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| RESEARCH FIELD - LIFE CYCLE ENGINEERING - SERVICE ENGINEERING - DIGITAL VALUE ENGINEERING CO-CREATION ENGINEERING - VALUE CREATION INITIATIVE - VISITING RESEARCH DIVISION RESEARCH COLLABORATION |
| CO-CREATION ENGINEERING |
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Shuichi Rokugawa, Professor Hajime Asama, Professor Nariaki Nishino, Associate Professor [Abstract] We propose a framework and methodologies of co-creative artifactual engineering in consideration of bidirectional interaction among a human, an artifact and a society that break the limitation of existing artificial systems in the modern complex society. We build theories using emergence, synthesis and interaction, and explore co-creative solving methodologies on decision making processes in design, manufacturing and consuming phases. We also research the adaptive feature of human to environment to develop the co-evolution between human and artifacts. |
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1) Co-Creative Decision Making in Artifactual Systems Introducing Bounded-Rational Agents It has been common sense to eliminate effects of human decisions when artifactual systems are designed because human decisions are regarded as unreliability and disturbance for system optimization, as expressed "human error" in engineering or "bounded rationality" in economics. However, actual human beings have innate ability to produce decisions flexibly in the real world. We propose and validate the methodology of improving the system performance under incomplete conditions by introducing bounded rationality as a positive characteristic of agents. 2) Environment Adaptive Manufacturing System We have proposed the biological manufacturing system to adapt to environmental changes. We develop a line-less production system in which all elements are moving, using self-organization that can solve both facility layout and scheduling problems. It realizes agile manufacturing with high productivity and low cost. 3) Modeling of Co-creative Decision Making and Artificial Society We develop models of co-creative decision making and explore indirect control methods of social system as a complex adaptive system. For example, we deal with recycling problems as decision-making problems consisting of producers, consumers and waste dealers, using game theory and methods of experimental economics. (Last updated on 18-March-2010) |
 Co-creative decision making  Emergence based self-organizing manufacturing system  Modeling of a Recycling market |
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Recent Research Projects