The Application of a Dendritic Cell Algorithm to a Robotic Classifier
Artificial Intelligence
2010-07-05 v1 Neural and Evolutionary Computing
Robotics
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.
Cite
@article{arxiv.1004.5222,
title = {The Application of a Dendritic Cell Algorithm to a Robotic Classifier},
author = {Robert Oates and Julie Greensmith and Uwe Aickelin and Jonathan M. Garibaldi and Graham Kendall},
journal= {arXiv preprint arXiv:1004.5222},
year = {2010}
}
Comments
12 pages, 4 figures, Proceedings of the 6th International Conference on Artificial Immune Systems (ICARIS2007)