• DocumentCode
    2315830
  • Title

    Modeling the role of CSAR team based on AML

  • Author

    Chen, Shao-dong ; Jin-Xing Liu

  • Author_Institution
    Sci. & Technol. on Electro-Opt. Control Lab., Luoyang, China
  • Volume
    3
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    977
  • Lastpage
    981
  • Abstract
    How to plan the mission role of the CSAR (Combat Search and Rescue) assets is the key point of command control of the CSAR mission in modern and future military operations. In this paper, we analyze the necessary role type based on the requirements of the CSAR mission; and then model the role of the CSAR assets by means the agent diagram of AML (Agent Modeling Language), which includes the role structure and the mental states of the role, i.e. role belief, role goal and role plan; finally, we present the relationships among the mental states of the role based on the mission stage, i.e. the ingress, rescue operation, and egress, so that the CSAR mission can be planed effectively.
  • Keywords
    military computing; military systems; AML; CSAR team; agent modeling language; combat search and rescue assets; command control; military operations; Abstracts; Atmospheric modeling; Dictionaries; Lead; Organizations; Peer to peer computing; Personnel; AML; Agent; CSAR; Mental states; Mission role;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6359486
  • Filename
    6359486