Quiz on Expert Systems in AI

What is an Expert System in AI?

• A system that uses only facts to solve problems

• A computer-based decision-making system using facts and heuristics

• A system that requires human intervention for every decision

• A type of machine learning algorithm

Answer explanation

An Expert System is a computer-based decision-making system that utilizes both facts and heuristics to solve complex problems, making the correct choice "A computer-based decision-making system using facts and heuristics."

Which of the following is an example of an Expert System?

• SQL

• MYCIN

• Python

• JavaScript

Answer explanation

MYCIN is an expert system designed for medical diagnosis, specifically for bacterial infections. Unlike SQL, Python, and JavaScript, which are programming languages, MYCIN uses rules and knowledge to make decisions, exemplifying an expert system.

What is the role of the Inference Engine in an Expert System?

• To take user queries and display results

• To store all the knowledge about the problem domain

• To manage user interactions

• To apply rules and select facts to answer queries

Answer explanation

The Inference Engine's primary role is to apply rules and select relevant facts from the knowledge base to answer user queries, making it essential for problem-solving in an Expert System.

What is a key characteristic of Expert Systems?

• They can make creative decisions in extraordinary situations

• They are always less expensive than human experts

• They provide consistent answers for repetitive problems

• They require full information to function

Answer explanation

Expert Systems are designed to provide consistent answers for repetitive problems, leveraging their programmed knowledge base. This ensures reliability and uniformity in decision-making for tasks that follow established patterns.

Who is responsible for integrating knowledge into computer systems?

• Domain Expert

• Knowledge Engineer

• End User

• System Administrator

Answer explanation

The Knowledge Engineer is responsible for integrating knowledge into computer systems, as they design and implement systems that utilize expert knowledge effectively. Other roles, like Domain Expert or End User, do not focus on this integration.

What is a limitation of Expert Systems?

• They can work without human input

• Errors in the knowledge base can lead to wrong decisions

• They can provide creative solutions

• They are always cost-effective

Answer explanation

A key limitation of Expert Systems is that errors in the knowledge base can lead to wrong decisions. If the information they rely on is incorrect, the conclusions they draw will also be flawed.

Which component of an Expert System is crucial for user interaction?

• Knowledge Base

• Inference Engine

• User Interface

• Decision Support System

Answer explanation

The User Interface is crucial for user interaction in an Expert System, as it allows users to communicate with the system, input data, and receive outputs. Without a user-friendly interface, effective interaction would be hindered.

What does the term 'Knowledge Acquisition' refer to?

• The ability of an Expert System to reason

• The process of storing data in the knowledge base

• The method of extracting knowledge from human experts

• The way an Expert System learns from its mistakes

Answer explanation

'Knowledge Acquisition' refers to the method of extracting knowledge from human experts, which is essential for building and improving Expert Systems.

Which of the following is NOT an application of Expert Systems?

• Virus detection

• Web development

• Loan analysis

• Employee performance evaluation

What is the main advantage of using Expert Systems?

• They require no maintenance

• They are always accurate

• They improve decision quality and reduce costs

• They can replace all human experts