Proceedings

Minimization for Generalized Boolean Formulas

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 566-570.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-102

Abstract

The minimization problem for propositional formulas is an important optimization problem in the second level of the polynomial hierarchy. In general, the problem is Sigma-2-complete under Turing reductions, but restricted versions are tractable. We study the complexity of minimization for formulas in two established frameworks for restricted propositional logic: The Post framework allowing arbitrarily nested formulas over a set of Boolean connectors, and the constraint setting, allowing generalizations of CNF formulas. In the Post case, we obtain a dichotomy result: Minimization is solvable in polynomial time or coNP-hard. This result also applies to Boolean circuits. For CNF formulas, we obtain new minimization algorithms for a large class of formulas, and give strong evidence that we have covered all polynomial-time cases.

Edith Hemaspaandra, and Henning Schnoor. 2011. Minimization for Generalized Boolean Formulas. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 566–570. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-102
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