Computational Model Library

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

The purpose of this study is to explore the potential impacts of pesticide use and inter-row management of European winegrowers in response to policy designs and climate change. Pesticides considered in this study include insecticides, pheromone dispensers (as an alternative to insecticides), fungicides (both the synthetic type and copper-sulphur based). Inter-row management concerns the arrangement of vegetation in the inter-rows and the type of vegetation.

Informal City version 1.0

Nina Schwarz | Published Friday, July 25, 2014 | Last modified Thursday, July 30, 2015

InformalCity, a spatially explicit agent-based model, simulates an artificial city and allows for testing configurations of urban upgrading schemes in informal settlements.

We propose an ABM replicating the evolution of action oriented groups (like NPO) due to disagreement among members on the practices to implement. Looking at the stability and representativeness (ability of groups to federate) we introduce vertical communication: the possibility for group to communicate around their practices to their members. We test for three levels (to whom it is addressed) and four types (how it influences agents) of communication.

CoDMER v. 2.0 was parameterized with ethnographic data from organizations dealing with prescribed fire and seeding native plants, to advance theory on how collective decisions emerge in ecological restoration.

Scilab version of an agent-based model of societal well-being, based on the factors of: overvaluation of conspicuous prosperity; tradeoff rate between inconspicuous/conspicuous well-being factors; turnover probability; and individual variation.

Bicycle encounter model

Gudrun Wallentin | Published Saturday, October 29, 2016 | Last modified Friday, March 29, 2019

This Bicycle encounter model builds on the Salzburg Bicycle model (Wallentin & Loidl, 2015). It simulates cyclist flows and encounters, which are locations of potential accidents between cyclists.

This is a generic sub-model of animal territory formation. It is meant to be a reusable building block, but not in the plug-and-play sense, as amendments are likely to be needed depending on the species and region. The sub-model comprises a grid of cells, reprenting the landscape. Each cell has a “quality” value, which quantifies the amount of resources provided for a territory owner, for example a tiger. “Quality” could be prey density, shelter, or just space. Animals are located randomly in the landscape and add grid cells to their intial cell until the sum of the quality of all their cells meets their needs. If a potential new cell to be added is owned by another animal, competition takes place. The quality values are static, and the model does not include demography, i.e. mortality, mating, reproduction. Also, movement within a territory is not represented.

This is an agent-based model that simulates the structural evolution in food supply chain.

UK Demographic Simulator

Tony Lawson | Published Monday, February 27, 2012 | Last modified Tuesday, October 21, 2014

A dynmaic microsimulation model to project the UK population over time

Peer reviewed AgentEx

Nanda Wijermans Maja Schlüter Caroline Schill Therese Lindahl | Published Sunday, November 13, 2016

AgentEx aims to advance understanding of group processes for sustainable management of a common pool resource (CPR). By supporting the development and test explanations of cooperation and sustainable exploitation.

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

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