Computational Model Library

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Social trust model

Di Wang Alistair G Sutcliffe | Published Wednesday, December 17, 2014

This is a social trust model for investigating the social relationships and social networks in the real world and in social media.

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

SEDIBASES

Sebastian Rasch | Published Monday, October 20, 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.

Infantry Company Engagement Model with Command and Control

Woo-Seop Yun | Published Monday, October 06, 2014 | Last modified Monday, April 08, 2019

Infantry Company Engagement model including command and control functions for the scenario of an offensive operation of the blue force

Objective of our model is to simulate the emergence and operation of a technological niches (TN) in terms of actors’ interaction. A TN can be conceived as protected socio-economic space where radical innovations are developed and tested

Informal City version 1.0

Nina Schwarz | Published Friday, July 25, 2014 | Last modified Thursday, July 30, 2015

InformalCity, a spatially explicit agent-based model, simulates an artificial city and allows for testing configurations of urban upgrading schemes in informal settlements.

ForagerNet3_Demography_V2

Andrew White | Published Thursday, February 13, 2014

ForagerNet3_Demography_V2 is a non-spatial ABM for exploring hunter-gatherer demography. This version (developed from FN3D_V1) contains code for calculating the ratio of old to young adults (the “OY ratio”) in the living and dead populations.

A logging agent builds roads based on the location of high-value hotspots, and cuts trees based on road access. A forest monitor sanctions the logger on observed infractions, reshaping the pattern of road development.

The set of models test how receivers ability to accurately rank signalers under various ecological and behavioral contexts.

This is the final version of the model. To simulate the normative dynamics we used the EmIL (EMergence In the Loop) Framework which was kindly provided by Ulf Lotzmann. http://cfpm.org/EMIL-D5.1.pdf

Displaying 10 of 136 results Java clear search

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