Consensus Building in Box-Pushing Problem by BRT Agent that Votes with Frequency Proportional to Profit
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- Kubo Masao
- Department of Computer Science, National Defense Academy of Japan
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- Sato Hiroshi
- Department of Computer Science, National Defense Academy of Japan
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- Yamaguchi Akihiro
- Department of Information and Systems Engineering, Fukuoka Instituteof Technology
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<p>In this study, we added voting behavior in which voting proportionately reflects the value of a view (option, opinion, and so on) to the BRT agent. BRT agent is a consensus-building model of the decision-making process among a group of human, and is a framework that allows the expression of the collective behavior while maintaining dispersiveness, although it has been noted that it is unable to reach consensus by making use of experience. To resolve this issue, we propose the incorporation of a mechanism of voting at frequencies proportional to the value estimated using reinforcement learning. We conducted a series of computer-based experiments using the box-pushing problem and verified that the proposed method reached a consensus to arrive at solutions based on experience.</p>
収録刊行物
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- Journal of Robotics and Mechatronics
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Journal of Robotics and Mechatronics 35 (4), 1016-1027, 2023-08-20
富士技術出版株式会社
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詳細情報 詳細情報について
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- CRID
- 1390015719770832768
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- NII書誌ID
- AA10809998
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- ISSN
- 18838049
- 09153942
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- NDL書誌ID
- 032992478
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
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- 抄録ライセンスフラグ
- 使用不可