Proceedings of the Royal Society B Biological Sciences · 1999 · 99 citations · 25 references
Social SciencesEconomicsStrategyBehavioral EconomicsEvolutionary PsychologyGame TheoryBehavioral Game TheoryEvolutionary Game TheoryNash EquilibriumRepeated GamesAdaptive Learning In GamesLearning In GamesMechanismsReinforcement Learning In GamesRepeated AspirationRepeated Game EquilibriaRepeated Game ModelsStrategy Learning
Win–stay, lose–shift strategies in repeated games are based on an aspiration level. A move is repeated if and only if the outcome, in the previous round, was satisficing in the sense that the pay–off was at least as high as the aspiration level. We investigate the conditions under which adaptive mechanisms acting on the aspiration level (selection, for instance, or learning) can lead to an efficient outcome; in other words, when can satisficing become optimizing? Analytical results for 2 times 2–games are presented. They suggest that in a large variety of social interactions, self–centred rules (based uniquely on one's own pay–off) cannot suffice.
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