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  2. Representativeness heuristic - Wikipedia

    en.wikipedia.org/wiki/Representativeness_heuristic

    The representativeness heuristic is simply described as assessing similarity of objects and organizing them based around the category prototype (e.g., like goes with like, and causes and effects should resemble each other). [2] This heuristic is used because it is an easy computation. [4]

  3. Heuristic (psychology) - Wikipedia

    en.wikipedia.org/wiki/Heuristic_(psychology)

    The representativeness heuristic is seen when people use categories, for example when deciding whether or not a person is a criminal. An individual thing has a high representativeness for a category if it is very similar to a prototype of that category. When people categorise things on the basis of representativeness, they are using the ...

  4. Peak–end rule - Wikipedia

    en.wikipedia.org/wiki/Peak–end_rule

    The peak–end rule is an elaboration on the snapshot model of remembered utility proposed by Barbara Fredrickson and Daniel Kahneman.This model dictates that an event is not judged by the entirety of an experience, but by prototypical moments (or snapshots) as a result of the representativeness heuristic. [1]

  5. Gambler's fallacy - Wikipedia

    en.wikipedia.org/wiki/Gambler's_fallacy

    While the representativeness heuristic and other cognitive biases are the most commonly cited cause of the gambler's fallacy, research suggests that there may also be a neurological component. Functional magnetic resonance imaging has shown that after losing a bet or gamble, known as riskloss, the frontoparietal network of the brain is ...

  6. Exemplification theory - Wikipedia

    en.wikipedia.org/wiki/Exemplification_theory

    The representativeness heuristic is a special case of availability. It stipulates that abstract base-rate information plays little role in quantitative judgments about event populations. Instead, these judgments are based on the sample of more concrete exemplars that are available to the individual at the time of decision making.

  7. Hindsight bias - Wikipedia

    en.wikipedia.org/wiki/Hindsight_bias

    The role of surprise can help explain the malleability of hindsight bias. Surprise influences how the mind reconstructs pre-outcome predictions in three ways: 1. Surprise is a direct metacognitive heuristic to estimate the distance between outcome and prediction. 2. Surprise triggers a deliberate sense-making process. 3.

  8. Alleged would-be Trump ‘assassin’ Ryan Routh offers ... - AOL

    www.aol.com/news/alleged-trump-assassin-ryan...

    Routh writes that he has been reading about the life of founding father Hamilton and “crying” over his death in a duel with former Vice President Aaron Burr.

  9. Cognitive bias - Wikipedia

    en.wikipedia.org/wiki/Cognitive_bias

    [6] For example, the representativeness heuristic is defined as "The tendency to judge the frequency or likelihood" of an occurrence by the extent of which the event "resembles the typical case." [13] The "Linda Problem" illustrates the representativeness heuristic (Tversky & Kahneman, 1983 [14]). Participants were given a description of "Linda ...