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Fuławka, K., & Pachur, T. (2022). An affective probability weighting function for risky choice with nonmonetary outcomes. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, pp. 1025–1032). Retrieved from https://escholarship.org/uc/item/5bg7f816.

Hecht, M., Pachur, T., & Schulze, C. (2022). Does social sampling differ between online and offline contacts? A computational modeling analysis. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, pp. 319–325). Retrieved from https://escholarship.org/uc/item/0c161487.

Mohnert, F., Pachur, T., & Lieder, F. (2019). What's in the adaptive toolbox and how do people choose from it? Rational models of strategy selection in risky choice. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 2378–2384). Cognitive Science Society.

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Dai, J., Pleskac, T. J., & Pachur, T. (2017). A dynamic tradeoff model of intertemporal choice. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), CogSci 2017: Proceedings of the 39th Annual Meeting of the Cognitive Science Society (pp. 265–270). Cognitive Science Society.

Leuker, C., Pleskac, T. J., Pachur, T., & Hertwig, R. (2017). How the mind exploits risk-reward structures in decisions under risk. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), CogSci 2017: Proceedings of the 39th Annual Meeting of the Cognitive Science Society (pp. 2543–2548). Cognitive Science Society.

Schulze, C., Pachur, T., & Hertwig, R. (2017). How does instance-based inference about event frequencies develop? An analysis with a computational process model. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), CogSci 2017: Proceedings of the 39th Annual Meeting Cognitive Science Society (pp. 1053–1058). Cognitive Science Society.

Markant, D., Pleskac, T. J., Diederich, A., Pachur, T., & Hertwig, R. (2015). Modeling choice and search in decisions from experience: A sequential sampling approach. In R. Dale, C. Jennings, P. P. Maglio, T. Matlock, D. C. Noelle, A. Warlaumont, & J. Yoshimi (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp. 1512–1517). Cognitive Science Society.

Pachur, T., & Kellen, D. (2013). Modeling gain-loss asymmetries in risky choice: The critical role of probability weighting. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Cooperative minds: Social interaction and group dynamics. Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 3205–3210). Cognitive Science Society.

Scheibehenne, B., & Pachur, T. (2013). Hierarchical Bayesian modeling: Does it improve parameter stability? In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Cooperative minds: Social interaction and group dynamics. Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 1277–1282). Cognitive Science Society.

Suter, R., Pachur, T., & Hertwig, R. (2013). How does prospect theory reflect heuristics' probability sensitivity in risky choice? In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Cooperative minds: Social interaction and group dynamics. Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 1408–1413). Cognitive Science Society.

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Pachur, T. (2012). [Review of the book Social judgment and decision making by J. I. Krueger (Ed.)]. Journal of Economic Psychology, 33(6), 1266–1268. https://doi.org/10.1016/j.joep.2012.08.002

Bolenz, F., & Pachur, T. (2023). Older adults select different but not simpler strategies than younger adults in risky choice. OSF Preprints, August 15, 2023. https://doi.org/10.31219/osf.io/9vhy8

Garrett, P. M., White, J. P., Luo, Y., Dennis, S., Geard, N., Little, D. R., Mitchell, L., Perfors, A., Tomko, M., Andrighetto, G., Guido, A., Kusumi, T., Hertwig, R., Herzog, S., Kozyreva, A., Lorenz-Spreen, P., Pachur, T., Hsieh, S., Lee, Y.-C., Yang, C.-T., Okan, Y., Andrade, E., Velay, L., Oberauer, K., Goldstone, R., Lewandowsky, S., & Kashima, Y. (2022). COVID-19, national culture, and privacy calculus: Factors predicting the cross-cultural acceptance and uptake of contact-tracing technologies. PsyArXiv, October 13, 2022. https://doi.org/10.31234/osf.io/zeqn7

Kozyreva, A., Lorenz-Spreen, P., Lewandowsky, S., Garrett, P. M., Herzog, S. M., Pachur, T., & Hertwig, R. (2021). Public perceptions of COVID-19 digital contact tracing technologies during the pandemic in Germany. PsyArXiv, April 14, 2021. https://doi.org/10.31234/osf.io/3x4ru