• DocumentCode
    2040125
  • Title

    Survey on game-theoretic information fusion

  • Author

    Yin, Huilin ; Wang, Lei ; Nong, Jing

  • Author_Institution
    Dept. of Electron. & Inf. in CDHK, Tongji Univ., Shanghai, China
  • Volume
    5
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2147
  • Lastpage
    2151
  • Abstract
    This paper surveys the research of the information fusion approaches based on game theory. How to resolve the high level fusion problem in the conflict and cooperation environment of multiple sources information is a key problem in the current research of information fusion. Game theory is promising to successfully model conflict and cooperative interactions. So, the relatively new interdisciplinary study of information fusion based on game theory deserves further exploration. Based on the state-of-the-art of the game-theoretic information fusion study, this paper analyzes the two characters (interdisciplinary and high-level) and two study routes (direct route and indirect route via Artificial Intelligence). The most representative processing models, architectures and algorithms in this field are described. The military and several civilian applications and the validity of the game-theoretic information fusion approaches are summarized. Finally, the issues and challenges are summarized and the further research directions are discussed.
  • Keywords
    game theory; sensor fusion; artificial intelligence; game theory; information fusion; Artificial intelligence; Biological system modeling; Data models; Game theory; Games; Markov processes; decision-making; game theory; information fusion; interdisciplinary study; multi-agent system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569745
  • Filename
    5569745