• DocumentCode
    2451403
  • Title

    Paradigms of Meta-synthetic Computing

  • Author

    Li, YaoDong ; Cui, Xia ; Dai, Ruwei

  • Author_Institution
    Key Lab. of Complex Syst. & Intell. Sci. Instn. of Autom., Chinese Acad. of Sci., Beijing
  • fYear
    2008
  • fDate
    July 28 2008-Aug. 1 2008
  • Firstpage
    862
  • Lastpage
    867
  • Abstract
    Human-computer cooperation is one of the key points of meta-synthetic computing. It is also one of the most difficult issues when implementing this type of computing. This paper summarizes three paradigms of human-computer cooperation: implicit paradigm, explicit paradigm and hybrid paradigm. The characteristic and structure of each paradigm are addressed. And a typical application is also introduced to illustrate each paradigm respectively. Finally, the ideas and hypothesis behind these paradigms are discussed in detail.
  • Keywords
    cooperative systems; human computer interaction; learning (artificial intelligence); explicit paradigm; human-computer cooperation; hybrid paradigm; implicit paradigm; meta-synthetic computing; supervised learning; Application software; Artificial intelligence; Automation; Character recognition; Competitive intelligence; Computer applications; High performance computing; Humans; Intelligent systems; Problem-solving; Hall for Workshop of Meta-synthetic Engineering; Human computer cooperation; Meta-synthetic computing; Open Complex Giant System; Parallel System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications, 2008. COMPSAC '08. 32nd Annual IEEE International
  • Conference_Location
    Turku
  • ISSN
    0730-3157
  • Print_ISBN
    978-0-7695-3262-2
  • Electronic_ISBN
    0730-3157
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2008.52
  • Filename
    4591683