Adaptive Behavior and Cognition - Publications

Ehrig, T., Katsikopoulos, K. V., Jost, J., & Gigerenzer, G. (2021). An exploratory study of heuristics for anticipating prices. Management Decision, 59(7), 1750–1761. https://doi.org/10.1108/MD-05-2021-0619

Brighton, H. J. (2020). Statistical foundations of ecological rationality. Economics, 14, Article 2020-2. https://doi.org/10.5018/economics-ejournal.ja.2020-2

Filimon, F., Nelson, J. D., Sejnowski, T. J., Sereno, M. I., & Cottrell, G. W. (2020). The ventral striatum dissociates information expectation, reward anticipation, and reward receipt. Proceedings of the National Academy of Sciences of the United States of America, 117(26), 15200–15208. https://doi.org/10.1073/pnas.1911778117

Taylor, N., Hofer, M., & Nelson, J. D. (2020). The paradox of help seeking in the entropy mastermind game. Frontiers in Education, 5, Article 533998. https://doi.org/10.3389/feduc.2020.533998

Zao, H., Thrash, T., Grossrieder, A., Kapadia, M., Moussaïd, M., Hölscher, C., & Schinazi, V. R. (2020). The interaction between map complexity and crowd movement on navigation decisions in virtual reality. Royal Society Open Science, 7(3), Article 191523. https://doi.org/10.1098/rsos.191523

Davidovic, S., Kothiyal, A., Galesic, M., Katsikopoulos, K., & Arinaminpathy, N. (2019). Liquidity hoarding in financial networks: The role of structural uncertainty. Complexity, 2019, Article 8436505. https://doi.org/10.1155/2019/8436505

Fechner, H. B., Pachur, T., & Schooler, L. J. (2019). How does aging impact decision making? The contribution of cognitive decline and strategic compensation revealed in a cognitive architecture. Journal of Experimental Psychology: Learning, Memory, and Cognition, 45(9), 1634–1663. https://doi.org/10.1037/xlm0000661

McDowell, M. E., Gigerenzer, G., Wegwarth, O., & Rebitschek, F. G. (2019). Effect of tabular and icon fact box formats on comprehension of benefits and harms of prostate cancer screening: A randomized trial. Medical Decision Making, 39(1), 41–56. https://doi.org/10.1177/0272989X18818166

Meder, B., Fleischhut, N., Krumnau, N.-C., & Waldmann, M. R. (2019). How should autonomous cars drive? A preference for defaults in moral judgments under risk and uncertainty. Risk Analysis, 39(2), 295–314. https://doi.org/10.1111/risa.13178

Chater, N., Felin, T., Funder, D. C., Gigerenzer, G., Koenderink, J. J., Krueger, J. I. I., Noble, D., Nordli, S. A., Oaksford, M., Schwartz, B., Stanovich, K. E., & Todd, P. M. (2018). Mind, rationality, and cognition: An interdisciplinary debate. Psychonomic Bulletin & Review, 25(2), 793–826. https://doi.org/10.3758/s13423-017-1333-5

Crupi, V., Nelson, J. D., Meder, B., Cevolani, G., & Tentori, K. (2018). Generalized information theory meets human cognition: Introducing a unified framework to model uncertainty and information search. Cognitive Science, 42(5), 1410–1456. https://doi.org/10.1111/cogs.12613

Fechner, H. B., Schooler, L. J., & Pachur, T. (2018). Cognitive costs of decision-making strategies: A resource demand decomposition with a cognitive architecture. Cognition, 170, 102–122. https://doi.org/10.1016/j.cognition.2017.09.003

Gaissmaier, W., Giese, H., Galesic, M., Garcia-Retamero, R., Kasper, J., Kleiter, I., Meuth, S. G., Köpke, S., & Heesen, C. (2018). Numeracy of multiple sclerosis patients: A comparison of patients from the PERCEPT study to a German probabilistic sample. Patient Education and Counseling, 101(1), 74–78. https://doi.org/10.1016/j.pec.2017.07.018

Galesic, M., Barkoczi, D., & Katsikopoulos, K. V. (2018). Smaller crowds outperform larger crowds and individuals in realistic task conditions. Decision, 5(1), 1–15. https://doi.org/10.1037/dec0000059

Galesic, M., Olsson, H., & Rieskamp, J. (2018). A sampling model of social judgment. Psychological Review, 125(3), 363–390. https://doi.org/10.1037/rev0000096

Galesic, M., Walkyria Goode, A., Wallsten, T. S., & Norman, K. L. (2018). Using Tversky's contrast model to investigate how features of similarity affect judgments of likelihood. Judgment and Decision Making, 13(2), 163–169.

Jarecki, J. B., Meder, B., & Nelson, J. D. (2018). Naïve and robust: Class-conditional independence in human classification learning. Cognitive Science, 42(1), 4–42. https://doi.org/10.1111/cogs.12496

Katsikopoulos, K. V., Durbach, I. N., & Stewart, T. J. (2018). When should we use simple decision models? A synthesis of various research strands. Omega, 81, 17–25. https://doi.org/10.1016/j.omega.2017.09.005

l'Haridon, O., Vieider, F. M., Aycinena, D., Bandur, A., Belianin, A., Cingl, L., Kothiyal, A., & Martinsson, P. (2018). Off the charts: Massive unexplained heterogeneity in a global study of ambiguity attitudes. Review of Economics and Statistics, 100(4), 664–677. https://doi.org/10.1162/rest_a_00724

McDowell, M., Galesic, M., & Gigerenzer, G. (2018). Natural frequencies do foster public understanding of medical tests: Comment on Pighin, Gonzales, Savadori and Girotto (2016). Medical Decision Making, 38(3), 390–399. https://doi.org/10.1177/0272989X18754508