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.
PaCE Austria Pilot Model
Ruth Meyer | Published Tue Jun 30 17:35:41 2020The objective of building a social simulation in the Populism and Civic Engagement (PaCE) project is to study the phenomenon of populism by mapping individual level political behaviour and explain the influence of agents on, and their interdependence with the respective political parties. Voters, political parties and – to some extent – the media can be viewed as forming a complex adaptive system, in which parties compete for citizens’ votes, voters decide on which party to vote for based on their respective positions with regard to particular issues, and the media may influence the salience of issues in the public debate.
This is the first version of a model exploring voting behaviour in Austria. It focusses on modelling the interaction of voters and parties in a political landscape; the effects of the media are not yet represented. Austria was chosen as a case study because it has an established populist party (the “Freedom Party” FPO), which has even been part of the government over the years.
This is the R code of the mathematical model that includes the decision making formulations for artificial agents. This code corresponds to equations 1-70 given in the paper “A Mathematical Model of The Beer Game”.
A social network model to analyze team assembly mechanisms
Andreas Koch | Published Mon Apr 10 11:46:39 2017This model simulates networking mechanisms of an empirical social network. It correlates event determinants with place-based geography and social capital production.
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.
Socio-spatial segregation in Salzburg, Austria
Andreas Koch | Published Fri Sep 25 06:37:44 2009 | Last modified Sat Apr 27 20:18:48 2013This is a first preliminary simulation model to model segregation in the city of Salzburg, Austria.
REHAB: A Role Playing Game to Explore the Influence of Knowledge and Communication on Natural Resources Management
Christophe Le Page Anne Dray Pascal Perez Claude Garcia | Published Mon Jul 13 10:58:19 2015 | Last modified Mon Jul 13 16:59:44 2015REHAB has been designed as an ice-breaker in courses dealing with ecosystem management and participatory modelling. It helps introducing the two main tools used by the Companion Modelling approach, namely role-playing games and agent-based models.
A Mathematical Model of The Beer Game Coded in R for Verification
Mert Edali Hakan Yasarcan | Published Wed Nov 5 09:54:46 2014This is the R code of the mathematical model used for verification. This code corresponds to equations 1-9, 15-53, 58-62, 69-70, and 72-75 given in the paper “A Mathematical Model of The Beer Game”.