About Expert Systems
The course covers brief history of expert systems; why expert systems, time, space, consistency, quality in decision making, intellectual reasons, human cognitive shortcomings, pure reasoning systems vs knowledge rich systems. Knowledge acquisition; meaning, purpose and techniques. Knowledge representation; frames, rules, cases, classes and procedures. An introduction to expert system development tools and techniques. Inference methods; forward and backward chaining, depth and breadth approaches, rule selection strategies. Explanation; how/why, symbolic and non-symbolic systems, probability/certainty factor, fuzzy logic and case based reasoning. Applications