Strategy Similarity and Coordination
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Other versions of this item:
- Rajiv Sarin & Farshid Vahid, 2004. "Strategy Similarity and Coordination," Economic Journal, Royal Economic Society, vol. 114(497), pages 506-527, July.
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Cited by:
- Ralph-C. Bayer & Elke Renner & Rupert Sausgruber, 2013.
"Confusion and learning in the voluntary contributions game,"
Experimental Economics, Springer;Economic Science Association, vol. 16(4), pages 478-496, December.
- Ralph-C Bayer & Elke Renner & Rupert Sausbruber, 2012. "Confusion and Learning in the Voluntary Contributions Game," Discussion Papers 2012-18, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
- Dürsch, Peter & Kolb, Albert & Oechssler, Jörg & Schipper, Burkhard C., 2005.
"Rage Against the Machines: How Subjects Learn to Play Against Computers,"
Bonn Econ Discussion Papers
31/2005, University of Bonn, Bonn Graduate School of Economics (BGSE).
- Dürsch, Peter & Kolb, Albert & Oechssler, Jörg & Schipper, Burkhard C., 2005. "Rage Against the Machines: How Subjects Learn to Play Against Computers," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 63, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
- Dürsch, Peter & Kolb, Albert & Oechssler, Jörg & Schipper, Burkhard, 2005. "Rage Against the Machines - How Subjects Learn to Play Against Computers," Sonderforschungsbereich 504 Publications 05-36, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
- Burkhard C. Schipper & Jörg Oechssler & Albert Kolb, 2005. "Rage Against the Machines: How Subjects Learn to Play Against Computers," Working Papers 323, University of California, Davis, Department of Economics.
- Dürsch, Peter & Kolb, Albert & Oechssler, Jörg & Schipper, Burkhard, 2005. "Rage against the machines : how subjects learn to play against computers," Papers 05-36, Sonderforschungsbreich 504.
- Peter Duersch & Albert Kolb & Joerg Oechssler & Burkhard Schipper, 2005. "Rage Against the Machines: How Subjects Learn to Play Against Computers," Game Theory and Information 0510012, University Library of Munich, Germany.
- Mohlin, Erik & Östling, Robert & Wang, Joseph Tao-yi, 2020. "Learning by similarity-weighted imitation in winner-takes-all games," Games and Economic Behavior, Elsevier, vol. 120(C), pages 225-245.
- Dürsch, Peter & Kolb, Albert & Oechssler, Jörg & Schipper, Burkhard, 2005.
"Rage against the machines : how subjects learn to play against computers,"
Papers
05-36, Sonderforschungsbreich 504.
- Burkhard C. Schipper & Jörg Oechssler & Albert Kolb, 2005. "Rage Against the Machines: How Subjects Learn to Play Against Computers," Working Papers 516, University of California, Davis, Department of Economics.
- Dürsch, Peter & Kolb, Albert & Oechssler, Jörg & Schipper, Burkhard, 2005. "Rage Against the Machines - How Subjects Learn to Play Against Computers," Sonderforschungsbereich 504 Publications 05-36, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
- Peter Dürsch & Albert Kolb & Jörg Oechssler & Burkhard C. Schipper, 2005. "Rage Against the Machines: How Subjects Learn to Play Against Computers," Working Papers 0423, University of Heidelberg, Department of Economics, revised Oct 2005.
- Peter Duersch & Albert Kolb & Joerg Oechssler & Burkhard Schipper, 2005. "Rage Against the Machines: How Subjects Learn to Play Against Computers," Game Theory and Information 0510012, University Library of Munich, Germany.
- Dürsch, Peter & Kolb, Albert & Oechssler, Jörg & Schipper, Burkhard C., 2005. "Rage Against the Machines: How Subjects Learn to Play Against Computers," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 63, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
- Ralph-C Bayer & Elke Renner & Rupert Sausgruber, 2009.
"Confusion and Reinforcement Learning in Experimental Public Goods Games,"
NRN working papers
2009-22, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
- Ralph-C Bayer & Elke Renner & Rupert Sausgruber, 2009. "Confusion and Reinforcement Learning in Experimental Public Good Games," Discussion Papers 2009-18, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
- Ralph-C Bayer & Elke Renner & Rupert Sausgruber, 2009. "Confusion and Reinforcement Learning in Experimental Public Good Games," Discussion Papers 2009-18, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
- Ralph-C. Bayer & Elke Renner & Rupert Sausgruber, 2009. "Confusion and Reinforcement Learning in Experimental Public Goods Games," Working Papers 2009-22, Faculty of Economics and Statistics, University of Innsbruck.
- Brit Grosskopf & Rajiv Sarin & Elizabeth Watson, 2015. "An experiment on case-based decision making," Theory and Decision, Springer, vol. 79(4), pages 639-666, December.
- Beggs Alan, 2009.
"Learning in Bayesian Games with Binary Actions,"
The B.E. Journal of Theoretical Economics, De Gruyter, vol. 9(1), pages 1-30, September.
- Alan Beggs, 2005. "Learning in Bayesian Games with Binary Actions," Economics Series Working Papers 232, University of Oxford, Department of Economics.
- Oyarzun, Carlos & Ruf, Johannes, 2014. "Convergence in models with bounded expected relative hazard rates," Journal of Economic Theory, Elsevier, vol. 154(C), pages 229-244.
- Castañeda, Gonzalo & Chávez-Juárez, Florian & Guerrero, Omar A., 2018.
"How do governments determine policy priorities? Studying development strategies through spillover networks,"
Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 335-361.
- Omar A. Guerrero & Gonzalo Casta~neda & Florian Ch'avez-Ju'arez, 2019. "How do governments determine policy priorities? Studying development strategies through spillover networks," Papers 1902.00432, arXiv.org.
- Hu Sun & Yun Wang, 2019. "Do On-lookers See Most of the Game? Evaluating Job-seekers' Competitiveness of Oneself versus of Others in a Labor Market Experiment," Working Papers 2019-07-11, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
- Teck H. Ho & Xin Wang & Colin F. Camerer, 2008. "Individual Differences in EWA Learning with Partial Payoff Information," Economic Journal, Royal Economic Society, vol. 118(525), pages 37-59, January.
- Wu, Hang & Bayer, Ralph-C, 2015.
"Learning from inferred foregone payoffs,"
Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 445-458.
- Ralph-C. Bayer & Hang Wu, 2013. "Learning from Inferred Foregone Payoffs," School of Economics and Public Policy Working Papers 2013-22, University of Adelaide, School of Economics and Public Policy.
- Peter Duersch & Albert Kolb & Jörg Oechssler & Burkhard Schipper, 2010. "Rage against the machines: how subjects play against learning algorithms," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 43(3), pages 407-430, June.
More about this item
Keywords
Econometric analysis of experimental data; Adaptive learning; Similarity; Coordination games; Payoff assessments without probabilities;All these keywords.
JEL classification:
- C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EXP-2002-04-25 (Experimental Economics)
- NEP-GTH-2002-05-01 (Game Theory)
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