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AAAI 2002

A Compiler for Deterministic, Decomposable Negation Normal Form

Conference Paper Satisfiability Artificial Intelligence

Abstract

We present a compiler for converting CNF formulas into deterministic, decomposable negation normal form (d-DNNF). This is a logical form that has been identified recently and shown to support a number of operations in polynomial time, including clausal entailment; model counting, minimization and enumeration; and probabilistic equivalence testing. d- DNNFs are also known to be a superset of, and more succinct than, OBDDs. The polytime logical operations supported by d-DNNFs are a subset of those supported by OBDDs, yet are sufficient for model-based diagnosis and planning applications. We present experimental results on compiling a variety of CNF formulas, some generated randomly and others corresponding to digital circuits. A number of the formulas we were able to compile efficiently could not be similarly handled by some state-of-the-art model counters, nor by some state-of-the-art OBDD compilers.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
1033712468921716091
v2026.09.13