The evolution of cooperation through imitation

David K. Levine, Wolfgang Pesendorfer

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

We study evolutionarily stable outcomes for a class of games that admit cooperation and conflict as possible Nash equilibria. We make use of two ideas: existing strategies are more likely to be imitated than new strategies are to be introduced; players are able to identify opponents' behavior prior to interaction. The long-run evolutionary limit is efficient for the case of perfect recognition of opponents' behavior. For the case of imperfect recognition, efficiency is not achieved and long-run outcomes are more efficient the more accurate is the information. Strategies that emerge in the long run are those where players reward opponents who are likely to play the same way, and punish opponents who are likely to play differently.

Original languageEnglish (US)
Pages (from-to)293-315
Number of pages23
JournalGames and Economic Behavior
Volume58
Issue number2
DOIs
StatePublished - Feb 2007

All Science Journal Classification (ASJC) codes

  • Finance
  • Economics and Econometrics

Keywords

  • Cooperation
  • Evolutionary stable outcomes
  • Imitation

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