Systems dynamics or agent-based modelling for immune simulation?

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Figueredo, Grazziela P., Aickelin, Uwe and Siebers, Peer-Olaf (2011) Systems dynamics or agent-based modelling for immune simulation? In: Artificial immune systems: 10th international conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011: proceedings. Lecture notes in computer science (6825). Springer, Heidelberg, pp. 81-94. ISBN 9783642223716

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Abstract

In immune system simulation there are two competing simulation approaches: System Dynamics Simulation (SDS) and Agent-Based Simulation (ABS). In the literature there is little guidance on how to choose the best approach for a specific immune problem. Our overall research aim is to develop a framework that helps researchers with this choice.

In this paper we investigate if it is possible to easily convert simulationmodels between approaches. With no explicit guidelines available fromthe literature we develop and test our own set of guidelines for convertingSDS models into ABS models in a non-spacial scenario. We also define

guidelines to convert ABS into SDS considering a non-spatial and a spatial scenario. After running some experiments with the developed models we found that in all cases there are significant differences between the

results produced by the different simulation methods.

Item Type: Book Section
RIS ID: https://nottingham-repository.worktribe.com/output/1010629
Additional Information: The final publication is available at link.springer.com
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1007/978-3-642-22371-6_10
Depositing User: Aickelin, Professor Uwe
Date Deposited: 24 Jun 2013 08:31
Last Modified: 08 Nov 2024 14:54
URI: https://eprints.nottingham.ac.uk/id/eprint/2030

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