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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 Worth
Many 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

4

Issue

1

Pages

53 - 64

Citation

HOLCOMBE, M. ... et al, 2012. Modelling complex biological systems using an agent-based approach. Integrative Biology 4 (1), pp.53-64

Publisher

© Royal Society of Chemistry

Version

  • 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

2012

Notes

This paper is Closed Access.

ISSN

1757-9694

eISSN

1757-9708

Language

  • en

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