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Related Concept Videos

Purposive Learning01:22

Purposive Learning

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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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Cognitive Learning01:21

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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Theory of Attribution II: Kelley's Covariation Theory01:29

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Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus:...
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Generalization, Discrimination, and Extinction01:24

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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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Updated: Dec 7, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Individual differences in causal structures inferred during feature negative learning.

Jessica C Lee1, Peter F Lovibond1

  • 1University of New South Wales Sydney, Sydney, NSW, Australia.

Quarterly Journal of Experimental Psychology (2006)
|September 29, 2020
PubMed
Summary
This summary is machine-generated.

Humans show varied learning in feature negative training, with few demonstrating conditioned inhibition. This suggests individual differences in how people represent inhibitory associations, impacting learning outcomes.

Keywords:
Feature negativeassociative learningcausal learningcausal structureconditioned inhibitionconfiguraloccasion settingprevention

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Area of Science:

  • Cognitive Psychology
  • Learning Science

Background:

  • Traditional associative learning theories predict conditioned inhibition in feature negative (A+/AB-) training.
  • However, human learning can manifest as negative occasion setting or configural learning.

Purpose of the Study:

  • To investigate evidence for prevention, modulation, and configural learning in feature negative training using a causal learning task.
  • To explore how self-report captures these learning types without procedural manipulation.

Main Methods:

  • Simultaneous feature negative training was administered in an allergist causal learning task.
  • Self-report measures were used to assess learning outcomes across two experiments.

Main Results:

  • Only a small subset of participants learned conditioned inhibition (prevention learning).
  • Transfer in a summation test correlated with implied causal structures (inhibition, occasion-setting, configural).
  • Participants showed partial sensitivity to explicit causal structure hints.

Conclusions:

  • Feature negative training is an ambiguous scenario revealing individual differences in inhibitory association representation.
  • These differences may explain modest group-level inhibitory effects observed in humans.