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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Peer reviewed Empathy & Power
J M Applegate Ned Wellman | Published Monday, November 13, 2017 | Last modified Thursday, December 21, 2017The purpose of this model is to explore the effects of different power structures on a cross-functional team’s prosocial decision making. Are certain power distributions more conducive to the team making prosocial decisions?
Team Problem Solving and Motivation under Disorganization
Dinuka Herath | Published Sunday, August 13, 2017The model combines the two elements of disorganization and motivation to explore their impact on teams. Effects of disorganization on team task performance (problem solving)
A social network model to analyze team assembly mechanisms
Andreas Koch | Published Monday, April 10, 2017This model simulates networking mechanisms of an empirical social network. It correlates event determinants with place-based geography and social capital production.
Equity Constrained Dispatching Model of Emergency Medical Services
Sreekanth V K Ram Babu Roy | Published Thursday, September 08, 2016 | Last modified Monday, May 01, 2017Model for evaluating various ambulance dispatching policies of an equity constrained emergency medical services under bounded rationality.
LAMDA - Learning Agents for Mechanism-Design Analysis
Iris Lorscheid Matthias Meyer | Published Monday, August 08, 2016The simulation model LAMDA investigates the influences of varying cognitive abilities of the decision maker on the truth-inducing effect of the Groves mechanism. Bounded rationality concepts are represented by information states and learning models.
Simulation of Self-enforcing Agreement in Cooperative Teams
Hang Xiong | Published Friday, April 01, 2016This is an agent-based model of the implementation of the self-enforcing agreement in cooperative teams.
Inquisitiveness in ad hoc teams
Davide Secchi | Published Sunday, October 18, 2015 | Last modified Thursday, June 11, 2020This model builds on inquisitiveness as a key individual disposition to expand the bounds of their rationality. It represents a system where teams are formed around problems and inquisitive agents integrate competencies to find ‘emergent’ solutions.
This is the R code of the mathematical model that includes the decision making formulations for artificial agents. Plus, the code for graphical output is also added to the original code.
A Mathematical Model of The Beer Game Coded in R for Verification
Hakan Yasarcan Mert Edali | Published Wednesday, November 05, 2014This is the R code of the mathematical model used for verification. This code corresponds to equations 1-9, 15-53, 58-62, 69-70, and 72-75 given in the paper “A Mathematical Model of The Beer Game”.
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”.
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