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1

Ballester Pla, Coralio, and Penélope Hernández. "Bounded Rationality." Revista Internacional de Sociología 70, Extra_1 (2012): 27–38. http://dx.doi.org/10.3989/ris.2011.10.20.

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2

Aumann, Robert J. "Rationality and Bounded Rationality." Games and Economic Behavior 21, no. 1-2 (1997): 2–14. http://dx.doi.org/10.1006/game.1997.0585.

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3

Grüne-Yanoff, Till. "Bounded Rationality." Philosophy Compass 2, no. 3 (2007): 534–63. http://dx.doi.org/10.1111/j.1747-9991.2007.00074.x.

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4

Jones, Bryan D. "BOUNDED RATIONALITY." Annual Review of Political Science 2, no. 1 (1999): 297–321. http://dx.doi.org/10.1146/annurev.polisci.2.1.297.

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5

Lilly, Gregory. "Bounded rationality." Journal of Economic Dynamics and Control 18, no. 1 (1994): 205–30. http://dx.doi.org/10.1016/0165-1889(94)90076-0.

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6

ZHENG, ZIYU. "FROM RATIONALITY TO BOUNDED RATIONALITY*." Australian Economic Papers 44, no. 4 (2005): 455–74. http://dx.doi.org/10.1111/j.1467-8454.2005.00270.x.

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7

Friedman, Daniel, and Ariel Rubinstein. "Modeling Bounded Rationality." Southern Economic Journal 65, no. 2 (1998): 366. http://dx.doi.org/10.2307/1060679.

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8

Correa, Romar. "Bounded Social Rationality." Journal of Interdisciplinary Economics 10, no. 3 (1999): 169–75. http://dx.doi.org/10.1177/02601079x99001000301.

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9

Broadbent, Donald E. "(Un)Bounded Rationality." Contemporary Psychology: A Journal of Reviews 30, no. 4 (1985): 263–65. http://dx.doi.org/10.1037/023691.

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10

Skidd, David R. A. "Revisiting Bounded Rationality." Journal of Management Inquiry 1, no. 4 (1992): 343–47. http://dx.doi.org/10.1177/105649269214011.

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11

Board, Raymond. "Polynomially Bounded Rationality." Journal of Economic Theory 63, no. 2 (1994): 246–70. http://dx.doi.org/10.1006/jeth.1994.1042.

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12

Sperry-Taylor, Ashton T. "Bounded Rationality in the Centipede Game." Episteme 8, no. 3 (2011): 262–80. http://dx.doi.org/10.3366/epi.2011.0021.

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AbstractNormative game theory unsatisfactorily explains rational behavior. Real people do not behave as predicted, and what is prescribed as rational behavior is normally unattainable in real-life. The problem is that current normative analysis does not account for people's cognitive limitations – their bounded rationality. However, this paper develops an account of bounded rationality that explains the rationality of more realistic behavior. I focus on the Centipede Game, in which boundedly rational players explore and test others' immediate behavior, until they can apply limited backward ind
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13

Milov, O., O. Korol, and V. Khvostenko. "DEVELOPMENT OF THE CLASSIFICATION OF THE CYBER SECURITY AGENTS BOUNDED RATIONALITY." Системи управління, навігації та зв’язку. Збірник наукових праць 4, no. 56 (2019): 82–90. http://dx.doi.org/10.26906/sunz.2019.4.082.

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The subject are the bounded rationality agents of cyber security system. The purpose of this work is is to build a classification system for agents of a cybersecurity system with limited rationality. The tasks: consideration of the decisionmaking process by agents in cybersecurity systems, analysis of various manifestations of bounded rationality of agents of the cybersecurity system, introduction of classification features of bounded rationality, formal presentation of bounded rationality of various types, combining agents with various types of bounded rationality into a whole classification
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14

Spiegler, Ran. "‘BUT CAN'T WE GET THE SAME THING WITH A STANDARD MODEL?’ RATIONALIZING BOUNDED-RATIONALITY MODELS." Economics and Philosophy 27, no. 1 (2011): 23–43. http://dx.doi.org/10.1017/s0266267110000453.

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This paper discusses a common criticism of economic models that depart from the standard rational-choice paradigm - namely, that the phenomena addressed by such models can be ‘rationalized’ by some standard model. I criticize this criterion for evaluating bounded-rationality models. Using a market model with boundedly rational consumers due to Spiegler (2006a) as a test case, I show that even when it initially appears that a bounded-rationality model can be rationalized by a standard model, rationalizing models tend to come with unwarranted ‘extra baggage’. I conclude that we should impose a g
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15

Gal, Michal S. "Is Bounded Rationality in Entry Decisions Necessarily Bad for Social Welfare?" Antitrust Bulletin 61, no. 4 (2016): 541–45. http://dx.doi.org/10.1177/0003603x16676141.

