The Model Counting Competition 2020
Johannes K. Fichte, Markus Hecher, Florim Hamiti

TL;DR
The paper reports on the 2020 Model Counting Competition, which evaluated various solvers across different problem versions, highlighting progress and challenges in practical model counting applications.
Contribution
It introduces the 2020 competition, details its execution, and presents results that benchmark current solver capabilities for different model counting problems.
Findings
Nine solvers participated across three problem tracks.
The competition revealed the current state of solver performance.
Results indicate progress and ongoing challenges in practical model counting.
Abstract
Many computational problems in modern society account to probabilistic reasoning, statistics, and combinatorics. A variety of these real-world questions can be solved by representing the question in (Boolean) formulas and associating the number of models of the formula directly with the answer to the question. Since there has been an increasing interest in practical problem solving for model counting over the last years, the Model Counting (MC) Competition was conceived in fall 2019. The competition aims to foster applications, identify new challenging benchmarks, and to promote new solvers and improve established solvers for the model counting problem and versions thereof. We hope that the results can be a good indicator of the current feasibility of model counting and spark many new applications. In this paper, we report on details of the Model Counting Competition 2020, about…
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