Decision Making & Heuristics

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Adkins, T., Lewis, R., & Lee, T. (2022). Heuristics contribute to sensorimotor decision-making under risk. Psychonomic Bulletin & Review, 29(1), 145-158. doi.org/10.3758/s13423-021-01986-x

Aggarwal, A. (2024). The role of working memory in decision-making processes. Shodh Sagar Journal of Inspiration and Psychology, 1(4), 1-5. https://doi.org/10.36676/ssjip.v1.i4.21

Aggarwal, M., & Tehrani, A. F. (2023). Heuristics-based modelling of human decision process. Iranian Journal of Fuzzy Systems, 20(3), 19-30. Doi: 10.22111/IJFS.2023.7636

Akstinaite, V. (2023). Understanding hubris and heuristics in CEO decision-making: Implications for management. Organizational dynamics, 52(2), 100978. https://doi.org/10.1016/j.orgdyn.2023.100978

Atanasiu, R., Ruotsalainen, R., & N Khapova, S. (2023). A simple rule is born: How CEOs distill heuristics. Journal of Management Studies, 60(5), 1064-1104. https://doi.org/10.1111/joms.12808

Auckland, C. (2023). Authenticity and identity in adolescent decision‐making. The Modern Law Review. doi.org/10.1111/1468-2230.12834

​​Bault, N., & Rusconi, E. (2020). The art of influencing consumer choices: a reflection on recent advances in decision neuroscience. Frontiers in Psychology, 10, Article 3009. doi.org/10.3389/fpsyg.2019.03009

Berthet, V., & de Gardelle, V. (2023). The heuristics-and-biases inventory: An open-source tool to explore individual differences in rationality. Frontiers in Psychology, 14, 1145246. doi.org/10.3389/fpsyg.2023.1145246

Bjønness, S., Grønnestad, T., Johannessen, J. O., & Storm, M. (2022). Parents' perspectives on user participation and shared decision.making in adolescents' inpatient mental healthcare. Health Expectations. doi.org/10.1111/hex.13443

Bilello, D., Swancott, L. J., Kloess, J. A., & Heyes, S. B. (2023). Adolescent risk-taking and decision making: a qualitative investigation of a virtual reality experience of gangs and violence. Frontiers in Virtual Reality, 4, 1142241.doi.org/10.3389/frvir.2023.1142241

Blahut, R., Flint, A., Orlando, E., DesChatelets, J., & Khowaja, A. (2023). A scoping review on the decision-making dynamics for accepting or refusing the COVID-19 vaccination among adolescent and youth populations. BMC Public Health, 23(1), 1-9. doi.org/10.1186/s12889-023-15717-5

Bossaerts P. (2021). How neurobiology elucidates the role of emotions in financial decision-making. Frontiers in Psychology, 12, Article 697375. doi.org/10.3389/fpsyg.2021.697375

Cai, W., Warren, S. L., Duberg, K., Pennington, B., Hinshaw, S. P., & Menon, V. (2021). Latent brain state dynamics distinguish behavioral variability, impaired decision-making, and inattention. Molecular Psychiatry, 1-14. doi.org/10.1038/s41380-021-01022-3

Chen, P., Hung, H. Y., & Goh, J. O. S. (2023). Age-related differences in ERP correlates of value-based decision making. Neurobiology of Aging, 123, 10-22. doi.org/10.1016/j.neurobiolaging.2022.11.008

Chong, L., Zhang, G., Goucher-Lambert, K., Kotovsky, K., & Cagan, J. (2022). Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice. Computers in Human Behavior, 127, 107018. doi.org/10.1016/j.chb.2021.107018

Conley, M. I., & Baskin-Sommers, A. (2023). Development in uncertain contexts: An ecologically informed approach to understanding decision-making during adolescence. Cognitive, Affective, & Behavioral Neuroscience, 23(3), 739-745. doi.org/10.3758/s13415-023-01067-7

de Ridder, D., Kroese, F., & van Gestel, L. (2021). Nudgeability: Mapping conditions of susceptibility to nudge influence. Perspectives on Psychological Science, (2021), 1-14. doi.org/10.1177/1745691621995183

Di Vaio, A., Hassan, R., & Alavoine, C. (2022). Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness. Technological Forecasting and Social Change, 174, 121201. doi.org/10.1016/j.techfore.2021.121201

