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The Trier Social Stress Test Protocol for Inducing Psychological Stress

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Published on: October 19, 2011

Explanation and Psychological Mechanisms.

Warren W Tryon¹

¹Department of Psychology, Fordham University, Briarcliff Manor, NY, USA.

Psychological Reports

|February 5, 2026

Summary

This summary is machine-generated.

Psychological science needs causal mechanisms, not just interpretations. Connectionist network models offer a path forward by simulating psychological phenomena and providing these crucial mechanisms.

Keywords:

connectionist network narrative explanation psychological mechanisms

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Area of Science:

Psychological Science
Cognitive Science
Computational Neuroscience

Background:

Psychological science currently lacks scientific explanations, relying on interpretations.
The transition from mediators to mechanisms remains an unfulfilled promise in psychology.
Existing empirical methods have not yet provided the necessary mechanistic insights.

Purpose of the Study:

To identify an explanatory framework that provides causal mechanisms for psychological phenomena.
To demonstrate the utility of connectionist network models in achieving scientific explanations in psychology.

Main Methods:

Utilizing connectionist network models to simulate and emulate psychological phenomena.
Leveraging previously identified core and corollary connectionist network properties as psychological mechanisms.

Main Results:

Connectionist network models provide a perspective that explains how psychological processing occurs.
These models offer sufficient mechanism information to effectively simulate psychological phenomena.
Core and corollary connectionist network principles function as psychological mechanisms.

Conclusions:

Connectionist network models offer a viable approach to overcome the explanatory dead-end in psychological science.
These models provide the causal mechanisms necessary for scientific explanations, moving beyond mere interpretation.
The framework facilitates understanding the "how" of psychological processing.