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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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
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