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A Self-organising, Self-adaptable Cellular System

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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

Inspired by the recent advances in evolutionary biology, we have developed a self-organising, self-adaptable cellular system for multitask learning. The main aim of our project is to design and prototype a framework that facilitates building complex software systems in an automated and autonomous fashion. The current implementation consists of specialised programs that call (co-operate with) their local neighbours. The relationships between programs self-assemble in a symbiotic-like fashion.

Specialisation is achieved by stochastic exploration of alternative configurations and program space. A collection of global and local behaviours have been observed and investigated. Based on preliminary experimental results, certain behaviours that spontaneously exhibit self-organisation and self-assembly are discussed.

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Author information

Authors and Affiliations

  1. Swiss Federal Institute of Technology, (EPFL), Lausanne, Switzerland

    Lucien Epiney

  2. Department Information Science, University of Otago, Dunedin, New Zealand

    Mariusz Nowostawski

Authors
  1. Lucien Epiney
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  2. Mariusz Nowostawski
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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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Epiney, L., Nowostawski, M. (2005). A Self-organising, Self-adaptable Cellular System. 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_14

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  • DOI: https://doi.org/10.1007/11553090_14

  • 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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