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

Reciprocity, Evolution, and Decision Games in Network and Data Science
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121.0
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Product Details
ISBN-13: | 9781108849036 |
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Publisher: | Cambridge University Press |
Publication date: | 07/22/2021 |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 16 MB |
Note: | This product may take a few minutes to download. |
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