Resource-rational decision making

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

Can cognitive discovery be incentivized with money?

Popp, P. J. O., Newell, B. R., Bartels, D. M., & Gureckis, T. M. (2025) · Journal of Experimental Psychology General · doi:10.1037/xge0001682 · Cited by 5

Editorial overview: Value-based decision making: control, value, and context in action

Bradfield, L. A., & Balleine, B. W. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.09.003 · Cited by 2

Incentives Affect the Process of Risky ChoicePreprint

Alsharawy, A., Zhang, X., Ball, S. B., & Smith, A. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3943681 · Cited by 3

Attention constraints and learning in categoriesPreprint

Bhui, R., & Jiao, P. (2020) · doi:10.31234/osf.io/t5sy4 · Cited by 2

What’s in a Sample? Epistemic Uncertainty and Metacognitive Awareness in Risk TakingPreprint

Olschewski, S., & Scheibehenne, B. (2023) · doi:10.31234/osf.io/hf8dm · Cited by 2

Explaining decision biases through context-dependent repetitionPreprint

Wagner, B., Wolf, H. B., & Kiebel, S. J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.09.617399 · Cited by 2

Fluency shapes evaluations: Feelings, interpretations, expectations, and goals

Winkielman, P., Jaśko, K., & Yoo, J. (2025) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/bs.plm.2025.03.001 · Cited by 1

Optimizing Economic Decision-Making Models through Multimodal Data Processing in Intelligent Systems

Hu, Y. (2025) · International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID) · doi:10.1109/icaid65275.2025.11034649 · Cited by 1

Decision, Inference, and Information: Formal Equivalences Under Active Inference

Sweeney, P. C., Ruiz-Serra, J., & Harré, M. (2025) · Entropy · doi:10.3390/e28010001 · Cited by 2

Deciding for others diminishes model-based decision-making but depends on individual prosociality

Huang, Y., Du, X., & Zhen, S. (2026) · npj Science of Learning · doi:10.1038/s41539-025-00397-0 · Cited by 1

Bayesians Commit the Gambler's Fallacy

Dorst, K. M. (2026) · Cognitive Science · doi:10.1111/cogs.70171 · Cited by 1

Rural residents’ preferences for low-carbon housing in Hainan, China

Ji, Y., Xu, T., Yao, L., & Qiao, D. (2026) · Habitat International · doi:10.1016/j.habitatint.2026.103729 · Cited by 1

Why we value things more as we are about to lose them: A reference-based theory

Pezzulo, G., Nuzzi, D., & Rigoli, F. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106613 · Cited by 1

When more control means better choices: Cognitive control networks drive expected-value maximization under uncertainty

Wu, X., Geng, Y., Chen, Y., Zhang, S., Liu, T., You, S., Liu, F., Jiang, Y., Wang, Q., & Wu, T. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121989 · Cited by 1

Looking to the brain to improve energy efficiency of AI

Peters, M. A. K., Yoo, S. B. M., Klincewicz, M., Toyoizumi, T., Richards, B. A., Webb, T. W., & Lau, H. C. (2026) · Current Biology · doi:10.1016/j.cub.2026.06.020 · Cited by 1

The relationship between temporal discounting and foraging

Houser, T. M. (2024) · Current Psychology · doi:10.1007/s12144-024-06716-9 · Cited by 1

Bounded Rational Decision Networks With Belief Propagation

Schmid, G., Gottwald, S., & Braun, D. A. (2024) · Neural Computation · doi:10.1162/neco_a_01719 · Cited by 1

Gaze dynamics prior to navigation support hierarchical planning

Gordon, J. R., Chuang, J. C.-I., & Pezzulo, G. (2026) · PLoS ONE · doi:10.1371/journal.pone.0351056 · Cited by 1

The Value of Non-Instrumental Information in Anxiety: Insights from a Resource-Rational Model of Planning

Bari, B. A., & Gershman, S. J. (2025) · Computational Psychiatry · doi:10.5334/cpsy.124 · Cited by 2

Action subsampling supports policy compression in large action spaces

Liu, S., & Gershman, S. J. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013444 · Cited by 2

Quantifying the Cost of Context Sensitivity in Decision‐Making

Liu, S., Gershman, S. J., & Bari, B. A. (2025) · Topics in Cognitive Science · doi:10.1111/tops.70030 · Cited by 1

Behavioral Economics in IR

Liu, J. (2023) · The information retrieval series · doi:10.1007/978-3-031-23229-9_6 · Cited by 1

Bayesians Commit the Gambler's FallacyPreprint

Dorst, K. M. (2024) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/4jzwe · Cited by 1

Environmental dynamics shape human learning: change points versus random walks

Foucault, C., Weber, L. A., & Hunt, L. (2025) · doi:10.1101/2025.11.26.690700 · Cited by 2

Theoretical Analysis of Resource-Induced Phase Transitions in Estimation Strategies

Tottori, T., & Kobayashi, T. J. (2026) · Physical Review Letters · doi:10.1103/5ynb-7k4v

