Title: | GS9-4 Development of Behavioral Robot Using Imitated Multiplex Neurotransmitter System |
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Publication: | ICAROB2017 |
Volume: | 22 |
Pages: | 338-341 |
ISSN: | 2188-7829 |
DOI: | 10.5954/ICAROB.2017.GS9-4 |
Author(s): | Saji Keita, Eiji Hayashi, Wisanu Jitviriya |
Publication Date: | January 19, 2017 |
Keywords: | Neurotransmitter, Self-Organizing Map, Dimensions of Emotion |
Abstract: | This paper presents the design of the robot's behavior using the imitated multiplex neurotransmitter system. The major neurotransmitters of the nervous system are Dopamine, Noradrenaline and Serotonin, which are called monoamine neurotransmitter and they are related to the motivation, behavior and feeling. The proposed system is analyzed based on Lövheim's cube of emotion and Wundt‘s three-dimensional theory of feeling. So, Dopamine is applied as a comfort dimension, Noradrenaline is defined as a tense dimension, Serotonin is considered as an energetic dimension. In our system, three neurotransmitters are generated in each of the different factors, and then the motivation is calculated. The robot's motivation and some external information are classified into behavior and emotion maps using Self-Organizing Map learning. Finally, the robot's behavior and emotion are decided by Markov's stochastic model. The experimental results confirm the effective outcomes by comparing the conventional model with the proposed model. |
PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/GS_pdf/GS9/GS9-4.pdf |
Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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