📘 Summary

Shaping Intelligence: From Logic to Learning Systems explores the evolution of artificial intelligence from early rule-based logic models to advanced machine learning and neural networks. It examines how symbolic reasoning, expert systems, and computational logic laid the foundation for data-driven learning approaches. The work highlights key breakthroughs, algorithms, and architectures that enable machines to learn, adapt, and make decisions. It also discusses ethical considerations, real-world applications, and the future trajectory of intelligent systems.

Product Details

• Publisher: Pencil Bitz Publications
• Edition: 1st Edition
• Language: English
• Binding: paperback
• Pages:255
• Dimensions: 24 x 18 x 1.5 cm
• Weight: 320g