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 8 of 18 results decision-making process clear search
Mobility, Ethnicity, and Language-Based Immigrant Settlement Model - MELBIS
Liliana Perez Jonathan Gaudreau Suzana Dragicevic Taylor Anderson Aaron Leung | Published Monday, June 14, 2021 | Last modified Monday, June 14, 2021MELBIS-V1 is a spatially explicit agent-based model that allows the geospatial simulation of the decision-making process of newcomers arriving in the bilingual cities and boroughs of the island of Montreal, Quebec in CANADA, and the resulting urban segregation spatial patterns. The model was implemented in NetLogo, using geospatial raster datasets of 120m spatial resolution.
MELBIS-V2 enhances MELBIS-V1 to implement and simulate the decision-making processes of incoming immigrants, and to analyze the resulting spatial patterns of segregation as immigrants arrive and settle in various cities in Canada. The arrival and segregation of immigrants is modeled with MELBIS-V2 and compared for three major Canadian immigration gateways, including the City of Toronto, Metro Vancouver, and the City of Calgary.
Peer reviewed Empathy & Power
J M Applegate Ned Wellman | Published Monday, November 13, 2017 | Last modified Thursday, December 21, 2017The purpose of this model is to explore the effects of different power structures on a cross-functional team’s prosocial decision making. Are certain power distributions more conducive to the team making prosocial decisions?
An agent-based approach to weighted decision making in the spatially and temporally variable South African Paleoscape
Colin Wren | Published Thursday, December 29, 2016This model simulates a foraging system based on Middle Stone Age plant and shellfish foraging in South Africa.
STECCAR: a simulation of the diffusion of electric cars
A Kangur Lc Verbrugge W Jager M Bockarjova | Published Sunday, November 29, 2015In this Repast model the ‘Consumat’ cognitive framework is applied to an ABM of the Dutch car market. Different policy scenarios can be selected or created to examine their effect on the diffusion of EVs.
Demographic microsimulation for individuals and couples
Sabine Zinn | Published Wednesday, January 14, 2015The simulation model conducts fine-grained population projection by specifying life course dynamics of individuals and couples by means of traditional demographic microsimulation and by using agent-based modeling for mate matching.
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.
Collective Decision Making for Ecological Restoration
Dean Massey Moira Zellner Cristy Watkins Jeremy Brooks Kristen Ross | Published Friday, December 30, 2011 | Last modified Friday, November 21, 2014We present an agent-based model that maps out and simulates the processes by which individuals within ecological restoration organizations communicate and collectively make restoration decisions.
An empirical ABM for regional land use/cover change: a Dutch case study
Diego Valbuena | Published Saturday, March 12, 2011 | Last modified Thursday, November 11, 2021This is an empirical model described in http://dx.doi.org/10.1016/j.landurbplan.2010.05.001. The objective of the model is to simulate how the decision-making of farmers/agents with different strategies can affect the landscape structure in a region in the Netherlands.
Displaying 8 of 18 results decision-making process clear search