Decision Making & Heuristics
Instructions Watch the video about bundles. This bundle was created to edify and support your research interests. Recommended resources have the first word of the reference highlighted with light text over a dark background (e.g., Akbarian). Key words: adolescent; AI (artificial intelligence) + decision making: attention control + decision making; conflict + decision making; decision making; choice; decisions; decision making; decision-making; decision making + neural correlates; heuristics; human-AI interface + decision making; impaired decision making; irrational decision making; mental illness + decisions; motivation + decision making; motivational networks + decision making; neural biology + decision making; nudge; perception + decision making; moral + decision making; prior experience + decision making; prosocial + decision making; regret + decision making; reinforcement learning; risky + decision making; steps in decision making; unconscious perceptual processing + decision making Some of the links go to research paper vendor sites with just the abstract available. To read the full article, sign in to HOLLIS Library and do the title search there. If you wish, you can download this bundle. |
Resources
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, 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
Alamia, A., Zénon, A., VanRullen, R., Duque, J., & Derosiere, G. (2019). Implicit visual cues tune oscillatory motor activity during decision-making. NeuroImage, 186, 424-436. doi.org/10.1016/j.neuroimage.2018.11.027
Allaert, J., De Raedt, R., & Vanderhasselt, M. A. (2019). When choosing means losing: Regret enhances repetitive negative thinking in high brooders. Journal of Experimental Social Psychology, 85, 103850. doi.org/10.1038/s41598-021-90677-7
Ariely, D. (2010). Predictably irrational: the hidden forces that shape our decisions. Harper Collins.
Auckland, C. (2023). Authenticity and identity in adolescent decision‐making. The Modern Law Review. doi.org/10.1111/1468-2230.12834
Aupperle, R. L., Melrose, A. J., Francisco, A., Paulus, M. P., & Stein, M. B. (2015). Neural substrates of approach avoidance conflict decision making. Human Brain Mapping, 36(2), 449-462. dx.doi.org/10.1002%2Fhbm.22639
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
Bruch, E., & Feinberg, F. (2017). Decision-making processes in social contexts. Annual Review of Sociology, 43, 207-227. dx.doi.org/10.1146%2Fannurev-soc-060116-053622
Brusovansky, M., Vanunu, Y., & Usher, M. (2019). Why we should quit while we’re ahead: When do averages matter more than sums? Decision, 6(1), 1-16. doi.org/10.1037/dec0000087
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
Cáceda, R., Nemeroff, C. B., & Harvey, P. D. (2014). Toward an understanding of decision making in severe mental illness. The Journal of Neuropsychiatry and Clinical Neurosciences, 26(3), 196-213. doi.org/10.1176/appi.neuropsych.12110268
Chang, R. (2014, May). How to make hard choices [Video] (14:41 minutes). TED Conferences. https://www.ted.com/talks/ruth_chang_how_to_make_hard_choices?language=es
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
CornellHumanEcology (2017, August 3). The adolescent brain: learning, reasoning and decision making. [Video] (48:36 minutes). YouTube. https://www.youtube.com/watch?v=j2WX5KxsGZE
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
Fellows, L. K. (2016). The neuroscience of human decision-making through the lens of learning and memory. In R. E. Clark & S. J. Martin (Eds.) Behavioral neuroscience of learning and memory (pp. 231-251). Springer. doi.org/10.1007/978-3-319-78757-2
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
Frydman, C., & Camerer, C. F. (2016). The psychology and neuroscience of financial decision making. Trends in Cognitive Sciences, 20(9), 661-675. doi.org/10.1016/j.tics.2016.07.003
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
Han, H., Chen, J., Jeong, C., & Glover, G. H. (2016). Influence of the cortical midline structures on moral emotion and motivation in moral decision-making. Behavioural Brain Research, 302, 237-251. doi.org/10.1016/j.bbr.2016.01.001
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
