ABOUT

Mathematical Engineering of Morality Emotions is a field that studies the “artificial ego” that gives judgment to robots and artificial intelligence (AI). We design herein a mathematical model of will (desire and motivation) and superego (moral and morality) to clarify the judgment criteria. Our research is based on neuromedicine, neural networks, and the dynamic model of ego. We will review the neural network from the ground up because it has not developed in recent decades.

Definition of “consciousness of robot and machine” and artificial ego

The “consciousness of robot and machine” is to be generated by the functions of a new neural network composed of emotion emergence, plasticity, memory, generation, and bifurcation (judgment).

The functions of the new neural network are newly constructed from the close relationship between the neuroreceptors for emotion and memory revealed in the state-of-the-art neuromedical research and the discovery of transfer systems not limited to ion exchange. Among the functions of the new neural network, that with an identity that distinguishes its self from the others is called the artificial ego.

Our final goal is to establish an artificial ego, which “voluntarily outputs ideas or questions that humans are not able to express or solve.” In designing such spontaneous outputs, we return to the perspective that Alan Turing might have had and use not only the components of the von Neumann architecture, but also the components of the non-von Neumann architecture.

RESEARCH RESULT

  • S. Mitsuyoshi, E. Shintani, K. Tomonaga, Y. Tei: WHITE HOLE EXISTENCE ON THE INVERSE UNIVERSE. Science & Philosophy, Vol. 10, No. 2, 2022. (pdf: http://eiris.it/ojs/index.php/scienceandphilosophy/article/view/869/1016)

    JOURNALS/PAPERS
  • S. Mitsuyoshi, K. Tomonaga, M. Hashimoto, Y. Tei: Utilization in Artificial Ego of Quantum Calculations Based on Anti-Einstein Field Hypothesis. DHU JOURNAL, Vol. 08, pp. 7-23, 2021. (pdf: https://msl.dhw.ac.jp/wp-content/uploads/2021/11/DHUJOURNAL2021_P007.pdf)

    JOURNALS/PAPERS

MEMBER

Shunji Mitsuyoshi

Project Associate Professor

Shunji MITSUYOSHI Ph.D.
Project Associate Professor
Department of Bioengineering, Graduate School of Engineering, The University of Tokyo

The moral engineering mechanism in this program has been presented in the books* of Yuichi Tei.
Shunji Mitsuyoshi is responsible for putting the mechanism into a mathematical engineering model.

  • * Diversity and Morality: Crossing Borders with Engineering Approach (Kindle: Amazon Services International, Inc./Book: BookLab, 2017).
  • * Dotoku no Mekanizumu (Mechanism of Morality), KK Bestsellers, 2013 [in Japanese].

Shunji Mitsuyoshi received a BFA from Tama Art University (Dept. of Sculpture) in 1998 and his Ph.D. from Graduate School of Advanced Technology and Science, the University of Tokushima in 2006.

In 1999, he developed and acquired a patent for “Voice Emotion Recognition Technology, ST”. This technology was later adopted for Nintendo DS software and also the robot “Pepper”.

He advanced his research on ego under the supervision of Dr. Edgar H. Schein, Professor Emeritus at the MIT Slone School of Management in 2003. He then was engaged in a bio-robotics research at Stanford University as a visiting scientist. He also conducted a research on brain emotional activity at the NICT President’s Fund upon returning to Japan.

In 2009, he Joined Yamada/Delaunay’s Laboratory at Graduate School of Engineering, the University of Tokyo as a Part-time Lecturer and supported ST researches and experiments. During 2009 and 2010, he was a Chief Researcher (visiting) at Keio University.

In 2014, he became a Project Assistant Professor at “Verbal Analysis of Pathophysiology” in Graduate School of Medicine, the University of Tokyo, where he made some achievements: “The technology to analyze disease from voice” was introduced in the IEEE Website (Disruptive Technologies beyond 2030 in the Data Ecosystems III); he was invited to a WHO seminar under the support of Kanagawa Prefecture; also his technology was adopted by JAXA for a space experiment at their space station, as well as at suicide prevention call centers in two states of the United States.

Since November 2017, he has continued his work at “Mathematical Engineering of Morality Emotions” in the Department of Bioengineering, Graduate School of Engineering at the University of Tokyo as a Project Associate Professor. He is currently working on several collaborative researches such as “Computer of neural model with plasticity” and “Artificial ego”, “The principle of emergence from the reverse Riemann space by anti-Einstein theory by Mitsuyoshi Operator”, “Quantum effect study by Mitsuyoshi Operator in the Nerve”, and also “Mitsuyoshi Operator Execution Processor (Non-Neumann Type)”.

