Publication details

Parameter Synthesis and Robustness Analysis of Rule-Based Models

Authors

TROJÁK Matej ŠAFRÁNEK David MERTOVÁ Lukrécia BRIM Luboš

Year of publication 2020
Type Article in Proceedings
Conference NASA Formal Methods
MU Faculty or unit

Faculty of Informatics

Citation
Web 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
Keywords rule-based modelling; probabilistic models; parameter synthesis; robustness analysis
Description 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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