Different scenarios where expert systems are used

Expert systems help geologists evaluate whether specific sites are likely to contain a particular mineral or ore. The system produces probabilities of finding minerals at specific locations and provides explanations for its conclusions — not just a yes/no answer.

The inference engine compares the geologist's input data with the models in the knowledge base using IF–THEN rules. The system may ask the geologist further questions via the user interface to narrow down probabilities before producing the final output.

Expert systems act as assistants to financial advisors at banks, helping them make recommendations to investors. The financial advisor still makes the final decision. The system must gather four critical pieces of information about the investor before it can reason:

• The amount the client wishes to invest
• The level of risk the investor is willing to accept
• The desired rate of return on the investment
• How long the investor is willing to commit the investment for