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 73 results Simulations clear search
Spatiotemporal Visualization of Emotional and Emotional-related Mental States
Luis Macedo | Published Monday, November 07, 2011 | Last modified Saturday, April 27, 2013A system that receives from an agent-based social simulation the agent’s emotional data, their emotional-related data such as motivations and beliefs, as well as their location, and visualizes of all this information in a two dimensional map of the geographic region the agents inhabit as well as on graphs along the time dimension.
The Evolution of Multiple Resistant Strains: An Abstract Model of Systemic Treatment and Accumulated Resistance
Benjamin Nye | Published Wednesday, August 31, 2011 | Last modified Saturday, April 27, 2013This model is intended to explore the effectiveness of different courses of interventions on an abstract population of infections. Illustrative findings highlight the importance of the mechanisms for variability and mutation on the effectiveness of different interventions.
SBH trust model
Di Wang | Published Tuesday, December 14, 2010 | Last modified Saturday, April 27, 2013This is a computational model to articulate the theory and test some assumption and axioms for the trust model and its relationship to SBH.
Displaying 3 of 73 results Simulations clear search