Clever agents in adaptive learning
Abstract
Saez-Marti and Weibull [4] investigate the consequences of letting some agents play a myopic best reply to the myopic best reply in Young's [8] bargaining model. This is how they introduce ''cleverness'' of players. We analyze such clever agents in general finite two-player games. We show that Young's [9] prediction is 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 strategies distribution in such a curb set may vary with the share of clever agents.(This abstract was borrowed from another version of this item.)
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Bibliographic Info
Article provided by Elsevier in its journal Journal of Economic Theory.
Volume (Year): 111 (2003)
Issue (Month): 1 (July)
Pages: 110-124
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/622869
Related research
Keywords:Other versions of this item:
- Matros, Alexander, 2000. "Clever agents in adaptive learning," Working Paper Series in Economics and Finance 403, Stockholm School of Economics.
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
References
References listed on IDEASPlease 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.:
- Young H. P., 1993. "An Evolutionary Model of Bargaining," Journal of Economic Theory, Elsevier, vol. 59(1), pages 145-168, February.
- Basu, K. & Weibull, J.W., 1990.
"Strategy Subsets Closed Under Rational Behaviour,"
Papers
479, Stockholm - International Economic Studies.
- Basu, Kaushik & Weibull, Jorgen W., 1991. "Strategy subsets closed under rational behavior," Economics Letters, Elsevier, vol. 36(2), pages 141-146, June.
- Basu, K. & Weibull, J., 1990. "Strategy Subsets Closed Under Rational Behavior," Papers 62, Princeton, Woodrow Wilson School - Discussion Paper.
- Saez-Marti, Maria & Weibull, Jorgen W., 1999.
"Clever Agents in Young's Evolutionary Bargaining Model,"
Journal of Economic Theory,
Elsevier, vol. 86(2), pages 268-279, June.
- Saez-Marti, Maria & Weibull, Jörgen W., 1998. "Clever agents in Young's evolutionary bargaining model," Working Paper Series in Economics and Finance 281, Stockholm School of Economics.
- Saez-Marti, M. & Weibull, J.W., 1998. "Clever Agents in Young's Evolutionary Bargaining Model," Research Institute of Industrial Economics Working Papers 507, Research Institute of Industrial Economics (IFN).
- Weibull, Jörgen W. & Saez-Marti, Maria, 1998. "Clever Agents in Young's Evolutionary Bargaining Model," Working Paper Series 507, Research Institute of Industrial Economics.
- Young, H Peyton, 1993. "The Evolution of Conventions," Econometrica, Econometric Society, vol. 61(1), pages 57-84, January.
- Hurkens Sjaak, 1995. "Learning by Forgetful Players," Games and Economic Behavior, Elsevier, vol. 11(2), pages 304-329, November.
- P. Young, 1999. "The Evolution of Conventions," Levine's Working Paper Archive 485, David K. Levine.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Andriy Zapechelnyuk, 2009. "Limit Behavior of No-regret Dynamics," Discussion Papers 21, Kyiv School of Economics.
- Josephson, Jens, 2009.
"Stochastic adaptation in finite games played by heterogeneous populations,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 33(8), pages 1543-1554, August.
- Josephson, Jens, 2001. "Stochastic Adaptation in Finite Games Played by Heterogeneous Populations," Working Paper Series in Economics and Finance 475, Stockholm School of Economics.
- Alexander Matros, 2006. "Altruistic Versus Rational Behavior in a Public Good Game," Working Papers 309, University of Pittsburgh, Department of Economics, revised Sep 2008.
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