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. © 2026 Author(s).
| Original language | English |
|---|---|
| Article number | 010402 |
| Number of pages | 6 |
| Journal | Chaos |
| Volume | 36 |
| Issue number | 1 |
| Online published | 13 Jan 2026 |
| DOIs | |
| Publication status | Published - Jan 2026 |
Funding
The editorial work for this Focus Issue emanated from the research jointly funded by the National Natural Science Foundation of China (Grant Nos. 62373245 and 12426311), by the Science and Technology Commission of Shanghai Municipality (Grant No. 22JC1401403), and by the Shun Hing Education and Charity Fund Chair Professor of Engineering under Grant No. 1886992.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure
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