Publisher Summary The past few years have seen enormous progress in the performance of
Boolean satisfiability (SAT) solvers. Despite the worst-case exponential run time of all known …

Handbook of Knowledge Representation describes the essential foundations of Knowledge
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …

We present a new CEGAR-based algorithm for QBF. The algorithm builds on a
decomposition of QBFs into a sequence of propositional formulas, which we call the clausal …

Within the verification community, there has been a recent increase in interest in Quantified
Boolean Formula evaluation (QBF) as many interesting sequential circuit verification …

In this paper, we describe a new framework for evaluating Quantified Boolean Formulas
(QBF). The new framework is based on the Davis-Putnam (DPLL) search algorithm. In …

We demonstrate how to learn efficient heuristics for automated reasoning algorithms for
quantified Boolean formulas through deep reinforcement learning. We focus on a …

LNAI 3632 - sKizzo: A Suite to Evaluate and Certify QBFs Page 1 sKizzo: A Suite to Evaluate
and Certify QBFs Marco Benedetti Istituto per la Ricerca Scientifica e Tecnologica (IRST), Via …

We present a novel approach to solve quantified boolean formulas with one quantifier
alternation (2QBF). The algorithm incrementally adds new constraints to the formula until the …

Abstract The language of Quantified Boolean Formulas (QBF) has a lot of potential
applications to Formal Verification (FV) tasks, as it captures many of these tasks in a natural …

The implementation of effective reasoning tools for deciding the satisfiability of Quantified
Boolean Formulas (QBFs) is an important research issue in Artificial Intelligence. Many …