Parameter Synthesis and Robustness Analysis of Rule-Based Models
| Autoři | |
|---|---|
| Rok publikování | 2020 |
| Druh | Článek ve sborníku |
| Konference | 12th International Symposium on NASA Formal Methods, NFM 2020 |
| Fakulta / Pracoviště MU | |
| Citace | TROJÁK, Matej, David ŠAFRÁNEK, Lukrécia MERTOVÁ a Luboš BRIM. Parameter Synthesis and Robustness Analysis of Rule-Based Models. In Ritchie Lee, Susmit Jha, Anastasia Mavridou. 12th International Symposium on NASA Formal Methods, NFM 2020. LNCS 12229. Moffett Field, CA, USA: Springer, 2020, s. 41-59. ISBN 978-3-030-55753-9. Dostupné z: https://dx.doi.org/10.1007/978-3-030-55754-6_3. |
| 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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