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Handbook of Natural Computing pp 1575–1597Cite as

An Introduction to Artificial Immune Systems

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Abstract

The field of artificial immune systems (AIS) comprises two threads of research: the employment of mathematical and computational techniques in the modeling of immunology, and the incorporation of immune system metaphors in the development of engineering solutions. The former permits the integration of immunological data and sub-models into a coherent whole, which can be of value to immunologists in the facilitation of immunological understanding, hypothesis testing, and the direction of future research. The latter attempts to harness the perceived properties of the immune system in the solving of engineering problems. This chapter concentrates on the latter: the development and application of immune inspiration to engineering solutions.

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Acknowledgments

Mark Read is sponsored by the Department of Computer Science, University of York, and Paul Andrews is supported by EPSRC grant number EP/E053505/1.

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Authors and Affiliations

  1. Department of Computer Science, University of York, York, UK

    Mark Read

  2. Department of Computer Science, University of York, York, UK

    Paul S. Andrews

  3. Department of Computer Science and Department of Electronics, University of York, York, UK

    Jon Timmis

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  1. Mark Read
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  2. Paul S. Andrews
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  3. Jon Timmis
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Editors and Affiliations

  1. LIACS, Leiden University, Leiden, The Netherlands

    Grzegorz Rozenberg

  2. Computer Science Department, University of Colorado, Boulder, USA

    Grzegorz Rozenberg

  3. LIACS, Leiden University, Leiden, The Netherlands

    Thomas Bäck

  4. LIACS, Leiden University, Leiden, The Netherlands

    Joost N. Kok

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Read, M., Andrews, P.S., Timmis, J. (2012). An Introduction to Artificial Immune Systems. In: Rozenberg, G., Bäck, T., Kok, J.N. (eds) Handbook of Natural Computing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92910-9_47

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