Intelligent Technology of Command and Control System in the RTS Perspective

Authors

Wenfeng Wu, 1. Joint Operations College Joint Operations Training Center, National Defense University, Beijing 100091, China; ;2. Military Operations Teaching and Research Office, Army Artillery and Air Defense Academy, Hefei 230031, China;
Zhang Yu, 1. Joint Operations College Joint Operations Training Center, National Defense University, Beijing 100091, China; ;
Rong Ming, 1. Joint Operations College Joint Operations Training Center, National Defense University, Beijing 100091, China; ;

Abstract

Abstract: Real-Time Strategy (RTS) games have important reference value for studying the intelligent technology of command and control systems. The similarities between RTS games and the strategic battle level command and control systems are described according to the decision process. The challenges brought by the problems of planning, learning, uncertainty and space-time reasoning in the intelligent technology of RTS games are analyzed. The key technologies and latest research progress of action sequence planning, plan recognition, state assessment, multi-agent collaboration and multi-scale AI are studied. The trend of intelligent technology development of strategic and operational level command and control systems is pointed out. It provides a useful reference for the development and research of intelligent technology for command and control systems.

Recommended Citation

Wu, Wenfeng; Yu, Zhang; and Ming, Rong (2019) "Intelligent Technology of Command and Control System in the RTS Perspective," Journal of System Simulation: Vol. 30: Iss. 11, Article 14.
DOI: 10.16182/j.issn1004731x.joss.201811014
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss11/14

First Page

4158

Revised Date

2018-06-26

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201811014

Last Page

4171

CLC

TP391.9

Recommended Citation

Wu Wenfeng, Zhang Yu, Rong Ming. Intelligent Technology of Command and Control System in the RTS Perspective[J]. Journal of System Simulation, 2018, 30(11): 4158-4171.

DOI

10.16182/j.issn1004731x.joss.201811014