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Sophisticated Experience-Weighted Attraction Learning and Strategic Teaching in Repeated Games

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Cited by:

  1. Ulrich Doraszelski & Gregory Lewis & Ariel Pakes, 2018. "Just Starting Out: Learning and Equilibrium in a New Market," American Economic Review, American Economic Association, vol. 108(3), pages 565-615, March.
  2. Zhang, Yang & Du, Xiaomin, 2017. "Network effects on strategic interactions: A laboratory approach," Journal of Economic Behavior & Organization, Elsevier, vol. 143(C), pages 133-146.
  3. Todd Guilfoos & Andreas Duus Pape, 2020. "Estimating Case-Based Learning," Games, MDPI, vol. 11(3), pages 1-25, September.
  4. Francesco Fallucchi & Jan Niederreiter & Massimo Riccaboni, 2021. "Learning and dropout in contests: an experimental approach," Theory and Decision, Springer, vol. 90(2), pages 245-278, March.
  5. Terracol, Antoine & Vaksmann, Jonathan, 2009. "Dumbing down rational players: Learning and teaching in an experimental game," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 54-71, May.
  6. Kyle Hyndman & Antoine Terracol & Jonathan Vaksmann, 2009. "Learning and sophistication in coordination games," Experimental Economics, Springer;Economic Science Association, vol. 12(4), pages 450-472, December.
  7. Blume, A. & DeJong, D.V. & Maier, M., 2005. "Learning Strategic Sophistication," Discussion Paper 2005-59, Tilburg University, Center for Economic Research.
  8. Andreoni, James & Samuelson, Larry, 2006. "Building rational cooperation," Journal of Economic Theory, Elsevier, vol. 127(1), pages 117-154, March.
  9. Aidas Masiliunas, 2016. "Inefficient Lock-in with Sophisticated and Myopic Players," AMSE Working Papers 1615, Aix-Marseille School of Economics, France, revised 19 Apr 2016.
  10. Feri, Francesco & Gantner, Anita & Moffatt, Peter G. & Erharter, Dominik, 2022. "Leading to efficient coordination: Individual traits, beliefs and choices in the minimum effort game," Games and Economic Behavior, Elsevier, vol. 136(C), pages 403-427.
  11. 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).
  12. Josephson, Jens, 2008. "A numerical analysis of the evolutionary stability of learning rules," Journal of Economic Dynamics and Control, Elsevier, vol. 32(5), pages 1569-1599, May.
  13. Vincent P. Crawford, 2003. "Lying for Strategic Advantage: Rational and Boundedly Rational Misrepresentation of Intentions," American Economic Review, American Economic Association, vol. 93(1), pages 133-149, March.
  14. Burkhard C. Schipper, 2022. "Strategic Teaching and Learning in Games," American Economic Journal: Microeconomics, American Economic Association, vol. 14(3), pages 321-352, August.
  15. Bayer, Péter & Herings, P. Jean-Jacques & Peeters, Ronald, 2021. "Farsighted manipulation and exploitation in networks," Journal of Economic Theory, Elsevier, vol. 196(C).
  16. Erhao Xie, 2019. "Monetary Payoff and Utility Function in Adaptive Learning Models," Staff Working Papers 19-50, Bank of Canada.
  17. Crawford, Vincent P., 2002. "Introduction to Experimental Game Theory," Journal of Economic Theory, Elsevier, vol. 104(1), pages 1-15, May.
  18. Bogliacino, Francesco & Codagnone, Cristiano, 2021. "Microfoundations, behaviour, and evolution: Evidence from experiments," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 372-385.
  19. David Cooper, 2007. "An introduction to the symposium on behavioral game theory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 33(1), pages 1-10, October.
  20. Cooper, Kristen & Schneider, Henry & Waldman, Michael, 2021. "Limited rationality and the strategic environment: Further evidence from a pricing game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
  21. 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.
  22. Jordi Brandts & David J. Cooper, 2006. "A Change Would Do You Good .... An Experimental Study on How to Overcome Coordination Failure in Organizations," American Economic Review, American Economic Association, vol. 96(3), pages 669-693, June.
