Neural Nets pp 231-243 | Cite as

Modelling the Immune System with Situated Agents

  • Stefania Bandini
  • Franco Celada
  • Sara Manzoni
  • Roberto Puzone
  • Giuseppe Vizzari
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3931)


The Immune System (IS) represents the defence mechanism of higher level organisms to micro organismic threats. It is a genuinely distributed system provided with mechanisms of adaptation to unknown threats by means of the cooperation of heterogenous autonomous entities. Features of the overall systems, such as learning capabilities, possibility to tackle unknown threats in any part of the body, are a consequence of these interactions. This paper describes how a Multi-Agent approach, and more precisely the Situated Cellular Agents (SCA) model, can be suitably applied to represent specific elements and mechanisms of the IS. After a brief description of the composing parts and the internal mechanisms of the IS, the SCA model will be introduced and exploited to represent them.


Cellular Automaton Cellular Automaton Cellular Automaton Model Free Virus Multi Agent 


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  1. 1.
    Bandini, S.: Hyper-cellular automata for the simulation of complex biological systems: a model for the immune system. In: Kirschner, D. (ed.) Special Issue on Advance in Mathematical Modeling of Biological Processes, vol. 3 (1996)Google Scholar
  2. 2.
    Bandini, S., Manzoni, S., Simone, C.: Dealing with Space in Multi-Agent Systems: a model for Situated MAS. In: Proceedings of the First International Joint Conference on Autonomous Agents and Multi–Agent Sytems (AAMAS 2002), pp. 1183–1190. ACM press, New York (2002)CrossRefGoogle Scholar
  3. 3.
    Bandini, S., Mauri, G., Vizzari, G.: Supporting Action–at–a–distance in Situated Cellular Agents. In: Fundamenta Informaticae. IOS press, Amsterdam (2005) (in press)Google Scholar
  4. 4.
    Celada, F., Seiden, P.: A computer model of cellular interactions in the immune system. Immunology Today 13(2), 56–62 (1992)CrossRefGoogle Scholar
  5. 5.
    Ferber, J.: Multi-Agents Systems. Addison Wesley, Reading (1999)MATHGoogle Scholar
  6. 6.
    Kephart, J.O., Sorkin, G.B., Swimmer, M., White, S.R.: Blueprint for a Computer Immune System. In: Dasgupta, D. (ed.) Artificial Immune Systems and Their Applications, pp. 221–241. Springer, Heidelberg (1999)Google Scholar
  7. 7.
    Kleinstein, S.H., Seiden, P.E.: Simulating the Immune System. IEEE Computing in Science and Engineering 2(4), 69–77 (2000)CrossRefGoogle Scholar
  8. 8.
    Krishna Kumar, K., Neidhoefer, J.: Immunized Adaptive Critics for an Autonomous Aircraft Control Application. In: Dasgupta, D. (ed.) Artificial Immune Systems and Their Applications, pp. 242–261. Springer, Heidelberg (1999)Google Scholar
  9. 9.
    Moss, S., Davidsson, P. (eds.): MABS 2000. LNCS (LNAI), vol. 1979, pp. 97–107. Springer, Heidelberg (2001)Google Scholar
  10. 10.
    Puzone, R., Kohler, B., Seiden, P., Celada, F.: IMMSIM, a flexible model for in machina experiments on immune system responses. Future Generation Computer Systems 18(7), 961–972 (2002)CrossRefMATHGoogle Scholar
  11. 11.
    Přiikrylová, D., Jílek, M., Waniewski, J.: Mathematical Modeling of the Immune Response. CRC Press, Boca Raton (1992)MATHGoogle Scholar
  12. 12.
    Repast website (2003),
  13. 13.
    Roitt, I.: Essential Immunology. Blackwell, Malden (1994)Google Scholar
  14. 14.
    Wolfram, S.: Theory and Applications of Cellular Automata. World Press (1986)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Stefania Bandini
    • 1
  • Franco Celada
    • 2
  • Sara Manzoni
    • 1
  • Roberto Puzone
    • 3
  • Giuseppe Vizzari
    • 1
  1. 1.Dipartimento di Informatica, Sistemistica e ComunicazioneUniversità degli Studi di Milano–BicoccaMilanoItaly
  2. 2.Università di GenovaGenovaItaly
  3. 3.National Institute for Cancer Research Epidemiology and PreventionGenovaItaly

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