Computational Model Library

This model allows for analyzing the most efficient levers for enhancing the use of recycled construction materials, and the role of empirically based decision parameters.

A Model of Making

Bruce Edmonds | Published Fri Jan 29 11:13:05 2016 | Last modified Wed Dec 7 14:42:37 2016

This models provides the infrastructure to model the activity of making. Individuals use resources they find in their environment plus those they buy, to design, construct and deconstruct items. It represents plans and complex objects explicitly.

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.

The simulation model conducts fine-grained population projection by specifying life course dynamics of individuals and couples by means of traditional demographic microsimulation and by using agent-based modeling for mate matching.

We demonstrate how Repast Simphony statecharts can efficiently encapsulate the deep classification hierarchy of the U.S. Air Force for manpower life cycle costing.

code for graphical output

Mert Edali Hakan Yasarcan | Published Wed Nov 5 10:14:40 2014

This is the R code of the mathematical model that includes the decision making formulations for artificial agents. Plus, the code for graphical output is also added to the original code.

SEDIBASES

Sebastian Rasch | Published Mon Oct 20 10:58:37 2014

The Sediba socio-ecolgoical rangeland model is an biomass growth model coupled with a social model of pastoralist behaviour in a commmon pool resource setting. The social subsystem is an empircal ABM.

The objective of the model is to evaluate the impact of seasonal forecasts on a farmer’s net agricultural income when their crop choices have different and variable costs and returns.

Land-Livelihood Transitions

Nicholas Magliocca Daniel G Brown Erle C Ellis | Published Mon Sep 9 20:21:13 2013 | Last modified Fri Sep 13 14:25:53 2013

Implemented as a virtual laboratory, this model explores transitions in land-use and livelihood decisions that emerge from changing local and global conditions.

Simulates the construction of scientific journal publications, including authors, references, contents and peer review. Also simulates collective learning on a fitness landscape. Described in: Watts, Christopher & Nigel Gilbert (forthcoming) “Does cumulative advantage affect collective learning in science? An agent-based simulation”, Scientometrics.

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