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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Oates, R., Greensmith, J., Aickelin, U., Garibaldi, J., & Kendall, G. (2007). The application of a dendritic cell algorithm to a robotic classifier. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4628 LNCS, pp. 204–215). Springer Verlag. https://doi.org/10.1007/978-3-540-73922-7_18
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