| Chapter title | Agent-based modelling of stem cell self-organisation in a niche |
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| Authors | d'Inverno, M. and Saunders, R. |
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| Editors | Brueckner, S.A., Serugendo, G.D.M., Karageorgos, A. and Nagpal, R. |
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| Abstract | 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. |
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| Book title | Engineering self-organising systems: methodologies and applications |
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| Year | 2005 |
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| Publisher | Springer |
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| Publication dates |
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| Published | 2005 |
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| Place of publication | Berlin, Germany |
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| Series | Lecture Notes in Computer Science |
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| ISBN | 354026180X |
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| Digital Object Identifier (DOI) | https://doi.org/10.1007/11494676_4 |
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| Journal citation | (3464), pp. 52-68 |
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