Presentation | 2006/1/5 A Method to Reduce Bad Influence of Information Sharing MASAYUKI OHTA, ITSUKI NODA, |
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Abstract(in Japanese) | (See Japanese page) |
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 |
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Conference Date | 2006/1/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Method to Reduce Bad Influence of Information Sharing |
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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 |
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