Page 240 - DCAP310_INTRODUCTION_TO_ARTIFICIAL_INTELLIGENCE_AND_EXPERT_SYSTEMS

Introduction to Artificial Intelligence & Expert Systems Mithilesh Kumar Dubey, Lovely Professional University

Notes Unit 13: Expert System Architecture

CONTENTS
Objectives
Introduction

13.1 Expert System Architecture
13.2 Rule-based Systems
13.2.1 Forward Chaining (Data-driven Rule-based Expert Systems)

13.2.2 Backward Chaining (Goal-driven Rule-based Expert Systems)
13.3 Non-production System Architectures
13.3.1 Associative or Semantic Networks
13.3.2 Frame Architecture
13.4 Semantic Memory

13.4.1 Feature Models
13.4.2 Associative Models
13.5 Knowledge Acquisition and Validation

13.5.1 Methods for Knowledge Acquisition
13.5.2 Validation of Knowledge
13.6 Distinguishing Features of Expert Systems
13.6.1 Utility of Expert Systems
13.7 Summary

13.8 Keywords
13.9 Review Questions
13.10 Further Readings

Objectives

After studying this unit, you will be able to:

Describe Expert System Architecture
Discuss Rule-based Systems
Explain Non-production System Architectures

Identify how to deal with Uncertainty and Change
Discuss Knowledge Acquisition and Validation
Explain distinguishing features of Expert Systems

234 LOVELY PROFESSIONAL UNIVERSITY