Introduction - - - - - - - - - - - - - - - -
This book provides a comprehensive, in-depth look at the theory and practice of the field of Artificial Intelligence (AI), blending today's popular AI ideas and terminology into applications that have attracted widespread attention in a unified style that truly integrates theory and practice.
The book is divided into seven parts, with 28 chapters. The theoretical part introduces the main theories and methods of AI research and traces the relevant ideas from more than two thousand years ago, including logic, probability, and continuous mathematics; perception, reasoning, learning, and action; fairness, trust, social good, and safety; and the practical part perfectly practices the "modern" concepts. The practical part perfectly practices the "modern" concepts, with practical applications chosen from today's hot microelectronic devices, robotic planetary probes, online services with billions of users, AlphaZero, humanoid robots, autonomous driving, and AI-assisted healthcare, and so on.
This book is suitable as a textbook for undergraduate and graduate students of AI-related majors in colleges and universities, and can also be used as a reference book for professionals in related fields.
作者简介 · · · · · ·
Stuart Russell, joined the University of California, Berkeley in 1986 as a professor in the Department of Computer Science, where he served as chair of the department, director of the Center for Human-Compatible Artificial Intelligence, and as the Smith-Zadeh Chair of Engineering.In 1990, he received the National Science Foundation (NSF) Presidential Award for Outstanding Young Scientist; in 1995, was one of the recipients of the Computers and Ideas Award. Fellow of the American Association for Artificial Intelligence (AAAI), the American Computer Society (ACM), and the American Association for the Advancement of Science; Honorary Fellow of Wadham College, University of Oxford, and Fellow of Andrew Carnegie. served as President of Blaise Pascal in Paris from 2012 to 2014. He has published more than 300 papers in the field of Artificial Intelligence, covering a wide range of topics.
Peter Norvig, formerly director of research and head of core web search algorithms at Google Inc. Has co-teached an online artificial intelligence course with 160,000 student enrollments, helping to kick off the current wave of massive open online courses. Served as head of the Computational Science Division at NASA Ames Research Center, where he was responsible for research and development in artificial intelligence and robotics. Has been a professor at the University of Southern California and a faculty member at the University of California, Berkeley, and Stanford University. Fellow of the American Association for Artificial Intelligence and the American Computer Society, and a member of the American Academy of Arts and Sciences and the California Academy of Sciences.
Both authors jointly received the inaugural 2016 AAAI/EAAI Distinguished Educator Award.

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