Explanation and Psychological Mechanisms

Psychological science is facing an explanatory dead-end because it currently offers interpretations rather than scientific explanations without any way to move from mediators to mechanisms. The long-standing promise has always been that future investigators will transform mediators into mechanisms but this promise remains unfulfilled. The missing mechanism information might be discovered by new empirical methods that have yet to be developed, but presently there is little evidence of this. Another approach is to identify an explanatory narrative that already understands psychology in a way that provides the required causal mechanisms. Connectionist network models with sufficient mechanism information to effectively simulate/emulate psychological phenomena provide this perspective because they explain how psychological processing can take place or is brought about. Previously identified core and corollary connectionist network properties/principles function as psychological mechanisms from this perspective.

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Publication Details

Journal
Psychological Reports
Published
2026-02-05
DOI
https://doi.org/10.1177/00332941261422433
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

Explanation and Psychological Mechanisms

Warren W. Tryon
Psychological Reports
Mental Health Research Topics
article

Explanation and Psychological Mechanisms

Warren W. Tryon
article en

Abstract

Psychological science is facing an explanatory dead-end because it currently offers interpretations rather than scientific explanations without any way to move from mediators to mechanisms. The long-standing promise has always been that future investigators will transform mediators into mechanisms but this promise remains unfulfilled. The missing mechanism information might be discovered by new empirical methods that have yet to be developed, but presently there is little evidence of this. Another approach is to identify an explanatory narrative that already understands psychology in a way that provides the required causal mechanisms. Connectionist network models with sufficient mechanism information to effectively simulate/emulate psychological phenomena provide this perspective because they explain how psychological processing can take place or is brought about. Previously identified core and corollary connectionist network properties/principles function as psychological mechanisms from this perspective.

Psychological Reports
Fordham University (US)
Openalex Percentile: Top 66%
Mental Health Research Topics
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