What is the importance of inference in an expert system?
A.
The knowledge base contains facts, but must also be able to combine facts to derive new information and solutions.
B.
The inference machine is important to fight against multipart viruses.
C.
The knowledge base must work in units to mimic neurons in the brain.
D.
The access must be controlled to prevent unauthorized access.
Explanation:
A: The whole purpose of an expert system is to look at the data it has to work with and what the user presents to it and to come up with new or different solutions. It basically performs data-mining activities, identifies patterns and relationships the user cant see, and provides solutions. This is the same reason you would go to a human expert. You would give her your information, and she would combine it with the information she knows and give you a solution or advice, which is not necessarily the same data you gave her.
An expert system is divided into two sub-systems: the inference engine and the knowledge base. The knowledge base represents facts and rules. The inference engine applies the rules to the known facts to deduce new facts. Inference engines can also include explanation and debugging capabilities.
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