Springer Probabilistic Cellular Automata - Theory and Applications

Explore the complex world of Probabilistic Cellular Automata (PCA) with this comprehensive volume from Springer. As part of the Emergence, Complexity and Computation series, this book examines PCA through multiple lenses, including statistical mechanics, probability theory, computational biology, and computer science. Unlike standard cellular automata models, PCA utilize random updating rules. This probabilistic component provides flexible tools for complex numerical constructions and offers realistic simulation capabilities for phenomena driven by interactions among large numbers of neighboring structures. Whether you are researching pure probability or applying these models to computational fields, this text provides the necessary theoretical foundation and practical perspectives on how these systems function in various scientific disciplines.