Education
- 2020 – 2024. PhD student, Department of Behavioral Science, Graduate School of Humanities and Human Science, Hokkaido University, Japan
- 2018 – 2020. MA in Arts, Department of Behavioral Science, Hokkaido University, Japan
- 2014 – 2018. BA in Arts, Faculty of Humanities and Human Science, Hokkaido University, Japan
Publications
- Homma, S. & Takezawa, M. (2024) Risk preference as an outcome of evolutionarily adaptive learning mechanisms: An evolutionary simulation under diverse risky environments. PLoS ONE 19(8): e0307991. https://doi.org/10.1371/journal.pone.0307991
Presentations
- Homma, S. & Takezawa, M. (2022). Adaptive reinforcement learning under an environment where risk and volatility exist: The investigation by the evolutionary simulation. 15th Annual Conference of Human Behavior and Evolution Society Japan, Sapporo, Japan, December.
- Homma, S. & Takezawa, M. (2022). Adaptive learning under risk and volatility: The simulation study of evolution of reinforcement learning. 63rd Annual Conference of the Japanese Society of Social Psychology, Kyoto, Japan, September.
- Homma, S., Yamagata, T., Ogawa, K., Taguchi, S. & Takezawa, M. (2021). Does the superposition mechanism of self and other exist in the brain?: The interdisciplinary approach of phenomenology and cognitive neuroscience. 14th Annual Conference of Human Behavior and Evolution Society Japan, Web, Japan, December.
- Homma, S., Yamagata, T., Ogawa, K., Taguchi, S. & Takezawa, M. (2021). Is superposition mechanism of self and other represented in the brain?: The interdisciplinary investigation by the collaboration of phenomenology and brain functional imaging methods. 62nd Annual Conference of the Japanese Society of Social Psychology, Web, Japan, August.
- Homma, S. & Takezawa, M. (2019). Risk aversion and prosocial preferences: Considering adaptive mechanisms to deal with highly uncertain environments. 14th Annual Conference of the European Human Behavior and Evolution Association, Toulouse, France, April.
and other 6 presentations
Research Grants