Question 1

What is an expert system in the context of artificial intelligence?

Accepted Answer

A computer system that emulates the decision-making ability of a human expert.

Answer

A system that mimics the decision-making ability of a novice

Answer

A system that randomly generates decisions

Answer

A system that only provides data without analysis

Question 2

What are the components of an expert system?

Accepted Answer

Knowledge base, Inference engine, and User interface.

Answer

Browser, Networking module, and Database management system

Answer

Algorithm library, Prediction model, and Error handling module

Answer

Memory bank, Decision maker, and Data visualization tool

Question 3

What is the role of the inference engine in an expert system?

Accepted Answer

It applies logical reasoning to draw conclusions and make decisions based on the knowledge in the system.

Answer

It acts as a database for user queries and requests.

Answer

It stores all the data and information in the system.

Answer

It serves as a communication tool between users and the system.

Question 4

How does an expert system differ from a traditional computer program?

Accepted Answer

An expert system incorporates expert knowledge to emulate human decision-making, while a traditional program follows predefined instructions.

Answer

Expert systems do not require a user interface, unlike traditional programs.

Answer

Both systems rely on random data generation for decision-making.

Answer

Traditional programs are designed to mimic human decision-making without using expert knowledge.

Question 5

What is the purpose of knowledge acquisition in an expert system?

Accepted Answer

To gather, organize, and input expert knowledge into the system's knowledge base.

Answer

To slow down the decision-making process.

Answer

To confuse the inference engine with contradictory information.

Answer

To delete existing knowledge from the system.

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