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Introduction to Artificial Intelligence & Expert Systems Anil Sharma, Lovely Professional University

Notes Unit 3: Representation of Knowledge

CONTENTS
Objectives
Introduction

3.1 Knowledge Representation Techniques
3.1.1 Semantic Nets
3.1.2 Frames and Scripts
3.1.3 Logic
3.1.4 Facts and Rules

3.1.5 Statistics
3.1.6 Neural Networks
3.1.7 Mixed Approaches
3.2 Knowledge Organization
3.2.1 Factors
3.2.2 Chaining

3.2.3 Software Architecture
3.2.4 Theories of Knowledge is Represented and Organized
3.2.5 Participants
3.3 Knowledge Manipulation

3.3.1 The Turing Test
3.4 Knowledge Acquisition
3.4.1 Types of Learning
3.4.2 Knowledge Acquisition Problem
3.4.3 Knowledge Acquisition Represented and Organized
3.5 Summary

3.6 Keywords
3.7 Review Questions
3.8 Further Readings

Objectives

After studying this unit, you will be able to:
Identify Knowledge Representation Techniques

Discuss the concept of Knowledge Organization
Describe Knowledge Manipulation
Explain Knowledge Acquisition

30 LOVELY PROFESSIONAL UNIVERSITY