2001
DOI: 10.1007/3-540-45319-9_15
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Abstraction in Probabilistic Process Algebra

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Cited by 19 publications
(42 citation statements)
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“…To overcome this problem, we take some inspiration from Andova and Baeten [26], and consider a state to be a representation of the distribution that is obtained by fusing distributions reachable by internal transition, as long as there is no non-determinism. In the example above, this would remove our problems, since we would then consider v ′ to represent the distribution (E,…”
Section: Weak Bisimilaritymentioning
confidence: 99%
“…To overcome this problem, we take some inspiration from Andova and Baeten [26], and consider a state to be a representation of the distribution that is obtained by fusing distributions reachable by internal transition, as long as there is no non-determinism. In the example above, this would remove our problems, since we would then consider v ′ to represent the distribution (E,…”
Section: Weak Bisimilaritymentioning
confidence: 99%
“…It is more general than earlier formats [LT05,LT09] which consider transitions of the form t a,q − −− → t ′ modeling that term t reaches through action a the term t ′ with probability q. The probabilistic GSOS format allows us to specify probabilistic nondeterministic process algebras, such as probabilistic CCS [JLY01, Bar04,DD07], probabilistic CSP [JLY01, Bar04, DvGH + 07, DL12] and probabilistic ACP [And99,And02].…”
Section: Pgsos Specificationsmentioning
confidence: 99%
“…Probabilistic process algebras, such as probabilistic CCS [JLY01, Bar04,DD07], CSP [JLY01, Bar04, DvGH + 07, DL12] and ACP [And99,And02], are languages that are employed to describe probabilistic concurrent communicating systems, or probabilistic processes for short. Nondeterministic probabilistic transition systems [Seg95] combine labeled transition systems [Kel76] and discrete time Markov chains [Ste94,HJ94].…”
Section: Introductionmentioning
confidence: 99%
“…The last decade has witnessed increasing interest in the area of formal methods for the specification and analysis of probabilistic systems [11,3,15,6]. In [16] van Glabbeek et al classified probabilistic models into reactive, generative and stratified.…”
Section: Introductionmentioning
confidence: 99%
“…However, in each of the systems either weak bisimulation is not investigated [4,2] or nondeterministic choice is prohibited [4,3].…”
Section: Introductionmentioning
confidence: 99%