Title
Domain theory, testing and simulation for labelled Markov processes
Abstract
This paper presents a fundamental study of similarity and bisimilarity for labelled Markov processes (LMPs). The main results characterize similarity as a testing preorder and bisimilarity as a testing equivalence. In general, LMPs are not required to satisfy a finite-branching condition--indeed the state space may be a continuum, with the transitions given by arbitrary probability measures. Nevertheless we show that to characterize bisimilarity it suffices to use finitely-branching labelled trees as tests.Our results involve an interaction between domain theory and measure theory. One of the main technical contributions is to show that a final object in a suitable category of LMPs can be constructed by solving a domain equation D ≃V(D)Act, where V is the probabilistic powerdomain. Given an LMP whose state space is an analytic space, bisimilarity arises as the kernel of the unique map to the final LMP. We also show that the metric for approximate bisimilarity introduced by Desharnais, Gupta, Jagadeesan and Panangaden generates the Lawson topology on the domain D.
Year
DOI
Venue
2005
10.1016/j.tcs.2004.10.021
Theor. Comput. Sci.
Keywords
DocType
Volume
labelled Markov,domain theory,analytic space,domain D,labelled tree,state space,domain equation D,approximate bisimilarity,final object,final LMP
Journal
333
Issue
ISSN
Citations 
1-2
Theoretical Computer Science
20
PageRank 
References 
Authors
1.02
16
4
Name
Order
Citations
PageRank
Franck van Breugel152335.17
Michael Mislove2968.78
Joël Ouaknine3148199.25
James Worrell419610.96