Agent-Based Modelling Applied to 5D Model of the HIV Infection

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 Acquired Immune Deficiency Syndrome (AIDS) in 1984; many studies have been carried out to understand the complex dynamics between the HIV virus and the immune system. The simplest model was the 3D mathematical model. However, the complexity of this phenomenon and the diversity of cells and actors, which affect its evolution, requires the use of new approaches such as multiagents 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 on this phenomenon. 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.