Applications of Game Theory in Deep Learning
Hazra, Tanmoy, Anjaria, Kushal, Bajpai, Aditi
- 出版商: Springer
- 出版日期: 2024-03-20
- 售價: $2,190
- 貴賓價: 9.5 折 $2,081
- 語言: 英文
- 頁數: 89
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031546520
- ISBN-13: 9783031546525
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相關分類:
DeepLearning
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相關主題
商品描述
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.
商品描述(中文翻譯)
本書旨在揭示將戰略決策模型與深度學習技術前沿相結合的複雜網絡。《應用博弈論於深度學習》深入探索了博弈論在深度學習中的應用，深入研究了這兩個領域的理論基礎和實際應用。從理解博弈論和深度學習的基本基礎開始，深入探討每個領域的個別重要性，本書最終對博弈論在增強和塑造深度學習算法發展中的關鍵作用進行了細緻的研究。通過闡明這種協同關係的理論基礎和實際應用，我們為讀者提供了全面了解其結合潛力的工具。在我們的數字時代，算法和自主代理越來越普遍，博弈論和深度學習的結合開啟了新的探索領域。這兩個學科的結合開啟了新的令人興奮的途徑。我們觀察到人工智能代理可以戰略性地思考，適應不斷變化的環境，並做出符合其目標和周圍動態的決策。本書提供了案例研究、方法論和實際應用。
作者簡介
Kushal Anjaria: He is an assistant professor in the IT and Systems area at the Institute of Rural Management, Anand (IRMA). He held a PhD in information systems and security from the Department of Computer Science and Engineering of the Defence Institute of Advanced Technology (DIAT-DRDO). He has around five years of academic experience and a year of industrial experience. He teaches subjects like management information systems (MIS) and enterprise resource planning. He has authored over 25 research papers, published them in refereed journals and book chapters, and presented them at several conferences. He has served as a consultant on several water-related projects for the government and non-governmental organizations, like "Conducting a Comparative Study concerning Policy, Programs, and Schemes for Water Management in Five Tribally Significant States of Madhya Pradesh, Gujarat, Maharashtra, Jharkhand, and Chhattisgarh." He developed three case studies pertaining to loan taking patterns of the artisans in the consultancy project related to SHGs of leather artisans by discussing with three different PSBs
Aditi Bajpai: Aditi Bajpai is a passionate and dedicated professional currently serving as a Full time Research Scholar at NIT Raipur, specializing in the captivating realm of Artificial Intelligence for processors. With a profound academic journey, she earned her Master of Technology in Computer Science & Engineering with a focus on Artificial Intelligence from the prestigious Indian Institute of Information Technology, Pune, graduated in 2023. Driven by a fervent interest in advancing technology, she is actively engaged in cutting-edge research, exploring the dynamic intersection of Artificial Intelligence and processors. As an active participant in cutting-edge research, she is passionate about exploring the limitless possibilities that AI holds for the future.
Akshara Kumari: She is in the final semester of MTech programme from the prestigious Indian Institute of Information Technology, Pune, specializing in the Internet of things. She is currently working in Philips as a Research & Development Electronic Intern in Healthcare Innovation Centre, Pune, India. Her area of interest is hospital patients monitors and working in a measurement team.
作者簡介(中文翻譯)
Tanmoy Hazra：Tanmoy Hazra目前擔任薩達爾·瓦爾布哈伊·納提納爾技術學院人工智能系的助理教授。他在國防高等技術學院（DIAT-DRDO）的計算機科學與工程系獲得了應用博弈論的博士學位。他擁有近六年的教學經驗。他在國際期刊、國際會議上發表了多篇研究論文，並出版了一本以研究為導向的書籍（由Lambert Academic Publishing出版）。他還在第三屆ICACCS會議（IEEE）上獲得了最佳論文獎。他還擔任多個知名期刊的審稿人，並擔任多個國際會議的技術節目委員會成員。他的研究領域包括博弈論應用、機器學習、深度學習等。
Kushal Anjaria：他是安納德鄉村管理學院（IRMA）IT和系統領域的助理教授。他在國防高等技術學院（DIAT-DRDO）的計算機科學與工程系獲得了信息系統和安全的博士學位。他擁有約五年的學術經驗和一年的工業經驗。他教授管理信息系統（MIS）和企業資源規劃等科目。他撰寫了超過25篇研究論文，發表在被引用的期刊和專書章節上，並在多個會議上發表。他曾擔任政府和非政府組織的幾個與水相關的項目的顧問，例如“在中央邦、古吉拉特邦、馬哈拉施特拉邦、賈坎德邦和恰蒂斯加爾邦進行有關水管理政策、計劃和方案的比較研究”。他通過與三家不同的公共部門銀行討論，開發了三個與皮革工匠自助組織相關的顧問項目中的藝術家貸款模式的案例研究。
Aditi Bajpai：Aditi Bajpai是一位熱情而敬業的專業人士，目前在NIT Raipur擔任全職研究學者，專攻處理器的人工智能領域。在深入的學術旅程中，她於2023年從印度信息技術學院普納分校獲得計算機科學與工程的碩士學位，專攻人工智能。出於對推進技術的激情，她積極參與尖端研究，探索人工智能和處理器的動態交叉領域。作為尖端研究的積極參與者，她對人工智能在未來所帶來的無限可能性充滿熱情。
Akshara Kumari：她是印度信息技術學院普納分校的MTech課程的最後一個學期，專攻物聯網。她目前在菲利浦公司擔任研發電子實習生，工作地點在印度普納的醫療創新中心。她的興趣領域是醫院病人監測，並在測量團隊中工作。
