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