AEON: Attractor Bifurcation Analysis of Parametrised Boolean Networks
Nikola Beneš, Luboš Brim, Jakub Kadlecaj, Samuel Pastva, David Šafránek
Abstract
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.
Topics & Concepts
AttractorComputer scienceBoolean functionAsynchronous communicationState spaceBifurcationBoolean networkBoolean data typeAnd-inverter graphTheoretical computer scienceSpace (punctuation)Parameter spaceAlgorithmBoolean circuitMathematicsNonlinear systemPhysicsMathematical analysisQuantum mechanicsOperating systemComputer networkStatisticsGene Regulatory Network AnalysisFormal Methods in VerificationProtein Structure and Dynamics