Towards a Classification of Behavioural Equivalences in Continuous-time Markov Processes

Q3 Computer Science
Linan Chen , Florence Clerc , Prakash Panangaden
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引用次数: 1

Abstract

Bisimulation is a concept that captures behavioural equivalence of states in a transition system. In [Linan Chen, Florence Clerc, and Prakash Panangaden, Bisimulation for feller-dynkin processes, in: Proceedings of the Thirty-Fifth Conference on the Mathematical Foundations of Programming Semantics, Electronic Notes in Theoretical Computer Science 347 (2019) 45–63.], we proposed two equivalent definitions of bisimulation on continuous-time stochastic processes where the evolution is a flow through time. In the present paper, we develop the theory further: we introduce different concepts that correspond to different behavioural equivalences and compare them to bisimulation. In particular, we study the relation between bisimulation and symmetry groups of the dynamics. We also provide a game interpretation for two of the behavioural equivalences. We then compare those notions to their discrete-time analogues.

连续时间马尔可夫过程中行为等价的分类
双模拟是捕获过渡系统中状态行为等价的概念。在[Linan Chen, Florence Clerc,和Prakash Panangaden, feller-dynkin过程的双仿真,在:第35届编程语义数学基础会议论文集,理论计算机科学电子笔记347(2019)45-63]。],我们提出了连续时间随机过程双模拟的两个等效定义,其中演化是一个时间流。在本文中,我们进一步发展了这一理论:我们引入了对应于不同行为等价的不同概念,并将它们与双模拟进行了比较。特别地,我们研究了动力学的双模拟与对称群之间的关系。我们还提供了两个行为等价的游戏解释。然后,我们将这些概念与它们的离散时间类似物进行比较。
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来源期刊
Electronic Notes in Theoretical Computer Science
Electronic Notes in Theoretical Computer Science Computer Science-Computer Science (all)
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