Study on Synthesizing Agents' Attributes from Statistics for Social Simulations
Project/Area Number |
26380277
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Economic statistics
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Research Institution | Kansai University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
鵜飼 康東 関西大学, ソシオネットワーク戦略研究機構, 非常勤研究員 (70098101)
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Project Period (FY) |
2014-04-01 – 2017-03-31
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Project Status |
Completed (Fiscal Year 2016)
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Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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Keywords | 社会シミュレーション / 市民属性合成手法 / 統計 / シミュレーティッドアニーリング / 並列計算 / エージェント属性復元 / 統計データ / 誤差最小化 / 全国規模 |
Outline of Final Research Achievements |
In this research project, we propose a platform for real-scale agent-based social simulations by synthesizing attributes of each citizens in a virtual space. If it is easy to utilize citizens' attributes kept in local governments, it is also easy to develop such a platform for social simulations. However, the utilization of citizens' attributes is not easy to keep their privacy. Therefore we proposed a method to synthesize citizens' attributes using statistics that are released by governments.
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Report
(4 results)
Research Products
(43 results)
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[Presentation] Social Simulation Using/Creating Big Data2015
Author(s)
Tadahiko Murata
Organizer
2015 International Workshop on Complex Systems and Their Modeling, Control, Scheduling, and Security Management
Place of Presentation
Macau University of Science and Technology, Macau, China
Year and Date
2015-10-13
Related Report
Int'l Joint Research / Invited
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