Cellular Automata are commonly used to describe complex natural phenomena. In many cases it is required to capture the multi-scale nature of these phenomena. A single Cellular Automata model may not be able to efficiently simulate a wide range of spatial and temporal scales. It is our goal to establish a Cellular Automata modeling paradigm for multi-scale processes. Here we will demonstrate that Complex Automata, a paradigm that we recently introduced, are capable to facilitate such modeling. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Hoekstra, A. G., Falcone, J. L., Caiazzo, A., & Chopard, B. (2008). Multi-scale modeling with cellular automata: The complex automata approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5191 LNCS, pp. 192–199). https://doi.org/10.1007/978-3-540-79992-4_25
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