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Exploiting the Plasticity of Primary and Secondary Response Mechanisms in Artificial Immune Systems

Greensmith, Julie; Jackson, Andrew M.; Spendlove, Ian

Authors

Julie Greensmith

Andrew M. Jackson

Ian Spendlove



Abstract

One of the key properties of the human immune system is to detect the presence of pathogens, and as such there are numberous immune algorithm which perform anomaly detection and pattern recognition. An additional facet of the human immune system is that an appropriate effector response is generated upon the detection of a pathogen - a process termed the primary response. Additionally the human immune system has the ability to remember the appropriate response to a particular pathogen - the secondary response. The complex orchestration of both the primary and secondary responses are highly dynamic - described in immunological terms as plastic. In this paper we present an overview of the the exact mechanisms of the generation of a T-helper cell primary response and the mechanisms by which it instructs secondary responses and discuss how this can be computationally useful in artificial immune system development.

Start Date Jul 20, 2016
Publication Date Jul 20, 2016
Peer Reviewed Peer Reviewed
Book Title Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion - GECCO '16 Companion
ISBN 9781450343237
APA6 Citation Greensmith, J., Jackson, A. M., & Spendlove, I. (2016). Exploiting the Plasticity of Primary and Secondary Response Mechanisms in Artificial Immune Systems. In Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion - GECCO '16 Companionhttps://doi.org/10.1145/2908961.2908962
DOI https://doi.org/10.1145/2908961.2908962
Keywords Artificial Immune Systems; Primary and Secondary Response
Publisher URL http://dl.acm.org/citation.cfm?doid=2908961.2908962
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information Published in: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion
pp. 7-8, ACM : New York, ©2016. ISBN: 9781450343237, doi: 10.1145/2908961.2908962

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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