| Project/Area Number |
25330277
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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 | 防衛大学校(総合教育学群、人文社会科学群、応用科学群、電気情報学群及びシステム工学群) |
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Principal Investigator |
NAMATAME AKIRA 防衛大学校(総合教育学群、人文社会科学群、応用科学群、電気情報学群及びシステム工, その他部局等, 教授 (70546051)
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| Co-Investigator(Kenkyū-buntansha) |
KEIIKI TAKKADAMA 電気通信大学, 情報理工学, 教授 (20345367)
HIROSHI SATO 防衛大学校, 電気情報学群, 准教授 (30295737)
MASO KUBO 防衛大学校, 電気情報学群, 准教授 (30292048)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | マルチエージェントシステム / キーワード：マルチエージェントシステム， / べき分布型リスク / レジリエンス / カスケード障害 / レジリエンスの評価 / コアエージェント / リスク緩和 / 可塑性 / カスケード故障 / システミックリスク / 国際研究者交流 シンガポール，インドネシア / 国際情報交換，台湾 |
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| Outline of Final Research Achievements |
This research investigates the possibilities and constraints of creating decentralized and coordinated solution to enhance system resilience with an agent-based approach. An agent-based modeling is used to analyze how a local propagates through the dynamic networks and form avalanches of failure. The linkage dependence among agents at the micro-level is focused in order to estimate the impact on the macro activities. Combining agent-based modeling with the network analysis can shed light on understanding the primary mechanism of risk propagation. An effective method based on the concept of risk sharing is provided with a simple micro-foundation based on coordinated incentives to absorb external shocks in order to survive collectively. It is analyzed how risk sharing rules can actually affect the agent’ resilience to external shocks in the areas such as transportation networks and supply chain networks.
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