## Simulating Complex Systems by Cellular AutomataDeeply 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. |

### What people are saying - Write a review

User Review - Flag as inappropriate

Good book but not possible for me to buy. Cost is too high for me.

### Contents

1 | |

Part I Theory of Cellular Automata | 17 |

Part II Applications of Cellular Automata | 217 |

Part III Cellular Automata Software | 354 |

### Other editions - View all

Simulating Complex Systems by Cellular Automata Alfons G. Hoekstra,Jiri Kroc,Peter M.A. Sloot Limited preview - 2010 |

Simulating Complex Systems by Cellular Automata Alfons G. Hoekstra,Jiri Kroc,Peter M.A. Sloot No preview available - 2012 |

Simulating Complex Systems by Cellular Automata Alfons G. Hoekstra,Jiri Kroc,Peter M. A. Sloot No preview available - 2010 |

### Common terms and phrases

amensalism ants application automaton average behavior binary Boolean boundary conditions CA-models CA1-bit CEAs cellular array cellular automata cellular automata models cellular programming cellular space Chopard cluster Complex Systems components computational configuration contact angle cooperation defined density described diffusion domain drop dynamics environment equations evolution evolutionary evolutionary algorithm example finite genetic genetic algorithms global grid Heidelberg implementation individual initial interactions iteration lattice Boltzmann lattice Boltzmann method LGCA macroscopic migration Moore neighborhood neighborhood node operator optimization paradigm parallel parallel computers parameters parasites particles patterns payoff pF 2c pheromone Phys pixels population problem programming propagation PWLT PWRB Q Q Q Q Q Q QW QW QW R-tree replication scale self-replicating shown in Fig simulation spatial species Springer step structure superhydrophobic surface tion topology transition function transition rules two-dimensional Umeo update rule values velocity xPWLT