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5 Ιουν 2012 · Summary. Both laypeople and experts are often called upon to evaluate the probability of uncertain events such as the outcome of a trial, the result of a medical operation, the success of a business venture, or the winner of a football game.
- Remarks on Support Theory: Recent Advances and Future Directions ...
Support theory, a formal descriptive account of subjective...
- Remarks on Support Theory: Recent Advances and Future Directions ...
1 Οκτ 1994 · Support theory argues that the judged probability of an event increases by unpacking that event (Tversky and Koehler, 1994). For example, describing the specific diagnostic tests covered by a...
The investigation relies on the theoretical framework provided by support theory, a nonextensional model of judgment under uncertainty, to trace the relationship between assessed strength of evidence, judgments of probability, and decisions under uncertainty.
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.
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 seminal research on judgmental heuristics (e.g., Tversky and Kahneman, 1974).
5 Ιουν 2012 · 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.
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 subadditivi ….
