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.
Impact of topography and climate change on Magdalenian social networks
Claudine Gravel-Miguel | Published Mon Sep 11 16:15:45 2017The model presented here was created as part of my dissertation. It aims to study the impacts of topography and climate change on prehistoric networks, with a focus on the Magdalenian, which is dated to between 20 and 14,000 years ago.
Resource distribution effects on optimal foraging theory
Marco Janssen Kim Hill | Published Fri Jan 27 14:54:54 2017The original Ache model is used to explore different distributions of resources on the landscape and it’s effect on optimal strategies of the camps on hunting and camp movement.
PSMED - Patagonia Simple Model of Ethnic Differentiation
Joan A Barceló J A Cuesta Florencia Del Castillo Ricardo Del Olmo José M Galán Laura Mameli Francisco J Miguel David Poza José I Santos Xavier Vilà | Published Tue Dec 10 08:41:20 2013Patagonia PSMED is an agent-based model designed to study a simple case of Evolution of Ethnic Differentiation. It replicates how can hunter-gatherer societies evolve and built cultural identities as a consequence of the way they interacted.
ForagerNet3_Demography: A Non-Spatial Model of Hunter-Gatherer Demography
Andrew White | Published Thu Oct 17 18:53:03 2013 | Last modified Thu Oct 17 19:13:37 2013ForagerNet3_Demography is a non-spatial ABM for exploring hunter-gatherer demography. Key methods represent birth, death, and marriage. The dependency ratio is an imporant variable in many economic decisions embedded in the methods.
ForagerNet3_Demography_V2
Andrew White | Published Thu Feb 13 16:06:26 2014ForagerNet3_Demography_V2 is a non-spatial ABM for exploring hunter-gatherer demography. This version (developed from FN3D_V1) contains code for calculating the ratio of old to young adults (the “OY ratio”) in the living and dead populations.