• DocumentCode
    677997
  • Title

    Learning-Assisted Intelligent Scheduling System

  • Author

    Madureira, A. ; Pereira, J.P. ; Pereira, I.

  • Author_Institution
    GECAD Res. Group, Polytech. Inst. of Porto, Porto, Portugal
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    2820
  • Lastpage
    2825
  • Abstract
    This paper addresses the developing of Learning-Assisted Intelligent Scheduling Systems that uses active learning by accumulation and interpretation of scheduling experience or even by observation of expert´s decisions. The design of intelligent systems (IS) that learn with experts is a very hard and challenging domain because current systems are becoming more and more complex and subject to rapid changes. The model for the proposed system will be presented.
  • Keywords
    decision support systems; human computer interaction; learning (artificial intelligence); scheduling; active learning; intelligent systems; learning-assisted intelligent scheduling system; scheduling experience accumulation; scheduling experience interpretation; Artificial intelligence; Dynamic scheduling; Job shop scheduling; Manufacturing; Optimization; Organizations; Decision Support Systems; Human-Computer Interaction; Intelligent Scheduling; Learning by Observation; Machine Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.481
  • Filename
    6722234