Finite Rationality and Interpersonal Complexity in Repeated Games
AbstractFinite complexity strategies suffice for approximating all subgame perfect equ ilibrium payoffs of repeated games. Generically, at such equilibria, no player's complexity exceeds the product of his opponents' complexi ties. Also, no player's memory exceeds the maximal memory of his oppo nents. The complexity of a strategy is defined here to equal the numb er of distinct strategies it induces in the various subgames. It equa ls the size (number of states) of the smallest automaton describing i t and also the number of states of the smallest information system ne eded for the implementation of the strategy. Copyright 1988 by The Econometric Society.
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Bibliographic InfoArticle provided by Econometric Society in its journal Econometrica.
Volume (Year): 56 (1988)
Issue (Month): 2 (March)
Other versions of this item:
- Ehud Kalai & William Stanford, 1986. "Finite Rationality and Interpersonal Complexity in Repeated Games," Discussion Papers 679, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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- Drew Fudenberg & David K. Levine, 1983.
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Levine's Working Paper Archive
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- Friedman, James W, 1971. "A Non-cooperative Equilibrium for Supergames," Review of Economic Studies, Wiley Blackwell, vol. 38(113), pages 1-12, January.
- Stanford, William G., 1986. "On continuous reaction function equilibria in duopoly supergames with mean payoffs," Journal of Economic Theory, Elsevier, vol. 39(1), pages 233-250, June.
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