Reciprocity, Evolution, and Decision Games in Network and Data Science
Cambridge University Press, 7/22/2021
EAN 9781108494748, ISBN10: 1108494749
Hardcover, 472 pages, 24.9 x 20.3 x 2.5 cm
Language: English
Originally published in English
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.
1. Basic Game Theory
Part I. Indirect Reciprocity
2. Indirect Reciprocity Game in Cognitive Networks
3. Indirect Reciprocity Game for Dynamic Channel Access
4. Multiuser Indirect Reciprocity Game for Cooperative Communications
5. Indirect-Reciprocity Data Fusion Game and Application to Cooperative Spectrum Sensing
Part II. Evolutionary Game
6. Evolutionary Game for Cooperative Peer-to-Peer Streaming
7. Evolutionary Game for Spectrum Sensing and Access in Cognitive Networks
8. Graphical Evolutionary Game for Distributed Adaptive Networks
9. Graphical Evolutionary Game for Information Diffusions in Social Networks
10. Graphical Evolutionary Game for Information Diffusions in Heterogeneous Social Networks
Part III. Sequential Decision Making
11. Introduction to Sequential Decision Making
12. Chinese Restaurant Game
Sequential Decision Making in Static Systems
Dynamic Chinese Restaurant Game
Sequential Decision Making in Dynamic Systems
14. Indian Buffet Game for Multiple Choices
15. Hidden Chinese Restaurant Game
Learning from Actions
16. Wireless Network Access with Mechanism Design
17. Wireless Network Access with Mechanism Design
18. Social Computing
Answer vs. Vote.