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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Nudging agents in social networks for collective action
Marco Janssen | Published Sunday, August 14, 2011 | Last modified Sunday, March 17, 2019Agents are linked in a social-network and make decisions on which of 2 types of behavior to adopt. We explore consequences of different information feedback and providing targeted feedback to individuals.
NetCommons
Francisco Miguel Quesada | Published Wednesday, May 18, 2011 | Last modified Saturday, April 27, 2013NetCommons simulates a social dilemma process in case of step-level public goods. Is possible to generate (or load from DL format) any different networks, to change initial parameters, to replicate a number of experimental situations, and to obtain a event history database in CSV format with information about the context of each agents’ decision, the individual behavior and the aggregate outcomes.
An agent based simulation and data mining framework for scenario analysis of technology products
Moeed Haghnevis | Published Monday, December 13, 2010 | Last modified Saturday, April 27, 2013The objective of this study is to create a framework to simulate and analyze the effect of multiple business scenarios on the adoption behavior of a group of technology products.
Simulation of the Long-term Effects of Decentralized and Adaptive Investments in Cross-agency Interoperable and Standard Systems
Sungho Lee | Published Sunday, May 10, 2009 | Last modified Saturday, April 27, 2013Agent-based model using Blanche software 4.6.5. Blanche software is included in the dataset file.
Agent-based Modeling of Evolving Intergovernmental Networks
Sungho Lee | Published Thursday, January 29, 2009 | Last modified Saturday, April 27, 2013This agent-based model using ‘Blanche’ software provides policy-makers with a simulation-based demonstration illustrating how autonomous agents network and operate complementary systems in a decentral
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