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Letteratura scientifica selezionata sul tema "Bounded rationality"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 9 giugno 2025

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Articoli di riviste sul tema "Bounded rationality"

1

Ballester Pla, Coralio, and Penélope Hernández. "Bounded Rationality." Revista Internacional de Sociología 70, Extra_1 (February 14, 2012): 27–38. http://dx.doi.org/10.3989/ris.2011.10.20.

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Aumann, Robert J. "Rationality and Bounded Rationality." Games and Economic Behavior 21, no. 1-2 (October 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 (May 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 (June 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 (January 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 (December 2005): 455–74. http://dx.doi.org/10.1111/j.1467-8454.2005.00270.x.

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

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Correa, Romar. "Bounded Social Rationality." Journal of Interdisciplinary Economics 10, no. 3 (July 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 (April 1985): 263–65. http://dx.doi.org/10.1037/023691.

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

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Tesi sul tema "Bounded rationality"

1

Kaur, Surinder. "Culturally bounded rationality." Thesis, Henley Business School, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294508.

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Persson, Magnus. "Bounded Rationality and Exemplar Models." Doctoral thesis, Uppsala University, Department of Psychology, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3572.

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Abstract (sommario):

<p>Bounded rationality is the study of how human cognition with limited capacity is adapted to handle the complex information structures in the environment. This thesis argues that in order to understand the bounded rationality of decision processes, it is necessary to develop decision theories that are computational process models based upon basic cognitive and perceptual mechanisms. The main goal of this thesis is to show that models of perceptual categorization based on the storage of exemplars and retrieval of similar exemplars whenever a new object is encountered (D. L. Medin & M. M. Schaffer, 1978), can be an important contribution to theories of decision making. Study I proposed, PROBEX (PROBabilities from Exemplars), a model for inferences from generic knowledge. It is a “lazy” algorithm that presumes no pre-computed abstractions. In a computer simulation it was found to be a powerful decision strategy, and it was possible to fit the model to human data in a psychologically plausible way. Study II was a theoretical investigation that found that PROBEX was very robust in conditions where the decision maker has very little information, and that it worked well even under the worst circumstances. Study III empirically tested if humans can learn to use exemplar based or one reason decision making strategies (G. Gigerenzer, P. Todd, & the ABC Research Group, 1999) where it is appropriate in a two-alternative choice task. Experiment 1 used cue structure and presentation format as independent variables, and participants easily used one reason strategies if the decision task presented the information as normal text. The participants were only able to use exemplars if they were presented as short strings of letters. Experiment 2 failed to accelerate learning of exemplar use during the decision phase, by prior exposure to exemplars in a similar task. In conclusion, this thesis supports that there are at least two modes of decision making, which are boundedly rational if they are used in the appropriate context. Exemplar strategies may, contrary to study II, only be used late in learning, and the conditions for learning need to be investigated further.</p>

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Östling, Robert. "Bounded rationality and endogenous preferences." Doctoral thesis, Handelshögskolan i Stockholm, Samhällsekonomi (S), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-454.

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Vinokur, Leon. "Environmental policy and bounded rationality." Thesis, Queen Mary, University of London, 2010. http://qmro.qmul.ac.uk/xmlui/handle/123456789/1708.

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The Prospect Theory proposes to assess outcomes relative to a reference point (or benchmark). Although the literature recognises the relevance of dynamic benchmarks, most of the applications of Prospect Theory employ static reference points (or a status quo). This paper aims to develop a Prospect Theory framework for investment under uncertainty subject to a dynamic reference point, within the context of environmental policy making, where the distinction between a dynamic and a static frameworks is crucial. I evince that, in contrast to the static framework, in a dynamic framework the investor measures not only the absolute but also the relative risk premium (Sharpe ratio) of the investment opportunity, incorporating the risks and returns of a reference portfolio. I propose that there exists a relation between static and dynamic frameworks. Using the dynamic framework, I argue that in the environmental context international co-operation is the key to a successful environmental policy

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Köhler, Jonathan Hugh. "Bounded rationality in savings decisions." Thesis, University of York, 1996. http://etheses.whiterose.ac.uk/10878/.

