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.
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Shim, J. (2007). Knowledge Network Management System with Medicine Self Repairing Strategy. In: Kang, L., Liu, Y., Zeng, S. (eds) Evolvable Systems: From Biology to Hardware. ICES 2007. Lecture Notes in Computer Science, vol 4684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74626-3_12
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DOI: https://doi.org/10.1007/978-3-540-74626-3_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74625-6
Online ISBN: 978-3-540-74626-3
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