Abstract
This paper presents an extension of Conflict Driven Clauses Learning (CDCL). It relies on an extended notion of implication graph containing additional arcs, called inverse arcs. These are obtained by taking into account the satisfied clauses of the formula, which are usually ignored by conflict analysis. This extension captures more conveniently the whole propagation process, and opens new perspectives for CDCL-based approaches. Among other benefits, our extension leads to a new conflict analysis scheme that exploits the additional arcs to back-jump to higher levels. Experimental results show that the integration of our generalized conflict analysis scheme within two state-of-the-art solvers improves their performance.
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Audemard, G., Bordeaux, L., Hamadi, Y., Jabbour, S., Sais, L. (2008). A Generalized Framework for Conflict Analysis. In: Kleine Büning, H., Zhao, X. (eds) Theory and Applications of Satisfiability Testing – SAT 2008. SAT 2008. Lecture Notes in Computer Science, vol 4996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79719-7_3
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DOI: https://doi.org/10.1007/978-3-540-79719-7_3
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