Knowledge Network Management System with Medicine Self Repairing Strategy

摘要

In the complex information environment, the role of intelligent system is getting high and it is essential to develop a smarter and more efficient intelligent system for processing automatic knowledge acquisition, structuring the memory efficient to store and retrieving the related information and repairing the system automatically. Focusing on the self repairing system, in this study Medicine Self Repairing Strategy for knowledge network management is designed. The concepts of Self type, Internal Entropy, medicine treatment are defined for modeling Self Repairing System. We applied this proposed system to virtual memory consisting of knowledge network and tested the results.