Page 164 - DCAP506_ARTIFICIAL_INTELLIGENCE

Artificial Intelligence Parminder Kaur, Lovely Professional University

Notes Unit 12: Learning

CONTENTS
Objectives

Introduction
12.1 Meaning of Learning

12.2 Rote Learning
12.3 Learning by Taking Advice
12.4 Learning from Examples

12.4.1 Induction
12.5 Explanation-based Learning
12.6 Learning by Parameter Adjustment

12.7 Learning with Macro-operators
12.8 Learning by Chunking
12.9 Discovery-based Learning

12.10 Learning by Correcting Mistakes
12.11 Learning by Recording Cases

12.12 Learning by Managing Multiple Models
12.13 Summary
12.14 Keywords

12.15 Review Questions
12.16 Further Readings

Objectives

After studying this unit, you will be able to:

 Understand the meaning of learning
 Illustrate the rote learning
 Discuss the learning from examples
 Understand the explanation based learning, etc.

Introduction

Learning is defined as modifications in the system that are adaptive in the sense that they
facilitate the system to do the similar task or tasks taken from the similar population more
competently and more successfully the next time.

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