Minimization for Generalized Boolean Formulas
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 566-570.
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.
@inproceedings{ijcai2011p102,
title = {Minimization for Generalized Boolean Formulas},
author = {Hemaspaandra, Edith and Schnoor, Henning},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {566--570},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-102},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-102},
}
TY - CPAPER TI - Minimization for Generalized Boolean Formulas AU - Hemaspaandra, Edith AU - Schnoor, Henning T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 566 EP - 570 DO - 10.5591/978-1-57735-516-8/IJCAI11-102 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-102 ER -Copied
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