Emotion-oriented agent in mental state transition learning network
by Takumi Ichimura; Kazuya Mera
International Journal of Computational Intelligence Studies (IJCISTUDIES), Vol. 2, No. 1, 2013

Abstract: Mental state transition network which consists of mental states connected to one another is a basic concept of approximating human psychological and mental responses. It can represent transition from an emotional state to another with stimulus calculated by emotion generating calculations method. In this paper, the agent using mental state transition network can interact with humans to realise smooth communication by two kinds of reinforcement learning methods. Some experimental results can show the variance of human's delicate emotion. The proposed technique can be expected to be an emotional-oriented interface in case of treatment of mental disorder.

Online publication date: Sat, 19-Jul-2014

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