Computational Model Library

RAGE models a stylized common property grazing system. Agents follow a certain behavioral type. The model allows analyzing how household behavior with respect to a social norm on pasture resting affects long-term social-ecological system dynamics.

This model has been created with and for the researcher-farmers of the Muonde Trust (http://www.muonde.org/), a registered Zimbabwean non-governmental organization dedicated to fostering indigenous innovation. Model behaviors and parameters (mashandiro nemisiyano nedzimwe model) derive from a combination of literature review and the collected datasets from Muonde’s long-term (over 30 years) community-based research. The goals of this model are three-fold (muzvikamu zvitatu):
A) To represent three components of a Zimbabwean agro-pastoral system (crops, woodland grazing area, and livestock) along with their key interactions and feedbacks and some of the human management decisions that may affect these components and their interactions.
B) To assess how climate variation (implemented in several different ways) and human management may affect the sustainability of the system as measured by the continued provisioning of crops, livestock, and woodland grazing area.
C) To provide a discussion tool for the community and local leaders to explore different management strategies for the agro-pastoral system (hwaro/nzira yekudyidzana kwavanhu, zvipfuo nezvirimwa), particularly in the face of climate change.

The purpose of the presented ABM is to explore how system resilience is affected by external disturbances and internal dynamics by using the stylized model of an agricultural land use system.

We explore land system resilience with a stylized land use model in which agents’ land use activities are affected by external shocks, agent interactions, and endogenous feedbacks. External shocks are designed as yield loss in crops, which is ubiquitous in almost every land use system where perturbations can occur due to e.g. extreme weather conditions or diseases. Agent interactions are designed as the transfer of buffer capacity from farmers who can and are willing to provide help to other farmers within their social network. For endogenous feedbacks, we consider land use as an economic activity which is regulated by markets — an increase in crop production results in lower price (a negative feedback) and an agglomeration of a land use results in lower production costs for the land use type (a positive feedback).

A land-use model to illustrate ambiguity in design

Julia Schindler | Published Mon Oct 15 14:57:13 2012 | Last modified Fri Jan 13 18:39:33 2017

This is an agent-based model that allows to test alternative designs for three model components. The model was built using the LUDAS design strategy, while each alternative is in line with the strategy. Using the model, it can be shown that alternative designs, though built on the same strategy, lead to different land-use patterns over time.

Feedback Loop Example: Forest Resource Transport

James Millington | Published Fri Dec 21 11:11:07 2012 | Last modified Sat Apr 27 20:18:32 2013

This model illustrates a positive ‘transport’ feedback loop in which lines with different resistance to flows of material result in variation in rates of change in linked entities.

Digital divide and opinion formation

Dongwon Lim | Published Fri Nov 2 02:44:17 2012 | Last modified Mon May 20 11:17:43 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.

Land Use in the Chitwan Valley

Alex Zvoleff | Published Mon Jun 2 01:42:22 2014

chitwanabm is a spatially explicit agent-based model of population and land use in the Chitwan Valley, Nepal, designed to explore feedbacks between population and environment, with a heavy focus on community context and individual-level variation.

Feedback Loop Example: Vegetation Patch Growth

James Millington | Published Thu Dec 20 19:02:47 2012 | Last modified Sat Apr 27 20:18:32 2013

This model illustrates a positive ‘growth’ feedback loop in which the areal extent of an entity increases through time.

SpeciesWorld

Tony Lawson | Published Fri Mar 16 10:31:35 2012 | Last modified Sat Apr 27 20:18:48 2013

How can species evolve a cooperative network to keep the environment suitable for life?

A Multi-Agent Simulation Approach to Farmland Auction Markets

James Nolan | Published Wed Jun 22 03:04:02 2011 | Last modified Sat Apr 27 20:18:19 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.

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