Stochastic Dynamic Modeling and Control of Networked Human-Information Systems
| Project/Area Number |
25420431
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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 |
Control engineering/System engineering
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
Hayakawa Tomohisa 東京工業大学, 情報理工学(系)研究科, 准教授 (30432008)
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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 |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2015: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | ネットワーク系 / 人間モデル / ゴシッププロトコル / 確率モデル / 人間の意思決定モデル / グラフ理論 / 情報の非対称性 / オークションアルゴリズム / ゲーム理論 / 人間-情報系 |
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| Outline of Final Research Achievements |
In this proposed research, a basic principle for stochastic dynamical systems for human-information networks was investigated. Specifically, the stochastic models are modeled as both finite and infinite networks depending on applications. For the finite networks, Laplacian turned out to play an important role as expected, whereas for infinite networks we made use of percolation theory to characterize the behavior of the information spread by analyzing critical probability of information transmission between agents under consideration.
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Report
(4 results)
Research Products
(13 results)
