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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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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 evolution of AI

In the previous section, we have seen that the term AI was coined back in 1956. But really and truly, as can be seen in Figure 1.1, AI is built on other areas whose development dates much earlier, almost to the dawn of mankind. We first meet records of automations in Homer’s Iliad, where automatic door openings were described. In Ancient Egypt, statues of deities could move their heads to send signals to the people, while in Greek mythology, we find records of Hephaestus’s automata, Talos the man of bronze, and the silver watchdogs of King Alkinous of the Phaiakians. Mankind has been dreaming of AI since the very beginning!

We have to keep in mind that AI is a multidisciplinary field of study made up of different bits and pieces brought forth from the intersection of different topics (see the following diagram):

Figure 1.1 – Origins of AI

Figure 1.1 – Origins of AI

The following are the most important areas that contribute to AI:

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