This is an implementation of the agent-based, wealth distribution model in Java. At the very basic level, it is a replication of the Netlogo "Wealth Distribution" model in its model library. The Java implementation also supports a set of extension features such as wealth inheritance.

To build the model, simply run make in the project directory (where the makefile is located). The make process generates program.jar as the compiled Java program. It can be run with a set of parameters by the following command:

java -cp ./program.jar Simulation [numPeople] [maxVision] [metabolismMax] [lifeExpectancyMin] [lifeExpectancyMax] [percentBestLand] [grainGrowthInterval] [grainGrowthRate] [timeMax] [filename]

...where most of the parameters correspond to those in the Netlogo model. The timeMax parameter specifies the duration of simulation, and filename specifies the name of CSV file output.

There is also a Python script for experimenting and data visualisation. In order to use it, simply call:

python3 ./experiment.py

or

python ./experiment.py if Python 3 is installed as default.

The script calls the Java program automatically and generates a set of plots in the output folder. Parameters can be modified in experiment.py.