Research outputs
2026
Investigating the analytical robustness of the social and behavioural sciences
Aczel, B., Szaszi, B., Clelland, H. T., Kovacs, M., Holzmeister, F., van Ravenzwaaij, D., . . . Nosek, B. A. (2026). Investigating the analytical robustness of the social and behavioural sciences. Nature, 652(8108), 135-142. doi:10.1038/s41586-025-09844-9
All illusions are wrong, but some are useful
2025
High-value decisions are made quickly, with no consistent effect on accuracy
Pirrone, A., Sala, G., & Evans, N. J. (2025). High-value decisions are made quickly, with no consistent effect on accuracy. PNAS Nexus, 4(12). doi:10.1093/pnasnexus/pgaf363
2023
On the trajectory of discrimination: A meta-analysis and forecasting survey capturing 44 years of field experiments on gender and hiring decisions
Schaerer, M., du Plessis, C., Nguyen, M. H. B., van Aert, R. C. M., Tiokhin, L., Lakens, D., . . . Luis Uhlmann, E. (2023). On the trajectory of discrimination: A meta-analysis and forecasting survey capturing 44 years of field experiments on gender and hiring decisions. Organizational Behavior and Human Decision Processes, 179, 104280. doi:10.1016/j.obhdp.2023.104280
Competition and moral behavior: A meta-analysis of forty-five crowd-sourced experimental designs
Huber, C., Dreber, A., Huber, J., Johannesson, M., Kirchler, M., Weitzel, U., . . . Holzmeister, F. (2023). Competition and moral behavior: A meta-analysis of forty-five crowd-sourced experimental designs. Proceedings of the National Academy of Sciences, 120(23). doi:10.1073/pnas.2215572120
Toward an Atlas of Canonical Cognitive Mechanisms
Pirrone, A., & Tsetsos, K. (2023). Toward an Atlas of Canonical Cognitive Mechanisms. Cognitive Science, 47(2). doi:10.1111/cogs.13243
Computational Scientific Discovery in Psychology
Bartlett, L. K., Pirrone, A., Javed, N., & Gobet, F. (2023). Computational Scientific Discovery in Psychology. Perspectives on Psychological Science, 18(1), 178-189. doi:10.1177/17456916221091833
Evolving Time-Dependent Cognitive Models
Lane, P., Javed, N., Pirrone, A., Bartlett, L., & Gobet, F. (2023). Evolving Time-Dependent Cognitive Models. In Proceedings of the Aisb Convention 2023 (pp. 64-66).
Heuristic Search of Heuristics
Pirrone, A., Lane, P. C. R., Bartlett, L., Javed, N., & Gobet, F. (2023). Heuristic Search of Heuristics. In Lecture Notes in Computer Science (pp. 407-420). Springer Nature Switzerland. doi:10.1007/978-3-031-47994-6_36
Trust in Cognitive Models: Understandability and Computational Reliabilism
Javed, N., Pirrone, A., Bartlett, L., Lane, P., & Gobet, F. (2023). Trust in Cognitive Models: Understandability and Computational Reliabilism. In Proceedings of the Aisb Convention 2023 (pp. 43-50).
2022
Magnitude-sensitive reaction times reveal non-linear time costs in multi-alternative decision-making
Marshall, J. A. R., Reina, A., Hay, C., Dussutour, A., & Pirrone, A. (2022). Magnitude-sensitive reaction times reveal non-linear time costs in multi-alternative decision-making. PLOS Computational Biology, 18(10), e1010523. doi:10.1371/journal.pcbi.1010523
The privacy and control paradoxes in the context of smartphone apps
Ayres-Pereira, V., Pirrone, A., Korbmacher, M., Tjostheim, I., & Böhm, G. (2022). The privacy and control paradoxes in the context of smartphone apps. Frontiers in Computer Science, 4. doi:10.3389/fcomp.2022.986138
On multiple sources of value sensitivity
Pirrone, A., & Tsetsos, K. (2022). On multiple sources of value sensitivity. Proceedings of the National Academy of Sciences, 119(36). doi:10.1073/pnas.2207053119
Examining the generalizability of research findings from archival data
Delios, A., Clemente, E. G., Wu, T., Tan, H., Wang, Y., Gordon, M., . . . Zultan, R. (2022). Examining the generalizability of research findings from archival data. Proceedings of the National Academy of Sciences, 119(30). doi:10.1073/pnas.2120377119
GEMS: GENETICALLY EVOLVING MODELS IN SCIENCE
Pirrone, A., & Gobet, F. (2022). GEMS: GENETICALLY EVOLVING MODELS IN SCIENCE. Sistemi Intelligenti, 34(1), 107-115. doi:10.1422/101896
Magnitude-sensitivity: rethinking decision-making
Pirrone, A., Reina, A., Stafford, T., Marshall, J. A. R., & Gobet, F. (2022). Magnitude-sensitivity: rethinking decision-making. Trends in Cognitive Sciences, 26(1), 66-80. doi:10.1016/j.tics.2021.10.006
2021
The illusion of absence: how a common feature of magic shows can explain a class of road accidents
Ekroll, V., Svalebjørg, M., Pirrone, A., Böhm, G., Jentschke, S., van Lier, R., . . . Høye, A. (2021). The illusion of absence: how a common feature of magic shows can explain a class of road accidents. Cognitive Research: Principles and Implications, 6(1). doi:10.1186/s41235-021-00287-0
Input-dependent noise can explain magnitude-sensitivity in optimal value-based decision-making
Pirrone, A., Reina, A., & Gobet, F. (2021). Input-dependent noise can explain magnitude-sensitivity in optimal value-based decision-making. Judgment and Decision Making, 16(5), 1221-1233. doi:10.1017/s1930297500008408
The Beginning of a New Era
Rothen, N., Burtscher, M., Gobet, F., Mantzouranis, G., Mayor, J., Pirrone, A., . . . Rossier, J. (2021). The Beginning of a New Era. Swiss Psychology Open, 1(1). doi:10.5334/spo.27
Magnitude-sensitive reaction times reveal non-linear time costs in multi-alternative decision-making
Is attentional discounting in value-based decision making magnitude sensitive?
