AEON: Attractor Bifurcation Analysis of Parametrised Boolean Networks

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Authors

BENEŠ Nikola BRIM Luboš KADLECAJ Jakub PASTVA Samuel ŠAFRÁNEK David

Year of publication 2020
Type Article in Proceedings
Conference Computer Aided Verification. CAV 2020
MU Faculty or unit

Faculty of Informatics

Citation
web https://doi.org/10.1007/978-3-030-53288-8_28
Doi http://dx.doi.org/10.1007/978-3-030-53288-8_28
Keywords Boolean networks; Attractors; Bifurcation analysis
Description Boolean networks (BNs) provide an effective modelling tool for various phenomena from science and engineering. Any long-term behaviour of a BN eventually converges to a so-called attractor. Depending on various logical parameters, the structure and quality of attractors can undergo a significant change, known as a bifurcation. We present a tool for analysing bifurcations in asynchronous parametrised Boolean networks. To fight the state-space and parameter-space explosion problem the tool uses a parallel semi-symbolic algorithm.
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