Generic CDCL – A Formalization of Modern Propositional Satisfiability Solvers
From International Center for Computational Logic
Generic CDCL – A Formalization of Modern Propositional Satisfiability Solvers
Steffen HölldoblerSteffen Hölldobler, Norbert MantheyNorbert Manthey, Tobias PhilippTobias Philipp, Peter SteinkePeter Steinke
Steffen Hölldobler, Norbert Manthey, Tobias Philipp, Peter Steinke
Generic CDCL – A Formalization of Modern Propositional Satisfiability Solvers
In Steffen Hölldobler and Andrey Malikov and Christoph Wernhard, eds., Proceedings of the Young Scientists' International Workshop on Trends in Information Processing, 2014
Generic CDCL – A Formalization of Modern Propositional Satisfiability Solvers
In Steffen Hölldobler and Andrey Malikov and Christoph Wernhard, eds., Proceedings of the Young Scientists' International Workshop on Trends in Information Processing, 2014
- KurzfassungAbstract
Abstract. Modern propositional satisfiability (or SAT) solvers are very powerful due to recent developments on the underlying data structures, the used heuristics to guide the search, the deduction techniques to infer knowledge, and the formula simplification techniques that are used during pre- and inprocessing. However, when all these techniques are put together, the soundness of the combined algorithm is not guaranteed any more. In this paper we present a small set of rules that allows to model modern SAT solvers in terms of a state transition system. With these rules all techniques which are applied in modern SAT solvers can be adequately modeled. Finally, we compare Generic CDCL with related systems. - Forschungsgruppe:Research Group: WissensverarbeitungKnowledge Representation and Reasoning
@inproceedings{HMPS2014,
author = {Steffen H{\"{o}}lldobler and Norbert Manthey and Tobias Philipp
and Peter Steinke},
title = {Generic {CDCL} {\textendash} A Formalization of Modern
Propositional Satisfiability Solvers},
editor = {Steffen H{\"{o}}lldobler and Andrey Malikov and Christoph
Wernhard},
booktitle = {Proceedings of the Young Scientists' International Workshop on
Trends in Information Processing},
year = {2014}
}