Abstract
Immune system is complex system which is composed of thousands entities interacting with each other. If we want to understand the immune system behavior, we can use the bottom-up approach investigating interactions occurring in the low-levels (e. g. molecular level) where particular biological entities exist. Multi-agent systems are bottom-up approach used for exploration of the immunity, but the complexity complicates clarifying immune processes. The paper investigates the Agent Modeling Language (AML) for conceptual modeling of particular immune properties and processes. T-cell dependent B-cell activation is used as the case study for finding out if the language can offer value added for conceptual modeling in computational immunology.
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Husáková, M. (2015). The Usage of the Agent Modeling Language for Modeling Complexity of the Immune System. In: Barbucha, D., Nguyen, N., Batubara, J. (eds) New Trends in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-319-16211-9_33
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DOI: https://doi.org/10.1007/978-3-319-16211-9_33
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16210-2
Online ISBN: 978-3-319-16211-9
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