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Modelling complex biological systems using an agent-based approach
journal contribution
posted on 2017-05-12, 10:18 authored by Mike Holcombe, Salem Adra, Mesude Bicak, Shawn Chin, Simon Coakley, Alison I. Graham, Jeffery Green, Chris Greenough, Duncan Jackson, Mariam Kiran, Sheila MacNeil, Afsaneh Maleki-Dizaji, Phil McMinn, Mark Pogson, Robert Poole, Eva Qwarnstrom, Francis Ratnieks, Matthew D. Rolfe, Rod Smallwood, Tao SunTao Sun, David WorthMany of the complex systems found in biology are comprised of numerous components, where interactions between individual agents result in the emergence of structures and function, typically in a highly dynamic manner. Often these entities have limited lifetimes but their interactions both with each other and their environment can have profound biological consequences. We will demonstrate how modelling these entities, and their interactions, can lead to a new approach to experimental biology bringing new insights and a deeper understanding of biological systems.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Chemical Engineering
Published in
Integr. Biol.Volume
4Issue
1Pages
53 - 64Citation
HOLCOMBE, M. ... et al, 2012. Modelling complex biological systems using an agent-based approach. Integrative Biology 4 (1), pp.53-64Publisher
© Royal Society of ChemistryVersion
- NA (Not Applicable or Unknown)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2012Notes
This paper is Closed Access.ISSN
1757-9694eISSN
1757-9708Publisher version
Language
- en