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Reinforcement-Based vs. Belief-Based Learning Models in Experimental Asymmetric-Information

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Cited by:

  1. Haruvy, Ernan & Roth, Alvin E. & Unver, M. Utku, 2006. "The dynamics of law clerk matching: An experimental and computational investigation of proposals for reform of the market," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 457-486, March.
  2. Trabelsi, Emna & Hichri, Walid, 2021. "Central Bank Transparency with (semi-)public Information: Laboratory Experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
  3. Ianni, A., 2002. "Reinforcement learning and the power law of practice: some analytical results," Discussion Paper Series In Economics And Econometrics 203, Economics Division, School of Social Sciences, University of Southampton.
  4. Russell Golman & Scott Page, 2010. "Basins of attraction and equilibrium selection under different learning rules," Journal of Evolutionary Economics, Springer, vol. 20(1), pages 49-72, January.
  5. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
  6. Jacquemet, Nicolas & Koessler, Frédéric, 2013. "Using or hiding private information? An experimental study of zero-sum repeated games with incomplete information," Games and Economic Behavior, Elsevier, vol. 78(C), pages 103-120.
  7. Erhao Xie, 2019. "Monetary Payoff and Utility Function in Adaptive Learning Models," Staff Working Papers 19-50, Bank of Canada.
  8. 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.
  9. Yoella Bereby-Meyer & Alvin E. Roth, 2006. "The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation," American Economic Review, American Economic Association, vol. 96(4), pages 1029-1042, September.
  10. Healy, Paul J. & Park, Hyoeun, 2023. "Model selection accuracy in behavioral game theory: A simulation," European Economic Review, Elsevier, vol. 152(C).
  11. Shafran, Aric P., 2012. "Learning in games with risky payoffs," Games and Economic Behavior, Elsevier, vol. 75(1), pages 354-371.
  12. Cooper, David J. & Stockman, Carol Kraker, 2002. "Fairness and learning: an experimental examination," Games and Economic Behavior, Elsevier, vol. 41(1), pages 26-45, October.
  13. Gunnthorsdottir, Anna & Rapoport, Amnon, 2006. "Embedding social dilemmas in intergroup competition reduces free-riding," Organizational Behavior and Human Decision Processes, Elsevier, vol. 101(2), pages 184-199, November.
  14. Zacharias Maniadis & Joshua Miller, 2012. "The Weight of Personal Experience: an Experimental Measurement," Working Papers 452, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  15. Andreas Blume & Douglas V. DeJong & George R. Neumann & N. E. Savin, 2002. "Learning and communication in sender-receiver games: an econometric investigation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(3), pages 225-247.
  16. Anthony Ziegelmeyer & Frédéric Koessler & Kene Boun My & Laurent Denant-Boèmont, 2008. "Road Traffic Congestion and Public Information: An Experimental Investigation," Journal of Transport Economics and Policy, University of Bath, vol. 42(1), pages 43-82, January.
  17. Aurélien Nioche & Basile Garcia & Germain Lefebvre & Thomas Boraud & Nicolas P. Rougier & Sacha Bourgeois-Gironde, 2019. "Coordination over a unique medium of exchange under information scarcity," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-11, December.
  18. Marco LiCalzi & Roland Mühlenbernd, 2022. "Feature-weighted categorized play across symmetric games," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 1052-1078, June.
  19. Anton M Unakafov & Thomas Schultze & Alexander Gail & Sebastian Moeller & Igor Kagan & Stephan Eule & Fred Wolf, 2020. "Emergence and suppression of cooperation by action visibility in transparent games," PLOS Computational Biology, Public Library of Science, vol. 16(1), pages 1-32, January.
  20. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 313-331, November.
  21. David Cooper & Nick Feltovich & Alvin Roth & Rami Zwick, 2003. "Relative versus Absolute Speed of Adjustment in Strategic Environments: Responder Behavior in Ultimatum Games," Experimental Economics, Springer;Economic Science Association, vol. 6(2), pages 181-207, October.
