Hands-On Artificial Intelligence for Cybersecurity

A brief introduction to expert systems

One of the first attempts at automated learning consisted of defining the rule-based decision system applied to a given application domain, covering all the possible ramifications and concrete cases that could be found in the real world. In this way, all the possible options were hardcoded within the automated learning solutions, and were verified by experts in the field.

The fundamental limitation of such expert systems consisted of the fact that they reduced the decisions to Boolean values (which reduce everything down to a binary choice), thus limiting the ability to adapt the solutions to the different nuances of real-world use cases.

In fact, expert systems do not learn anything new compared to ...