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• [P507] Emotion Generation System based on MaC Model with Neural Networks
  Author(s): Kazuki Hirozawa, Yuko Osana
  
  

  Abstract
  In this paper, we propose an emotion generation system based on MaC model using neural networks. In the proposed system, the chaotic neural network and the Boltzmann machine are used in the Emotion Generator of the MaC model. In the Boltzmann machine, the plural pattern can be recalled stochastically for the same input. The proposed system makes use of this property in order to generate different emotions for same external input. On the other hand, the chaotic neural network can recall the training patterns dynamicallybased on external input and the history. The proposed system makes use of this property in order to generate emotions based on its history.

  
   

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