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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A consumer-demand simulation for Smart Metering tariffs (Innovation Diffusion)
Martin Rixin | Published Thursday, August 18, 2011 | Last modified Saturday, April 27, 2013An Agent-based model simulates consumer demand for Smart Metering tariffs. It utilizes the Bass Diffusion Model and Rogers´s adopter categories. Integration of empirical census microdata enables a validated socio-economic background for each consumer.
The Pampas Model: An agent-based model of agricultural systems in the Argentinean Pampas
Federico Bert Guillermo P Podestá Santiago L Rovere Michael North Charles Macal | Published Tuesday, July 16, 2013 | Last modified Tuesday, February 17, 2015The Pampas Model is an Agent-Based Model intended to explore the dynamics of structural and land use changes in agricultural systems of the Argentine Pampas in response to climatic, technological economic, and political drivers.
9 Maturity levels in Empirical Validation - An innovation diffusion example
Martin Rixin | Published Wednesday, October 19, 2011 | Last modified Saturday, April 27, 2013Several taxonomies for empirical validation have been published. Our model integrates different methods to calibrate an innovation diffusion model, ranging from simple randomized input validation to complex calibration with the use of microdata.
Replication and extensions of the Classes Model
D Poza | Published Thursday, September 24, 2009 | Last modified Saturday, April 27, 2013The Classes Model with one agent type
Displaying 4 of 14 results validation clear