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Artificial Intelligence: A Modern Approach 3rd Edition
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From the Back Cover
The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications.Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics.For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.
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.
- Item Weight : 4.4 pounds
- Hardcover : 1152 pages
- ISBN-10 : 0136042597
- ISBN-13 : 978-0136042594
- Dimensions : 8.45 x 1.95 x 10.3 inches
- Publisher : Pearson; 3rd edition (December 1, 2009)
- Language: : English
- Best Sellers Rank: #473,358 in Books (See Top 100 in Books)
- Customer Reviews:
Top reviews from the United States
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However, it's big for a reason. This book is filled with every possible thing you might want to know in the field of AI. It is all-encompassing from what I've seen. It also explains things very well in my opinion. Things are clear. You can clearly go through it, and although the math might need some note-taking, the book generally makes it easy for you to understand with examples. If you want to start delving into AI, machine learning, etc, but feel daunted about all the different crazy terms they use (adverserial networks, loss functions, overfitting, etc.), this is a good book to introduce to all this. It certainly did for me (Chapter 18: Machine Learning)
- Missing many chapters
- Many blank pages
- Order jumbled up , so you can't read in sequence
With the massive number of reviewers and contributors, the book presents a balanced, realistic, and and down-to-earth understanding.
The biggest attraction of this book, unlike many other books on this subject is that: 1. It avoids hype but humbling explaining things, and 2. It does not force you to understand things by referring you to some code fragment that is difficult to understand or execute.
I liked the fact that this book has a nice and logical organization. Contents: I. Artificial Intelligence, II. Problem Solving, III Konwledge, Reasoning, and Planning, IV. Uncertain Knowlege and Reasoning, V. Learning, VI. Communicating, Presenting, and Acting, VII. Conclusion.
The content of the book was good enough for my class, though.
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.
Top reviews from other countries
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.
(I'm willing to buy the paperback instead, but would like to keep the Kindle as an searchable index)