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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Impact of topography and climate change on Magdalenian social networks
Claudine Gravel-Miguel | Published Monday, September 11, 2017The model presented here was created as part of my dissertation. It aims to study the impacts of topography and climate change on prehistoric networks, with a focus on the Magdalenian, which is dated to between 20 and 14,000 years ago.
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.
Policy Formulation for Public Administration - Innovation
Bashar Ourabi | Published Tuesday, August 29, 2017 | Last modified Tuesday, August 29, 2017Innovation a byproduct of the intellectual capital, requires a new paradigm for the production constituents. Human Capital HC,Structural capital SC and relational capital RC become key for intellectual capital and consequently for innovation.
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.
Harvesting daisies in Daisyworld
Marco Janssen | Published Saturday, July 22, 2017Comparing impact of alternative behavioral theories in a simple social-ecological system.
RAGE RAngeland Grazing Model
Carsten M Buchmann Jule Thober Birgit Müller Karin Frank Cheng Guo Jürgen Groeneveld Gunnar Dressler Niklas Hase | Published Monday, July 17, 2017 | Last modified Friday, October 26, 2018RAGE models a stylized common property grazing system. Agents follow a certain behavioral type. The model allows analyzing how household behavior with respect to a social norm on pasture resting affects long-term social-ecological system dynamics.
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