Published May 2001 | Version Submitted
Working Paper Open

Economic Value of EWA Lite: A Functional Theory of Learning in Games

Abstract

EWA Lite is a one-parameter theory of learning in normal-form games. It approximates the free parameters in an earlier model (EWA) with functions of experience. The theory is tested on seven different games and compared to other learning and equilibrium theories. Either EWA Lite or parameterized EWA predict best, but one kind of reinforcement learning predicts well in games with mixed-strategy equilibrium. Belief learning models fit worst. The economic value of theories is measured by how much more subjects would have earned if they followed theory recommendations. EWA Lite and EWA add the most economic value in every game but one.

Additional Information

This paper should not be circulated or quoted without permission. Thanks to participants in the Southern Economics Association meetings (December, 2000), the Wharton School Decision Processes Workshop, and C. Monica Capra for comments.

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Identifiers

Eprint ID
79855
Resolver ID
CaltechAUTHORS:20170807-135200613

Dates

Created
2017-08-07
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Updated
2019-10-03
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Caltech Custom Metadata

Caltech groups
Social Science Working Papers
Series Name
Social Science Working Paper
Series Volume or Issue Number
1122