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Article
A Random Boolean Network Model and Deterministic Chaos
Physical Review E
  • Mihaela Teodora Matache, University of Nebraska at Omaha
  • Jack Heidel, University of Nebraska at Omaha
Document Type
Article
Publication Date
5-1-2004
Disciplines
Abstract

This paper considers a simple Boolean network with N nodes, each node’s state at time t being determined by a certain number of parent nodes, which may vary from one node to another. This is an extension of a model studied by Andrecut and Ali ( [5]) who consider the same number of parents for all nodes. We make use of the same Boolean rule as the authors of [5], provide a generalization of the formula for the probability of finding a node in state 1 at a time t and use simulation methods to generate consecutive states of the network for both the real system and the model. The results match well. We study the dynamics of the model through sensitivity of the orbits to initial values, bifurcation diagrams, and fixed point analysis. We show that the route to chaos is due to a cascade of period-doubling bifurcations which turn into reversed (period - halving) bifurcations for certain combinations of parameter values.

Comments

This article was originally published here: http://journals.aps.org/pre/abstract/10.1103/PhysRevE.69.056214.

Citation Information
Mihaela Teodora Matache and Jack Heidel. "A Random Boolean Network Model and Deterministic Chaos" Physical Review E Vol. 69 (2004)
Available at: http://works.bepress.com/mihaela-velcsov/7/