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Zhang, Luyao. "Bounded Rationality and Mechanism Design." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1532692312980569.

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Wu, Yiping. "Bounded rationality for BitTorrent networks." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/6681.

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Thesis (M.S.)--University of Missouri-Columbia, 2008.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on August 19, 2009) Includes bibliographical references.

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Feufel, Markus Alexander. "Bounded Rationality in the Emergency Department." Wright State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=wright1249241698.

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Salehnejad, Mohammad Reza. "From micro to macro : essays on rationality, bounded rationality, and microfoundations." Thesis, London School of Economics and Political Science (University of London), 2005. http://etheses.lse.ac.uk/1845/.

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This thesis examines some issues at the heart of theoretical macroeconomics, namely the possibility of establishing a predictive theory of individual behaviour and transforming it into a theory of the economy using aggregation. As regards individual behaviour, the basic idea in economics is that homo economicus follows the prescriptions of the expected utility theory. The thesis argues that the expected utility theory takes the agent's view of the economy as given, and is silent about how he models his choice situation and defines his decision problem. As a consequence, it is of only a minor contribution to the analysis of economic phenomena. To explain how the agent learns about the economy and thus models his choice situation, new classical economists have relatively recently proposed that the agent behaves like a statistician. That is, like a statistician, he theorises, estimates, and adapts in attempting to learn about the economy. The usefulness of this hypothesis for modelling the economy depends on the existence of a 'tight enough' theory of statistical inference. To address this issue, the thesis proposes a preliminary conjecture about how a statistician perceives and models a choice situation: the statistician regards measurable features of the environment as realisations of some random variables, with an unknown joint probability distribution. He first uses the data on these quantities to discover the joint probability distribution of the variables and then uses the estimate of the distribution to uncover the causal structure of the variables. If the resulting model turns out to be inadequate, the initial set of variables is modified and the two phases of inference are repeated. This setting allows the separation of probabilistic inference issues from those of causal inference. The thesis studies both stages of learning from data to argue why there cannot be a 'tight enough' theory of statistical learning. As a result, the marriage of the hypothesis that the agent behaves like a decision scientist with the one that he behaves like a statistician is not of much help in predicting behaviour and modelling the economy. The thesis next turns to the other issue relating to the move from a theory of individual behaviour to a theory of the economy. It argues that to explain economic phenomena it is necessary to view the economy as a society of interactive, and heterogeneous, agents. However, the regularities emerging in such a society are not directly related to the laws operating at the micro level. The connection between the individual and the aggregate levels is highly complex.

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Mirestean, Alin Tavi. "Decision making under uncertainty and bounded rationality." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2946.

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Abstract (sommario):

Thesis (Ph. D.) -- University of Maryland, College Park, 2005.<br>Thesis research directed by: Economics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Libri sul tema "Bounded rationality"

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Salehnejad, Reza. Rationality, bounded rationality and microfoundations. London: Palgrave Macmillan UK, 2007. http://dx.doi.org/10.1057/9780230625150.

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2

Bendor, Jonathan B. Bounded rationality and politics. Berkeley: University of California Press, 2010.

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3

Michael, Woodford, and Yannelis Nicholas C, eds. Bounded rationality and learning. Berlin: Springer, 1994.

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B, Bendor Jonathan, ed. Bounded rationality and politics. Berkeley: University of California Press, 2010.

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5

Munro, Alistair. Bounded Rationality and Public Policy. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1023/b99496.

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Onozaki, Tamotsu. Nonlinearity, Bounded Rationality, and Heterogeneity. Tokyo: Springer Japan, 2018. http://dx.doi.org/10.1007/978-4-431-54971-0.

