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Artificial Intelligence: A Modern Approach, Global Edition Paperback – January 1, 2014
Purchase options and add-ons
- Print length1132 pages
- LanguageEnglish
- PublisherPearson
- Publication dateJanuary 1, 2014
- Dimensions8.07 x 1.18 x 10.04 inches
- ISBN-101292153962
- ISBN-13978-1292153964
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Product details
- Publisher : Pearson; 3rd edition (January 1, 2014)
- Language : English
- Paperback : 1132 pages
- ISBN-10 : 1292153962
- ISBN-13 : 978-1292153964
- Item Weight : 5.25 pounds
- Dimensions : 8.07 x 1.18 x 10.04 inches
- Best Sellers Rank: #2,687,299 in Books (See Top 100 in Books)
- Customer Reviews:
About the authors
Stuart Russell is a professor of Computer Science and holder of the Smith-Zadeh Chair in Engineering at the University of California, Berkeley, where he also directs the Center for Human Compatible Artificial Intelligence. He is an Honorary Fellow of Wadham College, University of Oxford and the vice-chair of the World Economic Forum's Council on AI and Robotics. His work for the UN building a new global seismic monitoring system for the Comprehensive Nuclear-Test-Ban Treaty has been recognized by the Feigenbaum Prize of the Association for the Advancement of Artificial Intelligence. He has been an invited speaker at TED, the World Economic Forum, and the Nobel Dialogues in Stockholm and Tokyo. He is the author (with Peter Norvig) of Artificial Intelligence: A Modern Approach, the number one bestselling textbook in AI which is used in over 1,400 universities in 128 countries. He was born in England and lives in Berkeley and Paris.
I live in Palo Alto, CA with my wife and two children. I am currently the Director of Research for Google, and I am teaching an Intro AI class at Stanford and online for the world. You can buy some of my books here at Amazon.
Customer reviews
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Learn more how customers reviews work on AmazonCustomers say
Customers find the book provides good examples and explanations of complex concepts. They find it informative and a useful reference text for learning about artificial intelligence. The book covers a wide range of topics with a comprehensive coverage of modern themes. Readers appreciate the updated references and table of contents. However, opinions differ on whether the book is worth the price or not, with some finding it invaluable while others mention issues with the binding and paper quality.
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Customers find the book's explanations clear and concise. The topics are presented from a basic understanding to solving simple problems. The examples and algorithms are presented in a simple, easy-to-understand way. The book provides a comprehensive overview of scientific techniques involved in making expert systems.
"...It's very well written and organized...." Read more
"...(replicated in many languages on the companion website) explain decision based structures and there use in agent design ,assuming very little along..." Read more
"...Fortunately, the book's definitions and summaries are generally coherent...." Read more
"...and now they just take up a lot of room on the screen and make the book harder to read...." Read more
Customers like the book content. They say it's great, big, and one of the best computer science textbooks ever. The book has a nice, logical organization and the authors are leading experts in the field of AI.
"This is by far one of the best books i have ever read...." Read more
"...I liked the fact that this book has a nice and logical organization. Contents: I. Artificial Intelligence, II...." Read more
"The book is awesome. I'm using this for a class I'm taking right now and would recommend anyone interested in AI read this...." Read more
"As a textbook, it's fine...." Read more
Customers find the book informative and useful as an introductory textbook to AI. It provides an excellent overview of concepts and is a key reference in the field of machine learning. The book covers every topic required and includes examples and clarifications on how to apply concepts.
"...If you are looking for a really good introductory textbook to AI that does not completely dumb things down, buy this book...." Read more
"...in that in its 1,145 pages it covers and effectively explains concepts and practices; It is authorative as it is written and edited by some people..." Read more
"...Additionally, the book is a great reference. Topics are highlighted in the margins; which simplifies finding sought information...." Read more
"...this is a good book to introduce to all this. It certainly did for me (Chapter 18: Machine Learning)" Read more
Customers find the book covers a wide range of topics and themes. They appreciate the good exposition in some areas, but lack sufficient examples. The book has new definitions on the outline that boost the search experience, and topics are highlighted in the margins which simplifies finding sought information.
"...Additionally, the book is a great reference. Topics are highlighted in the margins; which simplifies finding sought information...." Read more
"As a textbook, it's fine. It covers a wide range of concepts and topics in the field of artificial intelligence and is a good resource to have..." Read more
"...Also there are new definitions on the outline that boosts search experience...." Read more
"...Good exposition in some areas, but there are just not enough examples available for some of the mathematical techniques, and I really think students..." Read more
Customers find the book contains accurate content and references. It has a large reference database and a complete table of contents. The subject matter is up-to-date with few printing errors.
"...a digital representation of its physical counterpart, the table of contents was complete, and resizing was very smooth...." Read more
"...a very updated list of references - some (not many) new exercises -..." Read more
"...It appears to be very up-to-date with the subject matter...." Read more
"...It is well structured and have a large reference database, so if you want more you will be guided to a large historical reference for loads of..." Read more
Customers have different views on the book's value for money. Some find the samples alone worth the price, and it explores concepts well. Others mention cheap binding, poor quality paper, and appalling quality despite being hardcover.
