About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
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 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 additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 7 of 27 results team clear
A simulation tool for capability-based team task allocation in emergency-responce environments
Afsaneh Fatemi | Published Wednesday, March 16, 2011 | Last modified Saturday, April 27, 2013Its a multi agent simulation environment, provided using JADE/Java. It gets the number of agents and tasks, then divides the physical environment to some segments, and then runs a greedy capability-based coalition formation and task allocation algorithm to assign tasks to groups of agents and complete the tasks.
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.
Peer reviewed Empathy & Power
J 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?
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.
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)
Social model of a Team Developing a Planning-Methodology
Oswaldo Terán Christophe Sibertin | Published Monday, November 18, 2013 | Last modified Sunday, November 16, 2014The model represents a team intended at designing a methodology for Institutional Planning. Included in ICAART’14 to exemplify how emotions can be identified in SocLab; and in ESSA’14 to show the Efficiency of Organizational Withdrawal vs Commitment.
A Mathematical Model of The Beer Game Coded in R for Verification
Mert Edali Hakan Yasarcan | 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”.
Displaying 7 of 27 results team clear