Authors
Wisanu Jitviriya, Eiji Hayashi
Corresponding Author
Wisanu Jitviriya
Available Online 15 September 2014.
DOI
https://doi.org/10.2991/jrnal.2014.1.2.8
Keywords
Consciousness-Based Architecture (CBA), Human-robot interactions, Self-Organizing
Map (SOM)
Abstract
Our research has been focused on developing human-robot interactions, the
robots need to perform a high level of intellectual activity and user compatibility.
Therefore, we considered the primary structure of a conscious human/animal
action, which can be represented by the sequence process, Perception ?
Motivation ? Action. We have improved a hierarchical structure model, which
defines the relationship between the consciousness field and the behavior
module. This model is called Consciousness-Based Architecture (CBA). Furthermore,
the robot should select the action itself, we have investigated the application
of brain-inspired technology so we introduced a Self-Organizing Map (SOM)
neural network that is trained using unsupervised learning to classify
its behavior according to the motivation value in the CBA module. In this
paper, we attempt to describe the integration of a Self-Organizing Map
(SOM) method into a CBA module in order to classify and select autonomous
behavior. We confirmed the effectiveness of the proposed system by 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/).