Artificial intelligence: a modern approach 

Table of Content
Chapter 1 Introduction
Chapter 2 Intelligent Agents
Chapter 3 Solving Problems by Searching
Chapter 4 Beyond Classical Search
Chapter 5 Adversarial Search
Chapter 6 Constraint Satisfaction Problems
Chapter 7 Logical Agents
Chapter 8 First-Order Logic
Chapter 9 Inference in First-Order Logic
Chapter 10 Classical Planning
Chapter 11 Planning and Acting in the Real World
Chapter 12 Knowledge Representation
Chapter 13 Quantifying Uncertainty
Chapter 14 Probabilistic Reasoning
Chapter 15 Probabilistic Reasoning over Time
Chapter 16 Making Simple Decisions
Chapter 17 Making Complex Decisions
Chapter 18 Learning from Examples
Chapter 19 Knowledge in Learning
Chapter 20 Learning Probabilistic Models
Chapter 21 Reinforcement Learning
Chapter 22 Natural Language Processing
Chapter 23 Natural Language for Communication
Chapter 24 Perception
Chapter 25 Robotics
Chapter 26 Philosophical Foundations

This edition captures the changes that have taken place in the field of artificial intelligence (AI) since the last edition in 2003. There have been important applications of AI technology, such as the widespread deployment of practical speech recognition, machine translation, autonomous vehicles, and household robotics. There have been algorithmic landmarks, such as the solution of the game of checkers. There has also been a great deal of theoretical progress, particularly in areas such as probabilistic reasoning, machine learning, and computer vision.