Edelson, S. M., & Reyna, V. F. (2023). Decision making in adolescence and early adulthood. In L. J. Crockett, G. Carlo, & J. E. Schulenberg (Eds.), APA handbook of adolescent and young adult development (pp. 107–122). American Psychological Association. https://doi.org/10.1037/0000298-007

Elliott, M. V., Johnson, S. L., Pearlstein, J. G., Lopez, D. E. M., & Keren, H. (2022). Emotion-related impulsivity and risky decision-making: A systematic review and meta-regression. Clinical Psychology Review, 102232. doi.org/10.1016/j.cpr.2022.102232

França, T. F., & Pompeia, S. (2023). Reappraising the role of dopamine in adolescent risk-taking behavior. Neuroscience & Biobehavioral Reviews, 105085. doi.org/10.1016/j.neubiorev.2023.105085

Gangopadhyay, P., Chawla, M., Dal Monte, O., & Chang, S. W. (2020). Prefrontal–amygdala circuits in social decision-making. Nature Neuroscience, 24, 5-18. doi.org/10.1038/s41593-020-00738-9

Gillespie, H. (2023). Heuristics in medicine:: How cognitive biases influence decision making and diagnosis. Canadian Journal of Autism Equity, 3(1), 37-41. DOI: https://doi.org/10.15173/cjae.v3i1.5075

Gurney, N., Miller, J. H., & Pynadath, D. V. (2023). The role of heuristics and biases during complex choices with an AI teammate. arXiv preprint arXiv:2301.05969. doi.org/10.48550/arXiv.2301.05969

He, Q., Liu, J. L., Eschapasse, L., Zagora, A. K., & Brown, T. I. (2024). The neural correlates of memory integration in value-based decision-making during human spatial navigation. Neuropsychologia, 193, 108758. https://doi.org/10.1016/j.neuropsychologia.2023.108758

Heller, D., Ferber, P., Bitterwolf, J., Hein, M., & Hoffmann, J. (2022). Neural network heuristic functions: Taking confidence into account. Association for the Advancement of Artificial Intelligence. https://ai.dmi.unibas.ch/papers/heller-et-al-socs2022.pdf

Hjeij, M., & Vilks, A. (2023). A brief history of heuristics: how did research on heuristics evolve?. Humanities and Social Sciences Communications, 10(1), 1-15. doi.org/10.1057/s41599-023-01542-z

Hodgkinson, G. P., Burkhard, B., Foss, N. J., Grichnik, D., Sarala, R. M., Tang, Y., & Van Essen, M. (2023). The heuristics and biases of top managers: Past, present, and future. Journal of Management Studies, 60(5), 1033-1063. https://doi.org/10.1111/joms.12937

Hogeveen, J., Mullins, T. S., Romero, J. D., Eversole, E., Rogge-Obando, K., Mayer, A. R., & Costa, V. D. (2022). The neurocomputational bases of explore-exploit decision-making. Neuron, 110(11), 1869-1879. doi.org/10.1016/j.neuron.2022.03.014

Hollihan, T. A., & Baaske, K. T. (2022). Arguments and arguing: The products and process of human decision making. Waveland Press.

Hüpen, P., Habel, U., Votinov, M., Kable, J. W., & Wagels, L. (2023). A systematic review on common and distinct neural correlates of risk-taking in substance-related and non-substance related addictions. Neuropsychology Review, 33(2), 492-513. doi.org/10.1007/s11065-022-09552-5

Jacob, L., & Reddy, K. J. (2025). Exploring decision-making processes in neuroeconomics. Advances in Finance, Accounting, and Economics. DOI: 10.4018/979-8-3693-6055-2.ch005

Janssen, M., Hartog, M., Matheus, R., Yi Ding, A., & Kuk, G. (2022). Will algorithms blind people? The effect of explainable AI and decision-makers’ experience on AI-supported decision-making in government. Social Science Computer Review, 40(2), 478-493. doi.org/10.1177/0894439320980118

Kang, K., Antonenko, D., Glöckner, F., Flöel, A., & Li, S. C. (2024). Neural correlates of home-based intervention effects on value-based sequential decision-making in healthy older adults. Aging Brain, 5, 100109. https://doi.org/10.1016/j.nbas.2024.100109

Kirsch, F. (2024). Electrophysiological mechanisms of foraging decisions and feedback processing (Doctoral dissertation). urn:nbn:de:gbv:ma9:1-1981185920-1178594

