Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-540-73922-7_18 | ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems |
Keywords | DocType | Volume |
cell population,possible solution,immune-inspired technique,robotic security,classification task,dendritic cell algorithm,time-dependant data,robotic classifier,real robot,migration threshold median,robotic classification problem,evolutionary computing,artificial intelligent | Journal | abs/1004.5222 |
ISSN | ISBN | Citations |
Proceedings of the 6th International Conference on Artificial
Immune Systems (ICARIS2007), Lecture Notes in Computer Science 4628, Santos,
Brazil, p204-215, 2007 | 3-540-73921-1 | 25 |
PageRank | References | Authors |
1.49 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert Oates | 1 | 51 | 3.60 |
| Julie Greensmith | 2 | 624 | 41.87 |
| Uwe Aickelin | 3 | 1679 | 153.63 |
| J. M. Garibaldi | 4 | 1425 | 146.38 |
| Graham Kendall | 5 | 46 | 2.91 |