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Neuro-Symbolic AI

Neuro-Symbolic AI

By : Alexiei Dingli, David Farrugia
3.7 (6)
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Neuro-Symbolic AI

Neuro-Symbolic AI

3.7 (6)
By: Alexiei Dingli, David Farrugia

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)
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What is XAI?

XAI is a recent field of study that deals with designing AI models that are easier to understand. The need for such a field arose from the fact that, in recent years, there has been a move toward statistical AI since the results obtained from such a system were incredible, not only on a par with humans in most instances but also reaching super-human levels in various applications. Unfortunately, since statistical approaches use probabilities, even though superior, the resulting model is rather hard to read. As such, it is difficult to interpret its correctness in all cases.

For example, if tasked with creating a loan application system, we might devise a set of rules similar to those displayed in Figure 4.1:

Figure 4.1: Rule-based loan application process

Figure 4.1: Rule-based loan application process

These rules are easy to understand, even for someone who is not computer literate. These are usually called rule-based systems, which fall under the symbolic AI paradigms. However...

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