HOW CRITICAL RANDOM BOOLEAN NETWORKS MAY BE AFFECTED BY THE INTERACTION WITH OTHERS

被引:3
|
作者
Damiani, C. [1 ]
Graudenzi, A. [1 ]
Villani, M. [1 ]
机构
[1] Modena & Reggio Emilia Univ, Dept Social Cognit & Quantitat Sci, I-2100 Reggio Emilia, Italy
关键词
Genetic network model; Random Boolean network; Cellular automaton; Interaction; Cell-criticality;
D O I
10.1142/9789814287456_0023
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:259 / 269
页数:11
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