Design of an expert system architecture: An overview

Abstract

Abstract An area of Artificial intelligence (AI) that can claim a large measure of responsibility for the current heightened AI awareness is Knowledge Based Expert System (KBES), computer programs that embody human expertise. KBES specifically enable the computer to assist in solving ill-structured and non-deterministic problems such as design activities including synthesis, evaluation, modeling and decision-making process. The paper explains the role of Backward Chaining method, Forward Chaining method, Rule-Value method as three major methods involved in solving these problems to differentiate the Knowledge Based Expert System programming from normal programming. The development of an expert system requires a tool that will provide for better means of knowledge acquisition, inference mechanism and user interface. This paper brings out an overview of Expert System, a systematic study involving a critical analysis of the Expert System (ES) development, specifying its requirements. Further it highlights the features of Expert System and its implementation.