Abstract Systems that exhibit complex behaviours are often found in a particular dynamical
condition, poised between order and disorder. This observation is at the core of the so …

The hypothesis that many living systems should exhibit near-critical behavior is well
motivated theoretically, and an increasing number of cases have been demonstrated …

We present new applications of parity inversion and time reversal to the emergence of
complex behavior from simple dynamical rules in stochastic discrete models. Our parity …

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 …

Boolean networks are a notable model of gene regulatory networks and, particularly,
prominent theories discuss how they can capture cellular differentiation processes. One …

The identification of critical states is a major task in complex systems, and the availability of
measures to detect such conditions is of utmost importance. In general, criticality refers to the …

Random Boolean Networks (RBNs for short) are strongly simplified models of gene
regulatory networks (GRNs), which have also been widely studied as abstract models of …

The identification of emergent structures in complex dynamical systems is a formidable
challenge. We propose a computationally efficient methodology to address such a …

A major limitation of the classical random Boolean network model of gene regulatory
networks is its synchronous updating, which implies that all the proteins decay at the same …