Sinopsis
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.
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Acerca del autor
Sungwook Kim received BS and MS degrees in computer science from Sogang University, Seoul, Rep. of Korea in 1993 and 1995, respectively. In 2003, he received a PhD degree in computer science from Syracuse University, Syracuse, New York, supervised by Prof. Pramod K. Varshney. He has held faculty positions in the Department of Computer Science of ChoongAng University, Seoul, Rep. of Korea. In 2006, he returned to Sogang University, where he is currently a professor in the Department of Computer Science and Engineering, and he is a research director of the Network Research Laboratory. His research interests include resource management, online algorithms, adaptive quality-of-service control, and game theory for network design.
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Game Theory for Intelligent Network Control Paradigm (Paperback)
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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. Nº de ref. del artículo: 9798337320144
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Game Theory for Intelligent Network Control Paradigm (Paperback)
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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 multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798337320144
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Game Theory for Intelligent Network Control Paradigm
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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. Nº de ref. del artículo: 9798337320144
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