Computational Model Library

Displaying 10 of 363 results for "Emmanuel Mhike Hove" clear search

This model is intended to explore the effectiveness of different courses of interventions on an abstract population of infections. Illustrative findings highlight the importance of the mechanisms for variability and mutation on the effectiveness of different interventions.

Digital divide and opinion formation

Dongwon Lim | Published Friday, November 02, 2012 | Last modified Monday, May 20, 2013

This model extends the bounded confidence model of Deffuant and Weisbuch. It introduces online contexts in which a person can deliver his or her opinion to several other persons. There are 2 additional parameters accessibility and connectivity.

Netlogo model that shows how the cooling process determines the quality of a solution in simulated annealing using Metropolis algorithm.

ManPraSim: A Management Practice Simulation

peer-olaf_siebers | Published Wednesday, February 23, 2011 | Last modified Saturday, April 27, 2013

This simulation model is associated with the journal paper “A First Approach on Modelling Staff Proactiveness in Retail Simulation Models” to appear in the Journal of Artificial Societies and Social Simulation 14 (2) 2. The authors are Peer-Olaf Siebers ([email protected]) and Uwe Aickelin ([email protected]).

A-KinGDom simulates the emergence of the social structure in a group of non-human primates. The model includes dominance and affiliative interactions which allow us to define four different attack and affiliative strategies.

Gunpowder battle tactics

Xavier Rubio-Campillo Jose María Cela Francesc Xavier Hernàndez | Published Wednesday, November 20, 2013 | Last modified Tuesday, November 26, 2013

This model simulates the dynamics of eighteenth-century infantry battle tactics. The goal is to explore the effect of different tactics and individual traits in the dynamics of the combat.

ViSA 2.0.0 is an updated version of ViSA 1.0.0 aiming at integrating empirical data of a new use case that is much smaller than in the first version to include field scale analysis. Further, the code of the model is simplified to make the model easier and faster. Some features from the previous version have been removed.
It simulates decision behaviors of different stakeholders showing demands for ecosystem services (ESS) in agricultural landscape. It investigates conditions and scenarios that can increase the supply of ecosystem services while keeping the viability of the social system by suggesting different mixes of initial unit utilities and decision rules.

Investor-based electricity market model

Oscar Kraan | Published Monday, January 02, 2017 | Last modified Friday, October 12, 2018

The model is a representation of a liberalised electricity market designed as an energy-only market and consists of large scale investors and their power generation assets in the electricity market.

Modeling Personal Carbon Trading with ABM

Roman Seidl | Published Friday, December 07, 2018 | Last modified Thursday, July 29, 2021

A simulated approach for Personal Carbon Trading, for figuring out what effects it might have if it will be implemented in the real world. We use an artificial population with some empirical data from international literature and basic assumptions about heterogeneous energy demand. The model is not to be used as simulating the actual behavior of real populations, but a toy model to test the effects of differences in various factors such as number of agents, energy price, price of allowances, etc. It is important to adapt the model for specific countries as carbon footprint and energy demand determines the relative success of PCT.

The Pampas Model is an Agent-Based Model intended to explore the dynamics of structural and land use changes in agricultural systems of the Argentine Pampas in response to climatic, technological economic, and political drivers.

Displaying 10 of 363 results for "Emmanuel Mhike Hove" 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