Noise-Induced Emergent Hierarchies in a CA Model

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.