ZiF Research Group
Cognitive Behavior of Humans, Animals, and Machines:
Situation Model Perspectives
October 2019 – July 2020
Convenors: Werner Schneider (Bielefeld, GER), Helge Ritter (Bielefeld, GER)
Yukie Nagai received her Ph.D. in Engineering from Osaka University in 2004. She was a Post-Doctoral Researcher with the National Institute of Information and Communications Technology (NICT) from 2004 to 2006, and with Bielefeld University from 2006 to 2009. She then became a Specially Appointed Associate Professor with Osaka University in 2009 and a Senior Researcher with NICT in 2017. Since April 2019, she is a Project Professor with the University of Tokyo. She is also the research director of JST CREST Cognitive Mirroring since December 2016.
Current Main Research Interests
Dr. Yukie Nagai has been investigating underlying neural mechanisms for social cognitive development by means of computational approach. She designs neural network models for robots to learn to acquire cognitive functions such as self-other cognition, estimation of others' intention and emotion, altruism, and so on based on her theory of predictive learning. The simulator reproducing atypical perception in autism spectrum disorder (ASD), which has been developed by her group, greatly impacts on the society as it enables people with and without ASD to better understand potential causes for social difficulties.
Five selected publications with particular relevance to the Research Group
- Nagai, Y. (2019). Predictive learning: its key role in early cognitive development. Philosophical Transactions of the Royal Society B: Biological Sciences, 374, 20180030.
- Horii, T., Nagai, Y., & Asada, M. (2018). Modeling development of multimodal emotion perception guided by tactile dominance and perceptual improvement. IEEE Transactions on Cognitive and Developmental Systems, 10, 762-775.
- Baraglia, J., Nagai, Y., & Asada, M. (2016). Emergence of altruistic behavior through the minimization of prediction error. IEEE Transactions on Cognitive and Developmental Systems, 8, 141-151.
- Nagai, Y. & Rohlfing, K. J. (2009). Computational analysis of motionese toward scaffolding robot action learning. IEEE Transactions on Autonomous Mental Development, 1, 44-54.
- Nagai, Y., Hosoda, K., Morita, A., & Asada, M. (2003). A constructive model for the development of joint attention. Connection Science, 15, 211-229.