Faculty of Science

Objectives

To provide skills to build expert systems and evaluate different expert systems.

Contents

An introduction to Expert Systems (ES); Major characteristics of Expert Systems; ES architecture; Models of expert systems; An overview of Artificial Intelligence; knowledge representation; Symbolic computation rule based systems; Knowledge classification; acquisition and test; Constructive problem solving; Designing for explanation; Design and implementation of expert systems; Tools for building Expert Systems; Evaluation of expert systems; Fuzzy large development tools and development software; Blackboard systems; Maintenance; belief networks; neural networks; case based reasoning; Fuzzy and Hybrid Expert Systems; Intelligent Systems.