Title :
The Study of An Hybrid Learning Algorithm And An Hybrid Architecture Model In Agent-based Simulation
Author :
Xiao-jun, Guo ; Jian-jun, Yang ; Guo-hu, Feng
Author_Institution :
Dept. of Control Eng., Naval Aeronaut. Eng. Inst., Shandong
Abstract :
To improve learning efficiency, a hybrid learning algorithm is proposed to combine individual learning and group learning effectively; it improves agent´s ability and system´s intelligence level; to satisfy the requirements of complex adaptability, an hybrid architecture model is developed; in this model, a coordination control unit based on knowledge is proposed to coordinate the cognitive process and reactive process
Keywords :
learning (artificial intelligence); multi-agent systems; agent-based simulation; cognitive process; coordination control; hybrid architecture model; hybrid learning algorithm; multiagent system; reactive process; Artificial intelligence; Computer architecture; Hybrid intelligent systems; Intelligent agent; Learning systems; Machine learning; Machine learning algorithms; Multiagent systems; Real time systems; Systems engineering and theory; hybrid architecture; hybrid learning algorithm; multi-agent system;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.4281850
