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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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CA Modeling of Ant-Traffic on Trailsicular traffic [3] and biological systems [4,5]. In most cases, particle-hopping CA models have been used to study the spatio-temporal organization in systems of interacting particles driven far from equilibrium [2,3]. In traffic systems, vehicles are represented by particles while their mutual infl
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Parallel Cellular Programming for Emergent Computationx system emerges from evolution and interaction of many elements. Therefore programming emergent systems needs models, paradigms, and operations that allow for expressing the behavior and interaction of a very large number of single elements.
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CA Modeling of Ant-Traffic on Trailsuence is captured by the inter-particle interactions. Generically, these inter-particle interactions tend to hinder their motions which leads a monotonic decrease of the average speed as function of the particle density [6,7].
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1860-0832 llent starting point for own research for newcomers to the fDeeply 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
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