SharpSAT-TD in Model Counting Competitions 2021-2023
Artificial Intelligence
2023-08-31 v1
Abstract
We describe SharpSAT-TD, our submission to the unweighted and weighted tracks of the Model Counting Competition in 2021-2023, which has won in total first places in different tracks of the competition. SharpSAT-TD is based on SharpSAT [Thurley, SAT 2006], with the primary novel modification being the use of tree decompositions in the variable selection heuristic as introduced by the authors in [CP 2021]. Unlike the version of SharpSAT-TD evaluated in [CP 2021], the current version that is available in https://github.com/Laakeri/sharpsat-td features also other significant modifications compared to the original SharpSAT, for example, a new preprocessor.
Cite
@article{arxiv.2308.15819,
title = {SharpSAT-TD in Model Counting Competitions 2021-2023},
author = {Tuukka Korhonen and Matti Järvisalo},
journal= {arXiv preprint arXiv:2308.15819},
year = {2023}
}
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3 pages