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Related Experiment Videos

Is human learning rational?

D R Shanks1

  • 1Department of Psychology, University College London.

The Quarterly Journal of Experimental Psychology. A, Human Experimental Psychology
|May 1, 1995
PubMed
Summary
This summary is machine-generated.

Human associative learning accurately judges event relationships, aligning with the delta P metric even with competing cues. This accuracy emerges from adaptive network learning mechanisms, not explicit rule application.

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Area of Science:

  • Cognitive Science
  • Psychology
  • Machine Learning

Background:

  • Associative learning enables prediction and control of events.
  • Rational learning requires believing an association exists only when it truly does.
  • The delta P metric quantifies the relationship between predictor and outcome events.

Purpose of the Study:

  • To investigate the accuracy of human associative judgments compared to the delta P metric.
  • To explore the cognitive mechanisms underlying accurate human associative judgments, especially with competing cues.
  • To determine if humans explicitly apply a statistical rule like delta P for judgments.

Main Methods:

  • Comparison of human judgments with the statistical delta P metric.
  • Analysis of associative judgments in scenarios with multiple competing predictive cues.

Related Experiment Videos

  • Theoretical argument for an emergent associationist learning process.
  • Main Results:

    • Human associative judgments align favorably with the delta P metric, even with multiple competing cues.
    • Accuracy is not achieved through explicit application of a mental delta P rule.
    • Accurate judgments are an emergent property of associationist learning processes.

    Conclusions:

    • Human associative learning demonstrates remarkable accuracy in identifying true event relationships.
    • Adaptive network models provide a plausible mechanism for this emergent accuracy.
    • Cognitive processes, rather than explicit statistical rule-following, underlie accurate associative judgments.