An expert system is a program that uses specialized knowledge to solve problems at a level similar to a human expert. It consists of a knowledge base that stores facts, rules and relationships about a problem domain. An inference engine applies reasoning techniques to the knowledge base to provide solutions, explanations and advice. Expert systems are used in a variety of fields including medicine, engineering and business to assist or replace human experts when their knowledge is needed but they are unavailable.

3. An expert needs - How to reason with this knowledge. Knowledge processor also called INFERENCE ENGINE. You need to learn inferencing techniques. REASONING Specialized knowledge on problem areas. Facts, rules, concepts and relationships. To store this in a KNOWLEDGE BASE, you need to learn KNOWLEDGE REPRESENTATION. KNOWLEDGE

8. USAGE-PURPOSES NAVEX monitors radar data and estimates the velocity and position of the space shuttle MONITORING FXAA Provides auditing assistance in foreign exchange trading locating irregular transactions INTERPRETATION GUIDON instructs medical students on antimicrobial therapy for bacterial infections INSTRUCTION NEAT infers system malfunctioning of data processing and telecommunications network equipment DIAGNOSIS PEACE is an expert system developed to assist engineers in the design of an electronic circuit DESIGN VM monitors a patient in an intensive care unit and controls the treatment CONTROL

9. USAGE-PURPOSES STEAMER simulates and explains the operation of the Navy’s 1078-class frigate system propulsion plant to aspiring NAVAL engineers SIMULATION IREX assists in the selection of industrial robots in a work environment. It identifies the best choice from a list of possibilities SELECTION BLUE BOX recommends an appropriate therapy for patients suffering from depression PRESCRIPTION PLANT predicts the damage to corn caused by the invasion of black cutworms PREDICTION PLANPOWER provides a wide range of financial plans for households in the areas of cash management PLANNING

17. User Interface Recommended Action Explanation Inference Engine, Draws Conclusions KNOWLEDGE BASE FACTS: What is known about the problem area Rules: Logical Reference (Relation between Symptoms and Causes) Knowledge Engineer Expert Blackboard (Workplace) Plan: Agenda Solution: Problem Description Reasoning Capability Improvement KA Facts about the specific incident USER