Isbn: 9798337320144 - game theory for intelligent network control paradigm (6 resultados)

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Paperback. Condición: new. Paperback. Game theory emerges as a mathematical framework for analyzing and optimizing decision-making in complex, interactive environments, making it well-suited for intelligent network control paradigms. As modern networks become autonomous, traditional control strategies struggle when addressing issues like resource allocation and conflict resolution. Game theory provides tools to model and predict strategic interactions among multiple intelligent agents within a network, enabling robust, adaptive, and efficient control mechanisms. This shift towards game-theoretic network control paves the way for self-organizing, scalable, and context-aware networks capable of meeting the demands of next-generation technologies. Game Theory for Intelligent Network Control Paradigm explores applications of game theory, current trends, understudied areas, and new directions for further investigation. It presents an introduction on game theory with an emphasis on applications for intelligent control issues. This book covers topics such as network control, cloud computing, and learning algorithms, and is a useful resource computer engineers, business owners, academicians, researchers, and scientists. "The first part of my manuscript introduces the fundamental concepts of game theory while emphasizing the interconnection between game theory and intelligent learning algorithms in network control problems such as power control, access control, bandwidth adaptation, routing, and game theoretic solutions for the network management"-- Provided by publisher. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Game theory emerges as a mathematical framework for analyzing and optimizing decision-making in complex, interactive environments, making it well-suited for intelligent network control paradigms. As modern networks become autonomous, traditional control strategies struggle when addressing issues like resource allocation and conflict resolution. Game theory provides tools to model and predict strategic interactions among multiple intelligent agents within a network, enabling robust, adaptive, and efficient control mechanisms. This shift towards game-theoretic network control paves the way for self-organizing, scalable, and context-aware networks capable of meeting the demands of next-generation technologies. Game Theory for Intelligent Network Control Paradigm explores applications of game theory, current trends, understudied areas, and new directions for further investigation. It presents an introduction on game theory with an emphasis on applications for intelligent control issues. This book covers topics such as network control, cloud computing, and learning algorithms, and is a useful resource computer engineers, business owners, academicians, researchers, and scientists.…