• DocumentCode
    3475197
  • Title

    Multi-layered learner knowledge model for evaluative multi-agent simulation

  • Author

    Hashimoto, Kiyota ; Takeuchi, Kazuhiro

  • Author_Institution
    Sch. of Humanities & Social Sci., Osaka Prefecture Univ., Sakai, Japan
  • fYear
    2011
  • fDate
    27-30 Sept. 2011
  • Firstpage
    270
  • Lastpage
    275
  • Abstract
    Various kinds of learner support systems have been proposed and employed, and their evaluation, whether it is at a developmental stage or at the employing stage, depends on learners, which is inevitable but which failure must be avoided as much as possible. For that purpose, it is desirable to employ a computer simulation, but the body of relevant knowledge, the model representing learning stages, and learner data are necessary. In this prototypical study, we propose a novel method to employ a multi-layered multi-agent simulation.
  • Keywords
    learning (artificial intelligence); multi-agent systems; simulation; developmental stage; employing stage; evaluative multiagent simulation; learner data; learner support systems; learning stage representation model; multilayered learner knowledge model; relevant knowledge; Coherence; Computational modeling; Grammar; Organizations; learner simulation; machine learning; multi-layered multi-agent; system evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Awareness Science and Technology (iCAST), 2011 3rd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4577-0887-9
  • Type

    conf

  • DOI
    10.1109/ICAwST.2011.6163154
  • Filename
    6163154