Sciences]- biology and genetics.

Abstract

Researchers of HIV-1 are today, still unable to determine exactly the biological mechanisms that cause AIDS. Various mechanisms have been hypothesized and their existences have been experimentally verified, but whether they are sufficient to account for the observed disease progression is still in question. To better understand the phenomena, HIV-1 researchers turn to scientific models for hypothesis verification. Modeling methods which rely on differential calculus to describe population dynamics, can be inconvenient for predicting nonuniform interactions on a spatial dimension. Multi-Agent (or MA) modeling approaches, on the other hand, views the immune system as a hierarchical structure of cooperating and competing agents, operating with highly coupled behaviours to exhibit emergent complexity. We adopt the latter approach to simulate the pathogenesis of HIV-1. We show the model design and the emergent results for four well-know