Intelligent Game on Networked Systems: Optimization, Evolution and Control

Intelligent game on networked systems sets ambitious goals and objectives, leading to the rapid development of progressively complex multi-agent systems and networks. This Focus Issue intends to explore intelligent game through the studies of mathematical modeling, control strategies and optimization algorithms, supported by real-world applications. The issue will be organized into a full coverage of investigations on the rich interplay between various elements (e.g., hierarchical multi-agent models, media social networks, heterogeneous communication topologies, etc.) and their interactions with collective influence on the dynamical behavior, decision-making, and emergent properties of multiagent systems (including such as evolutionary games, intricate collective dynamics, adaptive distributed control, etc.).

Topics covered include, but are not limited to:

Guest Editors

Lin Wang, Shanghai Jiao Tong University

Yang Lou, National Yang Ming Chiao Tung University

Zhihai Rong, Donghua University

Guanrong Chen, City University of Hong Kong