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

Volume

2

fYear

2006

fDate

4-6 Oct. 2006

Firstpage

1361

Lastpage

1365

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CESA.2006.4281850

Filename

4281850