Artificial Intelligence: A Modern Approach, Global Edition, 3rd Edition

For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.

The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.

Table of Contents

Part I: Artificial Intelligence
Chapter 1 Introduction
Chapter 2 Intelligent Agents

Part II: Problem-Solving
Chapter 3 Solving Problems By Searching
Chapter 4 Beyond Classical Search
Chapter 5 Adversarial Search
Chapter 6 Constraint Satisfaction Problems

Part III: Knowledge, Reasoning, And Planning
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

Part IV: Uncertain Knowledge And Reasoning
Chapter 13 Quantifying Uncertainty
Chapter 14 Probabilistic Reasoning
Chapter 15 Probabilistic Reasoning Over Time
Chapter 16 Making Simple Decisions
Chapter 17 Making Complex Decisions

Part V: Learning
Chapter 18 Learning From Examples
Chapter 19 Knowledge In Learning
Chapter 20 Learning Probabilistic Models
Chapter 21 Reinforcement Learning

Part VI: Communicating, Perceiving, And Acting
Chapter 22 Natural Language Processing
Chapter 23 Natural Language For Communication
Chapter 24 Perception
Chapter 25 Robotics

Part VII: Conclusions
Chapter 26 Philosophical Foundations
Chapter 27 Ai:The Present And Future

Appendix A: Mathematical Background
Appendix B: Notes On Languages And Algorithms