- Amazon Student members save an additional 10% on Textbooks with promo code TEXTBOOK10. Enter code TEXTBOOK10 at checkout. Here's how (restrictions apply)
Artificial Intelligence: A Modern Approach (3rd Edition) Hardcover – Dec 1 2009
|New from||Used from|
Special Offers and Product Promotions
Frequently Bought Together
Customers Who Bought This Item Also Bought
No Kindle device required. Download one of the Free Kindle apps to start reading Kindle books on your smartphone, tablet, and computer.
To get the free app, enter your e-mail address or mobile phone number.
From the Back Cover
The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications.Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics.For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.
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.
Inside This Book(Learn More)
Browse and search another edition of this book.
What Other Items Do Customers Buy After Viewing This Item?
Top Customer Reviews
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.)
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 !
George Frederick Thomson Broadhead
p.s.: essentially a big problem of consciousness !