Chapter 7- Expert Systems

What is a rule-based expert system?

• A rule-based expert system is a type of computer hardware.

• A rule-based expert system is a type of human decision-making process.

• A rule-based expert system is a type of artificial intelligence system that uses a set of predefined rules to make decisions or draw conclusions.

• A rule-based expert system is a type of machine learning algorithm.

Explain the concept of knowledge representation in expert systems.

• Knowledge representation in expert systems is the process of structuring information to enable effective problem-solving and decision-making.

• Knowledge representation in expert systems refers to storing data in a single unstructured format.

• Knowledge representation in expert systems is not necessary for problem-solving.

• Knowledge representation in expert systems involves creating visual diagrams only.

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

• It predicts the weather

• It processes rules and facts to derive new information or make decisions.

• It bakes cookies

• It plays music

Define the term 'knowledge base' in the context of expert systems.

• A repository of information, rules, and facts used by an expert system to make decisions.

• A database of images used by an expert system

• A collection of music files used by an expert system

• A set of mathematical equations used by an expert system

Differentiate between forward chaining and backward chaining in expert systems.

• Forward chaining moves from data to conclusion, while backward chaining moves from conclusion to data.

• Forward chaining moves from conclusion to data, while backward chaining moves from data to conclusion.

• Forward chaining moves from data to data, while backward chaining moves from conclusion to conclusion.

• Forward chaining moves from conclusion to conclusion, while backward chaining moves from data to data.

Provide an example of a real-life application where expert systems are used.

• Online shopping recommendations

• Traffic management

• Medical diagnosis

• Weather forecasting

How does a rule-based expert system make decisions?

• By flipping a coin

• By consulting a magic eight ball

• By asking a psychic

• By following a set of predefined rules or logical statements.

Discuss the importance of a knowledge base in an expert system.

• A knowledge base is essential in an expert system for storing domain-specific information, facts, rules, and heuristics that enable the system to make decisions and provide solutions.

• The knowledge base in an expert system is primarily used for storing user preferences.

• An expert system can function effectively without a knowledge base.

• A knowledge base is only useful for storing general information, not domain-specific data.

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

• To process rules and knowledge base to draw conclusions or make decisions.

• To generate random data for testing purposes.

• To analyze historical data for trend prediction.

• To provide user interface for the expert system.

Explain how forward chaining is used in the decision-making process of expert systems.

• In forward chaining, the expert system only considers the most recent data available.

• Forward chaining is a process where rules are randomly applied to the available data.

• Forward chaining in expert systems involves starting with the available data and using rules to derive new information until a goal is reached.

• Forward chaining involves starting with the end goal and working backward to the available data.