A recursive algorithm for projected model counting

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Abstract

We present a recursive algorithm for projected model counting, i.e., the problem consisting in determining the number of models k?X.Sk of a propositional formula S after eliminating from it a given set X of variables. Based on a”standard” model counter, our algorithm projMC takes advantage of a disjunctive decomposition scheme of ?X.S for computing k?X.Sk. It also looks for disjoint components in its input for improving the computation. Our experiments show that in many cases projMC is significantly more efficient than the previous algorithms for projected model counting from the literature.

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APA

Lagniez, J. M., & Marquis, P. (2019). A recursive algorithm for projected model counting. In 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 (pp. 1536–1543). AAAI Press. https://doi.org/10.1609/aaai.v33i01.33011536

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