Computational Model Library

Displaying 10 of 248 results for "Ala Jlif" clear search

Telephone Game

Julia Kasmire | Published Friday, January 10, 2020

This is a model of a game of Telephone (also known as Chinese Whishpers in the UK), with agents representing people that can be asked, to play. The first player selects a word from their internal vocabulary and “whispers” it to the next player, who may mishear it depending on the current noise level, who whispers that word to the next player, and so on.

When the game ends, the word chosen by the first player is compared to the word heard by the last player. If they match exactly, all players earn large prize. If the words do not match exactly, a small prize is awarded to all players for each part of the words that do match. Players change color to reflect their current prize-count. A histogram shows the distribution of colors over all the players.

The user can decide on factors like
* how many players there are,

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”

This is an extension of the original RAGE model (Dressler et al. 2018), where we add learning capabilities to agents, specifically learning-by-doing and social learning (two processes central to adaptive (co-)management).

The extension module is applied to smallholder farmers’ decision-making - here, a pasture (patch) is the private property of the household (agent) placed on it and there is no movement of the households. Households observe the state of the pasture and their neighrbours to make decisions on how many livestock to place on their pasture every year. Three new behavioural types are created (which cannot be combined with the original ones): E-RO (baseline behaviour), E-LBD (learning-by-doing) and E-RO-SL1 (social learning). Similarly to the original model, these three types can be compared regarding long-term social-ecological performance. In addition, a global strategy switching option (corresponding to double-loop learning) allows users to study how behavioural strategies diffuse in a heterogeneous population of learning and non-learning agents.

An important modification of the original model is that extension agents are heterogeneous in how they deal with uncertainty. This is represented by an agent property, called the r-parameter (household-risk-att in the code). The r-parameter is catch-all for various factors that form an agent’s disposition to act in a certain way, such as: uncertainty in the sensing (partial observability of the resource system), noise in the information received, or an inherent characteristic of the agent, for instance, their risk attitude.

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.

Displaying 10 of 248 results for "Ala Jlif" 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