Modern solvers for Boolean Satisfiability (SAT) and Answer Set Programming (ASP) are based on sophisticated Boolean constraint solving techniques. In both areas, conflict-driven learning and related techniques constitute key features whose application is enabled by conflict analysis. Although various conflict analysis schemes have been proposed, implemented, and studied both theoretically and practically in the SAT area, the heuristic aspects involved in conflict analysis have not yet received much attention. Assuming a fixed conflict analy-sis scheme, we address the open question of how to iden-tify “good ” reasons for conflicts, and we investigate several heuristics for conflict analysis in ASP solving. To our knowl-edge, a systematic stu...
In this article, we present a small, complete, and efficient SAT-solver in the style of conflict-dri...
The last 20 years have seen dramatic improvements in the performance of algorithms for Boolean satis...
Conflict analysis for infeasible subproblems is one of the key ingredients in modern SAT solvers to ...
We introduce an approach to computing answer sets of logic programs, based on con-cepts successfully...
AbstractWe introduce an approach to computing answer sets of logic programs, based on concepts succe...
One of the most important features of current state-of-the-art SAT solvers is the use of conflict ba...
Within the verification community, there has been a recent increase in interest in Quantified Boolea...
Abstract. Finding all satisfying assignments of a propositional formula has many applications to the...
Abstract. Boolean Satisfiability (SAT) solving has dramatically evolved in the past decade and a hal...
We present a new approach to conflict analysis for propositional satisfiability solvers based on the...
Conflict learning plays a key role in modern Boolean constraint solving. Advanced in satisfiability ...
Clause learning is the key component of modern SAT solvers, while conflict analysis based on the imp...
Abstract. This paper makes several contributions to Conflict Driven Clauses Learning (CDCL), which i...
Satisfiability problem or SAT is the problem of deciding whether a Boolean function evaluates to tr...
This report documents the program and the outcomes of Dagstuhl Seminar 22411 "Theory and Practice of...
In this article, we present a small, complete, and efficient SAT-solver in the style of conflict-dri...
The last 20 years have seen dramatic improvements in the performance of algorithms for Boolean satis...
Conflict analysis for infeasible subproblems is one of the key ingredients in modern SAT solvers to ...
We introduce an approach to computing answer sets of logic programs, based on con-cepts successfully...
AbstractWe introduce an approach to computing answer sets of logic programs, based on concepts succe...
One of the most important features of current state-of-the-art SAT solvers is the use of conflict ba...
Within the verification community, there has been a recent increase in interest in Quantified Boolea...
Abstract. Finding all satisfying assignments of a propositional formula has many applications to the...
Abstract. Boolean Satisfiability (SAT) solving has dramatically evolved in the past decade and a hal...
We present a new approach to conflict analysis for propositional satisfiability solvers based on the...
Conflict learning plays a key role in modern Boolean constraint solving. Advanced in satisfiability ...
Clause learning is the key component of modern SAT solvers, while conflict analysis based on the imp...
Abstract. This paper makes several contributions to Conflict Driven Clauses Learning (CDCL), which i...
Satisfiability problem or SAT is the problem of deciding whether a Boolean function evaluates to tr...
This report documents the program and the outcomes of Dagstuhl Seminar 22411 "Theory and Practice of...
In this article, we present a small, complete, and efficient SAT-solver in the style of conflict-dri...
The last 20 years have seen dramatic improvements in the performance of algorithms for Boolean satis...
Conflict analysis for infeasible subproblems is one of the key ingredients in modern SAT solvers to ...