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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Best Practices for Civic Collaboration
Wei Zhong | Published Saturday, December 20, 2008 | Last modified Saturday, April 27, 2013This is a modified version (Netlogo 4.0.3) of the model in support of Erik Johnstons dissertation, programmed in Netlogo 3.1.4 (May 15th, 2007).
Metaphoria 2019 eternal fitness test
Timothy Gooding | Published Sunday, February 24, 2019This is a modification of Metaphoria 2019 so that the eternal population is subjected to all the evolutionary forces as the mortal population.
Evacuation of the city of Rouen using the GAMA advanced driving skill
Guillaume Czura Patrick Taillandier Pierrick Tranouez Eric Daudé | Published Thursday, April 25, 2019Model that illustrates the use of the GAMA advanced driving skill through a case study concerning the evacuation of the city of Rouen (France).
Peer reviewed INOvCWD
Aniruddha Belsare | Published Wednesday, June 01, 2022 | Last modified Wednesday, July 10, 2024INOvCWD is a spatially-explicit, agent-based model designed to simulate the spread of chronic wasting disease (CWD) in Indiana’s white-tailed deer populations.
FLOSSSim: An Agent-Based Model of the Free/Libre Open Source Software (FLOSS) Development Process
Nicholas Radtke | Published Saturday, December 31, 2011 | Last modified Saturday, April 27, 2013An agent-based model of the Free/Libre Open Source Software (FLOSS) development process designed around agents selecting FLOSS projects to contribute to and/or download.
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).
Environmental uncertainty affects the optimal structure of information-sharing networks
Marco Janssen Takao Sasaki Zachary Joseph Shaffer Stephen Pratt | Published Monday, March 16, 2015We used a computer simulation to measure how well different network structures (fully connected, small world, lattice, and random) find and exploit resource peaks in a variable environment.
Influence with over-confident agents
Juliette Rouchier Emily Tanimura | Published Wednesday, October 21, 2015Agents can influence each other if they are close enough in knowledge. The probability to convince with good knowledge and number of agents have an impact on the dissemination of knowledge.
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.
Demand Planning Model
Iris Lorscheid Jonas Hauke Matthias Meyer | Published Wednesday, October 04, 2017Demand planning requires processing of distributed information. In this process, individuals, their properties and interactions play a crucial role. This model is a computational testbed to investigate these aspects with respect to forecast accuracy.
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