@article{Laroum_Tiguiouart_Redjimi_2016, title={Agent-Based Modelling applied to 5D model of the HIV infection}, volume={40}, url={//jios.foi.hr/index.php/jios/article/view/1030}, DOI={10.31341/jios.40.2.2}, abstractNote={<p class="AbstractText"><span lang="EN-US">This paper proposes a Multi-Agents Model to simulate the phenomenon of the infection by the human immunodeficiency virus (HIV). Since the HIV was isolated in 1983 and found to be the cause of the </span><span lang="EN-US">Acquired Immune Deficiency Syndrome<span class="apple-converted-space"> </span>(AIDS)</span><span lang="EN-US">in 1984, lots of studies have been carried out to understand the complex dynamics between the HIV virus and the immune system.</span></p><p class="AbstractText"><span lang="EN-US">The simplest model was the 3D mathematical model. But the complexity of this phenomenon and the diversity of cells and actors which affect its evolution requires the use of new approaches such as multi-agents approach that we have applied in this paper. The results of our simulator on the 5D model are promising because they are consistent with biological knowledge’s. Therefore, the proposed approach is well appropriate to the study of population dynamics in general and could help to understand and predict the dynamics of HIV infection.</span></p>}, number={2}, journal={Journal of Information and Organizational Sciences}, author={Laroum, Toufik and Tiguiouart, Bornia and Redjimi, Mohammed}, year={2016}, month={Dec.} }