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AAAI 1998

A Non-Deterministic Semantics for Tractable Inference

Conference Paper Tractable Inference Artificial Intelligence

Abstract

Unit resolution is arguably the most useful known algorithm for tractable reasoning in propositional logic. Intuitively, if one knows a, b, and a ∧ b ⊃ c, then c should be an obvious implication. However, devising a tractable semantics that allows unit resolution has proven to be an elusive goal. We propose a 3-valued semantics for a tractable fragment of propositional logic that is inherently non-deterministic: the denotation of a formula is not uniquely determined by the denotation of the variables it contains. We show that this semantics yields a tractable, sound and complete, decision procedure. We generalize this semantics to a family of semantics, tied to Dalal’s notion of intricacy, of increasing deductive power and computational complexity.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
357853349673340589
v2026.09.13