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  2. Heuristic-systematic model of information processing - Wikipedia

    en.wikipedia.org/wiki/Heuristic-systematic_model...

    The heuristic-systematic model of information processing (HSM) is a widely recognized [citation needed] model by Shelly Chaiken that attempts to explain how people receive and process persuasive messages. [1] The model states that individuals can process messages in one of two ways: heuristically or systematically. Systematic processing entails ...

  3. Heuristic - Wikipedia

    en.wikipedia.org/wiki/Heuristic

    A heuristic device is used when an entity X exists to enable understanding of, or knowledge concerning, some other entity Y. A good example is a model that, as it is never identical with what it models, is a heuristic device to enable understanding of what it models. Stories, metaphors, etc., can also be termed heuristic in this sense.

  4. Heuristic (psychology) - Wikipedia

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

    The deviation is then explained by a heuristic. This research, called the heuristics-and-biases program, challenged the idea that human beings are rational actors and first gained worldwide attention in 1974 with the Science paper "Judgment Under Uncertainty: Heuristics and Biases" [14] and although the originally proposed heuristics have been ...

  5. Social heuristics - Wikipedia

    en.wikipedia.org/wiki/Social_heuristics

    Base-Rate heuristic. The process that involves using common mental shortcuts that help a decision to be made based on known probabilities. For example, if an animal is heard howling in a large city, it is usually assumed to be a dog because the probability that a wolf is in a large city is very low. [25] Peak-and-end heuristic. When past ...

  6. Take-the-best heuristic - Wikipedia

    en.wikipedia.org/wiki/Take-the-best_heuristic

    Heuristic performance on the German city data set, generated with ggplot2 based on data in. [11] See the steps to reproduce on CRAN. Heuristic performance across 20 data sets from an illustration inside reference n° [12] For example, consider the task of selecting the bigger city of two cities when Models are fit to a data set of 83 German cities

  7. 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]

  8. Simulation heuristic - Wikipedia

    en.wikipedia.org/wiki/Simulation_heuristic

    The simulation heuristic is a psychological heuristic, or simplified mental strategy, according to which people determine the likelihood of an event based on how easy it is to picture the event mentally. Partially as a result, people experience more regret over outcomes that are easier to imagine, such as "near misses".

  9. Availability heuristic - Wikipedia

    en.wikipedia.org/wiki/Availability_heuristic

    Due to the availability heuristic, names that are more easily available are more likely to be recalled, and can thus alter judgments of probability. [31] Another example of the availability heuristic and exemplars would be seeing a shark in the ocean. Seeing a shark has a greater impact on an individual's memory than seeing a dolphin.