DocumentCode :
1595787
Title :
Artificial Intelligence in Modeling Command and Control
Author :
Liu, Jianying ; Li, Xiaolong
Author_Institution :
Dept. of Sci. Res., Acad. of Armored Force Eng., Beijing, China
Volume :
3
fYear :
2010
Firstpage :
383
Lastpage :
386
Abstract :
In simulation of military conflict, representation of command and control (C2) is very important. Because of the complexity of command and control models involved in reasoning, decision-making and planning and other high-level intelligent behavior, artificial intelligence (AI) plays an increasingly important role in these areas. This paper provides the main AI techniques and methods used to model command and control. Briefly introduces the concepts of artificial intelligence and command and control at first. The structure of command entity using agent technology which can explore the emergent properties of systems is described. In addition to agent, we also discuss the AI in the C2 cognitive models including situation assessment, planning, course of action selection and learning. All techniques help to enhance the validity and reliability of models.
Keywords :
command and control systems; control engineering computing; decision making; inference mechanisms; planning (artificial intelligence); AI techniques; C2 cognitive models; agent technology; artificial intelligence; command and control model complexity; command entity structure; decision making; high-level intelligent behavior; military conflict simulation; situation assessment; Artificial intelligence; Command and control systems; Computational modeling; Computer simulation; Decision making; Humans; Intelligent agent; Knowledge representation; Machine learning; Military computing; agent; artificial intelligence; command and control; planning; situation assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
Type :
conf
DOI :
10.1109/ICCMS.2010.449
Filename :
5421248
Link To Document :
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