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.
Generalized Trust in the Mirror - a model on the Dynamics of Trust
Dominik Klein Johannes Marx | Published Fri Jan 12 12:48:20 2018This model studies the emergence and dynamics of generalized trust. It does so by modeling agents that engage in trust games and, based on their experience, slowly determine whether others are, in general, trustworthy.
SLUCEII LUXE (Land Use in an eXurban Environment) V 1.0
Shipeng Sun Dawn Parker Qingxu Huang Dan Brown Tatiana Filatova Rick L Riolo Derek Robinson Meghan Hutchins | Published Tue Sep 10 17:38:39 2013 | Last modified Fri Aug 14 21:45:45 2015LUXE is a land-use change model featuring different levels of land market implementation. It integrates utility measures, budget constraints, competitive bidding, and market interactions to model land-use change in exurban environment.
The dynamic agent-based model of market of single commodity and process of setting of prices
Mark Voronovitsky | Published Sat Jan 24 10:29:25 2009 | Last modified Sat Apr 27 20:18:48 2013The dynamic agent based model of system which turn out the self-adjusting system, are considered in this text.
Diffusion dynamics in small-world networks with heterogeneous consumers
Sebastiano Delre | Published Sat Sep 10 10:38:57 2011 | Last modified Sat Apr 27 20:18:30 2013This model simulates diffusion curves and it allows to test how social influence, network structure and consumer heterogeneity affect their spreads and their speeds.
Peer reviewed Simulating the Economic Impact of Boko Haram on a Cameroonian Floodplain
Nathaniel Henry Sarah Laborde Mark Moritz | Published Sat Oct 22 22:43:34 2016 | Last modified Wed Jun 7 16:30:07 2017This model examines the potential impact of market collapse on the economy and demography of fishing households in the Logone Floodplain, Cameroon.
Peer reviewed Hohokam Trade Networks Model
Joshua Watts | Published Sun Oct 26 01:07:30 2014The Hohokam Trade Networks Model focuses on key features of the Hohokam economy to explore how differences in trade network topologies may show up in the archaeological record. The model is set in the Phoenix Basin of central Arizona, AD 200-1450.
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.
Human mate choice is a complex system
Paul Smaldino Jeffrey C Schank | Published Fri Feb 8 19:17:22 2013 | Last modified Sat Apr 27 20:18:34 2013A general model of human mate choice in which agents are localized in space, interact with close neighbors, and tend to range either near or far. At the individual level, our model uses two oft-used but incompletely understood decision rules: one based on preferences for similar partners, the other for maximally attractive partners.
Coupled Housing and Land Markets (CHALMS)
Nicholas Magliocca Virginia Mcconnell Margaret Walls | Published Fri Nov 2 20:20:30 2012 | Last modified Mon Oct 27 16:23:37 2014CHALMS simulates housing and land market interactions between housing consumers, developers, and farmers in a growing ex-urban area.