Bounded Rationality
Abstract
The term ‘bounded rationality’ is used to designate rational choice that takes into account the cognitive limitations of the decision-maker — limitations of both knowledge and computational capacity. Bounded rationality is a central theme in the behavioural approach to economics, which is deeply concerned with the ways in which the actual decision–making process influences the decisions that are reached.
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Despite their reputation for undermining optimal decision-making, biases can actually reflect optimal decisions within a particular socio-environmental context under cognitive constraints such as memory, computation or experience.
“Despite their reputation for undermining optimal decision-making, biases can actually reflect optimal decisions within a particular socio-environmental context under cognitive constraints such as memory, computation or experience [98][99][100][101][102] .”
From Machine culture (2023) · cites this paper as [99]
The effects of biases on culture tend to strengthen through repeated transmission.
“Irrespective of their origin, the effects of biases on culture tend to strengthen through repeated transmission 99,104,105 .”
From Machine culture (2023) · cites this paper as [99]
Cites
An Evolutionary Theory of Economic Change
Berkowitz, M. K., Nelson, R. R., & Winter, S. G. (1983) · Southern Economic Journal · doi:10.2307/1058233 · Cited by 10,884 · see citing works
A Behavioral Theory of the Firm
Day, R. H., Cyert, R. M., March, J. G., Clarkson, Cohen, Feigenbaum, D., Greenberg, Moore, Soelberg, Starbuck, et al. (1964) · Econometrica · doi:10.2307/1913056 · Cited by 8,020 · see citing works
Williamson, O. E. (1975) · Cited by 6,810 · see citing works
A Behavioral Theory of the FirmPreprint
Cyert, R. M., & March, J. G. (1963) · SSRN Electronic Journal · Cited by 6,490 · see citing works
Newell, A. (1972) · Cited by 6,222 · see citing works
Simon, H. A. (1997) · The MIT Press eBooks · doi:10.7551/mitpress/4711.001.0001 · Cited by 4,854 · see citing works
Self-citationThe Foundations of Statistics.
Good, I. J., & Savage, L. J. (1955) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2343133 · Cited by 4,764 · see citing works
Judgment and choice: The psychology of decision
Goitein, B. J. (1989) · International Journal of Forecasting · doi:10.1016/0169-2070(89)90072-1 · Cited by 209 · see citing works
Flagged first, then by citations
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Tang, K., Niu, Y., Huang, J., Shi, J., & Zhang, H. (2020) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr42600.2020.00377 · Cited by 784 · see citing works
Redundancy and reduction: Speakers manage syntactic information density
Jaeger, T. F. (2010) · Cognitive Psychology · doi:10.1016/j.cogpsych.2010.02.002 · Cited by 728 · see citing works
Cognitive computational neuroscience
Kriegeskorte, N., & Douglas, P. K. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0210-5 · Cited by 535 · see citing works
Phillips-Wren, G. E., & Adya, M. P. (2020) · Journal of Decision System · doi:10.1080/12460125.2020.1768680 · Cited by 297 · see citing works
Supply disruption management under consumer panic buying and social learning effects
Zheng, R., Shou, B., & Yang, J. (2020) · Omega · doi:10.1016/j.omega.2020.102238 · Cited by 192 · see citing works
Boundedly rational route choice behavior: A review of models and methodologies
Di, X. S., & Liu, H. X. (2016) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2016.01.002 · Cited by 178 · see citing works
DesJardins, S. L., & Toutkoushian, R. K. (2005) · Springer eBooks · doi:10.1007/1-4020-3279-x_4 · Cited by 171 · see citing works
Towards data-driven decision making: the role of analytical culture and centralization efforts
Szukits, Á., & Móricz, P. (2023) · Review of Managerial Science · doi:10.1007/s11846-023-00694-1 · Cited by 166 · see citing works
Medicine and heuristics: cognitive biases and medical decision-making
Whelehan, D. F., Conlon, K. C., & Ridgway, P. F. (2020) · Irish Journal of Medical Science (1971 -) · doi:10.1007/s11845-020-02235-1 · Cited by 153 · see citing works
Habit versus choice: the process of decision-making in health-related behaviour
Lindbladh, E., & Lyttkens, C. H. (2002) · Social Science & Medicine · doi:10.1016/s0277-9536(01)00180-0 · Cited by 153 · see citing works
A bibliometric-qualitative literature review of green finance gap and future research directions
