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Probabilistic Cellular Automata

Theory, Applications and Future Perspectives

Francesca R. Nardi (Hrsg.), Pierre-Yves Louis (Hrsg.)

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ca. 149,79
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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Beschreibung

This book 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, characterized 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 neighboring structures. PCA are currently being used in various fields, ranging from pure probability to the social sciences and including a wealth of scientific and technological applications. This situation has produced a highly diversified pool of theoreticians, developers and practitioners whose interaction is highly desirable but can be hampered by differences in jargon and focus. This book – just as the workshop on which it is based – is an attempt to overcome these difference and foster interest among newcomers and interaction between practitioners from different fields. It is not intended as a treatise, but rather as a gentle introduction to the role and relevance of PCA technology, illustrated with a number of applications in probability, statistical mechanics, computer science, the natural sciences and dynamical systems. As such, it will be of interest to students and non-specialists looking to enter the field and to explore its challenges and open issues.

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Schlagwörter

bootstrap percolation, equilibrium and non-equilibrium statistical mechanics, agent-based modelling, synchronous/asynchronous updating, reaction-diffusion, finite range and mean field interactions, density classiffication, decentralised computational systems, dynamical systems, complex systems, emergence of collective behaviour, complexity, crisis propagation, self-organisation, metastability, resilience to asynchronism, multiscale models, phase transition, individual-based stochastic models, high-dimensional interacting stochastic systems