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.
Displaying 3 of 33 results perception clear search
In-group favoritism due to friend selection strategies based on fixed tag and within-group reputation
Yutaka Nakai | Published Friday, March 28, 2014 | Last modified Friday, March 28, 2014An agent-based model simulates emergence of in-group favoritism. Agents adopt friend selection strategies using an invariable tag and reputations meaning how cooperative others are to a group. The reputation can be seen as a kind of public opinion.
TELL ME: protective behaviour in an epidemic
Jennifer Badham | Published Tuesday, February 10, 2015Models the connection between health agency communication, personal protective behaviour (eg vaccination, hand hygiene) and influenza transmission.
A Computational Model of Workers Protest
Jae-Woo Kim | Published Friday, May 13, 2011 | Last modified Saturday, April 27, 2013We present an agent-based model of worker protest informed by Epstein (2002). Workers have varying degrees of grievance depending on the difference between their wage and the average of their neighbors. They protest with probabilities proportional to grievance, but are inhibited by the risk of being arrested – which is determined by the ratio of coercive agents to probable rebels in the local area. We explore the effect of similarity perception on the dynamics of collective behavior. If […]
Displaying 3 of 33 results perception clear search