Computational Model Library

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.

Market for Protection

Steven Doubleday | Published Mon Jul 1 18:16:50 2013 | Last modified Mon Aug 19 16:00:36 2013

Simulation to replicate and extend an analytical model (Konrad & Skaperdas, 2010) of the provision of security as a collective good. We simulate bandits preying upon peasants in an anarchy condition.

This work aims at describing and simulating the (social) game around the production of potato seeds in Venezuela. It shows the effect of the identification of some actors with the production of native potato seeds (e.g., Venezuelan State´s low ident)

Interactions between organizations and social networks in common-pool resource governance

Phesi Project | Published Mon Oct 29 21:14:47 2012 | Last modified Sat Apr 27 20:18:37 2013

Explores how social networks affect implementation of institutional rules in a common pool resource.

Modelling Electricity Consumption in Office Buildings: An Agent Based Approach

Tao Zhang | Published Thu May 19 16:47:17 2011 | Last modified Sat Apr 27 20:18:40 2013

This is the electronic companion to the paper “Modelling Electricity Consumption in Office Buildings: An Agent Based Approach”

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

What is stable: the large but coordinated change during a diffusion or the small but constant and uncoordinated changes during a dynamic equilibrium? This agent-based model of a diffusion creates output that reveal insights for system stability.

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.

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).

This model simulates the motion picture industry and tests how social influences affect market shares. It is empirically validated at the micro level by a cross-cultural survey.

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