2005
DOI: 10.1137/s009753970444346x
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Stochastic Relations: Congruences, Bisimulations and the Hennessy--Milner Theorem

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Cited by 27 publications
(50 citation statements)
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“…There has been recent interest [ED06] in modal logic for systems associated with the subcategory of Meas comprising the analytic spaces, those that are continuous images of Polish spaces. The functor ∆ is replaced by the subprobability functor S, where SX is the space of measures on X having µ(X) 1.…”
Section: Conclusion and Further Questionsmentioning
confidence: 99%
“…There has been recent interest [ED06] in modal logic for systems associated with the subcategory of Meas comprising the analytic spaces, those that are continuous images of Polish spaces. The functor ∆ is replaced by the subprobability functor S, where SX is the space of measures on X having µ(X) 1.…”
Section: Conclusion and Further Questionsmentioning
confidence: 99%
“…While usually computational aspects appear as the foremost concern in these investigations, it becomes evident both from [3] and from the present work that structural properties need to be looked at for their own interest, and from the understanding gained there a deeper understanding of the applications arises [2,4,5]. It may be helpful to continue with this programme from both points of view.…”
Section: Resultsmentioning
confidence: 81%
“…Smooth relations are a helpful tool for the theory of Borel sets [8], for the theory of stochastic relations [5], and, indirectly, for the theory of labelled Markov transition systems [2,4].…”
Section: Definition 1 An Equivalence Relationmentioning
confidence: 99%
See 1 more Smart Citation
“…Investigating equivalent behavior of stochastic Kripke models for modal logics or their close cousins like the tree logics used for model checking usually follows this pattern: the state space is partitioned into states that satisfy exactly the same formulas, the existence of a bisimulation, behavioral equivalence or identification of a minimal set of formulas to test against then follows from an investigation of this equivalence relation, exploiting characteristic properties that are handed down from the logic, see [18,1,6,24,9,10]. A stochastic Kripke model is usually based on a coalgebra, and the analysis of the behavior may usually be reduced to an investigation of congruence properties for this coalgebra.…”
Section: Introductionmentioning
confidence: 99%