Multi-agent modeling of the immune system: The situated cellular agents approach

Issue title: Multi-agent systems for medicine, computational biology, and bioinformatics

Guest editors: Giuliano Armano

Article type: Research Article

Authors: Bandini, Stefania | Manzoni, Sara | Vizzari, Giuseppe^{; *}

Affiliations: Complex Systems and Artificial Intelligence Research Centre, Department of Informatics, Systems and Communication, University of Milan, Bicocca, Via Bicocca degli Arcimboldi, 8, 20126 Milano, Italy | Department of Electrical and Electronical Engineering, University of Cagliari, Italy

Correspondence: [*] Corresponding author. Tel.: +39 02644 87865; Fax: +39 02644 87839; E-mail: vizzari@disco.unimib.it

Abstract: The Immune System (IS) is the main defense mechanism of higher level organisms to antigens (microscopic threats, such as viruses and bacteria). It is a very complex system, genuinely distributed and providing mechanisms of adaptation to unknown threats. The most relevant characteristics of the IS, such as learning capabilities and the possibility to tackle unknown threats in any part of the body, are a consequence of interactions among its composing parts. This paper describes a Multi-Agent Systems modeling approach to the study of interactions in the IS, adopting the Situated Cellular Agents (SCA) model. After a brief description of the IS, an overview of current modeling and simulation approaches will be given. The SCA model will be then introduced and exploited in order to model some relevant elements and mechanisms of the IS. This work is one of the results of an interdisciplinary research that has involved immunologists of the Advanced Biotechnology Center of Genova and computer scientists of the University of Milan-Bicocca.

Keywords: Multi-agent system, MAS based simulation, immune system modeling

DOI: 10.3233/MGS-2007-3203

Journal: Multiagent and Grid Systems, vol. 3, no. 2, pp. 173-182, 2007