Observational and reinforcement pattern-learning: An exploratory study
Author
Abstract
Suggested Citation
DOI: 10.1016/j.euroecorev.2018.01.009
Download full text from publisher
As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.
Other versions of this item:
- Nobuyuki Hanaki & Alan Kirman & Paul Pezanis-Christou, 2018. "Observational and reinforcement pattern-learning : An exploratory study," Post-Print halshs-01723513, HAL.
- Nobuyuki Hanaki & Alan Kirman & Paul Pezanis-Christou, 2016. "Observational and Reinforcement Pattern-learning: An Exploratory Study," GREDEG Working Papers 2016-24, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Jun 2017.
References listed on IDEAS
- Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
- James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
- Ralph-C. Bayer & Hang Wu, 2013. "Do We Learn from Our Own Experience or from Observing Others?," School of Economics and Public Policy Working Papers 2013-21, University of Adelaide, School of Economics and Public Policy.
- Sonsino, Doron, 1997.
"Learning to Learn, Pattern Recognition, and Nash Equilibrium,"
Games and Economic Behavior, Elsevier, vol. 18(2), pages 286-331, February.
- D. Sonsino, 2010. "Learning to Learn, Pattern Recognition and Nash Equilibrium," Levine's Working Paper Archive 578, David K. Levine.
- Ben Greiner, 2015. "Subject pool recruitment procedures: organizing experiments with ORSEE," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 114-125, July.
- Bossan, Benjamin & Jann, Ole & Hammerstein, Peter, 2015. "The evolution of social learning and its economic consequences," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 266-288.
- 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.
- Jeffrey Banks & David Porter & Mark Olson, 1997. "An experimental analysis of the bandit problem," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 10(1), pages 55-77.
- Bray, Margaret, 1982. "Learning, estimation, and the stability of rational expectations," Journal of Economic Theory, Elsevier, vol. 26(2), pages 318-339, April.
- Spiliopoulos, Leonidas, 2013. "Beyond fictitious play beliefs: Incorporating pattern recognition and similarity matching," Games and Economic Behavior, Elsevier, vol. 81(C), pages 69-85.
- Herrnstein, R J, 1991. "Experiments on Stable Suboptimality in Individual Behavior," American Economic Review, American Economic Association, vol. 81(2), pages 360-364, May.
- McKinney, C. Nicholas & Van Huyck, John B., 2013. "Eureka Learning: Heuristics and response time in perfect information games," Games and Economic Behavior, Elsevier, vol. 79(C), pages 223-232.
- Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
- Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
- Woodford, Michael, 1990.
"Learning to Believe in Sunspots,"
Econometrica, Econometric Society, vol. 58(2), pages 277-307, March.
- Woodford, Michael, 1986. "Learning to Believe in Sunspots," Working Papers 86-16, C.V. Starr Center for Applied Economics, New York University.
- Hu, Yingyao & Kayaba, Yutaka & Shum, Matthew, 2013.
"Nonparametric learning rules from bandit experiments: The eyes have it!,"
Games and Economic Behavior, Elsevier, vol. 81(C), pages 215-231.
- Yingyao Hu & Yutaka Kayaba & Matt Shum, 2010. "Nonparametric Learning Rules from Bandit Experiments: The Eyes have it!," Economics Working Paper Archive 560, The Johns Hopkins University,Department of Economics.
- Yingyao Hu & Yutaka Kayaba & Matthew Shum, 2010. "Nonparametric learning rules from bandit experiments: the eyes have it!," CeMMAP working papers CWP15/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
- Lones Smith & Peter Norman Sørensen, 2011. "observational learning," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
- Armantier, Olivier, 2004.
"Does observation influence learning?,"
Games and Economic Behavior, Elsevier, vol. 46(2), pages 221-239, February.
- Olivier Armantier, 2001. "Does Observation Influence Learning?," Department of Economics Working Papers 01-04, Stony Brook University, Department of Economics.
- Dufwenberg, Martin & Sundaram, Ramya & Butler, David J., 2010. "Epiphany in the Game of 21," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 132-143, August.
