The DOI matches its Crossref record; 122 of the 127 references it cites were found in a registry or an index.
The anchoring bias reflects rational use of cognitive resources
Open accessAbstract
Cognitive biases, such as the anchoring bias, pose a serious challenge to rational accounts of human cognition. We investigate whether rational theories can meet this challenge by taking into account the mind's bounded cognitive resources. We asked what reasoning under uncertainty would look like if people made rational use of their finite time and limited cognitive resources. To answer this question, we applied a mathematical theory of bounded rationality to the problem of numerical estimation. Our analysis led to a rational process model that can be interpreted in terms of anchoring-and-adjustment. This model provided a unifying explanation for ten anchoring phenomena including the differential effect of accuracy motivation on the bias towards provided versus self-generated anchors. Our results illustrate the potential of resource-rational analysis to provide formal theories that can unify a wide range of empirical results and reconcile the impressive capacities of the human mind with its apparently irrational cognitive biases.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“This is in line with previous research emphasizing the importance of collaborative decision-making in health care to mitigate individual cognitive biases [47].”
From Mitigating cognitive biases in clinical decision-making through multi-agent conversations using large language models: simulation study (2024) · cites this paper as [47]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
Theory of games and economic behavior
Garcia, S. R., & Miller, S. J. (2019) · American Mathematical Society eBooks · doi:10.1090/mbk/121/32 · Cited by 16,777
A BEHAVIORAL MODEL OF RATIONAL CHOICE
Simon, H. A. (1955) · The Quarterly Journal of Economics · doi:10.2307/1884852 · Cited by 15,877
Monte Carlo sampling methods using Markov chains and their applications.
Hastings, W. K. (1970) · Biometrika · doi:10.1093/biomet/57.1.97 · Cited by 15,195
Diamond, A. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143750 · Cited by 13,268
Advances in Neural Information Processing Systems 25
Zhang, Y., Sutton, C. A., Storkey, A., & Zoubin Ghahramani, A. (2012) · Cited by 12,653
A spreading-activation theory of semantic processing.
Collins, A. M., & Loftus, E. F. (1975) · Psychological Review · doi:10.1037/0033-295x.82.6.407 · Cited by 8,141
Markov Chain Monte Carlo in Practice
Gilks, W. R., Richardson, S. T., & Spiegelhalter, D. J. (1995) · Chapman & Hall/CRC eBooks · doi:10.1201/b14835 · Cited by 7,927
Sequential Monte Carlo Methods in Practice
Arnaud Doucet, B. (2001) · Springer eBooks · doi:10.1007/978-1-4757-3437-9 · Cited by 7,516
Rational choice and the structure of the environment.
Simon, H. A. (1956) · Psychological Review · doi:10.1037/h0042769 · Cited by 5,919
Marr, D. (1982) · Cumulative Index of Computer Aided Architectural Design · Cited by 5,733
The Theory of Games and Economic Behavior
Harrison, R. W., von Neumann, J., & Morgenstern, O. (1945) · Journal of Farm Economics · doi:10.2307/1232672 · Cited by 5,318
Subjective probability: A judgment of representativeness
Kahneman, D. J., & Tversky, A. (1972) · Cognitive Psychology · doi:10.1016/0010-0285(72)90016-3 · Cited by 4,996
Fodor, J. A. (1975) · Medical Entomology and Zoology · Cited by 4,588
Human Inference: Strategies and Shortcomings of Social Judgment.
Cherniak, C., Nisbett, R. E., & Ross, L. D. (1983) · The Philosophical Review · doi:10.2307/2184495 · Cited by 4,196
Heuristics and Biases: The Psychology of Intuitive Judgment
Bottom, W. P., Gilovich, T. D., Griffin, D., & Kahneman, D. J. (2004) · Academy of Management Review · doi:10.2307/20159081 · Cited by 3,584
Reasoning the fast and frugal way: Models of bounded rationality.
