一种判别双相似度的准局部算法

Wenjie Du, Yuxin Deng
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引用次数: 2

摘要

双相似性是并发理论中比较形式系统行为的最重要的关系之一。有限状态系统的双相似度决策算法通常分为两类:全局算法通常是有效的,但需要提前生成整个状态空间;局部算法将系统行为的验证与系统状态空间的生成结合起来,通常更有效地确定一个系统与另一个系统不相关。本文提出了一种最坏情况下时间复杂度为O(m1m2)的拟局部算法,其中m1和m2为两个标记转移系统中的转移数。通过适当的修改,该算法可以很容易地适应在相同时间复杂度下确定相似度的问题。对于确定性系统,算法可以简化,运行时间为O(min(m1,m2))。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A quasi-local algorithm for checking bisimilarity
Bisimilarity is one of the most important relations for comparing the behaviour of formal systems in concurrency theory. Decision algorithms for bisimilarity in finite state systems are usually classified into two kinds: global algorithms are generally efficient but require to generate the whole state spaces in advance, local algorithms combine the verification of a system's behaviour with the generation of the system's state space, which is often more effective to determine that one system fails to be related to another. In this paper we propose a quasi-local algorithm with worst case time complexity O(m1m2), where m1 and m2 are the numbers of transitions in two labelled transition systems. With mild modifications, the algorithm can be easily adapted to decide similarity with the same time complexity. For deterministic systems, the algorithm can be simplified and runs in time O(min(m1,m2)).
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