Fiche du document
juillet 2023
- handle: 10670/1.olon9w
- halshs: halshs-04154272
info:eu-repo/semantics/OpenAccess
Mots-clés
Bounded rationality Categorization Bias-variance trade-off Adverse selection Chainstore paradox C - Mathematical and Quantitative Methods/C.C7 - Game Theory and Bargaining Theory/C.C7.C70 - General C - Mathematical and Quantitative Methods/C.C7 - Game Theory and Bargaining Theory/C.C7.C73 - Stochastic and Dynamic Games • Evolutionary Games • Repeated Games D - Microeconomics/D.D8 - Information, Knowledge, and Uncertainty/D.D8.D82 - Asymmetric and Private Information • Mechanism Design D - Microeconomics/D.D8 - Information, Knowledge, and Uncertainty/D.D8.D83 - Search • Learning • Information and Knowledge • Communication • Belief • Unawareness D - Microeconomics/D.D9 - Intertemporal Choice/D.D9.D91 - Intertemporal Household Choice • Life Cycle Models and SavingSujets proches
Amusements Children--Recreation Games for children Pastimes Primitive games Recreations Games, Primitive Children's gamesCiter ce document
Philippe Jehiel et al., « Categorization in Games: A Bias-Variance Perspective », HALSHS : archive ouverte en Sciences de l’Homme et de la Société, ID : 10670/1.olon9w
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Résumé
We develop a framework for categorization in games, applicable both to multistage games of complete information and static games of incomplete information. Players use categories to form coarse beliefs about their opponents' behavior. Players best-respond given these beliefs, as in analogy-based expectations equilibria. Categories are related to previously used strategies via the requirements that categories contain a sufficient amount of observations and exhibit sufficient withincategory similarity, in line with the bias-variance trade-off. When applied to classic games including the chainstore game and adverse selection games our framework yields less unintuitive predictions than those arising with standard solution concepts.