A Sound Up-to- n, δ Bisimilarity for PCTL

Bartoletti M.;
2022-01-01

Abstract

We tackle the problem of establishing the soundness of approximate bisimilarity with respect to PCTL and its relaxed semantics. To this purpose, we consider a notion of bisimilarity similar to the one introduced by Desharnais, Laviolette, and Tracol, which is parametric with respect to an approximation error δ, and to the depth n of the observation along traces. Essentially, our soundness theorem establishes that, when a state q satisfies a given formula up-to error δ and steps n, and q is bisimilar to q′ up-to error δ′ and enough steps, we prove that q′ also satisfies the formula up-to a suitable error δ′ ′ and steps n. The new error δ′ ′ is computed from δ, δ′ and the formula, and only depends linearly on n. We provide a detailed overview of our soundness proof.
2022
Inglese
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
978-3-031-08145-3
978-3-031-08143-9
Springer Science and Business Media Deutschland GmbH
13271
35
52
18
https://link.springer.com/chapter/10.1007/978-3-031-08143-9_3
24th IFIP WG 6.1 International Conference on Coordination Models and Languages, COORDINATION 2022 Held as Part of the 17th International Federated Conference on Distributed Computing Techniques, DisCoTec 2022
Comitato scientifico
2022
ita
scientifica
Approximate bisimulation
PCTL
Probabilistic processes
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Bartoletti, M.; Murgia, M.; Zunino, R.
273
3
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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