Reciprocity, evolution, and decision games in network and data science / Yan Chen, Chih-Yu Wang, Chunxiao Jiang, K.J. Ray Liu.
"Learn how to analyze and manage evolutionary and sequential user behaviors in modern networks, and how to optimize network performance by using indirect reciprocity, evolutionary games, and sequential decision-making. Understand the latest theory without the need to go through the details of t...
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| Online Access: |
Full Text (via Cambridge) |
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| Main Authors: | , , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge, United Kingdom ; New York, NY, USA :
Cambridge University Press,
[2021]
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| Subjects: |
| Summary: | "Learn how to analyze and manage evolutionary and sequential user behaviors in modern networks, and how to optimize network performance by using indirect reciprocity, evolutionary games, and sequential decision-making. Understand the latest theory without the need to go through the details of traditional game theory. With practical management tools to regulate user behavior and simulations and experiments with real data sets, this is an ideal tool for graduate students and researchers working in networking, communications, and signal processing"-- |
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| Physical Description: | 1 online resource (xv, 457 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781108859783 110885978X |
| DOI: | 10.1017/9781108859783 |
| Source of Description, Etc. Note: | Description based on online resource; title from digital title page (viewed on October 12, 2021). |