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Introduction to focus issue: Intelligent game on networked systems: Optimization, evolution and control
Lin Wang1, Yang Lou2, Zhihai Rong3
1State Key Laboratory of Submarine Geoscience, Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China.
None:
Networked systems-from smart grids and autonomous fleets to social networks-are ubiquitous yet complex, with agents interacting amid topological dependencies and challenges like dynamic environments or malicious attacks. Game theory, control theory, and optimization offer tools to model these systems, but bridging theory with real-world complexity remains a key gap. This Chaos Focus Issue tackles this by exploring intelligent game theory in networked systems, featuring 26 papers across four themes: cooperation promotion, distributed systems, complex structures, and game applications. It links theoretical insights (e.g., cooperative dynamics in structured populations) to practical solutions (e.g., epidemic control, infrastructure protection), advancing resilient, efficient networked system design.
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