Swarm-Based Spatial Sorting

dc.creatorAmos, Martyn
dc.creatorDon, Oliver
dc.date2008-05-12
dc.date.accessioned2026-07-07T09:38:26Z
dc.date.available2026-07-07T09:38:26Z
dc.descriptionPurpose: To present an algorithm for spatially sorting objects into an annular structure. Design/Methodology/Approach: A swarm-based model that requires only stochastic agent behaviour coupled with a pheromone-inspired "attraction-repulsion" mechanism. Findings: The algorithm consistently generates high-quality annular structures, and is particularly powerful in situations where the initial configuration of objects is similar to those observed in nature. Research limitations/implications: Experimental evidence supports previous theoretical arguments about the nature and mechanism of spatial sorting by insects. Practical implications: The algorithm may find applications in distributed robotics. Originality/value: The model offers a powerful minimal algorithmic framework, and also sheds further light on the nature of attraction-repulsion algorithms and underlying natural processes.
dc.descriptionAccepted by the Int. J. Intelligent Computing and Cybernetics
dc.identifierhttps://arxiv.org/abs/0805.1727
dc.identifierhttp://arxiv.org/abs/0805.1727
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/160804
dc.subjectArtificial Intelligence
dc.subjectMultiagent Systems
dc.titleSwarm-Based Spatial Sorting
dc.typetext

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