Knowledge network management system with medicine self repairing strategy

Authors:
JeongYon Shim
Affiliations:
Computer Science, Kangnam University, YongIn Si, KyeongKi Do, Korea
Venue:
ICES'07 Proceedings of the 7th international conference on Evolvable systems: from biology to hardware
Year:
2007

Citing 2
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Abstract

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.