Computational Model Library

Growing Unpopular Norms. A Network-Situated ABM of Norm Choice.

C Merdes | Published Tue Nov 22 21:11:26 2016 | Last modified Sat Mar 17 18:41:43 2018

The model’s purpose is to provide a potential explanation for the emergence, sustenance and decline of unpopular norms based on pluralistic ignorance on a social network.

Machine Learning simulates Agent-based Model

B Furtado | Published Wed Mar 7 13:10:49 2018

This is an initial exploratory exercise done for the class @ Text available here:
The program:
Reads output from an ABM model and its parameters’ configuration
Creates a socioeconomic optimal output based on two ABM results of the modelers choice
Organizes the data as X and Y matrices
Trains some Machine Learning algorithms

Simulation of the Governance of Complex Systems

Fabian Adelt Johannes Weyer Robin D Fink Andreas Ihrig | Published Mon Dec 18 16:11:30 2017 | Last modified Fri Mar 2 09:37:16 2018

Simulation-Framework to study the governance of complex, network-like sociotechnical systems by means of ABM. Agents’ behaviour is based on a sociological model of action. A set of basic governance mechanisms helps to conduct first experiments.

Last Mile Commuter Behavior Model

Moira Zellner Dean Massey Yoram Shiftan Jonathan Levine Maria Arquero | Published Fri Nov 7 19:47:59 2014 | Last modified Fri Nov 7 19:53:35 2014

We represent commuters and their preferences for transportation cost, time and safety. Agents assess their options via their preferences, their environment, and the modes available. The model has policy levers to test impact on last-mile problem.

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.

We used a computer simulation to measure how well different network structures (fully connected, small world, lattice, and random) find and exploit resource peaks in a variable environment.

Peer reviewed Strategy with Externalities

J Applegate Glenn Hoetker | Published Thu Dec 21 15:12:54 2017

The SWE models firms search behaviour as the performance landscape shifts. The shift represents society’s pricing of negative externalities, and the performance landscape is an NK structure. The model is written in NetLogo.

Mobility USA (MUSA)

Davide Natalini Giangiacomo Bravo | Published Sun Dec 8 19:24:09 2013 | Last modified Mon Dec 30 19:22:17 2013

MUSA is an ABM that simulates the commuting sector in USA. A multilevel validation was implemented. Social network with a social-circle structure included. Two types of policies have been tested: market-based and preference-change.

This is an agent-based model that captures the dynamic processes related to moving from an educational system where the school a student attends is based on assignment to a neighborhood school, to one that gives households more choice among existing and newly formed public schools.


Elena Maggi Elena Vallino | Published Tue Jan 31 16:04:05 2017 | Last modified Fri Aug 4 15:48:28 2017

This ABM deals with commuting choices in the Italian city of Varese. Empirical data inform agents’ attitudes and modal choices costs and emissions. We evaluate ex ante the impact of policies for less polluting commuting choices.

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