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Refinement-Based Enumeration of QBF Solutions

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Counting the number of solutions of true and false quantified Boolean formulas (QBFs) has received increased interest in recent years. However, the explicit enumeration of all solutions for a QBF is almost unexplored so far. For QBF solution counting, it has been shown that enumeration-based counting as employed in SAT is not complete for QBF. Solution enumeration runs into the same problem. We propose a refinement-based approach to enumerate (all) solutions of true and false QBFs. To this end, we develop a novel framework to characterize the enumeration problem at quantifier level two and present a complete enumeration algorithm that can be interrupted at any time as soon as enough solutions are found. We evaluated our implementation called QEnum in three different case studies.

OriginalspracheEnglisch
TitelLogics in Artificial Intelligence - 19th European Conference, JELIA 2025, Proceedings
Untertitel19th European Conference, JELIA 2025, Kutaisi, Georgia, September 1–4, 2025, Proceedings, Part II
Herausgeber*innenGiovanni Casini, Besik Dundua, Temur Kutsia
Seiten166-181
Seitenumfang16
Auflage1
ISBN (elektronisch)978-3-032-04589-8
DOIs
PublikationsstatusVeröffentlicht - 01 Sep. 2025

Publikationsreihe

NameLecture Notes in Computer Science
Band16094 LNAI
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Wissenschaftszweige

  • 101013 Mathematische Logik
  • 102031 Theoretische Informatik
  • 603109 Logik
  • 102011 Formale Sprachen
  • 102022 Softwareentwicklung
  • 102001 Artificial Intelligence
  • 102030 Semantische Technologien
  • 102 Informatik

JKU-Schwerpunkte

  • Digital Transformation

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