Journal Article: Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflict
Fornari, Laura, Ioumpa, Kalliopi, Nostro, Alessandra D., Evans, Nathan J., De Angelis, Lorenzo, Speer, Sebastian P. H., Paracampo, Riccardo, Gallo, Selene, Spezio, Michael, Keysers, Christian and Gazzola, Valeria (2023). Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflict. Nature Communications, 14 (1) 1218, 1-18. doi: 10.1038/s41467-023-36807-3
Journal Article: Using mixture modeling to examine differences in perceptual decision-making as a function of the time and method of participant recruitment
Ballard, Timothy, Evans, Nathan J., Fisher, Gina and Sewell, David K. (2023). Using mixture modeling to examine differences in perceptual decision-making as a function of the time and method of participant recruitment. Behavior Research Methods. doi: 10.3758/s13428-023-02142-0
Journal Article: Numerical approximation of the first-passage time distribution of time-varying diffusion decision models: A mesh-free approach
Rasanan, Amir Hosein Hadian, Evans, Nathan J., Rieskamp, Jörg and Rad, Jamal Amani (2023). Numerical approximation of the first-passage time distribution of time-varying diffusion decision models: A mesh-free approach. Engineering Analysis with Boundary Elements, 151, 227-243. doi: 10.1016/j.enganabound.2023.03.005
Modelling distributed multi-agent decision making: Phase 4
(2021–2022) Commonwealth Defence Science and Technology Group
Beyond Response Time and Choice: Understanding Changes of Mind in Decisions
(2020–2023) ARC Discovery Early Career Researcher Award
Beyond Response Time and Choice: Understanding Changes of Mind in Decisions
The project aims to provide novel experimental insight into how people change their minds during decisions, through identifying the cognitive architecture that reflects the behaviour that we observe from people. The project provides a substantially deeper understanding of the cognitive decision process and how it changes over time, as opposed to previous research focusing on only the final response that people make. The expected outcome is a comprehensive understanding of the human decision process through cognitive models that provide an accurate reflection of this mental process.
Note that there is a UQ earmarked PhD scholarship available for this project.
Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflict
Fornari, Laura, Ioumpa, Kalliopi, Nostro, Alessandra D., Evans, Nathan J., De Angelis, Lorenzo, Speer, Sebastian P. H., Paracampo, Riccardo, Gallo, Selene, Spezio, Michael, Keysers, Christian and Gazzola, Valeria (2023). Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflict. Nature Communications, 14 (1) 1218, 1-18. doi: 10.1038/s41467-023-36807-3
Ballard, Timothy, Evans, Nathan J., Fisher, Gina and Sewell, David K. (2023). Using mixture modeling to examine differences in perceptual decision-making as a function of the time and method of participant recruitment. Behavior Research Methods. doi: 10.3758/s13428-023-02142-0
Rasanan, Amir Hosein Hadian, Evans, Nathan J., Rieskamp, Jörg and Rad, Jamal Amani (2023). Numerical approximation of the first-passage time distribution of time-varying diffusion decision models: A mesh-free approach. Engineering Analysis with Boundary Elements, 151, 227-243. doi: 10.1016/j.enganabound.2023.03.005
Manning, Catherine, Hassall, Cameron D., Hunt, Laurence T., Norcia, Anthony M., Wagenmakers, Eric-Jan, Evans, Nathan J. and Scerif, Gaia (2022). Behavioural and neural indices of perceptual decision-making in autistic children during visual motion tasks. Scientific Reports, 12 (1) 6072, 1-19. doi: 10.1038/s41598-022-09885-4
Stefan, Angelika M., Schönbrodt, Felix D., Evans, Nathan J. and Wagenmakers, Eric-Jan (2022). Efficiency in sequential testing: comparing the sequential probability ratio test and the sequential Bayes factor test. Behavior Research Methods, 54 (6), 1-18. doi: 10.3758/s13428-021-01754-8
Manning, Catherine, Hassall, Cameron D., Hunt, Laurence T., Norcia, Anthony M., Wagenmakers, Eric-Jan, Snowling, Margaret J., Scerif, Gaia and Evans, Nathan J. (2022). Visual motion and decision-making in dyslexia: reduced accumulation of sensory evidence and related neural dynamics. The Journal of Neuroscience, 42 (1), 121-134. doi: 10.1523/JNEUROSCI.1232-21.2021
