Systems dynamics or agent-based modelling for immune simulation?

Figueredo, Grazziela P.; Aickelin, Uwe; Siebers, Peer-Olaf

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 simulation models between approaches. With no explicit guidelines available from the literature we develop and test our own set of guidelines for converting SDS 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.

Citation

Figueredo, G. P., Aickelin, U., & Siebers, P.-O. (2011, July). Systems dynamics or agent-based modelling for immune simulation?. Presented at 10th International Conference, ICARIS 2011, Cambridge, UK

• Presentation Conference Type: Edited Proceedings
• Conference Name: 10th International Conference, ICARIS 2011
• Start Date: Jul 18, 2011
• End Date: Jul 21, 2011
• Publication Date: Jan 1, 2011
• Deposit Date: Jun 24, 2013
• Publicly Available Date: Jun 24, 2013
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 81–94
• Series Title: Lecture notes in computer science
• Series Number: 1611-3349
• Series ISSN: 6825
• Book Title: Artificial immune systems
• ISBN: 978-3-642-22370-9
• DOI: https://doi.org/10.1007/978-3-642-22371-6_10
• Public URL: https://nottingham-repository.worktribe.com/output/1010629
• Publisher URL: http://link.springer.com/chapter/10.1007/978-3-642-22371-6_10