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Research & Reviews: Journal of Engineering and Technology | ISSN: 2319-9873 | Volume 8
May 23-24, 2019 | Vienna, Austria
Robotics and Artificial Intelligence
2nd International Conference on
My research group and I have invented a consciousness
module called a MoNAD that is constructed of a
few recursive neural networks, and we have developed
a conscious system using these modules. The module is
only comprised of simple combined neural networks, but it
can be used to explain a part of the phenomena of human
consciousness. We also include an explanation about the
module’s self-reference function, that is, a MoNAD is able to
represent itself. The module also includes the famous mirror
neuron capability in which the central neurons of the module
are related to cognition and behavior. The module can also
be used to explain how a machine feels by means of neural
networks. We think this is a very important explanation for
robots of the future because it can learn unknown concepts
autonomously. We conducted several experiments using
this conscious system with a small robot. We will provide
details on these experiments in the lecture, and speak on
the capabilities of consciousness in color perception, the
principles of pleasant and unpleasant feelings, modeling and
simulation experiments on the Rubin's vase phenomenon,
and the ego (the self) as a program. And finally we will touch
on the modeling of advanced traumatic brain injuries using
this conscious system.
Speaker Biography
Junichi Takeno is a Professor at Meiji University and President of Heuristics
Science Research Institute. He has also been the Associative editor of the
ELSEVIER. He served as General Chair of ICAM94 (International Conference
of Advanced Mechatronics, Japan Society of Mechanical Engineers). He
was a guest lecturer at Karlsruhe University, Germany, 1994 Trusty of the
RSJ, 1998–2000 Aide for the President of Meiji University (2004-2011).
e:
Junichi Takeno
Meiji University, Japan
Research on a conscious system and experiments using a Robot
Junichi Takeno, JET, Volume 8 | ISSN: 2319-9873