• DocumentCode
    506827
  • Title

    Towards tractable reasoning on temporal projection problems

  • Author

    Tan, Xing ; Gruninger, Michael

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Univ. of Toronto, Toronto, ON, Canada
  • Volume
    1
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    723
  • Lastpage
    727
  • Abstract
    It is well known that reasoning with AI temporal projection problems is difficult. Determining the Possible Truth problem, a basic temporal projection decision problem, in the so-called Simple Event System remains NP-complete. In this paper, two types of constraints, on the graph-theoretic representation of the cause-and-effect relationships between events and on the partial orders of events, are further considered upon this boundary NP-complete Possible Truth problem, in an attempt to gain tractability. In particular, we show that the problem is still NP-complete even if the cause-and-effect graphs maintain a strongly restricted topology, whereas it is tractable if the graph is closely associated with the set of pairwise disjoint partial orders, which in addition is hierarchically structured.
  • Keywords
    cause-effect analysis; computational complexity; graph theory; inference mechanisms; optimisation; AI reasoning; AI temporal projection problems; NP-complete problem; cause-and-effect relationship; graph theory; possible truth problem; simple event system; Artificial intelligence; Industrial engineering; Knowledge representation; Laboratories; Manufacturing processes; Polynomials; Process control; Semantic Web; Topology; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358396
  • Filename
    5358396