Modelling complex biological systems using an agent-based approach

Abstract:

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.

SEEK ID: https://fairdomhub.org/publications/200

PubMed ID: 22052476

Projects: SUMO

Journal: Integr Biol (Camb)

Citation:

Date Published: 2012

Authors: Michael Holcombe, Salem Adra, Mesude Bicak, Shawn Chin, Simon Coakley, Alison Graham, Jeff Green, Chris Greenough, Duncan Jackson, Mariam Kiran, Sheila MacNeil, Afsaneh Maleki-Dizaji, Phil McMinn, Mark Pogson, Robert Poole, Eva Qwarnstrom, Francis Ratnieks, Matthew Rolfe, Rod Smallwood, Tao Sun, David Worth

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Created: 14th Jan 2013 at 18:21

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