Ko, Y. H., Zhou, A., Niessen, E., Stahl, J., Weiss, P. H., Hester, R., ... & Feuerriegel, D. (2024). Neural correlates of confidence during decision formation in a perceptual judgment task. Cortex, 173, 248-262. https://doi.org/10.1016/j.cortex.2024.01.006

Kurdoglu, R. S., Ates, N. Y., & Lerner, D. A. (2023). Decision-making under extreme uncertainty: eristic rather than heuristic. International Journal of Entrepreneurial Behavior & Research, 29(3), 763-782.doi.org/10.1108/IJEBR-07-2022-0587

Kwon, S. J., Prinstein, M. J., Lindquist, K. A., & Telzer, E. H. (2024). Friendship changes differentially predict neural correlates of decision-making for friends across adolescence. Developmental Cognitive Neuroscience, 65, 101342. https://doi.org/10.1016/j.dcn.2024.101342

Labutina, N., Polyakov, S., Nemtyreva, L., Shuldishova, A., & Gizatullina, O. (2024). Neural correlates of social decision-making. Iranian Journal of Psychiatry, 19(1), 148. doi: 10.18502/ijps.v19i1.14350

Lamprell, K. (2022). Core aspects of nudge as a behaviour change paradigm in implementation science. In F. Rapport, R. Clay-Williams, J. Braithwaite’s Implementation science (pp. 68-70). Routledge.

Lange, J., Heerdink, M. W., & Van Kleef, G. A. (2022). Reading emotions, reading people: Emotion perception and inferences drawn from perceived emotions. Current Opinion in Psychology, 43, 85-90. doi.org/10.1016/j.copsyc.2021.06.008

León, Y. L., & Mu, E. (2021). Organizational mindfulness assessment and its impact on rational decision making. Mathematics, 9(16), 1851. doi.org/10.3390/math9161851

Li, J. A., Dong, D., Wei, Z., Liu, Y., Pan, Y., Nori, F., & Zhang, X. (2020). Quantum reinforcement learning during human decision-making. Nature Human Behaviour, 4(3), 294-307. doi.org/10.1038/s41562-019-0804-2

Liu, S., Li, S., Jiang, H., Zhang, Z., Gong, Y., Guo, X., & Liu, Z. (2023). The neural correlates underlying the regulation of anticipation on regret. Behavioural Brain Research, 436, 114075. https://doi.org/10.1016/j.bbr.2022.114075

Liu, Z., Zhang, Z., Liu, Z., Li, S., & Liu, S. (2023). Altered neural correlates of optimal decision-making in individuals with depressive status. Biological Psychology, 176, 108462. doi.org/10.1016/j.biopsycho.2022.108462

Liu, T., Vickers, B. D., Seidler, R. D., & Preston, S. D. (2023). Neural correlates of overvaluation and the effort to save possessions in a novel decision task: An exploratory fMRI study. Frontiers in Psychology, 14, 1059051. doi.org/10.3389/fpsyg.2023.1059051

Liu, Z., Hong, Y., & Su, Y. (2022). “I am regretful but I would not change my decision”: the dissociation between emotional regret and behavioural regret in children. Current Psychology, 1-10. doi.org/10.1007/s12144-022-03588-9

Love, P. E. (2024). A pragmatist research agenda for employing psychological heuristics in vonstruction: Context, design, artificial intelligence, and performance evaluation. IEEE Transactions on Engineering Management. Doi: 10.1109/TEM.2024.3411656

Love, P. E., Ika, L. A., & Pinto, J. K. (2024). Smart heuristics for decision-making in the ‘wild’: Navigating cost uncertainty in the construction of large-scale transport projects. Production Planning & Control, 35(16), 2286-2303. https://doi.org/10.1080/09537287.2023.2248942

Love, P. E., Matthews, J., Ika, L. A., & Fang, W. (2024). The role of smart heuristics in decision-making under uncertainty: Migitating rework and its consequences. IEEE Transactions on Engineering Management. Doi:  10.1109/TEM.2024.3364168

Love, P. E., Ika, L. A., & Pinto, J. K. (2023). Fast-and-frugal heuristics for decision-making in uncertain and complex settings in construction. Developments in the Built Environment, 14, 100129. doi.org/10.1016/j.dibe.2023.100129

Lu, K., Wong, K. T., Zhou, L. N., Shi, Y. T., Yang, C. J., & Liu, R. C. (2023). Instinct to insight: Neural correlates of ethological strategy learning. bioRxiv, 2023-09. doi.org/10.1101/2023.09.11.557240

