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Figueredo, Grazziela P., Siebers, Peer-Olaf, Aickelin, Uwe and Foan, Stephanie (2012) A beginner's guide to systems simulation in immunology. In: Artificial immune systems: 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012: proceedings. Lecture notes in computer science (7597). Springer, Berlin, pp. 57-71. ISBN 9783642337574

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Abstract

Some common systems modelling and simulation approaches for immune problems are Monte Carlo simulations, system dynamics, discrete-event simulation and agent-based simulation. These methods, however, are still not widely adopted in immunology research. In addition, to our knowledge, there is few research on the processes for the development of simulation models for the immune system. Hence, for this work, we have two contributions to knowledge. The first one is to show the importance of

systems simulation to help immunological research and to draw the attention of simulation developers to this research field. The second contribution is the introduction of a quick guide containing the main steps for modelling and simulation in immunology, together with challenges that occur during the model development. Further, this paper introduces an example of a simulation problem, where we test our guidelines.

Item Type:	Book Section
RIS ID:	https://nottingham-repository.worktribe.com/output/1008699
Additional Information:	Paper presented at: 11th International Conference on Artificial Immune Systems, ICARIS 2012, Taormina, Italy, 28-31 August 2012.
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User:	Aickelin, Professor Uwe
Date Deposited:	19 Jun 2013 08:07
Last Modified:	04 May 2020 20:22
URI:	https://eprints.nottingham.ac.uk/id/eprint/2032

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