• DocumentCode
    1598451
  • Title

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

  • Author

    Shim, JeongYon

  • Author_Institution
    Kangnam Univ., Yongin
  • Volume
    4
  • fYear
    2007
  • Firstpage
    814
  • Lastpage
    818
  • 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.
  • Keywords
    biology computing; knowledge based systems; virtual reality; adaptive self type changing incarnation system; intelligent information system; internal entropy; knowledge cell; knowledge network management; living thing; surviving energy gauge; virtual environment; virtual memory; Adaptive systems; Computational intelligence; Computer science; Humans; Information systems; Intelligent systems; Knowledge management; Management information systems; System testing; Virtual environment; Internal entropy; Knowledge network management strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.163
  • Filename
    4344784