Building Strategies into QBF Proofs

Author:

Beyersdorff OlafORCID,Blinkhorn Joshua,Mahajan Meena

Abstract

AbstractStrategy extraction is of great importance for quantified Boolean formulas (QBF), both in solving and proof complexity. So far in the QBF literature, strategy extraction has been algorithmically performed from proofs. Here we devise the first QBF system where (partial) strategies are built into the proof and are piecewise constructed by simple operations along with the derivation. This has several advantages: (1) lines of our calculus have a clear semantic meaning as they are accompanied by semantic objects; (2) partial strategies are represented succinctly (in contrast to some previous approaches); (3) our calculus has strategy extraction by design; and (4) the partial strategies allow new sound inference steps which are disallowed in previous central QBF calculi such as Q-Resolution and long-distance Q-Resolution. The last item (4) allows us to show an exponential separation between our new system and the previously studied reductionless long-distance resolution calculus. Our approach also naturally lifts to dependency QBFs (DQBF), where it yields the first sound and complete CDCL-style calculus for DQBF, thus opening future avenues into CDCL-based DQBF solving.

Funder

John Templeton Foundation

Carl-Zeiss-Stiftung

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hard QBFs for Merge Resolution;ACM Transactions on Computation Theory;2023-12-22

2. A Resolution Proof System for Dependency Stochastic Boolean Satisfiability;Journal of Automated Reasoning;2023-08-03

3. Davis and Putnam Meet Henkin: Solving DQBF with Resolution;Theory and Applications of Satisfiability Testing – SAT 2021;2021

4. QBFFam: A Tool for Generating QBF Families from Proof Complexity;Theory and Applications of Satisfiability Testing – SAT 2021;2021

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