Social Insect Colonies as Complex Adaptive Systems

Eric Bonabeau

Working Papers from Santa Fe Institute

Abstract: Self-organizing maps (SOM) are unsupervised, competitive neural networks used to project high-dimensional data onto a low-dimensial space. In this article we show how SOM can be sued to draw graphs in the plane. The SOM-based approach to graph drawing, which belongs to the general class of force-directed algorithms, allows the drawing of arbitrary weighted graphs. It is particularly efficient to draw large graphs and can be used as a preprocessing step before application of a more sophisticated method.

To appear in: Ecosystems.

Keywords: Social insects; self-organization; complex adaptive systems; template stigmergy; collective behavior (search for similar items in EconPapers)
Date: 1998-07
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Persistent link: https://EconPapers.repec.org/RePEc:wop:safiwp:98-07-067

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