Interest 研究の関心

• 人間の行動や認知能力の起源・獲得・機能などに関心を持ち、認知科学・社会心理学・人工生命・行動生態学などの領域をまたいだ研究をしています。

• 「ヒトらしい学習・教育とは何か」「そのような学習・教育能力を持ったヒトが生み出す社会・文化進化」に関心を持っています。

• 1. 教育は技術の累積的文化進化を促進するか？

     • keywords: Cumulative cultural evolution, Teaching, Innovation, Fidelity, Reinforcement learning

     • Nakata, S. & Takezawa, M. (2023). Conditions under which faithful cultural transmission through teaching promotes cumulative cultural evolution. Scientific Reports, 13, 20986. https://doi.org/10.1038/s41598-023-47018-7

     • 中田星矢・竹澤正哲 (2023). 教育と累積的文化進化――計算論モデルによるマイクロ―マクロ・ダイナミクスの検討（第7章）.安藤寿康　編. 教育の起源を探る：進化と文化の視点から. ちとせプレス. Link

  2. 言語などのヒト文化に見られる構造を文化進化させる要因は何か？

     • keywords: Communication, Cultural transmission, Emergence, Hierarchy, Iterated learning, Word order rule

     • Nakata, S. & Takezawa, M. (2023). Hierarchical structures emerge from the cultural selection of learnability for many individuals: Iterated learning experiment using non-linguistic task. Frontiers in Artificial Intelligence. 6:1221329. https://doi.org/10.3389/frai.2023.1221329

     • Nakata, S., Ohira, A. & Takezawa, M. (2022). Evolution of the Word Order Rules Through Communication and Cultural Transmission: An Iterated Learning Experiment. In Ravignani, A., Asano, R., Valente, D., Ferretti, F., Hartmann, S., Hayashi, M., Jadoul, Y., Martins, M., Oseki, Y., Rodrigues, E. D., Vasileva, O. & Wacewicz, S. (Eds.): Proceedings of the Joint Conference on Language Evolution (JCoLE). doi:10.17617/2.3398549 (link)

     • Nakata, S., Mori, M., & Takezawa, M. (2020). Roles of cultural transmission in the emergence of hierarchical structures: Laboratory studies using the iterated learning paradigm. Proceedings of the Twenty-Fifth International Symposium on Artificial Life and Robotics. 1002 - 1006.

  3. 名声バイアスの進化と名声バイアスが生み出す文化進化

     • keywords: Cultural evolution, Prestige, Social learning

     • Nakata, S., Masumi, A., Toya G. (2024). Formalising prestige bias: Differences between models with first-order and second-order cues. Evolutionary Human Sciences. 2024;6:e21. https://doi.org/10.1017/ehs.2024.12

  4. 予測的処理から見たヒトの社会性

     • keywords: Predictive processing, Bayesian learning, Coordination, Cognitive development, Mentalizing, Theory of mind

     • Nakata, S. & Nagai, Y. (2024), Which pairs coordinate and which do not?. Proceedings of the 46th Annual Meeting of the Cognitive Science Society. (accepted)

Skills

• Lab experiments (Adults and Children):

  • Behavioral Experiment: oTree (Python + HTML5 + JavaScript), Visual Basic

  • Subjects Management: Sona sytems

• Computational model:

  • Agent based simulation, Reinforcement learning, Bayesian inference, Complex network: Python, R

• Data analysis:

  • GLMM, Heirarchical Bayesian model: Python, R