About the CoMSES Model Library more info
CoMSES Net maintains cyberinfrastructure to foster FAIR data principles for access to and (re)use of computational models. Model authors can publish their model code in the Computational Model Library with documentation, metadata, and data dependencies and support these FAIR data principles as well as best practices for software citation. Model authors can also request that their model code be peer reviewed to receive a DOI. All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model archive tutorial or contact us if you have any questions or concerns about archiving your model.
CoMSES Net also maintains a curated database of over 7500 publications of agent-based and individual based models with additional metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Evolution of Conditional Cooperation
Marco Janssen Miles Manning Oyita Udiani | Published Thu Aug 1 04:03:07 2013 | Last modified Fri May 13 22:07:23 2022Cultural group selection model used to evaluate the conditions for agents to evolve who have other-regarding preferences in making decisions in public good games.
Effect of communication in irrigation games
Marco Janssen Jacopo Baggio | Published Wed Jan 14 04:08:32 2015 | Last modified Wed Aug 9 01:28:22 2017The model includes different formulations how agents make decisions in irrigation games and this is compared with empirical data. The aim is to test different theoretical models, especially explaining effect of communication.
Irrigation game
Marco Janssen | Published Mon Jul 23 04:15:12 2012 | Last modified Sat Apr 27 20:18:37 2013Irrigation game calibrated on experimental data
Comparing agent-based models on experimental data of irrigation games
Jacopo Baggio Marco Janssen | Published Tue Jul 2 18:26:39 2013 | Last modified Wed Jul 3 17:22:09 2013Comparing 7 alternative models of human behavior and assess their performance on a high resolution dataset based on individual behavior performance in laboratory experiments.