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.
Cultural Spread
Salvador Pardo-Gordó Salvador Pardo Gordó | Published Thu Apr 2 11:44:34 2015 | Last modified Thu Apr 23 11:41:45 2020The purpose of the model is to simulate the cultural hitchhiking hypothesis to explore how neutral cultural traits linked with advantageous traits spread together over time
Geographic Expansion Model (GEM)
Sean Bergin | Published Fri Feb 28 17:41:57 2020The purpose of this model is to explore the importance of geographic factors to the settlement choices of early Neolithic agriculturalists. In the model, each agriculturalist spreads to one of the best locations within a modeler specified radius. The best location is determined by choosing either one factor such as elevation or slope; or by ranking geographic factors in order of importance.
Neolithic Spread Model Version 1.0
Sean Bergin Michael Barton Salvador Pardo Gordo Joan Bernabeu Auban | Published Thu Dec 11 19:12:19 2014 | Last modified Mon Dec 31 17:39:18 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).
Eixample-MAS Traffic Simulation
Àlex Pardo Fernandez David Sánchez Pinsach | Published Tue Jan 22 09:33:39 2013 | Last modified Sat Apr 27 20:18:30 2013This MAS simulates the traffic of Barcelona Eixample. Uses a centralized AI system in order to control the traffic lights. Car agents are reactive and have no awareness of the intelligence of the system. They (try to) avoid collisions.