Affiliation:
1. Faculty of Computer Science, School of Engineering Sciences, TU Dresden, Germany
2. Logic and Computation, Database and Artificial Intelligence Group, TU Wien, Austria
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 past years, the Model Counting Competition was conceived in fall 2019. The competition aims to foster applications, identify new challenging benchmarks, and 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 article, we report on details of the Model Counting Competition 2020, about carrying out the competition, and the results. The competition encompassed three versions of the model counting problem, which we evaluated in separate tracks. The first track featured the model counting problem, which asks for the number of models of a given Boolean formula. On the second track, we challenged developers to submit programs that solve the weighted model counting problem. The last track was dedicated to projected model counting. In total, we received a surprising number of nine solvers in 34 versions from eight groups.
Funder
Austrian Science Fund
Vienna Science and Technology Fund
Publisher
Association for Computing Machinery (ACM)
Subject
Theoretical Computer Science
Reference86 articles.
1. Hailfinder: A Bayesian system for forecasting severe weather
2. The Community Structure of SAT Formulas
3. Fahiem Bacchus Matti Järvisalo and Ruben Martins. 2019. MaxSAT Evaluation 2019. Retrieved August 7 2021 from https://maxsat-evaluations.github.io/2019/. Fahiem Bacchus Matti Järvisalo and Ruben Martins. 2019. MaxSAT Evaluation 2019. Retrieved August 7 2021 from https://maxsat-evaluations.github.io/2019/.
4. Benchmarking and Resource Measurement
5. Reliable benchmarking: requirements and solutions
Cited by
16 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献