Computational Model Library

Displaying 10 of 234 results for 'Ala Jlif'

The dynamic agent-based model of market of single commodity and process of setting of prices

Mark Voronovitsky | Published Saturday, January 24, 2009 | Last modified Saturday, April 27, 2013

The dynamic agent based model of system which turn out the self-adjusting system, are considered in this text.

Peer reviewed Swidden Farming Version 2.0

C Michael Barton | Published Wednesday, June 12, 2013 | Last modified Wednesday, September 03, 2014

Model of shifting cultivation. All parameters can be controlled by the user or the model can be run in adaptive mode, in which agents innovate and select parameters.

A Multi-Agent Simulation Approach to Farmland Auction Markets

James Nolan | Published Wednesday, June 22, 2011 | Last modified Saturday, April 27, 2013

This model explores the effects of agent interaction, information feedback, and adaptive learning in repeated auctions for farmland. It gathers information for three types of sealed-bid auctions, and one English auction and compares the auctions on the basis of several measures, including efficiency, price information revelation, and ability to handle repeated bidding and agent learning.

MoPAgrIB model simulates the movement of cultivated patches in a savannah vegetation mosaic ; how they move and relocate through the landscape, depending on farming practices, population growth, social rules and vegetation growth.

Interplay of actors about the construction of a dam

Christophe Sibertin-Blanc | Published Monday, December 05, 2016 | Last modified Wednesday, May 09, 2018

Model of a very serious conflict about the relevance of a dam to impede its construction, between the client, the prime contractor, State, legalist opponents and activist opponents.

Hegmon's Model of Sharing

Sean Bergin | Published Thursday, May 02, 2013

The purpose of Hegmon’s Sharing model is to develop an understanding of the effect sharing strategies have on household survival.

SugarscapeCW

Christopher Watts | Published Saturday, August 01, 2015 | Last modified Wednesday, April 12, 2023

A replication in Netlogo 5.2 of the classic model, Sugarscape (Epstein & Axtell, 1996).

This is a simplified version of a Complex Model of Voter Turnout by Edmonds et al.(2014). It was developed to better understand the mechanisms at play on that complex model.

NetLogo model corresponding to the JASSS article “Agent-Based Simulation of West Asian Urban Dynamics: Impact of Refugees”

The model is a combination of a spatially explicit, stochastic, agent-based model for wild boars (Sus scrofa L.) and an epidemiological model for the Classical Swine Fever (CSF) virus infecting the wild boars.

The original model (Kramer-Schadt et al. 2009) was used to assess intrinsic (system immanent host-pathogen interaction and host life-history) and extrinsic (spatial extent and density) factors contributing to the long-term persistence of the disease and has further been used to assess the effects of intrinsic dynamics (Lange et al. 2012a) and indirect transmission (Lange et al. 2016) on the disease course. In an applied context, the model was used to test the efficiency of spatiotemporal vaccination regimes (Lange et al. 2012b) as well as the risk of disease spread in the country of Denmark (Alban et al. 2005).

References: See ODD model description.

Displaying 10 of 234 results for 'Ala Jlif'

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