A model-based approach to disentangling facilitation and interference effects in conflict tasks
Evans, Nathan J. and Servant, Mathieu (2022). A model-based approach to disentangling facilitation and interference effects in conflict tasks. Psychological Review, 129 (5), 1183-1209. doi: 10.1037/rev0000357
Crüwell, Sophia and Evans, Nathan J. (2021). Preregistration in diverse contexts: a preregistration template for the application of cognitive models. Royal Society Open Science, 8 (10) 210155, 1-21. doi: 10.1098/rsos.210155
Think fast! The implications of emphasizing urgency in decision-making
Evans, Nathan J. (2021). Think fast! The implications of emphasizing urgency in decision-making. Cognition, 214 104704, 1-16. doi: 10.1016/j.cognition.2021.104704
An integrated theory of deciding and acting
Servant, Mathieu, Logan, Gordon D., Gajdos, Thibault and Evans, Nathan J. (2021). An integrated theory of deciding and acting. Journal of Experimental Psychology: General, 150 (12), 2435-2454. doi: 10.1037/xge0001063
The impact of presentation order on attraction and repulsion effects in decision-making
Evans, Nathan J., Holmes, William R., Dasari, Aneesha and Trueblood, Jennifer S. (2021). The impact of presentation order on attraction and repulsion effects in decision-making. Decision (Washington), 8 (1), 36-54. doi: 10.1037/dec0000144
Urgency, leakage, and the relative nature of information processing in decision-making
Trueblood, Jennifer S., Heathcote, Andrew, Evans, Nathan J. and Holmes, William R. (2021). Urgency, leakage, and the relative nature of information processing in decision-making. Psychological Review, 128 (1), 160-186. doi: 10.1037/rev0000255
The JASP guidelines for conducting and reporting a Bayesian analysis
van Doorn, Johnny, van den Bergh, Don, Bohm, Udo, Dablander, Fabian, Derks, Koen, Draws, Tim, Etz, Alexander, Evans, Nathan J., Gronau, Quentin F., Haaf, Julia M., Hinne, Max, Kucharsky, Simon, Ly, Alexander, Marsman, Maarten, Matzke, Dora, Gupta, Akash R. Komarlu Narendra, Sarafoglou, Alexandra, Stefan, Angelika, Voelkel, Jan G. and Wagenmakers, Eric-Jan (2020). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin and Review, 28 (3), 813-826. doi: 10.3758/s13423-020-01798-5
Evans, Nathan J., Tillman, Gabriel and Wagenmakers, Eric-Jan (2020). Systematic and random sources of variability in perceptual decision-making: comment on Ratcliff, Voskuilen, and McKoon (2018). Psychological Review, 127 (5), 932-944. doi: 10.1037/rev0000192
Practical challenges and methodological flexibility in prior elicitation
Stefan, Angelika M., Evans, Nathan J. and Wagenmakers, Eric-Jan (2020). Practical challenges and methodological flexibility in prior elicitation. Psychological Methods, 27 (2), 177-197. doi: 10.1037/met0000354
Double responding: a new constraint for models of speeded decision making
Evans, Nathan J., Dutilh, Gilles, Wagenmakers, Eric-Jan and van der Maas, Han L.J. (2020). Double responding: a new constraint for models of speeded decision making. Cognitive Psychology, 121 101292, 1-31. doi: 10.1016/j.cogpsych.2020.101292
A broader application of the detection response task to cognitive tasks and online environments
Innes, Reilly J., Evans, Nathan J., Howard, Zachary L., Eidels, Ami and Brown, Scott D. (2020). A broader application of the detection response task to cognitive tasks and online environments. Human Factors, 63 (5), 18720820936800-909. doi: 10.1177/0018720820936800
What factors are most important in finding the best model of a psychological process?
Evans, Nathan (2020). What factors are most important in finding the best model of a psychological process?. Meta-Psychology, 4. doi: 10.15626/mp.2019.2238
A theoretical analysis of the reward rate optimality of collapsing decision criteria
Boehm, Udo, van Maanen, Leendert, Evans, Nathan J., Brown, Scott D. and Wagenmakers, Eric-Jan (2020). A theoretical analysis of the reward rate optimality of collapsing decision criteria. Attention, Perception and Psychophysics, 82 (3), 1520-1534. doi: 10.3758/s13414-019-01806-4
How is multi-tasking different from increased difficulty?
