Reasoning with Bayesian Networks

The aim was to create an alert system for the fictional Mecynian Canal, an artificial sea-level waterway, by using Bayesian networks to reason with uncertainty. Bayesian networks were modelled using AISpace. The implementation consists of a XML parser as well as an algorithm to merge two Bayesian networks that was adapted from Feng et al. (2014).

Compiling and Running Instructions

Navigate into the src directory:

cd src

Compile all .java files:

javac *.java

To run the application, your command should take the following form:

java Main <BN1> <BN2>

For example, pass:

java Main example1 example2

Please note that the path to the saved-models directory as well as the .xml file extension is hard-coded can be omitted.

The output should be:

Net: example1
-
...


Net: example2
-
...


Net: Merger
-
Name: NoFuel
Parents: none
CPT:
[0.15, 0.85]
-
Name: RoadIcy
Parents:[InAlaska, Winter]
CPT:
[0.7777777777777777, 0.2222222222222222]
[0.4576271186440678, 0.5423728813559322]
[0.5602409638554217, 0.43975903614457834]
[0.2537878787878788, 0.7462121212121213]
-
...

Valid commands:

java Main CANAL1 CANAL2mod