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  1. Postscript: Rejoinder to Johnson et al. (2008) and Birnbaum (2008).Eduard Brandstätter, Gerd Gigerenzer & Ralph Hertwig - 2008 - Psychological Review 115 (1):289-290.
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  • New paradoxes of risky decision making.Michael H. Birnbaum - 2008 - Psychological Review 115 (2):463-501.
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  • An experimental investigation of transitivity in set ranking.Amélie Vrijdags - 2010 - Theory and Decision 68 (1-2):213-232.
    A decision under ‘complete uncertainty’ is one where the decision maker knows the set of possible outcomes for each decision, but cannot assign probabilities to those outcomes. This way, the problem of ranking decisions is reduced to a problem of ranking sets of outcomes. All rankings that have emerged in the literature in this domain imply transitivity. In the current study, transitivity is subjected to an empirical evaluation in two experiments, where subjects are asked to choose between sets of monetary (...)
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  • The information inelasticity of habits: Kahneman’s bounded rationality or Simon’s procedural rationality?Elias L. Khalil - 2022 - Synthese 200 (4):1-40.
    Why would decision makers adopt heuristics, priors, or in short “habits” that prevent them from optimally using pertinent information—even when such information is freely-available? One answer, Herbert Simon’s “procedural rationality” regards the question invalid: DMs do not, and in fact cannot, process information in an optimal fashion. For Simon, habits are the primitives, where humans are ready to replace them only when they no longer sustain a pregiven “satisficing” goal. An alternative answer, Daniel Kahneman’s “mental economy” regards the question valid: (...)
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  • Cognitive models of risky choice: Parameter stability and predictive accuracy of prospect theory.Andreas Glöckner & Thorsten Pachur - 2012 - Cognition 123 (1):21-32.
  • Homo Heuristicus: Why Biased Minds Make Better Inferences.Gerd Gigerenzer & Henry Brighton - 2009 - Topics in Cognitive Science 1 (1):107-143.
    Heuristics are efficient cognitive processes that ignore information. In contrast to the widely held view that less processing reduces accuracy, the study of heuristics shows that less information, computation, and time can in fact improve accuracy. We review the major progress made so far: the discovery of less-is-more effects; the study of the ecological rationality of heuristics, which examines in which environments a given strategy succeeds or fails, and why; an advancement from vague labels to computational models of heuristics; the (...)
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