Before AI Had a Name: From Rule-Based Systems to Modern Artificial Intelligence takes students, educators, parents, and lifelong learners on a fascinating journey through the history of artificial intelligence before today's AI systems existed. Long before chatbots, image generators, and Large Language Models, scientists and engineers were developing expert systems, symbolic reasoning, search algorithms, and rule-based programs that laid the foundation for modern AI.
Written in an engaging textbook style, this book explains how early artificial intelligence evolved from simple logical rules into machine learning, neural networks, deep learning, and today's generative AI technologies. Readers discover the breakthroughs, challenges, and pioneering ideas that transformed AI from an academic research field into one of the most influential technologies in the world.
Designed for classrooms, school districts, libraries, homeschool programs, and independent learners, each chapter includes educational summaries, reflection activities, worksheets, quizzes, and answer keys that reinforce learning while encouraging critical thinking and responsible AI literacy.
Whether you are a student preparing for future careers, an educator introducing artificial intelligence, or simply curious about how AI began, this book provides an accessible historical foundation that helps readers understand where artificial intelligence came from-and where it may be heading next.
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