Mahieux, E. (2024). An investigation into the psychological, cognitive and neural correlates of swing voting (Doctoral dissertation, UCL (University College London).  https://discovery.ucl.ac.uk/id/eprint/10199623

McMahon, C. J. (2024). Cognitive biases and heuristics in human cognition. Intelligence-Based Cardiology and Cardiac Surgery, 145-151. doi.org/10.1016/B978-0-323-90534-3.00055-X

Marewski, J. N., & Gigerenzer, G. (2022). Heuristic decision making in medicine. Dialogues in Clinical Neuroscience. doi.org/10.31887/DCNS.2012.14.1/jmarewski

Mareschal, D. (2023). Fast and slow learning in humans; the case for multiple parallel learning systems. [video] (1:09:16 minutes). https://www.youtube.com/watch?v=b1-2QPICxbc&ab_channel=CentreforEducationalNeuroscience

Martín, M., & Valiña, M. D. (2023). Heuristics, biases and the psychology of reasoning: State of the Art. Psychology, 14(2), 264-294. DOI: 10.4236/psych.2023.142016

Moutoussis, M., Garzón, B., Neufeld, S., Bach, D. R., Rigoli, F., Goodyer, I., Bullmore, E., NSPN Consortium, Guitart-Masip, M., & Dolan, R. J. (2021). Decision-making ability, psychopathology, and brain connectivity. Neuron, 109(12), 2025–2040.e7. doi.org/10.1016/j.neuron.2021.04.019

Mrozynski, H., & Kuhn, E. (2022). Reasoning for autonomous suicide? A qualitative approach to pre-suicidal decision-making. Social Science & Medicine, 296, 114764. doi.org/10.1016/j.socscimed.2022.114764

Müller, L. K. (2021). Mindfulness in ethical decision-making: how state and trait mindfulness impact moral judgment and acceptance of unethical behavior. [Doctoral dissertation] Universidade Católica Portuguesa. hdl.handle.net/10400.14/35635

Najafi, F., Elsayed, G. F., Cao, R., Pnevmatikakis, E., Latham, P. E., Cunningham, J. P., & Churchland, A. K. (2020). Excitatory and inhibitory subnetworks are equally selective during decision-making and emerge simultaneously during learning. Neuron, 105(1), 165-179. doi.org/10.1016/j.neuron.2019.09.045

Niu, B., Li, Y., Ding, X., Shi, C., Zhou, B., & Gong, J. (2023). Neural correlates of bribe-taking decision dilemma: An fNIRS study. Brain and Cognition, 166, 105951. doi.org/10.1016/j.bandc.2023.105951

Otero, I., Salgado, J. F., & Moscoso, S. (2022). Cognitive reflection, cognitive intelligence, and cognitive abilities: A meta-analysis. Intelligence, 90, 101614. doi.org/10.1016/j.intell.2021.101614

Pathak, S., Srivastava, K. B., & Dewangan, R. L. (2023). Decision styles and their association with heuristic cue and decision-making rules. Cogent Psychology, 10(1), 2166307.doi.org/10.1080/23311908.2023.2166307

Pujara, V., Joshi, B. P., & Virmani, C. (2022). Nudge: A bridge between choice and desired decision. International Journal of Applied Behavioral Economics (IJABE), 11(1), 1-15. doi: 10.4018/IJABE.302140

Quazilbash, N. Z., Asif, Z., & Rizvi, S. (2023). Variations in neural correlates of human decision making–a case of book recommender systems. KSII Transactions on Internet & Information Systems, 17(3).

Rodrigues, J., Weiß, M., Hein, G., & Hewig, J. (2024). Electrophysiological correlates of why humans deviate from rational decision‐making: A registered replication study. Psychophysiology, e14665. https://doi.org/10.1111/psyp.14665

Rogers, C. R., Jimenez, V., Benjamin, A., Rudolph, K. D., & Telzer, E. H. (2023). The effect of parents and peers on the neural correlates of risk taking and antisocial behavior during adolescence. Journal of Youth and Adolescence, 1-11. doi.org/10.1007/s10964-023-01789-4

Sazhin, D., Wyngaarden, J. B., Dennison, J. B., Zaff, O., Fareri, D., McCloskey, M. S., ... & Smith, D. V. (2024). Trait reward sensitivity modulates connectivity with the temporoparietal junction and anterior insula during strategic decision making. Biological Psychology, 192, 108857. https://doi.org/10.1016/j.biopsycho.2024.108857

