2009
DOI: 10.1007/978-3-642-03429-9_17
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A Coalgebraic Characterization of Behaviours in the Linear Time – Branching Time Spectrum

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Cited by 7 publications
(5 citation statements)
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“…For commutative effect monads M , another way of extending Turi and Plotkin's framework may be to lift both syntax and behaviour functors into the Kleisli category Kl(M ) and use it as the base category (rather than splitting the approach as we have done). An application might be trace semantics for CCS-like languages, as in [13].…”
Section: Resultsmentioning
confidence: 99%
“…For commutative effect monads M , another way of extending Turi and Plotkin's framework may be to lift both syntax and behaviour functors into the Kleisli category Kl(M ) and use it as the base category (rather than splitting the approach as we have done). An application might be trace semantics for CCS-like languages, as in [13].…”
Section: Resultsmentioning
confidence: 99%
“…The approach in (Monteiro 2008) is based on an abstract notion of "behaviour object" that has similar properties with final objects. It is not clear, however, how this approach could be modularly extended so to treat probabilistic decorated traces.…”
Section: Discussionmentioning
confidence: 99%
“…A coalgebraic characterization of the spectrum, not based on the powerset construction, was attempted in Monteiro (2008). The approach in Monteiro (2008) is based on an abstract notion of 'behaviour object' that has similar properties with final objects. It is not clear, however, how this approach could be modularly extended so to treat probabilistic decorated traces.…”
Section: Discussionmentioning
confidence: 99%
“…In [35], it is shown a coalgebraic characterization of traces semantics (for LTS's) employing Kleisli categories. More recently, [33] have provided a characterization of trace, failure and ready semantics by mean of "behaviour objects". Another coalgebraic approach [26] relies on "test-suite" that, intuitively, are fragments of Hennessy-Milner logic.…”
Section: Beyond Bisimilarity and Tracesmentioning
confidence: 99%