Gigerenzer, G., & Goldstein, D. G. (1996) · Psychological Review · doi:10.1037/0033-295x.103.4.650 · Cited by 3,504
Payne, J. W., Bettman, J. R., & Johnson, E. J. (1993) · doi:10.1017/cbo9781139173933 · Cited by 3,487
Elimination by aspects: A theory of choice
Tversky, A. (1972) · Psychological Review · doi:10.1037/h0032955 · Cited by 3,365
Leave, C., Payne, J. W., Bettman, J. R., & Johnson, E. J. (1994) · Journal of the Operational Research Society · doi:10.2307/2584298 · Cited by 3,317
The Utility Analysis of Choices Involving Risk
Friedman, M., & Savage, L. J. (1948) · Journal of Political Economy · doi:10.1086/256692 · Cited by 3,086
Miller, G. A., & Cantor, N. E. (1982) · Social Cognition · doi:10.1521/soco.1982.1.1.83 · Cited by 2,862
Neely, J. H. (1977) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.106.3.226 · Cited by 2,826
Human Inference: Strategies and Shortcomings of Social Judgment.
Connolly, T., Nisbett, R. E., & Ross, L. D. (1981) · Administrative Science Quarterly · doi:10.2307/2392481 · Cited by 2,690
MCMC Using Hamiltonian Dynamics
Neal, R. M. (2011) · Handbook of Markov Chain Monte Carlo · doi:10.1201/b10905-6 · Cited by 2,574
A spreading activation theory of memory.
Anderson, J. R. (1983) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(83)90201-3 · Cited by 2,199
The Adaptive Character of Thought
Massaro, D. W., Friedman, D., & Anderson, J. R. (1991) · The American Journal of Psychology · doi:10.2307/1423253 · Cited by 2,174
The free-energy principle: a rough guide to the brain?
Friston, K. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.04.005 · Cited by 1,831
Predictive coding under the free-energy principle
Friston, K., & Kiebel, S. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0300 · Cited by 1,579
Wason, P. C. (1968) · Quarterly Journal of Experimental Psychology · doi:10.1080/14640746808400161 · Cited by 1,476
"Coherent Arbitrariness": Stable Demand Curves Without Stable Preferences
Dan Ariely, C., Loewenstein, G. F., & Prelec, D. (2003) · The Quarterly Journal of Economics · doi:10.1162/00335530360535153 · Cited by 1,462
A System of Logic, Ratiocinative and Inductive
Mill, J. S. (2023) · Routledge eBooks · doi:10.4324/9781003009450-5 · Cited by 1,430
Elements of a theory of human problem solving.
Newell, A., Shaw, J. C., & Simon, H. A. (1958) · Psychological Review · doi:10.1037/h0048495 · Cited by 1,380
Markov Chain Monte Carlo in Practice.
Kass, R. E., Gilks, W. R., Richardson, S. T., & Spiegelhalter, D. J. (1997) · Journal of the American Statistical Association · doi:10.2307/2965438 · Cited by 1,380
Perspective Taking as Egocentric Anchoring and Adjustment.
Nicholas Epley, A., Keysar, B., Leaf Van Boven, A., & Gilovich, T. D. (2004) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.87.3.327 · Cited by 1,316
From substantive to procedural rationality
Simon, H. A. (1976) · Springer eBooks · doi:10.1007/978-1-4613-4367-7_6 · Cited by 1,315
The decision and the organization
MacDougall, C. D., & Wilson, H. (1965) · Marzani & Munsell eBooks · Cited by 1,149
A System of Logic, Ratiocinative and Inductive
Mill, J. S. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9781139149839 · Cited by 1,079
Northcraft, G. B., & Neale, M. A. (1987) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(87)90046-x · Cited by 1,064
(2002) · The MIT Press eBooks · doi:10.7551/mitpress/1654.001.0001 · Cited by 1,058
Gigerenzer, G. (2008) · Perspectives on Psychological Science · doi:10.1111/j.1745-6916.2008.00058.x · Cited by 1,032
Proceedings of the 35th Annual Conference of the Cognitive Science Society
Dale, R. A. C., Yu, C., Nagai, Y., Coco, M. I., & Kopp, S. (2013) · Cited by 1,006
Explaining the enigmatic anchoring effect: Mechanisms of selective accessibility.
