History of Artificial Intelligence

From the Mathematics of Ancient Civilizations to Thinking Machines
1. Auflage 2025
ISBN: 978-1-041-01199-6
Verlag: CRC Press

Buch, Englisch, 376 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 449 g

This book provides an overview of AI’s historical development, while understanding the cultural and scientific foundations that make today’s AI possible. Through easy-to-understand explanations of complex ideas, and a focus on both technological advances and ethical considerations, it provides an understanding of AI’s past, present, and future.

History of Artificial Intelligence: From the Mathematics of Ancient Civilizations to Thinking Machines takes readers on a fascinating journey through the history of AI, showing how its origins can be traced back to ancient civilizations and their early advancements in mathematics, logic, and computation. It reveals the unexpected links between ancient calculation methods and the technologies that define modern life. By following AI's development—from the mathematical innovations of Mesopotamia, Egypt, and Persia, to the revolutionary ideas of the European Renaissance and Enlightenment, readers will discover how human ingenuity over the centuries paved the way for the creation of intelligent machines. Each chapter takes readers step by step through major milestones, from the first mechanical calculators to the rise of modern computers and the development of ML. By exploring these key events and the contributions of diverse civilizations, the book offers fresh insights into AI’s global history and its complex relationship with human thought. In the final chapters, the book also addresses the ethical and societal challenges AI presents today, giving readers a well-rounded understanding of how AI is shaping our future, and what that means for all of us.

This book is written for a broad audience, including both general readers and academic audiences who are interested in the history, development, and ethical implications of AI. It is particularly suited for students, researchers, and professionals in fields such as computer science, AI, mathematics, history of technology, and digital ethics.

Zielgruppe

Academic, Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Tcharkhtchi, Abbas

Vanaei, Hamid Reza

Khelladi, Sofiane

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Chapter 1- Introduction: Parallel Evolution of Civilizations and Intelligence

Chapter 2- Artificial Intelligence at its Origin

Chapter 3- The Age of Enlightenment and Development of Thinking Machines

Chapter 4- From Calculator to Computer

Chapter 5- The Main Models of AI

Chapter 6- Advanced Applications of AI & Ethical Challenges

Chapter 7- The Final Words

Über Autor(innen)

Abbas Tcharkhtchi is a Full Professor at Arts et Métiers ParisTech (ENSAM), Paris, Fance. He was previously the head of the Polymers and Composites Group, the Head of the Processing, Mechanics, and Materials Department, and member of the institution's research council. He was also the scientific manager of doctoral training at the Paris campus, where he was responsible for overseeing 70 PhD students. Currently, he is the president of the scientific and technical commission of the AFR association.

Hamid Reza Vanaei is an Associate Professor at the Ecole Supérieure d'Ingénieurs Léonard de Vinci (ESILV), Léonard de Vinci University in Paris, France. He obtained his M.Sc. and Ph.D. in Mechanics of Materials from the Arts et Métiers Institute of Technology in Paris and works as an associate researcher at the same institute. With six years of experience in Material Science, Mechanical Engineering, and Advanced Manufacturing, his primary research focuses on a multidisciplinary approach to optimizing Advanced Manufacturing techniques.

Sofiane Khelladi is a Full Professor at Arts et Métiers Institute of Technology in Paris, France. His research focuses on modeling and analyzing fluid flows for the design of complex fluid and energy systems. His preferred scientific approach is predominantly theoretical and numerical, often complemented by an experimental component for validation purposes. His research activities center around three main themes with strong interactions: advanced numerical methods for fluid and energy systems, multiphase flows and multiphysics coupling, and aero-hydrodynamics and acoustics of turbomachines.