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.
Displaying 7 of 57 results adaptive clear
An adaptive model of homing pigeons: A genetic algorithm approach
Francis Oloo Gudrun Wallentin | Published Friday, January 27, 2017In this model, we simulate the navigation behavior of homing pigeons. Specifically we use genetic algorithms to optimize the navigation and flocking parameters of pigeon agents.
How to not get stuck – an ant model showing how negative feedback due to crowding maintains flexibility in ant foraging
Tomer Czaczkes | Published Thursday, December 17, 2015Positive feedback can lead to “trapping” in local optima. Adding a simple negative feedback effect, based on ant behaviour, prevents this trapping
Coupled Housing and Land Markets (CHALMS)
Nicholas Magliocca Virginia Mcconnell Margaret Walls | Published Friday, November 02, 2012 | Last modified Monday, October 27, 2014CHALMS simulates housing and land market interactions between housing consumers, developers, and farmers in a growing ex-urban area.
Universal Darwinism in Dutch Greenhouses
Julia Kasmire | Published Wednesday, May 09, 2012 | Last modified Saturday, April 27, 2013An ABM, derived from a case study and a series of surveys with greenhouse growers in the Westland, Netherlands. Experiments using this model showshow that the greenhouse horticulture industry displays diversity, adaptive complexity and an uneven distribution, which all suggest that the industry is an evolving system.
Agent-based model of sexual partnership
Andrea Knittel | Published Monday, December 05, 2011 | Last modified Saturday, April 27, 2013In this model agents meet, evaluate one another, decide whether or not to date, if and when to become sexual partners, and when to break up.
FlowLogo: An agent-based platform for simulating complex human-aquifer interactions in managed groundwater systems
Juan Carlos Castilla-Rho | Published Sunday, August 30, 2015FlowLogo integrates agent-based and groundwater flow simulation. It aims to simplify the process of developing participatory ABMs in the groundwater space and begin the exploration of novel, bottom-up solutions to conflicts in shared aquifers.
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.
Displaying 7 of 57 results adaptive clear