English

Deciding Consistency of Databases Containing Defeasible and Strict Information

Artificial Intelligence 2013-04-08 v1

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.

Keywords

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)

R2 v1 2026-06-21T23:54:10.167Z