A Review of Structural Characteristics of Satisfiability Problems

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A Review of Structural Characteristics of Satisfiability Problems

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[1]WANG Xiaofeng,PANG Lichao,MO Chunhui,et al.A Review of Structural Characteristics of Satisfiability Problems[J].Journal of Zhengzhou University (Engineering Science),2023,44(06):40-47.[doi:10.13705/j.issn.1671-6833.2023.03.013]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 44 Number of periods: 2023 06 Page number: 40-47 Column: Public date: 2023-12-25

Title:: A Review of Structural Characteristics of Satisfiability Problems

Author(s):: WANG Xiaofeng¹; 2; PANG Lichao¹; MO Chunhui¹; YANG Yi¹; ZHAO Xingyu¹; YANG Lan¹; 1. School of Computer Science and Engineering, North Minzu University, YinChuan 750021,China; 2. Key Laboratory of Image and Graphics Intelligent Processing of State Ethnic Affairs Commission, North Minzu University, YinChuan 750021,China

Keywords:: satisfiability problems; phase transition; tree decomposition; structural entropy; DNA origami

CLC:: TP301

DOI:: 10.13705/j.issn.1671-6833.2023.03.013

Abstract:: Satisfiability ( SAT) problem is the basic problem of artificial intelligence, which is also a hard problem of NP. It has practical applications in machine learning, pattern recognition and natural language processing. However, with the development of artificial intelligence, more and more complex problems popped up. The original algorithms were no longer applicable and need to be further optimized or improved, which put forward higher requirements for basic research. In order to study the inherent nature of the difficult SAT problem, the structural characteristics of the problem were studied, and then the efficient algorithm to solve the SAT problem were found out. Phase transition, tree width, structural entropy, and DNA origami were four metric models for studying the structural characteristics of SAT problems, which attracted the attention of researchers in recent years. In order to clarify the research progress on the structural characteristics of SAT problems, based on the above four measurement models, the structural characteristics of SAT problems were summarized, and the challenges and future directions of the research on structural characteristics of SAT problems were pointed out. Although some research achievements were made in phase change analysis, tree decomposition algorithm, structural entropy and DNA origami in solving SAT problems, breakthroughs are still needed in solving the accurate upper bound of phase change points, guiding the design of SAT solvers by structural metric model, and improving the efficiency of tree decomposition algorithm, which will become the focus of future research on structural characteristics of SAT problems.

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