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.
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Demand Planning Model
Iris Lorscheid Jonas Hauke Matthias Meyer | Published Wednesday, October 04, 2017Demand planning requires processing of distributed information. In this process, individuals, their properties and interactions play a crucial role. This model is a computational testbed to investigate these aspects with respect to forecast accuracy.
Modeling a Victim-Centered Approach for Detection of Human Trafficking Victims within Migration Flows
Kyle Ballard Brant M Horio | Published Saturday, September 23, 2017The model employs an agent-based model for exploring the victim-centered approach to identifying human trafficking and the approach’s effectiveness in an abstract representation of migrant flows.
Zero, Some, or Zero-Sum: Exploring Trade-Offs in Identifying Human Trafficking Among Migration Flows
Kyle Ballard | Published Saturday, September 23, 2017The model attempts to explore the trade-offs between immigration policies and successfully identifying human trafficking victims.
Sorghum supply development in Meru County, Kenya
Tim Verwaart Coen Van Wagenberg | Published Wednesday, September 06, 2017 | Last modified Thursday, May 30, 2019Trust between farmers and processors is a key factor in developing stable supply chains including “bottom of the pyramid”, small-scale farmers. This simulation studies a case with 10000 farmers.
Peer reviewed Least cost path mobility
Colin Wren Claudine Gravel-Miguel | Published Saturday, September 02, 2017 | Last modified Monday, October 04, 2021This model aims to mimic human movement on a realistic topographical surface. The agent does not have a perfect knowledge of the whole surface, but rather evaluates the best path locally, at each step, thus mimicking imperfect human behavior.
InnovationGame
Madeline Tyson | Published Thursday, August 24, 2017This model includes an innovation search environment. Agents search and can share their findings. It’s implemented in Netlogo-Hubnet & a parallel Netlogo model. This allows for validation of search strategies against experimental findings.
Towards an Agent-Based Model for Civil Revolution: Modeling Emergence of Protesters, Military Decisions, and Resulting State of
Salwa Ismail | Published Friday, August 18, 2017This paper builds on a basic ABM for a revolution and adds a combination of behaviors to its agents such as military benefits, citizen’s grievances, geographic vision, empathy, personality type and media impact.
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)
Simulation of the Effects of Disorganization on Goals and Problem Solving
Dinuka Herath | Published Sunday, August 13, 2017 | Last modified Sunday, August 13, 2017This is a model of the occurrence of disorganization and its impact on individual goal setting and problem-solving. This model therefore, explores the effects of disorganization on goal achievement.
The Li-BIM model aims at simulating the behavior of occupants in a building. It is structured around the numerical modeling of the building (IFC format) and a BDI cognitive architecture. The model has been implemented under the GAMA platform.
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