  22. 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.
  23. Jürgen Bracht & Saul Lach & Eyal Winter, 2002. "Modeling Oligopolistic Price Adjustment in Micro Level Panel Data," CIG Working Papers FS IV 02-24, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
  24. Miguel A. Costa-Gomes & Georg Weizsäcker, 2008. "Stated Beliefs and Play in Normal-Form Games," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(3), pages 729-762.
  25. Aguirregabiria Victor & Xie Erhao, 2021. "Identification of Non-Equilibrium Beliefs in Games of Incomplete Information Using Experimental Data," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 1-26, January.
  26. Dana Heller, 2000. "Parametric Adaptive Learning," Econometric Society World Congress 2000 Contributed Papers 1496, Econometric Society.
  27. Rami Zwick & Amnon Rapoport, 2002. "Tacit Coordination in a Decentralized Market Entry Game with Fixed Capacity," Experimental Economics, Springer;Economic Science Association, vol. 5(3), pages 253-272, December.
  28. Mitropoulos, Atanasios, 2003. "An experiment on the value of structural information in a 2 x 2 repeated game," Economics Letters, Elsevier, vol. 78(1), pages 27-32, January.
  29. Laurent Denant-Boemont & Olivier L’Haridon, 2013. "La rationalité à l'épreuve de l'économie comportementale," Revue française d'économie, Presses de Sciences-Po, vol. 0(2), pages 35-89.
  30. Ed Hopkins, 2002. "Two Competing Models of How People Learn in Games," Econometrica, Econometric Society, vol. 70(6), pages 2141-2166, November.
  31. repec:wyi:journl:002151 is not listed on IDEAS
  32. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
  33. Holm, Håkan J. & Kawagoe, Toshiji, 2010. "Face-to-face lying - An experimental study in Sweden and Japan," Journal of Economic Psychology, Elsevier, vol. 31(3), pages 310-321, June.
  34. Anna Cartwright & Edward Cartwright, 2019. "Ransomware and Reputation," Games, MDPI, vol. 10(2), pages 1-14, June.
  35. Dan Ariely & Axel Ockenfels & Alvin E. Roth, 2005. "An Experimental Analysis of Ending Rules in Internet Auctions," RAND Journal of Economics, The RAND Corporation, vol. 36(4), pages 890-907, Winter.
  36. Mikhail Anufriev & Cars Hommes & Tomasz Makarewicz, 2019. "Simple Forecasting Heuristics that Make us Smart: Evidence from Different Market Experiments," Journal of the European Economic Association, European Economic Association, vol. 17(5), pages 1538-1584.
  37. Heinke, Steve & Olschewski, Sebastian & Rieskamp, Jörg, 2022. "Experiences and Asset Price Dynamics," VfS Annual Conference 2022 (Basel): Big Data in Economics 264017, Verein für Socialpolitik / German Economic Association.
  38. 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.
  39. Stefano Balietti & Brennan Klein & Christoph Riedl, 2021. "Optimal design of experiments to identify latent behavioral types," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 772-799, September.
  40. Anna Gunnthorsdottir & Amnon Rapoport, 2003. "The effect of sharing rules on group competition," Experimental 0307003, University Library of Munich, Germany.
  41. Golman, Russell & Page, Scott E., 2010. "Individual and cultural learning in stag hunt games with multiple actions," Journal of Economic Behavior & Organization, Elsevier, vol. 73(3), pages 359-376, March.
  42. Linan Diao & Jörg Rieskamp, 2011. "Reinforcement Learning in Repeated Portfolio Decisions," Jena Economics Research Papers 2011-009, Friedrich-Schiller-University Jena.
  43. Wolf Ze'ev Ehrblatt & Kyle Hyndman & Erkut Y. ÄOzbay & Andrew Schotter, 2006. "Convergence: An Experimental Study," Levine's Working Paper Archive 122247000000001148, David K. Levine.
