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Neuro-Symbolic AI
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Neuro-Symbolic AI
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Overview of this book
Neuro-symbolic AI offers the potential to create intelligent systems that possess both the reasoning capabilities of symbolic AI along with the learning capabilities of neural networks. This book provides an overview of AI and its inner mechanics, covering both symbolic and neural network approaches.
You’ll begin by exploring the decline of symbolic AI and the recent neural network revolution, as well as their limitations. The book then delves into the importance of building trustworthy and transparent AI solutions using explainable AI techniques. As you advance, you’ll explore the emerging field of neuro-symbolic AI, which combines symbolic AI and modern neural networks to improve performance and transparency. You’ll also learn how to get started with neuro-symbolic AI using Python with the help of practical examples. In addition, the book covers the most promising technologies in the field, providing insights into the future of AI.
Upon completing this book, you will acquire a profound comprehension of neuro-symbolic AI and its practical implications. Additionally, you will cultivate the essential abilities to conceptualize, design, and execute neuro-symbolic AI solutions.
Table of Contents (12 chapters)
Preface
Chapter 1: The Evolution and Pitfalls of AI
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Chapter 2: The Rise and Fall of Symbolic AI
Chapter 3: The Neural Networks Revolution
Chapter 4: The Need for Explainable AI
Chapter 5: Introducing Neuro-Symbolic AI – the Next Level of AI
Chapter 6: A Marriage of Neurons and Symbols – Opportunities and Obstacles
Chapter 7: Applications of Neuro-Symbolic AI
Chapter 8: Neuro-Symbolic Programming in Python
Chapter 9: The Future of AI
Index
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