Abduction with Bounded Treewidth: From Theoretical Tractability to Practically Efficient Computation
Abstract
Abductive diagnosis is an important method to iden-tify explanations for a given set of observations. Un-fortunately, most of the algorithmic problems in this area are intractable. We have recently shown (Gott-lob, Pichler, & Wei 2006) that these problems become tractable if the underlying clausal theory has bounded treewidth. However, turning these theoretical tractabil-ity results into practically efficient algorithms turned out to be very problematical. In (Gottlob, Pichler, & Wei 2007), we have established a new method based on monadic datalog which remedies this unsatisfactory sit-uation. Specifically, we designed an efficient algorithm for a strongly related problem in the database area. In the current paper, we show that these favorable results can be carried over to logic-based abduction.
Cite
Text
Gottlob et al. "Abduction with Bounded Treewidth: From Theoretical Tractability to Practically Efficient Computation." AAAI Conference on Artificial Intelligence, 2008.Markdown
[Gottlob et al. "Abduction with Bounded Treewidth: From Theoretical Tractability to Practically Efficient Computation." AAAI Conference on Artificial Intelligence, 2008.](https://mlanthology.org/aaai/2008/gottlob2008aaai-abduction/)BibTeX
@inproceedings{gottlob2008aaai-abduction,
title = {{Abduction with Bounded Treewidth: From Theoretical Tractability to Practically Efficient Computation}},
author = {Gottlob, Georg and Pichler, Reinhard and Wei, Fang},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2008},
pages = {1541-1546},
url = {https://mlanthology.org/aaai/2008/gottlob2008aaai-abduction/}
}