Our mission is to help computational modelers develop, document, and share their computational models in accordance with community standards and good open science and software engineering practices. Model authors can publish their model source code in the Computational Model Library with narrative documentation as well as metadata that supports open science and emerging norms that facilitate software citation, computational reproducibility / frictionless reuse, and interoperability. Model authors can also request private peer review of their computational models. Models that pass peer review receive a DOI once published.
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 feel free to contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
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The Effectiveness of Image-Scoring Under Different Ecological Conditions
G M Leighton | Published Monday, January 06, 2014The set of models test how receivers ability to accurately rank signalers under various ecological and behavioral contexts.
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
Social model of a Team Developing a Planning-Methodology
Oswaldo Terán Christophe Sibertin | Published Monday, November 18, 2013 | Last modified Sunday, November 16, 2014The model represents a team intended at designing a methodology for Institutional Planning. Included in ICAART’14 to exemplify how emotions can be identified in SocLab; and in ESSA’14 to show the Efficiency of Organizational Withdrawal vs Commitment.
PR-M: The Peer Review Model
Mario Paolucci Francisco Grimaldo | Published Sunday, November 10, 2013 | Last modified Wednesday, July 01, 2015This is an agent-based model of peer review built on the following three entities: papers, scientists and conferences. The model has been implemented on a BDI platform (Jason) that allows to perform both parameter and mechanism exploration.
Adoption of conservation practices
Irem Daloglu | Published Monday, October 21, 2013This model is designed to investigate the impact of alternative policy approaches and changing land tenure dynamics on farmer adoption of conservation practices intended to increase the water quality.
ForagerNet3_Demography: A Non-Spatial Model of Hunter-Gatherer Demography
Andrew White | Published Thursday, October 17, 2013 | Last modified Thursday, October 17, 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.
Informal Information Transmission Networks among Medieval Genoese Investors
Christopher Frantz | Published Wednesday, October 09, 2013 | Last modified Thursday, October 24, 2013This model represents informal information transmission networks among medieval Genoese investors used to inform each other about cheating merchants they employed as part of long-distance trade operations.
SLUCEII LUXE (Land Use in an eXurban Environment)
Qingxu Huang Rick L Riolo Shipeng Sun Derek Robinson Dawn Parker Tatiana Filatova Meghan Hutchins Dan Brown | Published Tuesday, September 10, 2013 | Last modified Saturday, October 22, 2022LUXE 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 Pampas Model: An agent-based model of agricultural systems in the Argentinean Pampas
Michael North Federico Bert Guillermo P Podestá Santiago L Rovere Charles Macal | Published Tuesday, July 16, 2013 | Last modified Tuesday, February 17, 2015The Pampas Model is an Agent-Based Model intended to explore the dynamics of structural and land use changes in agricultural systems of the Argentine Pampas in response to climatic, technological economic, and political drivers.
Linear recruitment leads to allocation and flexibility in collective foraging by ants
Takao Sasaki Zachary Joseph Shaffer Stephen Pratt | Published Thursday, July 11, 2013 | Last modified Thursday, September 05, 2013Ants in the genus Temnothorax use tandem runs (rather than pheromone trails) to recruit to food sources. This model explores the collective consequences of this linear recruitment (as opposed to highly nonlinear pheromone trails).
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