Open Journal of Modelling and Simulation
Volume 2, Issue 1 (January 2014)
ISSN Print: 2327-4018 ISSN Online: 2327-4026
Google-based Impact Factor: 0.35 Citations
Agent-Based Model: A Surging Tool to Simulate Infectious Diseases in the Immune System ()
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ABSTRACT
Agent-based models (ABMs) are capable of constructing individual system components at different levels of representation to describe non-linear relationships between those components. Compared to a traditional mathematical modeling approach, agent-based models have an inherent spatial component with which they can easily describe local interactions and environmental heterogeneity. Furthermore, agent-based model maps interactions among agents inherently to the biological phenomenon by embedding the stochastic nature and dynamics transitions, thereby demonstrating suitability for the development of complex biological processes. Recently, an abundance of literature has presented application of agent-based modeling in the biological system. This review focuses on application of agent-based modeling to progression in simulation of infectious disease in the human immune system and discusses advantages and disadvantages of agent-based modeling application. Finally, potential implementation of agent-based modeling in relation to infectious disease modeling in future research is explored.
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