Reciprocity, Evolution, and Decision Games in Network and Data Science Hardback
by Yan (University of Science and Technology of China) Chen, Chih-Yu Wang, Chunxiao (Tsinghua University, Beijing) Jiang, K. J. Ray (University of Maryland, College Park) Liu
Hardback
Description
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.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:472 pages, Worked examples or Exercises
- Publisher:Cambridge University Press
- Publication Date:22/07/2021
- Category:
- ISBN:9781108494748
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:472 pages, Worked examples or Exercises
- Publisher:Cambridge University Press
- Publication Date:22/07/2021
- Category:
- ISBN:9781108494748