In previous articles we have introduced Multi Random Boolean Networks (MRBNs) as a possible model for the interaction among cells within multicellular organisms or within bacteria colonies. MR.BNs are sets of Random Boolean Networks (RBNs), placed on a Cellular Automaton, whose nodes may be affected by the activation of some nodes in neighbouring networks. In this paper we study the effects induced by interaction on the dynamics of those RBNs that - if isolated - lay in the critical region. It is shown that the influence of interaction is not univocal; nevertheless it is possible to identify three classes of representative behaviours. RBNs belonging to each class seem to have different dynamical peculiarities even in isolation: although sharing the parameters proper of critical networks, they substantially differ in their typical response to perturbations.

Damiani, C., Graudenzi, A., Villani, M. (2010). How critical random boolean networks may be affected by the interaction with others. In Artificial Life and Evolutionary Computation (pp.259-269). Singapore : World scientific publ co pte ltd [10.1142/9789814287456_0023].

How critical random boolean networks may be affected by the interaction with others

Damiani, C;Graudenzi, A;
2010

Abstract

In previous articles we have introduced Multi Random Boolean Networks (MRBNs) as a possible model for the interaction among cells within multicellular organisms or within bacteria colonies. MR.BNs are sets of Random Boolean Networks (RBNs), placed on a Cellular Automaton, whose nodes may be affected by the activation of some nodes in neighbouring networks. In this paper we study the effects induced by interaction on the dynamics of those RBNs that - if isolated - lay in the critical region. It is shown that the influence of interaction is not univocal; nevertheless it is possible to identify three classes of representative behaviours. RBNs belonging to each class seem to have different dynamical peculiarities even in isolation: although sharing the parameters proper of critical networks, they substantially differ in their typical response to perturbations.
No
paper
Genetic network model; Random Boolean network; Cellular automaton; Interaction; Cell-criticality
English
Conference of Wivace on Artificial Life and Evolutionary Computation
978-981-4287-44-9
Damiani, C., Graudenzi, A., Villani, M. (2010). How critical random boolean networks may be affected by the interaction with others. In Artificial Life and Evolutionary Computation (pp.259-269). Singapore : World scientific publ co pte ltd [10.1142/9789814287456_0023].
Damiani, C; Graudenzi, A; Villani, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/192003
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