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An Emotion Decision-Making Model in Multi-agent Environment
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.
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