Reciprocity, evolution, and decision games in network and data science
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 tradit...
Main Authors: | , , , |
---|---|
Format: | eBook |
Language: | English |
Published: |
Cambridge
Cambridge University Press
2021
|
Subjects: | |
Online Access: | |
Collection: | Cambridge Books Online - Collection details see MPG.ReNa |
Summary: | 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 |
---|---|
Physical Description: | xv, 457 pages digital |
ISBN: | 9781108859783 |