Deciding Consistency of Databases Containing Defeasible and Strict Information
Abstract
We propose a norm of consistency for a mixed set of defeasible and strict sentences, based on a probabilistic semantics. This norm establishes a clear distinction between knowledge bases depicting exceptions and those containing outright contradictions. We then define a notion of entailment based also on probabilistic considerations and provide a characterization of the relation between consistency and entailment. We derive necessary and sufficient conditions for consistency, and provide a simple decision procedure for testing consistency and deciding whether a sentence is entailed by a database. Finally, it is shown that if al1 sentences are Horn clauses, consistency and entailment can be tested in polynomial time.
Cite
@article{arxiv.1304.1507,
title = {Deciding Consistency of Databases Containing Defeasible and Strict Information},
author = {Moises Goldszmidt and Judea Pearl},
journal= {arXiv preprint arXiv:1304.1507},
year = {2013}
}
Comments
Appears in Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (UAI1989)