Debrah, C., Darko, A., & Chan, A. P. C. (2022) · Climate and Development · doi:10.1080/17565529.2022.2095331 · Cited by 146 · see citing works
Angner, E., & Loewenstein, G. F. (2012) · Elsevier eBooks · doi:10.1016/b978-0-444-51676-3.50022-1 · Cited by 143 · see citing works
The new institutional economics and the theory of behaviour under uncertainty
Dequech, D. (2005) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2004.03.012 · Cited by 141 · see citing works
Brinkmann, L., Baumann, F., Bonnefon, J.-F., Derex, M., Müller, T. F., Nussberger, A.-M., Czaplicka, A., Acerbi, A., Griffiths, T. L., Henrich, J., et al. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01742-2 · Cited by 132 · see citing works
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Richter, R. (2005) · European Business Organization Law Review · doi:10.1017/s1566752905001618 · Cited by 126 · see citing works
Inter-rationality; Modeling of bounded rationality in open innovation dynamics
Yun, J. J., Ahn, H., Lee, D. S., Park, K., & Zhao, X. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122015 · Cited by 123 · see citing works
Toward a Scientific Inquiry into Superstitious Business Decision-Making
Tsang, E. W. K. (2004) · Organization Studies · doi:10.1177/0170840604042405 · Cited by 118 · see citing works
Technology licensing contracts features and diversity
Bessy, C., & Brousseau, É. (1998) · International Review of Law and Economics · doi:10.1016/s0144-8188(98)00018-0 · Cited by 116 · see citing works
Zheng, X., Zhou, Y., & Iqbal, S. (2022) · Economic Analysis and Policy · doi:10.1016/j.eap.2022.08.006 · Cited by 111 · see citing works
Is Representation Enough? Racial Disparities in Levels of Force and Arrests by Police
Headley, A. M., & Wright, J. E. (2020) · Public Administration Review · doi:10.1111/puar.13225 · Cited by 110 · see citing works
Ecomindsponge: A Novel Perspective on Human Psychology and Behavior in the Ecosystem
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Bartsch, A., Neuberger, C., Stark, B., Karnowski, V., Maurer, M., Pentzold, C., Quandt, T., Quiring, O., & Schemer, C. (2024) · Communication Theory · doi:10.1093/ct/qtae020 · Cited by 95 · see citing works
Top managers' improvisational decision-making in crisis: a paradox perspective
Tabesh, P., & Vera, D. M. (2020) · Management Decision · doi:10.1108/md-08-2020-1060 · Cited by 85 · see citing works
Innovation problems and search for solutions in crowdsourcing platforms – A simulation approach
Natalicchio, A., Petruzzelli, A. M., & Garavelli, A. C. (2017) · Technovation · doi:10.1016/j.technovation.2017.05.002 · Cited by 84 · see citing works
Focusing on the coach’s eye; towards a working model of coach decision-making in talent selection
Lath, F., Koopmann, T., Faber, I. R., Baker, J. R., & Schorer, J. (2021) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2021.102011 · Cited by 83 · see citing works
Risk, uncertainty, ignorance and myopia: Their managerial implications for B2B firms
Oehmen, J., Locatelli, G., Wied, M., & Willumsen, P. L. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2020.05.018 · Cited by 82 · see citing works
A million answers to twenty questions: Choosing by checklist
Mandler, M., Manzini, P., & Mariotti, M. (2011) · Journal of Economic Theory · doi:10.1016/j.jet.2011.11.012 · Cited by 79 · see citing works
The Impact of Heterogeneity and Awareness in Modeling Epidemic Spreading on Multiplex Networks
Scatà, M., Stefano, A. D., Lió, P., & Corte, A. L. (2016) · Scientific Reports · doi:10.1038/srep37105 · Cited by 72 · see citing works
Kempeneer, S., Peeters, M., & Compernolle, T. (2021) · Sustainability · doi:10.3390/su13063239 · Cited by 68 · see citing works
Farmer land-use decision-making from an instrumental and relational perspective
Githinji, M., van Noordwijk, M., Muthuri, C. W., Speelman, E. N., & Hofstede, G. J. (2023) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2023.101303 · Cited by 67 · see citing works
Investment in the future electricity system - An agent-based modelling approach
Kraan, O., Kramer, G. J., & Nikolić, I. (2018) · Energy · doi:10.1016/j.energy.2018.03.092 · Cited by 67 · see citing works
Woelfert, F. S., & Kunst, J. R. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.572966 · Cited by 66 · see citing works
Vatankhah, S., Darvishmotevali, M., Rahimi, R., Jamali, S. M., & Ebrahim, N. A. (2023) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-05-2022-0643 · Cited by 65 · see citing works
