Computational Model Library

Displaying 10 of 896 results for "Jan Van Bavel" clear search

Classrooms; teachers, students and learning

petertymms | Published Wednesday, October 07, 2020

This a phenomenon-based model plan. Classroom in school are places when students are supposed to learn and the most often do. But things can go awry, the students can play up and that can result in an unruly class and learning can suffer. This model aims to look at how much students learn according to how good the teacher is a classroom control and how good he or she is at teaching per se.

AGENTS model is an agent-based computational framework designed to explore the socio-ecological and economic dynamics of agricultural production in the Byzantine Negev Highlands, with a focus on viticulture. It integrates historical, environmental, and social factors to simulate settlement sustainability, crop yields, and the impacts of varying climate conditions. The model is built in NetLogo and incorporates GIS-based topographical and hydrological data. Key features include the ability to assess climate impacts on crop profitability and settlement strategies, evaluate economic outputs of ancient vineyards, and simulate agent decision-making processes under diverse scenarios.

The AGENTS model is highly flexible, enabling users to simulate agricultural regimes with any two crops: one cash crop (a crop grown for profit, e.g., grapevines) and one staple crop (a crop grown for subsistence, e.g., wheat). While the default setup models viticulture and wheat cultivation in the Byzantine Negev Highlands, users can adapt the model to different environmental and socio-ecological contexts worldwide—both past and present.

Users can load external files to customize precipitation, evaporation, topography, and labor costs (measured as man-days per 0.1ha, converted to kg of wheat per model patch size area), and can also edit key parameters related to yield calculations. This includes modifying crop-specific yield formulas, soil and runoff indices, and any factors influencing crop performance. The model inherently simulates cash crops grown in floodplain regions and staple crops cultivated along riverbanks, providing a powerful tool to investigate societal resilience and responses to climate stressors across diverse environments.

Obligation norm identification in multi-agent societies

Tony Savarimuthu | Published Tuesday, June 29, 2010 | Last modified Saturday, April 27, 2013

This model describes a mechanism by which software agents can identify norms in an artificial agent society. In particular, this model uses a sequence mining approach to identify norms in an agent soc

The purpose of this model is to explore the influence of integrating individuals’ behavioral dynamics in an agent-based model of COVID-19, on the dynamics of disease transmission. The model is an agent-based extention of an established large-scale Individual-based model called STRIDE. Four risk factors determine the individual’s perception of the risk and how they behave accordingly. It is assumed that individuals with higher levels of risk perception adopt higher levels of contact reduction in their daily routines. Individuals can assign different weights to any of the four different risk factors, i.e., the modeler can model different populations and explore how the transmission dynamics vary among them.

Modelling Electricity Consumption in Office Buildings: An Agent Based Approach

Tao Zhang | Published Thursday, May 19, 2011 | Last modified Saturday, April 27, 2013

This is the electronic companion to the paper “Modelling Electricity Consumption in Office Buildings: An Agent Based Approach”

9 Maturity levels in Empirical Validation - An innovation diffusion example

Martin Rixin | Published Wednesday, October 19, 2011 | Last modified Saturday, April 27, 2013

Several taxonomies for empirical validation have been published. Our model integrates different methods to calibrate an innovation diffusion model, ranging from simple randomized input validation to complex calibration with the use of microdata.

This model is based on Joshua Epstein’s (2001) model on development of thoughtless conformity in an artificial society of agents.

MERCURY: an ABM of tableware trade in the Roman East

Tom Brughmans Jeroen Poblome | Published Thursday, September 25, 2014 | Last modified Friday, May 01, 2015

MERCURY aims to represent and explore two descriptive models of the functioning of the Roman trade system that aim to explain the observed strong differences in the wideness of distributions of Roman tableware.

This agent-based model represents a stylized inter-organizational innovation network where firms collaborate with each other in order to generate novel organizational knowledge.

An Agent-based model of the economy with consumer credit

Paola D'Orazio Gianfranco Giulioni | Published Friday, April 15, 2016 | Last modified Thursday, March 07, 2019

The model was built to study the links between consumer credit, wealth distribution and aggregate demand in a complex macroeconomics system.

Displaying 10 of 896 results for "Jan Van Bavel" clear search

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