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The last chapter presents an image processing application for elderly care, performing real-time 3D tracking based on a new evaluative multi-modal algorithm. We will send you an SMS containing a verification code. Please double check your mobile number and click on "Send Verification Code". Enter the code below and hit Verify. Free Shipping All orders of Cash on Delivery Pay for your order in cash at the moment the shipment is delivered to your doorstep. Log In. Don't have an account? Sign Up. Update your profile Let us wish you a happy birthday!

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Thank You! All Categories New Arrivals. Polo Assn. Tablets 7 - 7. What is Free shipping program? Lists with This Book. Community Reviews. Showing Rating details. More filters. Sort order. Nov 22, Manny rated it it was amazing Shelves: science , what-i-do-for-a-living. This monumental work, which completely dominates the AI textbook market, has been compared with classics like Watson's Molecular Biology of the Cell , and eminently succeeds in its goal of providing a clear, single-volume summary of the whole field of Artificial Intelligence.

As pointed out on the book's home page , it is used in over universities in over countries, and is the 25th most cited publication on Citeseer and the 2nd most cited publication of this century. The occasional sugges This monumental work, which completely dominates the AI textbook market, has been compared with classics like Watson's Molecular Biology of the Cell , and eminently succeeds in its goal of providing a clear, single-volume summary of the whole field of Artificial Intelligence. The occasional suggestion you may hear that it "has passed its sell-by" or "gives a decent picture of Good Old-Fashioned AI" can unhesitatingly be written off as envious carping from academics who wish they'd got something even a tenth as impressive on their CVs.

What was that? Ah, yes, as a matter of fact it does cite one of my papers. How did you guess? View all 7 comments. Heh, I opened this up to find the ISBN and found dried blood all over the pages, suggesting I read this during my cocaine-intensive period back in We used this book for CS, but I only got halfway though that semester and remember little of it see: careers in computer science, aforementioned negative effects of cocaine on. I went back and read most of this in , and found solid coverage of most everything useful I'm aware of from AI. View 1 comment.

Jul 31, Wooi Hen Yap rated it really liked it. Wants a book that explains broad and deep AI yet in laymen term nearly? This is IT. Of all the AI books I have read, this one is arguably the most accessible to undergrads CS, EE background It assumes only minimal mathematical formalities and pretty much the maths things are self-contained.

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The authors did a great job of keeping the contents up-to-date with the latest happenings in AI, while keeping the readers sane. Overall, thumbs up! Holy balls this book has a lot of pages. It starts off strongly for a few hundred pages, but then for no reason at all devotes several chapters to high school-level probability and statistics, before devolving into essentially pointless mathematical show-boating for another few hundred pages.

Then it finishes off with an interesting but not really relevant and highly unrigorous not to mention typo-ridden Holy balls this book has a lot of pages. Then it finishes off with an interesting but not really relevant and highly unrigorous not to mention typo-ridden overview of Google's various products mostly PageRank and Google Translate.

Artificial Intelligence: A Modern Approach, Global Edition

There's a few more chapters after that, but I think it's best to pretend they don't exist. Chapter 26 Philosophical Foundations , in particular, was a fucking embarrassment, giving more unnecessary to idiots like John Searle and Ray Kurzweil, and wasting paper on absurd hand-wringing over off-the-wall science-fiction scenarios.

AI is too legitimate and interesting a field to justify that sort of crap in a university textbook. In spite of all that, though, it's still a very good book, and a good overview of the field. I particularly liked that each chapter had an extensive section with historical and biographical notes at the end. If nothing else, it at least demonstrates that if the AI winter was ever a real thing at least in terms of research activity and progress , it's far behind us now. Apr 07, Paul rated it it was amazing. Artificial Intelligence is, in the context of the infant science of computing, a very old and very broad subdiscipline, the "Turing test" having arisen, not only at the same time, but from the same person as many of the foundations of computing itself.

Those of us students of a certain age will recall terms like "symbolic" vs.

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In short, a major challenge facing anyone wishing to survey Artificial Intelligence is simply coming up with a unifying theme. The major accomplishment, in my opinion, of AIMA, then, is that: Russell and Norvig take the hodge-podge of AI research, manage to fit it sensibly into a narrative structure centered on the notion of different kinds of "agents" not to be confused with that portion of AI research that explicitly refers to its constructs as "agents! It's up to the reader whether to follow the arcs of the stone from major subject to major subject, foregoing depth, or whether to pick a particular contact point and concentrate on the eddies propagating from it.

For the latter purpose, the extensive bibliography is indispensable. With all of this said, I have to acknowledge that Russell and Norvig are not entirely impartial AI practitioners. Norvig, in particular, is well-known by now as a staunch Bayesian probabilist who, as Director of Search Quality or Machine Learning or whatever Google has decided to call it today, has made Google the Bayesian powerhouse that it is.

