Artificial intelligence
by Stuart J. Russell
Russell's definitive AI textbook: from intelligent agents to deep learning and beyond.
"A system is rational if it does the right thing, given what it knows.".
Editorial Summary
Artificial Intelligence: A Modern Approach by Stuart J. Russell, a UC Berkeley computer scientist, stands as the most comprehensive and authoritative textbook on artificial intelligence, covering everything from foundational concepts of intelligent agents and search algorithms to modern machine learning, natural language processing, and robotics. Russell's treatment encompasses classical AI paradigms alongside contemporary approaches including deep neural networks, reinforcement learning, and probabilistic reasoning, providing both theoretical grounding and practical implementation details. The book distinguishes itself through its systematic exploration of how AI systems perceive, reason, learn, and act in complex environments, while addressing the critical challenge of building AI systems that remain aligned with human values and goals. Throughout the text, Russell integrates real-world applications and case studies that illustrate how these principles manifest in deployed systems, from game-playing algorithms to autonomous vehicles. This work remains essential as the field grapples with the rise of large language models like GPT-4 and the urgent questions surrounding AI safety and the alignment problem.
Perspective
"If you're trying to understand AI fundamentally—beyond ChatGPT hype—this is the textbook that shaped the researchers building today's most advanced systems. Read this now because the alignment problem and AI safety discussions dominating policy (EU AI Act, OpenAI governance) require the rigorous foundations Russell provides."
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