This review addresses recent developments in non-equilibrium statistical physics. Focusing
on phase transitions from fluctuating phases into absorbing states, the universality class of …

A new order parameter approximation to random boolean networks (RBN) is introduced,
based on the concept of Boolean derivative. A statistical argument involving an annealed …

Cellular automata (CAs) are fully-discrete dynamical models that have received much
attention due to the fact that their relatively simple setup can nonetheless express highly …

Percolation, in its most general interpretation, refers to the “flow” of something (a physical
agent, data or information) in a network, possibly accompanied by some nonlinear …

We present a probabilistic cellular automaton with two absorbing states, which can be
considered a natural extension of the Domany-Kinzel model. Despite its simplicity, it shows …

The study of damage spreading in cellular automata (CA) is essential for understanding
chaos and phase transitions in CA and complex systems in general. It helps us make sense …

We study analytically M-spin-flip stable states in disordered short-ranged Ising models (spin
glasses and ferromagnets) in all dimensions and for all M. Our approach is primarily …

We consider nonequilibrium systems such as the Edwards–Anderson Ising spin glass at a
temperature where, in equilibrium, there are presumed to be (two or many) broken-symmetry …

In many cases, tainted information in a computer network can spread in a way similar to an
epidemics in the human world. On the other had, information processing paths are often …

Probabilistic cellular automata are prototypes of nonequilibrium critical phenomena. This
class of models includes among others the directed percolation problem (Domany-Kinzel …