Computational Model Library

Dawkins Weasel (1.0.0)

Dawkins Weasel is a NetLogo model that illustrates the principle of cumulative selection. Inspired by Richard Dawkins’s thought experiment in The Blind Watchmaker (1986), the model contrasts random change with selection that preserves partial improvements.

The model evolves a string of characters toward a user-defined target phrase, allowing users to explore how mutation rate, number of offspring, and the presence or absence of selection affect the speed and likelihood of convergence. It was created for use in biology classrooms to support instruction on evolutionary mechanisms and common misconceptions about randomness and selection.

Screenshot v1.2.0.png

Release Notes

This model is compatible with NetLogo 6.1.1.

Associated Publications

This release is out-of-date. The latest version is 1.2.0

Dawkins Weasel 1.0.0

Dawkins Weasel is a NetLogo model that illustrates the principle of cumulative selection. Inspired by Richard Dawkins’s thought experiment in The Blind Watchmaker (1986), the model contrasts random change with selection that preserves partial improvements.

The model evolves a string of characters toward a user-defined target phrase, allowing users to explore how mutation rate, number of offspring, and the presence or absence of selection affect the speed and likelihood of convergence. It was created for use in biology classrooms to support instruction on evolutionary mechanisms and common misconceptions about randomness and selection.

Release Notes

This model is compatible with NetLogo 6.1.1.

Version Submitter First published Last modified Status
1.2.0 Kristin Crouse Wed Jan 28 21:56:23 2026 Wed Jan 28 21:58:09 2026 Published
1.1.0 Kristin Crouse Tue Feb 4 04:57:14 2020 Wed Jan 28 21:58:06 2026 Published Peer Reviewed DOI: 10.25937/gnyf-ej33
1.0.2 Kristin Crouse Thu Nov 21 08:31:23 2019 Wed Jan 28 21:58:04 2026 Published
1.0.1 Kristin Crouse Thu Nov 21 08:14:52 2019 Wed Jan 28 21:58:04 2026 Published
1.0.0 Kristin Crouse Thu Feb 8 20:23:22 2018 Wed Jan 28 21:58:05 2026 Published

Discussion

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept