| Presentation | 1998/1/22 Evolutionary Learning of Payoff Configurations in Coalition for Cooperative Pursuit Hideki SATO, Masayasu ATSUMI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In multi-agent environment, it is important to make a group of agents that solve each task rationally. The concept of coalition, which is proposed in the cooperative game theory, provides the rational criteria for making agents' group. We propose an evolutionary learning architecture based on the genetic programming that learns a rational coalition among agents and pursuit behavior under the coalition concurrently. In this paper, by using the extended pursuit problem as an example, we show that coalitions are formed and the effective pursuit behavior appears under the coalition. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Coalition / Genetic Programming / game theory |
| Paper # | AI97-64 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 1998/1/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| 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) | Evolutionary Learning of Payoff Configurations in Coalition for Cooperative Pursuit |
| Sub Title (in English) | |
| Keyword(1) | Coalition |
| Keyword(2) | Genetic Programming |
| Keyword(3) | game theory |
| 1st Author's Name | Hideki SATO |
| 1st Author's Affiliation | Division of Info. Sys. Sci., Graduate school of Eng., Soka University() |
| 2nd Author's Name | Masayasu ATSUMI |
| 2nd Author's Affiliation | Division of Info. Sys. Sci., Graduate school of Eng., Soka University |
| Date | 1998/1/22 |
| Paper # | AI97-64 |
| Volume (vol) | vol.97 |
| Number (no) | 498 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |