Tversky Support Theory

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Support Theory: A Nonextensional Representation of ...

    http://wilsonweb.physics.harvard.edu/freshman_seminar/Tversky/Tversky%20and%20Koehler%20-%20Support%20Theory%20-%20A%20Nonextensional%20Representation%20ofSubjection%20Probability%20-%201994%20-%20Psychological%20Review.pdf
    Support Theory: A Nonextensional Representation of Subjective Probability Amos Tversky and Derek J. Koehler This article presents a new theory of subjective probability according to which different descriptions of the same event can give rise to different judgments. The experimental evidence confirms the major predictions of the theory.

A New Foundation for Support Theory

    http://eclectic.ss.uci.edu/~drwhite/pw/NarensNewfound.pdf
    theory was proposed by Amos Tversky and colleagues to explain some of the more prominent regularities revealed in these studies. This theory, known today as Support Theory, has its foundational basis in the articles of Tversky and Koehler (1994) and Rottenstreich and Tversky (1997), and incorporates Kahneman’s and Tversky’s

Prospect theory behavioraleconomics.com The BE Hub

    https://www.behavioraleconomics.com/resources/mini-encyclopedia-of-be/prospect-theory/
    Prospect theory is a behavioral model that shows how people decide between alternatives that involve risk and uncertainty (e.g. % likelihood of gains or losses). It demonstrates that people think in terms of expected utility relative to a reference point (e.g. current wealth) rather than absolute outcomes.

Subadditivity effect - Wikipedia

    https://en.wikipedia.org/wiki/Subadditivity_effect
    The subadditivity effect is the tendency to judge probability of the whole to be less than the probabilities of the parts.. Example. For instance, subjects in one experiment judged the probability of death from cancer in the United States was 18%, the probability from heart attack was 22%, and the probability of death from "other natural causes" was 33%.

Heuristics and Biases 2B- Support Theory Climbing Mount ...

    https://mountincompetence.wordpress.com/2014/01/28/heuristics-and-biases-2b-support-theory/
    Jan 28, 2014 · The idea of “support” accounts for a multitude of observations, like the self-serving bias (above average always), and confirmation bias. Support theory, a formal descriptive account of subjective probability introduced by Tversky and Koehler (1994), offers the opportunity to weave together the different heuristics into a unified account.

Unpacking, repacking, and anchoring: Advances in support ...

    http://citeseer.ist.psu.edu/showciting?cid=1877414
    The 3 most often-used performance measures in the cognitive and decision sciences are choice, response or decision time, and confidence. We develop a random walk/diffusion theory—2-stage dynamic signal detection (2DSD) theory—that accounts for all 3 measures using a common underlying process.

Prospect Theory: An Analysis of Decision under Risk Daniel ...

    http://www.its.caltech.edu/~camerer/Ec101/ProspectTheory.pdf
    PROSPECT THEORY: AN ANALYSIS OF DECISION UNDER RISK ... Advanced Study in the Behavioral Sciences at Stanford for its support. 263 . 264 D. KAHNEMAN AND A. TVERSKY That is, the overall utility of a prospect, denoted by U, is the expected utility of its outcomes.

Prospect Theory - an overview ScienceDirect Topics

    https://www.sciencedirect.com/topics/neuroscience/prospect-theory
    Prospect theory (PT; Kahneman and Tversky, 1979; Tversky and Kahneman, 1992) introduced a different type of relative comparison into the evaluation of risky choice options, related to the $100 example above.As shown in Figure 10.4a, PT replaces the utility function u of EU theory with value function v, which is defined not over absolute outcomes (and resulting wealth levels) but in terms of ...

Unpacking, repacking, and anchoring: Advances in support ...

    https://content.apa.org/journals/rev/104/2/406
    Support theory represents probability judgment in terms of the support, or strength of evidence, of the focal relative to the alternative hypothesis. It assumes that the judged probability of an event generally increases when its description is unpacked into disjoint components (implicit subadditivity) . This article presents a significant extension of the theory in which the judged ...Cited by: 503



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