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Individual differences in EWA learning with partial payoff information
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DOI：10.1111/j.1468-0297.2007.02103.x.png)
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Abstract
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We extend experience-weighted attraction (EWA) learning to games in which only the set of possible foregone payoffs from unchosen strategies are known, and estimate parameters separately for each player to study heterogeneity. We assume players estimate unknown foregone payoffs from a strategy, by substituting the last payoff actually received from that strategy, by clairvoyantly guessing the actual foregone payoff, or by averaging the set of possible foregone payoffs conditional on the actual outcomes. All three assumptions improve predictive accuracy of EWA. Individual parameter estimates suggest that players cluster into two separate subgroups (which differ from traditional reinforcement and belief learning).
Keywords:
NORMAL-FORM GAMES
COORDINATION GAMES
EQUILIBRIUM SELECTION
BEHAVIOR
STRATEGY
MODELS
HETEROGENEITY
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