| Project/Area Number |
17F17308
|
|---|
| Research Category |
Grant-in-Aid for JSPS Fellows
|
| Allocation Type | Single-year Grants |
|---|
| Section | 外国 |
|---|
| Research Field |
Social systems engineering/Safety system
|
|---|
| Research Institution | The University of Tokyo |
|---|
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)
|
|---|
| 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
|
|---|
| Project Period (FY) |
2017-10-13 – 2020-03-31
|
| Project Status |
Completed (Fiscal Year 2019)
|
| Budget Amount *help |
¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 2019: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 2018: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2017: ¥700,000 (Direct Cost: ¥700,000)
|
|---|
| Keywords | agent-based modeling / behavioral experiment / knowledge management / complexity and evolution / risk and uncertainty / Agent-Based Modeling / Knowledge Management / Behavioral Experiment / Decision Making / Social Complexity / Macroeconomics / Intellectual Capital / Computer Simulation |
|---|
| Outline of Annual Research Achievements |
Using agent-based modeling (ABM) methodology, this research has probed deeply into the complexity of knowledge creation and diffusion and its compound effect on the collective macroscopic outcome e.g. the market sentiment or the organizational climate. Our model incorporates human behavioral decision-making as the fundemental force for knowledge creation and diffusion which is vital but previously neglected. Our model describes the causal relations of the social system and reveals turning points (peak and trough) and inter-temporal dynamics, hence it also quantitatively extends the existing well-known Nonaka's SECI model and Gartner's Hype cycle model which are still considered merely conceptual.
|
| Research Progress Status |
令和元年度が最終年度であるため、記入しない。
|
| Strategy for Future Research Activity |
令和元年度が最終年度であるため、記入しない。
|
