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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An Agent-Based School Choice Matching Model
Connie Wang Weikai Chen Shu-Heng Chen | Published Sunday, February 01, 2015 | Last modified Wednesday, March 06, 2019This model is to simulate and compare the admission effects of 3 school matching mechanisms, serial dictatorship, Boston mechanism, and Chinese Parallel, under different settings of information released.
06 EiLab V1.36 – Entropic Index Laboratory
Garvin Boyle | Published Saturday, January 31, 2015 | Last modified Friday, April 14, 2017EiLab explores the role of entropy in simple economic models. EiLab is one of several models exploring the dynamics of sustainable economics – PSoup, ModEco, EiLab, OamLab, MppLab, TpLab, and CmLab.
An Agent-Based Model of Corruption: Micro Approach
Valery Dzutsati | Published Friday, January 30, 2015 | Last modified Sunday, September 27, 2015Endogenous social transition from a high-corruption state to a low-corruption state, replication of Hammond 2009
The emergence of tag-mediated altruism in structured societies
David Hales Shade Shutters | Published Tuesday, January 20, 2015 | Last modified Thursday, March 02, 2023This abstract model explores the emergence of altruistic behavior in networked societies. The model allows users to experiment with a number of population-level parameters to better understand what conditions contribute to the emergence of altruism.
Demographic microsimulation for individuals and couples
Sabine Zinn | Published Wednesday, January 14, 2015The simulation model conducts fine-grained population projection by specifying life course dynamics of individuals and couples by means of traditional demographic microsimulation and by using agent-based modeling for mate matching.
Effect of communication in irrigation games
Jacopo A. Baggio Marco Janssen | Published Wednesday, January 14, 2015 | Last modified Wednesday, August 09, 2017The model includes different formulations how agents make decisions in irrigation games and this is compared with empirical data. The aim is to test different theoretical models, especially explaining effect of communication.
Homophily-driven Network Evolution and Diffusion
Gönenç Yücel Mustafa Yavaş | Published Thursday, January 08, 2015The model is an experimental ground to study the impact of network structure on diffusion. It allows to construct a social network that already has some measurable level of homophily, and simulate a diffusion process over this social network.
CA-MRSA Demonstration Model
Jonathan Ozik Charles Macal Kenneth Letendre Irene Lee | Published Tuesday, January 06, 2015We demonstrate how a simple model of community associated Methicillin-resistant Staphylococcus aureus (CA-MRSA) can be easily constructed by leveraging the statecharts and ReLogo capabilities in Repast Simphony.
A simplified Arthur & Polak logic circuit model of combinatory technology build-out via incremental development. Only some inventions trigger radical effects, suggesting they depend on whole interdependent systems rather than specific innovations.
Peak-seeking Adder
Julia Kasmire Janne M Korhonen | Published Tuesday, December 02, 2014 | Last modified Friday, February 20, 2015Continuing on from the Adder model, this adaptation explores how rationality, learning and uncertainty influence the exploration of complex landscapes representing technological evolution.
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