模式识别与人工智能
Thursday, Apr. 10, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2010, Vol. 23 Issue (5): 624-629    DOI:
Orignal Article Current Issue| Next Issue| Archive| Adv Search |
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

Download: PDF (476 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
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.
Key wordsComplex Problem Solving      Knowledge Conversion Process      Metasynthetic Engineering     
Received: 24 August 2009     
ZTFLH: N94  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
ZHANG Guang-Jun
DAI Ru-Wei
Cite this article:   
ZHANG Guang-Jun,DAI Ru-Wei. Metasynthetic Engineering with Knowledge Conversion Process for Complex Problem Solving[J]. , 2010, 23(5): 624-629.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2010/V23/I5/624
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn