DocumentCode :
2348762
Title :
Applying fuzzy immune algorithm to multi-agent cooperation analysis and synthesis
Author :
Qiliang, Liao ; Chiqiu, Liao ; Jiansi, Zeng
Author_Institution :
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Volume :
2
fYear :
2005
fDate :
26-29 June 2005
Firstpage :
1283
Abstract :
Multi-agent cooperation is a big problem in robot soccer, to solve the problem, lots of theories and methods have been raised. Most of them are effective, such as BDI Model, Jennings´s theory and Stone´s locker-room agreement. In this article, the author raises a different design, named fuzzy immune algorithm to do a new research work.
Keywords :
fuzzy control; fuzzy set theory; mobile robots; multi-agent systems; multi-robot systems; Jennings theory; Stone locker-room agreement; fuzzy immune algorithm; multi-agent cooperation analysis; robot soccer; Algorithm design and analysis; Collaboration; Decision making; Educational institutions; Emulation; Fuzzy control; Fuzzy systems; Immune system; Real time systems; Robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2005. ICCA '05. International Conference on
Print_ISBN :
0-7803-9137-3
Type :
conf
DOI :
10.1109/ICCA.2005.1528319
Filename :
1528319
Link To Document :
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