Agent-based Modelling: A Case Study in HIV Epidemic

This research presents an agent-based, bottom-up mod-elling approach to develop a simulation tool for esitmating and predicting the spread of the Human Immunodeciency Virus (HIV) in a given population. HIV is mainly a sexually transmitted disease (STD) causing a serious problem to hu-man health. The virus is transmitted from an infected per-son to another who was previously healthy through different biological, social and environmental factors. The research developes the simulation tool by modelling these factors by agents. Although research has and is being conducted to estimate and predict the spread of the HIV epidemic, the proposed research seeks to investigate the spread using a different approach. The previous models used a top-down modelling approach. They are built from the general char-acteristics and behaviours of the population. They have not explored the potential use of agent technology. This re-search attempts to investigate the exibility that the multi-agent system offers. Agent-based models are close to the situations that exist in a given real system that consists of autonomous components interacting with each other. The modelling approach has the advantage of observing the in-teraction made between agents, which is a difcult task in the top-down modelling approach. The research investi-gates the performance of the tool and presents the rst re-sults obtained