TL;DR
The fourth edition of the definitive textbook on artificial intelligence, thoroughly revised and updated to reflect the latest research and developments in AI.
Table of contents
Open Table of contents
Writing Background
AI: A Modern Approach was first published in 1995 and has since become the standard textbook for AI courses around the world. The fourth edition of the book was released in 2021 and includes extensive revisions and updates to reflect the latest research and developments in AI.
Author’s Introduction
The authors of AI: A Modern Approach, Stuart Russell and Peter Norvig, have been pioneers in the field of artificial intelligence for decades. In their book, they provide a comprehensive and authoritative introduction to all aspects of AI, from its history and theoretical foundations to its applications in a wide range of fields.
Key Insights
- AI is the science of making machines that can think and act like humans.
- AI is a rapidly growing field, with applications in a wide range of domains, including healthcare, finance, and transportation.
- The potential benefits of AI are enormous, but there are also potential risks that need to be carefully considered.
Chapter Summary
- Chapter 1: Introduction
- An overview of AI, including its history, goals, and applications.
- Chapter 2: Intelligent Agents
- A discussion of the different types of intelligent agents, and the different ways that they can be designed.
- Chapter 3: Problem Solving
- A discussion of different problem-solving techniques, including search, planning, and game playing.
- Chapter 4: Knowledge Representation
- A discussion of different ways to represent knowledge in a computer, including logical representation, semantic networks, and frames.
- Chapter 5: Reasoning
- A discussion of different reasoning techniques, including logical reasoning, probabilistic reasoning, and Bayesian networks.
- Chapter 6: Learning
- A discussion of different machine learning techniques, including supervised learning, unsupervised learning, and reinforcement learning.
- Chapter 7: Natural Language Processing
- A discussion of different techniques for natural language processing, including natural language understanding, natural language generation, and machine translation.
- Chapter 8: Computer Vision
- A discussion of different techniques for computer vision, including image processing, object recognition, and scene understanding.
- Chapter 9: Robotics
- A discussion of different techniques for robotics, including robot kinematics, robot dynamics, and robot control.
Conclusion
AI: A Modern Approach is a comprehensive and authoritative introduction to the field of artificial intelligence. It is an essential resource for anyone who wants to understand the current state of AI, and its potential impact on our future.
Others
The book has been translated into 14 languages and has sold over 1 million copies worldwide. The book is also available online for free.