| Project/Area Number |
15K00328
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
Noda Itsuki 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 総括研究主幹 (40357744)
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| Co-Investigator(Kenkyū-buntansha) |
山下 倫央 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 客員研究員 (50415759)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | multiagent / resource shareing / learning / simulation / social simulation / マルチエージェント / 強化学習 / シミュレーション / 資源共有問題 / 人流制御 / マルチエージェント学習 / Exploration 率 / 動的環境 / 進化的アルゴリズム / 社会シミュレーション / 避難シミュレーション / 行動モデルプログラミング / 網羅的シミュレーション |
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| Outline of Final Research Achievements |
As the bottom-up approach, we focused on multi-agent resource sharing problem with dynamically changing resources. We proposed a method called "Win or Update Exploration-ratio (WoUE)", in which each agent adjusts its exploration ratio through learning independently.
As the top-down approach, we picked up large scale pedestrian control at big events. We evaluated two top-down control methods, that are, fixed and adaptive dividing guidance of peoples via a simulator, and compared with real data.
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