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Artificial Intelligence: A Modern Approach is an authoritative book on the science of artificial intelligence by two of the foremost authorities on the subject. Considered the most widely-read book on the subject, it is intended for an undergraduate course. The book covers the basics of artificial intelligence and shows how different problem solving methods can be translated into machine-friendly code or algorithms. It goes on to explain how machines can be taught to think and reason like human beings and how uncertainty can be perceived by a machine. In addition the book covers how machines can be taught to learn and continuously evolve, communicating, perceiving and acting as they go along. It is an essential text for every computer science professional trying to build an advanced artificial intelligence system.
About the Authors
Peter Norvig is the Director of Research at Google Inc., and an American computer scientist. One of the leading member of the the Association for the Advancement of Artificial Intelligence, he has served as the head of the Computational Sciences Division at the NASA Ames Research Center.
Dr. Norvig obtained his Ph.D. in Computer Science from the University of California, Berkeley. He has also written Paradigms of AI Programming: Case Studies in Common Lisp, Verbmobil: A Translation System for Face-to-Face Dialog, and Intelligent Help Systems for UNIX.
Stuart Russell is an English computer scientist known best for his contributions towards the field of artificial intelligence. A graduate of Wadham College, Oxford, he obtained his Ph.D. in Computer Science from Stanford University and is currently a Professor of Computer Science at the University of California, Berkeley.
Dr. Russell was the co-winner of the IJCAI Computers and Thought Award and in 2012 was was appointed to the Blaise Pascal Chair in Paris for his contributions to science.