Artificial Intelligence: A Modern Approach, Global Edition

The fourth edition of *Artificial Intelligence: A Modern Approach* offers a comprehensive update to the definitive text in the field. This long-awaited revision explores the full breadth and depth of artificial intelligence (AI), bringing readers current with the latest technological advancements. The authors present complex concepts in a more unified manner, ensuring a cohesive understanding of the discipline's evolution and current state. This edition serves as an essential resource for understanding both foundational theories and cutting-edge applications. Significant updates include expanded coverage of critical areas such as machine learning, deep learning, and transfer learning. The text also delves into multi-agent systems, robotics, and natural language processing, reflecting the rapid growth in these sectors. Furthermore, the book addresses emerging and increasingly important topics like causality, probabilistic programming, and the ethical dimensions of technology, including privacy, fairness, and safe AI practices. By integrating these diverse subjects, the book provides a holistic view of the modern AI landscape. It is designed to equip students and professionals with the knowledge necessary to navigate the complexities of intelligent systems. From theoretical underpinnings to practical implementations in robotics and language processing, this edition remains a standard-bearing reference for the study of artificial intelligence.