Howard, Zachary L., Evans, Nathan J., Innes, Reilly J., Brown, Scott D. and Eidels, Ami (2020). How is multi-tasking different from increased difficulty?. Psychonomic Bulletin and Review, 27 (5), 937-951. doi: 10.3758/s13423-020-01741-8
Lin, Hause, Saunders, Blair, Friese, Malte, Evans, Nathan J. and Inzlicht, Michael (2020). Strong effort manipulations reduce response caution: a preregistered reinvention of the ego-depletion paradigm. Psychological Science, 31 (5), 531-547. doi: 10.1177/0956797620904990
A parameter recovery assessment of time-variant models of decision-making
Evans, Nathan J., Trueblood, Jennifer S. and Holmes, William R. (2020). A parameter recovery assessment of time-variant models of decision-making. Behavior Research Methods, 52 (1), 193-206. doi: 10.3758/s13428-019-01218-0
The role of passing time in decision-making
Evans, Nathan J., Hawkins, Guy E. and Brown, Scott D. (2020). The role of passing time in decision-making. Journal of Experimental Psychology-Learning Memory and Cognition, 46 (2), 316-326. doi: 10.1037/xlm0000725
A comparison of conflict diffusion models in the flanker task through pseudolikelihood Bayes factors
Evans, Nathan J. and Servant, Mathieu (2020). A comparison of conflict diffusion models in the flanker task through pseudolikelihood Bayes factors. Psychological Review, 127 (1), 114-135. doi: 10.1037/rev0000165
A diffusion model analysis of the effects of aging in the flanker task
Servant, Mathieu and Evans, Nathan J. (2020). A diffusion model analysis of the effects of aging in the flanker task. Psychology and Aging, 35 (6), 831-849. doi: 10.1037/pag0000546
Evidence accumulation models: current limitations and future directions
Evans, Nathan J. and Wagenmakers, Eric-Jan (2020). Evidence accumulation models: current limitations and future directions. Quantitative Methods for Psychology, 16 (2), 73-90. doi: 10.20982/tqmp.16.2.p073
A method, framework, and tutorial for efficiently simulating models of decision-making
Evans, Nathan J. (2019). A method, framework, and tutorial for efficiently simulating models of decision-making. Behavior Research Methods, 51 (5), 2390-2404. doi: 10.3758/s13428-019-01219-z
Hierarchical Bayesian mixture models of processing architectures and stopping rules
Tillman, Gabriel and Evans, Nathan J. (2019). Hierarchical Bayesian mixture models of processing architectures and stopping rules. Journal of Mathematical Psychology, 92. doi: 10.1016/j.jmp.2019.04.005
Assessing theoretical conclusions with blinded inference to investigate a potential inference crisis
Starns, Jeffrey J., Cataldo, Andrea M., Rotello, Caren M., Annis, Jeffrey, Aschenbrenner, Andrew, Bröder, Arndt, Cox, Gregory, Criss, Amy, Curl, Ryan A., Dobbins, Ian G., Dunn, John, Enam, Tasnuva, Evans, Nathan J., Farrell, Simon, Fraundorf, Scott H., Gronlund, Scott D., Heathcote, Andrew, Heck, Daniel W., Hicks, Jason L., Huff, Mark J., Kellen, David, Key, Kylie N., Kilic, Asli, Klauer, Karl Christoph, Kraemer, Kyle R., Leite, Fábio P., Lloyd, Marianne E., Malejka, Simone, Mason, Alice ... Wilson, Jack (2019). Assessing theoretical conclusions with blinded inference to investigate a potential inference crisis. Advances in Methods and Practices in Psychological Science, 2 (4), 335-349. doi: 10.1177/2515245919869583
Robust standards in cognitive science
Crüwell, Sophia, Stefan, Angelika M. and Evans, Nathan J. (2019). Robust standards in cognitive science. Computational Brain and Behavior, 2 (3-4), 255-265. doi: 10.1007/s42113-019-00049-8
Evans, Nathan J. (2019). Assessing the practical differences between model selection methods in inferences about choice response time tasks. Psychonomic Bulletin and Review, 26 (4), 1070-1098. doi: 10.3758/s13423-018-01563-9
Dutilh, Gilles, Annis, Jeffrey, Brown, Scott D., Cassey, Peter, Evans, Nathan J., Grasman, Raoul P. P. P., Hawkins, Guy E., Heathcote, Andrew, Holmes, William R., Krypotos, Angelos-Miltiadis, Kupitz, Colin N., Leite, Fabio P., Lerche, Veronika, Lin, Yi-Shin, Logan, Gordon D., Palmeri, Thomas J., Starns, Jeffrey J., Trueblood, Jennifer S., van Maanen, Leendert, van Ravenzwaaij, Don, Vandekerckhove, Joachim, Visser, Ingmar, Voss, Andreas, White, Corey N., Wiecki, Thomas V., Rieskamp, Joerg and Donkin, Chris (2019). The quality of response time data inference: a blinded, collaborative assessment of the validity of cognitive models. Psychonomic Bulletin and Review, 26 (4), 1051-1069. doi: 10.3758/s13423-017-1417-2
Optimal or not; depends on the task
Evans, Nathan J., Bennett, Aimee J. and Brown, Scott D. (2019). Optimal or not; depends on the task. Psychonomic Bulletin and Review, 26 (3), 1027-1034. doi: 10.3758/s13423-018-1536-4
