Deciphering the influence of the interaction among the constituents of a complex system on the overall behaviour is one of the main goals of complex systems science. The model we present in this work is a 2D square cellular automaton whose of each cell is occupied by a complete random Boolean network. Random Boolean networks are a well-known simplified model of genetic regulatory networks and this model of interacting RBNs may be therefore regarded as a simplified model of a tissue or a monoclonal colony. The mechanism of cell-to-cell interaction is here simulated letting some nodes of a particular network being influenced by the state of some nodes belonging to its neighbouring cells. One possible means to investigate the overall dynamics of a complex system is studying its response to perturbations. Our analyses follow this methodological approach. Even though the dynamics of the system is far from trivial we could show in a clear way how the interaction affects the dynamics and the global degree of order. © 2008 Springer-Verlag Berlin Heidelberg.

Serra, R., Villani, M., Damiani, C., Graudenzi, A., Colacci, A. (2008). The diffusion of perturbations in a model of coupled random boolean networks. In Cellular Automata. (pp.315-322) [10.1007/978-3-540-79992-4_40].

The diffusion of perturbations in a model of coupled random boolean networks

Damiani, C;Graudenzi, A;
2008

Abstract

Deciphering the influence of the interaction among the constituents of a complex system on the overall behaviour is one of the main goals of complex systems science. The model we present in this work is a 2D square cellular automaton whose of each cell is occupied by a complete random Boolean network. Random Boolean networks are a well-known simplified model of genetic regulatory networks and this model of interacting RBNs may be therefore regarded as a simplified model of a tissue or a monoclonal colony. The mechanism of cell-to-cell interaction is here simulated letting some nodes of a particular network being influenced by the state of some nodes belonging to its neighbouring cells. One possible means to investigate the overall dynamics of a complex system is studying its response to perturbations. Our analyses follow this methodological approach. Even though the dynamics of the system is far from trivial we could show in a clear way how the interaction affects the dynamics and the global degree of order. © 2008 Springer-Verlag Berlin Heidelberg.
No
slide + paper
Cell-criticality; Cellular automaton; Genetic network model; Interaction; Random Boolean network; Theoretical Computer Science; Computer Science (all)
English
8th International Conference on Cellular Automata for Research and Industry, ACRI 2008
Serra, R., Villani, M., Damiani, C., Graudenzi, A., Colacci, A. (2008). The diffusion of perturbations in a model of coupled random boolean networks. In Cellular Automata. (pp.315-322) [10.1007/978-3-540-79992-4_40].
Serra, R; Villani, M; Damiani, C; Graudenzi, A; Colacci, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/186550
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