Computational Model Library

The model explores how two types of information - social (in the form of pheromone trails) and private (in the form of route memories) affect ant colony level foraging in a variable enviroment.

We build a computational model to investigate, in an evolutionary setting, a series of questions pertaining to happiness.

01a ModEco V2.05 – Model Economies – In C++

Garvin Boyle | Published Mon Feb 4 02:02:53 2013 | Last modified Fri Apr 14 00:43:12 2017

Perpetual Motion Machine - A simple economy that operates at both a biophysical and economic level, and is sustainable. The goal: to determine the necessary and sufficient conditions of sustainability, and the attendant necessary trade-offs.

The set of models test how receivers ability to accurately rank signalers under various ecological and behavioral contexts.

Smallholder Behavioural Decisions During Times of Drought Stress

Samantha Dobbie | Published Sun Sep 15 13:46:42 2013 | Last modified Sat Sep 27 10:35:00 2014

An empirical ABM of smallholder decisions in times of drought stress.

Peer reviewed A model of environmental awareness spread and its effect in resource consumption reduction

Giovanna Sissa | Published Sun Jun 21 11:41:38 2015 | Last modified Mon Aug 17 16:07:15 2015

The model reproduces the spread of environmental awareness among agents and the impact of awareness level of the agents on the consumption of a resource, like energy. An agent is a household with a set of available advanced smart metering functions.

Diet breadth model from Optimal Foraging Theory (Human Behavioral Ecology)

C Michael Barton | Published Wed Nov 26 23:19:21 2008 | Last modified Thu Mar 12 20:04:31 2015

Diet breadth is a classic optimal foraging theory (OFT) model from human behavioral ecology (HBE). Different resources, ranked according to their food value and processing costs, are distributed in th

Forager mobility and interaction

L S Premo | Published Thu Jan 10 06:21:14 2013 | Last modified Sat Apr 27 20:18:32 2013

This is a relatively simple foraging-radius model, as described first by Robert Kelly, that allows one to quantify the effect of increased logistical mobility (as represented by increased effective foraging radius, r_e) on the likelihood that 2 randomly placed central place foragers will encounter one another within 5000 time steps.

Positive feedback can lead to “trapping” in local optima. Adding a simple negative feedback effect, based on ant behaviour, prevents this trapping

We provide a full description of the model following the ODD protocol (Grimm et al. 2010) in the attached document. The model is developed in NetLogo 5.0 (Wilenski 1999).

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