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.
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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.
Social Nets Emergence Model
Di Wang | Published Wednesday, March 21, 2012 | Last modified Saturday, April 27, 2013This model simulates the interactions and dynamic trust changes between people which results in social group emergence and evolution.
Societal Simulator v203
Tim Gooding | Published Tuesday, October 01, 2013 | Last modified Friday, November 28, 2014Designed to capture the evolutionary forces of global society.
Thoughtless conformity and spread of norms in an artificial society
Muhammad Azfar Nisar | Published Tuesday, May 27, 2014This model is based on Joshua Epstein’s (2001) model on development of thoughtless conformity in an artificial society of agents.
Obligation norm identification in multi-agent societies
Tony Savarimuthu | Published Tuesday, June 29, 2010 | Last modified Saturday, April 27, 2013This model describes a mechanism by which software agents can identify norms in an artificial agent society. In particular, this model uses a sequence mining approach to identify norms in an agent soc
Ring Around the Kula: The Influence of Ceremonial Exchange on Network Formation
Andrea Tovinen | Published Tuesday, December 16, 2008 | Last modified Saturday, April 27, 2013The purpose of the model is to examine the strength of network connections in a ceremonial exchange network in a non-hierarchical society.
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