Computational Model Library

Multi Asset Variable Network Stock Market Model

Matthew Oldham | Published Mon Sep 12 18:10:04 2016 | Last modified Tue Oct 10 17:50:03 2017

An artifcal stock market model that allows users to vary the number of risky assets as well as the network topology that investors forms in an attempt to understand the dynamics of the market.

Peer reviewed Empathy & Power

J Applegate Ned Wellman | Published Mon Nov 13 17:30:32 2017 | Last modified Thu Dec 21 15:17:11 2017

The purpose of this model is to explore the effects of different power structures on a cross-functional team’s prosocial decision making. Are certain power distributions more conducive to the team making prosocial decisions?

Societal Simulator v203 fertility graph fix

Tim Gooding | Published Wed Nov 26 10:37:56 2014

This is the same model as used in the article ‘Modelling Society’s Evolutionary Forces’ except the Fertility graph has been corrected. The Fertility graph was not used in the published article.

This code simulates the WiFi user tracking system described in: Thron et al., “Design and Simulation of Sensor Networks for Tracking Wifi Users in Outdoor Urban Environments”. Testbenches used to create the figures in the paper are included.

Using webs of replicas of Atwood’s Machine, we explore implications of the Maximum Power Principle. This is one of a series of models exploring the dynamics of sustainable economics – PSoup, ModEco, EiLab, OamLab, MppLab, TpLab, CmLab.

02 OamLab V1.10 - Open Atwood Machine Laboratory

Garvin Boyle | Published Sat Jan 31 15:28:42 2015 | Last modified Thu Apr 13 18:07:15 2017

Using chains of replicas of Atwood’s Machine, this model explores implications of the Maximum Power Principle. It is one of a series of models exploring the dynamics of sustainable economics – PSoup, ModEco, EiLab, OamLab, MppLab, TpLab, EiLab.

This model describes and analyses the outcomes of the confrontation of interests, some conflicting, some common, about the management of a small river in SW France

Nepali Village Model

John Janmaat Suzan L Lapp | Published Thu Apr 17 19:27:54 2014

The model implements a model that reflects features of a rural hill village in Nepal. Key features of the model include water storage, social capital and migration of household members who then send remittances back to the village.

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.

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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