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Related Concept Videos

Decision Making01:20

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
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Probabilistic Representation Differences between Decisions from Description and Decisions from Experience.

Dandan Nie1, Zhujing Hu1, Debiao Zhu1

  • 1School of Psychology, Jiangxi Normal University, Nanchang 330022, China.

Journal of Intelligence
|September 27, 2024
PubMed
Summary
This summary is machine-generated.

People represent probabilities differently when learning from descriptions versus experience. This difference in probability representation format contributes to the description-experience gap in decision-making.

Keywords:
decision from descriptiondecision from experiencedecision makingdescription–experience gapfrequencypercentageprobabilityrepresentation

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Area of Science:

  • Cognitive Psychology
  • Decision Science
  • Behavioral Economics

Background:

  • The description-experience gap highlights how people make different choices for identical risky decisions based on how they acquire information.
  • It remains unclear if varied information acquisition methods influence probability representation, thus causing this gap.

Purpose of the Study:

  • To investigate how probability information is represented in decisions made from description versus decisions made from experience.
  • To determine if distinct representation formats contribute to the description-experience gap.

Main Methods:

  • Experiments compared probability estimation errors in percentage and frequency formats.
  • Evaluated decisions from description and decisions from experience across low and medium-to-large probability scenarios.

Main Results:

  • Decisions from description showed lower error in percentage format for medium-to-large probabilities.
  • Decisions from experience exhibited lower estimation error in frequency format for all probability levels.
  • Both decision types showed near-perfect estimates in small-probability scenarios when learned from description.

Conclusions:

  • Decision-makers favor percentage format for probabilities when learning from description.
  • Decision-makers favor frequency format for probabilities when learning from experience.
  • Differential probability representation formats are a key factor driving the description-experience gap.