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Paper Abstract and Keywords
Presentation 2008-01-16 10:10
A model of decision-making with estimation of other agent's internal state and actions
Yumi Satoh (NAIST), Ritz Oshio (Kyoto Univ.), Wako Yoshida (UCL), Shin Ishii (Kyoto Univ.) NC2007-99
Abstract (in Japanese) (See Japanese page) 
(in English) In multi-agent environments, it may be useful to predict other agent's actions by estimating some sort of internal state of the opponent model. In recent years, model-free reinforcement learning has been used to capture both monkey's and human's behaviors in multi-agent tasks, but such success is attributed to the simple task setting, in which the other agent's action can be determined by the history of subject's own actions and rewards.In this study, we propose a new behavioral task which substantially increases the advantage of estimating the other agent's internal state from action observations. Subjects can select optimal actions based on prediction
employing an action-value function.We introduce a model-based reinforcement learning model that well reproduces subject's behaviors in the task. Concurrent evaluation of brain activity using fMRI, in which the
cognitive loads are evaluated as regression functions, highlights the role of the prefrontal cortex in the prediction of the other agent.
Keyword (in Japanese) (See Japanese page) 
(in English) multi-agent environment / opponent model / functional MRI / Prefrontal cortex / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 413, NC2007-99, pp. 73-78, Jan. 2008.
Paper # NC2007-99 
Date of Issue 2008-01-08 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NC2007-99

Conference Information
Committee NC  
Conference Date 2008-01-15 - 2008-01-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Centennial Hall, Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning, etc. 
Paper Information
Registration To NC 
Conference Code 2008-01-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A model of decision-making with estimation of other agent's internal state and actions 
Sub Title (in English)  
Keyword(1) multi-agent environment  
Keyword(2) opponent model  
Keyword(3) functional MRI  
Keyword(4) Prefrontal cortex  
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1st Author's Name Yumi Satoh  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Ritz Oshio  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Wako Yoshida  
3rd Author's Affiliation University College London (UCL)
4th Author's Name Shin Ishii  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2008-01-16 10:10:00 
Presentation Time 20 minutes 
Registration for NC 
Paper # NC2007-99 
Volume (vol) vol.107 
Number (no) no.413 
Page pp.73-78 
#Pages 6 
Date of Issue 2008-01-08 (NC) 

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