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 9 of 29 results for 'Nicholas Mark Gotts'
The dynamic agent-based model of market of single commodity and process of setting of prices
Mark Voronovitsky | Published Saturday, January 24, 2009 | Last modified Saturday, April 27, 2013The dynamic agent based model of system which turn out the self-adjusting system, are considered in this text.
FLOSSSim: An Agent-Based Model of the Free/Libre Open Source Software (FLOSS) Development Process
Nicholas Radtke | Published Saturday, December 31, 2011 | Last modified Saturday, April 27, 2013An agent-based model of the Free/Libre Open Source Software (FLOSS) development process designed around agents selecting FLOSS projects to contribute to and/or download.
A Simulation of Entrepreneurial Spawning
Mark Bagley | Published Wednesday, June 08, 2016 | Last modified Friday, June 30, 2017Industrial clustering patterns are the result of an entrepreneurial process where spinoffs inherit the ideas and attributes of their parent firms. This computational model maps these patterns using abstract methodologies.
Peer reviewed Simulating the Economic Impact of Boko Haram on a Cameroonian Floodplain
Nathaniel Henry Sarah Laborde Mark Moritz | Published Saturday, October 22, 2016 | Last modified Wednesday, June 07, 2017This model examines the potential impact of market collapse on the economy and demography of fishing households in the Logone Floodplain, Cameroon.
Peer reviewed Family Herd Demography
Abigail Buffington Andrew Yoak Ian M Hamilton Rebecca Garabed Mark Moritz | Published Monday, August 15, 2016 | Last modified Saturday, January 06, 2018The model examines the dynamics of herd growth in African pastoral systems. We used it to examine the role of scale (herd size) stochasticity (in mortality, fertility, and offtake) on herd growth.
Land-Livelihood Transitions
Nicholas Magliocca Daniel G Brown Erle C Ellis | Published Monday, September 09, 2013 | Last modified Friday, September 13, 2013Implemented as a virtual laboratory, this model explores transitions in land-use and livelihood decisions that emerge from changing local and global conditions.
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.
ABODE - Agent Based Model of Origin Destination Estimation
D Levinson | Published Monday, August 29, 2011 | Last modified Saturday, April 27, 2013The agent based model matches origins and destinations using employment search methods at the individual level.
CEDSS is an agent-based model of domestic energy demand at the level of a small community.
Displaying 9 of 29 results for 'Nicholas Mark Gotts'