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.
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Toward Market Structure as a Complex System: A Web Based Simulation Assignment Implemented in Netlogo
Timothy Kochanski | Published Monday, February 14, 2011 | Last modified Saturday, April 27, 2013This is the model for a paper that is based on a simulation model, programmed in Netlogo, that demonstrates changes in market structure that occur as marginal costs, demand, and barriers to entry change. Students predict and observe market structure changes in terms of number of firms, market concentration, market price and quantity, and average marginal costs, profits, and markups across the market as firms innovate. By adjusting the demand growth and barriers to entry, students can […]
An agent based simulation and data mining framework for scenario analysis of technology products
Moeed Haghnevis | Published Monday, December 13, 2010 | Last modified Saturday, April 27, 2013The objective of this study is to create a framework to simulate and analyze the effect of multiple business scenarios on the adoption behavior of a group of technology products.
Agent Based Simulation of Technology Adoption
Moeed Haghnevis | Published Tuesday, December 07, 2010 | Last modified Saturday, April 27, 2013The purpose of this model is to study effect of a particular kind of spatial externality, “fashion effect”, on the dynamics of technology diffusion among rational adopters with uncertainty about the p
Opinion Leaders' Role in Innovation Diffusion
Peter Van Eck | Published Wednesday, March 10, 2010 | Last modified Saturday, April 27, 2013This model is used to investigate the role of opinion leader. More specifically: the influence of ‘innovative behavior’, ‘weigth of normative influence’, ‘better product judgment’, ‘number of opinion
Displaying 4 of 54 results adoption clear search