Knowledge Engineering

Knowledge Engineering is a field of artificial intelligence (AI) that deals with the capture and creation of rules that imitate the thought process of a human expert. It considers the structure of a task or a decision to identify how a conclusion is reached.

There are a number of problem solving templates that relate to common types of applications:

• How to model Risk Assessment Applications?
• How to model Diagnostic & Troubleshooting Applications?
• How to model Compliance / Underwriting Applications?
• How to model Business Process Automation Applications?
• How to model Resource Optimisation Applications?

There are also a number of practical techniques which are used enhance the efficiency of these models:

• How to implement Looping around Knowledge Objects?
• How to apply the same rules to multiple Data sets?
• How can a Question be auto-answered?
• How can a user find out how/why a given decision was reached?
• How to customise or extend my Objects properties?
• How to use Bayesian Machine Learning for Classification?