Oscillatory dynamics in the dilemma of social distancing.Preprint
Glaubitz, A., & Fu, F. (2020) · PubMed · Cited by 65 · see citing works
Seberger, J. S., Llavore, M., Wyant, N. N., Shklovski, I., & Patil, S. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445293 · Cited by 63 · see citing works
Beyond Costs and Benefits: Understanding How Patients Make Health Care Decisions
Ubel, P. A. (2010) · The Oncologist · doi:10.1634/theoncologist.2010-s1-5 · Cited by 62 · see citing works
Oscillatory dynamics in the dilemma of social distancing
Glaubitz, A., & Fu, F. (2020) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2020.0686 · Cited by 61 · see citing works
Shared Value and the Impartial Spectator Test
Szmigin, I. T. D., & Rutherford, R. B. (2012) · Journal of Business Ethics · doi:10.1007/s10551-012-1335-1 · Cited by 58 · see citing works
The Impacts of Democratic Innovations
Ávila-Acosta, F., Carrick, J., Elstub, S., Ercan, S. A., Felicetti, A., Fernández-Martínez, J. L., Font, J., Gastil, J., Geißel, B., Gourgues, G., et al. (2023) · ECPR Press eBooks · doi:10.61675/ksby3068 · Cited by 57 · see citing works
Rethinking delusions: A selective review of delusion research through a computational lens
Ashinoff, B. K., Singletary, N. M., Baker, S. C., & Horga, G. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2021.01.023 · Cited by 56 · see citing works
Micro open innovation dynamics under inter-rationality
Yun, J. J., Zhao, X., Jeong, E., Ahn, H., & Park, K. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123263 · Cited by 55 · see citing works
Wang, B., Li, Z., Wang, S., Li, M., & Ji, A. (2022) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2022.08.008 · Cited by 54 · see citing works
Agrawal, R., Tommasi, L. D., Lyons, P. F., Zanoni, S., Papagiannis, G. K., Karakosta, C., Papapostolou, A., Durand, A., Martinez, L., Fragidis, G., et al. (2023) · Energy Efficiency · doi:10.1007/s12053-023-10090-z · Cited by 54 · see citing works
Willingness to Pay for Green Infrastructure in Residential Development—A Consumer Perspective
Zalejska‐Jonsson, A., Wilkinson, S. J., & Wahlund, R. (2020) · Atmosphere · doi:10.3390/atmos11020152 · Cited by 53 · see citing works
The spectrum of perceived uncertainty and entrepreneurial orientation: Impacts on effectuation
Cowden, B. J., Karami, M., Tang, J., Ye, W., & Adomako, S. (2022) · Journal of Small Business Management · doi:10.1080/00472778.2022.2051179 · Cited by 53 · see citing works
Burdick–Will, J., Grigg, J. A., Nerenberg, K. M., & Connolly, F. (2020) · American Sociological Review · doi:10.1177/0003122420934739 · Cited by 51 · see citing works
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Natarajan, M., Seraj, E., Altundas, B., Paleja, R., Ye, S., Chen, L., Jensen, R., Chang, K. C., & Gombolay, M. (2023) · Current Robotics Reports · doi:10.1007/s43154-023-00103-1 · Cited by 51 · see citing works
Online or in Person? Examining College Decisions to Reopen during the COVID-19 Pandemic in Fall 2020
Felson, J., & Adamczyk, A. (2021) · Socius Sociological Research for a Dynamic World · doi:10.1177/2378023120988203 · Cited by 49 · see citing works
Ma, S., Chen, Q., Wang, X., Zheng, C., Peng, Z., Yin, M., & Ma, X. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713423 · Cited by 48 · see citing works
Non-linear internationalization and the Uppsala model – On the importance of individuals
Schweizer, R., & Vahlne, J. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.11.025 · Cited by 48 · see citing works
Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field
Aoujil, Z., Hanine, M., Flores, E. S., Samad, M. A., & Ashraf, I. (2023) · IEEE Access · doi:10.1109/access.2023.3339778 · Cited by 47 · see citing works
Contractor, F. J. (2025) · Review of International Business and Strategy · doi:10.1108/ribs-01-2025-0013 · Cited by 45 · see citing works
Oschinsky, F. M., Stelter, A., & Niehaves, B. (2021) · Government Information Quarterly · doi:10.1016/j.giq.2021.101611 · Cited by 44 · see citing works
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DeDecker, J., Masiunas, J. B., Davis, A. S., & Flint, C. G. (2014) · Weed Science · doi:10.1614/ws-d-13-00138.1 · Cited by 43 · see citing works
Sent Simulating Simon Simulating Scientists
Sent, E. (2001) · Studies in History and Philosophy of Science Part A · doi:10.1016/s0039-3681(01)00012-7 · Cited by 42 · see citing works