Pirrone, A., & Gobet, F. (2021). Is attentional discounting in value-based decision making magnitude sensitive?. Journal of Cognitive Psychology, 33(3), 327-336. doi:10.1080/20445911.2021.1890091
2020
Modeling Value-Based Decision-Making Policies Using Genetic Programming
Pirrone, A., & Gobet, F. (2020). Modeling Value-Based Decision-Making Policies Using Genetic Programming. Swiss Journal of Psychology, 79(3-4), 113-121. doi:10.1024/1421-0185/a000241
Quantifying the benefits of using decision models with response time and accuracy data
Stafford, T., Pirrone, A., Croucher, M., & Krystalli, A. (2020). Quantifying the benefits of using decision models with response time and accuracy data. Behavior Research Methods, 52(5), 2142-2155. doi:10.3758/s13428-020-01372-w
A diffusion model decomposition of orientation discrimination in children with Autism Spectrum Disorder (ASD)
Pirrone, A., Johnson, I., Stafford, T., & Milne, E. (2020). A diffusion model decomposition of orientation discrimination in children with Autism Spectrum Disorder (ASD). European Journal of Developmental Psychology, 17(2), 213-230. doi:10.1080/17405629.2018.1561364
Comparison of magnitude-sensitive sequential sampling models in a simulation-based study
Bose, T., Pirrone, A., Reina, A., & Marshall, J. A. R. (2020). Comparison of magnitude-sensitive sequential sampling models in a simulation-based study. Journal of Mathematical Psychology, 94, 102298. doi:10.1016/j.jmp.2019.102298
2019
Quantifying the benefits of using decision models with response time and accuracy data
Single-trial dynamics explain magnitude sensitive decision making
Pirrone, A., Wen, W., & Li, S. (2018). Single-trial dynamics explain magnitude sensitive decision making. BMC Neuroscience, 19(1). doi:10.1186/s12868-018-0457-5
2018
Autistic Traits in the Neurotypical Population do not Predict Increased Response Conservativeness in Perceptual Decision Making
Pirrone, A., Wen, W., Li, S., Baker, D. H., & Milne, E. (2018). Autistic Traits in the Neurotypical Population do not Predict Increased Response Conservativeness in Perceptual Decision Making. Perception, 47(10-11), 1081-1096. doi:10.1177/0301006618802689
Evidence for the speed–value trade-off: Human and monkey decision making is magnitude sensitive.
Pirrone, A., Azab, H., Hayden, B. Y., Stafford, T., & Marshall, J. A. R. (2018). Evidence for the speed–value trade-off: Human and monkey decision making is magnitude sensitive.. Decision, 5(2), 129-142. doi:10.1037/dec0000075
2017
A drift diffusion model account of the semantic congruity effect in a classification paradigm
Pirrone, A., Marshall, J. A. R., & Stafford, T. (2017). A drift diffusion model account of the semantic congruity effect in a classification paradigm. Journal of Numerical Cognition, 3(1), 77-96. doi:10.5964/jnc.v3i1.79
Understanding perceptual judgment in autism spectrum disorder using the drift diffusion model.
Pirrone, A., Dickinson, A., Gomez, R., Stafford, T., & Milne, E. (2017). Understanding perceptual judgment in autism spectrum disorder using the drift diffusion model.. Neuropsychology, 31(2), 173-180. doi:10.1037/neu0000320
A computational decomposition of task-irrelevant perceptual learning
Pirrone, A., & Stafford, T. (2017). A computational decomposition of task-irrelevant perceptual learning. In Cogsci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science Society Computational Foundations of Cognition (pp. 955-960).
2016
Dissociable effects of cue validity on bias formation and reversal
Pirrone, A., Zhang, Q., & Li, S. (2016). Dissociable effects of cue validity on bias formation and reversal. In Proceedings of the 38th Annual Meeting of the Cognitive Science Society Cogsci 2016 (pp. 117-122).
2014
When natural selection should optimize speed-accuracy trade-offs
Pirrone, A., Stafford, T., & Marshall, J. A. R. (2014). When natural selection should optimize speed-accuracy trade-offs. Frontiers in Neuroscience, 8. doi:10.3389/fnins.2014.00073