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.
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.
A unique treatment of evolutionary games, indirect reciprocity, sequential decision making, and application to wireless and social networks.
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).
'This advanced text is a great start for more in-depth explorations into complex system-modeling areas. Recommended.' J. Brzezinski, Choice Connect
 |
Ask a Question About this Product More... |
|
