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| Metasynthetic Engineering with Knowledge Conversion Process for Complex Problem Solving |
| ZHANG Guang-Jun,DAI Ru-Wei |
| Key Laboratory of Complex Systems and Intelligence Science,Institute of Automation,Chinese Academy of Sciences,Beijing 100190 |
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Abstract Complex problem solving is a knowledge intensive task, hence it is important to understand the related knowledge conversion process in metasynthetic engineering. According to the complex features of the problem, a knowledge conversion process model is proposed. In the proposed model, knowledge is created through the conversion of tacit and explicit knowledge, and the knowledge creation process is a dynamic spiral process including cognition, externalization, integration and internalization. Based on the knowledge model, metasynthetic engineering is enhanced to enrich the problem solving process. An example of complex disaster is provided to demonstrate the application of metasynthetic engineering with knowledge management on solving complex problem.
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Received: 24 August 2009
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2010, Vol. 23 
