Classes of Hard Formulas for QBF Resolution
Schleitzer, Agnes (a:1:{s:5:"en_US";s:18:"University of Jena";}) | Beyersdorff, Olaf (Friedrich-Schiller-Universit¨at Jena, Fakult¨at f¨ur Mathematik und Informatik, Institut f¨ur Informatik)
–Journal of Artificial Intelligence Research
To date, we know only a few handcrafted quantified Boolean formulas (QBFs) that are hard for central QBF resolution systems such as Q-Res and QU-Res, and only one specific QBF family to separate Q-Res and QU-Res. Here we provide a general method to construct hard formulas for Q-Res and QU-Res. The construction uses simple propositional formulas (e.g. minimally unsatisfiable formulas) in combination with easy QBF gadgets (Σb2 formulas without constant winning strategies). This leads to a host of new hard formulas, including new classes of hard random QBFs. We further present generic constructions for formulas separating Q-Res and QU-Res, and for separating Q-Res and LD-Q-Res.
Journal of Artificial Intelligence Research
Aug-14-2023
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