It is assumed that players bundle nodes in which other players must move into analogy classes, and players only have expectations about the average behavior in every class. A solution concept is proposed for multi-stage games with perfect information: at every node players choose best-responses to their analogy-based expectations, and expectations are correct on average over those various nodes pooled together into the same analogy classes. The approach is applied to a variety of games. It is shown that a player may benefit from having a coarse analogy partitioning. And for simple analogy partitioning, (1) initial cooperation followed by an end opportunistic behavior may emerge in the finitely repeated prisoner's dilemma (or in the centipede game), (2) an agreement need not be reached immediately in bargaining games with complete information.
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Paper provided by Institute for Advanced Study, School of Social Science in its series Economics Working Papers with number
0003.
Length: 38 pages Date of creation: Mar 2001 Date of revision: Publication status: Published in Journal of Economic Theory 123 (2005) 81-104 Handle: RePEc:ads:wpaper:0003
Find related papers by JEL classification: C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Itzhak Gilboa & David Schmeidler, 1992.
"Case-Based Decision Theory,"
Discussion Papers
994, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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