Computationally Hard Problems Are Hard for QBF Proof Systems Too

Authors

  • Agnes Schleitzer Friedrich-Schiller Universität Jena
  • Olaf Beyersdorff Friedrich-Schiller Universität Jena

DOI:

https://doi.org/10.1609/aaai.v39i11.33233

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).

Published

2025-04-11

How to Cite

Schleitzer, A., & Beyersdorff, O. (2025). Computationally Hard Problems Are Hard for QBF Proof Systems Too. Proceedings of the AAAI Conference on Artificial Intelligence, 39(11), 11336–11344. https://doi.org/10.1609/aaai.v39i11.33233

Issue

Section

AAAI Technical Track on Constraint Satisfaction and Optimization