Computational Model Library

Neolithic Spread Model Version 1.0

Sean Bergin Michael Barton Salvador Pardo Gordo Joan Bernabeu Auban | Published Thu Dec 11 19:12:19 2014 | Last modified Mon Dec 31 17:39:18 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).

Institutional change

A Sullivan | Published Fri Oct 7 20:35:15 2016 | Last modified Sun Dec 2 04:27:11 2018

This model builds on another model in this library (“diffusion of culture”).

Root disease model

Adam Bouche | Published Sun Sep 30 20:44:37 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.

This 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.

The 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.

Livestock drought insurance model

Felix John Birgit Müller Russell Toth Karin Frank Jürgen Groeneveld | Published Tue Dec 19 16:37:15 2017 | Last modified Sat Apr 14 13:56:11 2018

The model analyzes the economic and ecological effects of a provision of livestock drought insurance for dryland pastoralists. More precisely, it yields qualitative insights into how long-term herd and pasture dynamics change through insurance.

Potato late blight model

Francine Pacilly | Published Fri Apr 13 13:40:47 2018

The purpose of the model is to simulate the spatial dynamics of potato late blight to analyse whether resistant varieties can be used effectively for sustainable disease control. The model represents an agricultural landscape with potato fields and data of a Dutch agricultural region is used as input for the model. We simulated potato production, disease spread and pathogen evolution during the growing season (April to September) for 36 years. Since late blight development and crop growth is weather dependent, measured weather data is used as model input. A susceptible and late blight resistant potato variety are distinguished. The resistant variety has a potentially lower yield but cannot get infected with the disease. However, during the growing season virulent spores can emerge as a result of mutations during spore production. This new virulent strain is able to infect the resistant fields, resulting in resistance breakdown. The model shows how disease severity, resistance durability and potato yield are affected by the fraction of fields across a landscape with a disease-resistant potato variety.

Ant Colony Optimization for infrastructure routing

P W Heijnen Emile Chappin Igor Nikolic | Published Wed Mar 5 09:49:07 2014 | Last modified Sat Mar 24 10:33:19 2018

The mode implements a variant of Ant Colony Optimization to explore routing on infrastructures through a landscape with forbidden zones, connecting multiple sinks to one source.

Modeling the Emergence of Riots

Bianica Pires Andrew Crooks | Published Wed Jan 20 14:06:58 2016 | Last modified Wed Sep 21 13:28:10 2016

The purpose of the model is to explore how the unique socioeconomic variables underlying Kibera, local interactions, and the spread of a rumor, may trigger a riot.

ADAM: Agent-based Demand and Assignment Model

D Levinson | Published Mon Aug 29 17:37:03 2011 | Last modified Sat Apr 27 20:18:19 2013

The core algorithm is an agent-based model, which simulates travel patterns on a network based on microscopic decision-making by each traveler.

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