JAMIE TWYCROSS JAMIE.TWYCROSS@NOTTINGHAM.AC.UK
Associate Professor
'Towards a Conceptual Framework for Innate Immunity'
Twycross, Jamie; Aickelin, Uwe
Authors
Uwe Aickelin
Abstract
Innate immunity now occupies a central role in immunology. However, artificial immune system models have largely been inspired by adaptive not innate immunity. This paper reviews the biological principles and properties of innate immunity and, adopting a conceptual framework, asks how these can be incorporated into artificial models. The aim is to outline a meta-framework for models of innate immunity.
Citation
Twycross, J., & Aickelin, U. (2005). 'Towards a Conceptual Framework for Innate Immunity'.
Conference Name | ICARIS-2005, 4th International Conference on Artificial Immune Systems, LNCS 3627 |
---|---|
Publication Date | Jan 1, 2005 |
Deposit Date | Oct 22, 2007 |
Publicly Available Date | Oct 22, 2007 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/1020755 |
Files
05icaris_innate.pdf
(444 Kb)
PDF
You might also like
Infobiotics workbench: a P systems based tool for systems and synthetic biology
(2013)
Book Chapter
A new accuracy measure based on bounded relative error for time series forecasting
(2017)
Journal Article
Information fusion in the immune system
(-0001)
Journal Article
Detecting anomalous process behaviour using second generation Artificial Immune Systems
(2010)
Journal Article
An Immune Inspired Approach to Anomaly Detection
(2008)
Book Chapter
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@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