Agent-based Modelling in Multicellular Systems Biology
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Diana Francisca Adamatti (eds.)
Multi-Agent Based Simulations Applied to Biological and Environmental Systems, chapter 7, pages 159-178
Advances in Computational Intelligence and Robotics (ACIR)
IGI Global
February 2017
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 agent-based simulation platform. |
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— authors
— editors
Diana Francisca Adamatti
— status
published
— sort
book chapter
— publication date
February 2017
— volume
Multi-Agent Based Simulations Applied to Biological and Environmental Systems
— series
Advances in Computational Intelligence and Robotics (ACIR
)
— chapter
7
— pages
159-178
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— DOI
10.4018/978-1-5225-1756-6.ch007
— IRIS
— Scopus
— print ISSN
2327-0411
— online ISSN
2327-042X
— print ISBN
978-1-5225-1756-6
— online ISBN
978-1-5225-1757-3
— ISBN–10
1-5225-1756-1