Directing chemotaxis-based spatial self-organisation via biased, random initial conditions. Issue 4 (4th July 2019)

• Record Type: Journal Article
• Authors: Grimes, Sean; Bai, Linge; McDonald, Andrew W.E.; Breen, David E.
• Is Part Of: International journal of parallel, emergent and distributed systems. Volume 34:Issue 4(2019)
• Page Start: 380
• Page End: 399
• Publication Date: 2019-07-04
• Subjects: Spatial self-organisation -- directed emergence -- genetic programming -- agent-based system -- statistical moments; Parallel computers -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Computer algorithms -- Periodicals; 004.35
• DOI: 10.1080/17445760.2018.1469630
• Languages: English
• ISSNs: 1744-5760

Abstract

ABSTRACT: 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.