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Artificial Intelligence: A Modern Approach (3rd Edition) [Hardcover]

Stuart Russell , Peter Norvig
4.7 out of 5 stars  See all reviews (3 customer reviews)
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Book Description

Dec 1 2009 0136042597 978-0136042594 3

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 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™, NOOK™, and the iPhone®/iPad®.


To learn more about the course on artificial intelligence, visit http://www.ai-class.com. To read the full
New York Times article, click here.

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About the Author

Stuart Russell was born in 1962 in Portsmouth, England. He received his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is a professor of computer science, director of the Center for Intelligent Systems, and holder of the Smith–Zadeh Chair in Engineering. In 1990, he received the Presidential Young Investigator Award of the National Science Foundation, and in 1995 he was cowinner of the Computers and Thought Award. He was a 1996 Miller Professor of the University of California and was appointed to a Chancellor’s Professorship in 2000. In 1998, he gave the Forsythe Memorial Lectures at Stanford University. He is a Fellow and former Executive Council member of the American Association for Artificial Intelligence. He has published over 100 papers on a wide range of topics in artificial intelligence. His other books include The Use of Knowledge in Analogy and Induction and (with Eric Wefald) Do the Right Thing: Studies in Limited Rationality.

Peter Norvig is currently Director of Research at Google, Inc., and was the director responsible for the core Web search algorithms from 2002 to 2005. He is a Fellow of the American Association for Artificial Intelligence and the Association for Computing Machinery. Previously, he was head of the Computational Sciences Division at NASA Ames Research Center, where he oversaw NASA’s research and development in artificial intelligence and robotics, and chief scientist at Junglee, where he helped develop one of the first Internet information extraction services. He received a B.S. in applied mathematics from Brown University and a Ph.D. in computer science from the University of California at Berkeley. He received the Distinguished Alumni and Engineering Innovation awards from Berkeley and the Exceptional Achievement Medal from NASA. He has been a professor at the University of Southern California and a research faculty member at Berkeley. His other books are Paradigms of AI Programming: Case Studies in Common Lisp and Verbmobil: A Translation System for Faceto-Face Dialog and Intelligent Help Systems for UNIX.


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Most helpful customer reviews
5.0 out of 5 stars Excelent! Feb 24 2013
Format:Hardcover|Amazon Verified Purchase
From the content to the physical quality of the whole book, I must say it's a great adquisition. I'm working on a thesis based on Natural Language Processing, and the whole book set up the perfect background knowledge for that.
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By Zokuaku
Format:Hardcover|Amazon Verified Purchase
This book covers a thorough reasoning of the start of the A.I Industry, and it's evolution and then immediately starts into some of the unique problems that only A.I can reason through in reasonable time. The content and the delivery in this book make it genuinely easy to understand and reason through whilst also giving a strong background in theory.

I recommend this to any interested in studying the fields of A.I. and Data-mining as a good source of relevant information to build a strong foundation from... The Algorithms and Theories discussed within give a strong relational background from which to branch from... I am personally learning from this book in my Introduction to AI course and my Advanced AI course (3000/4000 level courses respectively.)
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0 of 23 people found the following review helpful
4.0 out of 5 stars A.I. Feb 6 2011
Format:Hardcover
The Blue gene computer playing chess was nearly if not completely un-beatable!

The only problem is that artificial intelligence, to be as humans, has to be similar or the same as the story of the cyborg/robot "SOLO"...!

To define pain, as something a computer software feels, is only achievable artificially, other than simulating some software consequent problem !

One cell things also if they do not have a nervous system, cannot really know what pain or destruction is !

So it must be that the best A.I. computer would not be more than what a unicelular being is !

Kindly,
George Frederick Thomson Broadhead
p.s.: essentially a big problem of consciousness !
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