Equilibrium Selection via Adaptation: Using Genetic Programming to Model Learning in a Coordination Game

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Equilibrium Selection via Adaptation: Using Genetic Programming to Model Learning in a Coordination Game

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Shu-Heng Chen, John Duffy, Chia-Hsuan Yeh

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John Duffy

Abstract

This paper models adaptive learning behavior in a simple coordination game that Van Huyck, Cook and Battalio (1994) have investigated in a controlled laboratory setting with human subjects. We consider how populations of artificially intelligent players behave when playing the same game. We use the genetic programming paradigm, as developed by Koza (1992, 1994), to model how a population of players might learn over time.

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Article provided by IFReDE - Université Montesquieu Bordeaux IV in its journal The Electronic Journal of Evolutionary Modeling and Economic Dynamics.

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Find related papers by JEL classification:
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information

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repec:cup:macdyn:v:2:y:1998:i:1:p:22-48 is not listed on IDEAS
Bullard, James & Duffy, John, 1998. "A model of learning and emulation with artificial adaptive agents," Journal of Economic Dynamics and Control, Elsevier, vol. 22(2), pages 179-207, February. [Downloadable!] (restricted)
Other versions:
- James Bullard & John Duffy, 1994. "A model of learning and emulation with artificial adaptive agents," Working Papers 1994-014, Federal Reserve Bank of St. Louis. [Downloadable!]
Arifovic, Jasmina, 1995. "Genetic algorithms and inflationary economies," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 219-243, August. [Downloadable!] (restricted)
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Other versions:
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Other versions:
- Vincent Crawford, 1992. "Adaptive Dynamics in Coordination Games," University of California at San Diego, Economics Working Paper Series 92-02r, Department of Economics, UC San Diego.
Dittmar, Robert & Neely, Christopher J & Weller, Paul, 1996. "Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach," CEPR Discussion Papers 1480, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
Other versions:
- Christopher J. Neely & Paul A. Weller & Robert Dittmar, 1997. "Is technical analysis in the foreign exchange market profitable? a genetic programming approach," Working Papers 1996-006, Federal Reserve Bank of St. Louis. [Downloadable!]
Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January. [Downloadable!] (restricted)
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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W. Brian Arthur & John H. Holland & Blake LeBaron & Richard Palmer & Paul Taylor, 1996. "Asset Pricing Under Endogenous Expectation in an Artificial Stock Market," Working Papers 96-12-093, Santa Fe Institute.

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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

John Duffy, 2004. "Agent-Based Models and Human Subject Experiments," Computational Economics 0412001, EconWPA. [Downloadable!]
Other versions:
- Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011 Elsevier. [Downloadable!] (restricted)
Alberto Fogale & Paolo Pellizzari & Massimo Warglien, 2006. "Learning and equilibrium selection in a coordination game with heterogeneous agents," Working Papers 135, Department of Applied Mathematics, University of Venice. [Downloadable!]
Ernan Haruvy & M. Utku Ünver, 2003. "Equilibrium Selection in Repeated Business-to-Business Matching Markets," Experimental 0305004, EconWPA, revised 02 Sep 2003. [Downloadable!]

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