LEADER 03844nam 22007215 450 001 9910845096603321 005 20251103140326.0 010 $a9783031546532 010 $a3031546539 024 7 $a10.1007/978-3-031-54653-2 035 $a(MiAaPQ)EBC31221944 035 $a(Au-PeEL)EBL31221944 035 $a(DE-He213)978-3-031-54653-2 035 $a(CKB)30995666300041 035 $a(OCoLC)1427663883 035 $a(EXLCZ)9930995666300041 100 $a20240319d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplications of Game Theory in Deep Learning /$fby Tanmoy Hazra, Kushal Anjaria, Aditi Bajpai, Akshara Kumari 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (93 pages) 225 1 $aSpringerBriefs in Computer Science,$x2191-5776 311 08$a9783031546525 311 08$a3031546520 327 $a1. 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. 330 $aThis book aims to unravel the complex tapestry that interweaves strategic decision-making models with the forefront of deep learning techniques. Applications of Game Theory in Deep Learning provides an extensive and insightful exploration of game theory in deep learning, diving deep into both the theoretical foundations and the real-world applications that showcase this intriguing intersection of fields. Starting with the essential foundations for comprehending both game theory and deep learning, delving into the individual significance of each field, the book culminates in a nuanced examination of Game Theory's pivotal role in augmenting and shaping the development of Deep Learning algorithms. By elucidating the theoretical underpinnings and practical applications of this synergistic relationship, we equip the reader with a comprehensive understanding of their combined potential. In our digital age, where algorithms and autonomous agents are becoming more common, the combination of game theory and deep learning has opened a new frontier of exploration. The combination of these two disciplines opens new and exciting avenues. We observe how artificial agents can think strategically, adapt to ever-shifting environments, and make decisions that are consistent with their goals and the dynamics of their surroundings. This book presents case studies, methodologies, and real-world applications. 410 0$aSpringerBriefs in Computer Science,$x2191-5776 606 $aMachine learning 606 $aGame theory 606 $aArtificial intelligence 606 $aMachine Learning 606 $aGame Theory 606 $aArtificial Intelligence 606 $aAprenentatge automàtic$2thub 606 $aTeoria de jocs$2thub 606 $aIntel·ligència artificial$2thub 608 $aLlibres electrònics$2thub 615 0$aMachine learning. 615 0$aGame theory. 615 0$aArtificial intelligence. 615 14$aMachine Learning. 615 24$aGame Theory. 615 24$aArtificial Intelligence. 615 7$aAprenentatge automàtic 615 7$aTeoria de jocs 615 7$aIntel·ligència artificial 676 $a006.31 700 $aHazra$b Tanmoy$01733534 701 $aAnjaria$b Kushal$01733535 701 $aBajpai$b Aditi$01733536 701 $aKumari$b Akshara$01733537 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910845096603321 996 $aApplications of Game Theory in Deep Learning$94149365 997 $aUNINA