• DocumentCode
    2563880
  • Title

    A Recognition Approach for Adversarial Planning Based on Complete Goal Graph

  • Author

    Yin, Ji-Li ; Liu, Ying ; Wang, Jin-yan ; Gu, Wen-xiang ; Zhang, Yin-Ping

  • fYear
    2007
  • fDate
    15-19 Dec. 2007
  • Firstpage
    286
  • Lastpage
    290
  • Abstract
    Based on classical plan graph and goal graph, complete goal graph (CGG) is constructed against the characteristics of adversarial domain. The complete goal graph makes the action relate with its goal directly, which is more efficient to recognize adversarial goals. The conception of complete degree of goals will be put forward to distinguish adversarial high level goals. Then, a deep research is done on adversarial plan recognition algorithm based on CGG, which not only can predict adversarial next step action, but also can recognize adversarial goals in different levels with complete degrees. The research is of great significance for the plan recognition problem of uncontrollable and nondeterministic domain such as contest robot, information security, business strategy, game role design and etc.
  • Keywords
    Character recognition; Computational intelligence; Computer science; Computer security; Concrete; Equations; Game theory; Information security; Libraries; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2007 International Conference on
  • Conference_Location
    Harbin, China
  • Print_ISBN
    0-7695-3072-9
  • Electronic_ISBN
    978-0-7695-3072-7
  • Type

    conf

  • DOI
    10.1109/CIS.2007.91
  • Filename
    4415349