What you’ll find inside
Artificial Intelligence: A Modern Approach, Global Edition is the fourth-edition course text by Stuart J. Russell and Peter Norvig. It presents artificial intelligence as a set of related problems and methods, beginning with intelligent agents and progressing through search, reasoning, learning, language technologies, and robotics. The Global Edition is a distinct regional edition of the book; readers should match its title and edition details to the version specified by their instructor or reading list.
How is the book organized?
The first part introduces the field, its foundations, and intelligent agents. The problem-solving sequence then examines search strategies, optimization, unknown or partially observable environments, constraint-satisfaction problems, and game search. Subsequent chapters develop logical agents, first-order logic, inference, knowledge representation, and automated planning. This progression lets readers compare approaches that use explicit rules and representations with methods that work through search and structured decision-making.
The book then turns to uncertainty: quantifying it, reasoning probabilistically, handling change over time, and making simple or complex decisions. Later sections address multiagent decision-making, learning from examples, probabilistic models, deep learning, and reinforcement learning. Natural language processing, deep learning for language, and robotics extend the discussion to systems that interpret or act in the world. The closing material considers the philosophy and ethics of AI and possible future developments.
Who may use the Global Edition?
This edition can serve students and instructors looking for a broad AI textbook that links foundational topics with modern applications. Readers can use its chapter sequence to support a full course or focus on topics such as adversarial search, probabilistic reasoning, machine learning, natural language processing, and robotics. Because a U.S. edition is also available, verify that your course calls for the Global Edition before choosing this record.
Review the PDF sample
The listing identifies the Global Edition, fourth edition, by Russell and Norvig in PDF format. Check the edition and file format against your requirements; confirm that your reader handles diagrams, formulas, code examples, and tables clearly. Open the four-image preview to inspect sample pages, then browse computer science and IT ebooks or the full catalog.
ISBN and edition details
ISBN for this edition (reference): 9780134610993
This identifier belongs to a published version of the matching title/edition. A format-specific ISBN for the supplied PDF has not been independently confirmed.
Independent reader feedback
External reader-rating snapshot: 4.6/5 from 10 customer reviews on AllBookstores, checked 2026-10-08. This is third-party edition feedback, not a BQ MAG customer review.
Reader comments describe it as a broad introduction to AI; the wide topic coverage can feel dense in places.
J. Andrews –
LOTS of extensive info. Great for a reference. Computer education required.
Raj –
Ideal for reference
Jonathan Barth –
The ebook is more dense than I thought I would be. I have already done several courses in Machine Learning and Data Science. I would say this ebook is not for beginners.
Don –
A large text with 1200+ pages, it is a comprehensive introduction to the various components that go into AI. I particularly liked the first chapters that reviewed the history of AI, going back decades, that put the subject matter into historical context. Way too much for a casual read, it is a great reference.
Shadrack Nyamekye –
Meaningful!
R Trahan –
Should have clearly indicated this was an Indian market edition. I figured out how to get the missing chapter and it appears the content is the same. However, the seller should disclose in the description the variance in what they are selling.
Thomas –
👍👍👍
chaz –
comence leyendo la 2da edicion para conocer sobre el tema y supero mis expectativas, por eso creo que esta 4ta edicion es superior
MPC –
Not really useful for learning the topic .
svg menon –
Great ebook. Give all details of AI.