• DocumentCode
    3397732
  • Title

    Issues in Adaptive and Automatic Information Fusion Resource Management

  • Author

    Kadar, Ivan

  • Author_Institution
    Interlink Syst. Sci. Inc., Lake Success, NY
  • fYear
    2006
  • fDate
    10-13 July 2006
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    This panel position paper addresses issues and challenges of resource management (facilitating adaptive and automatic information fusion) and identifies the necessary interaction with levels 2 and 3 components of "information fusion". Starting with the definitions of fusion levels, implicit and explicit interactions among the levels are examined from several perspectives: identifying commensurate measures to model interactions; selection of objective functions at each level or globally; representation of optimum decision making under uncertainty; effects of local optimization at each fusion level vs. joint optimization; representation of interactions among fusion levels by the perceptual reasoning machine paradigm-based adaptive anticipatory planning and control model; and identifying research directions
  • Keywords
    adaptive control; decision making; optimisation; resource allocation; sensor fusion; uncertainty handling; adaptive anticipatory planning; adaptive control; adaptive information fusion; automatic information fusion; joint optimization; local optimization; optimum decision making; perceptual reasoning machine; resource management; uncertainty handling; Adaptive control; Automatic control; Decision making; Fuses; Humans; Kinematics; Programmable control; Resource management; State estimation; Uncertainty; adaptive and automated resource management; anticipatory perceptual reasoning and control; decision making under uncertainty; levels of information fusion; objective functions; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2006 9th International Conference on
  • Conference_Location
    Florence
  • Print_ISBN
    1-4244-0953-5
  • Electronic_ISBN
    0-9721844-6-5
  • Type

    conf

  • DOI
    10.1109/ICIF.2006.301786
  • Filename
    4086072