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(Sub) Optimality and (Non) Optimal Satisficing in Risky Decision Experiments

Authors: Di Cagno, Daniela; Galliera, Arianna; Güth, Werner; Marzo, Francesca; PACE, Noemi;

(Sub) Optimality and (Non) Optimal Satisficing in Risky Decision Experiments

Country
Italy
Related Organizations
Keywords

(un)Bounded Rationality, Satisficing, Risk, Uncertainty, Experiments

22 references, page 1 of 3

Angelova, G., Tcharaktchiev, D., Boytcheva, S., Nikolova, I., Dimitrov, H., and Angelov, Z., From Individual EHR Maintenance to Generalised Findings: Experiments for Application of NLP to Patient-Related Texts, In Advances in Intelligent Analysis of Medical Data and Decision Support Systems, 203-212 (Springer International Publishing, 2013).

Buchanan, J., and Kock, N., Information overload: A decision making perspective. In Multiple Criteria Decision Making in the New Millennium, 49-58 (Springer Berlin Heidelberg, 2001).

Camerer, C.F., The process-performance paradox in expert judgment: How can experts know so much and predict so badly? in K. A. Ericsson, and J. Smith, eds.: Towards a General Theory of Expertise: Prospects and Limits (Cambridge University Press, New York, 1991).

Cho, I.K., and Kreps, D.M., "Signaling games and stable equilibria," The Quarterly Journal of Economics, 102 (1987), 179-221.

Cornsweet, T.N., Visual Perception (Academic Press, New York: 1970).

Fechner, G.T., Vorschule der aesthetik (Vol. 1) (Breitkopf and Härtel, 1976).

Gary, M.S., and Wood, R.E., "Mental models, decision rules, and performance heterogeneity," Strategic Management Journal, 32 (2011), 569-594.

Gigerenzer G., "Moral Satisficing: Rethinking Moral Behavior as Bounded Rationality," Topics in Cognitive Science, 2 (2010), 528-554. [OpenAIRE]

Gilboa, I., and Schmeidler, D., A theory of case-based decisions (Cambridge University Press: 2001). [OpenAIRE]

Güth, W., Levati, M.V., and Ploner, M., "An experimental analysis of satisficing in saving decisions," Journal of Mathematical Psychology, 53 (2009), 265-272. [OpenAIRE]

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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