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
Link To Document