Knowledge-Infused Learning (Hardcover) (ISBN-13: 9781009513746)

Knowledge-infused learning directly confronts the opacity of current 'black-box' AI models by combining data-driven machine learning techniques with the structured insights of symbolic AI. This guidebook introduces the pioneering techniques of neurosymbolic AI, which blends statistical models with symbolic knowledge to make AI safer and user-explainable. This is critical in high-stakes AI applications in healthcare, law, finance, and crisis management. The book brings readers up to speed on advancements in statistical AI, including transformer models such as BERT and GPT, and provides a comprehensive overview of weakly supervised, distantly supervised, and unsupervised learning methods alongside their knowledge-enhanced variants. Other topics include active learning, zero-shot learning, and model fusion. Beyond theory, the book presents practical considerations and applications of neurosymbolic AI in conversational systems, mental health, crisis management systems, and social and behavioral sciences, making it a pragmatic reference for AI system designers in academia and industry.

Author: Manas Gaur,Amit P. Sheth
ISBN-10: 1009513745
ISBN-13: 9781009513746
Publisher: Cambridge University Press
Language: English
Published: 05/07/2026
Pages: 324
Format: Hardcover
Weight: 1.33lbs
Size: 9.00h x 6.00w x 0.75d