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Exploiting collaborations in the immune system: the future of Artificial Immune Systems.

Hart, Emma, McEwan, Chris and Davoudani, Despina (2009) Exploiting collaborations in the immune system: the future of Artificial Immune Systems. In: Computational Intelligence: Collaboration, Fusion and Intelligence. Intelligent Systems Reference Library, 1 . Springer-Verlag, pp. 527-558. ISBN 978-3-642-01798-8

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    Abstract/Description

    Despite a steady increase in the application of algorithms inspired by the natural immune system to a variety of domains over the previous decade, we argue that the field of Artificial Immune Systems has yet to achieve its full potential. We suggest that two factors contribute to this; firstly, that the metaphor has been applied to insufficiently complex domains, and secondly, that isolated mechanisms that occur in the immune system have been used naïvely and out of context. We outline the properties of domains which may benefit from an immune approach and then describe a number of immune mechanisms and perspectives that are ripe for exploration from a computational perspective. In each of these mechanisms collaboration plays a key role. The concepts are illustrated using two exemplars of practical applications of selected mechanisms from the domains of machine learning and wireless sensor networks. The article suggests that exploiting the collaborations that occur between actors and signals in the immune system will lead to a new generation of engineered systems that are fit for purpose in the same way as their biological counterparts.

    Item Type: Book Section
    ISBN: 978-3-642-01798-8
    Uncontrolled Keywords: immune system; AIS; engineered systems; complex domains;
    University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
    Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 006 Special Computer Methods > 006.3 Artificial intelligence
    Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Item ID: 3680
    Depositing User: Computing Research
    Date Deposited: 31 Mar 2010 13:19
    Last Modified: 28 Nov 2013 11:54
    URI: http://researchrepository.napier.ac.uk/id/eprint/3680

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