Computational Model Library

Ants Digging Networks (1.0.0)

This is a NetLogo version of Buhl et al.’s (2005) model of self-organised digging activity in ant colonies. It was built for a master’s course on self-organisation and its intended use is still educational. The ants’ behavior can easily be changed by toggling switches on the interface, or, for more advanced students, there is R code included allowing the model to be run and analysed through RNetLogo.

VisibleAnts.png

Release Notes

This release contains the NetLogo model file, a model description following the ODD protocol, some informal results, and some R code to run & analyse the model through RNetLogo.

Associated Publications

Ants Digging Networks 1.0.0

Submitted by Elske van der Vaart Published Sep 14, 2018 Last modified Dec 05, 2024
self-organization ants network

This is a NetLogo version of Buhl et al.’s (2005) model of self-organised digging activity in ant colonies. It was built for a master’s course on self-organisation and its intended use is still educational. The ants’ behavior can easily be changed by toggling switches on the interface, or, for more advanced students, there is R code included allowing the model to be run and analysed through RNetLogo.

Release Notes

This release contains the NetLogo model file, a model description following the ODD protocol, some informal results, and some R code to run & analyse the model through RNetLogo.

Cite this Model

Elske van der Vaart (2018, September 14). “Ants Digging Networks” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://doi.org/10.25937/086z-1t29

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Contributors
Elske van der Vaart
DOI

10.25937/086z-1t29

Model Version
1.0.0
License
GPL-3.0
Programming Language
R NetLogo
Software Framework
R NetLogo
Operating System
Operating System Independent
Publish Date
Friday, September 14, 2018
Last Updated
Tuesday, April 16, 2019
Downloads 255
Peer Reviewed
Open Code Badge
Version Submitter First published Last modified Status
1.0.0 Elske van der Vaart Fri Sep 14 13:21:46 2018 Tue Apr 16 06:50:26 2019 Published Peer Reviewed DOI: 10.25937/086z-1t29

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