Our mission is to help computational modelers develop, document, and share their computational models in accordance with community standards and good open science and software engineering practices. Model authors can publish their model source code in the Computational Model Library with narrative documentation as well as metadata that supports open science and emerging norms that facilitate software citation, computational reproducibility / frictionless reuse, and interoperability. Model authors can also request private peer review of their computational models. Models that pass peer review receive a DOI once published.
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 feel free to contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
Displaying 10 of 993 results for "M Van Den Hoven" clear search
A minimal assumption based agent based simulation model of the emergence of technological innovation
Yuan Zhao Roland Ortt Bernhard Katzy | Published Sunday, October 19, 2014This simulation model is to simulate the emergence of technological innovation processes from the hypercycles perspective.
Institutional change
Abigail Sullivan | Published Friday, October 07, 2016 | Last modified Sunday, December 02, 2018This model builds on another model in this library (“diffusion of culture”).
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.
A multithreaded PPHPC replication in Java
Nuno Fachada | Published Saturday, October 31, 2015 | Last modified Tuesday, January 19, 2016A multithreaded replication of the PPHPC model in Java for testing different ABM parallelization strategies.
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.
Agent-based model for the socio-economic monitoring of visitor streams
Stefan Mohr | Published Saturday, January 20, 2018Due to the large extent of the Harz National Park, an accurate measurement of visitor numbers and their spatiotemporal distribution is not feasible. This model demonstrates the possibility to simulate the streams of visitors with ABM methodology.
Drafting agent-based modeling into basketball analytics
Matthew Oldham | Published Tuesday, February 19, 2019An agent-based simulation of a game of basketball. The model implements most components of a standard game of basketball. Additionally, the model allows the user to test for the effect of two separate cognitive biases – the hot-hand effect and a belief in the team’s franchise player.
Multi-agent model of the spread of climate change denial
Kalina Maria Piskorska Martin Takáč | Published Monday, March 03, 2025This NetLogo model simulates the spread of climate change beliefs within a population of individuals. Each believer has an initial belief level, which changes over time due to interactions with other individuals and exposure to media. The aim of the model is to identify possible methods for reducing climate change denial.
Endogenous Corruption as a Cellular Automaton
Warren Vierheller | Published Wednesday, June 27, 2018The model explores how corruption may spread endogenously within a closed society by depicting the behavior within a cellular automaton context (CA) between bureaucrats and citizens. Within the model, corruption is characterized as a behavior product dependent upon an individual’s personal disposition towards honesty, rational decisionmaking processes, and neighbors’ behavior.
The Effect of Individual and Collective Characteristics on Team Performance: A Model of Networked Agents Engaged in Collective Problem Solving
Amin Boroomand | Published Tuesday, March 16, 2021 | Last modified Monday, July 26, 2021This code is for an agent-based model of collective problem solving in which agents with different behavior strategies, explore the NK landscape while they communicate with their peers agents. This model is based on the famous work of Lazer, D., & Friedman, A. (2007), The network structure of exploration and exploitation.
Displaying 10 of 993 results for "M Van Den Hoven" clear search