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.
Displaying 4 of 4 results for "Ammar Malik" clear search
Exploring Creativity and Urban Development with Agent-Based Modeling
Ammar Malik Andrew Crooks Hilton Root Melanie Swartz | Published Thursday, October 30, 2014An agent-based model which explores Creativity and Urban Development
Village level varietal dynamics of Sorghum in Mali
Geraldine Abrami | Published Thursday, December 03, 2009 | Last modified Saturday, April 27, 2013Final project version - still needs a bit of work for being completly operational
AMMA: Agent-based Model of the Media Arena
Annie Waldherr | Published Tuesday, February 11, 2014The AMMA simulates how news waves emerge in the mass media. Drawing on the ideas of public arena models and issue-attention cycles, it represents fundamental principles of public communication in a virtual media system.
Peer reviewed Agent-Based Ramsey growth model with endogenous technical progress (ABRam-T)
Sarah Wolf Aida Sarai Figueroa Alvarez Malika Tokpanova | Published Wednesday, February 14, 2024 | Last modified Monday, February 19, 2024The Agent-Based Ramsey growth model is designed to analyze and test a decentralized economy composed of utility maximizing agents, with a particular focus on understanding the growth dynamics of the system. We consider farms that adopt different investment strategies based on the information available to them. The model is built upon the well-known Ramsey growth model, with the introduction of endogenous technical progress through mechanisms of learning by doing and knowledge spillovers.