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Titlebook: Simulating Complex Systems by Cellular Automata; Jiri Kroc,Peter M.A. Sloot,Alfons G. Hoekstra Book 2010 Springer-Verlag Berlin Heidelberg

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Complex Automata: Multi-scale Modeling with Coupled Cellular Automatahat nature itself is one big (quantum) information processing system, e.g. [4], and that CA may actually be nature’s way to do this processing [5–7]. We will not embark on this philosophical road, but ask ourselves a more mundane question. Can we use CA to model the inherently multi-scale processes
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Hierarchical Cellular Automata Methodsout multiscale systems in many disciplines, the advent of coupled, multiresolution, multiscale and hierarchical cellular automata has been recent in comparison. Here, the structural definition of a cellular automaton is augmented with an abstraction operator, which transforms the cellular automaton
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Problem Solving on One-Bit-Communication Cellular Automataogy, economy, geology, mechanical engineering, medicine, physics, sociology, and public transportation. Cellular automata are considered to provide a good model of complex systems in which an infinite array of finite state machines (cells) updates itself in a synchronous manner according to a unifor
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Minimal Cellular Automaton Model of Inter-species Interactions: Phenomenology, Complexity and Interpes has started with the popular article by Dewdney [20], supported by scientific publications on lattice-gas automata [9] and automata models of host-parasite interaction [29, 17], see a brief overview in [24] and discussion on advantages of cellular automata models of population dynamics in [18].
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