Journal
INFORMATION SCIENCES
Volume 179, Issue 10, Pages 1379-1389Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2008.11.012
Keywords
Agent-based model; Host-pathogen dyamics; Artificial immune system; Multiscale; Tumor growth; Tuberculosis; Acute inflammation; Sensitivity analysis
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Funding
- US Department of Energy [DE-AC52-06NA25396]
- NIH [AI28433, RR06555, P01-AI071195, NOI-A150020, A173607]
- UNM/LANL joint Science and Technology Laboratory
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Agent-based models have been employed to describe numerous processes in immunology. Simulations based on these types of models have been used to enhance out understanding of immunology and disease pathology. We review various agent-based models relevant to host-pathogen systems and discuss their contributions to our understanding of biological processes. We then point out some limitations and challenges of agent-based models and encourage efforts towards reproducibility and model validation. (c) 2008 Elsevier Inc. All rights reserved.
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