Probabilistic Cellular Automata Theory, Applications and Future Perspectives /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Louis, Pierre-Yves (Editor, http://id.loc.gov/vocabulary/relators/edt), Nardi, Francesca R. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Emergence, Complexity and Computation, 27
• Subjects: Probabilities.; Computational complexity.; Biomathematics.; Statistics .; Bioinformatics .; Computational biology .; Mathematical statistics.; 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.

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...