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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Model to simulation the landscape of possible shedding games
Marco Janssen | Published Sunday, May 16, 2010 | Last modified Saturday, April 27, 2013This model simulates 2048 versions of shedding games and evaluates the consequences on the average length and the difficulty of the game agents experience. The purpose of the model is to understand th
Population aggregation in ancient arid environments
Marco Janssen | Published Tuesday, May 04, 2010 | Last modified Saturday, April 27, 2013The purpose of this model is to help understand how prehistoric societies adapted to the prehistoric American southwest landscape. In the American southwest there is a high degree of environmental var
Opinion Leaders' Role in Innovation Diffusion
Peter Van Eck | Published Wednesday, March 10, 2010 | Last modified Saturday, April 27, 2013This model is used to investigate the role of opinion leader. More specifically: the influence of ‘innovative behavior’, ‘weigth of normative influence’, ‘better product judgment’, ‘number of opinion
Simulating Knowledge Dynamics in Innovation Networks
Nigel Gilbert | Published Wednesday, March 03, 2010 | Last modified Saturday, April 27, 20133.8 with Unis
Shared Norms and the Evolution of Ethnic Markers
Nathan Rollins | Published Friday, January 22, 2010 | Last modified Saturday, April 27, 2013The publication and mathematical model upon which this ABM is based shows one mechanism that can lead to stable behavioral and cultural traits between groups.
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
Evaluating Government's Policies on Promoting Smart Metering Diffusion in Retail Electricity Markets
Tao Zhang | Published Monday, December 07, 2009 | Last modified Saturday, April 27, 2013This model is a market game for evaluating the effectiveness of the UK government’s 2008-2010 policy on promoting smart metering in the UK retail electricity market. We break down the policy into four
Cumulative effects agent-based model of forestry and hunting
Scott Heckbert | Published Friday, December 04, 2009 | Last modified Saturday, April 27, 2013A special case of the model ‘huntingforestry’, where a ‘pulsar’ pattern emerges, balancing hunting and game population growth.
Cumulative effects agent-based model of forestry and hunting
Scott Heckbert | Published Friday, December 04, 2009 | Last modified Saturday, April 27, 2013This NetLogo model represents hunters and forestry road development in a spatial landscape. The cumulative effects of multiple resource use is explored.
Collective Cognition in Online Conversations
Paul Dwyer | Published Saturday, November 28, 2009 | Last modified Saturday, April 27, 2013Used in working paper: MEASURING COLLECTIVE COGNITION IN ONLINE CONVERSATIONS
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