About the CoMSES Model Library more info
Our mission is to help computational modelers develop, document, and share their computational models in accordance with community standards and good open science and software engineering practices. Model authors can publish their model source code in the Computational Model Library with narrative documentation as well as metadata that supports open science and emerging norms that facilitate software citation, computational reproducibility / frictionless reuse, and interoperability. Model authors can also request private peer review of their computational models. Models that pass peer review receive a DOI once published.
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 feel free to 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 detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 8 of 18 results calibration clear search
Agent-based model of WiFi tracking system in urban environment
Christopher Thron Khoi Tran | Published Friday, April 21, 2017This code simulates the WiFi user tracking system described in: Thron et al., “Design and Simulation of Sensor Networks for Tracking Wifi Users in Outdoor Urban Environments”. Testbenches used to create the figures in the paper are included.
An Agent-Based DSS for Word-of-Mouth Programs in Freemium Apps
Manuel Chica | Published Monday, September 05, 2016An agent-based framework that aggregates social network-level individual interactions to run targeting and rewarding programs for a freemium social app. Git source code in https://bitbucket.org/mchserrano/socialdynamicsfreemiumapps
Effect of communication in irrigation games
Jacopo A. Baggio Marco Janssen | Published Wednesday, January 14, 2015 | Last modified Wednesday, August 09, 2017The model includes different formulations how agents make decisions in irrigation games and this is compared with empirical data. The aim is to test different theoretical models, especially explaining effect of communication.
A model of circular migration
Anna Klabunde | Published Wednesday, August 07, 2013 | Last modified Wednesday, February 17, 2016An empirically validated agent-based model of circular migration
Comparing agent-based models on experimental data of irrigation games
Marco Janssen Jacopo A. Baggio | Published Tuesday, July 02, 2013 | Last modified Wednesday, July 03, 2013Comparing 7 alternative models of human behavior and assess their performance on a high resolution dataset based on individual behavior performance in laboratory experiments.
MayaSim: An agent-based model of the ancient Maya social-ecological system
Scott Heckbert | Published Wednesday, July 11, 2012 | Last modified Tuesday, July 02, 2013MayaSim is an agent-based, cellular automata and network model of the ancient Maya. Biophysical and anthropogenic processes interact to grow a complex social ecological system.
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.
9 Maturity levels in Empirical Validation - An innovation diffusion example
Martin Rixin | Published Wednesday, October 19, 2011 | Last modified Saturday, April 27, 2013Several taxonomies for empirical validation have been published. Our model integrates different methods to calibrate an innovation diffusion model, ranging from simple randomized input validation to complex calibration with the use of microdata.
Displaying 8 of 18 results calibration clear search