Cited by 169Decision-Making and Behavioral EconomicsNeural and Behavioral Psychology StudiesCognitive Science and Education Research

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Resource-rational decision making

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Bhui, Rahul, Lai, Lucy, Gershman, Samuel J·2021·Current Opinion in Behavioral Sciences

DOI 10.1016/j.cobeha.2021.02.015

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Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 37,139
Prospect theory: An analysis of decision under risk
Kahneman, D. J., & Tversky, A. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511609220.014 · Cited by 32,720
Auto-Encoding Variational Bayes
Kingma, D. P., & Welling, M. (2013) · arXiv · doi:10.48550/arxiv.1312.6114 · Cited by 20,067
Untitled work
(2011) · Cited by 14,317
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2005) · doi:10.1002/047174882x · Cited by 13,791
Rational choice and the structure of the environment.
Simon, H. A. (1956) · Psychological Review · doi:10.1037/h0042769 · Cited by 5,919
Maps of Bounded Rationality: Psychology for Behavioral Economics
Kahneman, D. (2003) · American Economic Review · doi:10.1257/000282803322655392 · Cited by 5,377
Implications of rational inattention
Sims, C. (2003) · Journal of Monetary Economics · doi:10.1016/s0304-3932(03)00029-1 · Cited by 3,582
Some informational aspects of visual perception.
Attneave, F. (1954) · Psychological Review · doi:10.1037/h0054663 · Cited by 2,938

Show all 95 references

Research works printed but not linked: 1

Webb, 2020, The normalization of consumer valuations: context-dependent preferences from neurobiological constraints, Manag Sci

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Authors: Bhui, R., Lai, L., & Gershman, S. J.
Affiliations: Massachusetts Institute of Technology (US)
Harvard University (US)
Corresponding author: Gershman, Samuel J
ORCID: Bhui, Rahul
Lai, Lucy
Gershman, Samuel J
Venue: Current Opinion in Behavioral Sciences
Publisher: Elsevier BV
Published: 2021-10
Volume: 41
Pages: 15-21
ISSN: 2352-1546 (ISSN-L)
DOI: 10.1016/j.cobeha.2021.02.015
OpenAlex: W3146051674
Cited by: 168
References: 95
Citations by year: 2026: 30 · 2025: 42 · 2024: 28 · 2023: 34 · 2022: 22 · 2021: 11
FWCI: 3.80
Type: journal article
Language: en
Open access: green
hdl.handle.net
Licence: cc-by-nc-nd
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doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Current Opinion in Behavioral Sciences (publishedVersion)
DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
Topics: Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Life Sciences › Neuroscience › Cognitive Neuroscience › Cognitive Science and Education Research
Keywords: reference dependence, stochastic choice, perseveration, rationality and irrationality, decision bias

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Resource-rational decision making

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