Artificial Intelligence

This book uses an intelligent agent as the unifying theme throughout — i.e., the problem of AI is to describe and build agents that receive percepts from the environment and perform actions, and each such agent is implemented by a function that maps percepts to actions.

  • covers different ways to represent these functions, such as production systems, reactive agents, logical planners and decision- theoretic systems
  • explains the role of learning as extending the reach of the designer into unknown environments, and shows how it constrains agent design, favoring explicit knowledge representation and reasoning
  • includes a thorough, up-to-date and integrated treatment of robotics and vision, written by John Canny and Jitendra Malik, two of the leading exponents in their respective fields
  • analyzes basic techniques for addressing complexity (use of approximation, compilation, anytime algorithms, hierarchical abstraction) as general sources of power
Covers areas that are sometimes under-emphasized— reasoning under uncertainty, learning, natural language, vision and robotics —and explains in detail some of the more recent ideas in the field —e.g., simulated annealing, memory-bounded search, global ontologies, dynamic belief networks, neural nets, inductive logic programming, computational learning theory, and reinforcement learning. Tackles AI's philosophical critics head-on. Gives equal emphasis to theory and practice—considers the basic concepts and mathematical methods of AI, what can and cannot be done with today's technology, at what cost, and using what techniques. Integrates state-of-the art AI techniques intointelligent agent designs, using examples and exercises to lead the student from simple, reactive agents to full knowledge-based agents with natural language capabilities. Includes over 75 algorithms, and a variety of simulated environments for testing agent designs.
  • presents algorithms at three levels of detail — prose descriptions and pseudo-code in the text, and complete Common Lisp programs available by anonymous ftp or on floppy disk
Includes numerous written and programming exercises in each chapter.

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 director of Search Quality at Google, Inc. He is a Fellow and Executive Council member of the American Association for Artificial Intelligence. 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. Before that he served as chief scientist at Junglee, where he helped develop one of the first Internet information extraction services, and as a senior scientist at Sun MicrosystemsLaboratories working on intelligent information retrieval. 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 has been a professor at the University of Southern California and a research faculty member at Berkeley. He has over 50 publications in computer science including the books Paradigms of AI Programming: Case Studies in Common Lisp, Verbmobil: A Translation System for Face-to-Face Dialog, and Intelligent Help Systems for UNIX.



Tags: Artificial Intelligence
Author:Stuart J Russell

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