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| An Emotion Decision-Making Model in Multi-agent Environment |
| LIN Jun-Huan1,2, LIU Zhen1, CHEN Yue-Fen3 |
1.Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211
2.Mechanical and Electrical Engineering College, Taizhou Vocational and Technical College, Taizhou 318000
3.College of Physics and Electronic Engineering, Taizhou University, Taizhou 318000 |
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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.
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Received: 09 September 2013
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2015, Vol. 28 