Sassetti, S., Cavaliere, V. F., & Lombardi, S. (2021) · International Entrepreneurship and Management Journal · doi:10.1007/s11365-021-00759-1 · Cited by 41 · see citing works
Privacy Theories and Frameworks
Wiśniewski, P., & Page, X. (2022) · Springer eBooks · doi:10.1007/978-3-030-82786-1_2 · Cited by 41 · see citing works
Toward a Model of Intelligence as an Economy of Agents
Baum, E. B. (1999) · Machine Learning · doi:10.1023/a:1007593124513 · Cited by 41 · see citing works
Ansari, F. (2020) · Computers & Industrial Engineering · doi:10.1016/j.cie.2020.106319 · Cited by 40 · see citing works
Power Dynamics in Field-Level Events: A Narrative Approach
Gross, T., & Zilber, T. B. (2020) · Organization Studies · doi:10.1177/0170840620907197 · Cited by 40 · see citing works
Demons of Ecological Rationality
Otworowska, M., Blokpoel, M., Sweers, M., Wareham, T., & van Rooij, I. (2017) · Cognitive Science · doi:10.1111/cogs.12530 · Cited by 39 · see citing works
Yoon, J., Alkhudary, R., Talluri, S., & Féniès, P. (2025) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2025.3585433 · Cited by 38 · see citing works
Measuring the stasis: Punctuated equilibrium theory and partisan polarization
Brock, C. R., & Mallinson, D. J. (2023) · Policy Studies Journal · doi:10.1111/psj.12519 · Cited by 37 · see citing works
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Tisdall, L., & Zhang, Y. (2020) · Journal of Air Transport Management · doi:10.1016/j.jairtraman.2020.101922 · Cited by 36 · see citing works
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Liu, X., Lee, S., Bilionis, I., Karava, P., Joe, J., & Sadeghi, S. A. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.117005 · Cited by 35 · see citing works
Yan, J., Mmbaga, N. A., & Gras, D. (2022) · Strategic Entrepreneurship Journal · doi:10.1002/sej.1446 · Cited by 35 · see citing works
Modeling, Replicating, and Predicting Human Behavior: A Survey
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Jala, S., Fry, M., & Elliott, R. M. (2023) · Journal of Clinical Nursing · doi:10.1111/jocn.16845 · Cited by 34 · see citing works
Peralta, A. A., Balta‐Ozkan, N., & Longhurst, P. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.117949 · Cited by 34 · see citing works
Hagemeier-Klose, M., Beichler, S. A., Davidse, B. J., & Deppisch, S. (2014) · International Journal of Disaster Risk Science · doi:10.1007/s13753-014-0015-4 · Cited by 33 · see citing works
Grabs, J. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108875325 · Cited by 33 · see citing works
Milan, G. S., Bebber, S., Toni, D. D., & Eberle, L. (2015) · Journal of Management Information System & E-commerce · doi:10.15640/jmise.v2n2a2 · Cited by 32 · see citing works
Making way for design thinking in the public sector: a taxonomy of strategies
Brinkman, G., van Buuren, A., Voorberg, W., & van der Bijl-Brouwer, M. (2023) · Policy Design and Practice · doi:10.1080/25741292.2023.2199958 · Cited by 30 · see citing works
ALX, an action logic for agents with bounded rationality
Huang, Z., Masuch, M., & Polós, L. (1996) · Artificial Intelligence · doi:10.1016/0004-3702(94)00090-5 · Cited by 30 · see citing works
Economics for an uncertain world
Demartino, G. F., Grabel, I., & Scoones, I. (2024) · World Development · doi:10.1016/j.worlddev.2023.106426 · Cited by 24 · see citing works
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Weiser, A., & von Krogh, G. (2023) · European Management Review · doi:10.1111/emre.12630 · Cited by 29 · see citing works
Emotional decisions in structured populations for the evolution of public cooperation
Wang, Y., Chen, T., Chen, Q., & Si, G. (2016) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2016.10.077 · Cited by 29 · see citing works
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System
Xue, X., Yu, X., Zhou, D., Wang, X., Bi, C., Wang, S., & Wang, F. (2024) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2023.123639 · Cited by 28 · see citing works
Kudłak, R. (2024) · Journal of Business Ethics · doi:10.1007/s10551-024-05778-w · Cited by 28 · see citing works
Generative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Making
Yun, B., Feng, D., Chen, A. S., Nikzad, A., & Salehi, N. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713337 · Cited by 28 · see citing works
Rational thoughts in neural codes
Wu, Z., Kwon, M., Daptardar, S., Schrater, P., & Pitkow, X. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1912336117 · Cited by 27 · see citing works
What forms of rationality for sustainable development?
