Yan Chen

Chunxiao Jiang

K. J. Ray Liu

Chih-Yu Wang

A unique treatment of evolutionary games, indirect reciprocity, sequential decision making, and application to wireless and social networks.

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

K.J. Ray Liu

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 real data sets, this is an ideal tool for graduate students and researchers working in networking, communications, and signal processing.

Chih-Yu Wang

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