Applications of Game Theory in Deep Leaing (SpringerBriefs in Computer Science)

by: Tanmoy Hazra (Author),Kushal Anjaria(Author),Aditi Bajpai(Author),Akshara Kumari(Author)&1more

Publisher: Springer

Edition: 2024th

Publication Date: 2024/3/20

Language: English

Print Length: 96 pages

ISBN-10: 3031546520

ISBN-13: 9783031546525

Book Description

This book aims to unravel the complex tapestry that interweaves strategic decision-making models with the forefront of deep leaing techniques. Applications of Game Theory in Deep Leaing provides an extensive and insightful exploration of game theory in deep leaing, diving deep into both the theoretical foundations and the real-world applications that showcase this intriguing intersection of fields. Starting with the essential foundations for comprehending both game theory and deep leaing, delving into the individual significance of each field, the book culminates in a nuanced examination of Game Theory’s pivotal role in augmenting and shaping the development of Deep Leaing algorithms. By elucidating the theoretical underpinnings and practical applications of this synergistic relationship, we equip the reader with a comprehensive understanding of their combined potential. In our digital age, where algorithms and autonomous agents are becoming more common, the combination of game theory and deep leaing has opened a new frontier of exploration. The combination of these two disciplines opens new and exciting avenues. We observe how artificial agents can think strategically, adapt to ever-shifting environments, and make decisions that are consistent with their goals and the dynamics of their surroundings. This book presents case studies, methodologies, and real-world applications.

About the Author

This book aims to unravel the complex tapestry that interweaves strategic decision-making models with the forefront of deep leaing techniques. Applications of Game Theory in Deep Leaing provides an extensive and insightful exploration of game theory in deep leaing, diving deep into both the theoretical foundations and the real-world applications that showcase this intriguing intersection of fields. Starting with the essential foundations for comprehending both game theory and deep leaing, delving into the individual significance of each field, the book culminates in a nuanced examination of Game Theory’s pivotal role in augmenting and shaping the development of Deep Leaing algorithms. By elucidating the theoretical underpinnings and practical applications of this synergistic relationship, we equip the reader with a comprehensive understanding of their combined potential. In our digital age, where algorithms and autonomous agents are becoming more common, the combination of game theory and deep leaing has opened a new frontier of exploration. The combination of these two disciplines opens new and exciting avenues. We observe how artificial agents can think strategically, adapt to ever-shifting environments, and make decisions that are consistent with their goals and the dynamics of their surroundings. This book presents case studies, methodologies, and real-world applications.