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
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;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824