• DocumentCode
    3564621
  • Title

    Artificial Intelligence for Ethology: Neural Networks in the Prediction of Human Behavior

  • Author

    Koutsomanis, Demetrios

  • Author_Institution
    Lab. de Biosociologie Animale et Humaine, Univ. Paris V, La Sorbonne, Paris, France
  • fYear
    2014
  • Firstpage
    32
  • Lastpage
    35
  • Abstract
    Can we reliably predict human behavior using Artificial Intelligence? Can traditional methods of Ethology, such as an ethogramm, be implted to achieve this goal ? This is the aim of this study which used observational data collected from ambulatory addictology patients of a district general hospital, using traditional methodological tools of Ethology (ethograms). Observed versus predicted data after adequate training of an appropriately built neural network correlated strongly (Pearson two tailed) and did not differ significantly (t-test). We conclude that Neural Networks may, under defined methodological circumstances, reliably predict human behavior.
  • Keywords
    artificial intelligence; behavioural sciences computing; hospitals; ambulatory addictology patients; artificial intelligence; district general hospital; ethogram; ethology; human behavior prediction; neural networks; Accuracy; Artificial intelligence; Artificial neural networks; Computational modeling; Psychology; Training; Artificial Intelligence; Human Behavior; Neural Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2014 UKSim-AMSS 16th International Conference on
  • Print_ISBN
    978-1-4799-4923-6
  • Type

    conf

  • DOI
    10.1109/UKSim.2014.106
  • Filename
    7046034