Neuro-Symbolic Artificial Intelligence: Bridging Logic and Learning (Studies in Computational Intelligence, 1176)

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(as of Dec 29,2024 00:22:22 UTC – Details)

Neuro-Symbolic Artificial Intelligence: Bridging Logic and Learning (Studies in Computational Intelligence, 1176)

In the ever-evolving field of artificial intelligence, researchers are constantly exploring new ways to combine different approaches to create more powerful and versatile AI systems. One such approach that has gained significant attention in recent years is neuro-symbolic artificial intelligence, which seeks to bridge the gap between symbolic reasoning and machine learning.

The book “Neuro-Symbolic Artificial Intelligence: Bridging Logic and Learning” delves into this fascinating intersection of logic and learning, offering insights into how these two seemingly disparate paradigms can be integrated to create more robust and intelligent AI systems. Edited by leading experts in the field, this volume brings together cutting-edge research from top scholars and practitioners, providing a comprehensive overview of the latest developments in neuro-symbolic AI.

From combining neural networks with symbolic logic to leveraging knowledge graphs for enhanced reasoning capabilities, the book covers a wide range of topics that are essential for understanding the potential of neuro-symbolic AI. Whether you are a researcher, student, or practitioner in the field of artificial intelligence, this book is a must-read for anyone interested in exploring the future of intelligent systems.

With its in-depth analysis and practical insights, “Neuro-Symbolic Artificial Intelligence: Bridging Logic and Learning” is a valuable resource for anyone looking to stay ahead of the curve in this rapidly evolving field. Don’t miss out on this groundbreaking exploration of the intersection of logic and learning in AI – order your copy today!
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