Reciprocity, Evolution, and Decision Games in Network and Data Science, 9781108494748
Hardcover
Evolve network behavior: reciprocity, games, and data drive optimization.

Reciprocity, Evolution, and Decision Games in Network and Data Science

$328.42

  • Hardcover

    472 pages

  • Release Date

    22 July 2021

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Summary

Unlocking Network Dynamics: Reciprocity, Evolution, and Decision Games

Learn how to analyse and manage evolutionary and sequential user behaviours 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 behaviour, and simulations and experiments with …

Book Details

ISBN-13:9781108494748
ISBN-10:1108494749
Author:Yan Chen, Chunxiao Jiang, K.J. Ray Liu, Chih-Yu Wang
Publisher:Cambridge University Press
Imprint:Cambridge University Press
Format:Hardcover
Number of Pages:472
Release Date:22 July 2021
Weight:1.05kg
Dimensions:250mm x 175mm x 26mm
What They're Saying

Critics Review

‘This advanced text is a great start for more in-depth explorations into complex system-modeling areas. Recommended.’ J. Brzezinski, Choice Connect

‘This advanced text is a great start for more in-depth explorations into complex system-modeling areas. Recommended.’ J. Brzezinski, Choice Connect

About The Author

Yan Chen

Yan Chen is a Professor at School of Cyberspace Security, University of Science and Technology of China.

Chih-Yu Wang is an Associate Research Fellow at the Research Center for Information Technology Innovation, Academia Sinica.

Chunxiao Jiang is an associate professor in the School of Information Science and Technology at Tsinghua University.

K.J. Ray Liu is Distinguished University Professor at the University of Maryland, College Park. A Highly Cited Researcher, he is a Fellow of the IEEE and the American Association for the Advancement of Science (AAAS), and National Academy of Inventors. He is the 2021 IEEE President Elect. He is a recipient of the IEEE Fourier Award for Signal Processing and the IEEE Leon K. Kirchmayer Graduate Teaching Award, the IEEE Signal Processing Society 2014 Society Award, and the IEEE Signal Processing Society 2009 Technical Achievement Award. He has also co-authored several books, including Wireless AI (Cambridge, 2019).

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