Publications

Suganuma, H., Naito, A., Katahira, K., & Kameda, T. (2024) When to stop social learning from a predecessor in an information-foraging task. Evolutionary Human Sciences. https://doi.org/10.31234/osf.io/9p8tu
Samore, T., Fessler, D. M. T., ..., Naito, A., ..., & Wang, X. (2024) Accordance and conflict between religious and scientific precautions against COVID-19 in 27 societies. Religion, Brain & Behavior. https://doi.org/10.1080/2153599X.2024.2363757
Naito A., Masuda N., & Kameda T. (2024) Collective Intelligence Under a Volatile Task Environment: a Behavioral Experiment Using Social Networks and Computer Simulations. Interdisciplinary Information Sciences, 30(1), 1-12. https://doi.org/10.4036/iis.2023.R.03

Samore, T., Fessler, D. M. T., ..., Naito, A., ..., & Wang, X. (2023) Grater traditionalism predicts COVID-19 precautionary behaviors across 27 societies. Scientific Reports, 13, 4969. https://doi.org/10.1038/s41598-023-29655-0

内藤碧・⻲田達也 (2022). 集合的意思決定への実験アプローチ今田高俊(編著) 数理社会学事典丸善出版
内藤碧・亀田達也 (2022). 集合知を支える社会学習過程の合理的基礎認知科学, 29(3), 354-363. https://doi.org/10.11225/cs.2022.032
Naito, A., Katahira, K., & Kameda, T. (2022) Insights about the common generative rule underlying an information foraging task can be facilitated via collective search. Scientific Reports, 12, 8047. https://doi.org/10.1038/s41598-022-12126-3 [ポスター資料]

Naito A., Masuda N., & Kameda T. (2019) Social Network and Collective Intelligence Under Non-stationary Uncertain Environment. In: Lintas A., Enrico P., Pan X., Wang R., & Villa A. (eds) Advances in Cognitive Neurodynamics (VII). ICCN2019. Advances in Cognitive Neurodynamics. Springer, Singapore. https://doi.org/10.1007/978-981-16-0317-4_36