Probabilistic Cellular Automata

Name: Probabilistic Cellular Automata
Brand: Springer International Publishing AG
SKU: 9783319655567
Price: 157.99 EUR
Availability: InStock

Автор: Pierre-Yves Louis, Francesca R. Nardi

Език:

Корици: С твърди корици

Издател: Springer International Publishing AG

Наличност: Външен склад

Изпращаме след 10-13 дни

157.99 € 309.01 лв

This book explores Probabilistic Cellular Automata (PCA) from the perspectives of statistical mechan...

Информация за книгата

Автор

Pierre-Yves Louis, Francesca R. Nardi

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2018

страници

344

EAN

9783319655567

ISBN

3319655566

Enbook ID

16730537

Издател

Springer International Publishing AG

Теглоt

6682

Размери

155 x 235 x 25

Пълно описание

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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