Presentation 2006/1/5
A Method to Reduce Bad Influence of Information Sharing
MASAYUKI OHTA, ITSUKI NODA,
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Abstract(in English) In a multi-agent environment that consists of selfish agents, the global-information has possibility to have negative effects to the agents. It may happen because all agents show tendency to take the identical alternative by considering the information and the utility of each agent decreases as a result. To overcome this problem, we propose a method to converge agents' strategies to Nash equilibrium and to stabilize there, by releasing modified global-information. This method also prevent from decreasing the total utility of agents. It is advantageous in that information which depends on the problem, such as total number of agents and distribution at Nash equilibrium, is not necessary. The stability and convergency of the proposed method are proved using a resource allocation problem, and the effectiveness is confirmed by simulation experiments.
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Paper # AI2005-27
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Committee AI
Conference Date 2006/1/5(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Method to Reduce Bad Influence of Information Sharing
Sub Title (in English)
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1st Author's Name MASAYUKI OHTA
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)()
2nd Author's Name ITSUKI NODA
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
Date 2006/1/5
Paper # AI2005-27
Volume (vol) vol.105
Number (no) 509
Page pp.pp.-
#Pages 6
Date of Issue