JULIE GREENSMITH julie.greensmith@nottingham.ac.uk
Lecturer
Exploiting the Plasticity of Primary and Secondary Response Mechanisms in Artificial Immune Systems
Greensmith, Julie; Jackson, Andrew M.; Spendlove, Ian
Authors
ANDREW JACKSON ANDREW.JACKSON@NOTTINGHAM.AC.UK
Associate Professor
IAN SPENDLOVE IAN.SPENDLOVE@NOTTINGHAM.AC.UK
Associate Professor
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.
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 Companion (7-8). https://doi.org/10.1145/2908961.2908962
Conference Name | GECCO '16 Companion 2016 on Genetic and Evolutionary Computation Conference Companion |
---|---|
Conference Location | Denver, Colorado, USA |
Start Date | Jul 20, 2016 |
End Date | Jul 24, 2016 |
Acceptance Date | May 8, 2016 |
Publication Date | Jul 20, 2016 |
Deposit Date | Aug 9, 2016 |
Publicly Available Date | Aug 9, 2016 |
Peer Reviewed | Peer Reviewed |
Pages | 7-8 |
Book Title | Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion - GECCO '16 Companion |
ISBN | 9781450343237 |
DOI | https://doi.org/10.1145/2908961.2908962 |
Keywords | Artificial Immune Systems; Primary and Secondary Response |
Public URL | https://nottingham-repository.worktribe.com/output/800137 |
Publisher URL | http://dl.acm.org/citation.cfm?doid=2908961.2908962 |
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 |
Files
PlasticPSR_Abstract.pdf
(106 Kb)
PDF
You might also like
Migration threshold tuning in the deterministic dendritic cell algorithm
(2019)
Book Chapter
Theoretical formulation and analysis of the deterministic dendritic cell algorithm
(2013)
Journal Article
Quiet in class: classification, noise and the dendritic cell algorithm
(2011)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: digital-library-support@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search