Skip to main content
SpringerLink
Log in
Book cover

International Conference on Artificial Immune Systems

ICARIS 2005: Artificial Immune Systems pp 483–497Cite as

Application Areas of AIS: The Past, The Present and The Future

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3627))

Abstract

After a decade of research into the area of Artificial Immune Systems, it is worthwhile to take a step back and reflect on the contributions that the paradigm has brought to the application areas to which it has been applied. Undeniably, there have been a lot of successful stories — however, if the field is to advance in the future and really carve out its own distinctive niche, then it is necessary to be able to illustrate that there are clear benefits to be obtained by applying this paradigm rather than others. This paper attempts to take stock of the application areas that have been tackled in the past, and ask the difficult question “was it worth it ?”. We then attempt to suggest a set of problem features that we believe will allow the true potential of the immunological system to be exploited in computational systems, and define a unique niche for AIS.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. http://www.dcs.napier.ac.uk/~emmah/research_interests/AIS.html

  2. Artist - uk based network, funded by esprc

    Google Scholar 

  3. http://evonet.lri.fr

  4. Artificial Immune Systems: Proceedings of ICARIS 2004. Springer, Heidelberg (2004)

    Google Scholar 

  5. Proceedings of Genetic and Evolutionary Computation Conference. Springer, Heidelberg (2004)

    Google Scholar 

  6. Aickelin, U., Cayzer, S.: The danger theory and its application to artificial immune systems. In: Timmis, J., Bentley, P.J. (eds.) Proceedings of the 1st International Conference on Artificial Immune Systems ICARIS, September 2002, pp. 141–148. University of Kent at Canterbury/University of Kent at Canterbury Printing Unit (2002)

    Google Scholar 

  7. Aicklen, U., Bentley, P., Cayzer, S., Kim, J., McLeod, J.: Danger Theory: The Link Between AIS and IDS? In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 147–155. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  8. Balthrop, J., Esponda, F., Forrest, S., Glickman, M.: Coverage and generalization in an artificial immune system. In: GECCO 2002: Proc. of the Genetic and Evolutionary Computation Conf., pp. 3–10 (2002)

    Google Scholar 

  9. Bersini, H.: Immune network and adaptive control. In: Proceedings of 1st Conference on Artificial Life, pp. 217–226. MIT Press, Cambridge (1991)

    Google Scholar 

  10. Bersini, H., Varela, F.: The Immune Learning Mechansims: Recruitment, Reinforcement and their Applications. Chapman Hall, Boca Raton (1994)

    Google Scholar 

  11. Cutello, V., Nicosia, G., Pavone, M.: Exploring the capability of immune algorithms: A characterization of hypermutation operators. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, vol. 3239, pp. 263–276. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  12. Dasgupta, D. (ed.): Artifificial Immune Systems and their Applications. Springer, Heidelberg (1999)

    Google Scholar 

  13. Dasgupta, D., KrishnaKumar, K., Wong, D., Berry, M.: Negative selection algorithm for aircraft fault detection. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, vol. 3239, pp. 1–13. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  14. De Castro, L.: Artificial immune systems bibliography, http://www.dca.fee.unicamp.br/~lnunes/AIS.html

  15. De Castro, L.: Engineering applications of artificial immune systems. Tutorial at ICARIS 2004 (2004), available from http://artificial-immune-systems.org/ICARIS2004/icaris2004.htm

  16. De Castro, L., Von Zuben, F.: Artifical immune systems: Part ii - a survery of applications. Technical Report DCA-RT 02/00, Department of Computer Engineering and Industrial Automation, State University of Campinas, Brazil (2000)

    Google Scholar 

  17. De Castro, L., Von Zuben, F.J.: The clonal selection algorithm with engineering applications. In: GECCO 2002 - Workshop Proceedings, p. 37 (2000)

    Google Scholar 

  18. De Castro, L.N., Von Zuben, F.J.: Ainet: An artificial immune network for data analysis. In: Abbass, H.A., Sarker, R.A., Newton, C.S. (eds.) Data Mining: A Heuristic Approach. Idea Group Publishing, USA (2001)

    Google Scholar 

  19. Esponda, F., Forrest, S., Helman, P.: A formal framework for positive and negative detection schemes. IEEE Transactions on Systems, Man and Cybernetics Part B 34, 357–373 (2004)

    Article  Google Scholar 

  20. Forrest, S., Hofmeyr, S., Somayaji, A.: Computer Immunology. Communications of the ACM 40(10), 88–96 (1997)

    Article  Google Scholar 

  21. Forrest, S., Perelson, A., Allen, L., Cherukuri, R.: Self-Nonself Discrimination in a Computer. In: Proc. of the IEEE Symposium on Research in Security and Privacy, pp. 202–212 (1994)

    Google Scholar 

  22. Freitas, A., Timmis, J.: Revisiting the Foundations of Artificial Immune Systems: A Problem Oriented Perspective. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 229–241. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  23. Gaspar, A., Collard, P.: From gas to artificial immune systems: Improving adaptation in time-dependent optimization. In: Proceedings of the Congress on Evolutionary Computation, pp. 1859–1866. IEEE Press, Los Alamitos (1999)

    Google Scholar 

  24. Germain, R.: An innately interesting decade of research in immunology. Nature Medicine 10(12), 1307–1320 (2004)

    Article  Google Scholar 

  25. Gonzalez, F., Dasgupta, D., Nino, L.F.: A randomized real-valued negative selection algorithm. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 261–272. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  26. Hart, E., Ross, P.: Exploiting the analogy betweeen the immune system and sparse distributed memories. Genetic Programming and Evolvable Machines 4, 333–358 (2003)

