 Elsevier. [Downloadable!] (restricted)
  5. Vriend, Nicolaas J, 1995. "Self-Organization of Markets: An Example of a Computational Approach," Computational Economics, Springer, vol. 8(3), pages 205-31, August.
  6. George Mailath & Larry Samuelson & Avner Shaked, 1994. "Evolution and Endogenous Interactions," Game Theory and Information 9410003, EconWPA. [Downloadable!]
  7. David MCFADZEAN & Leigh TESFATSION, 1996. "A C++ Platform For The Evolution Of Trade Networks," Economic Report 39, Iowa State University Department of Economics. [Downloadable!]
    Other versions:
  8. repec:att:wimass:192007 is not listed on IDEAS
  9. Dan Ashlock & Mark D. Smucker & E. Ann Stanley & Leigh Tesfatsion, 1995. "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," Game Theory and Information 9501002, EconWPA, revised 20 Jan 1995. [Downloadable!]
  10. Leigh TESFATSION, 1995. "A Trade Network Game With Endogenous Partner Selection," Economic Report 36, Iowa State University Department of Economics. [Downloadable!]
  11. Tesfatsion, Leigh S. & Ashlock, D. & Stanley, E.A., 2004. "Iterated Prisoner's Dilemma with Choice and Refusal of Partners," Staff General Research Papers 11180, Iowa State University, Department of Economics.
  12. Steven N. Durlauf, 1995. "Neighborhood Feedbacks, Endogenous Stratification, and Income Inequality," Working Papers 95-07-061, Santa Fe Institute.
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