Computational Model Library

Displaying 10 of 213 results NetLogo clear search

Tiebout sorting

Marco Janssen | Published Thursday, January 24, 2019

This Netlogo replication of Kollman, K., J.H. Miller and S.E. Page (1997) Political Institutions and Sorting in a Tiebout Model, American Economic Review 87(5): 977-992. The model consists of of citizens who can vote for partie and move to other jurisdictions if they expect their preferences are better served. Parties adjust their positions to increase their share in the elections.

Neolithic Spread Model Version 1.0

Sean Bergin Michael Barton Salvador Pardo Gordo Joan Bernabeu Auban | Published Thursday, December 11, 2014 | Last modified Monday, December 31, 2018

This model simulates different spread hypotheses proposed for the introduction of agriculture on the Iberian peninsula. We include three dispersal types: neighborhood, leapfrog, and ideal despotic distribution (IDD).

Gentrilab

Adrian Lara | Published Monday, December 17, 2018

Development of a Multiagent System for the Analysis of Gentrification in Latin America, an Agent-Based Model

BorealFireSIM Model

Liliana Perez Jonathan Gaudreau | Published Thursday, December 13, 2018

BorealFireSIM is a cellular automaton based model that serves to identify future fire patterns in the boreal forest of Quebec, Canada. The model simulates yearly fire seasons and adjusts decadal climate variables based on two future carbon pathways (RCP45 (low emissions) and RCP85 (business as usual)). The BorealFireSIM model simulates future fire patterns up to the year 2100.

Social norms and the dominance of Low-doers

Antonio Franco | Published Wednesday, July 13, 2016 | Last modified Sunday, December 02, 2018

The code for the paper “Social norms and the dominance of Low-doers”

RefugeePathSIM Model

Guillaume Arnoux Hébert Liliana Perez Saeed Harati | Published Thursday, October 11, 2018 | Last modified Tuesday, October 16, 2018

RefugeePathSIM is an agent-based model to simulate the movement behavior of refugees in order to identify pathways of forced migration under crisis. The model generates migrants and lets them leave conflict areas for a destination that they choose based on their characteristics and desires. RefugeePathSIM has been developed and applied in a study of the Syrian war, using monthly data in years 2011-2015.

Network structures tutorial

Tom Brughmans | Published Sunday, September 30, 2018 | Last modified Tuesday, October 02, 2018

A draft model with some useful code for creating different network structures using the Netlogo NW extension. This model is used for the following tutorial:
Brughmans, T. (2018). Network structures and assembling code in Netlogo, Tutorial, https://archaeologicalnetworks.wordpress.com/resources/#structures .

Root disease model

Adam Bouche | Published Sunday, September 30, 2018

This is a model of root disease spread between trees in the landscape. The disease spreads via two transmission processes: (a) root contact/root graft transmission between adjacent trees and (b) insect vectors that carry spores between trees. Full details can be found in the “Info” tab in the model and in the readme file in the GitHub repository.

Importing a Roman transport network

Tom Brughmans | Published Sunday, September 30, 2018

A draft model teaching how a Roman transport model can be imported into Netlogo, and the issues confronted when importing and reusing open access Roman datasets. This model is used for the tutorial:
Brughmans, T. (2018). Importing a Roman Transport network with Netlogo, Tutorial, https://archaeologicalnetworks.wordpress.com/resources/#transport .

Project for the course “Introduction to Agent-Based Modeling”.

The NetLogo model implements an Opinion Dynamics model with different confidence distributions, inspired by the Bounded Confidence model presented by Hegselmann and Krause in 2002. Hegselmann and Krause used a model with uniform distribution of confidence, but one could imagine agents that are more confident in their own opinions than others. Confidence with triangular, semi-circular, and Gaussian distributions are implemented. Moreover, network structure is optional and can be taken into account in the agent’s confidence such that agents assign less confidence the further away from them other agents are.

Displaying 10 of 213 results NetLogo clear search

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