- Daniella Laureiro-Martínez & Stefano Brusoni & Nicola Canessa & Maurizio Zollo, 2015. "Understanding the exploration–exploitation dilemma: An fMRI study of attention control and decision-making performance," Strategic Management Journal, Wiley Blackwell, vol. 36(3), pages 319-338, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Jean Paul Rabanal & Aleksei Chernulich & John Horowitz & Olga A. Rud & Manizha Sharifova, 2019. "Market timing under public and private information," Working Papers 151, Peruvian Economic Association.
- Eric Innocenti & Corinne Idda & Dominique Prunetti & Pierre-Régis Gonsolin, 2022. "Agent-based modelling of a small-scale fishery in Corsica," Post-Print hal-03886619, HAL.
- Nobuyuki Hanaki & Ali I. Ozkes, 2023. "Strategic environment effect and communication," Experimental Economics, Springer;Economic Science Association, vol. 26(3), pages 588-621, July.
- Chernulich, Aleksei & Horowitz, John & Rabanal, Jean Paul & Rud, Olga A & Sharifova , Manizha, 2021. "Entry and exit decisions under public and private information: An experiment," UiS Working Papers in Economics and Finance 2021/3, University of Stavanger.
- Aleksei Chernulich & John Horowitz & Jean Paul Rabanal & Olga Rud & Manizha Sharifova, 2023. "Entry and exit decisions under public and private information: an experiment," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 339-356, April.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Nobuyuki Hanaki & Alan P. Kirman & Paul Pezanis-Christou, 2016.
"Counter Intuitive Learning: An Exploratory Study,"
CESifo Working Paper Series
6029, CESifo.
- Nobuyuki Hanaki & Alan Kirman & Paul Pezanis-Christou, 2016. "Counter intuitive learning: An exploratory study," Working Papers hal-01358716, HAL.
- Nobuyuki Hanaki & Alan Kirman & Paul Pezanis-Christou, 2016. "Counter Intuitive Learning: An Exploratory Study," School of Economics and Public Policy Working Papers 2016-12, University of Adelaide, School of Economics and Public Policy.
- Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2017.
"Meaningful learning in weighted voting games: an experiment,"
Theory and Decision, Springer, vol. 83(1), pages 131-153, June.
- Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
- Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2017. "Meaningful Learning in Weighted Voting Games: An Experiment," Post-Print halshs-01216244, HAL.
- 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.
- Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," Working Papers halshs-01216244, HAL.
- Ioannou, Christos A. & Romero, Julian, 2014. "A generalized approach to belief learning in repeated games," Games and Economic Behavior, Elsevier, vol. 87(C), pages 178-203.
- Naoki Watanabe, 2022. "Reconsidering Meaningful Learning in a Bandit Experiment on Weighted Voting: Subjects’ Search Behavior," The Review of Socionetwork Strategies, Springer, vol. 16(1), pages 81-107, April.
- Dennis A. V. Dittrich & Werner Güth & Martin G. Kocher & Paul Pezanis‐Christou, 2012.
"Loss Aversion and Learning to Bid,"
Economica, London School of Economics and Political Science, vol. 79(314), pages 226-257, April.
- Dennis A. V. Dittrich & Werner Güth & Martin Kocher & Paul Pezanis-Christou, "undated". "Loss aversion and learning to bid," Papers on Strategic Interaction 2005-03, Max Planck Institute of Economics, Strategic Interaction Group.
- Dittrich, Dennis Alexis Valin & Güth, Werner & Kocher, Martin G. & Pezanis-Christou, Paul, 2012. "Loss aversion and learning to bid," Munich Reprints in Economics 18205, University of Munich, Department of Economics.
- Oyarzun, Carlos & Sanjurjo, Adam & Nguyen, Hien, 2017. "Response functions," European Economic Review, Elsevier, vol. 98(C), pages 1-31.
- Shafran, Aric P., 2012. "Learning in games with risky payoffs," Games and Economic Behavior, Elsevier, vol. 75(1), pages 354-371.
- 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.
- 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.
- Aidas Masiliunas, 2016. "Overcoming Coordination Failure in a Critical Mass Game: Strategic Motives and Action Disclosure," Working Papers halshs-01273429, HAL.
