Neuro-Symbolic Artificial Intelligence Bridging Logic and Learning

This book highlights and attempts to fill a crucial gap in the existing literature by providing a comprehensive exploration of the emerging field of neuro-symbolic AI. It introduces the concept of neuro-symbolic AI, highlighting its fusion of symbolic reasoning and machine learning. The book covers...

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Bibliographic Details
Main Authors: Bhuyan, Bikram Pratim, Ramdane-Cherif, Amar (Author), Singh, Thipendra P. (Author), Tomar, Ravi (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2025, 2025
Edition:1st ed. 2025
Series:Studies in Computational Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary:This book highlights and attempts to fill a crucial gap in the existing literature by providing a comprehensive exploration of the emerging field of neuro-symbolic AI. It introduces the concept of neuro-symbolic AI, highlighting its fusion of symbolic reasoning and machine learning. The book covers symbolic AI and knowledge representation, neural networks and deep learning, neuro-symbolic integration approaches, reasoning and inference techniques, applications in healthcare and robotics, as well as challenges and future directions. By combining the power of symbolic logic and knowledge representation with the flexibility of neural networks, neuro-symbolic AI offers the potential for more interpretable and trustworthy AI systems. This book is a valuable resource for researchers, practitioners, and students interested in understanding and applying neuro-symbolic AI.
Physical Description:XIII, 358 p. 22 illus., 7 illus. in color online resource
ISBN:9789819781713