Informace o publikaci

Parameter Synthesis and Robustness Analysis of Rule-Based Models

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TROJÁK Matej ŠAFRÁNEK David MERTOVÁ Lukrécia BRIM Luboš

Rok publikování 2020
Druh Článek ve sborníku
Konference 12th International Symposium on NASA Formal Methods, NFM 2020
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www https://link.springer.com/chapter/10.1007/978-3-030-55754-6_3
Doi http://dx.doi.org/10.1007/978-3-030-55754-6_3
Klíčová slova rule-based modelling; probabilistic models; parameter synthesis; robustness analysis
Popis We introduce the Quantitative Biochemical Space Language, a rule-based language for a compact modelling of probabilistic behaviour of complex parameter-dependent biological systems. Application of rules is governed by an associated parametrised rate function, expressing partially known information about the behaviour of the modelled system. The parameter values influence the behaviour of the model. We propose a formal verification-based method for the synthesis of parameter values (parameter synthesis) which ensure the behaviour of the modelled system satisfies a given PCTL property. In addition, we demonstrate how this method can be used for robustness analysis.
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