• DocumentCode
    2656128
  • Title

    ILS: A system of learning distributed heterogeneous agents for network traffic management

  • Author

    Silver, Bernard ; Frawley, William ; Iba, Glenn ; Vittal, John

  • Author_Institution
    GTE Lab. Inc., Waltham, MA, USA
  • Volume
    3
  • fYear
    1993
  • fDate
    23-26 May 1993
  • Firstpage
    1869
  • Abstract
    Integrated Learning System (ILS) is a framework for integrating several distributed heterogeneous learning agents that cooperate to improve problem-solving performance. The agents learn both independently and cooperatively. Each agent has been tested independently using telecommunications traffic control as a domain, and each has demonstrated that it can learn by interacting with that domain. At present, ILS is being extensively tested using the same domain, and the initial results are very promising
  • Keywords
    learning systems; problem solving; telecommunication congestion control; telecommunication network management; ILS; Integrated Learning System; distributed heterogeneous learning agents; network traffic management; problem-solving performance; telecommunications traffic control; Artificial intelligence; Communication system traffic control; Disaster management; Expert systems; Humans; Intelligent networks; Switches; Telecommunication control; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 1993. ICC '93 Geneva. Technical Program, Conference Record, IEEE International Conference on
  • Conference_Location
    Geneva
  • Print_ISBN
    0-7803-0950-2
  • Type

    conf

  • DOI
    10.1109/ICC.1993.397603
  • Filename
    397603