Expert Systems Quiz

What is an expert system?

• A hardware component of a computer

• A type of computer virus

• Artificial intelligence software that uses a knowledge base to solve problems

• A programming language

Answer explanation

An expert system is a type of artificial intelligence software that utilizes a knowledge base to solve complex problems, distinguishing it from hardware components, viruses, or programming languages.

Which of the following is NOT a component of an expert system?

• Data storage unit

• User interface

• Inference engine

• Knowledge base

Answer explanation

An expert system consists of a knowledge base, inference engine, and user interface. A data storage unit is not a core component, as expert systems primarily rely on the other three elements to function effectively.

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

• To acquire knowledge from users

• To provide user interface

• To fetch relevant knowledge and find solutions

• To store data

Answer explanation

The inference engine is crucial in an expert system as it processes the knowledge base to fetch relevant information and derive solutions, making it the core component for decision-making.

Which module helps explain how an expert system reached a conclusion?

• Explanation module

• Knowledge acquisition module

• User interface

• Inference engine

Answer explanation

The explanation module in an expert system provides insights into how the system arrived at a specific conclusion, detailing the reasoning process and rules applied, making it the correct choice.

What is one characteristic of an expert system?

• It can learn independently

• It can feel emotions

• It requires no updates

• It is permanent unlike human experts

Answer explanation

An expert system is designed to provide consistent and reliable solutions, making it permanent unlike human experts who may change over time. This characteristic ensures that the knowledge remains stable and accessible.

Which of the following is an advantage of expert systems?

• Emotional decision-making

• High accessibility cost

• Fast response time

• Requires constant human supervision

Answer explanation

Expert systems provide fast response times by quickly processing data and applying rules, making them efficient for decision-making. This is a key advantage over human decision-making, which can be slower.

What is a disadvantage of expert systems?

• They are always correct

• They can make human-like decisions

• They require excessive training

• They can learn from experience

Answer explanation

Expert systems require excessive training to function effectively, as they need to be programmed with a vast amount of knowledge and rules. This is a significant disadvantage compared to more adaptive systems.

In which field are expert systems widely used?

• Fashion design

• Sports coaching

• Medical diagnostics

• Cooking

Answer explanation

Expert systems are widely used in medical diagnostics as they can analyze complex medical data, assist in diagnosing diseases, and recommend treatments, making them invaluable tools for healthcare professionals.

What type of rules do expert systems mostly use?

• While loops

• Switch cases

• For loops

• If-then rules

Answer explanation

Expert systems primarily use if-then rules to make decisions based on specific conditions. These rules allow the system to infer conclusions and take actions, making them essential for reasoning in expert systems.

What is the main issue with expert systems?

• They are too simple

• They are too expensive

• They lack common sense

• They are too complex

Answer explanation

The main issue with expert systems is that they lack common sense, which limits their ability to make decisions in complex, real-world situations where human-like reasoning is required.