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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Optimal Trading Strategies of Agents in a Population of Firms: An Agent-Based Approach to Soccer Transfer Markets
Kehinde Salau | Published Tuesday, December 16, 2008 | Last modified Saturday, April 27, 2013Default Initial skill, read ODD for more info. The purpose of the model presented by Salau is to study the ’player profit vs. club benefit’ dilemma present in professional soccer organizations.
REHAB: A Role Playing Game to Explore the Influence of Knowledge and Communication on Natural Resources Management
Christophe Le Page Anne Dray Pascal Perez Claude Garcia | Published Monday, July 13, 2015 | Last modified Monday, July 13, 2015REHAB has been designed as an ice-breaker in courses dealing with ecosystem management and participatory modelling. It helps introducing the two main tools used by the Companion Modelling approach, namely role-playing games and agent-based models.
A Model of Iterated Ultimatum game
Andrea Scalco | Published Tuesday, February 24, 2015 | Last modified Monday, March 09, 2015The simulation generates two kinds of agents, whose proposals are generated accordingly to their selfish or selfless behaviour. Then, agents compete in order to increase their portfolio playing the ultimatum game with a random-stranger matching.
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