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.
The dynamic agent-based model of market of single commodity and process of setting of prices
Mark Voronovitsky | Published Sat Jan 24 10:29:25 2009 | Last modified Sat Apr 27 20:18:48 2013The dynamic agent based model of system which turn out the self-adjusting system, are considered in this text.
A model of urban expansion policy scenarios using an agent-based approach—a case of the Guangzhou Metropolitan Region of China
Guangjin Tian | Published Fri Mar 21 15:09:32 2014Three policy scenarios for urban expansion under the influences of the behaviours and decision modes of four agents and their interactions have been applied to predict the future development patterns of the Guangzhou metropolitan region.
The Evolution of Multiple Resistant Strains: An Abstract Model of Systemic Treatment and Accumulated Resistance
Benjamin Nye | Published Wed Aug 31 05:03:21 2011 | Last modified Sat Apr 27 20:18:51 2013This model is intended to explore the effectiveness of different courses of interventions on an abstract population of infections. Illustrative findings highlight the importance of the mechanisms for variability and mutation on the effectiveness of different interventions.