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 1035 results for "Clint A Penick" clear search
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.
Success bias imitation increases the probability of effectively dealing with ecological disturbances
Jacopo Baggio Vicken Hillis | Published Thursday, April 13, 2017 | Last modified Thursday, August 02, 2018This model aims to investigate how different type of learning (social system) and disturbance specific attributes (ecological system) influence adoption of treatment strategies to treat the effects of ecological disturbances.
Managing ecological disturbances: Learning and the structure of social-ecological networks
Jacopo Baggio Vicken Hillis | Published Friday, March 03, 2017 | Last modified Thursday, August 02, 2018The aim of this model is to explore and understand the factors driving adoption of treatment strategies for ecological disturbances, considering payoff signals, learning strategies and social-ecological network structure
SimDrink: An agent-based NetLogo model of young, heavy drinkers for conducting alcohol policy experiments
Nick Scott Michael Livingston Aaron Hart James Wilson David Moore Paul Dietze | Published Friday, September 25, 2015 | Last modified Thursday, October 15, 2015A proof-of-concept agent-based model ‘SimDrink’, which simulates a population of 18-25 year old heavy alcohol drinkers on a night out in Melbourne to provide a means for conducting policy experiments to inform policy decisions.
Replication of a Social-Links-Evolution-Model
Sascha Holzhauer | Published Wednesday, December 01, 2010 | Last modified Saturday, April 27, 2013ReSolEvo File output version
Human mate choice is a complex system
Paul Smaldino Jeffrey C Schank | Published Friday, February 08, 2013 | Last modified Saturday, April 27, 2013A general model of human mate choice in which agents are localized in space, interact with close neighbors, and tend to range either near or far. At the individual level, our model uses two oft-used but incompletely understood decision rules: one based on preferences for similar partners, the other for maximally attractive partners.
A Mathematical Model of The Beer Game
Mert Edali Hakan Yasarcan | Published Wednesday, November 05, 2014This is the R code of the mathematical model that includes the decision making formulations for artificial agents. This code corresponds to equations 1-70 given in the paper “A Mathematical Model of The Beer Game”.
A Model of Social and Cognitive Coherence
Bruce Edmonds | Published Saturday, July 09, 2016 | Last modified Saturday, July 09, 2016This is a model of coherency based belief within a dynamic network of individuals. Described in an invited talk on workshop on Coherence, Berlin, 9th July 2016.
A spatial model of resource-consumer dynamics
Guus Ten Broeke George Ak Van Voorn Arend Ligtenberg Jaap Molenaar | Published Wednesday, January 11, 2017 | Last modified Thursday, September 17, 2020The model simulates agents in a spatial environment competing for a common resource that grows on patches. The resource is converted to energy, which is needed for performing actions and for surviving.
Transport simulation in a real road network
Jiaqi Ge Gary Polhill | Published Tuesday, April 17, 2018 | Last modified Tuesday, April 17, 2018Ge, J., & Polhill, G. (2016). Exploring the Combined Impact of Factors Influencing Commuting Patterns and CO2 Emission in Aberdeen Using an Agent-Based Model. Journal of Artificial Societies and Social Simulation, 19(3). http://jasss.soc.surrey.ac.uk/19/3/11.html
We develop an agent-based transport model using a realistic GIS-enabled road network and the car following method. The model can be used to study the impact of social interventions such as flexi-time and workplace sharing, as well as large infrastructure such as the construction of a bypass or highway. The model is developed in Netlogo version 5 and requires road network data in GIS format to run.
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