About the CoMSES Model Library more info
Our mission is to help computational modelers develop, document, and share their computational models in accordance with community standards and good open science and software engineering practices. Model authors can publish their model source code in the Computational Model Library with narrative documentation as well as metadata that supports open science and emerging norms that facilitate software citation, computational reproducibility / frictionless reuse, and interoperability. Model authors can also request private peer review of their computational models. Models that pass peer review receive a DOI once published.
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 feel free to 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 detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
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06 EiLab V1.36 – Entropic Index Laboratory
Garvin Boyle | Published Saturday, January 31, 2015 | Last modified Friday, April 14, 2017EiLab explores the role of entropy in simple economic models. EiLab is one of several models exploring the dynamics of sustainable economics – PSoup, ModEco, EiLab, OamLab, MppLab, TpLab, and CmLab.
Peer reviewed Ideal Free Distribution of Mobile Pastoralists in the Logone Floodplain, Cameroon
Jeff Cronley Andrew Yoak Mark Moritz Hongyang Pi Ian M Hamilton Paul Maddock | Published Thursday, June 19, 2014 | Last modified Saturday, January 06, 2018The purpose of the model is to examine whether and how mobile pastoralists are able to achieve an Ideal Free Distribution (IFD).
A test-bed ecological model
Bruce Edmonds | Published Sunday, May 04, 2014 | Last modified Wednesday, May 15, 2019This is a multi-patch meta-population ecological model. It intended as a test-bed in which to test the impact of humans with different kinds of social structure.
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.
How does the world population adapt its policies on energy when it is confronted with a climate change? This model combines a climate-economy model with adaptive agents.
The purpose of the AdaptPumpa model is to analyze the robustness of the Pumpa irrigation system in Nepal to climate change.
Peer reviewed Swidden Farming Version 2.0
C Michael Barton | Published Wednesday, June 12, 2013 | Last modified Wednesday, September 03, 2014Model of shifting cultivation. All parameters can be controlled by the user or the model can be run in adaptive mode, in which agents innovate and select parameters.
Coupled Housing and Land Markets (CHALMS)
Nicholas Magliocca Virginia Mcconnell Margaret Walls | Published Friday, November 02, 2012 | Last modified Monday, October 27, 2014CHALMS simulates housing and land market interactions between housing consumers, developers, and farmers in a growing ex-urban area.
An agent-based model of adaptive cycles of the spruce budworm
Julia Schindler | Published Saturday, August 18, 2012 | Last modified Saturday, April 27, 2013This is an empirically calibrated agent-based model that replicates spruce-budworm outbreaks, one of the most cited adaptive cycles reported. The adaptive-cycle metaphor by L. H. Gunderson and C. S. Holling posits the cross-case existence of repeating cycles of growth, conservation, collapse, and renewal in many complex systems, triggered by loss of resilience. This model is one of the first agent-based models of such cycles, with the novelty that adaptive cycles are not defined by system- […]
Universal Darwinism in Dutch Greenhouses
Julia Kasmire | Published Wednesday, May 09, 2012 | Last modified Saturday, April 27, 2013An ABM, derived from a case study and a series of surveys with greenhouse growers in the Westland, Netherlands. Experiments using this model showshow that the greenhouse horticulture industry displays diversity, adaptive complexity and an uneven distribution, which all suggest that the industry is an evolving system.
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