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
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;
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
Conference_Location :
Boca Raton, FL
Print_ISBN :
978-1-4577-2068-0
Electronic_ISBN :
1082-3409
DOI :
10.1109/ICTAI.2011.125