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METAMorph: Experimenting with Genetic Regulatory Networks for Artificial Development

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Advances in Artificial Life (ECAL 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3630))

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Abstract

We introduce METAMorph, an open source software platform for the experimental design of simulated cellular development processes using genomes encoded as genetic regulatory networks (GRNs). METAMorph allows researchers to design GRNs by hand and to visualise the resulting morphological growth process. As such, it is a tool to aid researchers in developing an understanding of the expressive properties of GRNs. We describe the software and present our preliminary observations in the form of techniques for realising some common structures.

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Author information

Authors and Affiliations

  1. Institute of Perception, Action and Behaviour, University of Edinburgh,  

    Finlay Stewart, Tim Taylor & George Konidaris

Authors
  1. Finlay Stewart
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  2. Tim Taylor
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  3. George Konidaris
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Editor information

Editors and Affiliations

  1. Natural Computation Group, University of Kent, CT2 7NF, Canterbury, UK

    Mathieu S. Capcarrère

  2. Computing Laboratory and Centre for BioMedical Informatics, University of Kent, CT2 7NF, Canterbury, UK

    Alex A. Freitas

  3. Computer Science Department, University College London, London, UK

    Peter J. Bentley

  4. Computing Laboratory, University of Kent, Canterbury, UK

    Colin G. Johnson

  5. Department of Electronics, University of York, YO10 5DD, Heslington, York, UK

    Jon Timmis

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© 2005 Springer-Verlag Berlin Heidelberg

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Stewart, F., Taylor, T., Konidaris, G. (2005). METAMorph: Experimenting with Genetic Regulatory Networks for Artificial Development. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds) Advances in Artificial Life. ECAL 2005. Lecture Notes in Computer Science(), vol 3630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553090_12

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  • DOI: https://doi.org/10.1007/11553090_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28848-0

  • Online ISBN: 978-3-540-31816-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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