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.
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Peer Review Model
Flaminio Squazzoni Claudio Gandelli | Published Wednesday, September 05, 2012 | Last modified Saturday, April 27, 2013This model looks at implications of author/referee interaction for quality and efficiency of peer review. It allows to investigate the importance of various reciprocity motives to ensure cooperation. Peer review is modelled as a process based on knowledge asymmetries and subject to evaluation bias. The model includes various simulation scenarios to test different interaction conditions and author and referee behaviour and various indexes that measure quality and efficiency of evaluation […]
Linear Threshold
Kaushik Sarkar | Published Saturday, November 03, 2012 | Last modified Saturday, April 27, 2013NetLogo implementation of Linear Threshold model of influence propagation.
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.
SEDIBASES
Sebastian Rasch | Published Monday, October 20, 2014The Sediba socio-ecolgoical rangeland model is an biomass growth model coupled with a social model of pastoralist behaviour in a commmon pool resource setting. The social subsystem is an empircal ABM.
Peer reviewed Axelrod_Cultural_Dissemination
Arezky RodrÃguez | Published Wednesday, March 27, 2013 | Last modified Sunday, May 05, 2013The Axelrod’s model of cultural dissemination is an agent-model designed to investigate the dissemination of culture among interacting agents on a society.
Village Ecodynamics Project
ipem | Published Friday, May 13, 2011 | Last modified Saturday, April 27, 2013The Village Project is designed to help archaeologists understand the factors influencing settlement patterns of small-scale agrarian peoples. Although such societies are becoming increasingly rare, they represent the norm throughout most of the Neolithic period the world over.
Influence with over-confident agents
Juliette Rouchier Emily Tanimura | Published Wednesday, October 21, 2015Agents can influence each other if they are close enough in knowledge. The probability to convince with good knowledge and number of agents have an impact on the dissemination of knowledge.
This is the final version of the model. To simulate the normative dynamics we used the EmIL (EMergence In the Loop) Framework which was kindly provided by Ulf Lotzmann. http://cfpm.org/EMIL-D5.1.pdf
The Evolution of Cooperation in an Ecological Context
Oyita Udiani | Published Saturday, November 03, 2012 | Last modified Saturday, April 27, 2013This is a replication of the altruistic trait selection model described in Pepper & Smuts (2000, 2002).
Exploring Transitions towards Sustainable Construction
Cesar Garcia-Diaz Jesus Rosales-Carreon | Published Wednesday, October 30, 2013 | Last modified Saturday, January 31, 2015This model illustrates actor interaction in the construction sector, according to information gathered in NL. It offers a simple frame to represent diverse interests, interdependencies and effects on the number of built sustainable houses.
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