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Agent-Based Modelling of Stem Cell Self-organisation in a Niche

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Engineering Self-Organising Systems (ESOA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3464))

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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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Author information

Authors and Affiliations

  1. Cavendish School of Computer Science, University of Westminster, 115 New Cavendish Street, London, W1M 8JS

    Mark d’Inverno & Rob Saunders

Authors
  1. Mark d’Inverno
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  2. Rob Saunders
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Editor information

Editors and Affiliations

  1. NewVectors, 3520 Green Court, Suite 250, MI 48105, Ann Arbor, USA

    Sven A. Brueckner

  2. School of Computer Science and Information Systems, Birkbeck College London,  

    Giovanna Di Marzo Serugendo

  3. Department of Computer and Communication Engineering, University of Thessaly, 37 Glavani, 28th October Str., Deligiorgi Building, 4th floor, room D3/4, 382 21, Volos, Greece

    Anthony Karageorgos

  4. Division of Engineering and Applied Sciences, Computer Science Dept., Harvard University, 235 Maxwell Dworkin, 33 Oxford Street, MA 02138, Cambridge, USA

    Radhika Nagpal

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© 2005 Springer-Verlag Berlin Heidelberg

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d’Inverno, M., Saunders, R. (2005). Agent-Based Modelling of Stem Cell Self-organisation in a Niche. In: Brueckner, S.A., Di Marzo Serugendo, G., Karageorgos, A., Nagpal, R. (eds) Engineering Self-Organising Systems. ESOA 2004. Lecture Notes in Computer Science(), vol 3464. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494676_4

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  • DOI: https://doi.org/10.1007/11494676_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26180-3

  • Online ISBN: 978-3-540-31901-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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