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The most comprehensive single-author guide to artificial intelligence, written to be understood by beginners and valued by experts. Volume 1 lays the foundation. It traces the birth of computing from Babbage and Lovelace through Turing and the 1956 Dartmouth workshop, then walks through the classical era of AI: symbolic reasoning and expert systems, the rise and retreat of early neural networks, the machine-learning revolution, and the deep-learning breakthroughs that set the stage for everything modern. Every chapter uses a three-tier approach, with plain-language explanations for newcomers, worked depth for practitioners, and rigor for advanced readers, plus learning objectives, key terms, real-world applications, and self-check quizzes. Whether you are starting from zero or filling gaps in your understanding, this volume gives you not just what AI does, but how it came to be and why it works. The first book in a four-volume journey from the origins of AI to the frontier systems of 2026.
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