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On the use and effect of graph decomposition in qualitative spatial and temporal reasoning
- Source :
- 30th Annual ACM Symposium on Applied Computing, 30th Annual ACM Symposium on Applied Computing, Apr 2015, Salamanca, Spain. pp.1874-1879, ⟨10.1145/2695664.2695831⟩, SAC
- Publication Year :
- 2015
- Publisher :
- HAL CCSD, 2015.
-
Abstract
- We survey the use and effect of decomposition-based techniques in qualitative constraint-based reasoning, and clarify the notions of a tree decomposition, a chordal graph, and a partitioning graph, and their implication with a particular constraint property that has been extensively used in literature, namely, patchwork. As a consequence, we prove that a recently proposed decomposition-based approach that was presented in [AAAI, 2014 ] for checking the satisfiability of qualitative spatial constraint networks lacks soundness. Therefore, the approach becomes quite controversial as it does not seem to offer any technical advance at all, while experimental evaluation of it in a following paper presented in [ICTAI, 2014 ] becomes questionable.
- Subjects :
- Soundness
Computer science
business.industry
Tree decomposition
Graph
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Modular decomposition
Qualitative reasoning
Constraint graph
Chordal graph
Clique-width
Graph (abstract data type)
Decomposition method (constraint satisfaction)
Artificial intelligence
Null graph
business
Graph property
ComputingMilieux_MISCELLANEOUS
Moral graph
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 30th Annual ACM Symposium on Applied Computing, 30th Annual ACM Symposium on Applied Computing, Apr 2015, Salamanca, Spain. pp.1874-1879, ⟨10.1145/2695664.2695831⟩, SAC
- Accession number :
- edsair.doi.dedup.....14c8b574d118187ddf9a156311301d86
- Full Text :
- https://doi.org/10.1145/2695664.2695831⟩