Computational Model Library

Comparing agent-based models on experimental data of irrigation games (version 1.1.0)

We present different models relating to theories of human behavior and compare them to actual data collected during experiments on irrigation games with 80 individuals divided in 16 different groups. We run a total of 7 different model: from very simple ones involving 0 parameters (i.e. pure random, pure selfish and pure altruistic), to increasingly complex ones which include different type of agents, learning and other regarding preferences. By comparing the different models we find that the most comprehensive model of human behavior behaves not far from a model build ad-hoc on our dataset; remarkably we also find that a very simple model presenting a mix of random selfish, and altruistic agents does not perform much worse than the best performing models.

bheav_ex1.jpg

Release Notes

No release notes entered with this release.
Version Submitter First published Last modified Status
1.1.0 Jacopo A. Baggio Wed Jul 3 17:22:09 2013 Wed Jul 3 17:22:09 2013 Published
1.0.0 Jacopo A. Baggio Tue Jul 2 18:26:39 2013 Tue Jul 2 18:26:39 2013 Published

Discussion

Download
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.