• DocumentCode
    567496
  • Title

    A blueprint for policy automation in fusion and Command and Control

  • Author

    Scholz, Jason ; Smith, Glen ; Gossink, Don

  • Author_Institution
    C3I Div., Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
  • fYear
    2012
  • fDate
    9-12 July 2012
  • Firstpage
    580
  • Lastpage
    586
  • Abstract
    Architectural guidance for the development of fusion and resource management systems exists, yet the automated management of their policies remains nascent in the Joint Directors of Laboratories (JDL) model. We present an architecture to assist design of fusion and Command and Control (C2) systems grounded in an understanding of human intent and Artificial Intelligence (AI) literature. The policy automation blueprint provides design guidance by decomposing the problem into levels which align to JDL model levels, and eliciting a process for managing change.
  • Keywords
    artificial intelligence; command and control systems; sensor fusion; JDL model; Joint Directors of Laboratories model; architectural guidance; artificial intelligence; command and control; fusion design; policy automation blueprint; resource management system; Actuators; Automation; Command and control systems; Humans; Psychology; Semantics; Sensors; agents; architecture; intent; interface; psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2012 15th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4673-0417-7
  • Electronic_ISBN
    978-0-9824438-4-2
  • Type

    conf

  • Filename
    6289854