Strack, F., & Mussweiler, T. (1997) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.73.3.437 · Cited by 981
A Contingency Model for the Selection of Decision Strategies
Beach, L. R., & Mitchell, T. R. (1978) · Academy of Management Review · doi:10.5465/amr.1978.4305717 · Cited by 973
Oaksford, M., & Chater, N. (2007) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198524496.001.0001 · Cited by 936
The Anchoring-and-Adjustment Heuristic: Why the Adjustments Are Insufficient
Epley, N., & Gilovich, T. (2006) · Psychological Science · doi:10.1111/j.1467-9280.2006.01704.x · Cited by 920 · cited 28×
“In an experiment with self-generated anchors (Epley & Gilovich, 2006) found that people adjust their estimate less when required to simultaneously memorize an eight-letter string.”
BackgroundMethodResultInfluentialShugan, S. M. (1980) · Journal of Consumer Research · doi:10.1086/208799 · Cited by 919
Wiley Interdisciplinary Reviews: Cognitive Science
(2018) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/(issn)1939-5086 · Cited by 877
Predicting pragmatic reasoning in language games
Frank, M. C., & Goodman, N. D. (2012) · Science · doi:10.1126/science.1218633 · Cited by 868
Self-citationFirst offers as anchors: The role of perspective-taking and negotiator focus.
Galinsky, A. D., & Mussweiler, T. (2001) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.81.4.657 · Cited by 863
A new look at anchoring effects: Basic anchoring and its antecedents.
Wilson, T. D., Houston, C. E., Etling, K. M., & Brekke, N. (1996) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.125.4.387 · Cited by 788
Measures of Anchoring in Estimation Tasks
Jacowitz, K. E., & Kahneman, D. J. (1995) · Personality and Social Psychology Bulletin · doi:10.1177/01461672952111004 · Cited by 753
Stewart, N., Chater, N., & Brown, G. D. A. (2006) · Cognitive Psychology · doi:10.1016/j.cogpsych.2005.10.003 · Cited by 737
Proceedings of the 33rd Annual Conference of the Cognitive Science Society
Dziemianko, M., Keller, F., & Coco, M. I. (2011) · Cited by 737
Computational rationality: A converging paradigm for intelligence in brains, minds, and machines
Gershman, S. J., Horvitz, E., & Tenenbaum, J. B. (2015) · Science · doi:10.1126/science.aac6076 · Cited by 712
(1980) · CERN Document Server (European Organization for Nuclear Research) · Cited by 704
Statistically optimal perception and learning: from behavior to neural representations
Fiser, J., Berkes, P., Orbán, G., & Lengyel, M. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.01.003 · Cited by 672
Optimal Predictions in Everyday Cognition
Griffiths, T. L., & Tenenbaum, J. B. (2006) · Psychological Science · doi:10.1111/j.1467-9280.2006.01780.x · Cited by 661
Self-citationRussell, S., Wefald, E. H., Bobrow, D. G., Brady, M., & Davis, R. (1991) · The MIT Press eBooks · doi:10.7551/mitpress/2474.001.0001 · Cited by 655
Attribution and the psychology of prediction.
Nisbett, R. E., & Borgida, E. (1975) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.32.5.932 · Cited by 645
Approximate Bayesian Computation
Sunnåker, M., Busetto, A. G., Numminen, E., Corander, J., Foll, M., & Dessimoz, C. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002803 · Cited by 636
On the Relation Between the Natural Logic of Reasoning and Standard Logic.
Braine, M. (1978) · Psychological Review · doi:10.1037/0033-295x.85.1.1 · Cited by 609
Schwarz, N. (2014) · Psychology Press eBooks · doi:10.4324/9781315805887 · Cited by 588
Mussweiler, T., & Strack, F. (1999) · Journal of Experimental Social Psychology · doi:10.1006/jesp.1998.1364 · Cited by 585
Englich, B., Mussweiler, T., & Strack, F. (2006) · Personality and Social Psychology Bulletin · doi:10.1177/0146167205282152 · Cited by 554
Rates of convergence of the Hastings and Metropolis algorithms
Mengersen, K. L., & Tweedie, R. L. (1996) · The Annals of Statistics · doi:10.1214/aos/1033066201 · Cited by 545
Cognition and Communication: Judgmental Biases, Research Methods, and the Logic of Conversation
Schwarz, N. (2014) · Medical Entomology and Zoology · Cited by 537
Vul (2014) · doi:10.1111/cogs.12101 · Cited by 502
Self-citationGriffiths, T. L., Lieder, F., & Goodman, N. D. (2015) · Topics in Cognitive Science · doi:10.1111/tops.12142 · Cited by 434
Self-citationIncorporating the Irrelevant: Anchors in Judgments of Belief and Value
Chapman, G. B., & Johnson, E. J. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.008 · Cited by 421
Chapman, G. B., & Johnson, E. J. (1994) · Journal of Behavioral Decision Making · doi:10.1002/bdm.3960070402 · Cited by 410
Anderson, J. R. (1991) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00070801 · Cited by 393
Good Thinking: The Foundations of Probability and Its Applications.
