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 4 of 4 results consumer choice clear search
A Consumer in the Jungle of Product Differentiation
Alessio Emanuele Biondo Alfio Giarlotta Alessandro Pluchino Andrea Rapisarda | Published Tuesday, December 22, 2015Building upon the distance-based Hotelling’s differentiation idea, we describe the behavioral experience of several prototypes of consumers, who walk a hypothetical cognitive path in an attempt to maximize their satisfaction.
Memetic Exploration of Demand
rolanmd | Published Monday, August 09, 2010 | Last modified Saturday, April 27, 2013In this presentation, we use the concept of meme to explore evolution of demand.
A consumer-demand simulation for Smart Metering tariffs (Innovation Diffusion)
Martin Rixin | Published Thursday, August 18, 2011 | Last modified Saturday, April 27, 2013An Agent-based model simulates consumer demand for Smart Metering tariffs. It utilizes the Bass Diffusion Model and Rogers´s adopter categories. Integration of empirical census microdata enables a validated socio-economic background for each consumer.
Alternative Fuel Design/Consumer Choice Model
Rosanna Garcia | Published Wednesday, September 22, 2010 | Last modified Saturday, April 27, 2013This is a model of the diffusion of alternative fuel vehicles based on manufacturer designs and consumer choices of those designs. It is written in Netlogo 4.0.3. Because it requires data to upload