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Modularity in a Computational Model of Embryogeny

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Design by Evolution

Part of the book series: Natural Computing Series ((NCS))

Abstract

Natural evolution is about searching for adaptations in order to survive in a constantly changing environment. Of course, in nature these adaptations can occur at many levels from the single gene to entire populations of individuals. Adaptation can consist of rapid successful genetic changes, common in many forms of bacteria, to changes in phenotypic behaviour, such as the ability of humans to develop new skills and technologies.

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Author information

Authors and Affiliations

  1. School of Computer Science, University of Birmingham, UK

    Chris P. Bowers

Authors
  1. Chris P. Bowers
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Editor information

Editors and Affiliations

  1. School of Computer and Information Sciences, Edith Cowan University, 2 Bradford St, Mt. Lawley, WA, 6020, Australia

    Philip F. Hingston

  2. School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia

    Luigi C. Barone

  3. School of Computer Science, University of Adelaide, Adelaide, SA, 5005, Australia

    Zbigniew Michalewicz

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© 2008 Springer-Verlag Berlin Heidelberg

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Bowers, C.P. (2008). Modularity in a Computational Model of Embryogeny. In: Hingston, P.F., Barone, L.C., Michalewicz, Z. (eds) Design by Evolution. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74111-4_14

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  • DOI: https://doi.org/10.1007/978-3-540-74111-4_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74109-1

  • Online ISBN: 978-3-540-74111-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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