AbstractWe exhibit a large class of simple rules of behavior, which we call adaptive heuristics, and show that they generate rational behavior in the long run. These adaptive heuristics are based on natural regret measures, and may be viewed as a bridge between rational and behavioral viewpoints. Taken together, the results presented here establish a solid connection between the dynamic approach of adaptive heuristics and the static approach of correlated equilibria. Copyright The Econometric Society 2005.
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Bibliographic InfoPaper provided by UCLA Department of Economics in its series Levine's Bibliography with number 122247000000000471.
Date of creation: 17 Sep 2004
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- Sergiu Hart, 2004. "Adaptive Heuristics," Discussion Paper Series, The Center for the Study of Rationality, Hebrew University, Jerusalem dp372, The Center for the Study of Rationality, Hebrew University, Jerusalem.
- C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
- D8 - Microeconomics - - Information, Knowledge, and Uncertainty
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- Robert J. Aumann, 2010.
"Correlated Equilibrium as an expression of Bayesian Rationality,"
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661465000000000377, David K. Levine.
- Aumann, Robert J, 1987. "Correlated Equilibrium as an Expression of Bayesian Rationality," Econometrica, Econometric Society, Econometric Society, vol. 55(1), pages 1-18, January.
- R. Aumann, 2010. "Correlated Equilibrium as an expression of Bayesian Rationality," Levine's Bibliography 513, UCLA Department of Economics.
- Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, Econometric Society, vol. 67(4), pages 827-874, July.
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