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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TransportVarese
Elena Vallino Elena Maggi | Published Tuesday, January 31, 2017 | Last modified Friday, August 04, 2017This ABM deals with commuting choices in the Italian city of Varese. Empirical data inform agents’ attitudes and modal choices costs and emissions. We evaluate ex ante the impact of policies for less polluting commuting choices.
Investor-based electricity market model
Oscar Kraan | Published Monday, January 02, 2017 | Last modified Friday, October 12, 2018The model is a representation of a liberalised electricity market designed as an energy-only market and consists of large scale investors and their power generation assets in the electricity market.
A simple agent-based spatial model of the economy
Bernardo Alves Furtado Isaque Daniel Rocha Eberhardt | Published Thursday, March 10, 2016 | Last modified Tuesday, November 22, 2016The modeling includes citizens, bounded into families; firms and governments; all of them interacting in markets for goods, labor and real estate. The model is spatial and dynamic.
MixFarm ABM Model
Leigh Anderson | Published Thursday, March 03, 2016MixFarmABM Model examines the competitiveness of second-generation biofuel crops with existing crops and beef cows at the farm level and their impact on the farm structure.
The Agent-Based Model of the Closed Market( similar to Stock Market) with One Commodity and with careful and risky mechanisms
Mark Voronovitsky | Published Sunday, March 15, 2015 | Last modified Sunday, March 22, 2015The model of market of one commodity , in which there are in each moment of time the same quantity and the same quantity of money was formulated and researched in this text. We also study this system as a game of automata.
MERCURY: an ABM of tableware trade in the Roman East
Tom Brughmans Jeroen Poblome | Published Thursday, September 25, 2014 | Last modified Friday, May 01, 2015MERCURY aims to represent and explore two descriptive models of the functioning of the Roman trade system that aim to explain the observed strong differences in the wideness of distributions of Roman tableware.
Adoption of conservation practices
Irem Daloglu | Published Monday, October 21, 2013This model is designed to investigate the impact of alternative policy approaches and changing land tenure dynamics on farmer adoption of conservation practices intended to increase the water quality.
Endogenous Dynamics of Housing Market Cycles
Onur Özgün Birnur Özbaş Yaman Barlas | Published Monday, September 09, 2013 | Last modified Wednesday, January 08, 2014The purpose of this model is to analyze the dynamics of endogenously created oscillations in housing prices using a system dynamics simulation model, built from the perspective of construction companies.
The various technologies used inside a Dutch greenhouse interact in combination with an external climate, resulting in an emergent internal climate, which contributes to the final productivity of the greenhouse. This model examines how differing technology development styles affects the overall ability of a community of growers to approach the theoretical maximum yield.
Alternative scenarios of green consumption in Italy: an empirically grounded model.
Giangiacomo Bravo Elena Vallino Alessandro K Cerutti Maria Beatrice Pairotti | Published Thursday, March 28, 2013 | Last modified Saturday, April 27, 2013We provide a full description of the model following the ODD protocol (Grimm et al. 2010) in the attached document. The model is developed in NetLogo 5.0 (Wilenski 1999).
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