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Immune Systems and Computation: An Interdisciplinary Adventure

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Unconventional Computing (UC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5204))

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Abstract

Artificial Immune Systems (AIS) is a diverse area of research that attempts to bridge the divide between immunology and engineering and are developed through the application of techniques such as mathematical and computational modeling of immunology, abstraction from those models into algorithm (and system) design and implementation in the context of engineering. Whilst AIS has become known as an area of computer science and engineering that uses immune system metaphors for the creation of novel solutions to problems, we argue that the area of AIS is much wider and is not confined to the simple development of new algorithms. In this paper we would like to broaden the understanding of what AIS are all about, thus driving the area into a true interdisciplinary one of genuine interaction between immunology, mathematics and engineering.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of York, Heslington, York, YO10 5DD, UK

    Jon Timmis, Paul Andrews & Ed Clark

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

    Jon Timmis & Nick Owens

Authors
  1. Jon Timmis
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  2. Paul Andrews
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  3. Nick Owens
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  4. Ed Clark
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Editor information

Cristian S. Calude José Félix Costa Rudolf Freund Marion Oswald Grzegorz Rozenberg

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Timmis, J., Andrews, P., Owens, N., Clark, E. (2008). Immune Systems and Computation: An Interdisciplinary Adventure. In: Calude, C.S., Costa, J.F., Freund, R., Oswald, M., Rozenberg, G. (eds) Unconventional Computing. UC 2008. Lecture Notes in Computer Science, vol 5204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85194-3_4

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  • DOI: https://doi.org/10.1007/978-3-540-85194-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85193-6

  • Online ISBN: 978-3-540-85194-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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