Compositionality of Approximate Bisimulation for Probabilistic Systems
Daniel Gebler (Department of Computer Science, VU University, Amsterdam), Simone Tini (Department of Scienza e Alta Tecnologia, University, of Insubria)

TL;DR
This paper develops a method to quantify and ensure compositionality of approximate bisimulation in probabilistic systems, making the semantics more robust to implementation errors.
Contribution
It introduces a general approach to measure how process combinators affect approximate bisimulation distance and derives rule formats for compositionality.
Findings
Provides a method to quantify the expansion of approximate bisimulation distance.
Derives rule formats guaranteeing compositionality for approximate bisimilarity.
Addresses non-standard compositionality requirements in probabilistic process specifications.
Abstract
Probabilistic transition system specifications using the rule format ntmuft-ntmuxt provide structural operational semantics for Segala-type systems and guarantee that probabilistic bisimilarity is a congruence. Probabilistic bisimilarity is for many applications too sensitive to the exact probabilities of transitions. Approximate bisimulation provides a robust semantics that is stable with respect to implementation and measurement errors of probabilistic behavior. We provide a general method to quantify how much a process combinator expands the approximate bisimulation distance. As a direct application we derive an appropriate rule format that guarantees compositionality with respect to approximate bisimilarity. Moreover, we describe how specification formats for non-standard compositionality requirements may be derived.
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