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 5 of 5 results for 'Sarah%20Wolf'
Peer reviewed Agent-Based Ramsey growth model with endogenous technical progress (ABRam-T)
Aida Sarai Figueroa Alvarez Sarah Wolf 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.
Peer reviewed Reduced Mobility Transition Model (R-MoTMo)
Gesine Steudle Steffen Fürst Sarah Wolf | Published Tuesday, December 06, 2022The Mobility Transition Model (MoTMo) is a large scale agent-based model to simulate the private mobility demand in Germany until 2035. Here, we publish a very much reduced version of this model (R-MoTMo) which is designed to demonstrate the basic modelling ideas; the aim is by abstracting from the (empirical, technological, geographical, etc.) details to examine the feed-backs of individual decisions on the socio-technical system.
SLUCEII LUXE (Land Use in an eXurban Environment)
Shipeng Sun Dawn Parker Qingxu Huang Dan Brown Tatiana Filatova Rick L Riolo Derek Robinson Meghan Hutchins | Published Tuesday, September 10, 2013 | Last modified Saturday, October 22, 2022LUXE is a land-use change model featuring different levels of land market implementation. It integrates utility measures, budget constraints, competitive bidding, and market interactions to model land-use change in exurban environment.
The purpose of this model is to enhance a basic ABM through a simple set of rules identified using the activity-driven models in order to produce more realistic patterns of pedestrian movement.
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.