This research field aims to intelligent informatics and artificial intelligence (AI) , which have evolved through deep learning and large-scale language models, by expanding its scope to encompass multifaceted intelligence. This includes human-like judgment, decision-making, reasoning, learning ability, empathy, non-cognitive skills, and creativity. We conduct fundamental research to elucidate the principles and components of wisdom/intelligence that are challenging to quantify and measure. By integrating cutting-edge science and technology, we seek to structure tacit knowledge and real-world intelligence, thereby advancing AI research toward the realization of comprehensive wisdom. Our goal is to establish a methodology for enhancing human wisdom. As key research themes, we will explore: (1) Intelligent processing systems that facilitate dialogue and collaborative work based on models of human emotions and multimodal sensory perception, (2) Empathic social robots that adapt to individual users through multimodal interaction, (3) Next-generation soft robotics platforms capable of recognizing, reproducing, and generating tactile sensations, (4) Automation of scientific research processes through AI and Robotics technologies, (5) Support technologies that foster critical thinking, (6) Innovations that enhance and augment human wisdom and intelligence.

Wisdom Science, Computational Theory of Wisdom, AI for Science, Human-Centered AI, Human-AI Interaction, Knowledge Structuring, Natural Language Processing, Materials Informatics, Soft Robotics, Physical Intelligence, Computer Graphics, Image Generation AI, Human Augmentation, Multimodal Interaction, Social Signal Processing

The long-term research vision of this area is to expand the multifaceted human wisdom intelligence, including human judgment, decision-making, thinking ability, learning ability, empathy, non-cognitive ability, and creativity. To this end, we will further deepen the achievements and technologies of conventional artificial intelligence (AI) research, and by fusing them with the findings of the humanities and social sciences, we will model “wisdom” and acquire the basic knowledge and research methods needed to promote the application of human wisdom augmentation. We will educate students in the basic knowledge needed to elucidate the aspects of human intelligence, design and implement them as computational models, and realize them as robots and systems, with the ultimate goal of enhancing human intelligence. As a fundamental research area, students will acquire knowledge in the following areas: physical simulation, natural language processing, multi-modal interaction processing, knowledge structuring, soft robotics, and human-computer interaction. Furthermore, after acquiring these basic academic disciplines, students will develop problem-setting and problem-solving skills with the aim of realizing “the expansion of human wisdom” through diverse and flexible approaches. Through this education, students will cultivate the skills necessary for advanced scientists and engineers.