NDLI: Adaptive Self Type Changing Strategy of Incarnation for Maintaining Optimal Intelligent Information System

Content Provider	IEEE Xplore Digital Library
Author	JeongYon Shim
Copyright Year	2007
Description	Author affiliation: Kangnam Univ., Yongin (JeongYon Shim)
Abstract	Everything in the world has own properties and interacts with other things dynamically. By their associative relationship they are linked , sometimes combined and separated. These features make a living thing possible to survive in the complex environment. In the case of a sudden change and a barren environment, the living things change their characteristics and adapt their way of life to a new environment. As more computational virtual environment is developed rapidly, the requirement of intelligent system adopting the properties of living things is getting high. Accordingly in this paper for making more efficient intelligent system, adaptive self type changing strategy of incarnation for maintaining optimal intelligent information system was proposed by defining their own types and SEG(surviving energy gauge) of knowledge cell. We apply this system to the virtual memory and show testing results.
Starting Page	814
Ending Page	818
File Size	326998
Page Count	5
File Format	PDF
ISBN	9780769528755
DOI	10.1109/ICNC.2007.163
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Knowledge network management strategy System testing Adaptive systems Internal entropy Virtual environment Humans Management information systems Knowledge management Intelligent systems Computational intelligence Information systems
Content Type	Text
Resource Type	Article

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