The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
An Emotion Decision-Making Model in Multi-agent Environment
Author(s): 
Pages: 369-376
Year: Issue:  4
Journal: Pattern Recognition and Artificial Intelligence

Keyword:  Multi-agent Decision-MakingNash-Q LearningEmotion Decision-MakingGame Theory;
Abstract: An emotion decision-making model consisting of cognition layer and emotion layer is constructed,the cognition layer is implemented in the Nash-Q algorithm,and the emotion layer is based on the theory of emotion memory and evaluation. The emotion space includes happiness,sadness,fear,boredom. The stimulus-to-emotion mapping model,emotion-to-action mapping model and the evaluation model of action credibility for each emotion are built respectively. The proposed model is applied to two-agent grid decision-making experiment. The results show that the convergence speed is higher when the Nash-Q algorithm is combined with emotional layer,and the model can effectively avoid local optimum. The model keeps better balance between conservation and searching in online learning.
Related Articles
No related articles found