Probabilistic cellular automata: theory, applications and future perspectives - Volume 27

This volume explores Probabilistic Cellular Automata (PCA) from the perspectives of statistical mechanics, probability theory, computational biology and computer science.

PCA are extensions of the well-known Cellular Automata models of complex systems, characterised by random updating rules.

Thanks to their probabilistic component, PCA offer flexible computing tools for complex numerical constructions, and realistic simulation tools for phenomena driven by interactions among a large number of neighbouring structures.