Computational Model Library

The model employs an agent-based model for exploring the victim-centered approach to identifying human trafficking and the approach’s effectiveness in an abstract representation of migrant flows.

This model is an application of Brantingham’s neutral model to a real landscape with real locations of potential sources. The sources are represented as their sizes during current conditions, and from marine geophysics surveys, and the agent starts at a random location in Mossel Bay Region (MBR) surrounding the Archaeological Pinnacle Point (PP) locality, Western Cape, South Africa. The agent moves at random on the landscape, picks up and discards raw materials based only upon space in toolkit and probability of discard. If the agent happens to encounter the PP locality while moving at random the agent may discard raw materials at it based on the discard probability.

A simple model of random encounters of materials that produces distributions as found in the archaeological record.

This model allows for the investigation of the effect spatial clustering of raw material sources has on the outcome of the neutral model of stone raw material procurement by Brantingham (2003).

Evolution of cooperative strategies from first principles

Marco Janssen | Published Mon Jan 4 22:49:23 2010 | Last modified Sat Apr 27 20:18:30 2013

The purpose of this model is to study the evolution of cooperation when agents are endowed with a limited set of receptors, a set of elementary actions and a neural network agents use to make decision

Landscape connectivity and predator–prey population dynamics

Jacopo Baggio | Published Thu Nov 10 19:35:38 2011 | Last modified Sat Apr 27 20:18:37 2013

A simple model to assess the effect of connectivity on interacting species (i.e. predator-prey type)

A model on feeding and social interaction behaviour of pigs

Iris J.M.M. Boumans | Published Thu May 4 11:46:38 2017 | Last modified Tue Feb 27 11:12:18 2018

The model simulates interaction between internal physiological factors (e.g. energy balance) and external social factors (e.g. competition level) underlying feeding and social interaction behaviour of commercially group-housed pigs.

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.

The model represents empirically observed recycling behaviour of Chinese citizens, based on the theory of reasoned action (TRA), the theory of planned behaviour (TPB) and the theory of planned behaviour extended with situational factors (TPB+).

Dynamic bipartite network model of agents and games in which agents can participate in multiple public goods games.

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