1999 Fiscal Year Final Research Report Summary
Towards a Theory for Emergent Approach of Engineering Design
| Project/Area Number |
10650430
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Control engineering
|
|---|
| Research Institution | Kobe University |
|---|
Principal Investigator |
KITAMURA Shinzo Kobe University, Faculty of Engineering, Professor, 工学部, 教授 (80029131)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
MURAO Hajime Kobe University, Faculty of Engineering, Research Assistant, 工学部, 助手 (70273761)
TAMAKI Hisashi Kobe University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (10227267)
|
|---|
| Project Period (FY) |
1998 – 1999
|
| Keywords | Emergence / Learning / Design / Evolutionary Computing / Multi-agents / Scheduling |
|---|
| Research Abstract |
In conventional design process of artificial systems(artifacts), a total system is generated by connecting various parts(subsystems) in order to satisfy a given specification. However, such a process depends much on the skill of human designers. This research focussed, through the concept of emergence, on the studies for the analysis of such humans' capability in the design process. The main results are following :
1.Formalization of emergent design theories
A new design theory was mathematically formulated as a repetitive process based on the emergence concept. Also human's creativity was considered in the relevant problem.
2.Approach to the design problem including ambiguities by using evolutionary computings
The evolutionary computing methods were applied for the design problems under the ambiguities on the information of environment and specification.
3.Adaptive construction of internal state space for reinforced-learning agents
For the agents behaving in unknown environment, a method to construct the internal state space by the reinforcement learning was developed.
4.Design of multi-agent system
A design method for autonomous multi-agent systems was developed and it was applied for various scheduling problems.
|
