Question

Draw and explain architecture of Expert System

Comments

Expert Systems, Components of Expert System: Knowledge base, Inference
engine, user interface, working memory, Development of Expert Systems

Answer 1

An expert system is a computer program that is designed to solve complex problems and to provide decision-making ability like a human expert. It performs this by extracting knowledge from its knowledge base using the reasoning and inference rules according to the user queries.

 

1. User Interface (UI):
   • This is the front end of the expert system that interacts with the user.
   • It provides a way for users to input information and receive output from the system.
   • The UI can take various forms, such as a graphical user interface (GUI) or a command-line interface (CLI), depending on the application.
2. Knowledge Base (KB):
   • The knowledge base is a central component of the expert system that stores information about the domain.
   • It includes two main components: facts and rules.
     • Facts: These are pieces of information about the specific case or domain. Facts are typically represented in the form of statements.
     • Rules: These are logical statements that define relationships between various facts. Rules are used by the inference engine to make decisions.
3. Inference Engine:
   • The inference engine is responsible for drawing conclusions based on the information stored in the knowledge base.
   • It uses various reasoning strategies, such as forward chaining (data-driven) or backward chaining (goal-driven), to infer new facts or make decisions.
   • The inference engine interprets the rules and applies them to the given set of facts to derive new conclusions.
4. Working Memory:
   • Working memory is a temporary storage area where the current set of facts and conclusions are kept during the inference process.
   • It is used by the inference engine to manipulate and update information as it processes the rules.