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Russell und Norvigs Buch zur Kunstlichen Intelligenz ist das weltweit am haufigsten eingesetzte Lehrbuch zur KI. Die Autoren verstehen es, die Kunstliche Intelligenz in Ihrer ganzen Themenvielfalt fur den Studierenden verstandlich und nachvollziehbar darzustellen. Uber 380 Ubungen erleichtern den Einsatz im Unterricht und das Selbststudium. Hier finden Sie Downlo...more
Russell und Norvigs Buch zur Kunstlichen Intelligenz ist das weltweit am haufigsten eingesetzte Lehrbuch zur KI. Die Autoren verstehen es, die Kunstliche Intelligenz in Ihrer ganzen Themenvielfalt fur den Studierenden verstandlich und nachvollziehbar darzustellen. Uber 380 Ubungen erleichtern den Einsatz im Unterricht und das Selbststudium. Hier finden Sie Downlo...more
Published January 1st 2004 by Pearson Studium (first published December 13th 1994)
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Rating details
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Nov 22, 2008Manny rated it it was amazing · review of another edition
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 1200 universities in over 100 countries, and is the 25th most cited publication on Citeseer and the 2nd most cited publication of this century. The occasional sugges...more
Nov 27, 2008Nick Black rated it liked it · review of another edition
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 1999-2000. That's fitting, since cocaine and the study of artificial intelligence seem to enjoy several similarities -- incredible expense as a barrier to entry, exciting short-term effects (see: euphoria, A* search) but letdowns upon prolonged use (see: addiction, combinatorial explosions), and they've both ruined plenty of fine careers in computer s...more
Jul 31, 2011Wooi Hen Yap rated it really liked it · review of another edition
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. 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!
Jan 14, 2011Koen Crolla rated it really liked it · review of another edition Shelves: computer-science, programming, textbooks
Holy balls this book has a lot of pages. I also don't know why these things always have to have separate ``international' editions.
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)...more
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)...more
Apr 07, 2013Paul rated it it was amazing · review of another edition
5 stars because there is, quite simply, no substitute.
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. 'connectionist' vs. 'probabilistic,' as well as 'scruffies' and 'neats.' Key figures, events, and schools of thought...more
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. 'connectionist' vs. 'probabilistic,' as well as 'scruffies' and 'neats.' Key figures, events, and schools of thought...more
Aug 06, 2008Carl rated it it was amazing · review of another edition
For a textbook, this is amazingly accessible and interesting. if you have any interest in the topic, this is the book to read. It's $100 or more, but it's very popular for AI classes, so any good college library should have a copy.
Jun 07, 2018A.N. Mignan rated it it was amazing · review of another edition
The Bible on computational decision-making. I use this term as this book is not just about the AI/machine learning we consistently hear about, it’s much more. This textbook tends to perfection, with no stone left unturned. Looking forward to the next edition, which, at the accelerating rate of innovation, looks overdue (the following sentence surely feels outdated: “Current Go programs play at the master level on a reduced 9 × 9 board, but are still at advanced amateur level on a full board”). T...more
Sep 02, 2013Erik rated it liked it · review of another edition
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. is there such a thing as AI, or are we just hoping there will be and 2. what can I learn as a philosopher from AI, whether it exists or not. 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...more
Dec 19, 2014Arjun rated it it was amazing · review of another edition
A fantastic textbook that's not only a great introduction to AI but also serves as a survey course in technical writing. I only read about 75% of it but definitely plan on revisiting it. Re-reading some earlier chapters taught me how much I missed on a first read (or forgot).
AIMA doesn't presume a ton of background beyond some programming experience, exposure to mathematical notation, and a basic understanding of computational complexity/algorithmic efficiency.
The first 10 chapters or so are the...more
AIMA doesn't presume a ton of background beyond some programming experience, exposure to mathematical notation, and a basic understanding of computational complexity/algorithmic efficiency.
The first 10 chapters or so are the...more
Mar 07, 2011Nakosy rated it really liked it · review of another edition
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. May be, in 3rd edition it encompassed the latest ideas in this area.
Jan 05, 2012James Ravenscroft rated it it was amazing · review of another edition
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, 2007Drew rated it really liked it · review of another edition
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.
