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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 王道一 | |
dc.contributor.author | Wei Chen | en |
dc.contributor.author | 陳暐 | zh_TW |
dc.date.accessioned | 2021-06-13T06:42:41Z | - |
dc.date.available | 2013-07-26 | |
dc.date.copyright | 2011-07-26 | |
dc.date.issued | 2011 | |
dc.date.submitted | 2011-07-25 | |
dc.identifier.citation | S.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.
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dc.identifier.uri | http://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.abstract | Investigating 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.provenance | Made 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.iso | en | |
dc.title | 蒙提霍爾問題中的頓悟式學習 | zh_TW |
dc.title | Epiphany Learning for Bayesian Updating:
Overcoming the Generalized Monty Hall Problem | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-2 | |
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.keyword | Modified Monty Hall Problem,Bayesian Probability,Epiphany Learning,Reinforcement Learning,Experimental Economics, | en |
dc.relation.page | 24 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2011-07-25 | |
dc.contributor.author-college | 社會科學院 | zh_TW |
dc.contributor.author-dept | 經濟學研究所 | zh_TW |
顯示於系所單位: | 經濟學系 |
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