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Gerd, Gigerenzer, Selten Reinhard, and Dahlem Workshop on Bounded Rationality (1999 : Berlin, Germany), eds. Bounded rationality: The adaptive toolbox. Cambridge, Mass: MIT Press, 2001.

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8

Brunnermeier, Markus K. On bounded rationality and risk aversion. London: London School of Economics, Financial Markets Group, 1997.

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9

Contini, Bruno. Testing bounded rationality against full rationality in job changing behavior. Bonn, Germany: IZA, 2007.

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10

Casson, Mark. Bounded rationality, meta-rationality and the theory of international business. Reading: University of Reading, 1997.

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Capitoli di libri sul tema "Bounded rationality"

1

Marwala, Tshilidzi, and Evan Hurwitz. "Bounded Rationality." In Artificial Intelligence and Economic Theory: Skynet in the Market, 41–50. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66104-9_4.

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2

Ogaki, Masao, and Saori C. Tanaka. "Bounded Rationality." In Behavioral Economics, 71–82. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6439-5_5.

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3

Secchi, Davide. "Bounded Rationality." In Extendable Rationality, 19–25. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7542-3_3.

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Kreps, David M. "Bounded Rationality." In The New Palgrave Dictionary of Economics and the Law, 168–73. London: Palgrave Macmillan UK, 2002. http://dx.doi.org/10.1007/978-1-349-74173-1_37.

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Rass, Stefan, Stefan Schauer, Sandra König, and Quanyan Zhu. "Bounded Rationality." In Advanced Sciences and Technologies for Security Applications, 99–114. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46908-5_5.

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6

Tsaoussi, Aspasia. "Bounded Rationality." In Encyclopedia of Law and Economics, 147–51. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-7753-2_106.

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Tsaoussi, Aspasia. "Bounded Rationality." In Encyclopedia of Law and Economics, 1–6. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7883-6_106-1.

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Isler, Ozan. "Bounded Rationality." In Encyclopedia of Evolutionary Psychological Science, 1–3. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-16999-6_2156-1.

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Augier, Mie. "Bounded Rationality." In The Palgrave Encyclopedia of Strategic Management, 118–22. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-00772-8_533.

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Simon, Herbert A. "Rationality, Bounded." In The New Palgrave Dictionary of Economics, 11288–90. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_472.

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Atti di convegni sul tema "Bounded rationality"

1

Yi, Lihui, and Ermin Wei. "On the Effect of Bounded Rationality in Electricity Markets." In 2024 IEEE 63rd Conference on Decision and Control (CDC), 5976–83. IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886273.

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Zhan, Yan, Lei Gan, Yangyi Hu, and Bo Wang. "Charging Decision of Electric Vehicles Considering Users’ Bounded Rationality." In 2024 3rd International Conference on Power Systems and Electrical Technology (PSET), 370–75. IEEE, 2024. https://doi.org/10.1109/pset62496.2024.10808674.

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Wang, Chao, Bo Jiu, Wenqiang Pu, Kang Li, Youai Wu, and Hongwei Liu. "Bounded Rationality-Based Anti-Jamming Strategy Generation for Frequency Agile Radar." In 2024 7th International Conference on Information Communication and Signal Processing (ICICSP), 602–7. IEEE, 2024. https://doi.org/10.1109/icicsp62589.2024.10809186.

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Wang, Qi, Chunyi Huang, Peng Hao, Zhenghui Li, Chengmin Wang, and Ning Xie. "Simulation of Electric Vehicle Charging Load Considering the Bounded Rationality of Users." In 2024 IEEE Power & Energy Society General Meeting (PESGM), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10688704.

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Zhang, Yifei, and Marcos M. Vasconcelos. "On the role of network structure in learning to coordinate with bounded rationality." In 2024 IEEE 63rd Conference on Decision and Control (CDC), 1684–89. IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886125.

