Arrow Research search
Back to ECAI

ECAI 2012

Planning as Quantified Boolean Formula

Conference Paper ECAI Long Papers Artificial Intelligence

Abstract

This paper introduces two techniques for translating bounded propositional reachability problems into Quantified Boolean Formulae (QBF). Both exploit the binary-tree structure of the QBF problem to produce encodings logarithmic in the size of the instance and thus exponentially smaller than the corresponding SAT encoding with the same bound. The first encoding is based on the iterative squaring formulation of Rintanen. The second encoding is a compact tree encoding that is more efficient than the first one, requiring fewer alternations of quantifiers and fewer variables. We present experimental results showing that the approach is feasible, although not yet competitive with current state of the art SAT-based solvers.

Authors

Keywords

No keywords are indexed for this paper.

Context

Venue
European Conference on Artificial Intelligence
Archive span
1982-2025
Indexed papers
5223
Paper id
815797830623225814
v2026.09.13