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A Cellular Automata Model for Adaptive Sympatric Speciation

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Cellular Automata (ACRI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4173))

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Abstract

The emergence of new species is one of the trickiest issues of evolutionary biology. We propose a cellular automata model to investigate the possibility that speciation proceeds in sympatry, focusing on the importance of the structure of the landscape on the likelihood of speciation. The conditions for speciation are shown to be limited whatever the landscape being considered, although habitat structure best favours the emergence of new species.

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Author information

Authors and Affiliations

  1. MEPS/ASD, University of Perpignan, 52, Paul Alduy Avenue, 66860, Perpignan, Cedex, France

    Samira El Yacoubi & Sebastien Gourbière

Authors
  1. Samira El Yacoubi
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  2. Sebastien Gourbière
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Editor information

Editors and Affiliations

  1. Laboratory of Mathematics, Physics and Systems, University of Perpignan, 52, Paul Alduy Avenue, 66860, Perpignan, Cedex, France

    Samira El Yacoubi

  2. Computer Science Department, University of Geneva, Switzerland

    Bastien Chopard

  3. Research Center on Complex Systems and Artificial Intelligence (CSAI) Department of Computer Science, Systems and Communication (DISCo), University of Milan, Bicocca viale Sarca, 336, 20126, Milan, (Italy)

    Stefania Bandini

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El Yacoubi, S., Gourbière, S. (2006). A Cellular Automata Model for Adaptive Sympatric Speciation. In: El Yacoubi, S., Chopard, B., Bandini, S. (eds) Cellular Automata. ACRI 2006. Lecture Notes in Computer Science, vol 4173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861201_34

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  • DOI: https://doi.org/10.1007/11861201_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40929-8

  • Online ISBN: 978-3-540-40932-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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