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
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