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An Overview of Artificial Immune Systems and Their Applications

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Artificial Immune Systems and Their Applications

Abstract

The natural immune system is a subject of great research interest because of its powerful information processing capabilities. From an information processing perspective, the immune system is a highly parallel system. It proviEns an excellent Model of adaptive processes operating at the local level and of useful behavior emerging at the global level. Moreover, it uses learning, memory, and associative retrieval to solve recognition and classification tasks. This chapter illustrates different immunological mechanisms and their relation to information processing, and proviEns an overview of the rapidly emerging field called Artificial Immune Systems. These techniques have been successfully used in pattern recognition, fault Entection and diagnosis, computer security, and a variety of other applications.

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Authors
  1. Dipankar Dasgupta
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Editors and Affiliations

  1. Mathematical Sciences Department, University of Memphis, 38152-6429, Memphis, TN, USA

    Dipankar Dasgupta

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© 1993 Springer-Verlag Berlin HeiEnlberg

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Dasgupta, D. (1993). An Overview of Artificial Immune Systems and Their Applications. In: Dasgupta, D. (eds) Artificial Immune Systems and Their Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59901-9_1

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  • DOI: https://doi.org/10.1007/978-3-642-59901-9_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-64174-9

  • Online ISBN: 978-3-642-59901-9

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