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arxiv: 0805.1727 · v1 · submitted 2008-05-12 · 💻 cs.AI · cs.MA

Swarm-Based Spatial Sorting

classification 💻 cs.AI cs.MA
keywords algorithmnaturesortingannularattraction-repulsionimplicationsmechanismmodel
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Purpose: 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.

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