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: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Emergence, Complexity and Computation, 27
Subjects:
Probabilities.
Dynamics.
Nonlinear theories.
Biomathematics.
Statistics .
Bioinformatics.
Computer science > Mathematics.
Mathematical statistics.
Probability Theory.
Applied Dynamical Systems.
Mathematical and Computational Biology.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Computational and Systems Biology.
Probability and Statistics in Computer Science.
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