1. Structural Consistency : A New Filtering Approach for Constraint Networks
- Author
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Philippe Jégou, Cyril Terrioux, Laboratoire des Sciences de l'Information et des Systèmes (LSIS), Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU), M. Croitoru et al., Croitoru, M. Rudolph, S. Wilson, N. Howse, J. Corby, O., Domingues Vinhas, William, and Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Mathematical optimization ,Weak consistency ,Sequential consistency ,Release consistency ,Strong consistency ,Consistency model ,Causal consistency ,0102 computer and information sciences ,02 engineering and technology ,[INFO] Computer Science [cs] ,01 natural sciences ,[SPI.AUTO]Engineering Sciences [physics]/Automatic ,[SPI.AUTO] Engineering Sciences [physics]/Automatic ,010201 computation theory & mathematics ,Consistency (statistics) ,0202 electrical engineering, electronic engineering, information engineering ,Local consistency ,020201 artificial intelligence & image processing ,[INFO]Computer Science [cs] ,Algorithm ,ComputingMilieux_MISCELLANEOUS ,Mathematics - Abstract
In this paper, we introduce a new partial consistency for constraint networks which is called Structural Consistency of level w and is denoted w-SC consistency. This consistency is based on a new approach. While conventional consistencies generally rely on local properties extended to the entire network, this new partial consistency considers global consistency on subproblems. These subproblems are defined by partial constraint graphs whose tree-width is bounded by a constant w. We introduce a filtering algorithm which achieves w-SC consistency. We also analyze w-SC filtering w.r.t. other classical local consistencies to prove that this consistency is generally incomparable although this consistency can be regarded as a special case of inverse consistency. Finally, we present experimental results to assess the usefulness of this approach. We show that w-SC is a significantly more powerful level of filtering and more effective w.r.t. the runtime than SAC and that w-SC is a complementary approach to AC or SAC. So we can offer a combination of filterings, whose power is greater than w-SC or SAC.
- Published
- 2014