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@inproceedings{1675379,
author = {Troják, Matej and Šafránek, David and Mertová, Lukrécia and Brim, Luboš},
address = {Moffett Field, CA, USA},
booktitle = {12th International Symposium on NASA Formal Methods, NFM 2020},
doi = {http://dx.doi.org/10.1007/978-3-030-55754-6_3},
edition = {LNCS 12229},
editor = {Ritchie Lee, Susmit Jha, Anastasia Mavridou},
keywords = {rule-based modelling; probabilistic models; parameter synthesis; robustness analysis},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Moffett Field, CA, USA},
isbn = {978-3-030-55753-9},
pages = {41-59},
publisher = {Springer},
title = {Parameter Synthesis and Robustness Analysis of Rule-Based Models},
url = {https://link.springer.com/chapter/10.1007/978-3-030-55754-6_3},
year = {2020}
}
TY - JOUR
ID - 1675379
AU - Troják, Matej - Šafránek, David - Mertová, Lukrécia - Brim, Luboš
PY - 2020
TI - Parameter Synthesis and Robustness Analysis of Rule-Based Models
PB - Springer
CY - Moffett Field, CA, USA
SN - 9783030557539
KW - rule-based modelling
KW - probabilistic models
KW - parameter synthesis
KW - robustness analysis
UR - https://link.springer.com/chapter/10.1007/978-3-030-55754-6_3
L2 - https://link.springer.com/chapter/10.1007/978-3-030-55754-6_3
N2 - 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.
ER -
TROJÁK, Matej, David ŠAFRÁNEK, Lukrécia MERTOVÁ and Luboš BRIM. Parameter Synthesis and Robustness Analysis of Rule-Based Models. In Ritchie Lee, Susmit Jha, Anastasia Mavridou. \textit{12th International Symposium on NASA Formal Methods, NFM 2020}. LNCS 12229. Moffett Field, CA, USA: Springer, 2020, p.~41-59. ISBN~978-3-030-55753-9. Available from: https://dx.doi.org/10.1007/978-3-030-55754-6\_{}3.
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