Game Theory for Intelligent Network Control Paradigm

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.

Sungwook Kim received the BS, MS degrees in computer science from the Sogang University, Seoul, in 1993 and 1995, respectively. From 1995 to 1998, he was a Member of Technical Staff at A. I. Soft. Company Ltd., Seoul, Korea. In 2003, he received the PhD degree in computer science from the Syracuse University, Syracuse, New York, supervised by Prof. Pramod K. Varshney. After that, he had held faculty positions at the department of Computer Science of Chung-Ang University, Seoul. In 2006, he returned to Sogang University, where he is currently an associate professor of department of Computer Science & Engineering, and is a research director of the Internet Communication Control research laboratory (ICC Lab.).