Reducing complexity in an agent based reaction model-Benefits and limitations of simplifications in relation to run time and system level output.

Rhodes, D.M., Holcombe, M. and Qwarnstrom, E.E. orcid.org/0000-0003-4417-8663 (2016) Reducing complexity in an agent based reaction model-Benefits and limitations of simplifications in relation to run time and system level output. Biosystems, 147. pp. 21-27. ISSN 0303-2647

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2016 The Authors. Published by Elsevier Ireland Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Agent-based computational model; Complexity; Iterations; Limitations; Model reduction; Runtime; Scale
Dates:
  • Published: 11 June 2016
  • Accepted: 9 June 2016
  • Published: September 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Cardiovascular Science (Sheffield)
Funding Information:
FunderGrant number
BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCIL (BBSRC)BB/J009687/1
Depositing User: Symplectic Sheffield
Date Deposited: 07 Jul 2016 09:19
Last Modified: 24 Jul 2018 12:44
Published Version: http://dx.doi.org/10.1016/j.biosystems.2016.06.002
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.biosystems.2016.06.002
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