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首页> 外文期刊>Signal Processing Magazine, IEEE >Game Theory for Networks: A tutorial on game-theoretic tools for emerging signal processing applications
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Game Theory for Networks: A tutorial on game-theoretic tools for emerging signal processing applications

机译:网络博弈论:针对新兴信号处理应用的博弈论工具教程

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摘要

The aim of this tutorial is to provide an overview, although necessarily incomplete, of game theory (GT) for signal processing (SP) in networks. One of the main features of this contribution is to gather in a single article some fundamental game-theoretic notions and tools that, over the past few years, have become widespread in the SP literature. In particular, both strategic-form and coalition-form games are described in detail, and the key connections and differences between them are outlined. Moreover, particular attention is also devoted to clarifying the connections between strategic-form games and distributed optimization and learning algorithms. Beyond an introduction to the basic concepts and main solution approaches, several carefully designed examples are provided to allow a better understanding of how to apply the described tools.
机译:本教程的目的是为网络中的信号处理(SP)提供博弈论(GT)的概述(尽管不一定完整)。这种贡献的主要特征之一是在一篇文章中收集了一些基本的博弈论概念和工具,这些概念和工具在过去几年中已在SP文献中得到广泛传播。特别是,详细描述了战略形式和联盟形式的游戏,并概述了它们之间的关键联系和区别。此外,还特别注意阐明战略形式游戏与分布式优化和学习算法之间的联系。除了基本概念和主要解决方案的介绍之外,还提供了几个精心设计的示例,以使您更好地理解如何应用所描述的工具。

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