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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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.
Salzburg Bicycle model
Gudrun Wallentin | Published Saturday, October 29, 2016An ABM to simulate the spatio-temporal distribution of cyclists across the road network of the city of Salzburg.
A Mathematical Model of The Beer Game
Hakan Yasarcan Mert Edali | Published Wednesday, November 05, 2014This 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 land-use model to illustrate ambiguity in design
Julia Schindler | Published Monday, October 15, 2012 | Last modified Friday, January 13, 2017This is an agent-based model that allows to test alternative designs for three model components. The model was built using the LUDAS design strategy, while each alternative is in line with the strategy. Using the model, it can be shown that alternative designs, though built on the same strategy, lead to different land-use patterns over time.
01b ModEco NLG V1.39 – Model Economies – The PMM
Garvin Boyle | Published Friday, April 14, 2017It is very difficult to model a sustainable intergenerational biophysical/financial economy. ModEco NLG is one of a series of models exploring the dynamics of sustainable economics – PSoup, ModEco, EiLab, OamLab, MppLab, TpLab, CmLab.
Endogenous dynamics of firms made up by networked agents: an exploratory analysis
Bernardo Alves Furtado Isaque Daniel Rocha Eberhardt | Published Wednesday, March 23, 2016 | Last modified Wednesday, October 05, 2016This is an adaptation and extension of Robert Axtell’s model (2013) of endogenous firms, in Python 3.4
Environmental uncertainty affects the optimal structure of information-sharing networks
Marco Janssen Takao Sasaki Zachary Joseph Shaffer Stephen Pratt | Published Monday, March 16, 2015We used a computer simulation to measure how well different network structures (fully connected, small world, lattice, and random) find and exploit resource peaks in a variable environment.
MoPAgrIB: simulating savannah landscape mosaic under shifting cultivation
Nicolas Becu Marc Deconchat Eric Garine Kouami Kokou Christine Raimond | Published Monday, May 27, 2013 | Last modified Tuesday, January 21, 2014MoPAgrIB model simulates the movement of cultivated patches in a savannah vegetation mosaic ; how they move and relocate through the landscape, depending on farming practices, population growth, social rules and vegetation growth.
Effect of communication in irrigation games
Marco Janssen Jacopo A. Baggio | Published Wednesday, January 14, 2015 | Last modified Wednesday, August 09, 2017The model includes different formulations how agents make decisions in irrigation games and this is compared with empirical data. The aim is to test different theoretical models, especially explaining effect of communication.
Population aggregation in ancient arid environments
Marco Janssen | Published Tuesday, May 04, 2010 | Last modified Saturday, April 27, 2013The purpose of this model is to help understand how prehistoric societies adapted to the prehistoric American southwest landscape. In the American southwest there is a high degree of environmental var
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