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Yan, Yanyu, Yujie Sheng, Shiwei Xie, and Yachao Zhang. "A Variational Inequality Approach for Modeling Bounded Rationality in Electric Vehicle User Behavior." In 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2), 4313–18. IEEE, 2024. https://doi.org/10.1109/ei264398.2024.10991369.

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Kets, Willemien. "Bounded rationality in games." In the Behavioral and Quantitative Game Theory. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1807406.1807434.

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Wu, Kan, Fang Liu, Chang-de Lu, and Xi-hui Yang. "Bounded Rationality Modeling in CAID." In 2010 International Conference on Management and Service Science (MASS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmss.2010.5578341.

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Braun, Daniel A., Pedro A. Ortega, Evangelos Theodorou, and Stefan Schaal. "Path integral control and bounded rationality." In 2011 Ieee Symposium On Adaptive Dynamic Programming And Reinforcement Learning. IEEE, 2011. http://dx.doi.org/10.1109/adprl.2011.5967366.

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Scarsini, Marco, and Tristan Tomala. "Repeated congestion games with bounded rationality." In the Behavioral and Quantitative Game Theory. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1807406.1807411.

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Rapporti di organizzazioni sul tema "Bounded rationality"

1

Farhi, Emmanuel, and Iván Werning. Monetary Policy, Bounded Rationality, and Incomplete Markets. Cambridge, MA: National Bureau of Economic Research, March 2017. http://dx.doi.org/10.3386/w23281.

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Gabaix, Xavier. A Sparsity-Based Model of Bounded Rationality. Cambridge, MA: National Bureau of Economic Research, March 2011. http://dx.doi.org/10.3386/w16911.

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3

Angeletos, George-Marios, and Chen Lian. Dampening General Equilibrium: Incomplete Information and Bounded Rationality. Cambridge, MA: National Bureau of Economic Research, February 2022. http://dx.doi.org/10.3386/w29776.

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Manski, Charles, and Eytan Sheshinski. Optimal Paternalism in a Population with Bounded Rationality. Cambridge, MA: National Bureau of Economic Research, June 2023. http://dx.doi.org/10.3386/w31349.

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5

Jin, Victoria Y., and Alexander H. Levis. Experimental Design and Evaluation of Bounded Rationality Using Dimensional Analysis. Fort Belvoir, VA: Defense Technical Information Center, May 1989. http://dx.doi.org/10.21236/ada208209.

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Bomfim, Antulio, and Francis Diebold. Bounded Rationality and Strategic Complementarity in a Macroeconomic Model: Policy Effects, Persistence and Multipliers. Cambridge, MA: National Bureau of Economic Research, March 1996. http://dx.doi.org/10.3386/w5482.

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Luoto, Jill, Mario Sánchez, Marco Stampini, Jonathan Cali, Diana M. Pinto, Frederico C. Guanais, Pablo Ibarrarán, and Katherine Grace Carman. Applying Behavioral Tools to the Design of Health Projects. Inter-American Development Bank, July 2014. http://dx.doi.org/10.18235/0008508.

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This technical note discusses how behavioral economics insights can be used to enhance the design of health interventions, with emphasis on those addressing non-communicable diseases, by promoting behavioral changes. These interventions are neither sophisticated nor costly, and are particularly suited for cases in which individuals are seemingly not making rational choices about their health. The main contribution of this note is the attempt to orient non-expert practitioners in the analysis of the problem and design of the intervention. For this purpose, we provide a novel framework to map common behavioral biases and barriers that have limited the success of traditional interventions (i.e., bounded rationality, bounded willpower, and bounded selfishness) to the most promising solutions identified in the existing literature (e.g., framing, commitment contracts, and social incentives).

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Simon, Herbert A. Bound Rationality and Organizational Learning. Fort Belvoir, VA: Defense Technical Information Center, September 1989. http://dx.doi.org/10.21236/ada225615.

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