Stuart J. Russell and Peter Norvig
Artificial Intelligence: A Modern Approach offers a comprehensive introduction to a dynamic field fast gaining in popularity and significance. This edition tells the Al story from a current perspective, bringing readers up to date on the latest technologies.
Using the unifying theme of the intelligent agent, this book shifts the focus of Al education from hand-crafted knowledge engineering to machine learning, pivoting on Al systems that may be uncertain of the objectives of the humans they operate for. To meet the challenges introduced by the developments in Al over the past decade, this book introduces major concepts in their most up-to-date form intuitively before delving into algorithms and formulas, making the text accessible to a broader range of readers.
New to This Edition
• New chapters that feature expanded coverage of probabilistic programming, multiagent decision making, deep learning, and deep learning for natural language processing.
Expanded coverage of robotics, including discussions on robots that interact with humans and the application of reinforcement learning to robotics.
Increased coverage of the impact of Al on society-dealing with issues of ethics, fairness, trust, and safety.
• An entirely online set of chapter-assessment exercises that allows the authors to update and improve exercises to keep abreast of advances in the field and meet the needs of instructors.
