Presentation | 2002/1/3 Co-evolutions through Imitation Learning Yukikazu MURAKAMI, Hiroshi SATO, Akira NAMATAME, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is an interesting question to answer how the society gropes its way towards efficient equilibrium in an imperfect world when self-interested agents learn each other in order to improve the rules of interaction. In this paper, we focus on the co-evolution of meta-rules of strategic interactions in the negotiation situations. We formulate negotiation situations as hawk-dove games. It is known the mixed strategy will result in an efficient equilibrium in hawk-dove games. In this paper, we introduce co-evolutionary dynamics with local matching and investigate the role of collaboration learning, We show that all agents gradually learn to behave as doves, which result in social efficiency. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | hawk-dove games / mutual learning / mimicry / local matching / co-evolution |
Paper # | AI2001-79 |
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Committee | AI |
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Conference Date | 2002/1/3(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) | Co-evolutions through Imitation Learning |
Sub Title (in English) | |
Keyword(1) | hawk-dove games |
Keyword(2) | mutual learning |
Keyword(3) | mimicry |
Keyword(4) | local matching |
Keyword(5) | co-evolution |
1st Author's Name | Yukikazu MURAKAMI |
1st Author's Affiliation | Dept. of Computer Science, National Defense Academy() |
2nd Author's Name | Hiroshi SATO |
2nd Author's Affiliation | Dept. of Computer Science, National Defense Academy |
3rd Author's Name | Akira NAMATAME |
3rd Author's Affiliation | Dept. of Computer Science, National Defense Academy |
Date | 2002/1/3 |
Paper # | AI2001-79 |
Volume (vol) | vol.101 |
Number (no) | 536 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |