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Related Experiment Videos

Probability judgment in hierarchical learning: a conflict between predictiveness and coherence.

David A Lagnado1, David R Shanks

  • 1Department of Psychology, University College London, Gower Street, WC1E 6BT, London, UK. d.lagnado@ucl.ac.uk

Cognition
|January 30, 2002
PubMed
Summary

People’s probability judgments become incoherent when they rely on learned predictiveness instead of normative probability. A dual-component model explains why format (probability vs. frequency) impacts judgment coherence in learning tasks.

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Area of Science:

  • Cognitive Psychology
  • Decision Science
  • Human Judgment and Decision Making

Background:

  • Human judgments often deviate from normative probability rules.
  • Associative learning mechanisms may prioritize predictiveness over statistical coherence.
  • Existing models struggle to explain format-dependent judgment inconsistencies.

Purpose of the Study:

  • To investigate why human probability judgments can be incoherent.
  • To examine the influence of learning mechanisms and environmental statistical contingencies on judgment formation.
  • To test whether judgment format (probability vs. frequency) affects adherence to coherence principles.

Main Methods:

  • A simulated medical diagnosis task with a hierarchical structure was employed.

Related Experiment Videos

  • Participants underwent structured learning to associate symptoms with diseases.
  • Judgments were collected under both probability and frequency formats, creating a conflict between predictiveness and coherence.

    • Main Results:

    • Under probability formats, participants' judgments favored predictiveness, violating coherence.
    • Under frequency formats, participants exhibited more normative, coherent judgments.
    • The observed pattern challenges unitary models of inference, suggesting distinct learning and judgment processes.

    Conclusions:

    • Human learning mechanisms adapt to environmental statistical contingencies, influencing judgment formation.
    • A conflict between predictiveness and coherence arises in hierarchical structures, particularly under probability formats.
    • A dual-component model is proposed to account for format-dependent judgment inconsistencies in associative learning.