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Study

Self-organized shortcuts in the Argentine ant

Goss, Simon; Aron, Serge; Deneubourg, Jean-Louis; Pasteels, Jacques M.

Naturwissenschaften, 1989

Peer-reviewedcontrolled laboratory experimentlaboratory

A colony was connected to a food source by a bridge that split into two branches of different lengths, and the proportion of ants using each branch over time was recorded.

Studied in
Linepithema humile
Sample size
colony-level trials

Ants converged almost entirely on the shorter branch within minutes, because ants taking it returned sooner and reinforced its pheromone trail faster.

What it means

The authors' reading, and ours. Where they differ, that difference is the point.

How the authors put it

Shortest-path selection emerges from simple local rules and trail reinforcement, with no individual comparing the routes.

How NatureHQ reads it

The single best demonstration that colony-level problem solving needs no clever individuals. No ant measures anything; the shorter path simply accumulates pheromone faster, and the colony behaves as though it chose. This experiment also gave computer science ant colony optimisation, which is now used in real routing problems.

  • One species with strong trail-laying behaviour.
  • Simple geometry; ants perform less well on some other bridge configurations.
  • Colony-level result; individual behaviour is inferred from the aggregate.
  • The double bridge

    How does an ant colony find the shortest route to food when no individual ant can compare the options?

What this study is used for on NatureHQ

One study can inform several subjects. Here is everywhere this one is cited.

Published by: Springer journalsPublished in a Springer journal.

doi.org/10.1007/bf00462870

This reference was resolved automatically against Crossref and OpenAlex on 2026-08-11.

NatureHQ summarises research in its own words and does not reproduce published text. Reviewed 2026-08-09.