Computational Model Library

This is an agent-based model coded in NetLogo. The model simulates population dynamics of bighorn sheep population in the Hell’s Canyon region of Idaho and will be used to develop a better understanding of pneumonia dynamics in bighorn sheep populations. The overarching objective is to provide a decision-making context for effective management of pneumonia in wild populations of bighorn sheep.

Cyberworld 1

Dmitry Brizhinev Nathan Ryan Roger Bradbury | Published Thu Apr 23 23:00:37 2015 | Last modified Sun Feb 25 10:11:54 2018

A Repast Simphony model of interactions (conflict and cooperation) between states

Cultural Group Selection of Sustainable Institutions

Timothy Waring Sandra H Goff Paul Smaldino | Published Wed Jun 10 17:38:06 2015 | Last modified Tue Aug 4 14:14:05 2015

We develop a spatial, evolutionary model of the endogenous formation and dissolution of groups using a renewable common pool resource. We use this foundation to measure the evolutionary pressures at different organizational levels.

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

Agent-based model using Blanche software 4.6.5. Blanche software is included in the dataset file.

The MML is a hybrid modeling environment that couples an agent-based model of small-holder agropastoral households and a cellular landscape evolution model that simulates changes in erosion/deposition, soils, and vegetation.

The Carington model is designed to provide insights into the factors affecting informal health care for older adults. It encompasses older adults, caregivers, and factors affecting informal health care. The Carington model includes no submodels.

ergodicity_test

Jakob Grazzini | Published Mon Nov 29 19:22:53 2010 | Last modified Sat Apr 27 20:18:30 2013

This Python module contain a function that is able to test the ergodicity of a given agent based model. It is sufficient to produce one long time series and many smaller time series. The function uses

Peak-seeking Adder

J Kasmire Janne M Korhonen | Published Tue Dec 2 10:53:27 2014 | Last modified Fri Feb 20 13:47:47 2015

Continuing on from the Adder model, this adaptation explores how rationality, learning and uncertainty influence the exploration of complex landscapes representing technological evolution.

SONG - Simulation of Network Growth

D Levinson | Published Mon Aug 29 18:11:37 2011 | Last modified Sat Apr 27 20:18:48 2013

SONG is a simulator designed for simulating the process of transportation network growth.

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