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Research on Associative Memory Models of Emotional Robots
Author(s) -
Yi Wang,
Zhi-liang Wang,
Wei Wang
Publication year - 2014
Publication title -
advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
ISSN - 1687-8132
DOI - 10.1155/2014/208153
Subject(s) - computer science , content addressable memory , robot , bidirectional associative memory , artificial neural network , associative property , artificial intelligence , mood , psychology , social psychology , mathematics , pure mathematics
Associative memory is essential to realize man-machine cooperation in the natural interaction between humans and robots. The establishment of associative memory model is to solve the problem. First, based on the theory of emotional energy, mood spontaneous metastasis model and stimulate metastasis model are put forward. Then we can achieve affective computing on the external excitation combining with Markov chain model which is about emotions of spontaneous metastasis and HMM model which is about stimulating metastasis. Second, based on the neural network, the associative memory model which is applied in emotional robots is put forward by calculating the emotional state of the robot's dynamic change of mind and considering their own needs at the same time. Finally, the model was applied to the emotional robot platform which we developed. The effect is validated better.

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