Faucheux, S., Froger, G., & Noël, J.-F. (1995) · The Journal of Socio-Economics · doi:10.1016/1053-5357(95)90035-7 · Cited by 27 · see citing works
Glaubitz, A., & Fu, F. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2407308121 · Cited by 26 · see citing works
Stetzka, R. M., & Winter, S. (2021) · Journal of Economic Surveys · doi:10.1111/joes.12473 · Cited by 26 · see citing works
Herold, D. M., Saberi, S., Kouhizadeh, M., & Wilde, S. J. (2021) · Journal of Global Operations and Strategic Sourcing · doi:10.1108/jgoss-09-2021-0066 · Cited by 26 · see citing works
On the computational complexity of ethics: moral tractability for minds and machines
Stenseke, J. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-10732-3 · Cited by 26 · see citing works
Wang, S., Liu, C., Hou, Y., & Xue, X. (2022) · Journal of Environmental Management · doi:10.1016/j.jenvman.2022.114905 · Cited by 25 · see citing works
Bouzekri, H., Bara, N., Alpan, G., & Giard, V. (2022) · International Journal of Production Economics · doi:10.1016/j.ijpe.2022.108561 · Cited by 25 · see citing works
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Safarzynska, K. (2013) · Ecological Economics · doi:10.1016/j.ecolecon.2013.03.020 · Cited by 30 · see citing works
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Brinkmann, L., Gezerli, D., Kleist, K. V., Müller, T. F., Rahwan, I., & Pescetelli, N. (2022) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2020.0426 · Cited by 24 · see citing works
Peng, J., Nie, Q., & Cheng, Y. (2023) · Journal of Organizational Behavior · doi:10.1002/job.2697 · Cited by 24 · see citing works
Toward a New Science of Common Sense
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Basalla, M., Schneider, J., Luksik, M., Jaakonmäki, R., & Brocke, J. V. (2021) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2021.1882240 · Cited by 23 · see citing works
The role of cue utilization in the detection of phishing emails
Sturman, D., Valenzuela, C., Plate, O., Tanvir, T., Auton, J. C., Bayl‐Smith, P., & Wiggins, M. W. (2022) · Applied Ergonomics · doi:10.1016/j.apergo.2022.103887 · Cited by 23 · see citing works
Behavioral strategy: A systematic literature review and research framework
Hesselbarth, I., Alnoor, A., & Tiberius, V. (2023) · Management Decision · doi:10.1108/md-09-2021-1274 · Cited by 23 · see citing works
Investment decisions under uncertainty
Sen, S. (2019) · Journal of Post Keynesian Economics · doi:10.1080/01603477.2019.1571927 · Cited by 23 · see citing works
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Eschmann, R., Groshek, J., Li, S., Toraif, N., & Thompson, J. G. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106583 · Cited by 23 · see citing works
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Seo, S., Kennedy-Metz, L. R., Zenati, M. A., Shah, J., DIAS, R. D., & Unhelkar, V. V. (2021) · IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) · doi:10.1109/cogsima51574.2021.9475925 · Cited by 23 · see citing works
Nicolau, J. L., Shin, H., Kim, B., & O’Connell, J. F. (2022) · Journal of Travel Research · doi:10.1177/00472875221093014 · Cited by 22 · see citing works
“You never farm alone”: Farmer land-use decisions influenced by social relations
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- Authors
- Simon, H. A.
- Corresponding author
- Simon, Herbert A.
- Venue
- Utility and Probability
- Publisher
- Palgrave Macmillan UK
- Published
- 1990
- Pages
- 15-18
- OpenAlex
- W4249761288
- Cited by
- 705
- References
- 11
- Citations by year
- 2026: 68 · 2025: 100 · 2024: 113 · 2023: 105 · 2022: 96 · 2021: 66 · 2020: 66 · 2019: 12 · 2018: 5 · 2017: 7 · 2016: 7 · 2015: 7 · 2014: 5 · 2013: 4 · 2012: 3
- FWCI
- 4.16
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Palgrave Macmillan UK eBooks (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Theory and Institutions
- Social Sciences › Safety Research › Experimental Behavioral Economics Studies
- Keywords
- bounded rationality, rational choice, cognitive limitations, computational power, behavioral economics, decision-making, limits of knowledge
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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 ›
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