Multi-scale Modeling with Cellular Automata: The Complex Automata Approach

  • Authors:

  • Alfons G. Hoekstra;Jean-Luc Falcone;Alfonso Caiazzo;Bastien Chopard

  • Affiliations:

  • Section Computational Science, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands 1098 SJ;Department of Computer Science, University of Geneva, Geneva 4, Switzerland 1211;Section Computational Science, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands 1098 SJ;Department of Computer Science, University of Geneva, Geneva 4, Switzerland 1211

  • Venue:
  • ACRI '08 Proceedings of the 8th international conference on Cellular Automata for Reseach and Industry
  • Year:
  • 2008

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Abstract

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.