Expert System
This course introduces the student to the general overview of expert systems, and how to build an expert system in a variety of application areas.
COURSE OUTLINE
INTRODUCTION TO KNOWLEDGE ENGINEERING
INTRODUCTION TO EXPERT SYSTEM
KNOWLEDGE ACQUSITION
THE REPRESENTATION OF KNOWLEDGE
INFERENCING STRATEGIES
REASONING UNDER UNCERTAINTY
INTRODUCTION TO KNOWLEDGE ENGINEERING
- Introduction
- Data, Information and knowledge
- Engineering, software engineering & knowledge engineering
- The role of knowledge engineer
- Categories of KBS
INTRODUCTION TO EXPERT SYSTEM
- What is an ES?
- Conventional and ES
- The Characteristic of ES
- The Structure of ES
- The Characteristic of ES
- ES Development Life Cycles
- Participants in ES Development
- Selected Business Expert Systems and Functions
- Advantages of ES
- Limitations of ES
- When to Use Expert Systems
- Justifying the Problem Domain
- MYCIN: A medical expert system
- WEBCANDI: A Web based Expert System for Cancer Diagnosis
- Building Tools
KNOWLEDGE ACQUSITION
- Introduction
- Scopes of knowledge
- Knowledge Acquisition
- Problems in Knowledge Acquisition
- Knowledge Acquisition Techniques
- Structuring Knowledge Graphically
THE REPRESENTATION OF KNOWLEDGE
- Introduction
- Semantic Networks
- Decision Tables
- Decision Trees
- Frames
- Production Rules
- Logic
- Propositional Logic
- Predicate Calculus
INFERENCING STRATEGIES
- Introduction
- Categories of Reasoning
- Inference Techniques
- Control Strategies
- Comparative Summary of Backward and Forward Chaining
- Conflict Resolution
- Goal Agenda
REASONING UNDER UNCERTAINTY
- Certainty Theory
- Fuzzy approach
- Bayesian approach
Lecture Slides

1-expertsyoverview.pdf | |
File Size: | 669 kb |
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Module 2-knowledge engineering | |
File Size: | 4073 kb |
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Module 3-introduction to ES | |
File Size: | 15906 kb |
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4-knowledgeacquisition.pdf | |
File Size: | 11755 kb |
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Module 5: Representation of Konwoledge | |
File Size: | 12050 kb |
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Module 6- inferencing | |
File Size: | 2668 kb |
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Module 7: Reasoning Under uncertainty: Certainty approach | |
File Size: | 2195 kb |
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Module 8: Reasoning under uncertainty: Fuzzy approach | |
File Size: | 3221 kb |
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Module 9: Reasoning under uncertainty: Bayesian approach | |
File Size: | 1404 kb |
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