• DocumentCode
    428490
  • Title

    Fast plan recognition through graph construction and analysis

  • Author

    Yin, Ming-hao ; Gu, Wen-xiang ; Lu, Ying-Hua

  • Author_Institution
    Dept. of Comput. Sci., Northeast Normal Univ., Changchun, China
  • Volume
    3
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    2954
  • Abstract
    Goal graph exemplifies plan recognition achievable without a plan library. It´s in this spirit that EFG-graph recognizer is introduced. This method doesn´t suffer the problem of acquisition and handcoding a larger plan library as traditional methods do. It can recognize goals even when actions are only partially observed, and it can make early predications, and these are both problematic for goal graph. Since the recognizer is a domain independent one, the method can be adapted in almost every domain. The experimental results also show that the algorithm has excellent performance in terms of accuracy, efficiency, and scalability.
  • Keywords
    knowledge based systems; pattern recognition; fast plan recognition; goal graph; graph analysis; graph construction; plan library; Algorithm design and analysis; Computer science; Libraries; Machine learning; Machine learning algorithms; Organizing; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2004 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-8566-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2004.1400782
  • Filename
    1400782