Future Challenges

Dezza, I. C., Schulz, E., & Wu, C. M. (2022) · Cambridge University Press eBooks · doi:10.1017/9781009026949.014

Recurring suboptimal choices result in superior decision makingPreprint

Traczyk, J., Mondal, S., & Lenda, D. (2022) · Research Square · doi:10.21203/rs.3.rs-1724502/v1

Recurring Suboptimal Choices Result in Superior Decision MakingPreprint

Traczyk, J., Mondal, S., & Lenda, D. (2022) · Research Square · doi:10.21203/rs.3.rs-1724502/v2

Recurring Suboptimal Choices Result in Superior Decision MakingPreprint

Mondal, S., Lenda, D., & Traczyk, J. (2023) · Research Square · doi:10.21203/rs.3.rs-1724502/v3

“One-second wait”: A simple and effective intervention to boost judgment accuracyPreprint

Shirasuna, M., Kagawa, R., & Honda, H. (2023) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/fd8u9

Is loss aversion context specific? Theory and evidence from an experiment with decoysPreprint

Ganoulis, A. (2023) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/xn5ts

Cognitive heuristics are generalisation processes that reduce uncertaintyPreprint

Houser, T. M. (2023) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/wjqpb

For the longer-term benefits: When non-target is preferentially selected in visual search.Preprint

Xu, H., Xu, J., Chen, H., Zhou, J., & shen, M. (2023) · doi:10.31219/osf.io/648qu

A Computational Approach to Search in Visual Working MemoryPreprint

Singh, A., Mihali, A., Chou, W.-C., & Ma, W. J. (2023) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/jqthb

“Bayesian anchoring” and the fourfold pattern of risk attitudesPreprint

Fumarola, F., Kuśmierz, Ł., & Dekker, R. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.13.575482

Recurring Suboptimal Choices Result in Superior Decision MakingPreprint

Mondal, S., Lenda, D., & Traczyk, J. (2024) · Research Square · doi:10.21203/rs.3.rs-1724502/v4

Distracting from Equilibrium: How Feedback Can Reinforce Heuristic Play in Strategic GamesPreprint

Guida, S. D., Marchiori, D., Mayaux, D., & Polonio, L. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5036729

Optimalisasi Kinerja Perusahaan melalui Pendekatan Teori Pengambilan Keputusan

Kusumasari, I. R., Nugroho, R. H., Ramdhani, M. Z., Novaris, A. R., & Ramahani, D. P. (2024) · Indonesian Journal of Public Administration Review · doi:10.47134/par.v2i2.3480

Temporal Dynamics in instrumental Learning: Integrating Entropy Measures and Computational Models

Hassanzadeh, Z., & Bahrami, F. (2024) · National and International Iranian Conference on Biomedical Engineering (ICBME) · doi:10.1109/icbme64381.2024.10894836

Unregistered Divorce among Islamic Boarding School Alumni

Muala, A., & Wahyuni, S. I. (2024) · Al-Ahwal Jurnal Hukum Keluarga Islam · doi:10.14421/ahwal.2024.17206

Trade-Offs Between Tasks Induced by Capacity Constraints Bound the Scope of IntelligencePreprint

Turner, C. R., Arumugam, D., Nelson, L. R., & Griffiths, T. L. (2025) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/ft3e6_v2

Adjustment TheoryPreprint

Qi, Q. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5172145

An Information Bottleneck View of Social Stereotype UsePreprint

Taylor-Davies, M., & Quillien, T. (2025) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/k53tz_v1 · Cited by 1

Misremembering might actually be a sign your memory is working optimally

Jacobs, R. A. (2021) · The Conversation · doi:10.64628/aai.53tjcx5rh

Information sampling and Bayesian belief formation in statistical judgment

He, L., Wang, H., Bian, Y., Zhang, X., & Bhatia, S. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2517302122 · Cited by 1

Should oil-based economies implement taxes? Evidence from the United Arab Emirates

Hussain, A., & Ahmed, A. (2025) · International Journal of Islamic and Middle Eastern Finance and Management · doi:10.1108/imefm-11-2024-0577

Task structure flexibly shifts working memory formats across cortical circuitsPreprint

Li, J., Xu, A. Z., Bao, C., Albesa-González, A., Li, L., Clopath, C., & Erlich, J. C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.28.691186

Exogenous estradiol and progesterone administration in healthy women does not affect decision making in Iowa gambling task

Deuter, C. E., Kaczmarczyk, M., Deus, H., Kallidou, A., Otte, C., & Wingenfeld, K. (2025) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111589

The adaptive tasks and trade-offs that drive the human value system

Markovitch, N., Amir, D. H., Kavod, R. Z., Knafo‐Noam, A., & Hart, Y. (2025) · Communications Psychology · doi:10.1038/s44271-025-00382-8

Effective indicators to enable robust decision making in the Murray-Darling Basin