  23. Orlando, Giuseppe, 2022. "Simulating heterogeneous corporate dynamics via the Rulkov map," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 32-42.
  24. Parkhurst, Gregory M. & Shogren, Jason F., 2007. "Spatial incentives to coordinate contiguous habitat," Ecological Economics, Elsevier, vol. 64(2), pages 344-355, December.
  25. Ron Borkovsky & Paul Ellickson & Brett Gordon & Victor Aguirregabiria & Pedro Gardete & Paul Grieco & Todd Gureckis & Teck-Hua Ho & Laurent Mathevet & Andrew Sweeting, 2015. "Multiplicity of equilibria and information structures in empirical games: challenges and prospects," Marketing Letters, Springer, vol. 26(2), pages 115-125, June.
  26. Callander, Steven & Plott, Charles R., 2005. "Principles of network development and evolution: an experimental study," Journal of Public Economics, Elsevier, vol. 89(8), pages 1469-1495, August.
  27. Alan Mehlenbacher, 2007. "Multiagent System Platform for Auction Simulations," Department Discussion Papers 0706, Department of Economics, University of Victoria.
  28. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2022. "Learning in two-dimensional beauty contest games: Theory and experimental evidence," Journal of Economic Theory, Elsevier, vol. 201(C).
  29. Peeta, Srinivas, 2016. "A marginal utility day-to-day traffic evolution model based on one-step strategic thinkingAuthor-Name: He, Xiaozheng," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 237-255.
  30. 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.
  31. Yangbo Song & Mofei Zhao, 2023. "Cooperative teaching and learning of actions," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(4), pages 1289-1327, November.
  32. Martin G. Kocher & Matthias Sutter & Florian Wakolbinger, 2007. "The Impact of Naïve Advice and Observational Learning in Beauty-contest Games," Tinbergen Institute Discussion Papers 07-015/1, Tinbergen Institute.
  33. He, Simin & Wu, Jiabin, 2020. "Compromise and coordination: An experimental study," Games and Economic Behavior, Elsevier, vol. 119(C), pages 216-233.
  34. repec:wyi:journl:002151 is not listed on IDEAS
  35. Shota Fujishima, 2015. "The emergence of cooperation through leadership," International Journal of Game Theory, Springer;Game Theory Society, vol. 44(1), pages 17-36, February.
  36. Duffy, John & Hopkins, Ed, 2005. "Learning, information, and sorting in market entry games: theory and evidence," Games and Economic Behavior, Elsevier, vol. 51(1), pages 31-62, April.
  37. V. P. Crawford, 2014. "Boundedly rational versus optimization-based models of strategic thinking and learning in games," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 5.
  38. Masiliūnas, Aidas, 2017. "Overcoming coordination failure in a critical mass game: Strategic motives and action disclosure," Journal of Economic Behavior & Organization, Elsevier, vol. 139(C), pages 214-251.
  39. Timothy Cason & Sau-Him Lau & Vai-Lam Mui, 2013. "Learning, teaching, and turn taking in the repeated assignment game," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 54(2), pages 335-357, October.
  40. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
  41. Eugenio Proto & Aldo Rustichini & Andis Sofianos, 2020. "Intelligence, Errors and Strategic Choices in the Repeated Prisoners Dilemma," Working Papers 2020_07, Business School - Economics, University of Glasgow.
  42. Farokhi, Farhad & Johansson, Karl H., 2015. "A piecewise-constant congestion taxing policy for repeated routing games," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 123-143.
  43. Bryan McCannon, 2011. "Coordination between a sophisticated and fictitious player," Journal of Economics, Springer, vol. 102(3), pages 263-273, April.
  44. Li, Xiaopeng & Han, Weiwei & Yang, Wenjun & Wang, Juan & Xia, Chengyi & Li, Hui-jia & Shi, Yong, 2022. "Impact of resource-based conditional interaction on cooperation in spatial social dilemmas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
  45. Guerci, E. & Kirman, A. & Moulet, S., 2014. "Learning to bid in sequential Dutch auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 374-393.
  46. Choi, S & Goyal, S. & Moisan, F., 2019. "Connectors and Influencers," Cambridge Working Papers in Economics 1935, Faculty of Economics, University of Cambridge.
