政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/76053

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113318/144297 (79%)
Visitors : 50994676 Online Users : 945

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大典藏 > College of Social Science > Department of Economics > Periodical Articles > Item 140.119/76053

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/76053

Title:	Neural network models of learning and categorization in multigame experiments
Authors:	Marchiori, Davide;wargline, M. 馬大衛
Contributors:	經濟系
Keywords:	article;controlled study;experimental study;game;human;human experiment;learning;nerve cell network;normal human;theory
Date:	2011
Issue Date:	2015-06-22 16:08:02 (UTC+8)
Abstract:	Previous research has shown that regret-driven neural networks predict behavior in repeated completely mixed games remarkably well, substantially equating the performance of the most accurate established models of learning. This result prompts the question of what is the added value of modeling learning through neural networks. We submit that this modeling approach allows for models that are able to distinguish among and respond differently to different payoff structures. Moreover, the process of categorization of a game is implicitly carried out by these models, thus without the need of any external explicit theory of similarity between games. To validate our claims, we designed and ran two multigame experiments in which subjects faced, in random sequence, different instances of two completely mixed 2 × 2 games.Then, we tested on our experimental data two regret-driven neural network models, and compared their performance with that of other established models of learning and Nash equilibrium. © 2011 Marchiori and Warglien.
Relation:	Frontiers in Neuroscience, Issue DEC, 論文編號 Article 139
Data Type:	article
DOI link:	http://dx.doi.org/10.3389/fnins.2011.00139
DOI:	10.3389/fnins.2011.00139
Appears in Collections:	[Department of Economics] Periodical Articles

Files in This Item:

File	Description	Size	Format
Neural.pdf		1155Kb	Adobe PDF2	700	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...