Less known is Norvig's previous stint at high-tech startup Junglee, which was acquired by Amazon. So to some extent Peter Norvig powers both Google and Amazon. So one can probably claim, not without justification, that AIMA emphasizes Bayesian probability over other approaches. Finally, as good as AIMA is, it is still a survey. Even with respect to Bayesian probability, the treatment is introductory, as I discovered with some shock upon reading Probability Theory: The Logic of Science. That's OK, though: it's the best introduction I've ever seen.

So read it once for the survey, keep it on your shelf for the bibliography, and refer back to it whenever you find yourself thinking "hey, didn't I read about that somewhere before? Aug 06, Carl rated it it was amazing Shelves: own. For a textbook, this is amazingly accessible and interesting. Jun 07, A. Mignan rated it it was amazing Shelves: science-tech. The Bible on computational decision-making.

This textbook tends to perfection, with no stone left unturned. T The Bible on computational decision-making. There are 2 aspects I particularly enjoyed, 1 the historical sections at the end of each chapter; the introduction also gave a fascinating history of AI and its relationship to other fields neurology, logics, cybernetics…. I truly wish I had discovered that book when it was first published in , sigh Sep 02, Erik rated it liked it.

OK so I did not read this cover to cover, but I did look closely at much of what you might call the foundational chapters, just to see 1. Goal 2 was much more important as I teach a logic of induction class and of course one major pillar of AI would be developing machines that can perform judgments under uncertainty and apply rational heuristics as well as OK so I did not read this cover to cover, but I did look closely at much of what you might call the foundational chapters, just to see 1.

Goal 2 was much more important as I teach a logic of induction class and of course one major pillar of AI would be developing machines that can perform judgments under uncertainty and apply rational heuristics as well as humans do which is not very well at all by the way. I found out that I already knew most of this, from studies of Bayesian reasoning which is very tricky by the way and should not be blindly implemented like this without a clear view of the limitations , and the study of acyclic causal graphs which is standard academy reading for philosophers. These graphs also admit of howlers and counterexamples as anyone knows.

I am more interested in the idea of developing "stupid machines" that function more like neural networks and less like probability maximizers. The human brain is fundamentally in my view anyway a stupid-machine, full of crazy workarounds and faulty logic.

Introduction to AI: A Modern Approach

The correct solution or path is virtually never the one evolution comes up with, it just grinds it out with massive armies of neurons and interconnections and lots of trial and error, but nothing one would call a computation, as in Turing machines. Elegant algorithms for computer vision have, I believe, nothing to do with the way the brain constructs the visual image. One philosopher's take. Dec 19, Arjun rated it it was amazing Shelves: to-re-read. A fantastic textbook that's not only a great introduction to AI but also serves as a survey course in technical writing.

Re-reading some earlier chapters taught me how much I missed on a first read or forgot. The first 10 chapters or so are the A fantastic textbook that's not only a great introduction to AI but also serves as a survey course in technical writing. The first 10 chapters or so are the best and the second half of the book can be a bit of a trudge as it devolves into mathematical masturbation. A lot of the chapters are better served by other resources — I highly recommend the CS lectures from UC Berkeley for supplementation.


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Unfortunately, some chapters are straight up bad the chapter on Philosophical Foundations comes to mind , but these tend to be few and far between. Despite that, there is no more comprehensive book on AI. Read this, re-read this, and treat it with care — you will reap the rewards for a long time to come. Mar 07, Nakosy rated it really liked it.

It was written more like a text book for undergrads with extensive coverage of many topics. However, I was looking for more in-depth information on knowledge representation. But, it was too superficial for my need.

Professor Stuart Russell - The Long-Term Future of (Artificial) Intelligence

May be, in 3rd edition it encompassed the latest ideas in this area. Jan 05, James Ravenscroft rated it it was amazing Shelves: programming. This is THE book to read on anything to do with modern artificial intelligence. I regard this as my personal bible and would recommend it to anyone who is involved in technical artificial intelligence.

Dec 17, Drew rated it really liked it Shelves: textbooks. A comprehensive course in modern AI topics. While the book is dense with information, the authors provide clear explanations that will be easily picked up by the careful reader. An excellent companion to an undergraduate course in artificial intelligence. Great overview over such a big and complex field such as Artificial Intelligence.

Mar 01, Jaslyn rated it it was amazing. Mar 23, Shahriar Hossain is currently reading it. We call ourself Homo sepiens - man the wise This is the most complete and comprehensive book I read on a subject of Artificial Intelligence so far and it's very well written as well. If you plan diving into AI really seriously and you are keen to invest some good amount of time going through pages of this book then I really recommend it for you.

Great addition to this book is A. Last three months I spent every day with both this book and A. Fantastic and comprehensive book on the different aspects of artificial intelligence AI. I am attending Stamford cs online class fall and I am also a member of the team translating the videos from English to French. Peter Norvig is a great teacher. The book and the videos complement each another very well. Even if you are not taking the course, or after you have took it, this book is a superb reference on the subject for graduate students and professionals alike.

I highly recommend i Fantastic and comprehensive book on the different aspects of artificial intelligence AI. I highly recommend it to anyone interested in the field. It's a pricey book.