  47. Alan Mehlenbacher, 2009. "Multiagent System Simulations of Signal Averaging in English Auctions with Two-Dimensional Value Signals," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 119-143, September.
  48. Yu Wang & Ernan Haruvy, 2013. "Tiers in One-Sided Matching Markets: Theory and Experimental Investigation," Management Science, INFORMS, vol. 59(6), pages 1458-1477, June.
  49. Mengel, Friederike, 2014. "Learning by (limited) forward looking players," Journal of Economic Behavior & Organization, Elsevier, vol. 108(C), pages 59-77.
  50. Choi, S. & Goyal, G. & Moisan, F., 2020. "Large Scale Experiments on Networks: A New Platform with Applications," Cambridge Working Papers in Economics 2063, Faculty of Economics, University of Cambridge.
  51. Heller, Yuval & Mohlin, Erik, 2019. "Coevolution of deception and preferences: Darwin and Nash meet Machiavelli," Games and Economic Behavior, Elsevier, vol. 113(C), pages 223-247.
  52. Wako Yoshida & Ray J Dolan & Karl J Friston, 2008. "Game Theory of Mind," PLOS Computational Biology, Public Library of Science, vol. 4(12), pages 1-14, December.
  53. Kimbrough, Erik O. & Robalino, Nikolaus & Robson, Arthur J., 2017. "Applying “theory of mind”: Theory and experiments," Games and Economic Behavior, Elsevier, vol. 106(C), pages 209-226.
  54. Weizsacker, Georg, 2003. "Ignoring the rationality of others: evidence from experimental normal-form games," Games and Economic Behavior, Elsevier, vol. 44(1), pages 145-171, July.
  55. Erik O. Kimbrough & Nikolaus Robalino & Arthur J. Robson, 2013. "The Evolution of 'Theory of Mind': Theory and Experiments," Cowles Foundation Discussion Papers 1908, Cowles Foundation for Research in Economics, Yale University.
  56. Masiliūnas, Aidas, 2019. "Overcoming inefficient lock-in in coordination games with sophisticated and myopic players," Mathematical Social Sciences, Elsevier, vol. 100(C), pages 1-12.
  57. Wilfred Amaldoss & Sanjay Jain, 2010. "Reference Groups and Product Line Decisions: An Experimental Investigation of Limited Editions and Product Proliferation," Management Science, INFORMS, vol. 56(4), pages 621-644, April.
  58. Jaromír Kovářík & Friederike Mengel & José Gabriel Romero, 2018. "Learning in network games," Quantitative Economics, Econometric Society, vol. 9(1), pages 85-139, March.
    • Kovarik, Jaromir & Mengel, Friederike & Romero, José Gabriel, 2012. "Learning in Network Games," IKERLANAK http://www-fae1-eao1-ehu-, Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I.
  59. Wilfred Amaldoss & Teck-Hua Ho & Aradhna Krishna & Kay-Yut Chen & Preyas Desai & Ganesh Iyer & Sanjay Jain & Noah Lim & John Morgan & Ryan Oprea & Joydeep Srivasatava, 2008. "Experiments on strategic choices and markets," Marketing Letters, Springer, vol. 19(3), pages 417-429, December.
  60. Xie, Erhao, 2021. "Empirical properties and identification of adaptive learning models in behavioral game theory," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 798-821.
  61. Drouvelis, Michalis & Pearce, Graeme, 2023. "Leadership under the shadow of the future: Intelligence and strategy choice in infinitely repeated games," European Economic Review, Elsevier, vol. 152(C).
  62. Nikolaus Robalino & Arthur Robson, 2016. "The Evolution of Strategic Sophistication," American Economic Review, American Economic Association, vol. 106(4), pages 1046-1072, April.
  63. Cooper, Kristen B. & Schneider, Henry S. & Waldman, Michael, 2017. "Limited rationality and the strategic environment: Further theory and experimental evidence," Games and Economic Behavior, Elsevier, vol. 106(C), pages 188-208.
  64. Burkhard Schipper, 2011. "Strategic Control of Myopic Best Reply in Repeated Games," Working Papers 284, University of California, Davis, Department of Economics.
