The Application of a Dendric Cell Algorithm to a Robotic Classifier

Tools

Oates, Robert, Greensmith, Julie, Aickelin, Uwe, 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.

This is the latest version of this item.

Full text not available from this repository.

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)
RIS ID: https://nottingham-repository.worktribe.com/output/1017687
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 12 Oct 2007 13:44
Last Modified: 04 May 2020 20:29
URI: https://eprints.nottingham.ac.uk/id/eprint/667

Available Versions of this Item

Actions (Archive Staff Only)

Edit View Edit View