About the CoMSES Model Library more info
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.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 10 of 1125 results for "A Flache" clear search
An integrated socio-economic Agent-Based Modeling framework towards assessing farmers’ decision making under water scarcity and varying utility function
Ghinwa Harik | Published Tuesday, September 13, 2022 | Last modified Wednesday, November 23, 2022A spatio-temporal Agent Based Modeling (ABM) framework is developed to probabilistically predict farmers’ decisions in the context of climate-induced water scarcity under varying utility optimization functions. The proposed framework forecasts farmers’ behavior assuming varying utility functions. The framework allows decision makers to forecast the behavior of farmers through a user-friendly platform with clear output visualization. The functionality of the proposed ABM is illustrated in an agriculturally dominated plain along the Eastern Mediterranean coastline.
Study area GIS data available upon request to [email protected]
Peer reviewed Behavior changes through influence
Daria Soboleva | Published Friday, August 30, 2024The model is designed to simulate the behavior and decision-making processes of individuals (agents) in a social network. It aims to represent the changes in individual probability to take any action based on changes in attributes. The action is anything that can be reasonably influenced by the three influencing methods implemented in this model: peer pressure, social media, and state campaigns, and for which the user has a decision-making model. The model is implemented in the multi-agent programmable environment NetLogo 6.3.0.
ergodicity_test
Jakob Grazzini | Published Monday, November 29, 2010 | Last modified Saturday, April 27, 2013This Python module contain a function that is able to test the ergodicity of a given agent based model. It is sufficient to produce one long time series and many smaller time series. The function uses
Tyche
Tony Lawson | Published Tuesday, February 28, 2012 | Last modified Saturday, April 27, 2013Demographic microsimulation model used in speed tests against LIAM 2.
Feedback Loop Example: Vegetation Patch Growth
James Millington | Published Thursday, December 20, 2012 | Last modified Saturday, April 27, 2013This model illustrates a positive ‘growth’ feedback loop in which the areal extent of an entity increases through time.
Societal Simulator v203 fertility graph fix
Tim Gooding | Published Wednesday, November 26, 2014This is the same model as used in the article ‘Modelling Society’s Evolutionary Forces’ except the Fertility graph has been corrected. The Fertility graph was not used in the published article.
Multistate modeling extended by behavioral rules
Frans Willekens Sabine Zinn Matthias Leuchter Anna Klabunde | Published Wednesday, August 03, 2016 | Last modified Tuesday, March 13, 2018Toolkit to specify demographic multistate model with a behavioural element linking intentions to behaviour
segregation model with multiple variables and explit spatiality
Andreas Koch | Published Wednesday, October 28, 2009 | Last modified Saturday, April 27, 2013This model is a more comprehensive version of the original model; descriptions and expanations are added
Gentrilab
Adrian Lara | Published Monday, December 17, 2018Development of a Multiagent System for the Analysis of Gentrification in Latin America, an Agent-Based Model
1984 social computation model
Harun Šiljak | Published Monday, September 30, 2019A system of nonlinear differential equations, modelled in MATLAB Simulink, simulating the world of George Orwell’s 1984.
Displaying 10 of 1125 results for "A Flache" clear search