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Directing chemotaxis-based spatial self-organisation via biased, random initial conditions
Journal article   Peer reviewed

Directing chemotaxis-based spatial self-organisation via biased, random initial conditions

Sean Grimes, Linge Bai, Andrew W.E. McDonald and David E. Breen
International journal of parallel, emergent and distributed systems, v 34(4), pp 380-399
04 Jul 2019
DOI: https://doi.org/10.1080/17445760.2018.1469630
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

agent-based system directed emergence genetic programming Spatial self-organisation statistical moments
Inspired by the chemotaxis interaction of living cells, we have developed an agent-based approach for self-organising shape formation. Since all our simulations begin with a different uniform random configuration and our agents move stochastically, it has been observed that the self-organisation process may form two or more stable final configurations. These differing configurations may be characterised via statistical moments of the agents' locations. In order to direct the agents to robustly form one specific configuration, we generate biased initial conditions whose statistical moments are related to moments of the desired configuration. With this approach, we are able to successfully direct the aggregating swarms to produce a desired macroscopic shape, starting from randomised initial conditions with controlled statistical properties.

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Computer Science, Theory & Methods
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