Title :
The AML Approach to Modeling Dynamic Organization of Combat Team
Author :
Liu, Jin-xing ; Chen, Shao-dong ; Zhao, Dong-mei ; Gao, Jin-song
Author_Institution :
Dept. Airborne Weapon, First Aeronaut. Coll. of PLAAF, Xinyang, China
Abstract :
Modeling the dynamic organization of the combat team based on MAS(Multi-Agent System) is an effective way to enhance its automatic and cooperative decision capability in dynamic, uncertain, complex, and hostile air combat environment. The AML(Agent Modeling Language) is a semi-formal visual modeling language for specifying, modeling and documenting systems that incorporate features drawn from multi-agent systems theory, which can provide software engineers with a ready-to-use, complete and highly expressive modeling language suitable for the development of commercial software solutions based on multi-agent technologies. In this paper, we try to apply AML in modeling organization of the combat team. First, the model of the organization structure of combat team based on MAS, such as the structure, role, and combat goal of the combat team, are modeled by means of agent structure diagram and activity diagram. And then, the evolvement process of the combat team, which include the member change, combat role change etc., are modeled by communication sequence diagram etc.
Keywords :
aerospace computing; command and control systems; multi-agent systems; visual languages; AML approach; activity diagram; agent modeling language; agent structure diagram; air combat environment; combat team; communication sequence diagram; decision capability; dynamic organization modeling; intelligent airborne command control system; multiagent systems theory; semi-formal visual modeling language; Aerodynamics; Artificial intelligence; Communication system control; Control systems; Educational institutions; Information technology; Multiagent systems; Organizations; Unified modeling language; Weapons;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473584