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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Value Chain Marketing (VCM)
Stephanie Hintze | Published Monday, April 14, 2014 | Last modified Thursday, October 16, 2014Inspired by the SKIN model, the basic concept here is to model the acceptance and implementation of supplier innovations. This model includes three types of agents comprising suppliers, manufacturers and applicators.
Political Participation
Didier Ruedin | Published Saturday, April 12, 2014 | Last modified Saturday, November 18, 2023Implementation of Milbrath’s (1965) model of political participation. Individual participation is determined by stimuli from the political environment, interpersonal interaction, as well as individual characteristics.
A model of urban expansion policy scenarios using an agent-based approach—a case of the Guangzhou Metropolitan Region of China
Guangjin Tian | Published Friday, March 21, 2014Three policy scenarios for urban expansion under the influences of the behaviours and decision modes of four agents and their interactions have been applied to predict the future development patterns of the Guangzhou metropolitan region.
Peer reviewed An agent-based model to identify management practices, integrity and performance in Kenya’s and Ghana’s Water Service Delivery
Georg Holtz Claudia Pahl-Wostl Francesc Bellaubi | Published Sunday, March 09, 2014 | Last modified Tuesday, July 15, 2014The ABM looks at how the performance of Water Service Delivery is affected by the relation between management practices and integrity in terms of transparency, accountability and participation
ManPest
François Rebaudo | Published Tuesday, February 25, 2014 | Last modified Wednesday, August 27, 2014The purpose of the model is to explore the impacts of global change on the ability of a community of farmers to adapt their practices to an agricultural pest.
AMMA: Agent-based Model of the Media Arena
Annie Waldherr | Published Tuesday, February 11, 2014The AMMA simulates how news waves emerge in the mass media. Drawing on the ideas of public arena models and issue-attention cycles, it represents fundamental principles of public communication in a virtual media system.
Concession Forestry Modeling
Andrew Bell Daniel G Brown Rick L Riolo Jacqueline M Doremus Thomas P Lyon John Vandermeer Arun Agrawal | Published Thursday, January 23, 2014A logging agent builds roads based on the location of high-value hotspots, and cuts trees based on road access. A forest monitor sanctions the logger on observed infractions, reshaping the pattern of road development.
Mobility USA (MUSA)
Giangiacomo Bravo Davide Natalini | Published Sunday, December 08, 2013 | Last modified Monday, December 30, 2013MUSA is an ABM that simulates the commuting sector in USA. A multilevel validation was implemented. Social network with a social-circle structure included. Two types of policies have been tested: market-based and preference-change.
How does the world population adapt its policies on energy when it is confronted with a climate change? This model combines a climate-economy model with adaptive agents.
This is the final version of the model. To simulate the normative dynamics we used the EmIL (EMergence In the Loop) Framework which was kindly provided by Ulf Lotzmann. http://cfpm.org/EMIL-D5.1.pdf
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