Shaping Intelligence: From Logic to Learning Systems  (Paperback, Mrs.Rashmi K A, Prof.Swathi N, Prof.Narendra N)

haping Intelligence: From Logic to Learning Systems – Summary (70 words) This topic explores the evolution of artificial intelligence from early rule-based logical reasoning to modern data-driven learning approaches. It explains how symbolic AI provided structured problem-solving, while machine learning introduced adaptability through experience. The transition highlights advancements in algorithms, representations, and computational power. By integrating logic, probability, and learning, today’s intelligent systems achieve greater autonomy, perception, and decision-making across diverse real-world applications.