Observational and Reinforcement Pattern-learning: An Exploratory Study
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- Hanaki, Nobuyuki & Kirman, Alan & Pezanis-Christou, Paul, 2018. "Observational and reinforcement pattern-learning: An exploratory study," European Economic Review, Elsevier, vol. 104(C), pages 1-21.
- Nobuyuki Hanaki & Alan Kirman & Paul Pezanis-Christou, 2018. "Observational and reinforcement pattern-learning: An exploratory study," Post-Print halshs-01723513, HAL.
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.
- Ralph-C. Bayer & Hang Wu, 2013. "Do We Learn from Our Own Experience or from Observing Others?," School of Economics Working Papers 2013-21, University of Adelaide, School of Economics.
- 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.
- 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 SÃ¸rensen, 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.
- 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.
More about this item
KeywordsMulti-armed bandit; reinforcement learning; eureka moment; pay-off patterns; observational learning;
- 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
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2016-08-07 (All new papers)
- NEP-CBE-2016-08-07 (Cognitive & Behavioural Economics)
- NEP-CSE-2016-08-07 (Economics of Strategic Management)
- NEP-EXP-2016-08-07 (Experimental Economics)
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