Chapter 1

Introduction

Intelligence and AI; Thinking and acting humanly or rationally; History and foundations of AI.

Chapter 2

Intelligent Agents

Agents and environments; Types of agents; PEAS; PAGE model.

Chapter 3

Problem Solving by Searching

State space; Problem formulation; Search strategies; Uninformed and informed search.

Chapter 4

Knowledge Representation

Importance; Issues; KR systems; Properties; Representational methods.

Chapter 5

Machine Learning

Supervised, unsupervised, and reinforcement learning; Naive Bayes; ML concepts.

Chapter 6

Applications of AI

Expert systems; Components; Knowledge base; Inference engine; Development of expert systems.