DocumentCode :
3116670
Title :
Fuzzy reinforcement learning for System of Systems (SOS)
Author :
Berenji, Hamid ; Jamshidi, Mo
Author_Institution :
IIS Corp, Moffett Field, CA, USA
fYear :
2011
fDate :
27-30 June 2011
Firstpage :
1689
Lastpage :
1694
Abstract :
The System of Systems (SOS) technology is an advanced technology for Intelligent Systems that is developed with multiple intelligent systems. Recently, there has been a growing interest in a class of complex systems (robotic swarm as an example) whose constituents are themselves complex. Performance optimization, robustness and reliability among an emerging group of heterogeneous systems in order to realize a common goal have become the focus of various applications including military, security, aerospace, space, manufacturing, service industry, environmental systems, and disaster management, to name a few. In this paper, we discuss how Fuzzy Reinforcement Learning (FRL) can be used in SOS.
Keywords :
fuzzy reasoning; intelligent robots; learning (artificial intelligence); optimisation; reliability; robot programming; SOS technology; complex systems; fuzzy reinforcement learning; multiple intelligent systems; optimization; reliability; system of systems; Mobile robots; Robot kinematics; Robot sensing systems; Software; XML; Fuzzy Reinforcement Learning (FRL); System of Systems (SOS); Unmanned Ground Vehicles (UGVs); cooperation; robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1098-7584
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2011.6007325
Filename :
6007325
Link To Document :
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