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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Simulating the Cinema Market: How Cross-Cultural Differences in Social Influence Explain Box Office Distributions
Sebastiano Delre | Published Thursday, February 11, 2010 | Last modified Saturday, April 27, 2013This model simulates the motion picture industry and tests how social influences affect market shares. It is empirically validated at the micro level by a cross-cultural survey.
Replicating the Macy & Sato Model: Trust, Cooperation and Market Formation in the U.S. and Japan
Oliver Will | Published Saturday, August 29, 2009 | Last modified Saturday, April 27, 2013A replication of the model “Trust, Cooperation and Market Formation in the U.S. and Japan” by Michael W. Macy and Yoshimichi Sato.
Environmental knowledge inhibits hominin dispersal
Colin Wren | Published Thursday, November 09, 2017Local scale mobility, namely foraging, leads to global population dispersal. Agents acquire information about their environment in two ways, one individual and one social. See also http://www.openabm.org/model/3846/
A Mathematical Model of The Beer Game Coded in R for Verification
Mert Edali Hakan Yasarcan | Published Wednesday, November 05, 2014This is the R code of the mathematical model used for verification. This code corresponds to equations 1-9, 15-53, 58-62, 69-70, and 72-75 given in the paper “A Mathematical Model of The Beer Game”.
A model to explore the link between the gender-gap reversal in education and relative divorce risks
André Grow Christine Schnor Jan Van Bavel | Published Thursday, June 30, 2016 | Last modified Wednesday, September 13, 2017This model explores a social mechanism that links the reversal of the gender gap in education with changing patterns in relative divorce risks in 12 European countries.
Seasonal Social Networks and Learning Opportunities Under Unbiased Cultural Transmission
Adam Rorabaugh | Published Monday, May 18, 2015This agent-based model examines the impact of seasonal aggregation, dispersion, and learning opportunities on the richness and evenness of artifact styles under random social learning (unbiased transmission).
Simulation of the Long-term Effects of Decentralized and Adaptive Investments in Cross-agency Interoperable and Standard Systems
Sungho Lee | Published Sunday, May 10, 2009 | Last modified Saturday, April 27, 2013Agent-based model using Blanche software 4.6.5. Blanche software is included in the dataset file.
Peer reviewed Artificial Anasazi
Marco Janssen | Published Tuesday, September 07, 2010 | Last modified Saturday, April 27, 2013Replication of the well known Artificial Anasazi model that simulates the population dynamics between 800 and 1350 in the Long House Valley in Arizona.
Displaying 8 of 418 results social clear