  44. Duffy, John & Feltovich, Nick, 2002. "Do Actions Speak Louder Than Words? An Experimental Comparison of Observation and Cheap Talk," Games and Economic Behavior, Elsevier, vol. 39(1), pages 1-27, April.
  45. Nick Feltovich & Sobei H. Oda, 2014. "Special Section: Experiments on Learning, Methods, and Voting," Pacific Economic Review, Wiley Blackwell, vol. 19(3), pages 260-277, August.
  46. Shu-Heng Chen & Chung-Ching Tai, 2006. "On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 51-69, August.
  47. Timothy C. Salmon, 2001. "An Evaluation of Econometric Models of Adaptive Learning," Econometrica, Econometric Society, vol. 69(6), pages 1597-1628, November.
  48. Ido Erev & Alvin Roth & Robert Slonim & Greg Barron, 2007. "Learning and equilibrium as useful approximations: Accuracy of prediction on randomly selected constant sum games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 33(1), pages 29-51, October.
  49. Aguirregabiria, Victor & Xie, Erhao, 2016. "Identification of Biased Beliefs in Games of Incomplete Information Using Experimental Data," CEPR Discussion Papers 11275, C.E.P.R. Discussion Papers.
  50. 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.
  51. Masiliūnas, Aidas, 2023. "Learning in rent-seeking contests with payoff risk and foregone payoff information," Games and Economic Behavior, Elsevier, vol. 140(C), pages 50-72.
  52. Christopher P. Chambers & Nicolas S. Lambert, 2021. "Dynamic Belief Elicitation," Econometrica, Econometric Society, vol. 89(1), pages 375-414, January.
  53. Olschewski, Sebastian & Diao, Linan & Rieskamp, Jörg, 2021. "Reinforcement learning about asset variability and correlation in repeated portfolio decisions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
  54. Rapoport, Amnon & Stein, William E. & Parco, James E. & Nicholas, Thomas E., 2003. "Equilibrium play and adaptive learning in a three-person centipede game," Games and Economic Behavior, Elsevier, vol. 43(2), pages 239-265, May.
  55. Emna Trabelsi, 2024. "Welfare fragmented information effects: The cost-benefit analysis and Trade-offs," Journal of Information Economics, Anser Press, vol. 2(1), pages 1-32, March.
  56. 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.
  57. Atanasios Mitropoulos, 2001. "On the Measurement of the Predictive Success of Learning Theories in Repeated Games," Experimental 0110001, University Library of Munich, Germany.
  58. Dziubiński, Marcin & Roy, Jaideep, 2012. "Popularity of reinforcement-based and belief-based learning models: An evolutionary approach," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 433-454.
  59. Ianni, A., 2002. "Reinforcement learning and the power law of practice: some analytical results," Discussion Paper Series In Economics And Econometrics 0203, Economics Division, School of Social Sciences, University of Southampton.
  60. Al Hajj Hassan, Lama & Mahmassani, Hani S. & Chen, Ying, 2020. "Reinforcement learning framework for freight demand forecasting to support operational planning decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
  61. Wen, Yuanji, 2018. "Voluntary information acquisition in an asymmetric-Information game:comparing learning theories in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 202-219.
  62. Oyarzun, Carlos & Sanjurjo, Adam & Nguyen, Hien, 2017. "Response functions," European Economic Review, Elsevier, vol. 98(C), pages 1-31.
  63. Ido Erev & Alvin E. Roth & Robert Slonim, 2016. "Minimax across a population of games," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 2(2), pages 144-156, November.
  64. Irene C. L. Ng & Lu‐Ming Tseng, 2008. "Learning to be Sociable: The Evolution of Homo Economicus," American Journal of Economics and Sociology, Wiley Blackwell, vol. 67(2), pages 265-286, April.
  65. Atanasios Mitropoulos, 2001. "Little Information, Efficiency, and Learning - An Experimental Study," Game Theory and Information 0110002, University Library of Munich, Germany.
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