d'Inverno, Mark and Saunders, Rob (2005) Agent-based modelling of stem cell self-organisation in a niche. In: Brueckner, Sven A. and Serugendo, Giovanna Di Marzo and Karageorgos, Anthony and Nagpal, Radhika, (eds.) Engineering self-organising systems: methodologies and applications. Lecture Notes in Computer Science (3464). Springer, Berlin, Germany, pp. 52-68. ISBN 354026180X
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Official URL: http://dx.doi.org/10.1007/11494676_4
It is our belief that modelling the behaviour of stem cells in the adult human body as an agent-based system is the most appropriate way of understanding the process of self-organisation. We have undertaken several case studies where formal and/or computational models of stem cell systems, have been re-developed using an agent-based approach. This paper presents details of one of these case studies where we have used an agent-based approach as opposed to a cellular automata approach. A formalisation of the non-agent and agent-based approach is given, and from the results of this investigation, we aim to demonstrate the advantages of the agent-based approach for developing biologically plausible models with emergent self-organising dynamics. The aim of this paper first to discuss the importance of modelling and simulating stem cells, because of certain experimental limitations, but also to demonstrate that the multi-agent approach to modelling is the most appropriate.
|Item Type:||Book Section|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||06 Jul 2006|
|Last Modified:||20 Oct 2009 15:04|
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