Book Image

Neuro-Symbolic AI

By : Alexiei Dingli, David Farrugia
Book Image

Neuro-Symbolic AI

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)

Preface

Neuro-symbolic artificial intelligence (AI) has become an increasingly critical area of study as it seeks to bridge the gap between human-like understanding and machine learning (ML) capabilities. Traditional AI has often struggled to grasp the nuances and complexities of human cognition, which is where neuro-symbolic AI comes into play. By combining the strengths of both neural networks and symbolic reasoning, this groundbreaking approach aims to design systems that understand the world as we do.

The main areas of focus in this book are as follows:

  • The history and limitations of traditional AI
  • The origins and evolution of symbolic AI and neural networks
  • The principles and foundation of neuro-symbolic AI
  • Practical applications and programming techniques for neuro-symbolic AI
  • The need for explainable systems and the future of AI

In this book, we will take you on a journey through the evolution of AI. We will delve into the rise and fall of symbolic AI, followed by the neural networks revolution. Our exploration will then lead us to the exciting intersection of these two domains as we introduce neuro-symbolic AI as the next level of AI. Through the book, we aim to offer you a comprehensive understanding of the opportunities and challenges in the field of neuro-symbolic AI, as well as a practical guide to implementing some of these concepts in Python. We will also discuss the importance of explainable AI and the exciting future developments that await us. Rather than focusing solely on theoretical concepts, our book presents a balanced blend of theory, practical applications, and real-world examples. By using accessible language and detailed illustrations, we hope to make the topic engaging and approachable for both beginners and experienced AI enthusiasts alike.

Embark on this fascinating journey with us, and uncover the potential of neuro-symbolic AI to revolutionize the way we interact with intelligent systems. Let’s explore how we can design systems that truly understand the world as we do and reshape the future of AI together.