Berger, J. O., & Good, I. J. (1985) · Journal of the American Statistical Association · doi:10.2307/2288079 · Cited by 390
Buesing, L., Bill, J., Nessler, B., & Maass, W. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002211 · Cited by 384
Rational approximations to rational models: alternative algorithms for category learning
Sanborn, A. N., Griffiths, T. L., & Navarro, D. J. (2010) · Psychological Review · doi:10.1037/a0020511 · Cited by 369
Self-citationReducing Overconfidence in the Interval Judgments of Experts
Speirs‐Bridge, A., Fidler, F. M., McBride, M. F., Flander, L. B., Cumming, G., & Burgman, M. A. (2009) · Risk Analysis · doi:10.1111/j.1539-6924.2009.01337.x · Cited by 349
Decision traps : ten barriers to brilliant decision-making and how to overcome them
Russo, J. E., & Schoemaker, P. J. H. (1989) · Medical Entomology and Zoology · Cited by 347
The New Palgrave Dictionary of Economics
(2008) · doi:10.1057/b.9780631218234.2009.x · Cited by 339
Shafir, E., & LeBoeuf, R. A. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135213 · Cited by 317
Cognitive Processes and Societal Risk Taking
Slovic, P., Fischhoff, B., & Lichtenstein, S. (1976) · Springer eBooks · doi:10.1007/978-94-010-1276-8_2 · Cited by 310
Nicholas Epley, A., & Gilovich, T. D. (2005) · Journal of Behavioral Decision Making · doi:10.1002/bdm.495 · Cited by 302
The Tractable Cognition Thesis
van Rooij, I. (2008) · Cognitive Science · doi:10.1080/03640210801897856 · Cited by 297
Anchoring Effects on Consumers’ Willingness‐to‐Pay and Willingness‐to‐Accept
Simonson, I., & Drolet, A. L. (2004) · Journal of Consumer Research · doi:10.1086/425103 · Cited by 284
Russell, S. (1997) · Artificial Intelligence · doi:10.1016/s0004-3702(97)00026-x · Cited by 281
Provably Bounded-Optimal Agents
Russell, S. J., & Subramanian, D. (1995) · Journal of Artificial Intelligence Research · doi:10.1613/jair.133 · Cited by 252
Wright, W. F., & Anderson, U. L. (1989) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(89)90035-6 · Cited by 248
Computational Rationality: Linking Mechanism and Behavior Through Bounded Utility Maximization
Lewis, R. L., Howes, A., & Singh, S. P. (2014) · Topics in Cognitive Science · doi:10.1111/tops.12086 · Cited by 246
Thorngate, W. (1980) · Systems Research and Behavioral Science · doi:10.1002/bs.3830250306 · Cited by 236
Simmons, J. P., LeBoeuf, R. A., & Nelson, L. D. (2010) · Journal of Personality and Social Psychology · doi:10.1037/a0021540 · Cited by 229
Nicholas Epley, A., & Gilovich, T. D. (2004) · Personality and Social Psychology Bulletin · doi:10.1177/0146167203261889 · Cited by 207
Bayesian sampling in visual perception
Moreno-Bote, R., Knill, D. C., & Pouget, A. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1101430108 · Cited by 182
The Accuracy of Intuitive Judgment Strategies: Covariation Assessment and Bayesian Inference
McKenzie, C. R. M. (1994) · Cognitive Psychology · doi:10.1006/cogp.1994.1007 · Cited by 181
Random walks on semantic networks can resemble optimal foraging.
