" Control of Complex Systems: Structural Constraints and Uncertainty" focuses on control
design under information structure constraints, with a particular emphasis on large-scale …

A well‐known hypothesis, with far‐reaching implications, is that biological evolution should
preferentially lead to states that are dynamically critical. In previous papers, we showed that …

It took quite a long time to complete this book. More than 20 years had elapsed since I wrote
my last volume as an author, not just as an editor. And I felt it important to find again the …

Despite myriads of possible gene expression profiles, cells tend to be found in a confined
number of expression patterns. The dynamics of Boolean models of gene regulatory …

This volume collects the papers selected for presentation at the 9th International Conference
on Cellular Automata for Research and Industry (ACRI 2010), held in Ascoli Piceno (Italy) …

Abstract Random Boolean networks (RBNs) have been a popular model of genetic
regulatory networks for more than four decades. However, most RBN studies have been …

The tissues of multicellular organisms are made of differentiated cells arranged in organized
patterns. This organization emerges during development from the coupling of dynamic intra …

Random boolean networks are a model of genetic regulatory networks that has proven able
to describe experimental data in biology. Random boolean networks not only reproduce …

Abstract Information processing and information flow occur at many levels in the course of
an organism's development and throughout its lifespan. Biological networks inside cells …

Increasing experimental evidence suggests that the behaviour of multi-cellular systems,
such as tissues and organs, might be largely driven by the complex interplay occurring …