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Artificial Intelligence: A Modern Approach 3rd Edition
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Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
Dr. Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence.
According to an article in The New York Times, the course on artificial intelligence is “one of three being offered experimentally by the Stanford computer science department to extend technology knowledge and skills beyond this elite campus to the entire world.” One of the other two courses, an introduction to database software, is being taught by Pearson author Dr. Jennifer Widom.
Artificial Intelligence: A Modern Approach, 3e is available to purchase as an eText for your KindleTM, NOOKTM, and the iPhone®/iPad®.
To learn more about the course on artificial intelligence, visit http://www.ai-class.com. To read the full New York Times article, click here.
- ISBN-100136042597
- ISBN-13978-0136042594
- Edition3rd
- PublisherPearson
- Publication dateDecember 1, 2009
- LanguageEnglish
- Dimensions9.2 x 2.05 x 11.1 inches
- Print length1152 pages
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About the Author
Stuart Russell was born in 1962 in Portsmouth, England. He received his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is a professor of computer science, director of the Center for Intelligent Systems, and holder of the Smith–Zadeh Chair in Engineering. In 1990, he received the Presidential Young Investigator Award of the National Science Foundation, and in 1995 he was cowinner of the Computers and Thought Award. He was a 1996 Miller Professor of the University of California and was appointed to a Chancellor’s Professorship in 2000. In 1998, he gave the Forsythe Memorial Lectures at Stanford University. He is a Fellow and former Executive Council member of the American Association for Artificial Intelligence. He has published over 100 papers on a wide range of topics in artificial intelligence. His other books include The Use of Knowledge in Analogy and Induction and (with Eric Wefald) Do the Right Thing: Studies in Limited Rationality.
Peter Norvig is currently Director of Research at Google, Inc., and was the director responsible for the core Web search algorithms from 2002 to 2005. He is a Fellow of the American Association for Artificial Intelligence and the Association for Computing Machinery. Previously, he was head of the Computational Sciences Division at NASA Ames Research Center, where he oversaw NASA’s research and development in artificial intelligence and robotics, and chief scientist at Junglee, where he helped develop one of the first Internet information extraction services. He received a B.S. in applied mathematics from Brown University and a Ph.D. in computer science from the University of California at Berkeley. He received the Distinguished Alumni and Engineering Innovation awards from Berkeley and the Exceptional Achievement Medal from NASA. He has been a professor at the University of Southern California and a research faculty member at Berkeley. His other books are Paradigms of AI Programming: Case Studies in Common Lisp and Verbmobil: A Translation System for Faceto-Face Dialog and Intelligent Help Systems for UNIX.
Product details
- Publisher : Pearson; 3rd edition (December 1, 2009)
- Language : English
- Hardcover : 1152 pages
- ISBN-10 : 0136042597
- ISBN-13 : 978-0136042594
- Item Weight : 4.4 pounds
- Dimensions : 9.2 x 2.05 x 11.1 inches
- Best Sellers Rank: #388,649 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.
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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!
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.
My rating is mainly based on the state of the Kindle version. There are some issues I have with it that keep me from enjoying it further.
The biggest problem is the overall format. Pages aren't just digital versions of the physical pages in the real book. They're broken up into thousands of screenshot-like segments. You can't scroll "up to the top of a page" or "down to the bottom" because each page segment is only as big as your screen. This would be fine if it were a much smaller book. My tablet counts 33,261 page segments when I use it, so you can see how this might be cumbersome for such a large book.
The effect of the above problem could be reduced a bit if the table of contents were complete. As it is, the table of contents is very limited in what section it allows you to "jump" to. The book is broken up into sections, each of which is covered in a number of chapters, as one might expect. But unfortunately, the Kindle version only lets you jump to the first chapter of each section, not any chapter in the book. This means that you either have to swipe through hundreds of page segments to get to the spot you want, or you can use the slider at the bottom of the screen and hope you land near where you want to be (the slider won't give you any additional info about where you are, either). I suppose you could swipe through it ahead of time and place book marks at each chapter header, but that shouldn't be something a reader has to do to navigate a book by its own chapters.
The only other things I can think to mention have to do with resizing the screen. It's not very smooth at all. In fact, there is usually a noticeable delay when you try to resize a page segment, probably because it has to re-calculate all the page segments to fit the new zoom scale. I'm sure this could be improved if each page were just a digital version of its physical counterpart. The other problem is that the images in the book do not resize with the text. This is an especially troublesome problem for this particular book, since there are a number of intricate diagrams and images of pseudo code algorithms that are very difficult to read at this size. I can't even read some of them, and my tablet screen is larger than 10 inches.
This is actually the second Kindle book I've purchased. The first one (Introduction to the Theory of Computation, by Michael Sipser) was near flawless. Each page was a digital representation of its physical counterpart, the table of contents was complete, and resizing was very smooth. I bought this AI book in Kindle form hoping for a similar experience, but I guess not all the kinks have been worked out yet. It honestly comes off feeling like a beta version that isn't quite finished. But given my experience with that other Kindle book, I know improvements can be made to this one.
All that being said, I can still use the Kindle version of this book. It's just very inconvenient. If you're looking to acquire this book, I'd recommend going with the physical version, for the time being. Yeah, it's another large textbook to haul around. But it will be a lot easier to navigate and use.
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Anyway, I hope to be back with a more detailed review after a year or so :)





















