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A Generalized Rapid Development Environment for Cellular Automata Based Simulations

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Cellular Automata (ACRI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3305))

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Abstract

Cellular Automata (CA) are widely applied in variety of fields, and this made generalised simulation environments become increasingly important for the development of CA-based scientific applications. In this paper we discuss the fact that many real phenomena require strong relaxation of classical CA assumptions in order to be adequately modelled, and that brings about limitations of existing modelling and simulation environments, often based on insufficiently generalised CA formulations. These considerations have induced us to develop a modelling environment based on a largely generalised CA formulation. The environment has proven to be particularly suitable for modelling and simulation of spatial urban, territorial and environmentally-oriented phenomena.

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Author information

Authors and Affiliations

  1. Dept. of Planning, Università IUAV di Venezia, Venezia, Italy

    Ivan Blecic

  2. Faculty of Architecture in Alghero, University of Sassari, Alghero, Italy

    Arnaldo Cecchini

  3. Center of High-Performance Computing, University of Calabria, Rende (CS), Italy

    Giuseppe A. Trunfio

Authors
  1. Ivan Blecic
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  2. Arnaldo Cecchini
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  3. Giuseppe A. Trunfio
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Editor information

Editors and Affiliations

  1. Faculty of Sciences, Section of Computational Science, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands

    Peter M. A. Sloot

  2. Computer Science Department, University of Geneva, Switzerland

    Bastien Chopard

  3. Section Computational Science, University of Amsterdam, The Netherlands

    Alfons G. Hoekstra

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© 2004 Springer-Verlag Berlin Heidelberg

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Blecic, I., Cecchini, A., Trunfio, G.A. (2004). A Generalized Rapid Development Environment for Cellular Automata Based Simulations. In: Sloot, P.M.A., Chopard, B., Hoekstra, A.G. (eds) Cellular Automata. ACRI 2004. Lecture Notes in Computer Science, vol 3305. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30479-1_88

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  • DOI: https://doi.org/10.1007/978-3-540-30479-1_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23596-5

  • Online ISBN: 978-3-540-30479-1

  • eBook Packages: Springer Book Archive

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