• DocumentCode
    394164
  • Title

    Research about holographic relation and topological structure for thinking process on brain and artificial intelligence system

  • Author

    Bi, Jiaxiang

  • Author_Institution
    China Zhenhua Electron. Group, Guiyang, China
  • Volume
    2
  • fYear
    2002
  • fDate
    18-22 Nov. 2002
  • Firstpage
    857
  • Abstract
    We describe and discuss the coding method and self-organizing process of the information in the brain, advance a kind of encoding system: the "natural encoding system" which is particular to nature itself. In the problem of machine imitation, we further discuss the topological property equivalence problem of artificial and natural intelligence system on the basis of hierarchy structures of the virtual machine. More specifically we present the three large hierarchy structures of the intelligence system: the physical hierarchy, the physiological hierarchy and the psychological hierarchy. We also describe the relations between the three large hierarchies and some sub-stratums, the encoding method of information, the holographic frame structure of the information, the functions of the virtual machine system on different levels, etc. in more detail.
  • Keywords
    artificial intelligence; brain; self-adjusting systems; topology; virtual machines; artificial intelligence system; brain information; hierarchy structures; holographic frame structure; holographic relation; machine imitation; natural encoding system; natural intelligence system; physical hierarchy; physiological hierarchy; psychological hierarchy; self-organizing process; thinking process; topological property equivalence problem; topological structure; virtual machine; Artificial intelligence; Bismuth; Encoding; Holography; Intelligent structures; Intelligent systems; Machine intelligence; Neurons; Sense organs; Virtual machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
  • Print_ISBN
    981-04-7524-1
  • Type

    conf

  • DOI
    10.1109/ICONIP.2002.1198181
  • Filename
    1198181