Naoto Yoshida

Ph.D. student, Graduate School of Information Science and Technology, The University of Tokyo
Email: n-yoshida [AT] isi.imi.i.u-tokyo.ac.jp

My focus of the interest is the development of the adaptive autonomous agent which survive in the various environment. Survival is a fundamental problem of biological autonomous agents, including human beings. Therefore, the treatment of survival as the research topic is not only in the cognitive-developmental robotics, but also lay among broad fields like animal behavior, control theory, neuroscience, nutrient science, psychology, and philosophy. In this Ph.D. studentship, I will focus on the deep predictive processing agent that is composed of deep generative models and planning process. In particular, I will extend previous methods to treat interoceptive signals to control the behavior. I am going to explore the possibility of the use of our model in the field of computational psychiatry through the analysis of the model.

Career

Career Experience

September 2020 – present Internship Student, International Research Center for Neurointelligence, The University of Tokyo
October 2016 – May 2020 Research Engineer, Behavior Design, GROOVE X
June 2016 – September 2016 Internship, GROOVE X
April 2016 – May 2016 Internship, Preferred Networks

Education

September 2020 – present Ph.D. student, Graduate School of Information Science and Technology, The University of Tokyo
March 2012 M.S., Graduate School of Information Science, Nara Institute of Science and Technology

Awards

  • WBAI Incentive Award of Whole Brain Architecture Initiative (2019)
  • Student Travel Award of the Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (2013)
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