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Neuro-Symbolic AI

You're reading from   Neuro-Symbolic AI Design transparent and trustworthy systems that understand the world as you do

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781804617625
Length 196 pages
Edition 1st Edition
Concepts
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Authors (2):
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Alexiei Dingli Alexiei Dingli
Author Profile Icon Alexiei Dingli
Alexiei Dingli
David Farrugia David Farrugia
Author Profile Icon David Farrugia
David Farrugia
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: The Evolution and Pitfalls of AI 2. Chapter 2: The Rise and Fall of Symbolic AI FREE CHAPTER 3. Chapter 3: The Neural Networks Revolution 4. Chapter 4: The Need for Explainable AI 5. Chapter 5: Introducing Neuro-Symbolic AI – the Next Level of AI 6. Chapter 6: A Marriage of Neurons and Symbols – Opportunities and Obstacles 7. Chapter 7: Applications of Neuro-Symbolic AI 8. Chapter 8: Neuro-Symbolic Programming in Python 9. Chapter 9: The Future of AI 10. Index 11. Other Books You May Enjoy

The idea behind NSAI

Bridging the intelligence gap between man and machine is our destination—the holy grail. The challenge of solving the physical brain’s complexity has intrigued researchers for years. Over the years, we raised and answered numerous questions; nonetheless, one question still prevails. Scientists know that we cannot understand the brain’s function to its entirety, especially its ability to develop common-sense knowledge—which essentially boils down to multiple complex associations that the brain can extract.

Defining common-sense knowledge

Common-sense knowledge is any knowledge that becomes almost second nature or apparent to us. For example, if we see a chair, we can practically assume we can sit on it. If we see a bed, we know that we can lie on it without falling through the mattress. The director of the MIT-IBM Watson AI Lab, David Cox, defines common-sense knowledge as “all of the implicit knowledge that we have that...

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