The Application of a Dendric Cell Algorithm to a Robotic Classifier

Oates, Robert and Greensmith, Julie and Aickelin, Uwe and Garibaldi, Jon and Kendall, Graham (2007) The Application of a Dendric Cell Algorithm to a Robotic Classifier. In: Proceedings of the 6th International Conference on Artificial Immune Systems (ICARIS 2007), Santos, Brazil.

WarningThere is a more recent version of this item available.
[img] PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (420kB)

Abstract

The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.

Item Type: Conference or Workshop Item (Lecture)
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 12 Oct 2007 13:55
Last Modified: 12 Oct 2007 13:55
URI: http://eprints.nottingham.ac.uk/id/eprint/666

Available Versions of this Item

Actions (Archive Staff Only)

Edit View Edit View