This paper introduces the notion of noise-induced emergent hierarchies and analyses the influence of the topology of the underlying network on these hierarchies. By developing upon a previous model of cell differentiation based on noisy random Boolean networks, we show that the adoption of a regular topology such that of cellular automata can lead to interesting effects, the most remarkable one being that, ceteris paribus, the resulting hierarchies have a larger number of levels and could therefore describe more structured complex systems. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Villani, M., Serra, R., Benedettini, S., Roli, A., & Lane, D. (2012). Noise-induced emergent hierarchies in a CA model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7495 LNCS, pp. 244–253). Springer Verlag. https://doi.org/10.1007/978-3-642-33350-7_25
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