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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Cascades across networks are sufficient for the formation of echo chambers: An agent-based model
Jan-Philipp Fränken | Published Monday, January 11, 2021An agent-based model of echo chamber formation employing a Bayesian Source Credibility cognitive architecture limiting interactions to a single cascade.
Co-evolution of mental models among socially learning agents
Garry Sotnik | Published Sunday, October 14, 2018The model simulates seven agents engaging in collective action and inter-network social learning. The objective of the model is to demonstrate how mental models of agents can co-evolve through a complex relationship among factors influencing decision-making, such as access to knowledge and personal- and group-level constraints.
John Q. Public (JQP): A Model of Political Judgment and Behavior
Sung-Youn Kim | Published Monday, March 14, 2011 | Last modified Saturday, April 27, 2013The model integrates major theories of political judgment and behavior within the classical cognitive paradigm embedded in the ACT-R cognitive architecture. It models preferences and beliefs of political candidates, parties, and groups.