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.
Root disease model
Adam Bouche | Published Sun Sep 30 20:44:37 2018This is a model of root disease spread between trees in the landscape. The disease spreads via two transmission processes: (a) root contact/root graft transmission between adjacent trees and (b) insect vectors that carry spores between trees. Full details can be found in the “Info” tab in the model and in the readme file in the GitHub repository.
Endogenous Corruption as a Cellular Automaton
Warren Vierhller | Published Wed Jun 27 07:12:38 2018The model explores how corruption may spread endogenously within a closed society by depicting the behavior within a cellular automaton context (CA) between bureaucrats and citizens. Within the model, corruption is characterized as a behavior product dependent upon an individual’s personal disposition towards honesty, rational decisionmaking processes, and neighbors’ behavior.
An agent-based model to simulate the impact of developers’ capital possession on urban development
Agung Wahyudi | Published Sat Jun 23 01:35:36 2018The model combines agent-based modelling and microeconomic approach to simulate the decision behaviour of land developers and how this impacts on the spatio-temporal processes of urban expansion.
Quality uncertainty and market failure
María Pereda David Poza José Santos José Manuel Galán | Published Wed May 14 12:06:43 2014 | Last modified Wed Apr 25 16:57:16 2018Quality uncertainty and market failure: an interactive model to conduct classroom experiments
Charcoal Record Simulation Model (CharRec)
Grant Snitker | Published Mon Nov 16 14:48:43 2015 | Last modified Sun Apr 22 00:21:16 2018This model (CharRec) creates simulated charcoal records, based on differing natural and anthropogenic patterns of ignitions, charcoal dispersion, and deposition.
Multistate modeling extended by behavioral rules
Anna Klabunde Sabine Zinn Frans Willekens Matthias Leuchter | Published Wed Aug 3 20:19:13 2016 | Last modified Tue Mar 13 08:44:24 2018Toolkit to specify demographic multistate model with a behavioural element linking intentions to behaviour
Simulation of the Governance of Complex Systems
Fabian Adelt Johannes Weyer Robin D Fink Andreas Ihrig | Published Mon Dec 18 16:11:30 2017 | Last modified Fri Mar 2 09:37:16 2018Simulation-Framework to study the governance of complex, network-like sociotechnical systems by means of ABM. Agents’ behaviour is based on a sociological model of action. A set of basic governance mechanisms helps to conduct first experiments.
Extended Flache and Mas (2008)
Hadi Aliahmadi | Published Wed Aug 16 22:32:04 2017 | Last modified Mon Feb 26 20:03:46 2018We extend the Flache-Mäs model to incorporate the location and dyadic communication regime of the agents in the opinion formation process. We make spatially proximate agents more likely to interact with each other in a pairwise communication regime.
Collective Decision Making for Ecological Restoration version 2.0
Moira Zellner Dean Massey Cristy Watkins Lynne M Westphal Kristen Ross Jeremy Brooks | Published Wed Nov 19 20:28:58 2014CoDMER v. 2.0 was parameterized with ethnographic data from organizations dealing with prescribed fire and seeding native plants, to advance theory on how collective decisions emerge in ecological restoration.
