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On Valued Negation Normal Form Formulas

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Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 360-364.

Abstract

Subsets of the Negation Normal Form formulas (NNFs) of propositional logic have received much attention in AI and proved as valuable representation languages for Boolean functions. In this paper, we present a new framework, called VNNF, for the representation of a much more general class of functions than just Boolean ones. This framework supports a larger family of queries and transformations than in the NNF case, including optimization ones. As such, it encompasses a number of existing settings, e.g. NNFs, semiring CSPs, mixed CSPs, SLDDs, ADD, AADDs. We show how the properties imposed on NNFs to define more tractable fragments (decomposability, determinism, decision, read-once) can be extended to VNNFs, giving rise to subsets for which a number of queries and transformations can be achieved in polynomial time.

Helene Fargier, and Pierre Marquis. 2007. On Valued Negation Normal Form Formulas. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07. IJCAI, 360–364. https://ijcai.org/proceedings/2007/56
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