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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The relationship between product information quantity and diversity of consumer decisions
Marco Janssen Takao Sasaki David Vaughn Becker Rebecca Neel | Published Tuesday, October 27, 2015We developed an agent-based model to explore underlying mechanisms of behavioral clustering that we observed in human online shopping experiments.
The emergence of tag-mediated altruism in structured societies
David Hales Shade Shutters | Published Tuesday, January 20, 2015 | Last modified Thursday, March 02, 2023This abstract model explores the emergence of altruistic behavior in networked societies. The model allows users to experiment with a number of population-level parameters to better understand what conditions contribute to the emergence of altruism.
DITCH --- A Model of Inter-Ethnic Partnership Formation
Ruth Meyer Laurence Lessard-Phillips Huw Vasey | Published Wednesday, November 05, 2014 | Last modified Tuesday, February 02, 2016The DITCH model has been developed to investigate partner selection processes, focusing on individual preferences, opportunities for contact, and group size to uncover how these may lead to differential rates of inter-ethnic marriage.
This is the R code of the mathematical model that includes the decision making formulations for artificial agents. Plus, the code for graphical output is also added to the original code.
A Mathematical Model of The Beer Game Coded in R for Verification
Hakan Yasarcan Mert Edali | 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 Mathematical Model of The Beer Game
Hakan Yasarcan Mert Edali | Published Wednesday, November 05, 2014This is the R code of the mathematical model that includes the decision making formulations for artificial agents. This code corresponds to equations 1-70 given in the paper “A Mathematical Model of The Beer Game”.
Emerging innovation niches model
Antonio Lopolito Richard Taylor Piergiuseppe Morone | Published Monday, September 22, 2014Objective of our model is to simulate the emergence and operation of a technological niches (TN) in terms of actors’ interaction. A TN can be conceived as protected socio-economic space where radical innovations are developed and tested
Informal City version 1.0
Nina Schwarz | Published Friday, July 25, 2014 | Last modified Thursday, July 30, 2015InformalCity, a spatially explicit agent-based model, simulates an artificial city and allows for testing configurations of urban upgrading schemes in informal settlements.
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.
NetLogo-R-Example for the Inititialisation of Agents with Correlated Random Numbers
Danilo Saft | Published Friday, February 14, 2014 | Last modified Monday, April 08, 2019This is a short NetLogo example demonstrating how to initialize 500 agents with 4 correlated parameters each with random values by doing the necessary calculations in the program “R” and retrieving the results.
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