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Convergence of aspirations and (partial) cooperation in the prisoner's dilemma

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Author Info
Fernando Vega-Redondo () (Facultad de Economicas and Instituto Valenciano de Investigaciones Economicas, Universidad de Alicante, E-03071 Alicante, Spain)
Frédéric Palomino () (CentER, Tilburg University, P.O. Box 90153, 5000 LE Tilburg, The Netherlands)

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Abstract

This paper proposes an aspiration-based dynamic model for cooperation where a large population of agents are matched afresh every period to play a Prisoner's Dilemma. At each point in time, agents hold a common aspiration level which is updated on the basis of some "population statistic", i.e. a certain scalar summary (e.g. average payoff) associated to the current state. On the other hand, those agents who feel "dissatisfied" (relative to current aspiration) switch actions at a rate which is increasing in the magnitude of the dissatisfaction. The resulting process is shown to converge in the long run under quite general conditions. Moreover, if agents are responsive enough, the long-run social state displays some extent of cooperation, with a constant positive fraction of the population (always less than half) choosing to cooperate in every period.

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Publisher Info
Article provided by Springer in its journal International Journal of Game Theory.

Volume (Year): 28 (1999)
Issue (Month): 4 ()
Pages: 465-488
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Handle: RePEc:spr:jogath:v:28:y:1999:i:4:p:465-488

Note: Received: January 1998/Revised version: October 1998
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Related research
Keywords: Aspirations · cooperation · bounded rationality;

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  2. Carlo Altavilla & Luigi Luini & Patrizia Sbriglia, 2005. "Social Learning in Market Games," Labsi Experimental Economics Laboratory University of Siena 003, University of Siena. [Downloadable!]
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  3. Dziubinski, Marcin & Roy, Jaideep, 2007. "Endogenous selection of aspiring and rational rules in coordination games," MPRA Paper 5941, University Library of Munich, Germany. [Downloadable!]
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  4. Angelo Antoci & Pier Sacco & Luca Zarri, 2004. "Coexistence of Strategies and Culturally-Specific Common Knowledge: An Evolutionary Analysis," Journal of Bioeconomics, Springer, vol. 6(2), pages 165-194, May. [Downloadable!] (restricted)
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