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

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Authors: Lin Wang, Yang Lou, Zhihai Rong, Guanrong Chen
Cited by: 1
References: 36

Abstract

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.

Fields of Study & Subjects

Game Theory and Applications Complex Network Analysis Techniques Infrastructure Resilience and Vulnerability Analysis

Publication details

Journal / source
Chaos An Interdisciplinary Journal of Nonlinear Science
Publisher
AIP Publishing
Volume
36
Issue
1
Publication date
1 January 2026
Language
EN