Non-Binary Constraints and Optimal Dual-Graph Representations
Abstract
We study the relationships among structural methods for identifying and solving tractable classes of Constraint Satisfaction Problems (CSPs). In particular, we first answer a long-standing question about the notion of biconnected components applied to an reduct of the dual constraint-graph, by showing that this notion is in fact equivalent to the hinge decomposition method. Then, we give a precise characterization of the relationship between the treewidth notion applied to the hidden-variable encoding of a CSP and the same notion applied to some optimal reduct of the dual constraint-graph. Finally, we face the open problem of computing such an optimal reduct. We provide an algorithm that outputs an approximation of an optimal tree decomposition, and give a qualitative explanation of the difference between this graph-based method and more general hypergraph-based methods.
Cite
Text
Greco and Scarcello. "Non-Binary Constraints and Optimal Dual-Graph Representations." International Joint Conference on Artificial Intelligence, 2003.Markdown
[Greco and Scarcello. "Non-Binary Constraints and Optimal Dual-Graph Representations." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/greco2003ijcai-non/)BibTeX
@inproceedings{greco2003ijcai-non,
title = {{Non-Binary Constraints and Optimal Dual-Graph Representations}},
author = {Greco, Gianluigi and Scarcello, Francesco},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2003},
pages = {227-232},
url = {https://mlanthology.org/ijcai/2003/greco2003ijcai-non/}
}