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In the article Boundedly Rational Entrepreneurs and Antitrust, Professor Tor provides an excellent overview of the effects of bounded rationality on the behavior of entrepreneurs in the marketplace. In this short note, I offer some observations on the article. In particular, it suggests several additional parameters that might be worth exploring before we can reach a conclusion about the role that bounded rationality plays in economically irrational entry decisions. It also suggests some factors that should be weighed before determining whether irrational entry is socially harmful. Finally, th
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16

MOGA, Horațiu, Andrei LUCHIAN, and Razvan BOBOC. "TOWARD A BOUNDED RATIONALITY APPROACH OF CYBERWARFARE." Review of the Air Force Academy 17, no. 1 (2019): 19–28. http://dx.doi.org/10.19062/1842-9238.2019.17.1.3.

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17

Mills, Terence C., and T. J. Sargent. "Bounded Rationality in Macroeconomics." Journal of the Royal Statistical Society. Series A (Statistics in Society) 157, no. 3 (1994): 510. http://dx.doi.org/10.2307/2983545.

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18

Novikov, D. A. "Bounded Rationality and Control." Automation and Remote Control 83, no. 6 (2022): 990–1009. http://dx.doi.org/10.1134/s0005117922060145.

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19

Sheffrin, Steven M., and Thomas J. Sargent. "Bounded Rationality in Macroeconomics." Economica 62, no. 245 (1995): 134. http://dx.doi.org/10.2307/2554781.

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20

Vaughan, Mark D., and Thomas Sargent. "Bounded Rationality in Macroeconomics." Southern Economic Journal 62, no. 1 (1995): 298. http://dx.doi.org/10.2307/1061418.

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21

Cristofaro, Matteo. "Herbert Simon’s bounded rationality." Journal of Management History 23, no. 2 (2017): 170–90. http://dx.doi.org/10.1108/jmh-11-2016-0060.

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Purpose The purpose of this paper is to investigate the historical advancements attained on the bounded rationality concept in management research, considering the key influencing discoveries in related fields. Understanding the cross-fertilization that has occurred is the first step to go beyond the current knowledge on bounded rationality and to face its challenges. Design/methodology/approach The adopted method is historical. This research approach helps to explain the evolution of a widespread concept in a scientific field and, particularly, to identify the parallel influencing advancement
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22

Williamson, Paul. "Learning and Bounded Rationality." Journal of Economic Surveys 11, no. 2 (2002): 221–30. http://dx.doi.org/10.1111/1467-6419.00031.

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23

Abrahamian, Andray. "North Korea's Bounded Rationality." Survival 61, no. 1 (2019): 141–60. http://dx.doi.org/10.1080/00396338.2019.1568048.

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24

Grabiszewski, Konrad. "Rationalizing epistemic bounded rationality." Theory and Decision 78, no. 4 (2014): 629–37. http://dx.doi.org/10.1007/s11238-014-9455-y.

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25

Nyarko, Yaw, Michael Woodford, and Nicholas C. Yannelis. "Bounded rationality and learning." Economic Theory 4, no. 6 (1994): 811–20. http://dx.doi.org/10.1007/bf01213813.

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26

Evans, Jonathan St B. T. "Reasoning with Bounded Rationality." Theory & Psychology 2, no. 2 (1992): 237–42. http://dx.doi.org/10.1177/0959354392022011.

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27

De Vany, Arthur. "Bounded rationality in macroeconomics." Journal of Economic Dynamics and Control 20, no. 5 (1996): 811–17. http://dx.doi.org/10.1016/0165-1889(95)00876-4.

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28

Новиков, Дмитрий Александрович, and Dmitriy Novikov. "Bounded Rationality and Control." Mathematical Game Theory and Applications 14, no. 1 (2023): 49–84. http://dx.doi.org/10.17076/mgta_2022_1_44.

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The rationality constraint condition is formulated, which states that when solving control, computing and communication problems ($C^3$) together, real-time requirements may not make it possible to find the optimal solution (control action), forcing the use of almost optimal solutions (the best found with the existing restrictions on the search procedure). This condition connects and demonstrates the unity and deep interconnection of such concepts common in management and optimization as: necessary diversity, limited rationality, analytical complexity, heuristics, records in real-time optimiza
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29

Schilirò, Daniele. "Economic Decisions and Simon’s Notion of Bounded Rationality." International Business Research 11, no. 7 (2018): 64. http://dx.doi.org/10.5539/ibr.v11n7p64.

