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A Multi-agent System for the Modelling of the HIV Infection

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Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6682))

Abstract

The mathematical tool was used for a long time to model the dynamics of the populations, at present approach of modeling Multi-agents seem to be promising in the views of its capacity to master the complexity of the studied systems. In this work we try to model the population of cells occurring during the infection by the virus of the human immunodeficiency (HIV) to show the efficiency of the approach Multi-agents by comparing with the mathematical approach. The obtained results allowed to bring to light the behaviour and the interactions between the various cells studied in agreement with the biological reports.

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References

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Author information

Authors and Affiliations

  1. University of August 20, 1955, skikda, Algeria

    Toufik Laroum

  2. University of Badji Mokhtar, Annaba, Algeria

    Bornia Tighiouart

Authors
  1. Toufik Laroum
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  2. Bornia Tighiouart
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Editor information

Editors and Affiliations

  1. Manchester Metropolitan University, M1 5GD, Manchester, UK

    James O’Shea  & Keeley Crockett  & 

  2. Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. University of Bournemouth, BH12 5BB, Poole, UK

    Robert J. Howlett

  4. University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2011 Springer-Verlag Berlin Heidelberg

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Laroum, T., Tighiouart, B. (2011). A Multi-agent System for the Modelling of the HIV Infection. In: O’Shea, J., Nguyen, N.T., Crockett, K., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2011. Lecture Notes in Computer Science(), vol 6682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22000-5_11

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  • DOI: https://doi.org/10.1007/978-3-642-22000-5_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21999-3

  • Online ISBN: 978-3-642-22000-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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