Chapter – 1 
Introduction
1.1 What is Artificial Intelligence?
1.2 The AI Problems
1.3 The Underlying Assumption
1.4 What is an AI Technique
1.5 The Level of the Model
1.6 Criteria for Success
1.7 Some General References

Chapter – 2 
Problems, Problem Spaces and Search
2.1 State Space
2.2 Production Systems
2.3 Problem Characteristics
2.4 Production System Characteristics
2.5 Uninformed Search Techniques

Chapter – 3
Heuristic Search Techniques
3.1 Generate-and-Test
3.2 Hill Climbing
3.3 Best-First Search
3.4 Problem Reduction

Chapter – 4 
Knowledge Representation
4.1 Knowledge Representation Issues
4.2 Representations and Mappings
4.3 Approaches to knowledge Representation
4.4 Issues in Knowledge Representation

Chapter – 5 
Representing Knowledge Using Rules
5.1 Predicate Logic- Representing Instance and Isa Relationships
5.2 Computable Functions and Predicates
5.3 Procedural Versus Declarative knowledge
5.4 Logic Programming
5.5 Forward versus Backward Reasoning

Chapter – 6 
Fundamental Use Cases for AI
6.1 AI Use Cases
6.2 Digital Personal Assistant and Chatbots
6.3 Shipping and Warehouse Management
6.4 Human Health
6.5 Knowledge Search
6.6 Recommender Systems
6.7 The Smart Home
6.8 Gaming
6.9 Movie Making
6.10 Data Cleansing and Transformation