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A Computational Approach to the Collective Action Problem: Assessment of Alternative Learning Rules

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Author Info
Juan Montoro-Pons
Francisco Garcia-Sobrecases
Abstract

We sketch here the basis of a behavioral theory of non-market decision making or collective action. Departing from the basic social problem, the coordination of individual actions when individual rationality is opposed to collective rationality, we model a population of agents choosing their level of individual cooperation. The social dilemma that emerges may be solved in a bounded rationality evolutionary context. We find that the efficiency embodied in the solutions is dependent on the type of learning individuals adopt. Additional returns to the individual from collective contributions and discounting the future play key roles in the determination of the solution. We conclude that the emergent properties of the social cooperation agree with the findings in the experimental literature: cooperation, although not optimal, is a fact, and institutional settings affect the outcomes in a significant way. Copyright Kluwer Academic Publishers 2003

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File URL: http://hdl.handle.net/10.1023/A:1022211603767
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Publisher Info
Article provided by Springer in its journal Computational Economics.

Volume (Year): 21 (2003)
Issue (Month): 1 (February)
Pages: 137-151
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Handle: RePEc:kap:compec:v:21:y:2003:i:1:p:137-151

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Related research
Keywords: social dilemma; classified systems; cooperation; imitation; individual learning; social learning;

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  6. Marc WILLINGER & Anthony ZIEGELMEYER, 1999. "Framing and cooperation in public good games: an experiment with an interior solution," Working Papers of BETA 9901, Bureau d'Economie Théorique et Appliquée, ULP, Strasbourg. [Downloadable!]
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  7. Palfrey, Thomas R & Prisbrey, Jeffrey E, 1997. "Anomalous Behavior in Public Goods Experiments: How Much and Why?," American Economic Review, American Economic Association, vol. 87(5), pages 829-46, December. [Downloadable!] (restricted)
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  10. 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. [Downloadable!] (restricted)
  11. Thomas Riechmann, 1999. "Learning and behavioral stability An economic interpretation of genetic algorithms," Journal of Evolutionary Economics, Springer, vol. 9(2), pages 225-242. [Downloadable!] (restricted)
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  12. Sonnemans, Joep & Schram, Arthur & Offerman, Theo, 1999. "Strategic behavior in public good games: when partners drift apart," Economics Letters, Elsevier, vol. 62(1), pages 35-41, January. [Downloadable!] (restricted)
  13. Cason, Timothy N. & Khan, Feisal U., 1999. "A laboratory study of voluntary public goods provision with imperfect monitoring and communication," Journal of Development Economics, Elsevier, vol. 58(2), pages 533-552, April. [Downloadable!] (restricted)
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  16. Andreoni, James, 1995. "Cooperation in Public-Goods Experiments: Kindness or Confusion?," American Economic Review, American Economic Association, vol. 85(4), pages 891-904, September. [Downloadable!] (restricted)
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