Convergence of aspirations and (partial) cooperation in the prisoner's dilemma
AbstractThis 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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Bibliographic InfoArticle provided by Springer in its journal International Journal of Game Theory.
Volume (Year): 28 (1999)
Issue (Month): 4 ()
Note: Received: January 1998/Revised version: October 1998
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- Fernando Vega Redondo & Frédéric Palomino, 1996. "Convergence of aspirations and (partial) cooperation in the Prisoner's Dilemma," Working Papers. Serie AD 1996-20, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Palomino, F. & Vega, F., 1996. "Convergence of Aspirations and (Partial) Cooperation in the Prisoners's Dilemma," UFAE and IAE Working Papers 345.96, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
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