Planspiel-Literaturdatenbank des ZMS

  • Erweiterte Suche öffnen

Treffer: 2
  • <
  • 1
  • >>

  • 2018

  • Motzev, Mihail (2018) : A Framework for Developing Multi-Layered Networks of Active Neurons for Simulation Experiments and Model-Based Business Games Using Self-Organizing Data Mining with the Group Method of Data Handling In: Lukosch, Heide; Bekebrede, Geertje; Kortmann, Rens (Hg.): Simulation Gaming: Application for Sustainable Cities and Smart Infrastructures: 48th International Simulation and Gaming Association Conference, ISAGA 2017: Cham, Switzerland: Springer International Publishing AG, S. 191-199

    Abstract: Artificial Neural Networks make it possible to develop faster modelbased
    business games, but in general, they are neither easy to develop nor easy
    to understand. This paper presents a highly automated framework for developing
    Multi-Layered Networks of Active Neurons for simulation experiments and
    model-based business games using self-organizing data mining with the Group
    Method of Data Handling. It discusses some of the results from international
    research done in Europe, Australia, and most recently at Walla Walla University
    in College Place, Washington, USA.

    Keywords: Data, Group, Active, Handling, (MLNAN), (ANNs), Neurons, Business, Networks, Artificial, of, Multi-Layered, Simulations, Method, Model-based, games, Neural, (GMDH)

  • 2015

  • Männamaa, Ivar; Leijen, Äli (2015): The Simulated Acculturation Model in the FOUNTAINS-Game. In: Simulation & Gaming 46 (1), S. 98-112. DOI: 10.1177/1046878115591393

    DOI: https://doi.org/10.1177/1046878115591393 

    Keywords: game reliability, game validity, acculturation, game evaluation, Model-based, interculturality
  • <
  • 1
  • >>