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 thi...
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Zusammenfassung: | 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. |
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DOI: | 10.48550/arxiv.2005.14531 |