Artificial Intelligence: A Modern Approach, Global Edition 4th Edition by Peter

Description: Artificial Intelligence: A Modern Approach, Global Edition by Peter Norvig, Stuart Russell Engage your students with the ever-expanding, fascinating field of AI with this industry-leading text. Artificial Intelligence: A Modern Approach, 4th Edition allows your students to delve into the current technologies and ethical aspects of the discipline. The latest version is updated with fresh content and a new site containing all the exercises. FORMAT Paperback CONDITION Brand New Publisher Description A comprehensive and accessible introduction to the theory and practice of AIThe long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up-to-date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multi agent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI. Author Biography 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, Berkeley, where he is a Professor and former Chair of Computer Science, Director of the Centre for Human-Compatible AI, 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 co-winner of the Computers and Thought Award. He is a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science, and Honorary Fellow of Wadham College, Oxford, and an Andrew Carnegie Fellow. He held the Chaire Blaise Pascal in Paris from 2012 to 2014. He has published over 300 papers on a wide range of topics in artificial intelligence. His other books include: The Use of Knowledge in Analogy and Induction, Do the Right Thing: Studies in Limited Rationality (with Eric Wefald), and Human Compatible: Artificial Intelligence and the Problem of Control. 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 NASAs 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 are research faculty member at Berkeley. His other books are: Paradigms of AI Programming: Case Studies in Common Lisp, Verbmobil: A Translation System for Face-to-Face Dialog, and Intelligent Help Systems for UNIX. The two authors shared the inaugural AAAI/EAAI Outstanding Educator award in 2016. Table of Contents Chapter 1: Introduction Chapter 2: Intelligent Agents Chapter 3: Solving Problems by Searching Chapter 4: Search in Complex Environments Chapter 5: Constraint Satisfaction Problems Chapter 6: Adversarial Search and Games Chapter 7: Logical Agents Chapter 8: First-Order Logic Chapter 9: Inference in First-Order Logic Chapter 10: Knowledge Representation Chapter 11: Automated Planning Chapter 12: Quantifying Uncertainty Chapter 13: Probabilistic Reasoning Chapter 14: Probabilistic Reasoning over Time Chapter 15: Making Simple Decisions Chapter 16: Making Complex Decisions Chapter 17: Multiagent Decision Making Chapter 18: Probabilistic Programming Chapter 19: Learning from Examples Chapter 20: Knowledge in Learning Chapter 21: Learning Probabilistic Models Chapter 22: Deep Learning Chapter 23: Reinforcement Learning Chapter 24: Natural Language Processing Chapter 25: Deep Learning for Natural Language Processing Chapter 26: Robotics Chapter 27: Computer Vision Chapter 28: Philosophy, Ethics, and Safety of AI Chapter 29: The Future of AI Feature Offer the mostcomprehensive, up-to-date introduction to the theory and practice of artificialintelligence New Feature New and updated features of this title Updated and new content reflects recent technological advancements and applications in the field. New chapters feature expanded coverage of probabilistic programming (Ch. 18); multi-agent decision making (Ch. 17 with Michael Wooldridge); deep learning (Ch.22 with Ian Goodfellow); and deep learning for natural language processing (Ch. 25 with Jacob Devlin and Mei-Wing Chang). Significantly updated material on robotics includes robots that interact with humans and the application of reinforcement learning to robotics. Revised coverage of computer vision, natural language understanding, and speech recognition reflects the impact of deep learning methods on these fields. The Author-Maintained Website at / includes text-related comments and discussions, exercises, an online code repository, Instructor Resources, and more. New sections include content on current technologies, as well as the ethical aspects and values of the discipline. New sections include content on topics, such as causality by Judea Pearl, and the Monte Carlo search for games and robotics. New sections discuss transfer learning for deep learning in general and for natural language. New sections include content on privacy, fairness, future of work, and safe AI. Details ISBN1292401133 Author Stuart Russell Publisher Pearson Education Limited Year 2021 ISBN-10 1292401133 ISBN-13 9781292401133 Edition 4th Format Paperback Imprint Pearson Education Limited Place of Publication Harlow Country of Publication United Kingdom Pages 1168 AU Release Date 2021-05-20 NZ Release Date 2021-05-20 Publication Date 2021-05-20 UK Release Date 2021-05-20 Textbook 1 Edition Description 4th edition Replaces 9781292153964 DEWEY 006.3 Audience Tertiary & Higher Education We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:135506195;

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