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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Exploring homeowners' insulation activity
Georg Holtz Emile Chappin Jonas Friege | Published Monday, June 01, 2015 | Last modified Monday, April 08, 2019We built an agent-based model to foster the understanding of homeowners’ insulation activity.
Spatial model of the noisy Prisoner's Dilemma with reward shift
Matus Halas | Published Thursday, March 05, 2015 | Last modified Tuesday, May 29, 2018Interactions of players embedded in a closed square lattice are determined by distance and overall gains and they lead to shifts of reward payoff between temptation and punishment. A new winner balancing against threats is ultimately discovered.
Life Cycle Cost of Military Manpower Model
Jonathan Ozik Todd Combs | Published Monday, January 05, 2015We demonstrate how Repast Simphony statecharts can efficiently encapsulate the deep classification hierarchy of the U.S. Air Force for manpower life cycle costing.
Last Mile Commuter Behavior Model
Dean Massey Moira Zellner Yoram Shiftan Jonathan Levine Maria Arquero | Published Friday, November 07, 2014 | Last modified Friday, November 07, 2014We represent commuters and their preferences for transportation cost, time and safety. Agents assess their options via their preferences, their environment, and the modes available. The model has policy levers to test impact on last-mile problem.
Peer reviewed Hohokam Trade Networks Model
Joshua Watts | Published Sunday, October 26, 2014The Hohokam Trade Networks Model focuses on key features of the Hohokam economy to explore how differences in trade network topologies may show up in the archaeological record. The model is set in the Phoenix Basin of central Arizona, AD 200-1450.
A minimal assumption based agent based simulation model of the emergence of technological innovation
Yuan Zhao Roland Ortt Bernhard Katzy | Published Sunday, October 19, 2014This simulation model is to simulate the emergence of technological innovation processes from the hypercycles perspective.
Emerging innovation niches model
Antonio Lopolito Richard Taylor Piergiuseppe Morone | Published Monday, September 22, 2014Objective of our model is to simulate the emergence and operation of a technological niches (TN) in terms of actors’ interaction. A TN can be conceived as protected socio-economic space where radical innovations are developed and tested
The model implements a model that reflects features of a rural hill village in Nepal. Key features of the model include water storage, social capital and migration of household members who then send remittances back to the village.
A model of urban expansion policy scenarios using an agent-based approach—a case of the Guangzhou Metropolitan Region of China
Guangjin Tian | Published Friday, March 21, 2014Three policy scenarios for urban expansion under the influences of the behaviours and decision modes of four agents and their interactions have been applied to predict the future development patterns of the Guangzhou metropolitan region.
Concession Forestry Modeling
Andrew Bell Daniel G Brown Rick L Riolo Jacqueline M Doremus Thomas P Lyon John Vandermeer Arun Agrawal | Published Thursday, January 23, 2014A logging agent builds roads based on the location of high-value hotspots, and cuts trees based on road access. A forest monitor sanctions the logger on observed infractions, reshaping the pattern of road development.
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