What is the primary function of the Inference Engine in an Expert System?

The primary function of the Inference Engine in an Expert System is to extract relevant information to solve problems. This component is crucial because it applies logical rules to the knowledge base of the system to derive conclusions from the available data. The Inference Engine processes the input, analyzes it against the rules and facts stored in the knowledge base, and uses reasoning and decision-making techniques to provide answers or make recommendations based on the specific problem posed by the user.

The Inference Engine is essentially the "brain" of the expert system, simulating human reasoning and decision-making processes to arrive at conclusions that guide the user in solving complex issues. Its ability to handle uncertainty and ambiguity allows it to operate effectively in various domains, making it a vital part of the system's functionality.