DocumentCode
2574179
Title
The learning mechanism design with petri nets for adaptive agent
Author
Zhou, Qing ; Guo, Xuefeng
Author_Institution
Sch. of Bus. Adm., Univ. of Pet., Beijing
fYear
2008
fDate
June 30 2008-July 2 2008
Firstpage
1
Lastpage
5
Abstract
The complex adaptive systems (CAS) is a new theory with the goal to study how complex behaviors emerge in systems of relatively simple interacting individuals. The CAS is also a multi-agent system, and learning ability is a crucial characteristic of adaptive agents. This paper explores the learning agent model with Petri nets by considering both the macrostructure and microstructure for complex adaptive systems simulation.
Keywords
Petri nets; learning systems; multi-agent systems; CAS; Petri nets; adaptive agent; complex adaptive systems; learning mechanism design; multiagent system; Adaptive control; Adaptive systems; Biological cells; Computational modeling; Decision making; Learning systems; Multiagent systems; Petri nets; Programmable control; Supply chains; Classifier system; Complex Adaptive Systems; ECHO Model; Learning Mechanism; Multi-agent system;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Systems and Service Management, 2008 International Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4244-1671-4
Electronic_ISBN
978-1-4244-1672-1
Type
conf
DOI
10.1109/ICSSSM.2008.4598487
Filename
4598487
Link To Document