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Evaluating Theories of Immunological Memory Using Large-Scale Simulations

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Artificial Immune Systems (ICARIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3627))

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Abstract

Immunological simulations offer the possibility of performing high-throughput experiments in silico that can predict, or at least suggest, in vivo phenomena. In this paper, we first validate an experimental immunological simulator, developed by the authors, by simulating several theories of immunological memory with known results. We then use the same system to evaluate the predicted effects of a theory of immunological memory. The resulting model has not been explored before in artificial immune systems research, and we compare the simulated in silico output with in vivo measurements. We conclude that the theory appears valid, but that there are a common set of reasons why simulations are a useful support tool, not conclusive in themselves.

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Author information

Authors and Affiliations

  1. Computational Biology Group, Dept. Computer Science, University of Wales, Aberystwyth Wales, SY23 3DB, UK

    M. J. Robbins & S. M. Garrett

Authors
  1. M. J. Robbins
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  2. S. M. Garrett
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Editor information

Editors and Affiliations

  1. Evolutionary and Swarm Design Group, Dept. of Computer Science, University of Calgary, Alberta, Canada

    Christian Jacob

  2. Department of Computer Science, University of Calgary, 2500 University Drive NW, T2N 1N4, Calgary, Alberta, Canada

    Marcin L. Pilat

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

    Peter J. Bentley

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

    Jonathan I. Timmis

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© 2005 Springer-Verlag Berlin Heidelberg

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Robbins, M.J., Garrett, S.M. (2005). Evaluating Theories of Immunological Memory Using Large-Scale Simulations. In: Jacob, C., Pilat, M.L., Bentley, P.J., Timmis, J.I. (eds) Artificial Immune Systems. ICARIS 2005. Lecture Notes in Computer Science, vol 3627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11536444_15

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  • DOI: https://doi.org/10.1007/11536444_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28175-7

  • Online ISBN: 978-3-540-31875-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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