• 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