• DocumentCode
    2651639
  • Title

    Consistency of Triangulated Temporal Qualitative Constraint Networks

  • Author

    Chmeiss, Assef ; Condotta, Jean-François

  • Author_Institution
    Artois CRIL, Univ. Lille-Nord de France, Lens, France
  • fYear
    2011
  • fDate
    7-9 Nov. 2011
  • Firstpage
    799
  • Lastpage
    802
  • Abstract
    In this paper, we introduce for the qualitative constraint networks (QCNs) a new consistency: the partial weak composition consistency. The partial weak composition consistency, similarly to the partial path-consistency, considers triangles of a graph and corresponds to the weak composition consistency restricted to these triangles. We show that for the pre-convex QCNs of the Interval Algebra (IA), the partial weak composition consistency with respect to a triangulation of the graph of constraints is sufficient to decide the consistency problem. From this result, we propose an algorithm allowing to solve QCNs of IA. The experiments that we have conducted show the interest of this algorithm to solve the consistency problem of the QCNs of IA.
  • Keywords
    algebra; constraint satisfaction problems; convex programming; graph theory; graph triangulation; interval algebra; partial weak composition consistency; preconvex QCN; triangulated temporal qualitative constraint network consistency; Algebra; Artificial intelligence; Calculus; Cognition; Conferences; Lead; Polynomials; Temporal constraints; weak composition consistency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
  • Conference_Location
    Boca Raton, FL
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4577-2068-0
  • Electronic_ISBN
    1082-3409
  • Type

    conf

  • DOI
    10.1109/ICTAI.2011.125
  • Filename
    6103416