ArticlePLoS computational biology2018
Self-organized traffic via priority rules in leaf-cutting ants.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Analysis of emergent patterns in crossing flows of pedestrians reveals an invariant of 'stripe' formation in human data.PLoS computational biology · 2022Article
- Attraction, Dynamics, and Phase Transitions in Fire Ant Tower-Building.Frontiers in robotics and AI · 2020Article
- Infrastructure construction without information exchange: the trail clearing mechanism in Atta leafcutter ants.Proceedings. Biological sciences · 2019Article
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Ants, termites and humans often form well-organized and highly efficient trails between different locations. Yet the microscopic traffic rules responsible for this organization and efficiency are not fully understood. In previous experimental studies with leaf-cutting ants (Atta colombica), a set of local priority rules were isolated and it was proposed that these rules govern the temporal and spatial organization of the traffic on the trails. Here we introduce a model based on these priority rules to investigate whether they are sufficient to produce traffic similar to that observed in the experiments on both a narrow and a wider trail. We establish that the model is able to reproduce key characteristics of the traffic on the trails. In particular, we show that the proposed priority rules induce de-synchronization into clusters of inbound and outbound ants on a narrow trail, and that priority-type dependent segregated traffic emerges on a wider trail. Due to the generic nature of the proposed priority rules we speculate that they may be used to model traffic organization in a variety of other ant species.
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