Research & Reviews: Journal of Engineering and Technology
MenuISSN: 2319-9873
ISSN: 2319-9873
+44 7456 035580Junichi Takeno
Meiji University, Japan
Keynote: JET
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.
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-mail: juntakeno@gmail.com