Artificial Intelligence: A Modern Approach

An author of this book is said to have commented that its writing has made him a millionaire. It is used in over 1000 universities for a simple reason, it is good. The book uses the concept of an agent to unify the formerly fragmented field of AI and to link together concepts as diverse as logic programming and ethics. It is very easy to read and touches every area of modern research interest I can think of. The problems have a nice variety of difficulties (although there are no worked-out solutions in the book) and provide a mix between theory and practice, introducing the careful student to concepts and papers not developed in the main text of the chapter. The bibliography is well laid-out and provides useful depth (one of my current research interests was sparked by reading one of the referenced papers in the 2nd chapter).My only complaint so far (not having finished the entire book) is that some of the definitions in chapter 17's whirlwind introduction to game theory were a little vague. But, a quick look at some other sources clarified things immensely.It is rare to find a textbook as interesting and clear as this one. If a professor is requiring that you read it, consider yourself fortunate. If you are thinking of reading it yourself, you also are blessed. Look forward to many pleasant evenings.

I am half way through and I like it so far. Frankly I am puzzled by other reviewers complaining about "lack of real code examples", they clearly have not read the book carefully: it comes with tons of sample code (online) written in different languages, publishers/authors simply did not want to waste the precious real estate. The book is nearly a thousand pages already.Otherwise this is a great CS book. Yes there is some math in it, but don't be scared - there is an appendix with all necessary mathematical background you'll need (and you don't need much). I was surprised to see so much historical references in this book, it teaches you not just about most major branches of AI, but also about how they started and where originated from in a "problem -> solution" form. For instance when they talk about genetic algorithms they actually go ahead and write a comprehensive comparison of analogies between biological evolution, genes and their computer-generated counterparts referencing the original work of Darwin and others.If you're into AI, applied mathematics or computer science, I have no doubt you'll enjoy this book: it's not too focused on something specific (and something you'd need a PhD to understand) while not too shallow and covers fairly wide spectrum of AI problems, including (!) ethical and philosophical issues like "what happens if we succeed?"Highly recommended.

A great deal of required reading. Text while being required, has a great level of depth on the subject matter. Since this is a text book for class, this is the only one that I have read on this topc.

This book is very worthwhile if you are looking into AI with the purpose of understanding the various techniques, etc. It gives a really good background, and I find it useful. The only changes I would have made (for me, not everyone else) would be to include a few short chapters on second order logic, and the basic mathematics and math terms used in the book. It assumes more knowlege in math than I have. It would also be nice if it had a "recommended reading" page, listing those texts that would be useful for an AI beginner to review in order to understand the math and logic referred to. (My degree was in 79, and I only had a very basic calculus course...not too deep...I can diffentiate, but that is all).It would just be nice if they could list reference books for people who are math nieve.

Until recently, my Algorithms book was my favorite text book ever. However, AI: A Modern Approach has supplanted it. This book is the most thoughtfully designed, easily understandable, clear text I've ever used in over 28 years of attending schools. I really knew nothing about AI when I took my first grad class in AI, but this book, along with a pretty great instructor, has been a wonderful resource, more than any other book I've used. I have not need to google for more information or speak to the professor. The answers are here--clear and concrete.Have no fear and trust this book!

This book is a great survey of Artificial Intelligence that can be used to look back on no matter how experienced in the subject you become. I continue to find the sections that discuss large data set analysis for automated learning to be very grounding.As a student, I am often tempted to find ways to not purchase textbooks as you only end up using them for a semester but this is definitely one that you should spring for if you plan on doing AI work in the future.

I bought this book for a good price. It has amazing content, it explains all of the fundamentals of AI (even as of 2018), and has numerous visual aids. I would recommend this book.

Great book on AI. An absolute delight. Starts with the basics of AI and builds on top of this foundation with well structured guidelines and examples.Caution: Watch out for not-so-clever relatives that will jokingly ask you "how's the plot?" or quip "don't spoil the ending for me"

good

Artificial Intelligence という抽象的ですが、ほとんどの現在のソフトウェアの基本になっているのです。本書は現在までの主要AI分野をほぼ網羅しており、教科書に使われております。リファレンスもかなりしっかりしているため、初学者の手ほどきに最良書と考えます。しかし、蛸壺の世界に入る方よりも、アプライドサイエンスとして、様々な産業で実践している多くの方にも、この本は必読と思われます。