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Toward a Rational and Mechanistic Account of Mental Effort
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In spite of its familiar phenomenology, the mechanistic basis for mental effort remains poorly understood. Although most researchers agree that mental effort is aversive and stems from limitations in our capacity to exercise cognitive control, it is unclear what gives rise to those limitations and why they result in an experience of control as costly. The presence of these control costs also raises further questions regarding how best to allocate mental effort to minimize those costs and maximize the attendant benefits. This review explores recent advances in computational modeling and empirical research aimed at addressing these questions at the level of psychological process and neural mechanism, examining both the limitations to mental effort exertion and how we manage those limited cognitive resources. We conclude by identifying remaining challenges for theoretical accounts of mental effort as well as possible applications of the available findings to understanding the causes of and potential solutions for apparent failures to exert the mental effort required of us.
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“Consequently, modern theories of motivation increasingly describe motivational states as the output of a computation (calculation), where the expected value of an action is weighed against anticipated costs. These include energetic costs, as all goal pursuit will require the expenditure of metabolic energy, opportunity costs, as the pursuit of one goal might block progress towards another, hedonic”
From Motivation in the Service of Allostasis: The Role of Anterior Mid-Cingulate Cortex (2019) · cites this paper as Shenhav et al., 2017
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1 retracted
RETRACTED: Role of test motivation in intelligence testing
Duckworth, A. L., Quinn, P. D., Lynam, D. R., Loeber, R., & Stouthamer-Loeber, M. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018601108 · Cited by 344
RetractedLeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
James, W. (1891) · Personality Culture Society · doi:10.1037/11059-000 · Cited by 25,876
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations
Rumelhart, D. E., McClelland, J. L., & AU (1986) · doi:10.7551/mitpress/5236.001.0001 · Cited by 15,686
Representation Learning: A Review and New Perspectives
Bengio, Y., Courville, A., & Vincent, P. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.50 · Cited by 13,001
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Self-citationHandbook of Positive Psychology
(2001) · doi:10.1093/oso/9780195135336.001.0001 · Cited by 9,158
Research works printed but not linked: 11
- Allport DA, 1994, Attention and Performance XV: Conscious and Nonconscious Information Processing, 421
- 10.1037/0022-3514.74.5.1252 · DOI · Paper page
- Bonnelle V, 2015, Cereb. Cortex, 26, 807
- Dunn TL, 2016, J. Exp. Psychol., 42, 1372
- Geana A, 2016, Proc. 38th Annu. Conf. Cogn. Sci. Soc., Philadelphia, 1751
- Kahneman D, 1973, Attention and Effort
- Musslick S, 2016, Parallel processing capability versus efficiency of representation in neural networks
- Musslick S, 2015, A computational model of control allocation based on the expected value of control
- Sternberg S, 1969, Am. Sci., 57, 421
- Todd MT, 2009, Adv. Neural Inf. Process. Syst., 21, 1689
- Wickens DD, 1984, Varieties of Attention, 63
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Su, C.-W., Yang, F., Lai, R., Li, Y., Naeem, H., Yao, N., Zhang, S.-P., Zhang, H., Li, Y., & Huang, Z. (2025) · Cognitive Neurodynamics · doi:10.1007/s11571-024-10208-8 · Cited by 8
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Liang, Y., Káldy, Z., & Blaser, E. (2025) · Cognitive Development · doi:10.1016/j.cogdev.2025.101542 · Cited by 6
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Otto, T., Zijlstra, F., & Goebel, R. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198204 · Cited by 4
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Crawford, J. L., Brough, R. E., Eisenstein, S. A., Peelle, J. E., & Braver, T. S. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0367-24.2024 · Cited by 5
Metadata
- Authors
- Shenhav, A., Musslick, S., Lieder, F., Kool, W., Griffiths, T. L., Cohen, J. D., & Botvinick, M. M.
- Affiliations
- Brown University (US)
- Princeton University (US)
- University of California, Berkeley (US)
- Harvard University (US)
- Google DeepMind (United Kingdom) (GB)
- Corresponding author
- Shenhav, Amitai
- ORCID
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2017-07-25
- Volume
- 40
- Issue
- 1
- Pages
- 99-124
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2600886565
- Cited by
- 1,077
- References
- 196
- Citations by year
- 2026: 124 · 2025: 122 · 2024: 149 · 2023: 117 · 2022: 123 · 2021: 124 · 2020: 112 · 2019: 117 · 2018: 60 · 2017: 23
- FWCI
- 9.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Social Sciences › Arts and Humanities › Philosophy › Free Will and Agency
- Keywords
- cognitive effort, cognitive control, effort cost, cognitive resource allocation, aversive experience, cognitive limitations
- MeSH terms
- Cognition, Decision Making, Humans, Motivation, Reward, Prefrontal Cortex, Executive Function
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