Advanced Topics in Bisimulation and Coinduction 2011
DOI: 10.1017/cbo9780511792588.004
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The algorithmics of bisimilarity

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Cited by 20 publications
(33 citation statements)
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“…The corresponding minimisation problem for deterministic automata is solved by means of the equality of the languages recognised from the states. Other known algorithms are available to identify bisimilarity and so to construct this image into the final automaton, like state partition algorithms (see, for instance, [1]). …”
Section: Discussion and Future Workmentioning
confidence: 99%
“…The corresponding minimisation problem for deterministic automata is solved by means of the equality of the languages recognised from the states. Other known algorithms are available to identify bisimilarity and so to construct this image into the final automaton, like state partition algorithms (see, for instance, [1]). …”
Section: Discussion and Future Workmentioning
confidence: 99%
“…In this case, D A final remark is about the computational complexity of the discovery algorithm. Determining is EXPTIME-complete in the size of the contracts [1], which has to be multiplied by the number of -checks (to find a compliant service in the repository) to obtain the overall cost.…”
Section: Service Discovery and Dual Contractsmentioning
confidence: 99%
“…Following [16] the reduction of the problem of deciding ≈ sb to the problem of deciding ∼ sb is obtained by adding some additional transitions, so called weak transitions, to the LTS. Given two configurations γ and γ , the first step is to build G = LTS −→ (IS) where IS = {γ , γ }.…”
Section: Weak Equivalencementioning
confidence: 99%
“…Usually weak bisimilarity is computed by first closing the transition relation with respect to internal transitions and then by checking strong bisimilarity on the obtained LTS. In [7], this approach (which is referred in [16] as saturation) is proven to be unsound for CCP (see [7]). It is also shown that in order to obtain a sound algorithm, one has to close the transition relation, not only w.r.t.…”
mentioning
confidence: 99%