The evolution of fairness under an assortative matching rule inthe
نویسنده
چکیده
This paper studies how amatching rule affects the evolution of fairness in the ultimatumgame. Gale et al. [1995] show that under the randommatching rule, a partially fair imperfect Nash equilibrium in which all proposers are fair but some responders are selfish is asymptotically stable in the limit as noise in learning vanishes if responders are noisier than proposers. This paper shows that, under an assortative matching rule, a mutually fair imperfect Nash equilibrium in which all proposers are fair and all responders are reciprocal is limit asymptotically stable as noise due to committed agents vanishes.
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No . 2008 - 12 The Evolution of Fairness under an Assortative Matching Rule in the
This paper studies how a matching rule affects the evolution of fairness in an ultimatum mini game. Gale et al. [1995] show that only selfish behaviour survives in the deterministic replicator dynamics under the random matching rule. In contrast, this paper shows that, under an assortative matching rule, the fair behaviour may survive at an asymptotically stable state.
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This paper studies how a matching rule affects the evolution of fairness in an ultimatum mini game. Gale et al. [1995] show that only selfish behaviour survives in the deterministic replicator dynamics under the random matching rule. In contrast, this paper shows that, under an assortative matching rule, the fair behaviour may survive at an asymptotically stable state.
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This paper shows that, under assortative matching rule, the fair action can be maintained in ultimatum mini game on the evolutionary dynamics. If matching is random, then the selfish action generates higher payoff than fair action and the selfish individuals, who play rationally, are always survived on the replicator dynamics. If, however, matching is assortative, then fair responders are easy ...
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