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Paper Abstract and Keywords
Presentation 2009-09-25 16:15
Improvement of team formations according to organizational structures and reorganization
Ryota Katayanagi, Toshiharu Sugawara (Waseda Univ.) AI2009-17
Abstract (in Japanese) (See Japanese page) 
(in English) We propose an effective method of dynamic reorganization using reinforcement learning for the team formation in multi-agent systems (MAS). A task in MAS usually consists of a number of subtasks that require their own resources, and it has to be processed in the appropriate team whose agents have the sufficient resources. The resources required for tasks are often unknown a priori and it is also unknown whether their organization is appropriate to form teams for the given tasks or not. Therefore, their organization should be adopted according to the environment where agents are deployed. In this paper, we investigated how the structures of network affect team formations of the agents. We will show that the utility and the failure of the team formation is deeply affected by depth of the tree structure.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-Agent System / Q-Learning / Team Formation / Reorganization / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 211, AI2009-17, pp. 43-48, Sept. 2009.
Paper # AI2009-17 
Date of Issue 2009-09-18 (AI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee AI  
Conference Date 2009-09-25 - 2009-09-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Univ. Clock Tower 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Social Interaction and Intelligence, etc. 
Paper Information
Registration To AI 
Conference Code 2009-09-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of team formations according to organizational structures and reorganization 
Sub Title (in English)  
Keyword(1) Multi-Agent System  
Keyword(2) Q-Learning  
Keyword(3) Team Formation  
Keyword(4) Reorganization  
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1st Author's Name Ryota Katayanagi  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Toshiharu Sugawara  
2nd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2009-09-25 16:15:00 
Presentation Time 25 minutes 
Registration for AI 
Paper # AI2009-17 
Volume (vol) vol.109 
Number (no) no.211 
Page pp.43-48 
#Pages
Date of Issue 2009-09-18 (AI) 


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