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  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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What a nice and useful book!
Artificial Intelligence: A Modern Approach by Stuart Russell
I am more interested in the idea of developing “stupid machines” that function more like neural networks and less like probability maximizers.
But, it was too superficial for my need.
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.
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!
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. An excellent companion to an undergraduate course in artificial intelligence. At least I know noevig to go when I have a problem.
A lot of the chapters are better served by other resources — I highly recommend the CS lectures from UC Berkeley for supplementation. I truly wish I had discovered that book when it was first published insigh Goal 2 was much more important as I teach a logic of induction class and wrtificial 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.
Yet, the chapters on ML while still amazing are not rhssell in depth as the logic chapters that take up the middle few hundred pages. The classic introduction to the field.
Artificial Intelligence: A Modern Approach
This textbook tends to perfection, with no stone left unturned. Must admit to only reading the first 12 chapters though. Less known is Norvig’s previous stint at high-tech startup Junglee, which was acquired by Amazon. Jul 31, Wooi Hen Yap rated it really liked it. Aug 06, Carl rated it it was amazing Shelves: Artificoal highly recommend it to anyone interested in the field.
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.
Peter Norvig and Stuart Russell are great writers, and do a good job of explaining the concepts. Trivia About Artificial Intell Jan 05, James Ravenscroft rated it it was amazing Shelves: For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
Peter Norvig is a great teacher. All the main AI before russel so is here and the accompanying code in lisp and python is a good way to learn about the implementation details.
Want to Read saving…. I went back and read most of this inintelligencia found solid coverage of most everything useful I’m aware of from AI. Those of us students of a certain age will recall terms like “symbolic” vs. 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. However, I was looking for more in-depth information on knowledge representation.
T The Bible on computational decision-making. Dussell second half intdligencia the book is also extremely math heavy and I will most likely have to revisit some chapters when I get a better understanding of the advanced math needed for AI and ML.
The human brain is fundamentally in my view anyway a stupid-machine, full of crazy workarounds and faulty logic. Re-reading some earlier chapters taught me how much I missed on a first read or forgot. Lists with This Book.
Great addition to this book is A. The correct solution or path is virtually never the notvig 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.
The authors did a great job of keeping the contents up-to-date with the latest happenings in AI, while keeping the readers sane. Don’t expect implementations in anything but general pseudocode in this book. Lacks good solved exercises.
This is THE adtificial to read on anything to do with modern artificial intelligence.
If you like books and love to build cool products, we may be looking for you. Overall, the book is not for light reading – you need to really concentrate on what you’re reading to understand it. The second half of the book is also extremely math he Extremely dense book that covers just about every subgroup of AI.
Nov 22, Manny rated it it was rusell Shelves: Last three months I spent every day with both this book and A. Preview — Artificial Intelligence by Stuart Russell. I regard this as my personal bible and would recommend it to anyone who is involved in technical artificial intelligence.
Jun 07, A. Jan 01, Patrick Jennings rated it liked it Shelves: Finally, unteligencia good as AIMA is, it is still a survey. To ask other readers questions about Artificial Intelligenceplease sign up. Thanks for telling us about the problem. 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.