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The Study of An Hybrid Learning Algorithm And An Hybrid Architecture Model In Agent-based Simulation

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3 Author(s)
Guo Xiao-jun ; Department of Control Engineering, Naval Aeronautical Engineering Institute, Yantai. E-mail: ; Yang Jian-jun ; Feng Guo-hu

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

Published in:

Computational Engineering in Systems Applications, IMACS Multiconference on  (Volume:2 )

Date of Conference:

4-6 Oct. 2006