Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach

Stuart Russell Peter Norvig / Dec 10, 2019

Artificial Intelligence A Modern Approach Artificial Intelligence A Modern Approach e offers the most comprehensive up to date introduction to the theory and practice of artificial intelligence Number one in its field this textbook is ide

  • Title: Artificial Intelligence: A Modern Approach
  • Author: Stuart Russell Peter Norvig
  • ISBN: 9780136042594
  • Page: 247
  • Format: Hardcover
  • 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 ProfessorArtificial 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 TM , NOOK TM , and the iPhone R iPad R To learn about the course on artificial intelligence, visit http ai class To read the full New York Times article, click here.

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    485 Comments

    1. 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 [...]


    2. 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 [...]


    3. 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!


    4. 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) [...]


    5. 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 [...]


    6. 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.


    7. يعتبر هذا الكتاب أهم مرجع للدارس في مجال الذكاء الاصطناعي. الكتاب يعتبر مقدمة لمواضيع كبيرة جدا و متشعبة، فعيتبر بداية التخصص في الذكاء الاصطناعي. يتناول الكتاب مواضيع في تعلم الآلة وخوارزميات البحث وحل المشكلات. بعض أجزاء الكتاب تعبر من المراجع النادرة وخصوصا في فيما يتعل [...]


    8. 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)MA 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 be [...]


    9. A bit boring. Lacks good solved exercises. Very short on detail in some areas such as Neural Networks. Very "theoretical".However it does provide a good theoretical introduction to many subjects. I liked the chapters on search.


    10. 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.


    11. 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 [...]


    12. 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.


    13. من المراجع النادرة في الكلية اللي لقيت عقلي قادر على استيعاب كلامها :Dأسلوب بسيط وممتع كمان، للي مهتم بالمجال أو مش مهتم بس مضطر يقرأ فيهفي الحالتين لطيفالمشكلة الوحيدة طوله الرهيب، أتمنى ألحق أخلص أكبر قدر ممكن قبل الامتحان


    14. 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.




    15. 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 ai-class/home/ led by coauthor of this book, Peter Norvig and Sebastian Thrun, a Professor of Computer Science and Electrical Engineering at Stanfor [...]


    16. 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 [...]


    17. 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 [...]


    18. 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 aimarkeley.


    19. 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.


    20. 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!


    21. 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.


    22. 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.



    23. Absolutely a must read for every A.I enthusiastic.The book covers most introductory topics in A.I and has challenging problems that you can use to make sure you understood the presented topic.


    24. Is mostly the history of AI, does little to teach you how to design AI.ough I was never able to finish the book.


    25. 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.




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