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Spreadability and Vulnerability via Attributes for Systems Described by Cellular Automata: Application to Wildfire

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Cellular Automata (ACRI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13402))

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Abstract

In this paper, we investigate two concepts of system theory in the framework of cellular automata: spreadability and vulnerability. We have proposed adapting the definitions of these concepts for CA associated with a set of information characterizing the modeled space. The spreadability concept describes the expansion of property in space-time, and vulnerability describes the possibility for a region to be affected by this spreadability. The redefinition of these concepts will be based on the impact of the space structure translated into attributes notion. The interest is to study the spatial configuration effect as an environment favors or resists the property. This way, we can study vulnerability through an internal vision rather than only through external effects. Illustrations of our approach will be discussed in a 3D wildfire modeling application.

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Acknowledgements

This work was supported by ministry of National Education Professional training, Higher Education and Scientific Research (MENFPESRS) and the Digital Development Agency (DDA) of Morocco. Project Al Khawarizmi: Outil de Gestion Intelligente des Eaux d’irrigation et du patrimoine forestier.

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Authors and Affiliations

  1. GAT, Faculty of Sciences and Techniques of Tangier, University Abdelmalek Essaadi, Tétouan, Morocco

    Mohamed Byari, Abdes-samed Bernoussi, Hamidou Kassogué & Mina Amharref

  2. High Institute of Applied Technologies (TechnoLAB-ISTA), Bamako, BP, E3123, Mali

    Hamidou Kassogué

Authors
  1. Mohamed Byari
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  2. Abdes-samed Bernoussi
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  3. Hamidou Kassogué
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  4. Mina Amharref
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Corresponding author

Correspondence to Mohamed Byari .

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Editors and Affiliations

  1. University of Geneva, Geneva, Switzerland

    Bastien Chopard

  2. University of Milano-Bicocca, Milan, Italy

    Stefania Bandini

  3. University of Milano-Bicocca, Milan, Italy

    Alberto Dennunzio

  4. University of Geneva, Geneva, Switzerland

    Mira Arabi Haddad

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Byari, M., Bernoussi, As., Kassogué, H., Amharref, M. (2022). Spreadability and Vulnerability via Attributes for Systems Described by Cellular Automata: Application to Wildfire. In: Chopard, B., Bandini, S., Dennunzio, A., Arabi Haddad, M. (eds) Cellular Automata. ACRI 2022. Lecture Notes in Computer Science, vol 13402. Springer, Cham. https://doi.org/10.1007/978-3-031-14926-9_20

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  • DOI: https://doi.org/10.1007/978-3-031-14926-9_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-14925-2

  • Online ISBN: 978-3-031-14926-9

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