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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An empirical ABM for regional land use/cover change: a Dutch case study
Diego Valbuena | Published Saturday, March 12, 2011 | Last modified Thursday, November 11, 2021This is an empirical model described in http://dx.doi.org/10.1016/j.landurbplan.2010.05.001. The objective of the model is to simulate how the decision-making of farmers/agents with different strategies can affect the landscape structure in a region in the Netherlands.
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 […]
A preliminary extension of the Hemelrijk 1996 model of reciprocal behavior to include feeding
Sean Barton | Published Monday, December 13, 2010 | Last modified Saturday, April 27, 2013A more complete description of the model can be found in Appendix I as an ODD protocol. This model is an expansion of the Hemelrijk (1996) that was expanded to include a simple food seeking behavior.
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
cultural group and persistent parochialism
Jae-Woo Kim | Published Monday, November 08, 2010 | Last modified Saturday, April 27, 2013Discriminators who have limited tolerance for helping dissimilar others are necessary for the evolution of costly cooperation in a one-shot Prisoner’s Dilemma. Existing research reports that trust in
Evolution of cooperation with strangers
Marco Janssen | Published Friday, October 15, 2010 | Last modified Wednesday, November 13, 2013The model is used to study the conditions under which agents will cooperate in one-shot two-player Prisoner’s Dilemma games if they are able to withdraw from playing the game and can learn to recogniz
Simulating the Cinema Market: How Cross-Cultural Differences in Social Influence Explain Box Office Distributions
Sebastiano Delre | Published Thursday, February 11, 2010 | Last modified Saturday, April 27, 2013This model simulates the motion picture industry and tests how social influences affect market shares. It is empirically validated at the micro level by a cross-cultural survey.
Evolution of cooperative strategies from first principles
Marco Janssen | Published Monday, January 04, 2010 | Last modified Saturday, April 27, 2013The purpose of this model is to study the evolution of cooperation when agents are endowed with a limited set of receptors, a set of elementary actions and a neural network agents use to make decision
Replicating the Macy & Sato Model: Trust, Cooperation and Market Formation in the U.S. and Japan
Oliver Will | Published Saturday, August 29, 2009 | Last modified Saturday, April 27, 2013A replication of the model “Trust, Cooperation and Market Formation in the U.S. and Japan” by Michael W. Macy and Yoshimichi Sato.
The Effect of Merger and Acquisitions on the IS Function: An Agent Based Simulation Model
Andrea Genovese | Published Tuesday, June 23, 2009 | Last modified Saturday, April 27, 2013Merger and acquisition (M&A) activity has many strategic and operational objectives. One operational objective is to develop common and efficient information systems that maybe the source of creating
Displaying 10 of 495 results from clear search