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A motivationally-based simulation of performance degradation under pressure
Nicholas R Wilson1, Ron Sun, Robert C Mathews
1Rensselaer Polytechnic Institute, Department of Cognitive Sciences, Troy, NY 12180, USA.
We propose a new theory within the CLARION cognitive architecture to explain performance degradation under pressure, integrating motivation and explicit-implicit process interactions. This model successfully simulates existing psychological data.
Area of Science:
- Cognitive Science
- Computational Psychology
Background:
- Performance degradation under pressure is a known psychological phenomenon.
- Existing theories (distraction, explicit-monitoring) lack detailed mechanistic explanations.
Purpose of the Study:
- To propose a detailed mechanistic theory of performance under pressure within the CLARION cognitive architecture.
- To incorporate motivation and the interaction between explicit and implicit processes.
Main Methods:
- Developed a novel theory within the CLARION cognitive architecture.
- Simulated existing psychological data using the proposed theory.
Main Results:
- The CLARION cognitive architecture, with the new theory, successfully simulated existing data.
- The theory provides a plausible mechanistic explanation for performance degradation under pressure.
Conclusions:
- The proposed CLARION-based theory offers a detailed mechanistic account of performance under pressure.
- Integrating motivation and explicit-implicit interactions is crucial for understanding this phenomenon.
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