• DocumentCode
    1586187
  • Title

    The decision making method added emotion judgment

  • Author

    Horio, Keiichi ; Matsuda, Atsushi

  • Author_Institution
    Grad. Sch. of Life Sci. & Syst. Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, a new decision making method, in which the action selection of reinforcement learning is modulated by emotions, is proposed. In the proposed method, the emotion is tuned by a learning based on concept of Monte Calro method for reinforcement learning. The decision making methods can perform cooperation action from emotion based on relationship between the own position and the others position. The effectiveness of the proposed method is verified by simulation results.
  • Keywords
    Monte Carlo methods; decision making; learning (artificial intelligence); mobile robots; Monte Carlo method; action selection; autonomous robot development; decision making method; emotion judgment; reinforcement learning; Programmable logic arrays; Sensors; Agent; Cooperation; Emotion; Reinforcement learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2010
  • Conference_Location
    Kobe
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4244-9673-0
  • Electronic_ISBN
    2154-4824
  • Type

    conf

  • Filename
    5665296