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Solvable Cellular Automata Methods and Applications

Title
Solvable Cellular Automata [electronic resource] : Methods and Applications / by Henryk Fukś.
ISBN
9783031387005
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
1 online resource (XIX, 296 p.) 41 illus., 28 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
The main focus of the book is solvability of cellular automata, that is, expressing the state of a given cell after a given number of steps by an explicit formula. The author considers solutions of two types of initial value problems for cellular automata, the deterministic one and the probabilistic one. In the first chapter the basic concepts of cellular automata theory are introduced. Deterministic initial value problem is introduced next and solutions for selected simple rules are also presented. In the following chapters various techniques for solving the deterministic problem are introduced, using elementary CA rules of increasing complexity as examples. The second part of the book introduces the concept of probability measure in the context of cellular automata and the probabilistic initial value problem for both deterministic and probabilistic rules. The book is amply illustrated with examples and applications such as the density classification problem, phase transitions in traffic models or the diffusion of innovations model. In the appendix, solution formulae (both deterministic and probabilistic) for over 60 elementary cellular automata rules are listed. Ruelle-Frobenius-Perron equations for all 88 minimal elementary cellular automata are also provided. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
November 02, 2023
Series
Understanding Complex Systems,
Understanding Complex Systems,
Contents
Deterministic cellular automata
Deterministic initial value problem
Multiplicative and additive rules
More complex rules
Exploiting rule identities
Rules with additive invariants
Construction of probability measures
Probabilistic solutions
Probabilistic cellular automata
Applications
Local structure approximation
Non-solvable rules
Appendices.
Also listed under
SpringerLink (Online service)
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