Jan 13, 2019Francisca Painhas rated it really liked it · review of another edition
Great overview over such a big and complex field such as Artificial Intelligence
Mar 01, 2018Jaslyn rated it it was amazing · review of another edition
not bad for an intro: simple math, minimal jargon and pretty organized
Mar 23, 2017Shahriar Hossain is currently reading it · review of another edition
May 07, 2011Daniel Korzekwa rated it it was amazing · review of another edition
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 1000 pages of this book then I really recommend it for you. Great addition to this book is A.I. course https://www.ai-class.com/home/ led by coauthor of this book, Peter Norvig and Sebastian Thrun, a Professor of Computer Science and Electrical Engine...more
Nov 10, 2011Jean-marc rated it it was amazing · review of another edition
Fantastic and comprehensive book on the different aspects of artificial intelligence (AI). I am attending Stamford cs221 online class (fall 2011) 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...more
Oct 23, 2009David rated it liked it · review of another edition Shelves: non-fiction, i-have, artificial-intelligence, computer-science
It's a pricey book. It was used in my university on AI. It covers many AI topics including intelligent agents, searching, knowledge representation, machine learning, etc. There are enough examples, but not enough good and clear examples. The book is heavily biased towards First Order Logic as the way to do knowledge representation, making it good on Bayesian networks. Other topics like neural networks and machine vision would be better off read elsewhere. Overall, the book is not for light readi...more
Jan 01, 2011Patrick Jennings rated it liked it · review of another edition
Pretty much THE book to have on comprehensive artificial intelligence. AI: A Modern Approach is used in schools and universities across the globe. Don't expect implementations in anything but general pseudocode in this book. Although, you may check the repository at aima.cs.berkeley.edu.
Mar 20, 2012Jamison Dance rated it really liked it · review of another edition
The classic introduction to the field. Peter Norvig and Stuart Russell are great writers, and do a good job of explaining the concepts. Sometimes their bias shows, but that is something I am willing to put up with for a book that covers the field so well.
Mar 03, 2011Carl-Erik Kopseng rated it it was amazing · review of another edition
One of the best technical books I have read, albeit on a hard topic. It's quite readable and a lot better than my AI lectures ever were. Must admit to only reading the first 12 chapters though.
Its main weakness lies in the lacking coverage of 'new AI' topics, such as evolutionary algorithms.
Its main weakness lies in the lacking coverage of 'new AI' topics, such as evolutionary algorithms.
May 16, 2012Franta rated it it was amazing · review of another edition
What a nice and useful book!
All the main AI (before 2000 or so) is here and the accompanying code in lisp and python is a good way to learn about the implementation details.
I will surely remember this book when I am writing a similar one!
All the main AI (before 2000 or so) is here and the accompanying code in lisp and python is a good way to learn about the implementation details.
I will surely remember this book when I am writing a similar one!
Oct 12, 2017Tasnim Dewan Orin rated it it was amazing · review of another edition
This is holy grail i.e basic book for any AI researchers. I love the examples and everything it taught me while learning basic of AI.
May 27, 2012Mahmoud Adly rated it liked it · review of another edition
That paradox of loving AI and hating the journey the center of math. Any ways, it is a reference after all. At least I know where to go when I have a problem.
Jan 28, 2018Ryan Finlayson added it · review of another edition
May 15, 2019Antonis Maronikolakis rated it it was amazing · review of another edition
Artificial Intelligence: A Modern Approach by Stuart Russel and Peter Norvig is book introducing the reader to a wide range of AI topics. From the traditional Search problems to Natural Language Processing, this book has it all. It brims with a lot of detail and is suited to anyone with an interest in AI. If you want an introduction to this -sometimes daunting- field, this book is for you.
Even though it doesn’t go in great detail in all topics, it offers a thorough investigation of most of them....more
Even though it doesn’t go in great detail in all topics, it offers a thorough investigation of most of them....more
Apr 16, 2018Nick Greenquist rated it really liked it · review of another edition
Extremely dense book that covers just about every subgroup of AI. Focused a little too much on the 'logical' sections that are then blown away a few hundred pages later when you learn that the real world is too complex to make logical rule systems for any worthwhile problem. That's where machine learning comes in. Yet, the chapters on ML (while still amazing) are not as in depth as the logic chapters that take up the middle few hundred pages. The second half of the book is also extremely math he...more
Aug 05, 2019John Doe rated it it was amazing · review of another edition
Old Fashioned Chronologicale Dictionary
I use it as introduction or table of contents to get a taste of how each sub field of AI inter related to each other After I finished machine learning study. But to really dive into each of the subject matter of each chapter, you will need to go find more specific books or papers to dig into the details.
Overall its a great intro to this field. Just don't count on reading this book alone can somehow make you an AI specialist. No single book can do that for...more
I use it as introduction or table of contents to get a taste of how each sub field of AI inter related to each other After I finished machine learning study. But to really dive into each of the subject matter of each chapter, you will need to go find more specific books or papers to dig into the details.
Overall its a great intro to this field. Just don't count on reading this book alone can somehow make you an AI specialist. No single book can do that for...more
Jul 22, 2019Sara Shahmohamadi rated it it was amazing · review of another edition
Absolutely stunning. I managed to learn the basics of artificial intelligence using this book. You don't have to know much before studying this book. All you need to get by studying it is in there. I personally had to study it a lot of times, but it was worth it. The exercises are absolutely recommended, but the lack of programming exercises (It's not that there are not any, there are. But there could be more, IMHO) is still felt.
Mar 23, 2018Ayush Bhat rated it it was ok · review of another edition
The book wastes much space with explanations of the trivial and then leaves a big gap in helping the student to understand how to build algorithms to solve the classic problems. There are many problems at the end of each chapter, but not even any hints of how to solve them. There is a set of multiple choice questions and answers at the end of the book; these challenge only the students ability to memorize definitions.
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