From Sampling to Model Counting
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
Gomes, C. P., Hoffmann, J., Sabharwal, A., & Selman, B. (2007). From Sampling to Model Counting. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 (pp. 2293–2298). IJCAI. https://ijcai.org/proceedings/2007/369
@inproceedings{ijcai2007p369,
title = {From Sampling to Model Counting},
author = {Gomes, Carla P. and Hoffmann, Jörg and Sabharwal, Ashish and Selman, Bart},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2293--2298},
year = {2007},
url = {https://ijcai.org/proceedings/2007/369},
}
TY - CPAPER TI - From Sampling to Model Counting AU - Gomes, Carla P. AU - Hoffmann, Jörg AU - Sabharwal, Ashish AU - Selman, Bart T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2293 EP - 2298 UR - https://ijcai.org/proceedings/2007/369 ER -Copied
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