Abbott, J. T., Austerweil, J. L., & Griffiths, T. L. (2015) · Psychological Review · doi:10.1037/a0038693 · Cited by 171
Self-citationWin-Stay, Lose-Sample: A simple sequential algorithm for approximating Bayesian inference
Bonawitz, E. B., Denison, S., Alison Gopnik, C., & Griffiths, T. L. (2014) · Cognitive Psychology · doi:10.1016/j.cogpsych.2014.06.003 · Cited by 141
Self-citationMultistability and perceptual inference
Gershman, S. J., Vul, E., & Tenenbaum, J. B. (2012) · Neural Computation · doi:10.1162/neco_a_00226 · Cited by 140
Rational variability in children's causal inferences: the sampling hypothesis
Denison, S., Bonawitz, E., Gopnik, A., & Griffiths, T. L. (2013) · Cognition · doi:10.1016/j.cognition.2012.10.010 · Cited by 126
Self-citationDo the right thing: studies in limited rationality
(1992) · Choice Reviews Online · doi:10.5860/choice.29-5169 · Cited by 125
Bonawitz, E. B., Denison, S., Griffiths, T. L., & Alison Gopnik, C. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.06.006 · Cited by 117
Self-citationThe fragile basic anchoring effect
Brewer, N. T., & Chapman, G. B. (2002) · Journal of Behavioral Decision Making · doi:10.1002/bdm.403 · Cited by 112
A Tale of Tuned Decks? Anchoring as Accessibility and Anchoring as Adjustment
Nicholas Epley, A. (2004) · doi:10.1002/9780470752937.ch12 · Cited by 105
The International Encyclopedia of Ethics
Hannabuss, S. (2014) · Reference Reviews · doi:10.1108/rr-11-2013-0285 · Cited by 97
The Rational Analysis Of Mind And Behavior
Chater, N., & Oaksford, M. (2000) · Synthese · doi:10.1023/a:1005272027245 · Cited by 90
Approximate Bayesian computation with differential evolution
Turner, B. M., & Sederberg, P. B. (2012) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2012.06.004 · Cited by 85
Burn-in, bias, and the rationality of anchoring
Lieder, F., Griffiths, T. L., & Goodman, N. D. (2012) · Cited by 78
Self-citationThe anchor integration model: A descriptive model of anchoring effects
Turner, B. M., & Schley, D. R. (2016) · Cognitive Psychology · doi:10.1016/j.cogpsych.2016.07.003 · Cited by 76
Stochastic Computations in Cortical Microcircuit Models
Habenschuss, S., Jonke, Z., & Maass, W. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003311 · Cited by 73
The power of precise numbers: A conversational logic analysis
Zhang, Y. C., & Schwarz, N. (2013) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2013.04.002 · Cited by 71
Martinelli, A. (2004) · University of California Press eBooks · doi:10.1525/california/9780520241367.003.0007 · Cited by 69
Griffiths, T. L., & Tenenbaum, J. B. (2011) · Journal of Experimental Psychology General · doi:10.1037/a0024899 · Cited by 67
Self-citationEmpirical evidence for resource-rational anchoring and adjustment
Lieder, F., Griffiths, T. L., Huys, Q. J. M., & Goodman, N. D. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1288-6 · Cited by 45
Self-citationGood thinking: the foundations of probability and its applications
Good, I. J. (1983) · CERN Document Server (European Organization for Nuclear Research) · Cited by 45
Algorithm selection by rational metareasoning as a model of human strategy selection
Lieder, F., Plunkett, D., Hamrick, J. B., Russell, S., Hay, N., & Griffiths, T. L. (2014) · doi:10.13140/2.1.2563.1686 · Cited by 41
Self-citationThe Effects of Feedback Source and Plausibility of Hindsight Bias
POHL, R. F. (1998) · The European Journal of Cognitive Psychology · doi:10.1080/713752272 · Cited by 37
When to use which heuristic: A rational solution to the strategy selection problem
Lieder, F., & Griffiths, T. L. (2015) · eScholarship (California Digital Library) · doi:10.13140/rg.2.2.28760.42241 · Cited by 33
Self-citationHindsight bias as a function of anchor distance and anchor plausibility
Hardt, O. M., & POHL, R. F. (2003) · Memory · doi:10.1080/09658210244000504 · Cited by 30
Empirical Evidence for Markov Chain Monte Carlo in Memory Search.
