| Project/Area Number |
20K11947
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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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| Review Section |
Basic Section 61030:Intelligent informatics-related
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
Schwind Nicolas 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, 主任研究員 (60646397)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2021: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | Systems resilience / Multiagent systems / Knowledge representation / Artificial Intelligence / Facility location / Robustness / Knowledge Representation / Belief Change / Dynamic Systems / Iterated Change / Resilience / Facility Location / Team Formation / Improvement |
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| Outline of Research at the Start |
We will provide a solution to deploy a set of facilities on a populated map that is robust to natural disasters, that is, to ensure a certain quality of service in all phases of a disaster scenario. In particular, we will formalize the new resilience notion in the popular Coalition Formation framework, introduce algorithms, and design benchmarks based on real-world data. By the end of the project, we will make publicly available a software which, given a chosen populated map, finds a resilient facility deployment according to our notion and in efficient time.
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| Outline of Final Research Achievements |
Our research tackled the problem of facility location. We focused on optimizing facility deployment like cell towers to ensure reliable service, even during disasters. We introduced the notion of "partial robustness," balancing cost efficiency with disaster resilience. Our approach combined robust and recoverable solutions, ensuring that a significant portion of the population retains access to services (e.g., 95%) post-disaster. Collaborating globally, we formalized this concept, developed efficient algorithms, and created user-friendly software program. Publications in top conferences and journals validated our findings, highlighting practical benefits for urban planning and disaster response. This research bridges theory with real-world impact, offering cost-effective solutions for resilient infrastructure deployment.
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| Academic Significance and Societal Importance of the Research Achievements |
この研究プロジェクトは、「部分的な頑健性」の導入により、都市インフラの耐災性を向上させる画期的な方法を提供します。通信インフラの最適化だけでなく、災害対応や医療物流にも応用可能です。公開されたソフトウェアツールの開発は、都市計画の透明性とアクセス性を促進し、コミュニティの強靭さと準備力を向上させます。
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