• DocumentCode
    2032425
  • Title

    State-action pairs reduction for strong cyclic planning via state reachability

  • Author

    Wen, Zhong-Hua ; Chen, Hian-Lin ; Chang, Qing ; Hu, Yu-Long

  • Author_Institution
    Coll. of Inf. Eng., Xiangtan Univ., Xiangtan, China
  • Volume
    4
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    1917
  • Lastpage
    1921
  • Abstract
    Strong cyclic planning under all state-action pairs has been addressed in the literature. Normally, the more the state-action pairs are, the higher of complexity is. In fact, there are many state-action pairs which are useless for strong cyclic planning. Before finding strong cyclic planning, it is significant to find a set of state-action pairs which are useless for strong cyclic planning, and to best of our knowledge, it is still an open problem. In this paper, hypergraph is defined for a nondeterministic state-transition system, adjacency matrix and reachability matrix of the hypergraph are defined. A method about how to use the adjancey matrix to count the reachability matrix is designed, and a way about how to use the reachability matrix to count the state reachability is presented in a nondeterministic state-transition system. Some important conclusions about strong cyclic planning are obtained by using the state reachability. These conclusions tell us what state-action pairs are useless when we search strong cyclic planning. So a lot of state-action pairs can be eliminated directly from all state-action pairs before searching strong cyclic planning. Our first contribution is the method which finds state reachability in nondeterministic state-transition system. A second contribution is the some important conclusions about strong cyclic planning, these works are significant to improve the efficiency of algorithm for solving strong cyclic planning.
  • Keywords
    matrix algebra; planning (artificial intelligence); reachability analysis; adjacency matrix; hypergraph; nondeterministic state-transition system; reachability matrix; state reachability; state-action pairs reduction; strong cyclic planning; Algorithm design and analysis; Artificial intelligence; Complexity theory; Finite element methods; Joints; Planning; USA Councils; hypergraph; nondeterministic state-transition system; state reachability; strong cyclic planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569458
  • Filename
    5569458