Stuart Russell, Peter Norvig – Artificial Intelligence. A Modern Approach

Artificial Intelligence: A Modern Approach, 3e presents probably the most complete, up-to-date introduction to the speculation and follow of synthetic intelligence. Number one in its subject, this textbook is right for one or two-semester, undergraduate or graduate-level programs in Artificial Intelligence.

Dr. Peter Norvig, contributing Artificial Intelligence writer and Professor Sebastian Thrun, a Pearson writer are providing a free on-line course at Stanford University on synthetic intelligence.
According to an article in The New York Times , the course on synthetic 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 opposite two programs, an introduction to database software program, is being taught by Pearson writer Dr. Jennifer Widom.
Artificial Intelligence: A Modern Approach, 3e is accessible to buy as an eText on your Kindle™, NOOK™, and the iPhone®/iPad®.

From the Back Cover

The long-anticipated revision of this #1 promoting e book presents probably the most complete, state-of-the-art introduction to the speculation and follow of synthetic intelligence for contemporary functions.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 pc professionals, linguists, and cognitive scientists focused on synthetic intelligence.

About the Author

Stuart Russell was born in 1962 in Portsmouth, England. He acquired his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in pc science from Stanford in 1986. He then joined the school of the University of California at Berkeley, the place he’s a professor of pc science, director of the Center for Intelligent Systems, and holder of the Smith–Zadeh Chair in Engineering. In 1990, he acquired 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 printed over 100 papers on a variety of subjects in synthetic intelligence. His different books embrace The Use of Knowledge in Analogy and Induction and (with Eric Wefald) Do the Right Thing: Studies in Limited Rationality.

Peter Norvig is presently Director of Research at Google, Inc., and was the director chargeable 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, the place he oversaw NASA’s analysis and improvement in synthetic intelligence and robotics, and chief scientist at Junglee, the place he helped develop one of many first Internet data extraction companies. He acquired a B.S. in utilized arithmetic from Brown University and a Ph.D. in pc science from the University of California at Berkeley. He acquired the Distinguished Alumni and Engineering Innovation awards from Berkeley and the Exceptional Achievement Medal from NASA. He has been a professor on the University of Southern California and a analysis school member at Berkeley. His different 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.