Bourgin, D., Abbott, J. T., Griffiths, T. L., Smith, K. A., & Vul, E. (2014) · eScholarship (California Digital Library) · Cited by 28
Self-citationThe high availability of extreme events serves resource-rational decision-making
Lieder, F., Hsu, M., & Griffiths, T. L. (2014) · eScholarship (California Digital Library) · doi:10.13140/rg.2.2.22049.53605 · Cited by 27
Self-citationExploring the influence of particle filter parameters on order effects in causal learning
Abbott, J. T., & Griffiths, T. L. (2011) · eScholarship (California Digital Library) · Cited by 23
Self-citationRational Choice and Political Science
Lohmann, S. (2008) · The New Palgrave Dictionary of Economics · doi:10.1057/978-1-349-95121-5_2341-1 · Cited by 19
Empirical evidence for resource-rational anchoring and adjustmentPreprint
Lieder, F., Griffiths, T. L., Huys, Q. J. M., & Goodman, N. D. (2017) · doi:10.31234/osf.io/zu4pt · Cited by 12
Self-citationSosis, C. L., & Bishop, M. A. (2013) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1263 · Cited by 6
Research works printed but not linked: 3
- Horvitz, E., Suermondt, H., & Cooper, G. (1989). Bounded conditioning: Flexible inference for decisions under scarce resources, Proceedings of the Fifth Workshop on Uncertainty in Artificial Intelligence (pp. 182–193). Mountain View: Association for Uncertainty in Artificial Intelligence.
- Lieder, F., Goodman, N. D., & Huys, Q. J. M. (2013). Controllability and resource-rational planning. In Pillow, J., Rust, N., Cohen, M., & Latham, P. (Eds.), Cosyne Abstracts.
- Simon, H. A. (1972). Theories of bounded rationality. Decision and Organization, 1, 161–176.
Cited by
Sorted by citations
Lieder, F., & Griffiths, T. L. (2020) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1900061x · Cited by 892
Self-citationResolving uncertainty in a social world
FeldmanHall, O., & Shenhav, A. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0590-x · Cited by 298
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making
Rastogi, C., Zhang, Y., Wei, D., Varshney, K. R., Dhurandhar, A., & Tomsett, R. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3512930 · Cited by 216
Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments
Grau-Moya, J., Krüger, M., & Braun, D. A. (2017) · Entropy · doi:10.3390/e20010001 · Cited by 181
A Neural Network Framework for Cognitive Bias
Korteling, J. E., Brouwer, A.-M., & Toet, A. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01561 · Cited by 158
Metadata
- Authors
- Lieder, F., Griffiths, T. L., M. Huys, Q. J., & Goodman, N. D.
- Affiliations
- University of Zurich (CH)
- University of California, Berkeley (US)
- Stanford University (US)
- Corresponding author
- Lieder, Falk
- Venue
- Psychonomic Bulletin & Review
- Published
- 2017-05-08
- Volume
- 25
- Issue
- 1
- Pages
- 322-349
- ISSN
- 1069-9384 (ISSN-L)
- 1531-5320
- OpenAlex
- W2613289252
- Cited by
- 230
- References
- 127
- Citations by year
- 2026: 26 · 2025: 25 · 2024: 44 · 2023: 35 · 2022: 31 · 2021: 20 · 2020: 19 · 2019: 13 · 2018: 7 · 2017: 9
- FWCI
- 1.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Psychonomic Bulletin & Review (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Funders
- Multidisciplinary University Research Initiative (N00014-13-1-0341)
- Office of Naval Research (N00014-13-1-0341, ONR MURI N00014-13-1-0341, MURI N00014-13-1-0341, N00014)
- Air Force Office of Scientific Research (N00014-13-1-0341, FA‐9550‐10‐1‐0232)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Cognitive Science and Education Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- anchoring effect, anchoring and adjustment, bounded rationality, cognitive resources, uncertainty reasoning, numerical estimation, accuracy motivation
- MeSH terms
- Heuristics, Cognition, Humans, Motivation, Probability, Problem Solving, Bias, Uncertainty
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
