scholarly journals The Multi-Agent Data Collection in HLA-Based Simulation System

Author(s):  
Heng-Jie Song ◽  
Zhi-Qi Shen ◽  
Chun-Yan Miao ◽  
Ah-Hwee Tan ◽  
Guo-Peng Zhao
2011 ◽  
Vol 383-390 ◽  
pp. 1555-1561
Author(s):  
Wu Li Wang ◽  
Yan Jiang Wang

In view of the characteristics of the oil drilling process and the existing problems of traditional simulation system, a new distributed drilling simulation model was established based on Multi-Agent system (MAS) technology. By means of autonomous, cooperative and reactive characteristic of Agent, the drilling laws and phenomenon can be reflected promptly and accurately under any circumstances. The MAS modeling for oil drilling simulation, the structure and knowledge representation of each Agent and the communication among Agents are described in detail. Finally, an Agent-based normal drilling well control simulation training example was given. The simulation results show that the simulator based on Multi-Agent system has better performances than traditional drilling simulators, and enhances the integrated training function of the drilling simulation system.


10.5772/5796 ◽  
2005 ◽  
Vol 2 (2) ◽  
pp. 12 ◽  
Author(s):  
Alborz Geramifard ◽  
Peyman Nayeri ◽  
Reza Zamani-Nasab ◽  
Jafar Habibi

This paper presents a new architecture called FAIS for implementing intelligent agents cooperating in a special Multi Agent environment, namely the RoboCup Rescue Simulation System. This is a layered architecture which is customized for solving fire extinguishing problem. Structural decision making algorithms are combined with heuristic ones in this model, so it's a hybrid architecture.


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