Clever agents in adaptive learning

成果类型:
Article
署名作者:
Matros, A
署名单位:
University of London; University College London
刊物名称:
JOURNAL OF ECONOMIC THEORY
ISSN/ISSBN:
0022-0531
DOI:
10.1016/S0022-0531(03)00068-1
发表日期:
2003
页码:
110-124
关键词:
evolution game theory bounded rationality Markov chain stochastic stability
摘要:
Saez-Marti and Weibull (J. Econom. Theory 86 (1999) 268) investigate the consequences of letting some agents play a myopic best reply to the myopic best reply in Young's (J. Econom. Theory 59 (1993) 145) bargaining model, which is how they introduce cleverness of players. I analyze such clever agents in general finite two-player games and show Young's (Individual Strategy and Social Structure, Princeton University Press, Princeton, NJ, 1998) prediction to be robust: adaptive learning with clever agents does select the same minimal curb set as in the absence of clever agents, if their population share is less than one. However, the long-run strategy distribution in such a curb set may vary with the share of clever agents. (C) 2003 Elsevier Science (USA). All rights reserved.
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