  65. Alan Mehlenbacher, 2007. "Multiagent System Simulations of Sealed-Bid Auctions with Two-Dimensional Value Signals," Department Discussion Papers 0707, Department of Economics, University of Victoria.
  66. Jan Niederreiter, 2023. "Broadening Economics in the Era of Artificial Intelligence and Experimental Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(1), pages 265-294, March.
  67. Rutström, E. Elisabet & Wilcox, Nathaniel T., 2009. "Stated beliefs versus inferred beliefs: A methodological inquiry and experimental test," Games and Economic Behavior, Elsevier, vol. 67(2), pages 616-632, November.
  68. Burkhard Schipper, 2015. "Strategic teaching and learning in games," Working Papers 151, University of California, Davis, Department of Economics.
  69. David J. Cooper & John H. Kagel, 2005. "Are Two Heads Better Than One? Team versus Individual Play in Signaling Games," American Economic Review, American Economic Association, vol. 95(3), pages 477-509, June.
  70. Burkhard C. Schipper, 2019. "Dynamic Exploitation of Myopic Best Response," Dynamic Games and Applications, Springer, vol. 9(4), pages 1143-1167, December.
  71. Simonsohn, Uri & Karlsson, Niklas & Loewenstein, George & Ariely, Dan, 2008. "The tree of experience in the forest of information: Overweighing experienced relative to observed information," Games and Economic Behavior, Elsevier, vol. 62(1), pages 263-286, January.
  72. Andrea Morone & Serena Sandri & Tobias Uske, 2006. "On the absorbability of the Guessing Game Theory - A Theoretical and Experimental Analysis," Papers on Strategic Interaction 2006-33, Max Planck Institute of Economics, Strategic Interaction Group.
  73. Jakub Bielawski & Thiparat Chotibut & Fryderyk Falniowski & Michal Misiurewicz & Georgios Piliouras, 2022. "Unpredictable dynamics in congestion games: memory loss can prevent chaos," Papers 2201.10992, arXiv.org, revised Jan 2022.
  74. Martin Kocher & Matthias Sutter & Florian Wakolbinger, 2014. "Social Learning in Beauty‐Contest Games," Southern Economic Journal, John Wiley & Sons, vol. 80(3), pages 586-613, January.
  75. Nathaniel T Wilcox, 2003. "Heterogeneity and Learning Principles," Levine's Bibliography 666156000000000435, UCLA Department of Economics.
  76. Kyle Hyndman & Dorothée Honhon, 2020. "Flexibility in Long-Term Relationships: An Experimental Study," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 273-291, March.
  77. Iriberri, Nagore & García-Pola, Bernardo, 2019. "Naivete and Sophistication in Initial and Repeated Play in Games," CEPR Discussion Papers 14088, C.E.P.R. Discussion Papers.
  78. Teck-Hua Ho & Keith Weigelt, 2005. "Trust among Strangers," Game Theory and Information 0504006, University Library of Munich, Germany.
  79. Kyle Hyndman & Erkut Özbay & Andrew Schotter & Wolf Ehrblatt, 2012. "Belief formation: an experiment with outside observers," Experimental Economics, Springer;Economic Science Association, vol. 15(1), pages 176-203, March.
  80. Friedman, Eric & Shor, Mikhael & Shenker, Scott & Sopher, Barry, 2004. "An experiment on learning with limited information: nonconvergence, experimentation cascades, and the advantage of being slow," Games and Economic Behavior, Elsevier, vol. 47(2), pages 325-352, May.
  81. Eugenio Proto & Aldo Rustichini & Andis Sofianos, 2019. "Intelligence, Personality, and Gains from Cooperation in Repeated Interactions," Journal of Political Economy, University of Chicago Press, vol. 127(3), pages 1351-1390.
  82. Jinkwon Lee, 2007. "Repetition And Financial Incentives In Economics Experiments," Journal of Economic Surveys, Wiley Blackwell, vol. 21(3), pages 628-681, July.
  83. 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.
  84. Amado, André & Huang, Weini & Campos, Paulo R.A. & Ferreira, Fernando Fagundes, 2015. "Learning process in public goods games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 21-31.
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