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.
Displaying 6 of 56 results for 'Steffen F%C3%BCrst'
The Pampas Model: An agent-based model of agricultural systems in the Argentinean Pampas
Federico Bert Guillermo P Podestá Santiago L Rovere Michael North Charles Macal | Published Tuesday, July 16, 2013 | Last modified Tuesday, February 17, 2015The Pampas Model is an Agent-Based Model intended to explore the dynamics of structural and land use changes in agricultural systems of the Argentine Pampas in response to climatic, technological economic, and political drivers.
Asymmetric two-sided matching
Naoki Shiba | Published Wednesday, January 09, 2013 | Last modified Tuesday, May 28, 2013This model is an extended version of the matching problem including the mate search problem, which is the generalization of a traditional optimization problem. The matching problem is extended to a form of asymmetric two-sided matching problem.
An adaptive model of homing pigeons: A genetic algorithm approach
Francis Oloo Gudrun Wallentin | Published Friday, January 27, 2017In this model, we simulate the navigation behavior of homing pigeons. Specifically we use genetic algorithms to optimize the navigation and flocking parameters of pigeon agents.
Communication and social change in space and time
Sebastian Kluesener Francesco Scalone Martin Dribe | Published Tuesday, May 17, 2016 | Last modified Friday, October 13, 2017This agent-based model simulates the diffusion of a social change process stratified by social class in space and time which is solely driven social and spatial variation in communication links.
Homing pigeon model
Gudrun Wallentin | Published Saturday, October 29, 2016This model represents the flight paths of a flock of homing pigeons according to their flocking-, orientation- and leadership behaviour.
Team Problem Solving and Motivation under Disorganization
Dinuka Herath | Published Sunday, August 13, 2017The model combines the two elements of disorganization and motivation to explore their impact on teams. Effects of disorganization on team task performance (problem solving)
Displaying 6 of 56 results for 'Steffen F%C3%BCrst'