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Introduction to focus issue: Intelligent game on networked systems: Optimization, evolution and control.

Lin Wang1, Yang Lou2, Zhihai Rong3

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Intelligent game theory advances networked systems by bridging theoretical insights with practical applications. This research explores cooperation, distributed systems, and complex structures for resilient and efficient network design.

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Area of Science:

  • Complex Systems
  • Network Science
  • Game Theory

Background:

  • Networked systems are ubiquitous but complex, facing challenges like dynamic environments and attacks.
  • Existing tools from game theory, control theory, and optimization struggle to bridge the gap between theory and real-world complexity.

Purpose of the Study:

  • To explore intelligent game theory in networked systems.
  • To address the gap between theoretical models and real-world complexities in networked systems.
  • To foster resilient and efficient networked system design.

Main Methods:

  • A Chaos Focus Issue featuring 26 papers.
  • Thematic organization into cooperation promotion, distributed systems, complex structures, and game applications.
  • Linking theoretical insights with practical solutions.

Main Results:

  • Exploration of cooperative dynamics in structured populations.
  • Development of practical solutions for epidemic control and infrastructure protection.
  • Advancement of resilient and efficient networked system design.

Conclusions:

  • Intelligent game theory offers a powerful framework for analyzing and designing complex networked systems.
  • Bridging theoretical and practical approaches is crucial for addressing real-world challenges in networked systems.
  • The featured research advances the understanding and application of game theory in diverse networked environments.