2017 Fiscal Year Annual Research Report
The Establishment of Evolutionary Knowledge Management for Societal and Organizational Optimization
| Project/Area Number |
17F17308
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| Research Institution | The University of Tokyo |
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Principal Investigator |
チン ユ 東京大学, 大学院新領域創成科学研究科, 教授 (00272394)
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| Co-Investigator(Kenkyū-buntansha) |
GU JIE 東京大学, 新領域創成科学研究科, 外国人特別研究員
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| Project Period (FY) |
2017-10-13 – 2020-03-31
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| Keywords | Agent-Based Modeling / Knowledge Management / Behavioral Experiment / Decision Making / Social Complexity / Macroeconomics / Intellectual Capital / Computer Simulation |
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| Outline of Annual Research Achievements |
1.Publish the research work at Claremont Graduate School, USA. 2.Established international research collaboration in USA. 3.Presented research at Hong Kong Polytechnic University and gained valuable feedback 4.Conducted behavioral experiments at a wealth management company in Hong Kong. Demonstrated research applicability and collected empirical data. 5.Presented at JSAI Symposium in Kanazawa 6. Joined AESCS&IMA and published a paper on the proceedings and will be published on a Springer book. 7. Established a SIG on Agent-Based Modeling, Intellectual capital and Macroeconomics.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The Research progress has been conducted smoothly as originally planned. Although there were some obstacles and limitations, the research team can manage to overcome or find alternative solutions. Both quality and quantitive of the research output is achieved eventually.
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| Strategy for Future Research Activity |
Concrete investigation will be carried out. On sociophysical investigation, we will understand the knowledge vs. human agents’ co-evolution through the lens of social and physical theories. On socioecological investigation. we will understand the organizational ecology and administrative role through the lens of social and ecology theories. On socioeconomical investigation, we will extend previous incentive system and develop new findings on human-decision nature, risk attitude, and social preference. We will use simulation and behavioral experiment in alternation. Huge effort will be put on simulation development, but most budget will be spent on behavioral experiment. We shall actively attend leading social simulation conferences and host our own symposium hopefully.
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