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Related Experiment Video

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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Discrimination blocking: acquisition versus performance deficits in human contingency learning.

Leyre Castro¹, Edward A Wasserman

¹Department of Psychology, University of Iowa, Iowa City, Iowa 52242, USA. leyre-castroruiz@uiowa.edu

Learning & Behavior

|October 9, 2007

Summary

This summary is machine-generated.

Human contingency learning was examined. Participants demonstrated learning of new cues, supporting performance theories like the comparator hypothesis over competitive-learning models.

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Area of Science:

Cognitive Psychology
Learning Sciences

Background:

Human contingency learning involves understanding relationships between cues and outcomes.
Existing theories, such as competitive-learning and performance accounts, offer different predictions for how new learning interacts with prior knowledge.

Purpose of the Study:

To compare acquisition and performance accounts of human contingency learning.
To investigate how learning a new discrimination (AX+/BY-) affects performance when superimposed on an initial discrimination (A+/B-).
To test predictions of competitive-learning theories versus performance theories (e.g., comparator hypothesis) in a multi-phase learning paradigm.

Main Methods:

Participants completed a three-phase learning task.
Phase 1 established an initial discrimination (A+/B-).
Phase 2 introduced a new discrimination (X+/Y-) superimposed on Phase 1 (AX+/BY-).
Phase 3 involved either maintaining (Experiment 1) or reversing (Experiment 2) the Phase 2 contingencies.

Main Results:

Participants successfully learned the added discrimination in Phase 2.
Experiment 1 (maintained contingencies) showed an advantage for the added discrimination in Phase 3, consistent with the comparator hypothesis.
Experiment 2 (reversed contingencies) showed a disadvantage for the added discrimination in Phase 3, also aligning with the comparator hypothesis's predictions.

Conclusions:

Human contingency learning accommodates new information, even when superimposed on existing knowledge.
Findings support performance-based accounts of learning, specifically the comparator hypothesis.
Competitive-learning theories do not fully explain the observed learning patterns.