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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MoPAgrIB: simulating savannah landscape mosaic under shifting cultivation
Nicolas Becu Marc Deconchat Eric Garine Kouami Kokou Christine Raimond | Published Monday, May 27, 2013 | Last modified Tuesday, January 21, 2014MoPAgrIB model simulates the movement of cultivated patches in a savannah vegetation mosaic ; how they move and relocate through the landscape, depending on farming practices, population growth, social rules and vegetation growth.
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- […]
Chiefdoms and Structural Resilience to Stress
Wendy Cegielski | Published Monday, December 13, 2010 | Last modified Saturday, April 27, 2013Original model of chiefdom modeled in terms of a hierarchical, scale-free network
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