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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/35162
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dc.contributor.advisor王道一
dc.contributor.authorWei Chenen
dc.contributor.author陳暐zh_TW
dc.date.accessioned2021-06-13T06:42:41Z-
dc.date.available2013-07-26
dc.date.copyright2011-07-26
dc.date.issued2011
dc.date.submitted2011-07-25
dc.identifier.citationS.B. Ball, Eckel, C., Rojas, C. 2006. Technology Improves Learning in Large Principles of Economics Classes: Using Our WITS. American Economic Review. 96(2) 442-446.
J. Bednar, Chen, Y., Liu, X., Page, S. 2009. Behavioral Spillovers in Multiple Games: An Experimental Study. University of Michigan, City.
R.T. Boylan, El-Gamal, M.A. 1993. Fictitious Play: A Statistical Study of Multiple Economic Experiments. Games and Economic Behavior. 5(2) 205-222.
C.F. Camerer. 2003. Behavioral game theory: Experiments on strategic interaction. Princeton University Press, Princeton.
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C.F. Camerer, Ho, T.H., Chong, J.-K. 2002. Sophisticated experience-weighted attraction learning and strategic teaching in repeated games. Journal of Economic Theory. 104(1) 137-188.
C.F. Camerer, Ho, T.-H., Chong, J.-K. 2004. A cognitive hierarchy model of games. Quarterly Journal of Economics. 119(3) 861-898.
M. Dickie. 2006. Do Classroom Experiments Increase Learning in Introductory Microeconomics? Journal of Economic Education. 37(3) 267-288.
M. Dufwenberg, Sundaram, R., Butler, D.J. 2010. Epiphany in the Game of 21. Journal of Economic Behavior & Organization. 75(2) 132-143.
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B.D. Kluger, Wyatt, S.B. 2004. Are Judgment Errors Reflected in Market Prices and Allocations? Experimental Evidence Based on the Monty Hall Problem. Journal of Finance. 59(3) 969-998.
D.T. Knoepfle, Wang, J.T.-y., Camerer, C.F. 2009. Studying Learning in Games Using Eye-Tracking. Journal of the European Economic Association. 7(2-3) 388-398.
I. Krajbich, Armel, C., Rangel, A. 2010. Visual fixations and the computation and comparison of value in simple choice. Nat Neurosci. advance online publication.
S.E. Page. 1998. Let's make a deal. Economics Letters. 61(2) 175-180.
T.C. Salmon. 2001. An Evaluation of Econometric Models of Adaptive Learning. Econometrica. 69(6) 1597-1628.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/35162-
dc.description.abstract研究如何修正人們在特定的困難選擇下的不理性行為在瞭解人的選擇行為上扮演重要的角色。本論文中,我們檢視人們在實驗室玩一個修改後的蒙提霍爾問題時的行為。我們的結果顯示,一個比較簡單的蒙提霍爾問題(100個門)會使人們之後玩比較難的版本(3個門)時選擇最適解(即”換”)的比例顯著地升高到80%。除了那些允許受試者溝通和/或競爭的研究之外,這個結果比起絕大多數過去的文獻結果都更好。此外,從估計個人層級的學習模型結果顯示,大部分人的學習軌跡比較可能是頓悟式學習,而非增強式學習。zh_TW
dc.description.abstractInvestigating methods to correct irrational behavior in a choice anomaly is central to understanding people’s choice decision. In this paper, we examined subjects’ decision in a modified version of the Monty Hall Problem (MHP) under a laboratory experimental setting. Our results show that an easier (100-door) version of the MHP would significantly raise subjects’ optimal choice (i.e. switch) rate later in the harder one (3-door) up to more than 80%, higher than most of the previous work without subject communication and/or competition. Moreover, results from estimating structural learning models using subject-level data show that the individual learning process is more likely to be an epiphany rather than a gradual one, such as reinforcement learning.en
dc.description.provenanceMade available in DSpace on 2021-06-13T06:42:41Z (GMT). No. of bitstreams: 1
ntu-100-R97323056-1.pdf: 493698 bytes, checksum: 9595934764745f6fe7d0bc58fffa32ad (MD5)
Previous issue date: 2011
en
dc.description.tableofcontents謝辭 i
Abstract ii
中文摘要 iii
1. Introduction 1
2. Experimental Design 9
2.1. Participants and Procedure 9
2.2. Optimal Strategy 9
3. Results 11
3.1. Aggregate Behavior 11
3.2. Individual Learning Model Analysis 13
4. Discussion and Conclusion 16
References 18
Appendices 21
Appendix 1: The Experimental Instruction of 100-door 23
Appendix 2: The Experimental Instruction of 3-door 23
dc.language.isoen
dc.subject修改後的蒙提霍爾問題zh_TW
dc.subject實驗經濟學zh_TW
dc.subject增強式學習zh_TW
dc.subject頓悟式學習zh_TW
dc.subject貝式機率zh_TW
dc.subjectReinforcement Learningen
dc.subjectModified Monty Hall Problemen
dc.subjectBayesian Probabilityen
dc.subjectExperimental Economicsen
dc.subjectEpiphany Learningen
dc.title蒙提霍爾問題中的頓悟式學習zh_TW
dc.titleEpiphany Learning for Bayesian Updating:
Overcoming the Generalized Monty Hall Problem
en
dc.typeThesis
dc.date.schoolyear99-2
dc.description.degree碩士
dc.contributor.oralexamcommittee黃貞穎,黃景沂,張勝凱
dc.subject.keyword修改後的蒙提霍爾問題,貝式機率,頓悟式學習,增強式學習,實驗經濟學,zh_TW
dc.subject.keywordModified Monty Hall Problem,Bayesian Probability,Epiphany Learning,Reinforcement Learning,Experimental Economics,en
dc.relation.page24
dc.rights.note有償授權
dc.date.accepted2011-07-25
dc.contributor.author-college社會科學院zh_TW
dc.contributor.author-dept經濟學研究所zh_TW
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