Schüller, T., Kohl, S., Dembek, T., Tittgemeyer, M., Huys, D., Visser-Vandewalle, V., ... & Baldermann, J. C. (2022). Internal capsule/nucleus accumbens deep brain stimulation increases impulsive decision-making in obsessive-compulsive disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. doi.org/10.1016/j.bpsc.2022.10.005

Sheehy-Skeffington, J. (2020). The effects of low socioeconomic status on decision-making processes. Current Opinion in Psychology, 33, 183-188. https://doi.org/10.1016/j.copsyc.2019.07.043

Small, C., & Lew, C. (2021). Mindfulness, moral reasoning and responsibility: Towards virtue in ethical decision-making. Journal of Business Ethics, 169(1), 103-117. doi.org/10.1007/s10551-019-04272-y

Speicher, N., Henze, G. I., Bärtl, C., Böhm, F., Sommer, M., Wüst, S., & Kudielka, B. M. (2023). Neural correlates of everyday moral decision-making: An exploratory ScanSTRESS study. Psychology & Neuroscience, 16(1), 71. doi.org/10.1037/pne0000306

Spektor, M. S., Bhatia, S., & Gluth, S. (2021). The elusiveness of context effects in decision making. Trends in Cognitive Sciences, 25(10), 843–854.doi.org/10.1016/j.tics.2021.07.011

Starke, A. D., Willemsen, M. C., & Trattner, C. (2021). Nudging healthy choices in food search through visual attractiveness. Frontiers in Artificial Intelligence, 4, Article 621743. doi.org/10.3389/frai.2021.621743

Suresh, G. (2024). Impact of financial literacy and behavioural biases on investment decision-making. FIIB Business Review, 13(1), 72-86. https://doi.org/10.1177/23197145211035481

Suri, G., Slater, L. R., Ziaee, A., & Nguyen, M. (2024). Do large language models show decision heuristics similar to humans? A case study using GPT-3.5. Journal of Experimental Psychology: General. https://doi.org/10.1037/xge0001547

Sutil-Martín, D. L., & Rienda-Gómez, J. J. (2020). The Influence of unconscious perceptual processing on decision-making: A new perspective from cognitive neuroscience applied to Generation Z. Frontiers in Psychology, 11, Article 1728. dx.doi.org/10.3389%2Ffpsyg.2020.01728

Taylor, M. K., Marsh, E. J., & Samanez-Larkin, G. R. (2023). Heuristic decision-making across adulthood. Psychology and Aging, 38(6), 508–518. doi.org/10.1037/pag0000726

Veldwijk, J., Marceta, S. M., Swait, J. D., Lipman, S. A., & de Bekker-Grob, E. W. (2023). Taking the shortcut: Simplifying heuristics in discrete choice experiments. The Patient-Patient-Centered Outcomes Research, 1-15. doi.org/10.1007/s40271-023-00625-y

VenkataRamana, S., Reddy, Y. S., Ram, P. P., & Rao, S. S. (2024). Neuro economics and financial decision-making: Bridging the gap with behavioral finance. Educational Administration: Theory and Practice, 30(5), 1035-1044.

Wijaya, V. G., Oba, K., Ishibashi, R., & Sugiura, M. (2023). Why people hesitate to help: Neural correlates of the counter-dynamics of altruistic helping and individual differences in daily helping tendencies. Frontiers in Psychology, 14, 1080376. doi.org/10.3389/fpsyg.2023.1080376

Wischnewski, M., & Compen, B. (2022). Effects of theta transcranial alternating current stimulation (tACS) on exploration and exploitation during uncertain decision-making. Behavioural Brain Research, 426, 113840. doi.org/10.1016/j.bbr.2022.113840

Zhang, Y., Chen, R., Liu, S., Chen, P., & Mai, X. (2025). Neural correlates of reciprocity bias: social debts modulate unfairness perception of violation during third-party observation. Cerebral Cortex, bhae497. https://doi.org/10.1093/cercor/bhae497

Zhang, L., Lengersdorff, L., Mikus, N., Gläscher, J., & Lamm, C. (2020). Using reinforcement learning models in social neuroscience: Frameworks, pitfalls and suggestions of best practices. Social Cognitive and Affective Neuroscience, 15(6), 695-707. doi.org/10.1093/scan/nsaa089

Date of last update: 14-Dec-2022 CB

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