"...and learning i got from these samples alone were worth the price of the book. If you are learning to program -- Read this book...." Read more
"...It is a bit pricey, but no more than other well written text books...." Read more
"...Yet, great 2nd Edition. - This 3rd Edition is alas AIMA 2.1 and not the AIMA 3.0 that I was waiting for...." Read more
"the cover of the book is damaged it is a lot of money for such damaged book." Read more
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Top reviews from the United States
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- Reviewed in the United States on November 19, 2011This is the best introductory review to Artificial Intelligence on the market. It's very well written and organized. There are other books that are better for focusing on one particular aspect of AI, but as a general book this is the best I've seen. If you are looking for a really good introductory textbook to AI that does not completely dumb things down, buy this book.
Most of the negative comments about this book come from people stating that it's not a big enough update from the prior edition. While it's true that the entire field of AI has not been completely updated since the last edition, it's also not the case that this book comes out with new editions with the frequency of some Calculus or Economics textbooks where new editions seem to come out purely to ensure students can't buy a used book for the course. The updates are substantial. Whether the new edition gives you enough extra to want to buy it if you own the old edition is a decision only you can make for yourself after spending some time at the website for the book aima.cs.uberkeley.edu.
The Kindle conversion of this book is absolutely horrendous. I prefer to buy electronic copies of books if possible so I don't have to carry a heavy hard copy around since I often read while commuting. I would not recommend that for this book, even though at a 1000+ textbook sized pages, it is a pretty substantial book. Fortunately a friend of mine had bought a Kindle copy of the book and I was able to see how bad it was and I bought the hard copy.
I recently got an email telling me Amazon was sending out an updated version of the Kindle version of Steve Job's biography because the conversion hadn't been done properly. They really need to do that for this book. Once done it may be a good idea to state on the website that the Kindle conversion has been fixed.
- Reviewed in the United States on April 6, 2010This is by far one of the best books i have ever read. For many years i have struggled with abtuse books on algorithms, programming languages and mathematics. This book is unlike anything i have read before. For the last 20 years, I as a lay person, who has not taken any university classes in AI and programming have had problems moving passed certain levels of complexity in my understanding. Simple things like decision tress and recursion had eluded me in the many books i read, seeming intangible in the areas where they would interface to the real world. Reading the explanations in this book i have finally got it. These authors through scenarios, explanations and code (replicated in many languages on the companion website) explain decision based structures and there use in agent design ,assuming very little along the way, outside of an elementary understanding of programming and logic, thus not losing me the reader. They gave me the building blocks and showed me how and why i would want to assemble them.
The code in this book is both beautiful, elegant and succinct all at the same time. The hours of exploration and learning i got from these samples alone were worth the price of the book.
If you are learning to program -- Read this book.
If you interested in decision and value based reasoning -- Read this book.
This is not a short book, but it is well worth the time investment. I plan on having it done within the year. I have learned so much about what i realize i knew so little of before, but I am so much more capable now than i ever was before, and that is because of this book.
- Reviewed in the United States on October 26, 2011This review is organized into two parts. The first part gives a general overview of the textbook and my thoughts about the content, while the second part gives a summary of the problems I've encountered while reading the Kindle version.
This book was made by multiple authors. Fortunately, the book's definitions and summaries are generally coherent. It has a through coverage on the history of AI, the definitions (those that are controversial have been noted as such), and provides psuedocode of many algorithms. Similar to other textbooks on this topic, it does not provide run-throughs of those algorithms.
The organizations of the book can be improved. I have some problems with the way they organized the material on the second part of the book (II: Problem Solving). Chapter 3 is named "Solving Problems by Searching", but I didn't realize all they did was on classical searches in Chapter 3 until I read Chapter 4. They could have explained why uniform-cost search is uninformed search even though it has a cost function better than they did in the textbook. A better naming scheme for those chapters would be "Ch3: Global Search ", "Ch4: Local Search/... (I would suggest breaking Chapter 4 and put it into different places.)".
I bought the Kindle version, and it had many formatting problems. Most of them are minor (such as missing a "space" between two words, images appearing in different locations, image sizes too small, etc.) However, I had caught one specific error in the second part of the book (somewhere between chapter 3-5) where the fact is exactly the opposite than the one written (forgot to add the negation?) I should have marked and noted it so I can write down which error it was in the review but I was too lazy...
But it's a good purchase overall!
Top reviews from other countries
- LuisReviewed in the United Kingdom on November 30, 2024
5.0 out of 5 stars Great
Everything is fine
-
Yves MERLINReviewed in France on March 27, 2020
5.0 out of 5 stars Incontournabler !!!
Ouvrage (que dis-je PAVE) incontournable pour toute personne qui veut se lancer dans l'Intelligence Artificielle.
Il reprend l'évolution de ce domaine et tous les éléments qui y nous amènent à L'IA d'aujourd'hui.
A posséder et maîtriser impérativement !
-
Cliente de AmazonReviewed in Mexico on May 24, 2017
5.0 out of 5 stars Gran libro!
Un libro muy completo, tiene todo el material necesario para entrar al grandioso mundo de AI, y es una gran referencia para temas más complejos
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R2CReviewed in Spain on May 17, 2017
5.0 out of 5 stars Está perfecto
Buena calidad del libro. Todo muy legible, el papel de buena calidad así como la impresión. Las figuras son todas muy nítidas. ¡Recomendado!
- W HendersonReviewed in Australia on September 16, 2020
5.0 out of 5 stars Comprehensive, detailed, practical
An incredibly comprehensive overview of the subject, with detailed exposition, great examples and lots of exercises to help develop understanding and skills. This covers history, key themes, approaches, pseudo-code examples, etc
