Artificial Intelligence: A Modern Approach, Global Edition, 4th edition

Artificial intelligence is transforming how problems are solved across science, technology, business, and everyday life. Artificial Intelligence: A Modern Approach provides a comprehensive introduction to the theory and practice of AI, helping learners build a strong foundation while engaging with advanced topics shaping the field today. Concepts are introduced in an accessible way before progressing to mathematical and algorithmic detail, making it easier to understand how AI systems reason, learn, make decisions, and interact with the world. The content presents a unified view of AI, showing how key areas connect across modern applications and emerging developments.

Learners develop the knowledge and skills needed to understand, evaluate, and apply core AI concepts across a wide range of domains. Through topics including search, reasoning, machine learning, deep learning, natural language processing, robotics, and decision making, learners gain insight into how intelligent systems are designed and improved. Expanded coverage of causality, transfer learning, probabilistic programming, privacy, fairness, and safe AI helps learners engage with both technical and societal challenges. The broad scope supports deeper understanding while enabling learners to connect foundational principles with current AI technologies and future developments.