Dynamic Behavior Selection Model based on Emotional States for Conbe-I robot

DOI

10.2991/jrnal.2016.2.4.10How to use a DOI?

Keywords

Behavior selection model, Self-organizing map (SOM) learning, Markovian model.

Abstract

Currently, the rapid development of non-industrial robots that are designed with artificial intelligence (AI) methods to improve the robotics system is to have them imitate human thinking and behavior. Therefore, our works have focused on studying and investigating the application of brain-inspired technology for developing the conscious behavior robot (Conbe-I). We created the hierarchical structure model, which is called “Consciousness-Based Architecture: CBA” module, but it has limitation in managing and selecting the behavior that only depends on the increase and decrease of the motivation levels. Consequently, in this paper, we would like to introduce the dynamic behavior selection model based on emotional states, which develops by Self-organizing map learning and Markov model in order to define the relationship between the behavioral selection and emotional expression model. We confirm the effectiveness of the proposed system with the experimental results.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Wisanu Jitviriya
AU  - Jiraphan Inthiam
AU  - Eiji Hayashi
PY  - 2016
DA  - 2016/03/01
TI  - Dynamic Behavior Selection Model based on Emotional States for Conbe-I robot
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 247
EP  - 251
VL  - 2
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2016.2.4.10
DO  - 10.2991/jrnal.2016.2.4.10
ID  - Jitviriya2016
ER  -