Self-Organization in an Artificial Immune Network System

  • Julien Franzolini
  • Damien Olivier
Part of the Understanding Complex Systems book series (UCS)


Artificial Immune System field uses of the natural immune system as a metaphor for computational problems. The immune system exhibits a highly distributed, adaptive and self-organizing behavior. Furthermore it can learn to recognize shapes with its adaptive memory. The approach explored is inspired by an immune network model like Stewart-Varela’s model. This model is designed to better understand the memory and cognition properties. Emergent antibodies configurations are studied on this immune network model; indeed these configurations seem like cellular automata configurations and appear with self-organizing properties.

Key words

AIS immune network idiotypic network self-organisation 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [Aickelin et al. 2003]
    Aickelin, U.; Bentley, P.; Cayzer, S.; and J. Kim (2003) Danger Theory: The Link between AIS and IDS?. Proceedings of the 2nd International Conference on Artificial Immune System (ICARIS 2003), 147-155.Google Scholar
  2. [Bak 1996]
    Bak, P. (1996) How Nature works : the science of self-oganized criticality. Springer-Verlag.Google Scholar
  3. [de Castro et al. 2000]
    de Castro, L.N.; and F. J. Von Zuben (2000) An Evolutionary Immune Network for Data Clustering. in Proceedings of the IEEE SBRN’00 (Brazilian Symposium on Artificial Neural Networks), 84-89.Google Scholar
  4. [de Castro et al. 2003]
    de Castro, L.N.; and J. Timmis (2003) Artificial immune systems as a novel soft computing paradigm. Soft Computing(7), 526-544.Google Scholar
  5. [Stewart 1994]
    Stewart, J. (1994) Un syst`me cognitif sans neurone : les capacitésd’adaptation, d’apprentisage et de mémoire du système immunitaire. Intellectica 1994/1, 18, 15-43.Google Scholar
  6. [Timmis et al. 2000]
    Timmis, J.; Neal, M.; and J. Hunt (2000) An Artificial Immune System for Data Analysis, Biosystems(55), 143-150.CrossRefGoogle Scholar
  7. [Timmis et al. 2001]
    Timmis, J.; and T. Knight (2001). Artificial Immune Systems: Using the immune system as inspiration for data mining. in Hussein A. Abbas, Ruhul A. Sarker and Charles S. Newton (eds), Data Mining: A Heuristic Approach, Chapter XI, 209-230, Idea Group Publishing.Google Scholar
  8. [Wolfram 1993]
    Wolfram S. (1993) Statistical Mechanics of Cellular Automata. Review of Modern Physics (55), 601-644.MathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Julien Franzolini
    • 1
  • Damien Olivier
    • 1
  1. 1.LITISUniversity of Le HavreFrance

Personalised recommendations