Proceedings

From Sampling to Model Counting

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Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2293-2298.

Abstract

We introduce a new technique for counting models of Boolean satisfiability problems. Our approach incorporates information obtained from sampling the solution space. Unlike previous approaches, our method does not require uniform or near-uniform samples. It instead converts local search sampling without any guarantees into very good bounds on the model count with guarantees. We give a formal analysis and provide experimental results showing the effectiveness of our approach.

Carla P. Gomes, Jörg Hoffmann, Ashish Sabharwal, and Bart Selman. 2007. From Sampling to Model Counting. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07. IJCAI, 2293–2298. https://ijcai.org/proceedings/2007/369
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