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Decision making in economics has been always intertwined with the concept of rationality. However, neoclassical economic literature has been dominated by a specific notion of rationality, namely, perfect rationality, characterized by the assumption of consistency and by the maximization hypothesis. Herbert Simon, in his long research activity, questioned this concept of perfect or global rationality, suggesting a different vision, based on empirical evidence and regarding an individual’s choices. He challenged the neoclassical theory of global rationality, suggesting his notion of bounded rati
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30

Malone, David. "Workload Distribution Within An Extensive Case Pedagogy: A Competitive Bidding Strategy." College Teaching Methods & Styles Journal (CTMS) 1, no. 3 (2011): 13. http://dx.doi.org/10.19030/ctms.v1i3.5235.

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This paper presents a bidding strategy that may be incorporated into case-intensive courses. The purpose of the bidding process is to equitably distribute credit when students are assigned cases of differing degrees of difficulty. The paper also collects data to help answer a basic research question regarding this device: Is there evidence of bounded rationality among students in executing their bidding strategies? While there does appear to be evidence of some bounded rationality, the bidding mechanism appears to distribute workload and credit rationally.
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31

Zhang, Peilin. "Changes in Modern Urban Planning Teaching and Theory." Open House International 44, no. 3 (2019): 40–43. http://dx.doi.org/10.1108/ohi-03-2019-b0011.

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In order to further optimize the methods of modern urban planning, the philosophical basis, planning theory, planning measures and practice are analyzed, and some discussions are made in connection with China's planning practice. The research results show that the core of modern urban planning is constructed by traditional rationalism with classical physics as its core. Urban planning is both a technology and a social science. Whether it is traditional or modern urban planning, it has been closely linked with the legal system since its birth. It is an important direction to promote the develop
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32

Huang, Tingliang, Zhe Yin, and Ying-Ju Chen. "Managing Posterior Price Matching: The Role of Customer Boundedly Rational Expectations." Manufacturing & Service Operations Management 19, no. 3 (2017): 385–402. http://dx.doi.org/10.1287/msom.2016.0612.

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The posterior price-matching policy, whereby a firm promises to reimburse the price difference to a customer who purchases a product before the firm marks it down, has been used in practice. The extensive literature has offered the following explanations for why posterior price matching is adopted: to reduce inventory, to soften competition, to price discriminate consumers, and to eliminate consumer strategic waiting incentives. In this paper, we provide a novel explanation and investigate the role of consumer bounded rationality in the sense of anecdotal reasoning. We adopt a simple model tha
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33

Long, Xueqin, Liancai Zhang, Yuejiao Wang, and Hongzhi Guan. "Dynamic Evolution of Traveler’s Bounded-Rational Route Choice Behavior." Journal of Advanced Transportation 2018 (December 4, 2018): 1–12. http://dx.doi.org/10.1155/2018/4378364.

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Travelers’ route choice shows bounded-rationality because of different perceptions of route attributes. Based on the bounded-rationality, the paper proposes the dynamic evolution rules and route choice model, and simulation method is applied to study the evolution process and results. The model includes three parameters reflecting the bounded-rationality of travelers. First, simulation results show that the bounded-rationality affects the evolution process. The switching threshold or the perception deviance is larger, convergence rate is faster, and shorter time is needed to reach equilibrium
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34

DeMoor, Michael J. "Societal Rationality: Bounded or Embedded?" Philosophia Reformata 84, no. 2 (2019): 171–93. http://dx.doi.org/10.1163/23528230-08402001.

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This paper offers a characterization and critique of the idea of bounded rationality and its consequences for public policy. It offers an alternative way of accounting for the crucial features of human rationality that bounded rationality sees, using categories inspired by the Reformational philosophy of Herman Dooyeweerd and others, and then shows how this alternative account of the “bounds” of human rationality points toward an alternative orientation toward public policy-making.
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35

Wu, Xinlin, and Yong Zhao. "Research on Bounded Rationality of Fuzzy Choice Functions." Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/928279.

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The rationality of a fuzzy choice function is a hot research topic in the study of fuzzy choice functions. In this paper, two common fuzzy sets are studied and analyzed in the framework of the Banerjee choice function. The complete rationality and bounded rationality of fuzzy choice functions are defined based on the two fuzzy sets. An assumption is presented to study the fuzzy choice function, and especially the fuzzy choice function with bounded rationality is studied combined with some rationality conditions. Results show that the fuzzy choice function with bounded rationality also satisfie
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36

Rötheli, Tobias F. "Oligopolistic Banks, Bounded Rationality, and the Credit Cycle." Economics Research International 2012 (July 19, 2012): 1–4. http://dx.doi.org/10.1155/2012/961316.

