About the CoMSES Model Library more info
CoMSES Net maintains cyberinfrastructure to foster FAIR data principles for access to and (re)use of computational models. Model authors can publish their model code in the Computational Model Library with documentation, metadata, and data dependencies and support these FAIR data principles as well as best practices for software citation. Model authors can also request that their model code be peer reviewed 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 archive tutorial or contact us if you have any questions or concerns about archiving your model.
CoMSES Net also maintains a curated database of over 7500 publications of agent-based and individual based models with additional metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Hominin ecodynamics v.2
C Michael Barton | Published Mon Sep 19 19:55:00 2011 | Last modified Fri Mar 28 05:17:32 2014Simulates biobehavioral interactions between 2 populations of hominins.
Irrigation Equity and Efficiency
Andrew Bell | Published Tue Aug 30 18:36:45 2016The purpose of this model is to examine equity and efficiency in crop production across a system of irrigated farms, as a function of maintenance costs, assessed water fees, and the capacity of farmers to trade water rights among themselves.
A Simulation of Entrepreneurial Spawning
Mark Bagley | Published Wed Jun 8 19:33:28 2016 | Last modified Fri Jun 30 11:01:46 2017Industrial clustering patterns are the result of an entrepreneurial process where spinoffs inherit the ideas and attributes of their parent firms. This computational model maps these patterns using abstract methodologies.
Simulating the evolution of the human family
Paul Smaldino | Published Wed Nov 29 00:42:42 2017The (cultural) evolution of cooperative breeding in harsh environments.
An adaptive model of homing pigeons: A genetic algorithm approach
Francis Oloo Gudrun Wallentin | Published Fri Jan 27 09:42:22 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.
How to not get stuck – an ant model showing how negative feedback due to crowding maintains flexibility in ant foraging
Tomer Czaczkes | Published Thu Dec 17 10:55:16 2015Positive feedback can lead to “trapping” in local optima. Adding a simple negative feedback effect, based on ant behaviour, prevents this trapping
Peer reviewed Hominin ecodynamics v.1
C Michael Barton | Published Sat Oct 1 00:20:15 2011 | Last modified Fri Mar 28 05:07:40 2014Biobehavioral interactions between two populations under different movement strategies.
Biodynamica
Klaus Jaffe | Published Sat Dec 24 16:49:16 2016Agent based simulation model for the study of the genetic evolution of sexual recombination and social behavior