Yuichi Tei

Professor

Ung-il Chung / Yuichi Tei, M.D., Ph.D.
Professor
Department of Bioengineering, Graduate Schools of Engineering and Medicine, The University of Tokyo

The moral engineering mechanism in this program has been presented in the books* of Yuichi Tei.
Shunji Mitsuyoshi is responsible for putting the mechanism into a mathematical engineering model.

  • * Diversity and Morality: Crossing Borders with Engineering Approach (Kindle: Amazon Services International, Inc./Book: BookLab, 2017).
  • * Dotoku no Mekanizumu (Mechanism of Morality), KK Bestsellers, 2013 [in Japanese].

Dr. Chung graduated from University of Tokyo School of Medicine to obtain MD in 1989. After working as a Resident and Clinical Fellow in Internal Medicine at University of Tokyo Hospital, he entered and graduated from University of Tokyo Graduate School of Medicine to obtain PhD in 1997. During the period at graduate school, he joined as a Research Fellow Endocrine Unit at Massachusetts General Hospital & Harvard Medical School, Boston, MA in 1995. In 1998, he was appointed Instructor in Medicine, Harvard Medical School, and then in 2001 Assistant Professor of Medicine. In 2002, he came back to his alma mater, worked at Graduate Schools of Medicine and Engineering. Since 2007, he is holding his current position.

He attempts to clarify the mechanism and origin of morality and to create devices to measure and visualize morality levels using voice recognition system. He also tries to install the morality engine on artificial intelligence and robots.

Kosuke Tomonaga, Ph.D.

Collaborative Researcher

Kosuke Tomonaga, Ph.D.
Collaborative Researcher
Department of Bioengineering, Graduate School of Engineering, The University of Tokyo / SoftBank Robotics Corp.

2016 - SoftBank Robotics Corp.
2006 - SoftBank BB Corp.
(SoftBank BB Corp. changed its name to SoftBank Corp. after being merged by SoftBank Mobile Corp. in 2015)

He received his PhD from Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University.

Specialty: Engineering

Nobuhito Manome, Ph.D.

Collaborative Researcher

Nobuhito Manome, Ph.D.
Collaborative Researcher
Department of Bioengineering, Graduate School of Engineering, The University of Tokyo / SoftBank Robotics Corp.

2017 - SoftBank Corp. and SoftBank Robotics Corp.
Collaborative Researcher at Graduate School of Engineering, The University of Tokyo

Specialty: Cognitive science, Neuroscience

Takeo Harada

Collaborative Researcher

Takeo HARADA
Collaborative Researcher
Department of Bioengineering, Graduate School of Engineering, The University of Tokyo

1990
 - University of Tokyo, Major: Public Law

1993
 - Ministry of Foreign Affairs of Japan
  - Second Division for International Organization, Economic Affairs Bureau (1993-1994)
  - Embassy of Japan in Germany (1994-1996)
  - Deputy Director, Management and Coordination Division, Foreign Minister’s Secretariat (2001-2003)
  - Deputy Director, Northeast Asia Division, Asian and Oceanian Affairs Bureau (2003-2005)

2007
 - CEO, Institute for International Strategy and Information Analysis, Inc. (IISIA)

2017
 - Has been qualified officially as a regular member of ICC G20 CEO Advisory Group since July 2017.

2021
 - Acquired a master of degree at Kyoto Sangyo University (in Kyoto Studies)
  - Acquired a master of degree at the School of Graduate Studies of the Open University (in Humanities).
  - Appointed as an adjunct lecturer in a specialized seminar (seminar of self‐chosen for first and second grader) of the University of Tokyo on information literacy in 2006 and 2021
  -Has been accepted as a member of the Japanese Society for Artificial Intelligence in May.

    

2022
 - Offer lectures on Diplomat and International courtesy as adjunct lecturer at Gakushuin Women’s College.
  -Has been accepted as a member of the Association for Natural Language Processing in May.


Specialty:
Global Governance, Global Macro, Domestic Politics, Artificial Intelligence (AI), Constitutional Law, Digital Transformation (DX)

Researchers

Researchers

Hiroshi Okamoto, Ph. D.
Project Researcher

Specialty: Theoretical Physicist and Computational Neuroscientist

Research interests: Network science - community detection, temporal networks, multiplex networks, network neuroscience; probabilistic machine learning theory; computational neuroscience – neural mechanisms of interval timing, working memory and decision

Marina Takahashi
Project Academic Support Specialist

Doctor Course

Takeshi Takano

CONTACT

The Social Cooperation Program:
Mathematical Engineering of Morality Emotions

7-3-1 Hongo, Bunkyo-ku, Tokyo 1138656 Japan

E-mail:meome@coi.t.u-tokyo.ac.jp