Deciding Consistency of Databases Containing Defeasible and Strict Information
Goldszmidt, Moises, Pearl, Judea
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Mar-27-2013
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- Asia > Middle East
- Israel (0.14)
- Europe > Netherlands (0.28)
- North America > United States (0.28)
- Asia > Middle East
- Genre:
- Research Report (0.50)
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