Knowledge Representation in Expert Systems: Structure, Classification, and Applications

Abstract

This study explores the foundational principles, classification, and applications of expert systems, focusing on knowledge representation, inference mechanisms, and the challenges of dynamic adaptability. It highlights future trends, including integration with machine learning, user-friendly interfaces, and real-time scalability, emphasizing the transformative potential of expert systems in solving complex real-world problems.