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Ultimately Periodic Qualitative Constraint Networks for Spatial and Temporal Reasoning
Hong Kong, China November 14-November 16
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2005.12417th IEEE International Conference on ...
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Jean-François Condotta, Université déArtois
Gérard Ligozat, Université de Paris-Sud
We consider qualitative temporal or spatial constraint networks whose constraints evolve over time in an ultimately periodic fashion: after an initial stretch of time, a fixed pattern of constraints (over an interval) is reproduced indefinitely. We propose a local propagation algorithm which is polynomial, and we show that it decides the consistency problem in some particular cases. We also show that the general problem of consistency for such networks is in PSPACE.
Citation:
Jean-François Condotta, Gérard Ligozat, Stavros Tripakis, "Ultimately Periodic Qualitative Constraint Networks for Spatial and Temporal Reasoning," ictai, pp.584-588, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
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