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AAAI 2006

Abstract Branching for Quantified Formulas

Conference Paper Constraint Satisfaction and Satisfiability Artificial Intelligence

Abstract

We introduce a novel search-based decision procedure for Quantified Boolean Formulas (QBFs), called Abstract Branching. As opposed to standard search-based procedures, it escapes the burdensome need for branching on both children of every universal node in the search tree. This is achieved by branching on existential variables only, while admissible universal assignments are inferred. Running examples and experimental results are reported.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
709759154008072336