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This paper studies how boundedly rational default expectations affect the credit cycle. I propose a simple model of oligopolistic bank competition which serves to compare situations with just a portion of boundedly rational banks to situations where either all banks are rational or all banks are boundedly rational. When all banks are boundedly rational, the credit cycle is most amplified relative to the situation where all banks are rational. However, the amplifying effect of bounded rationality on the side of banks largely remains even when only a portion of banks are boundedly rational. Henc
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37

Fiedler, Ingo. "Bounded Rationality in Compulsive Consumption." Journal of Business Theory and Practice 9, no. 1 (2021): p30. http://dx.doi.org/10.22158/jbtp.v9n1p30.

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The standard microeconomic assumption is that consumers’ choices maximize consumers’ utility. This theoretical article challenges this assumption by presenting a framework of an extreme case: compulsive consumption. Backed by a wide range of existing empirical evidence it is shown by the example of pathological gamblers that some consumers (1) have inconsistent preferences, (2) underestimate the time horizon and the frequency of consumption, and (3) underestimate the costs and overestimate the benefits of consumption. The results do not necessarily violate rational choice theory if interpreted
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38

Arunachalam, V. S., and R. Bhaskar. "Bounded Rationality and Materials Selection." MRS Bulletin 24, no. 10 (1999): 57–61. http://dx.doi.org/10.1557/s0883769400053264.

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The vulnerabilities inherent in choosing an innovative material for a design can make for technological catastrophe. The points of weakness are not dependent on the technical nature of the innovation, but instead are intrinsic to human problem-solving and decision-making. We present a computational approach for managing and containing this fallibility using ideas from cognitive science and artificial intelligence, in particular, understanding how the boundedly rational behavior of humans and organizations leads to specific kinds of errors that affect the choice and use of materials.Materials c
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39

Křečková, J., and H. Brožová. "Agricultural Insurance and Bounded Rationality." Agris on-line Papers in Economics and Informatics 09, no. 01 (2017): 91–97. http://dx.doi.org/10.7160/aol.2017.090108.

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40

TAKAHASHI, Nobuo. "Where is Bounded Rationality From?" Annals of Business Administrative Science 14, no. 2 (2015): 67–82. http://dx.doi.org/10.7880/abas.14.67.

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41

Evans, David, George W. Evans, and Bruce McGough. "Bounded rationality and unemployment dynamics." Economics Letters 210 (January 2022): 110150. http://dx.doi.org/10.1016/j.econlet.2021.110150.

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42

Hernandez, Jose G. Vargas, and Ricardo Perez Ortega. "Bounded rationality in decision–making." MOJ Current Research & Reviews 2, no. 1 (2019): 1–8. http://dx.doi.org/10.15406/mojcrr.2019.02.00047.

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43

Hernandez, Jose G. Vargas, and Ricardo Perez Ortega. "Bounded rationality in decision–making." MOJ Current Research & Reviews 2, no. 1 (2019): 1–8. http://dx.doi.org/10.15406/10.15406/mojcrr.2019.02.00047.

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44

Hernández M.B.A., José G. Vargas, and Ricardo Pérez Ortega. "Bounded Rationality in Decision-Making." Journal of Business Management and Economic Research 1, no. 2 (2018): 34–46. http://dx.doi.org/10.29226/tr1001.2018.91.

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45

Sciubba, Emanuela. "Bounded Rationality: The Adaptive Toolbox." Economic Journal 113, no. 485 (2003): F189—F190. http://dx.doi.org/10.1111/1468-0297.t01-7-00105.

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46

FUKUDA, Shuichi. "K12100 Bounded Rationality and Engineering." Proceedings of Mechanical Engineering Congress, Japan 2014 (2014): _K12100–1_—_K12100–3_. http://dx.doi.org/10.1299/jsmemecj.2014._k12100-1_.

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47

Dequech, David. "Bounded Rationality, Institutions, and Uncertainty." Journal of Economic Issues 35, no. 4 (2001): 911–29. http://dx.doi.org/10.1080/00213624.2001.11506420.

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48

Sent, Esther-Mirjam. "Bounded Rationality: The Adaptive Toolbox." Journal of Economic Issues 36, no. 1 (2002): 232–34. http://dx.doi.org/10.1080/00213624.2002.11506464.

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49

SCHULTE, PAUL. "Universal vision or bounded rationality?" International Affairs 83, no. 3 (2007): 501–10. http://dx.doi.org/10.1111/j.1468-2346.2007.00634.x.

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50

Su, Xuanming. "Bounded Rationality in Newsvendor Models." Manufacturing & Service Operations Management 10, no. 4 (2008): 566–89. http://dx.doi.org/10.1287/msom.1070.0200.

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