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Agent-Based Modelling in Multicellular Systems Biology

Agent-Based Modelling in Multicellular Systems Biology

Sara Montagna, Andrea Omicini
Copyright: © 2017 |Pages: 20
ISBN13: 9781522517566|ISBN10: 1522517561|EISBN13: 9781522517573
DOI: 10.4018/978-1-5225-1756-6.ch007
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MLA

Montagna, Sara, and Andrea Omicini. "Agent-Based Modelling in Multicellular Systems Biology." Multi-Agent-Based Simulations Applied to Biological and Environmental Systems, edited by Diana Francisca Adamatti, IGI Global, 2017, pp. 159-178. https://doi.org/10.4018/978-1-5225-1756-6.ch007

APA

Montagna, S. & Omicini, A. (2017). Agent-Based Modelling in Multicellular Systems Biology. In D. Adamatti (Ed.), Multi-Agent-Based Simulations Applied to Biological and Environmental Systems (pp. 159-178). IGI Global. https://doi.org/10.4018/978-1-5225-1756-6.ch007

Chicago

Montagna, Sara, and Andrea Omicini. "Agent-Based Modelling in Multicellular Systems Biology." In Multi-Agent-Based Simulations Applied to Biological and Environmental Systems, edited by Diana Francisca Adamatti, 159-178. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1756-6.ch007

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Abstract

This chapter aims at discussing the content of multi-agent based simulation (MABS) applied to computational biology i.e., to modelling and simulating biological systems by means of computational models, methodologies, and frameworks. In particular, the adoption of agent-based modelling (ABM) in the field of multicellular systems biology is explored, focussing on the challenging scenarios of developmental biology. After motivating why agent-based abstractions are critical in representing multicellular systems behaviour, MABS is discussed as the source of the most natural and appropriate mechanism for analysing the self-organising behaviour of systems of cells. As a case study, an application of MABS to the development of Drosophila Melanogaster is finally presented, which exploits the ALCHEMIST platform for agent-based simulation.

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