• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Liu Wanwei, Wang Ji, and Chen Huowang. A Game-Based Axiomatization of μ-Calculus[J]. Journal of Computer Research and Development, 2007, 44(11): 1896-1902.
Citation: Liu Wanwei, Wang Ji, and Chen Huowang. A Game-Based Axiomatization of μ-Calculus[J]. Journal of Computer Research and Development, 2007, 44(11): 1896-1902.

A Game-Based Axiomatization of μ-Calculus

More Information
  • Published Date: November 14, 2007
  • With the never-ending growth of the complexity of modern hardware and software systems, more and more sophisticated methods of verification are required. Model checking has been proved to be an effective approach to guaranteeing the correctness of design and implementation of software and hardware system. Model and temporal logics are used as specification languages in software and hardware verification. Modal μ-calculus is an extremely popular and important one among these logics. It is succinct in syntax and powerful in expressiveness. Since Kozen's paper on modal μ-calculus, it has received ever growing interest in both theoretical and application aspects. Based on the focus game theory, Lange and Stirling proposed the axiom systems for LTL and CTL. This paper extends that idea to that for modal μ-calculus. A game-theoretic approach is presented to test the satisfiability of modal μ-calculus formulas. In addition, this approach converts the satisfiability problem for μ-calculus into a solving problem for focus games. Consequently, based on these game rules, an axiom system for μ-calculus is developed, and the completeness of this deductive system can be proved via the game based satisfiability testing procedure. By comparison, this axiom system is much more intuitive and succinct than the existing μ-calculus axiom systems.
  • Related Articles

    [1]Li Chen, Chen Yidong, Lu Zhonghua, Yang Xueying, Wang Zitian, Chi Xuebin. A Parallel Multi-Objective Dividing Rectangles Algorithm Based on Normalized Decomposition[J]. Journal of Computer Research and Development, 2024, 61(11): 2909-2922. DOI: 10.7544/issn1000-1239.202330093
    [2]Ding Chengcheng, Tao Wei, Tao Qing. A Unified Momentum Method with Triple-Parameters and Its Optimal Convergence Rate[J]. Journal of Computer Research and Development, 2020, 57(8): 1571-1580. DOI: 10.7544/issn1000-1239.2020.20200194
    [3]Bi Xiaojun, Zhang Lei, Xiao Jing. Constrained Multi-Objective Optimization Algorithm Based on Dual Populations[J]. Journal of Computer Research and Development, 2015, 52(12): 2813-2823. DOI: 10.7544/issn1000-1239.2015.20148025
    [4]Zhang Tiantian, Cui Lizhen, and Xu Meng. A Pareto-Based Data Placement Strategy in Database as a Service Model[J]. Journal of Computer Research and Development, 2014, 51(6): 1373-1382.
    [5]Zhang Shiwen, Li Zhiyong, Chen Shaomiao, and Li Renfa. Dynamic Multi-Objective Optimization Algorithm Based on Ecological Strategy[J]. Journal of Computer Research and Development, 2014, 51(6): 1313-1330.
    [6]Zhang Yushan, Hao Zhifeng, Huang Han. Global Convergence and Premature Convergence of Two-Membered Evolution Strategy[J]. Journal of Computer Research and Development, 2014, 51(4): 754-761.
    [7]Liu Hailin, Gu Fangqing, Cheung Yiuming. A Weight Design Method Based on Power Transformation for Multi-Objective Evolutionary Algorithm MOEA/D[J]. Journal of Computer Research and Development, 2012, 49(6): 1264-1271.
    [8]Xiong Jinzhi, Xu Jianmin, and Yuan Huaqiang. Convergenceness of a General Formulation for Polynomial Smooth Support Vector Regressions[J]. Journal of Computer Research and Development, 2011, 48(3): 464-470.
    [9]Shao Jie, Yang Jingyu, Wan Minghua, and Huang Chuanbo. Research on Cnvergence of Multi-Robots Path Planning Based on Learning Classifier System[J]. Journal of Computer Research and Development, 2010, 47(5): 948-955.
    [10]Qu Yanwen, Zhang Erhua, and Yang Jingyu. Convergence Property of a Generic Particle Filter Algorithm[J]. Journal of Computer Research and Development, 2010, 47(1): 130-139.

Catalog

    Article views (420) PDF downloads (422) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return