Applications of Game Theory in Deep Learning - Bookswagon UAE
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Computer science > Artificial intelligence > Machine learning > Applications of Game Theory in Deep Learning: (SpringerBriefs in Computer Science)
Applications of Game Theory in Deep Learning: (SpringerBriefs in Computer Science)

Applications of Game Theory in Deep Learning: (SpringerBriefs in Computer Science)


     0     
5
4
3
2
1



International Edition


X
About the Book

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.

Table of Contents:
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.

About the Author :
Tanmoy Hazra: Tanmoy Hazra has currently serving as an Assistant Professor in the Department of Artificial Intelligence at Sardar Vallbhbhai Natinal Institute of Technology Surat.  He held a PhD in applications of game theory from the Department of Computer Science and Engineering of the Defence Institute of Advanced Technology (DIAT-DRDO). He has almost six years of teaching experience. He published several research articles in international journals, international conferences and one research oriented book with Lambert Academic Publishing. He also received the Best Paper Award in 3rd ICACCS conference (IEEE). He is also serving as reviewer for several reputed journals and is also TPC member of various international conferences. His research area includes applications of game theory, machine learning, deep learning etc. 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.


Best Sellers


Product Details
  • ISBN-13: 9783031546525
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 84
  • Returnable: Y
  • Width: 155 mm
  • ISBN-10: 3031546520
  • Publisher Date: 20 Mar 2024
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Series Title: SpringerBriefs in Computer Science


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Applications of Game Theory in Deep Learning: (SpringerBriefs in Computer Science)
Springer International Publishing AG -
Applications of Game Theory in Deep Learning: (SpringerBriefs in Computer Science)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Applications of Game Theory in Deep Learning: (SpringerBriefs in Computer Science)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!