Getting Started
In the following three sections, we present the basic concepts needed to understand the technology behind the Hugin development environment. The main topics covered are the paradigms of expert systems (how do they compare), how to build Hugin knowledge bases using Bayesian networks, influence diagrams and a general introduction to how the technology is supported within the Hugin development environment.

Paradigms
Here the three major technologies used when building intelligent systems are presented: rule based systems, neural networks and Bayesian networks. After the introduction we will discuss the pro's and con's of the different technologies.

Bayesian Networks
This section is an introduction to Bayesian networks and presents the concept by constructing a small Hugin knowledge base. This is done in general terms and does not consider how the network is implemented in the Hugin development environment.

Influence Diagrams
This section is an introduction to influence diagrams and is presented the same way as the first section.

More Details
In the last section you can read a more detailed description of the Bayesian network technology used in the Hugin development environment. Here, the concept of Bayesian networks with continuous nodes is presented. This section is meant for people with a mathematical background.

We hope you will find the 'Getting started' section interesting and suggest that you move on to our Sample/Tutorial section afterwards for examples of practical use.