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Paper detail

Optimising attractor computation in Boolean automata networks

This paper details a method for optimising the size of Boolean automata networks in order to compute their attractors under the parallel update schedule. This method relies on the formalism of modules introduced recently that allows for (de)composing such networks. We discuss the practicality of this method by exploring examples. We also propose results that nail the complexity of most parts of the process, while the complexity of one part of the problem is left open.

preprint2020arXivOpen access
Kévin PerrotPacôme PerrotinSylvain Sené
Logic in Computer ScienceDiscrete Mathematics
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Kévin PerrotPacôme PerrotinSylvain Sené

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