Dwyer, G., Holt, G., & Lester, R. E. (2026) · Ecological Informatics · doi:10.1016/j.ecoinf.2026.103613

Environmental dynamics shape human learning: change points versus random walksPreprint

Foucault, C., Weber, L. A. E., & Hunt, L. T. (2026) · eLife · doi:10.7554/elife.110137.1

Environmental dynamics shape human learning: change points versus random walksPreprint

Foucault, C., Weber, L. A. E., & Hunt, L. T. (2026) · eLife · doi:10.7554/elife.110137

Nonparametric Bayesian Contextual Control: Integrating Automatisation and Prior Knowledge for Stable Adaptive BehaviourPreprint

Hranova, S., Kiebel, S. J., Smolka, M. N., & Schwöbel, S. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.26.708143

"I Just Need GPT to Refine My Prompts”: Rethinking Onboarding and Help-Seeking with Generative 3D Modelling Tools

Gautam, K., Bhatia, P., & Chilana, P. K. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791124

Boundedly Rational Meta-learning in Sequential Consumer ChoicePreprint

Khosravi, M., Max Kleiman-weiner, A., & Yoganarasimhan, H. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6755202

The Complex Dynamics of Automobile Manufacturer Competition Model on Video Platforms

Xiao, J., & Shi, Y. (2026) · Discrete Dynamics in Nature and Society · doi:10.1155/ddns/4785086

The Value of Effort in Actions and Thoughts Derives From How It Serves Our Goals

Winkielman, P., & Jaśko, K. (2026) · Affective Science · doi:10.1007/s42761-026-00373-w

[These authors contributed equally: Anna P. Giron, Simon Ciranka.]

Giron, A., Ciranka, S., Schulz, E., van den Bos, W., Ruggeri, A., Meder, B., & Wu, C. (2023) · MPG.PuRe (Max Planck Society)

Continuous Strategy Adaptation and Discrete Switching Driven by Environment and Internal State in Meta-LearningPreprint

Chen, J., Taira, M., & Doya, K. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.08.729424

How voluntary sustainable effort influences task performance of construction project members: insights from agent-based simulation

Pan, X., Ma, G., Zhang, Y., & Ke, J. (2026) · Engineering Construction & Architectural Management · doi:10.1108/ecam-10-2025-1626

Representational capacity shapes both the “whether” and “how” of social learning

Taylor-Davies, M. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014504

Cognitive reflection and behavioral decision-making: Evidence from risk and intertemporal choices among university students

Hidayat, L. R. (2026) · Decision Sciences in Human Learning and Development · doi:10.64268/decision.v1i1.9

Enhancing fourth graders’ rational decision–making

Kotaman, H., & Kırnık, D. (2026) · International Journal of Educational Research · doi:10.1016/j.ijer.2026.103077

Choosing with mind or heart: dyadic pathways from decision-making styles to spiritual fortitude and intrinsic spirituality among parents

Körün, A. B., & Satıcı, S. A. (2026) · Current Psychology · doi:10.1007/s12144-026-09911-y

A Data‐Driven Analysis of Multicriteria Decision‐Making for Supplier Selection: A Systematic Literature Review Using Topic Modeling and Logistic Regression

García, K. J. B., & Vivaldini, M. (2026) · Knowledge and Process Management · doi:10.1002/kpm.70149

Resource-rational allocation of metacognitive resources in value-based multi-attribute choice

Cash, T. N., & Oppenheimer, D. M. (2026) · Thinking & Reasoning · doi:10.1080/13546783.2026.2722961

Accountability Travels, Autonomy Reverses: Judgment Cost and AI Exposure in Seven National Occupational InstrumentsPreprint

West, J., & Cosimano, M. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7462099

Stochastic Decision Policy Is Optimal Under Costly ControlPreprint

Li, J., Louie, K., Vittala, A., Mattar, M., Glimcher, P. W., & Shen, B. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.06.757200

The Ethics of Campus Access Programs for Learning Materials: Consent, Equity, and Institutional Responsibility

Kelemen, W. L. (2026) · Journal of Academic Ethics · doi:10.1007/s10805-026-09775-8

The Rational Use of Cognitive ResourcesPreprint

Lieder, F., Callaway, F., & Griffiths, T. L. (2025) · doi:10.31234/osf.io/wgpr3_v1

Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources

Lieder, F., & Griffiths, T. L. (2020) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1900061x · Cited by 892

Resource Rationality

Icard, T. (n.d.) · PhilPapers (PhilPapers Foundation) · Cited by 4

Beyond bounded rationality: Reverse-engineering and enhancing human intelligence

Lieder, F. (2018) · ProQuest Demo Repository · doi:10.13140/rg.2.2.16888.55041 · Cited by 3

Decoy Effect and Violation of Betweenness in Risky Decision Making: A Resource-Rational Mechanistic Account.

Nobandegani, A. S., Castanheira, K. D. S., Shultz, T. R., & Otto, A. R. (2019) · Cognitive Science · Cited by 4