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题名:
characterising probabilistic processes logically
作者: Deng Yuxin ; Van Glabbeek Rob
会议文集: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议名称: 17th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR-17
会议日期: 40826
出版日期: 2010
会议地点: Yogyakarta, Indonesia
关键词: Artificial intelligence
出版地: Germany
收录类别: ei
ISSN: 3029743
ISBN: 364216241X
部门归属: (1) Dept. Comp. Sci. and Eng., MOE-Microsoft Key Lab. for Intell. Comp. and Syst., Shanghai Jiao Tong University, China; (2) State Key Lab of Comp. Sci., Inst. of Software, Chinese Academy of Sciences, China; (3) NICTA, Australia; (4) University of New South Wales, Australia
英文摘要: In this paper we work on (bi)simulation semantics of processes that exhibit both nondeterministic and probabilistic behaviour. We propose a probabilistic extension of the modal mu-calculus and show how to derive characteristic formulae for various simulation-like preorders over finite-state processes without divergence. In addition, we show that even without the fixpoint operators this probabilistic mu-calculus can be used to characterise these behavioural relations in the sense that two states are equivalent if and only if they satisfy the same set of formulae. © 2010 Springer-Verlag.
语种: 英语
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8686
Appears in Collections:中科院软件所图书馆_2010软件所会议论文

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Recommended Citation:
Deng Yuxin,Van Glabbeek Rob. characterising probabilistic processes logically[C]. 见:17th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning, LPAR-17. Yogyakarta, Indonesia. 40826.
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