Evans, Nathan J., Holmes, William R. and Trueblood, Jennifer S. (2019). Response-time data provide critical constraints on dynamic models of multi-alternative, multi-attribute choice. Psychonomic Bulletin and Review, 26 (3), 901-933. doi: 10.3758/s13423-018-1557-z
Theoretically meaningful models can answer clinically relevant questions
Evans, Nathan J. and Wagenmakers, Eric-Jan (2019). Theoretically meaningful models can answer clinically relevant questions. Brain, 142, 1172-1175. doi: 10.1093/brain/awz073
Annis, Jeffrey, Evans, Nathan J., Miller, Brent J. and Palmeri, Thomas J. (2019). Thermodynamic integration and steppingstone sampling methods for estimating Bayes factors: a tutorial. Journal of Mathematical Psychology, 89, 67-86. doi: 10.1016/j.jmp.2019.01.005
Thermodynamic integration via differential evolution: a method for estimating marginal likelihoods
Evans, Nathan J. and Annis, Jeffrey (2019). Thermodynamic integration via differential evolution: a method for estimating marginal likelihoods. Behavior Research Methods, 51 (2), 930-947. doi: 10.3758/s13428-018-1172-y
Evans, Nathan J. and Hawkins, Guy E. (2019). When humans behave like monkeys: feedback delays and extensive practice increase the efficiency of speeded decisions. Cognition, 184, 11-18. doi: 10.1016/j.cognition.2018.11.014
Some evidence for an association between early life adversity and decision urgency
Knowles, Johanne P., Evans, Nathan J. and Burke, Darren (2019). Some evidence for an association between early life adversity and decision urgency. Frontiers in Psychology, 10. doi: 10.3389/fpsyg.2019.00243
Evans, Nathan J., Steyvers, Mark and Brown, Scott D. (2018). Modeling the covariance structure of complex datasets using cognitive models: an application to individual differences and the heritability of cognitive ability. Cognitive Science, 42 (6), 1925-1944. doi: 10.1111/cogs.12627
Evans, Nathan J., Brown, Scott D., Mewhort, Douglas J. K. and Heathcote, Andrew (2018). Refining the law of practice. Psychological Review, 125 (4), 592-605. doi: 10.1037/rev0000105
Bayes factors for the linear ballistic accumulator model of decision-making
Evans, Nathan J. and Brown, Scott D. (2018). Bayes factors for the linear ballistic accumulator model of decision-making. Behavior Research Methods, 50 (2), 589-603. doi: 10.3758/s13428-017-0887-5
Evans, Nathan J., Hawkins, Guy E., Boehm, Udo, Wagenmakers, Eric-Jan and Brown, Scott D. (2017). The computations that support simple decision-making: A comparison between the diffusion and urgency-gating models. Scientific Reports, 7 (1) 16433. doi: 10.1038/s41598-017-16694-7
Need for closure is associated with urgency in perceptual decision-making
Evans, Nathan J., Rae, Babette, Bushmakin, Maxim, Rubin, Mark and Brown, Scott D. (2017). Need for closure is associated with urgency in perceptual decision-making. Memory and Cognition, 45 (7), 1193-1205. doi: 10.3758/s13421-017-0718-z
Model flexibility analysis does not measure the persuasiveness of a fit
Evans, Nathan J., Howard, Zachary L., Heathcote, Andrew and Brown, Scott D. (2017). Model flexibility analysis does not measure the persuasiveness of a fit. Psychological Review, 124 (3), 339-345. doi: 10.1037/rev0000057
People adopt optimal policies in simple decision-making, after practice and guidance
Evans, Nathan J. and Brown, Scott D. (2017). People adopt optimal policies in simple decision-making, after practice and guidance. Psychonomic Bulletin and Review, 24 (2), 597-606. doi: 10.3758/s13423-016-1135-1
Modelling distributed multi-agent decision making: Phase 4
(2021–2022) Commonwealth Defence Science and Technology Group
Beyond Response Time and Choice: Understanding Changes of Mind in Decisions
(2020–2023) ARC Discovery Early Career Researcher Award
Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.
Beyond Response Time and Choice: Understanding Changes of Mind in Decisions
The project aims to provide novel experimental insight into how people change their minds during decisions, through identifying the cognitive architecture that reflects the behaviour that we observe from people. The project provides a substantially deeper understanding of the cognitive decision process and how it changes over time, as opposed to previous research focusing on only the final response that people make. The expected outcome is a comprehensive understanding of the human decision process through cognitive models that provide an accurate reflection of this mental process.
Note that there is a UQ earmarked PhD scholarship available for this project.