Presentation | 2022-09-16 マルチエージェント協調巡回問題におけるエネルギー消費抑制手法の提案 Kohei Matsumoto, Keisuke Yoneda, Toshiharu Sugawara, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a method for autonomously reducing energy consumption while satisfying quality requirements in the multi-agent cooperative patrolling problem (MACPP). Although it is important to execute tasks efficiently, executing tasks beyond the required quality may result in unnecessary energy consumption. In this study, we extend an existing method to reduce energy consumption by estimating that each agent satisfies a given quality requirement, and adjusting the estimation to reduce unnecessary actions. Evaluation experiments show that the proposed method is more effective than existing methods by introducing parameters that adaptively adjust energy-saving behaviors, thereby reducing energy consumption at the same time as satisfying the required quality. |
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Paper # | AI2022-31 |
Date of Issue | 2022-09-08 (AI) |
Conference Information | |
Committee | AI |
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Conference Date | 2022/9/15(2days) |
Place (in Japanese) | (See Japanese page) |
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Chair | Yuichi Sei(Univ. of Electro-Comm.) |
Vice Chair | Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.) |
Secretary | Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.) |
Assistant | Kazutaka Matsuzaki(Chuo Univ.) |
Paper Information | |
Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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Language | JPN-ONLY |
Title (in Japanese) | (See Japanese page) |
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1st Author's Name | Kohei Matsumoto |
1st Author's Affiliation | Waseda University(Waseda Univ.) |
2nd Author's Name | Keisuke Yoneda |
2nd Author's Affiliation | Waseda University(Waseda Univ.) |
3rd Author's Name | Toshiharu Sugawara |
3rd Author's Affiliation | Waseda University(Waseda Univ.) |
Date | 2022-09-16 |
Paper # | AI2022-31 |
Volume (vol) | vol.122 |
Number (no) | AI-186 |
Page | pp.pp.73-78(AI), |
#Pages | 6 |
Date of Issue | 2022-09-08 (AI) |