## Deciding Bisimilarity and Similarity for Probabilistic Processes (2000)

Citations: | 25 - 4 self |

### BibTeX

@MISC{Baier00decidingbisimilarity,

author = {Christel Baier and Bettina Engelen and Mila Majster-Cederbaum},

title = {Deciding Bisimilarity and Similarity for Probabilistic Processes},

year = {2000}

}

### Years of Citing Articles

### OpenURL

### Abstract

This paper deals with probabilistic and nondeterministic processes represented by a variant of labelled transition systems where any outgoing transition of a state s is augmented with probabilities for the possible successor states. Our main contribution are algorithms for computing the bisimulation equivalence classes as introduced by Larsen & Skou [44] and the simulation preorder `a la Segala & Lynch [57]. The algorithm for deciding bisimilarity is based on a variant of the traditional partitioning technique [43, 51] and runs in time O(mn(log m+ log n)) where m is the number of transitions and n the number of states. The main idea for computing the simulation preorder is the reduction to maximum flow problems in suitable networks. Using the method of Cheriyan, Hagerup & Mehlhorn [15] for computing the maximum flow, the algorithm runs in time O((mn 6 +m 2 n 3 )= log n). Moreover, we show that the network-based technique is also applicable to compute the simulation-like relation...