Title: Emotion-oriented agent in mental state transition learning network

Authors: Takumi Ichimura; Kazuya Mera

Addresses: Faculty of Management and Information Systems, Prefectural University of Hiroshima, 1-1-71, Ujina-Higashi, Minami-ku, Hiroshima, 731-8558, Japan ' Graduate School of Information Sciences, Hiroshima City University, 3-4-1, Ozuka-Higashi, Asaminami-ku, Hiroshima, 731-3194, Japan

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.

Keywords: emotion generating calculations; EGC; mental state transition network; MSTN; multi-agent systems; agent-based systems; MAS; reinforcement learning; profit sharing; Q-learning; fuzzy membership function; emotional states; human emotions; psychological responses; mental responses; mental disorders.

DOI: 10.1504/IJCISTUDIES.2013.054773

International Journal of Computational Intelligence Studies, 2013 Vol.2 No.1, pp.26 - 51

Received: 06 Jun 2012
Accepted: 19 Jan 2013
Published online: 19 Jul 2014 *

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