Do we detect and exploit mixed strategy play by opponents?
AbstractWe conducted an experiment in which each subject repeatedly played a game with a unique Nash equilibrium in mixed strategies against some computer-implemented mixed strategy. The results indicate subjects are successful at detecting and exploiting deviations from Nash equilibrium. However, there is heterogeneity in subject behavior and performance. We present a one variable model of dynamic random belief formation which rationalizes observed heterogeneity and other features of the data. Copyright Springer-Verlag 2004
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Bibliographic InfoArticle provided by Springer in its journal Mathematical Methods of Operations Research.
Volume (Year): 59 (2004)
Issue (Month): 3 (07)
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Web page: http://www.springerlink.com/link.asp?id=120306
Other versions of this item:
- Jason Shachat & J. Todd Swarthout, 2003. "Do We Detect and Exploit Mixed Strategy Play by Opponents?," Experimental 0310001, EconWPA.
- C9 - Mathematical and Quantitative Methods - - Design of Experiments
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- Jason Shachat & J. Todd Swarthout, 2002.
"Learning about Learning in Games through Experimental Control of Strategic Interdependence,"
Experimental Economics Center Working Paper Series
2006-17, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Aug 2008.
- Shachat, Jason & Swarthout, J. Todd, 2012. "Learning about learning in games through experimental control of strategic interdependence," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 383-402.
- Jason Shachat & J. Todd Swarthout, 2003. "Learning about Learning in Games through Experimental Control of Strategic Interdependence," Experimental 0310003, EconWPA.
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- Jason Shachat & J. Todd Swarthout & Lijia Wei, 2012.
"A hidden Markov model for the detection of pure and mixed strategy play in games,"
Experimental Economics Center Working Paper Series
2012-11, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
- Shachat, Jason & Swarthout, J. Todd & Wei, Lijia, 2012. "A hidden Markov model for the detection of pure and mixed strategy play in games," MPRA Paper 39896, University Library of Munich, Germany.
- Steven Levitt & John List & David Reiley, 2010. "What happens in the field stays in the field: Professionals do not play minimax in laboratory experiments," Artefactual Field Experiments 00080, The Field Experiments Website.
- Spiliopoulos, Leonidas, 2008. "Do repeated game players detect patterns in opponents? Revisiting the Nyarko & Schotter belief elicitation experiment," MPRA Paper 6666, University Library of Munich, Germany.
- Steven D. Levitt & John A. List & David H. Reiley, 2010.
"What Happens in the Field Stays in the Field: Exploring Whether Professionals Play Minimax in Laboratory Experiments,"
Econometric Society, vol. 78(4), pages 1413-1434, 07.
- Steven D. Levitt & John A. List & David H. Reiley, Jr., 2009. "What Happens in the Field Stays in the Field: Exploring Whether Professionals Play Minimax in Laboratory Experiments," NBER Working Papers 15609, National Bureau of Economic Research, Inc.
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- Spiliopoulos, Leonidas, 2008. "Humans versus computer algorithms in repeated mixed strategy games," MPRA Paper 6672, University Library of Munich, Germany.
- Cardella, Eric, 2012. "Learning to make better strategic decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 382-392.
- Kenneth Kovash & Steven D. Levitt, 2009. "Professionals Do Not Play Minimax: Evidence from Major League Baseball and the National Football League," NBER Working Papers 15347, National Bureau of Economic Research, Inc.
- Spiliopoulos, Leonidas, 2012. "Pattern recognition and subjective belief learning in a repeated constant-sum game," Games and Economic Behavior, Elsevier, vol. 75(2), pages 921-935.
- repec:wyi:wpaper:002048 is not listed on IDEAS
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