    Article  Google Scholar 

  27. Hart, E., Ross, P.: Studies on the implications of shape-space models for idiotypic networks. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, vol. 3239, pp. 413–426. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  28. Hart, E., Webb, A., Ross, P., Lawson, A.: A role for immunology in next generation robot controllers. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 46–56. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  29. Ji, Z., Dasgupta, D.: Real-valued negative selection algorithm with variable-sized detectors. In: Deb, K., et al. (eds.) GECCO 2004, Part 1. LNCS, vol. 3102, pp. 287–298. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  30. Kelsey, J., Timmis, J., Hone, A.: Chasing chaos. In: Congress on Evolutionary Computation, Canberra, Australia, pp. 89–98. IEEE, Los Alamitos (2003)

    Google Scholar 

  31. Kim, J., Bentley, P.: Immune Memory in the Dynamic Clonal Selection Algorithm. In: Timmis, J., Bentley, P. (eds.) Proceedings of the First International Conference on Artificial Immune Systems ICARIS, pp. 59–67 (2002)

    Google Scholar 

  32. Ko, A., Lau, H.Y.K., Lau, T.L.: An immuno control framework for cedcentralized mechatronic control. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, vol. 3239, pp. 46–57. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  33. Neal, M.: Meta-stable memory in an artificial immune network. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 168–180. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  34. Scholkopf, B., Platt, J., ShaweTaylor, A., Smola, A., Williamson, A.: Estimating the support of a high-dimensional distribution. Technical Report MSR-TR-99-87 (1999)

    Google Scholar 

  35. Secker, A., Freitas, A., Timmis, J.: AISEC: An Artificial Immune System for E-mail Classification. In: Proceedings of the Congress on Evolutionary Computation, pp. 131–139. IEEE, Los Alamitos (2003)

    Google Scholar 

  36. Segal, L., Cohen, I. (eds.): Design Principles for the Immune System and Other Distributed Systems. Oxford University Press, Oxford (2001)

    Google Scholar 

  37. Somayaji, A., Hofmeyr, S., Forrest, S.: Principles of a Computer Immune System. In: Design Principles for the Immune System and Other Distributed System. Oxford University Press, Oxford (2001)

    Google Scholar 

  38. Stepney, S., Smith, R., Timmis, J., Tyrrell, A.: Towards a Conceptual Framework for Artificial Immune Systems. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, vol. 3239, pp. 53–64. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  39. Stibor, T., Bayarou, K., Eckert, C.: An investigation of R-chunk detector generation on higher alphabets. In: Deb, K., et al. (eds.) GECCO 2004. LNCS, vol. 3102, pp. 26–30. Springer, Heidelberg (2004)

    Google Scholar 

  40. Stibor, T., Mohr, P., Timmis, J., Eckert, C.: Is negative selection algorithm suitable for anomaly detection? In: Proceedings of GECCO 2005, LNCS. Springer, Heidelberg (2005)

    Google Scholar 

  41. Taylor, D., Corne, D.: An investigation into negative selection algorithm for fault detction in refrigeration systems. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 34–45. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  42. Timmis, J., Edmonds, C., Kelsey, J.: Assessing the performance of two immune inspired algorithms and a hybrid genetic algorithm for optmisation. In: Proceedings of Genetic and Evolutionary Computation Conference, GECCO 2004, pp. 308–317. Springer, Heidelberg (2004)

    Google Scholar 

  43. Timmis, J., Neal, M.: Once more unto the breach: Towards artificial homeostasis. In: Recent Developments in Biologically Inspired Computing, pp. 340–365 (2005)

    Google Scholar 

  44. Villalobos-Arias, M., Coello Coello, C.A., Hernandez-Lerma, O.: Convergence analysis of a multiobjective artificial immune system algorithm. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, vol. 3239, pp. 226–235. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  45. Walker, J., Garrett, S.: Dyanmic function optimisation: Comparing the performance of clonalg and evolution strategies. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 273–284. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  46. Watkins, A., Timmis, J.: Exploiting the parallelism inherent in airs, and artificial immune classifier. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds.) ICARIS 2004. LNCS, vol. 3239, pp. 427–438. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  47. Wolpert, D., Macready, W.: No free lunch theorems for optimisation. IEEE Transactions on Evolutionary Computing (1997)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computing, Napier University,  

    Emma Hart

  2. Departments of Electronics and Computer Science, University of York,  

    Jonathan Timmis

Authors
  1. Emma Hart
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jonathan Timmis
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Evolutionary and Swarm Design Group, Dept. of Computer Science, University of Calgary, Alberta, Canada

    Christian Jacob

  2. Department of Computer Science, University of Calgary, 2500 University Drive NW, T2N 1N4, Calgary, Alberta, Canada

    Marcin L. Pilat

  3. Computer Science Department, University College London, London, UK

    Peter J. Bentley

  4. Department of Electronics, University of York, YO10 5DD, Heslington, York, UK

    Jonathan I. Timmis

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hart, E., Timmis, J. (2005). Application Areas of AIS: The Past, The Present and The Future. In: Jacob, C., Pilat, M.L., Bentley, P.J., Timmis, J.I. (eds) Artificial Immune Systems. ICARIS 2005. Lecture Notes in Computer Science, vol 3627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11536444_37

Download citation

  • DOI: https://doi.org/10.1007/11536444_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28175-7

  • Online ISBN: 978-3-540-31875-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation