2013 Fiscal Year Final Research Report
Geretation of Multiagent Simulation Models Based on Machine Learning from Political and Economical Data
| Project/Area Number |
23500175
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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 | Tokyo Denki University (2013)
Nagoya University (2011-2012) |
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Principal Investigator |
YAMAKI Hirofumi 東京電機大学, 情報環境学部, 准教授 (10322166)
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| Co-Investigator(Kenkyū-buntansha) |
SEJIMA Makoto 大阪国際大学, 現代社会学部, 教授 (60258093)
FUJIMOTO Shigeru 一般財団法人平和, 安全保障研究所・研究部, 客員研究員 (80319425)
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| Project Period (FY) |
2011 – 2013
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| Keywords | マルチエージェントシミュレーション / 機械学習 / モデル統合 |
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| Research Abstract |
Several techniques to generate multiagent simulation models based on machine learning from political and economical data. This work includes implementation of a system that generates simulation models using machine learning technique, collects data using crowd-sourcing services, and supports to combine such models and to construct large and complex simulation models. Basic technologies has been established, such as machine learning from social data, metadata to annotate simulation models, and model analysis using program dependency graphs (PDGs).
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