Steve Cayzer
Gene libraries: Coverage, efficiency and diversity
Cayzer, Steve; Smith, Jim
Authors
Jim Smith James.Smith@uwe.ac.uk
Professor in Interactive Artificial Intelligence
Contributors
Hugues Bersini
Editor
Jorge Carneiro
Editor
Abstract
Gene libraries are a biological mechanism for generating combinatorial diversity in the immune system. However, they also bias the antibody creation process, so that they can be viewed as a way of guiding lifetime learning mechanisms. In this paper we examine the implications of this view, by examining coverage, avoidance of self, clustering and diversity. We show how gene libraries may improve both computational expense and performance, and present an analysis which suggests how they might do it. We suggest that gene libraries: provide combinatorial efficiency; improve coverage; reduce the cost of negative selection; and allow targeting of fixed antigen populations.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | International Conference on Artificial Immune Systems |
Start Date | Sep 4, 2006 |
End Date | Sep 6, 2006 |
Publication Date | Jan 1, 2006 |
Pages | 136-149 |
Series Title | Lecture Notes in Computer Science |
Series Number | 4163 |
Series ISSN | 0302-9743 |
Book Title | Artificial Immune Systems. ICARIS 2006 |
ISBN | 9783540377498 |
DOI | https://doi.org/10.1007/11823940_11 |
Keywords | computation by abstract devices, artificial intelligence, algorithm analysis and problem complexity, database management, information storage and retrieval, bioinformatics gene libraries, artificial immune systems, antibodies, diversity, Baldwin effect, l |
Public URL | https://uwe-repository.worktribe.com/output/1043184 |
Publisher URL | http://dx.doi.org/10.1007/11823940_11 |
You might also like
The inadvertently revealing statistic: A systemic gap in statistical training?
(2024)
Journal Article
SACRO guide to statistical output checking
(2023)
Other
A novel mirror neuron inspired decision-making architecture for human–robot interaction
(2023)
Journal Article
Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue
(2022)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.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 © 2025
Advanced Search