- Aidas Masiliunas, 2016. "Overcoming Coordination Failure in a Critical Mass Game: Strategic Motives and Action Disclosure," AMSE Working Papers 1609, Aix-Marseille School of Economics, France.
- Aidas Masiliūnas, 2017. "Overcoming coordination failure in a critical mass game: Strategic motives and action disclosure," Post-Print hal-01681048, HAL.
- Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
- Alina Ferecatu & Arnaud De Bruyn, 2022. "Understanding Managers’ Trade-Offs Between Exploration and Exploitation," Marketing Science, INFORMS, vol. 41(1), pages 139-165, January.
- Galliera, Arianna, 2018.
"Self-selecting random or cumulative pay? A bargaining experiment,"
Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 72(C), pages 106-120.
- Arianna Galliera, 2016. "Self-Selecting Random or Cumulative Pay? A Bargaining Experiment," Working Papers CESARE 2/2016, Dipartimento di Economia e Finanza, LUISS Guido Carli.
- Embrey, Matthew & Hyndman, Kyle & Riedl, Arno, 2021.
"Bargaining with a residual claimant: An experimental study,"
Games and Economic Behavior, Elsevier, vol. 126(C), pages 335-354.
- Embrey, M.S. & Hyndman, K. & Riedl, A.M., 2014. "Bargaining with a residual claimant: An experimental study," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).
- Matthew Embrey & Kyle Hyndmanz & Arno Riedl, 2020. "Bargaining with a Residual Claimant: An Experimental Study," Working Paper Series 1520, Department of Economics, University of Sussex Business School.
- Matthew Embrey & Kyle Hyndman & Arno Riedl, 2019. "Bargaining with a Residual Claimant: An Experimental Study," Working Paper Series 0419, Department of Economics, University of Sussex Business School.
- Matthew Embrey & Kyle Hyndman & Arno Riedl, 2014. "Bargaining with a Residual Claimant: An Experimental Study," CESifo Working Paper Series 5087, CESifo.
- Andreas Nicklisch, 2011. "Learning strategic environments: an experimental study of strategy formation and transfer," Theory and Decision, Springer, vol. 71(4), pages 539-558, October.
- Boosey, Luke & Brookins, Philip & Ryvkin, Dmitry, 2017.
"Contests with group size uncertainty: Experimental evidence,"
Games and Economic Behavior, Elsevier, vol. 105(C), pages 212-229.
- Luke Boosey & Philip Brookins & Dmitry Ryvkin, 2016. "Contests with group size uncertainty: Experimental evidence," Working Papers wp2016_07_01, Department of Economics, Florida State University.
- Lorko, Matej & Servátka, Maroš & Zhang, Le, 2023.
"Hidden inefficiency: Strategic inflation of project schedules,"
Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 313-326.
- Lorko, Matej & Servátka, Maroš & Zhang, Le, 2020. "Hidden inefficiency: Strategic inflation of project schedules," MPRA Paper 103032, University Library of Munich, Germany.
- Matej Lorko & Maros Servatka & Le Zhang, 2022. "Hidden inefficiency: Strategic inflation of project schedules," Working Papers 2022-04, University of Alaska Anchorage, Department of Economics.
- Lorko, Matej & Servátka, Maroš & Zhang, Le, 2022. "Hidden inefficiency: strategic inflation of project schedules," MPRA Paper 115047, University Library of Munich, Germany.
- Elmaghraby, Wedad J. & Larson, Nathan, 2012. "Explaining deviations from equilibrium in auctions with avoidable fixed costs," Games and Economic Behavior, Elsevier, vol. 76(1), pages 131-159.
- Rick, Scott & Weber, Roberto A., 2010. "Meaningful learning and transfer of learning in games played repeatedly without feedback," Games and Economic Behavior, Elsevier, vol. 68(2), pages 716-730, March.
More about this item
Keywords
Multi-armed bandit; Reinforcement learning; Payoff patterns; Observational learning;All these keywords.
JEL classification:
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eecrev:v:104:y:2018:i:c:p:1-21. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eer .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.