Probabilistic Cellular Automata : Theory, Applications and Future Perspectives /

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...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Louis, Pierre-Yves (Editor), Nardi, Francesca R. (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2018.
Series:	Emergence, complexity and computation. 27.
Subjects:	Distribution (Probability theory) Engineering. Statistics. Biology > Data processing. Computer science. Probability Theory and Stochastic Processes. Complexity. Mathematical and Computational Biology. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. Computer Appl. in Life Sciences. Probability and Statistics in Computer Science. Electronic books.
Online Access:	Connect to the full text of this electronic book