The diagnostic dendritic cell algorithm for robotic systems

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Volumn , Issue , 2010, Pages

  Bi, Ran ^a   Timmis, Jon ^a   Tyrrell, Andy ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DENDRITIC CELLS; ON-LINE DIAGNOSIS; ROBOTIC SYSTEMS; STUCK-AT FAULTS; TIME FRAME;

ARTIFICIAL INTELLIGENCE; CELLS; INTELLIGENT ROBOTS;

EVOLUTIONARY ALGORITHMS;

EID: 79959455640     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5586499     Document Type: Conference Paper

References (24)

1. P. Lala, Fault tolerant and fault testable hardware design, 1985.
2. R. Isermann, Fault-diagnosis systems: an introduction from fault detection to fault tolerance. Springer, 2006.
3. U. Lerner, R. Parr, D. Koller, and G. Biswas, "Bayesian fault detection and diagnosis in dynamic systems," in Proceedings of the National Conference on Artificial Intelligence. Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press; 1999, 2000, pp. 531-537.
4. B. Dasarathy, "Nearest Neighbor (NN) norms: NN pattern classification techniques," 1990.
5. R. Patton, J. Chen, and C. Lopez-Toribio, "Fuzzy observers for nonlinear dynamic systems fault diagnosis," in Decision and Control, 1998. Proceedings of the 37th IEEE Conference on, vol. 1, 1998.
6. T. Bi, Y. Ni, C. Shen, and F. Wu, "A novel ann fault diagnosis system for power systems using dual galoops in ann training," in IEEE Power Engineering Society Summer Meeting, 2000, vol. 1, 2000.
7. V. Venkatasubramanian and K. Chan, "A neural network methodology for process fault diagnosis," AIChE Journal, vol. 35, no. 12, pp. 1993-2002, 1989.
8. http://www.e-puck.org/, jan 2010.
9. J. Greensmith, U. Aickelin, and G. Tedesco, "Information fusion for anomaly detection with the dendritic cell algorithm," Information Fusion, vol. 11, no. 1, pp. 21-34.
10. R. Oates, J. Greensmith, U. Aickelin, J. Garibaldi, and G. Kendall, "The application of a dendritic cell algorithm to a robotic classifier," Lecture Notes in Computer Science, vol. 4628, p. 204, 2007.
11. N. Lay and I. Bate, "Improving the reliability of real-time embedded systems using innate immune techniques," Evolutionary Intelligence, vol. 1, no. 2, pp. 113-132, 2008.
12. J. Greensmith, U. Aickelin, and J. Twycross, "Articulation and clarification of the dendritic cell algorithm," Lecture Notes in Computer Science, vol. 4163, p. 404, 2006.
13. V. Venkatasubramanian, R. Rengaswamy, K. Yin, and S. Kavuri, "A review of process fault detection and diagnosis part i: Quantitative model-based methods," Computers and Chemical Engineering, vol. 27, no. 3, pp. 293-346, 2003.
14. J. Greensmith, U. Aickelin, and S. Cayzer, "Introducing dendritic cells as a novel immune-inspired algorithm for anomaly detection," Lecture Notes in Computer Science, vol. 3627, p. 153, 2005.
15. L. De Castro and J. Timmis, Artificial immune systems: a new computational intelligence approach. Springer Verlag, 2002.
16. J. Greensmith and U. Aickelin, "The deterministic dendritic cell algorithm," in 7th International Conference on Artificial Immune Systems (ICARIS). Springer, 2008, pp. 291-303.
17. W. Lee and S. Stolfo, "Data mining approaches for intrusion detection," 2000.
18. J. Kim and P. Bentley, "Negative selection and niching by an artificial immune system for network intrusion detection," in GECCO-99 Proceedings. Citeseer, 1999, pp. 149-158.
19. T. Stibor, R. Oates, G. Kendall, and J. Garibaldi, "Geometrical insights into the dendritic cell algorithm," in Proceedings of the 11th Annual conference on Genetic and evolutionary computation. ACM, 2009, pp. 1275-1282.
20. J. Timmis, A. Hone, T. Stibor, and E. Clark, "Theoretical advances in artificial immune systems," Theoretical Computer Science, vol. 403, no. 1, pp. 11-32, 2008.
21. E. Hart and J. Timmis, "Application areas of ais: The past, the present and the future," Applied Soft Computing Journal, vol. 8, no. 1, pp. 191-201, 2008.
22. R. Oates, G. Kendall, and J. Garibaldi, "Frequency analysis for dendritic cell population tuning," Evolutionary Intelligence, vol. 1, no. 2, pp. 145-157, 2008.
23. http://playerstage.sourceforge.net/, jan 2010.
24. T. Fawcett, "An introduction to roc analysis," Pattern recognition letters, vol. 27, no. 8, pp. 861-874, 2006.