This paper models the indirect evolution of the preferences of a population of fully rational agents repeatedly matched to play a symmetric 2 £ 2 game in biological fitnesses. Each agent is biased in favor of one of the strategies, and receives a noisy signal of his and his opponent's bias. With sufficiently accurate signals, the resulting global game selects a unique outcome, allowing preference biases to be shaped by the replicator dynamics. Stability analysis in this setting requires the e...Expand abstract
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Dynamically Stable Preferences.
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