Random Boolean networks are a widely acknowledged model for cell dynamics. Previous studies have shown the possibility of achieving Boolean networks with given characteristics by means of evolutionary techniques. In this work we make a further step towards more biologically plausible models by aiming at evolving networks with a given fraction of active nodes along the attractors, while constraining the evolutionary process to move across critical networks. Results show that this path along criticality does not impede to climb the mount of improbable, yet biologically realistic requirements.
Evolving critical boolean networks / Magri, S.; Villani, M.; Roli, A.; Serra, R.. - 900:(2019), pp. 17-29. (Intervento presentato al convegno 13th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2018 tenutosi a ita nel 2018) [10.1007/978-3-030-21733-4_2].
Evolving critical boolean networks
Villani M.;Serra R.
2019
Abstract
Random Boolean networks are a widely acknowledged model for cell dynamics. Previous studies have shown the possibility of achieving Boolean networks with given characteristics by means of evolutionary techniques. In this work we make a further step towards more biologically plausible models by aiming at evolving networks with a given fraction of active nodes along the attractors, while constraining the evolutionary process to move across critical networks. Results show that this path along criticality does not impede to climb the mount of improbable, yet biologically realistic requirements.
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