• DocumentCode
    3746933
  • Title

    Social simulation for analysis, interaction, training and community awareness

  • Author

    Lin Padgham;Dhirendra Singh;Fabio Zambetta

  • Author_Institution
    Department of Computer Science and I.T., RMIT University, Melbourne, Australia
  • fYear
    2015
  • Firstpage
    3130
  • Lastpage
    3131
  • Abstract
    Social simulation often concerns the behaviour of humans interacting within some system. Simulation applications are increasingly requiring more realistic and complex human modelling, than reactive rules. We suggest that the established Belief Desire Intention (BDI) approach to modelling cognitive agents, can usefully be applied to modelling humans in social simulations. Traditional social science resources can be used to develop models of human decision making and behaviour that can be represented directly in the BDI programming paradigm. Coupling BDI systems with Agent Based Modelling and Simulation (ABMS) systems, one can create powerful simulations that can be used for a range of analysis, training and community education purposes.
  • Keywords
    "Analytical models","Computational modeling","Training","Couplings","Context modeling","Context"
  • Publisher
    ieee
  • Conference_Titel
    Winter Simulation Conference (WSC), 2015
  • Electronic_ISBN
    1558-4305
  • Type

    conf

  • DOI
    10.1109/WSC.2015.7408434
  • Filename
    7408434