TY - BOOK AU - Russell, Stuart J. AU - Norvig, Peter TI - Artificial Intelligence : A modern approach SN - 9789332543515 AV - Q335 PY - 2015///] CY - Delhi PB - Pearson India Education Services Ltd. KW - General Science N1 - Part I: Artificial Intelligence Chapter 1 Introduction Chapter 2 Intelligent Agents Part II: Problem-solving Chapter 3 Solving Problems by Searching Chapter 4 Search in Complex Environments Chapter 5 Adversarial Search and Games Chapter 6 Constraint Satisfaction Problems Part III: Knowledge, reasoning, and planning Chapter 7 Logical Agents Chapter 8 First-Order Logic Chapter 9 Inference in First-Order Logic Chapter 10 Knowledge Representation Chapter 11 Automated Planning Part IV: Uncertain knowledge and reasoning Chapter 12 Quantifying Uncertainty Chapter 13 Probabilistic Reasoning Chapter 14 Probabilistic Reasoning over Time Chapter 15 Probabilistic Programming Chapter 16 Making Simple Decisions Chapter 17 Making Complex Decisions Chapter 18 Multiagent Decision Making Part V: Machine Learning Chapter 19 Learning from Examples Chapter 20 Learning Probabilistic Models Chapter 21 Deep Learning Chapter 22 Reinforcement Learning Part VI: Communicating, perceiving, and acting Chapter 23 Natural Language Processing Chapter 24 Deep Learning for Natural Language Processing Chapter 25 Computer Vision Chapter 26 Robotics Part VII: Conclusions Chapter 27 Philosophy, Ethics, and Safety of AI Chapter 28 The Future of AI N2 - “Artificial Intelligence: A Modern Approach” by Peter Norvig and Stuart Russell is an extensive and highly regarded textbook that serves as a comprehensive guide to the field of artificial intelligence (AI). The book covers a wide range of topics, from fundamental concepts to advanced techniques, and explores the practical applications and ethical implications of AI. With its balanced blend of theory and practical examples, it has become a seminal resource for students, researchers, and practitioners in the field. This expanded summary will provide a more detailed overview of the book, including key takeaways ER -