Authors
Wisanu Jitviriya, Jiraphan Inthiam, Eiji Hayashi
Corresponding Author
Wisanu Jitviriya
Available Online 1 March 2016.
DOI
https://doi.org/10.2991/jrnal.2016.2.4.10
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 ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).