Artificial Intelligence: A Modern Approach 3rd Edition by Stuart Russell (PDF)

Description

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 Kindle™, NOOK™, 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.

User’s Reviews

Editorial Reviews: 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.

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐This 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!

⭐This 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.

⭐the cover of the book is damaged it is a lot of money for such damaged book.

⭐This 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.

⭐The content of this book is outstanding, considered by many to be the bible of AI textbooks. Incredible clarity and easy to read. Both Peter Norvig and Stuart Russell are icons of this field. Anything else I could add in this respect has already been said in countless other positive reviews.On content alone, I would easily give the book 5 stars. However, I have three criticisms regarding issues which markedly affect the “usability” of the book and hence reduce the rating:1) The “Contents” listing of this book is simply a list of chapter headings – each typically 2 words. In this latest edition (unlike previous ones), there is no longer a breakdown of what’s in each chapter, which would help you at a glance see which chapter you need to look at for certain key topics. This is disappointing and pretty unhelpful in a text of over 1000 pages.2) The above problem is compounded by an appallingly poor index section. Try looking up “Neural Networks”, “Hidden Markov Model”, “Minimax”, “Expectation”, “Back propagation”, “Utility”, etc, etc. Whilst the content of this book makes it an outstanding text to work from, its value as a reference is massively reduced given that there is no reliable way of being able to find things in it…. or in the case of a new reader …just knowing if certain topics/items are even covered in the book. For example, given that there is no mention of “Support Vector Machines”, “Boosting”, or even “Bayes” (!) in the index (or the contents), how would an unfamiliar reader know if these were even covered by the book, let alone find them again at a later date.3) The physical quality of this book is dismal. The cover is thin/flimsy. The pages are incredibly thin. This is not just an aesthetic issue. Lots of people who really use a text book, go back to it for many years, use post-its, write notes in it, use highlighters etc. The quality of the paper in the book affects your ability to do this. When I first received it, I thought I had been sent an Indian reprint (I checked: it’s a legitimate UK copy). In fact the quality of the Pearson edition is far worse than some of the Indian reprints of other texts I’ve ended up with. I know there’s a balance here, of not pushing the price up, and not making a long book too heavy or too thick, but this is by far the poorest quality text book on my shelves, which at the price is rather galling.Come on Pearson, this is a popular, big-seller textbook, famous in its field. At the price you are charging for it, the quality should be better than this. At the very least, you could tackle the relatively trivial task of sorting out a half decent Table of Contents & providing a reliable index.Note: My comments refer to Pearson New International Edition – 3rd edition ISBN-10: 1292024208, ISBN-13: 978-1292024202.

⭐Kindle Edition has serious issues where it renders mathematical symbols such as x and y as a tiny dot. This makes a hard topic nearly impossible to follow.(I’m willing to buy the paperback instead, but would like to keep the Kindle as an searchable index)

⭐The book refer to Appendixes that do not exist. Also it refers to pages that do not contain information it claims to have. For example on page 245 it refers me to page 1066 for BNF. However if you go to page 1066 you find Bibliography. So I believe the book is incomplete as Appendixes are not included.

⭐The book itself is meant to be well worth reading – this review is about the packaging and quality of the item received. Book received was largely creased and dented upon arrival (despite the packaging remaining unscathed). Was expecting better condition from a new item.

⭐This is a superbly written book, well deserving its classic status. It loses a star because the publisher has released it in the flimsiest soft cover imaginable.

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