Computational Model Library

Displaying 10 of 981 results for "Dave van Wees" clear search

An agent-based model to study the effects of trust in coalition formation

Luis Gustavo Nardin | Published Wednesday, August 31, 2011 | Last modified Saturday, April 27, 2013

This model is an agent-based simulation that consists of agents who play the spatial prisioner’s dilemma game with coalition formation. The coalition dynamics are mainly influenced by how much the agents trust their leaders. The main objective is provide a simulation model to enable the analysis of the impacts that the use of trust may cause in coalition formation.

An Agent-Based Model of Internet Diffusion Under General and Specific Network Externalities

Filiz Garip | Published Friday, April 27, 2012 | Last modified Saturday, April 27, 2013

Using nodes from the 2002 General Social Survey sample, the code establishes a network of ties with a given homophily bias, and simulates Internet adoption rates in that network under three conditions: (i) no network externalities, (ii) general network externalities, where an individual’s reservation price is a function of the overall adoption rate in the network, (iii) specific network externalities, where reservation price is a function of the adoption rate in individual’s personal […]

Aspiration, Attainment and Success: An agent-based model of distance-based school allocation

James Millington | Published Friday, November 02, 2012 | Last modified Friday, July 03, 2015

The purpose of this model is to investigate mechanisms driving the geography of educational inequality and the consequences of these mechanisms for individuals with varying attributes and mobility.

This agent-based model explores the existence of positive feedback loops related to illegal, unregulated, unreported (IUU) fishing; the use of forced labor; and the depletion of fish populations due to commercial fishing.

LogoClim: WorldClim in NetLogo

Daniel Vartanian Leandro Garcia Aline Martins de Carvalho Aline | Published Thursday, July 03, 2025 | Last modified Tuesday, September 16, 2025

LogoClim is a NetLogo model for simulating and visualizing global climate conditions. It allows researchers to integrate high-resolution climate data into agent-based models, supporting reproducible research in ecology, agriculture, environmental sciences, and other fields that rely on climate data.

The model utilizes raster data to represent climate variables such as temperature and precipitation over time. It incorporates historical data (1951-2024) and future climate projections (2021-2100) derived from global climate models under various Shared Socioeconomic Pathways (SSPs, O’Neill et al., 2017). All climate inputs come from WorldClim 2.1, a widely used source of high-resolution, interpolated climate datasets based on weather station observations worldwide (Fick & Hijmans, 2017).

LogoClim follows the FAIR Principles for Research Software (Barker et al., 2022) and is openly available on the CoMSES Network and GitHub. See the Logônia model for an example of its integration into a full NetLogo simulation.

Linear Threshold

Kaushik Sarkar | Published Saturday, November 03, 2012 | Last modified Saturday, April 27, 2013

NetLogo implementation of Linear Threshold model of influence propagation.

FLOSSSim: An Agent-Based Model of the Free/Libre Open Source Software (FLOSS) Development Process

Nicholas Radtke | Published Saturday, December 31, 2011 | Last modified Saturday, April 27, 2013

An agent-based model of the Free/Libre Open Source Software (FLOSS) development process designed around agents selecting FLOSS projects to contribute to and/or download.

Positive feedback can lead to “trapping” in local optima. Adding a simple negative feedback effect, based on ant behaviour, prevents this trapping

Hominin Ecodynamics v.1.1 (update for perception and interaction)

C Michael Barton | Published Wednesday, August 15, 2012 | Last modified Saturday, April 27, 2013

Models land-use, perception, and biocultural interactions between two forager populations.

Consumer diets and values ABM

Natalie Davis Merlin Radbruch Dean Bucciarelli | Published Thursday, December 22, 2022 | Last modified Wednesday, March 05, 2025

An agent-based model of individual consumers making choices between five possible diets: omnivore, flexitarian, pescatarian, vegetarian, or vegan. Each consumer makes decisions based on personal constraints and values, and their perceptions of how well each diet matches with those values. Consumers can also be influenced by each other’s perceptions via interaction across three social networks: household members, friends, and acquaintances.

Displaying 10 of 981 results for "Dave van Wees" clear search

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept