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Learned associability and associative change in human causal learning.

M E Le Pelley1, I P L McLaren

  • 1Department of Experimental Psychology, University of Cambridge, Cambridge, UK. mel22@cam.ac.uk

The Quarterly Journal of Experimental Psychology. B, Comparative and Physiological Psychology
|March 8, 2003
PubMed
Summary

This study shows that both cues and outcomes influence learning. In humans, cue processing is key to associative change, supporting the Mackintosh (1975) model of associative learning.

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Area of Science:

  • Cognitive Psychology
  • Behavioral Science
  • Learning Theory

Background:

  • The Mackintosh (1975) model proposes that associative learning depends on processing both trial cues and outcomes.
  • Previous animal studies confirmed outcome processing's role in associative change.

Purpose of the Study:

  • To investigate the distribution of associative change among elements of a reinforced compound in human causal judgment.
  • To determine if cue processing influences associative change in humans, as proposed by Mackintosh (1975).

Main Methods:

  • Utilized a human causal judgment paradigm.
  • Examined associative change within a reinforced compound stimulus.
  • Analyzed the distribution of associative change across individual cues.

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Main Results:

  • Findings indicate that processing of presented cues significantly impacts associative change.
  • Results demonstrate that cue processing plays a crucial role in human associative learning.
  • The distribution of associative change was analyzed in a human causal judgment task.

Conclusions:

  • Human cue processing influences associative change, supporting the Mackintosh (1975) model.
  • Combined evidence from animal and human studies validates the model's predictions.
  • The study reinforces the importance of both cue and outcome processing in associative learning.