About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models 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 publishing tutorial and contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 10 of 22 results variability clear search
Quality uncertainty and market failure
María Pereda David Poza José Ignacio Santos Martín José Manuel Galán | Published Wednesday, May 14, 2014 | Last modified Wednesday, April 25, 2018Quality uncertainty and market failure: an interactive model to conduct classroom experiments
Population aggregation in ancient arid environments
Marco Janssen | Published Tuesday, May 04, 2010 | Last modified Saturday, April 27, 2013The purpose of this model is to help understand how prehistoric societies adapted to the prehistoric American southwest landscape. In the American southwest there is a high degree of environmental var
TechNet_04: Cultural Transmission in a Spatially-Situated Network
Andrew White | Published Monday, October 08, 2012 | Last modified Saturday, April 27, 2013The TechNet_04 is an abstract model that embeds a simple cultural tranmission process in an environment where interaction is structured by spatially-situated networks.
ManPest
François Rebaudo | Published Tuesday, February 25, 2014 | Last modified Wednesday, August 27, 2014The purpose of the model is to explore the impacts of global change on the ability of a community of farmers to adapt their practices to an agricultural pest.
MayaSim: An agent-based model of the ancient Maya social-ecological system
Scott Heckbert | Published Wednesday, July 11, 2012 | Last modified Tuesday, July 02, 2013MayaSim is an agent-based, cellular automata and network model of the ancient Maya. Biophysical and anthropogenic processes interact to grow a complex social ecological system.
CRESY-I stands for CREativity from a SYstems perspetive, Model I. This is the base model in a series designed to describe a systems approach to creativity in terms of variation, selection and retention (VSR) subprocesses.
Simulating the evolution of the human family
Paul Smaldino | Published Wednesday, November 29, 2017The (cultural) evolution of cooperative breeding in harsh environments.
The Evolution of Cooperation in an Ecological Context
Oyita Udiani | Published Saturday, November 03, 2012 | Last modified Saturday, April 27, 2013This is a replication of the altruistic trait selection model described in Pepper & Smuts (2000, 2002).
The purpose of the AdaptPumpa model is to analyze the robustness of the Pumpa irrigation system in Nepal to climate change.
Displaying 10 of 22 results variability clear search