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.
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TELL ME: protective behaviour in an epidemic
Jennifer Badham | Published Tuesday, February 10, 2015Models the connection between health agency communication, personal protective behaviour (eg vaccination, hand hygiene) and influenza transmission.
The emergence of tag-mediated altruism in structured societies
Shade Shutters David Hales | Published Tuesday, January 20, 2015 | Last modified Thursday, March 02, 2023This abstract model explores the emergence of altruistic behavior in networked societies. The model allows users to experiment with a number of population-level parameters to better understand what conditions contribute to the emergence of altruism.
Peer reviewed Umwelten Ants
Kit Martin | Published Thursday, January 15, 2015 | Last modified Thursday, August 27, 2015Simulates impacts of ants killing colony mates when in conflict with another nest. The murder rate is adjustable, and the environmental change is variable. The colonies employ social learning so knowledge diffusion proceeds if interactions occur.
Demographic microsimulation for individuals and couples
Sabine Zinn | Published Wednesday, January 14, 2015The simulation model conducts fine-grained population projection by specifying life course dynamics of individuals and couples by means of traditional demographic microsimulation and by using agent-based modeling for mate matching.
CA-MRSA Demonstration Model
Jonathan Ozik Charles Macal Kenneth Letendre Irene Lee | Published Tuesday, January 06, 2015We demonstrate how a simple model of community associated Methicillin-resistant Staphylococcus aureus (CA-MRSA) can be easily constructed by leveraging the statecharts and ReLogo capabilities in Repast Simphony.
Life Cycle Cost of Military Manpower Model
Jonathan Ozik Todd Combs | Published Monday, January 05, 2015We demonstrate how Repast Simphony statecharts can efficiently encapsulate the deep classification hierarchy of the U.S. Air Force for manpower life cycle costing.
Neolithic Spread Model Version 1.0
Sean Bergin Salvador Pardo Gordo Joan Bernabeu Auban Michael Barton | Published Thursday, December 11, 2014 | Last modified Monday, December 31, 2018This model simulates different spread hypotheses proposed for the introduction of agriculture on the Iberian peninsula. We include three dispersal types: neighborhood, leapfrog, and ideal despotic distribution (IDD).
Interplay between stakeholders of the management of a river
Christophe Sibertin-Blanc Pascal Roggero Bertrand Baldet | Published Wednesday, November 12, 2014This model describes and analyses the outcomes of the confrontation of interests, some conflicting, some common, about the management of a small river in SW France
DITCH --- A Model of Inter-Ethnic Partnership Formation
Ruth Meyer Laurence Lessard-Phillips Huw Vasey | Published Wednesday, November 05, 2014 | Last modified Tuesday, February 02, 2016The DITCH model has been developed to investigate partner selection processes, focusing on individual preferences, opportunities for contact, and group size to uncover how these may lead to differential rates of inter-ethnic marriage.
This is the R code of the mathematical model that includes the decision making formulations for artificial agents. Plus, the code for graphical output is also added to the original code.
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