[1]GU Wenxiang,ZHU Lei,HUANG Ping,et al.The model counting of a satisfiability problem[J].CAAI Transactions on Intelligent Systems,2012,7(1):33-39.
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
7
Number of periods:
2012 1
Page number:
33-39
Column:
学术论文—人工智能基础
Public date:
2012-02-25
- Title:
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The model counting of a satisfiability problem
- Author(s):
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GU Wenxiang; ZHU Lei; HUANG Ping; YIN Minghao
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School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China
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- Keywords:
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artificial intelligence; constraint satisfaction problem; propositional satisfiability problem; model counting
- CLC:
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TP18
- DOI:
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- Abstract:
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A model counting problem refers to computing the number of solutions for a given problem which is harder than the decisionmaking problem. Model counting problems are also a hot topic in the field of artificial intelligence. Research on model counting problems can not only improve the efficiency of an algorithm, but also enhance the understanding of the nature of hard problems. Taking a satisfiability problem in propositional logic, known as an SAT, and a constraint satisfaction problem (CSP) as an example, a model counting problem was reviewed from two aspects: an exact algorithm and approximate algorithm. For each aspect, the development and related concepts along with the advantages and disadvantages were emphasized. Moreover, this paper proposed some unsolved questions of the model counting and gave a summary and outlook of the research on model counting.