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 10 of 57 results household clear
BENCHv.2 model
Leila Niamir | Published Sunday, April 28, 2019The BENCH agent-based model is designed and developed to study shifts in residential energy use and corresponding emissions driven by behavioral changes among heterogeneous individuals.
“Food for all” (FFD)
José Ignacio Santos Martín José Manuel Galán Andreas Angourakis Andrea L Balbo | Published Friday, April 25, 2014 | Last modified Monday, April 08, 2019“Food for all” (FFD) is an agent-based model designed to study the evolution of cooperation for food storage. Households face the social dilemma of whether to store food in a corporate stock or to keep it in a private stock.
Last Mile Commuter Behavior Model
Moira Zellner Dean Massey 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.
A land-use model to illustrate ambiguity in design
Julia Schindler | Published Monday, October 15, 2012 | Last modified Friday, January 13, 2017This is an agent-based model that allows to test alternative designs for three model components. The model was built using the LUDAS design strategy, while each alternative is in line with the strategy. Using the model, it can be shown that alternative designs, though built on the same strategy, lead to different land-use patterns over time.
Mobility USA (MUSA)
Davide Natalini Giangiacomo Bravo | Published Sunday, December 08, 2013 | Last modified Monday, December 30, 2013MUSA is an ABM that simulates the commuting sector in USA. A multilevel validation was implemented. Social network with a social-circle structure included. Two types of policies have been tested: market-based and preference-change.
Income Model
Tony Lawson | Published Monday, August 26, 2013This is the code for the model described in an article in the International Journal of Microsimulation. Lawson (2013) ‘Modelling Household Spending Using a Random Assignment Scheme’, International Journal of Microsimulation, 6(2) Autumn 2013, 56-75.
Peer reviewed Swidden Farming Version 2.0
C Michael Barton | Published Wednesday, June 12, 2013 | Last modified Wednesday, September 03, 2014Model of shifting cultivation. All parameters can be controlled by the user or the model can be run in adaptive mode, in which agents innovate and select parameters.
Land Use in the Chitwan Valley
Alex Zvoleff | Published Monday, June 02, 2014chitwanabm is a spatially explicit agent-based model of population and land use in the Chitwan Valley, Nepal, designed to explore feedbacks between population and environment, with a heavy focus on community context and individual-level variation.
Interactions between organizations and social networks in common-pool resource governance
Phesi Project | Published Monday, October 29, 2012 | Last modified Saturday, April 27, 2013Explores how social networks affect implementation of institutional rules in a common pool resource.
Ageing and Spending
Tony Lawson | Published Tuesday, October 06, 2015How natural population ageing affects UK household spending patterns.
Displaying 10 of 57 results household clear