Agent-based Modelling in Multicellular Systems Biology


Sara Montagna, Andrea Omicini

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.

Publication

— 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

URLs

original page

identifiers

— DOI

10.4018/978-1-5225-1756-6.ch007

— IRIS

11585/586460

— Scopus

2-s2.0-85018569036

— 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

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