_.--.__.-'""'-.__.--.__.-'""'-.__.--.__.-'""'-.__.--.__.-'""'-._
-.-. .... .- .--. - . .-. - .-- . -. - -.-- --- -. .
________ ________ ________ ________ ________ ________ ________
/ \/ / \/ \/ \/ \/ \/ \
/ / / / / / /_ _/ / / / /
/ __/ / / __// // __/ __/
\_______/_\___/____/\___/____/\______/___\______/_\_______/ \___/___/
/ \/ / / \/ \/ / \/ \/ / \
/_ _/ / / / /_ _/ /
/ // / __/ // / \__ /
\______/_\________/\_______/_\__/_____/ \______/ \_____/
/ \/ / \/ \
/ / / / / /
/ / / __/ -- C H A P T E R T W E N T Y O N E --
\________/\__/_____/\_______/
"'--'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'"
Wiley-Scrivener
R Nidhya, A Dinesh Kumar ...
Neuro-Symbolic Artificial Intelligence: Concepts And Applications
N/A
2026
_.--.__.-'""'-.__.--.__.-'""'-.__.--.__.-'""'-.__.--.__.-'""'-._
Publisher > Wiley-Scrivener
Author > R Nidhya, A Dinesh Kumar ...
Title > Neuro-Symbolic Artificial Intelligence: Concepts And
Applications
Issue > N/A
Year > 2026
_.-"'-'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'"-._
ISBN > 9781394355570
Pages > 534
Genre > Artificial-Intelligence-Ai
Language > English
_.-"'-'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'"-._
Type > RETAIL
Media > TECH
Format > .epub
Section > eBook
_.-"'-'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'"-._
Published > 2026-07
Release > 2026-09-10
Disks > 03 x 5 MB
"'--'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'"
- - -- [ D E S C R I P T I O N ] -- - -
Master the next frontier of artificial intelligence with this essential
guide to uniting the pattern recognition of deep learning with the
transparent, logical reasoning of symbolic AI. The field of artificial
intelligence has witnessed rapid advancements in recent years, driven
primarily by deep learning and data-centric approaches. Despite their
impressive performance, purely neural methods often lack interpretability,
logical reasoning capabilities, and the ability to generalize beyond
training data. In contrast, symbolic AI, rooted in formal logic and
structured representations, offers transparency and reasoning strength, but
struggles with adaptability and learning from raw data. In response to
these challenges, neuro-symbolic AI has emerged as a compelling paradigm
that unifies the strengths of both approaches. This book is a comprehensive
exploration of one of the most transformative frontiers in artificial
intelligence. By combining the pattern recognition power of neural networks
with the logical reasoning capabilities of symbolic systems, neuro-symbolic
AI promises to deliver systems that are not only accurate but also
interpretable, adaptable, and aligned with human cognitive processes. This
book brings together a diverse range of research contributions that
showcase both foundational theory and practical applications across domains
like natural language processing, healthcare, intelligent transport,
cybersecurity, and ethical AI. Spanning topics such as hybrid
architectures, logic-enhanced deep learning, graph neural networks,
transfer learning, and explainable AI, the volume addresses the technical
and conceptual challenges of building trustworthy intelligent systems. Each
chapter provides technical depth, experimental insights, and future
directions, making this guide a vital resource for researchers, graduate
students, and professionals in AI and machine learning. Readers will find
the volume introduces the fundamental concepts of neuro-symbolic AI,
explores real-world applications in healthcare, natural language
processing, and ethical AI, and presents a forward-looking perspective on
the next generation of robust, transparent, and trustworthy AI
technologies. Audience Engineering research scholars and students, IT
professionals, network administrators, artificial intelligence and deep
learning experts, and government research agencies.
- - -- [ R E T A I L U R L ] -- - -
https://www.ebooks.com/en-us/book/347538289/neuro-symbolic-artificial-
intelligence/r-nidhya/
_.--.__.-'""'-.__.--.__.-'""'-.__.--.__.-'""'-.__.--.__.-'""'-._
- --- - - -- [ C H A P T E R T W E N T Y O N E ] -- - - --- -
"'--'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'""'--'""'-.__.-'"
-.-. .... .- .--. - . .-. - .-- . -. - -.-- --- -. .