Overview
- Editors:
-
-
Jiri Kroc
-
Stahlavy, Czech Republic
-
Peter M.A. Sloot
-
Fac. Science, Informatics Institute, Universiteit Amsterdam, Amsterdam, Netherlands
-
Alfons G. Hoekstra
-
, Computational Science Faculty, University of Amsterdam, Amsterdam, Netherlands
- A well balance and up-to-date introduction to both foundations and applications
- Edited and authored by leading researchers in the field
- Excellent starting point for own research for newcomers to the field
- Includes supplementary material: sn.pub/extras
Access this book
Other ways to access
About this book
Deeply rooted in fundamental research in Mathematics and Computer Science, Cellular Automata (CA) are recognized as an intuitive modeling paradigm for Complex Systems. Already very basic CA, with extremely simple micro dynamics such as the Game of Life, show an almost endless display of complex emergent behavior. Conversely, CA can also be designed to produce a desired emergent behavior, using either theoretical methodologies or evolutionary techniques. Meanwhile, beyond the original realm of applications - Physics, Computer Science, and Mathematics – CA have also become work horses in very different disciplines such as epidemiology, immunology, sociology, and finance.
In this context of fast and impressive progress, spurred further by the enormous attraction these topics have on students, this book emerges as a welcome overview of the field for its practitioners, as well as a good starting point for detailed study on the graduate and post-graduate level.
The book contains three parts, two major parts on theory and applications, and a smaller part on software. The theory part contains fundamental chapters on how to design and/or apply CA for many different areas. In the applications part a number of representative examples of really using CA in a broad range of disciplines is provided - this part will give the reader a good idea of the real strength of this kind of modeling as well as the incentive to apply CA in their own field of study. Finally, we included a smaller section on software, to highlight the important work that has been done to create high quality problem solving environments that allow to quickly and relatively easily implement a CA model and run simulations, both on the desktop and if needed, on High Performance Computing infrastructures.
Similar content being viewed by others
Table of contents (15 chapters)
-
-
Theory of Cellular Automata
-
-
Introduction to Modeling of Complex Systems Using Cellular Automata
-
- Alfons G. Hoekstra, Jiří Kroc, Peter M.A. Sloot
Pages 1-16
-
Theory of Cellular Automata
-
-
-
- Alfons G. Hoekstra, Alfonso Caiazzo, Eric Lorenz, Jean-Luc Falcone, Bastien Chopard
Pages 29-57
-
-
-
-
- Andrew Adamatzky, Martin Grube
Pages 145-165
-
-
- Zhijian Pan, James A. Reggia
Pages 193-216
-
Applications of Cellular Automata
-
Front Matter
Pages 217-217
-
-
- Halim Kusumaatmaja, Julia M. Yeomans
Pages 241-274
-
- Debashish Chowdhury, Katsuhiro Nishinari, Andreas Schadschneider
Pages 275-300
-
- Haralambos Hatzikirou, Andreas Deutsch
Pages 301-331
-
- Zafer Gürdal, Ramzi Zakhama
Pages 333-353
-
Cellular Automata Software
-
Front Matter
Pages 355-355
-
- Domenico Talia, Lev Naumov
Pages 357-384
Editors and Affiliations
-
Stahlavy, Czech Republic
Jiri Kroc
-
Fac. Science, Informatics Institute, Universiteit Amsterdam, Amsterdam, Netherlands
Peter M.A. Sloot
-
, Computational Science Faculty, University of Amsterdam, Amsterdam, Netherlands
Alfons G. Hoekstra