• DocumentCode
    441656
  • Title

    Conditional Effects Based on Conditionally Mutual Exclusions among Actions

  • Author

    Gu, Wen-xiang ; Zhao, Cheng-Li ; Yu, Zhi-Heng

  • Author_Institution
    Department of Computer Science, Northeast Normal University, 130117Changchun, Jilin, China; E-MAIL: gwx@nenu.edu.cn
  • Volume
    1
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    634
  • Lastpage
    637
  • Abstract
    IPP extended Graphplan with STRIPS to ADL subset and solved the planning problem with conditional effects. In this paper, we give the concepts of unconditionally mutual exclusions among actions, semi-conditionally mutual exclusions among actions and completely conditionally mutual exclusions among actions, and then put forward a new approach different from IPP, which is also used to deal with conditional effects. It creates all kinds of mutual exclusion relations when creating a planning graph, and according to them, it can judge whether the check of conditional exclusions is necessary when searching for a plan, so that it will make the solution of extracting faster, which improves the efficiency of the whole system.
  • Keywords
    IPP; completely conditionally mutual exclusions among actions; conditional effects; semi-conditionally mutual exclusions among actions; unconditionally mutual exclusions among actions; Artificial intelligence; Computer science; Cybernetics; Delay effects; Machine learning; Process planning; Strips; Uncertainty; IPP; completely conditionally mutual exclusions among actions; conditional effects; semi-conditionally mutual exclusions among actions; unconditionally mutual exclusions among actions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527021
  • Filename
    1527021