Title :
Consistency of Qualitative Constraint Networks from Tree Decompositions
Author :
Condotta, Jean-François ; D´Almeida, Dominique
Abstract :
A common way to decide the consistency problem of a qualitative constraint network (QCN) is to encode it as a boolean formula in order to benefit from the efficiency of SAT solvers. In recent works, a decomposition method of QCNs have been proposed to reduce the amount of boolean formulae. In this paper, we first show that the decompositions used can be expressed by particular tree decompositions. Furthermore, for some classes of relations, we prove that the consistency problem of a QCN can be decided by applying the method of the closure by weak composition on the clusters of a tree decomposition. This result allows us to extend the approach recently proposed to tree decompositions of QCNs.
Keywords :
computability; computational complexity; network theory (graphs); trees (mathematics); Boolean formula; QCN decomposition method; SAT solver; closure method; consistency problem; qualitative constraint network; satisfiability; tree decomposition; Algebra; Artificial intelligence; Calculus; Cognition; Encoding; Geographic Information Systems; Lenses; Consistency problem; Temporal qualitative constraints; Tree decomposition;
Conference_Titel :
Temporal Representation and Reasoning (TIME), 2011 Eighteenth International Symposium on
Conference_Location :
Lubeck
Print_ISBN :
978-1-4577-1242-5
DOI :
10.1109/TIME.2011.22