Boolean network models are one of the simplest models to study complex dynamic behavior
in biological systems. They can be applied to unravel the mechanisms regulating the …

For millennia people have wondered what makes the living different from the non-living.
Beginning in the mid-1980s, artificial life has studied living systems using a synthetic …

The availability of large data sets has allowed researchers to uncover complex properties
such as large-scale fluctuations and heterogeneities in many networks, leading to the …

This book is, of course about complexity. The title of the book, as you may recognize was
motivated (excuse me for using this very mild expression) by Daniel Dennett's …

The dynamics of Boolean networks with scale-free topology are studied. The existence of a
phase transition from ordered to chaotic dynamics, governed by the value of the scale-free …

Abstract Concepts used in the scientific study of complex systems have become so
widespread that their use and abuse has led to ambiguity and confusion in their meaning. In …

The coordinated expression of the different genes in an organism is essential to sustain
functionality under the random external perturbations to which the organism might be …

The Kauffman model describes a particularly simple class of random Boolean networks.
Despite the simplicity of the model, it exhibits complex behavior and has been suggested as …

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

In recent decades, the scientific study of complex systems (Bar-Yam 1997; Mitchell 2009)
has demanded a paradigm shift in our worldviews (Gershenson et al. 2007; Heylighen et al …