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Author:
Chen, Yan (Authority on networks), author.
Title:
Reciprocity, evolution, and decision games in network and data science / Yan Chen, University of Science and Technology of China, Chih-Yu Wang, Academia Sinica, Chunxiao Jiang, Tsinghua University, K.J. Ray Liu, University of Maryland, College Park.
Publisher:
Cambridge University Press,
Copyright Date:
2021
Description:
xv, 457 pages : illustrations ; 26 cm
Subject:
Game theory.
System analysis.
Other Authors:
Wang, Chih-Yu, 1984- author.
Jiang, Chunxiao, 1987- author.
Liu, K. J. Ray, 1961- author.
Notes:
Includes bibliographical references and index.
Contents:
Basic game theory -- Part I. Indirect reciprocity. Indirect reciprocity game in cognitive networks ; Indirect reciprocity game for dynamic channel access ; Multiuser indirect reciprocity game for cooperative communications ; Indirect reciprocity data fusion game and application to cooperative spectrum sensing -- Part II. Evolutionary games. Evolutionary game for cooperative peer-to-peer streaming ; Evolutionary game for spectrum sensing and access in cognitive networks ; Graphical evolutionary game for dsistributed adaptive networks ; Graphical evolutionary game for information diffusion in social networks ; Graphical evolutionary game for information diffusion in heterogeneous social networks -- Part III. Sequential decision-making. Introduction to sequential decision-making ; Chinese restaurant game : sequential decision-making in static systems ; Chinese restaurant game : sequential decision-making in dynamic systems ; Indian buffet game for multiple choices ; Hidden Chinese restaurant game : learning from actions ; Wireless network access with mechanism design ; Deal selection on social media with behavior prediction ; Social computing : answer vs. vote.
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"-- Provided by publisher.
ISBN:
1108494749
9781108494748
OCLC:
(OCoLC)1240492417
LCCN:
2021019446
Locations:
USUX851 -- Iowa State University - Parks Library (Ames)

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