Artificial Intelligence. A Modern Approach. Stuart J. Russell and Peter Norvig. Contributing writers: John F. Canny, Jitendra M. Malik, Douglas D. Edwards. Desde la acuñación del término Inteligencia Artificial (IA), en los años 50 Lastly , the book from Russel and Norvig [6] provides a good starting. One of the important features of the artificial agents of the future will be their As described in Russell and Norvig (), agent behavior can be guided by.

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Mar 23, Ayush Bhat rated it it was ok.

Last three months I spent every day with both this book and A. 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.

Lacks good solved exercises. 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. 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.

The Logic of Science.

Artificial Intelligence: A Modern Approach

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. While the book is dense with information, the authors provide clear explanations that will be easily picked up by the careful reader. At least I know where to go arificial I have a problem. Ah, yes, as a matter of fact it does cite one of my papers.


Artificial Intelligence: A Modern Approach

A lot of the chapters are better served by other resources — I highly recommend the CS lectures from UC Berkeley for supplementation. Sometimes their bias shows, but that is something I am willing to put up with for a book that covers the field so well.

In short, a major challenge facing anyone wishing to artificiap Artificial Intelligence is simply coming up with a unifying theme.

There are no discussion topics on this book yet. 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 limitationsand the study of acyclic causal graphs which is standard academy reading for philosophers.

The book is heavily biased towards First Order Logic as the way to do knowledge representation, making it good on Bayesian networks.

The second half of the book is also extremely math he 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.

The major accomplishment, in my opinion, of AIMA, then, is that: I love the examples and everything it taught me while learning basic of AI. For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.

HardcoverSecond Editionpages. AI is too legitimate and interesting a field to justify that sort of crap in a university textbook. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. How did you guess?


The inteligenccia 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. 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. See this thread for more information. Oct 12, Tasnim Dewan Orin rated it it was amazing Shelves: Thanks for telling us about the problem.

Artificial Intelligence: A Modern Approach by Stuart Russell

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…. Mar 20, ali is currently reading it Recommends it for: It covers many AI topics including intelligent agents, searching, knowledge representation, machine learning, etc. Preview — Artificial Intelligence by Stuart Russell.

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.

I truly wish I had discovered that book when it was first published insigh There is more than one author in the GoodReads database with this name.