03839nam a22005655i 4500 978-3-031-54653-2 DE-He213 20251030111729.0 cr nn 008mamaa 240319s2024 sz | s |||| 0|eng d 9783031546532 978-3-031-54653-2 10.1007/978-3-031-54653-2 doi Q325.5-.7 UYQM bicssc MAT029000 bisacsh UYQM thema Hazra, Tanmoy. author. aut http://id.loc.gov/vocabulary/relators/aut 73381 Applications of Game Theory in Deep Learning [electronic resource] / by Tanmoy Hazra, Kushal Anjaria, Aditi Bajpai, Akshara Kumari. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XII, 84 p. 8 illus., 4 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda SpringerBriefs in Computer Science, 2191-5776 1. Introduction -- 2. Cooperative Game Theory -- 3. Noncooperative Game Theory -- 4. Applications of Game Theory in Deep Neural Networks -- 5. Case Studies and Different Applications -- 6. Conclusion and Future Research Directions. This book aims to unravel the complex tapestry that interweaves strategic decision-making models with the forefront of deep learning techniques. Applications of Game Theory in Deep Learning provides an extensive and insightful exploration of game theory in deep learning, 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 learning, 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 Learning 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 learning 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. Machine learning. 55059 Game theory. Artificial intelligence. 58441 Machine Learning. 55059 Game Theory. Artificial Intelligence. 58441 Anjaria, Kushal. author. aut http://id.loc.gov/vocabulary/relators/aut 73382 Bajpai, Aditi. author. aut http://id.loc.gov/vocabulary/relators/aut 73383 Kumari, Akshara. author. aut http://id.loc.gov/vocabulary/relators/aut 73384 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031546525 Printed edition: 9783031546549 SpringerBriefs in Computer Science, 2191-5776 66578 https://doi.org/10.1007/978-3-031-54653-2 ZDB-2-SCS ZDB-2-SXCS 58456 58456