Artificial Intelligence: A Modern Approach

The 4th Edition of Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig offers a comprehensive computer science textbook built around the unifying theme of intelligent agents. Written for undergraduate students, graduate students, and self-directed learners, the book frames artificial intelligence as the study and design of computational agents that receive percepts from an environment and perform actions.

The narrative progresses through basic search algorithms, constraint satisfaction problems, logic, first-order inference, automated planning, and knowledge representation. It then transitions into probabilistic reasoning, probabilistic programming, machine learning, reinforcement learning, computer vision, and robotics. Throughout these domains, the text highlights how recent deep learning methods have affected natural language understanding, speech recognition, and visual processing.

This edition incorporates explicit focus on artificial intelligence ethics, fairness, trust, and safety alongside core computational principles. Its structured presentation supports standard academic term courses as well as independent technical study across computer science curricula.