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
Ikink, I., Engelmann, J. B., van den Bos, W., Roelofs, K., & Figner, B. (2019). Time ambiguity during intertemporal decision-making is aversive, impacting choice and neural value coding. NeuroImage, 185, 236-244. doi.org/10.1016/j.neuroimage.2018.10.008
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
John, P., Smith, G., & Stoker, G. (2009). Nudge nudge, think think: two strategies for changing civic behaviour. The Political Quarterly, 80(3), 361-370. doi.org/10.1111/j.1467-923X.2009.02001.x
Johnson, E. J., Shu, S. B., Dellaert, B. G., Fox, C., Goldstein, D. G., Häubl, G., ... & Wansink, B. (2012). Beyond nudges: Tools of a choice architecture. Marketing Letters, 23(2), 487-504. doi 10.1007/s11002-012-9186-1
Kanwal, J., Jung, Y., & Zhang, M. (2016). Brain plasticity during adolescence: effects of stress, sleep, sex and sounds on decision making. Anatomy & Physiology: Current Research, 6, Article e135. dx.doi.org/10.4172/2161-0940.1000e135
Kosters, M., & Van der Heijden, J. (2015). From mechanism to virtue: Evaluating Nudge theory. Evaluation, 21(3), 276-291. doi.org/10.1177/1356389015590218
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. (2023). Friendship changes differentially predict neural correlates of decision-making for friends across adolescence. Available at SSRN https://ssrn.com/abstract=4481471 or http://dx.doi.org/10.2139/ssrn.4481471
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
LeBlanc, V. R., McConnell, M. M., & Monteiro, S. D. (2015). Predictable chaos: a review of the effects of emotions on attention, memory and decision making. Advances in Health Sciences Education, 20(1), 265-282. doi.org/10.1007/s10459-014-9516-6
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
Lerner, J. S., Li, Y., Valdesolo, P., & Kassam, K. S. (2015) Emotion and decision making. Annual Review of Psychology, 66, 799-823. https://doi.org/10.1146/annurev-psych-010213-115043
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
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
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
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
Maule, A. J., & Maule, S. (2016). Aiding lay decision making using a cognitive competencies approach. Frontiers in Psychology, 6, Article 1884. doi.org/10.3389/fpsyg.2015.01884
Mercier, M, R., & Cappe, C.(2019). The interplay between multisensory integration and perceptual decision making. Neuroimage, 222, Article 116970. doi.org/10.1016/j.neuroimage.2020.116970
Mishra, S. (2014). Decision-making under risk: Integrating perspectives from biology, economics, and psychology. Personality and Social Psychology Review, 18(3), 280-307. doi.org/10.1177/1088868314530517
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
Naqvi, N., Shiv, B., & Bechara, A. (2006). The role of emotion in decision making: A cognitive neuroscience perspective. Current Directions in Psychological Science, 15(5), 260-264. doi.org/10.1111/j.1467-8721.2006.00448.x
Nguyen, K. P., Josić, K., & Kilpatrick, Z. P. (2019). Optimizing sequential decisions in the drift–diffusion model. Journal of Mathematical Psychology, 88, 32-47. dx.doi.org/10.1016%2Fj.jmp.2018.11.001
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
Nunez, M. D., Srinivasan, R., & Vandekerckhove, J. (2015). Individual differences in attention influence perceptual decision making. Frontiers in Psychology, 8, Article 18. doi.org/10.3389/fpsyg.2015.00018
O'Doherty, J. P., Cockburn, J., & Pauli, W. M. (2017). Learning, reward, and decision making. Annual Review of Psychology, 68, 73-100. dx.doi.org/10.1146%2Fannurev-psych-010416-044216
Orquin, J. L., & Kurzban, R. (2016). A meta-analysis of blood glucose effects on human decision making. Psychological Bulletin, 142(5), 546-567. doi.org/10.1037/bul0000035
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
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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
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
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Date of last update: 14-Dec-2022 CB
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