Computationally Hard Problems Are Hard for QBF Proof Systems Too

There has been tremendous progress in the past decade in the field of quantified Boolean formulas (QBF), both in practical solving as well as in creating a theory of corresponding proof systems and their proof complexity analysis. Both for solving and for proof complexity, it is important to have interesting formula families on which we can test solvers and gauge the strength of the proof systems. There are currently few such formula families in the literature. We initiate a general programme how to transform computationally hard problems (located in the polynomial hierarchy) into QBFs hard for the main QBF resolution systems Q-Res and QU-Res that relate to core QBF solvers. We illustrate this general approach on three problems from graph theory and logic. This yields QBF families that are provably hard for Q-Res and QU-Res (without any complexity assumptions).

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Publication Details

Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Published
2025-04-11
DOI
https://doi.org/10.1609/aaai.v39i11.33233
Primary Topic
Numerical Methods and Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Computationally Hard Problems Are Hard for QBF Proof Systems Too

Olaf Beyersdorff, Agnes Schleitzer
Proceedings of the AAAI Conference on Artificial Intelligence
Numerical Methods and Algorithms
article

Computationally Hard Problems Are Hard for QBF Proof Systems Too

Olaf Beyersdorff, Agnes Schleitzer
article en

Abstract

There has been tremendous progress in the past decade in the field of quantified Boolean formulas (QBF), both in practical solving as well as in creating a theory of corresponding proof systems and their proof complexity analysis. Both for solving and for proof complexity, it is important to have interesting formula families on which we can test solvers and gauge the strength of the proof systems. There are currently few such formula families in the literature. We initiate a general programme how to transform computationally hard problems (located in the polynomial hierarchy) into QBFs hard for the main QBF resolution systems Q-Res and QU-Res that relate to core QBF solvers. We illustrate this general approach on three problems from graph theory and logic. This yields QBF families that are provably hard for Q-Res and QU-Res (without any complexity assumptions).

Proceedings of the AAAI Conference on Artificial IntelligenceVol. 39(11)
Friedrich Schiller University Jena (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 85%
Numerical Methods and Algorithms
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