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 norms that facilitate software citation, archival, interoperability, and reuse. Model authors can also request that their model code be peer reviewed 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 archive tutorial or 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 4 of 4 results farmer decision making clear
WEEM (Woodlot Establishment and Expansion Model)
Vianny Ahimbisibwe Jürgen Groeneveld Melvin Lippe Susan Balaba Tumwebaze Eckhard Auch Uta Berger | Published Monday, September 27, 2021The agent-based model WEEM (Woodlot Establishment and Expansion Model) as described in the journal article, has been designed to make use of household socio-demographics (household status, birth, and death events of households), to better understand the temporal dynamics of woodlot in the buffer zones of Budongo protected forest reserve, Masindi district, Uganda. The results contribute to a mechanistic understanding of what determines the current gap between intention and actual behavior in forest land restoration at farm level.
FEARLUS-SPOMM
Gary Polhill Nick Gotts Alistair Law Luis Izquierdio Alessandro Gimona Lee-Ann Sutherland Dawn Parker | Published Friday, March 25, 2016This is a coupled conceptual model of agricultural land decision-making and incentivisation and species metacommunities.
Impact of Seasonal Forecast Use on Agricultural Income in a System with Varying Crop Costs and Returns
Thushara Gunda Josh T Bazuin John Nay Kam L Yeung | Published Tuesday, February 07, 2017The objective of the model is to evaluate the impact of seasonal forecasts on a farmer’s net agricultural income when their crop choices have different and variable costs and returns.
Exploring social psychology theory for modelling farmer decision-making
James Millington | Published Tuesday, September 18, 2012 | Last modified Saturday, April 27, 2013To investigate the potential of using Social Psychology Theory in ABMs of natural resource use and show proof of concept, we present an exemplary agent-based modelling framework that explicitly represents multiple and hierarchical agent self-concepts